1
|
Naghavi M, Ong KL, Aali A, Ababneh HS, Abate YH, Abbafati C, Abbasgholizadeh R, Abbasian M, Abbasi-Kangevari M, Abbastabar H, Abd ElHafeez S, Abdelmasseh M, Abd-Elsalam S, Abdelwahab A, Abdollahi M, Abdollahifar MA, Abdoun M, Abdulah DM, Abdullahi A, Abebe M, Abebe SS, Abedi A, Abegaz KH, Abhilash ES, Abidi H, Abiodun O, Aboagye RG, Abolhassani H, Abolmaali M, Abouzid M, Aboye GB, Abreu LG, Abrha WA, Abtahi D, Abu Rumeileh S, Abualruz H, Abubakar B, Abu-Gharbieh E, Abu-Rmeileh NME, Aburuz S, Abu-Zaid A, Accrombessi MMK, Adal TG, Adamu AA, Addo IY, Addolorato G, Adebiyi AO, Adekanmbi V, Adepoju AV, Adetunji CO, Adetunji JB, Adeyeoluwa TE, Adeyinka DA, Adeyomoye OI, Admass BAA, Adnani QES, Adra S, Afolabi AA, Afzal MS, Afzal S, Agampodi SB, Agasthi P, Aggarwal M, Aghamiri S, Agide FD, Agodi A, Agrawal A, Agyemang-Duah W, Ahinkorah BO, Ahmad A, Ahmad D, Ahmad F, Ahmad MM, Ahmad S, Ahmad S, Ahmad T, Ahmadi K, Ahmadzade AM, Ahmed A, Ahmed A, Ahmed H, Ahmed LA, Ahmed MS, Ahmed MS, Ahmed MB, Ahmed SA, Ajami M, Aji B, Akara EM, Akbarialiabad H, Akinosoglou K, Akinyemiju T, Akkaif MA, Akyirem S, Al Hamad H, Al Hasan SM, Alahdab F, Alalalmeh SO, Alalwan TA, Al-Aly Z, Alam K, Alam M, Alam N, Al-amer RM, Alanezi FM, Alanzi TM, Al-Azzam S, Albakri A, Albashtawy M, AlBataineh MT, Alcalde-Rabanal JE, Aldawsari KA, Aldhaleei WA, Aldridge RW, Alema HB, Alemayohu MA, Alemi S, Alemu YM, Al-Gheethi AAS, Alhabib KF, Alhalaiqa FAN, Al-Hanawi MK, Ali A, Ali A, Ali L, Ali MU, Ali R, Ali S, Ali SSS, Alicandro G, Alif SM, Alikhani R, Alimohamadi Y, Aliyi AA, Aljasir MAM, Aljunid SM, Alla F, Allebeck P, Al-Marwani S, Al-Maweri SAA, Almazan JU, Al-Mekhlafi HM, Almidani L, Almidani O, Alomari MA, Al-Omari B, Alonso J, Alqahtani JS, Alqalyoobi S, Alqutaibi AY, Al-Sabah SK, Altaany Z, Altaf A, Al-Tawfiq JA, Altirkawi KA, Aluh DO, Alvis-Guzman N, Alwafi H, Al-Worafi YM, Aly H, Aly S, Alzoubi KH, Amani R, Amare AT, Amegbor PM, Ameyaw EK, Amin TT, Amindarolzarbi A, Amiri S, Amirzade-Iranaq MH, Amu H, Amugsi DA, Amusa GA, Ancuceanu R, Anderlini D, Anderson DB, Andrade PP, Andrei CL, Andrei T, Angus C, Anil A, Anil S, Anoushiravani A, Ansari H, Ansariadi A, Ansari-Moghaddam A, Antony CM, Antriyandarti E, Anvari D, Anvari S, Anwar S, Anwar SL, Anwer R, Anyasodor AE, Aqeel M, Arab JP, Arabloo J, Arafat M, Aravkin AY, Areda D, Aremu A, Aremu O, Ariffin H, Arkew M, Armocida B, Arndt MB, Ärnlöv J, Arooj M, Artamonov AA, Arulappan J, Aruleba RT, Arumugam A, Asaad M, Asadi-Lari M, Asgedom AA, Asghariahmadabad M, Asghari-Jafarabadi M, Ashraf M, Aslani A, Astell-Burt T, Athar M, Athari SS, Atinafu BTT, Atlaw HW, Atorkey P, Atout MMW, Atreya A, Aujayeb A, Ausloos M, Avan A, Awedew AF, Aweke AM, Ayala Quintanilla BP, Ayatollahi H, Ayuso-Mateos JL, Ayyoubzadeh SM, Azadnajafabad S, Azevedo RMS, Azzam AY, B DB, Babu AS, Badar M, Badiye AD, Baghdadi S, Bagheri N, Bagherieh S, Bah S, Bahadorikhalili S, Bahmanziari N, Bai R, Baig AA, Baker JL, Bako AT, Bakshi RK, Balakrishnan S, Balasubramanian M, Baltatu OC, Bam K, Banach M, Bandyopadhyay S, Banik PC, Bansal H, Bansal K, Barbic F, Barchitta M, Bardhan M, Bardideh E, Barker-Collo SL, Bärnighausen TW, Barone-Adesi F, Barqawi HJ, Barrero LH, Barrow A, Barteit S, Barua L, Basharat Z, Bashiri A, Basiru A, Baskaran P, Basnyat B, Bassat Q, Basso JD, Basting AVL, Basu S, Batra K, Baune BT, Bayati M, Bayileyegn NS, Beaney T, Bedi N, Beghi M, Behboudi E, Behera P, Behnoush AH, Behzadifar M, Beiranvand M, Bejarano Ramirez DF, Béjot Y, Belay SA, Belete CM, Bell ML, Bello MB, Bello OO, Belo L, Beloukas A, Bender RG, Bensenor IM, Beran A, Berezvai Z, Berhie AY, Berice BN, Bernstein RS, Bertolacci GJ, Bettencourt PJG, Beyene KA, Bhagat DS, Bhagavathula AS, Bhala N, Bhalla A, Bhandari D, Bhangdia K, Bhardwaj N, Bhardwaj P, Bhardwaj PV, Bhargava A, Bhaskar S, Bhat V, Bhatti GK, Bhatti JS, Bhatti MS, Bhatti R, Bhutta ZA, Bikbov B, Bishai JD, Bisignano C, Bisulli F, Biswas A, Biswas B, Bitaraf S, Bitew BD, Bitra VR, Bjørge T, Boachie MK, Boampong MS, Bobirca AV, Bodolica V, Bodunrin AO, Bogale EK, Bogale KA, Bohlouli S, Bolarinwa OA, Boloor A, Bonakdar Hashemi M, Bonny A, Bora K, Bora Basara B, Borhany H, Borzutzky A, Bouaoud S, Boustany A, Boxe C, Boyko EJ, Brady OJ, Braithwaite D, Brant LC, Brauer M, Brazinova A, Brazo-Sayavera J, Breitborde NJK, Breitner S, Brenner H, Briko AN, Briko NI, Britton G, Brown J, Brugha T, Bulamu NB, Bulto LN, Buonsenso D, Burns RA, Busse R, Bustanji Y, Butt NS, Butt ZA, Caetano dos Santos FL, Calina D, Cámera LA, Campos LA, Campos-Nonato IR, Cao C, Cao Y, Capodici A, Cárdenas R, Carr S, Carreras G, Carrero JJ, Carugno A, Carvalheiro CG, Carvalho F, Carvalho M, Castaldelli-Maia JM, Castañeda-Orjuela CA, Castelpietra G, Catalá-López F, Catapano AL, Cattaruzza MS, Cederroth CR, Cegolon L, Cembranel F, Cenderadewi M, Cercy KM, Cerin E, Cevik M, Chadwick J, Chahine Y, Chakraborty C, Chakraborty PA, Chan JSK, Chan RNC, Chandika RM, Chandrasekar EK, Chang CK, Chang JC, Chanie GS, Charalampous P, Chattu VK, Chaturvedi P, Chatzimavridou-Grigoriadou V, Chaurasia A, Chen AW, Chen AT, Chen CS, Chen H, Chen MX, Chen S, Cheng CY, Cheng ETW, Cherbuin N, Cheru WA, Chien JH, Chimed-Ochir O, Chimoriya R, Ching PR, Chirinos-Caceres JL, Chitheer A, Cho WCS, Chong B, Chopra H, Choudhari SG, Chowdhury R, Christopher DJ, Chukwu IS, Chung E, Chung E, Chung E, Chung SC, Chutiyami M, Cindi Z, Cioffi I, Claassens MM, Claro RM, Coberly K, Cogen RM, Columbus A, Comfort H, Conde J, Cortese S, Cortesi PA, Costa VM, Costanzo S, Cousin E, Couto RAS, Cowden RG, Cramer KM, Criqui MH, Cruz-Martins N, Cuadra-Hernández SM, Culbreth GT, Cullen P, Cunningham M, Curado MP, Dadana S, Dadras O, Dai S, Dai X, Dai Z, Dalli LL, Damiani G, Darega Gela J, Das JK, Das S, Das S, Dascalu AM, Dash NR, Dashti M, Dastiridou A, Davey G, Dávila-Cervantes CA, Davis Weaver N, Davletov K, De Leo D, de Luca K, Debele AT, Debopadhaya S, Degenhardt L, Dehghan A, Deitesfeld L, Del Bo' C, Delgado-Enciso I, Demessa BH, Demetriades AK, Deng K, Deng X, Denova-Gutiérrez E, Deravi N, Dereje N, Dervenis N, Dervišević E, Des Jarlais DC, Desai HD, Desai R, Devanbu VGC, Dewan SMR, Dhali A, Dhama K, Dhimal M, Dhingra S, Dhulipala VR, Dias da Silva D, Diaz D, Diaz MJ, Dima A, Ding DD, Ding H, Dinis-Oliveira RJ, Dirac MA, Djalalinia S, Do THP, do Prado CB, Doaei S, Dodangeh M, Dodangeh M, Dohare S, Dokova KG, Dolecek C, Dominguez RMV, Dong W, Dongarwar D, D'Oria M, Dorostkar F, Dorsey ER, dos Santos WM, Doshi R, Doshmangir L, Dowou RK, Driscoll TR, Dsouza HL, Dsouza V, Du M, Dube J, Duncan BB, Duraes AR, Duraisamy S, Durojaiye OC, Dwyer-Lindgren L, Dzianach PA, Dziedzic AM, E'mar AR, Eboreime E, Ebrahimi A, Echieh CP, Edinur HA, Edvardsson D, Edvardsson K, Efendi D, Efendi F, Effendi DE, Eikemo TA, Eini E, Ekholuenetale M, Ekundayo TC, El Sayed I, Elbarazi I, Elema TB, Elemam NM, Elgar FJ, Elgendy IY, ElGohary GMT, Elhabashy HR, Elhadi M, El-Huneidi W, Elilo LT, Elmeligy OAA, Elmonem MA, Elshaer M, Elsohaby I, Emeto TI, Engelbert Bain L, Erkhembayar R, Esezobor CI, Eshrati B, Eskandarieh S, Espinosa-Montero J, Esubalew H, Etaee F, Fabin N, Fadaka AO, Fagbamigbe AF, Fahim A, Fahimi S, Fakhri-Demeshghieh A, Falzone L, Fareed M, Farinha CSES, Faris MEM, Faris PS, Faro A, Fasanmi AO, Fatehizadeh A, Fattahi H, Fauk NK, Fazeli P, Feigin VL, Feizkhah A, Fekadu G, Feng X, Fereshtehnejad SM, Feroze AH, Ferrante D, Ferrari AJ, Ferreira N, Fetensa G, Feyisa BR, Filip I, Fischer F, Flavel J, Flood D, Florin BT, Foigt NA, Folayan MO, Fomenkov AA, Foroutan B, Foroutan M, Forthun I, Fortuna D, Foschi M, Fowobaje KR, Francis KL, Franklin RC, Freitas A, Friedman J, Friedman SD, Fukumoto T, Fuller JE, Fux B, Gaal PA, Gadanya MA, Gaidhane AM, Gaihre S, Gakidou E, Galali Y, Galles NC, Gallus S, Ganbat M, Gandhi AP, Ganesan B, Ganiyani MA, Garcia-Gordillo MA, Gardner WM, Garg J, Garg N, Gautam RK, Gbadamosi SO, Gebi TG, Gebregergis MW, Gebrehiwot M, Gebremeskel TG, Georgescu SR, Getachew T, Gething PW, Getie M, Ghadiri K, Ghahramani S, Ghailan KY, Ghasemi MR, Ghasempour Dabaghi G, Ghasemzadeh A, Ghashghaee A, Ghassemi F, Ghazy RM, Ghimire A, Ghoba S, Gholamalizadeh M, Gholamian A, Gholamrezanezhad A, Gholizadeh N, Ghorbani M, Ghorbani Vajargah P, Ghoshal AG, Gill PS, Gill TK, Gillum RF, Ginindza TG, Girmay A, Glasbey JC, Gnedovskaya EV, Göbölös L, Godinho MA, Goel A, Golchin A, Goldust M, Golechha M, Goleij P, Gomes NGM, Gona PN, Gopalani SV, Gorini G, Goudarzi H, Goulart AC, Goulart BNG, Goyal A, Grada A, Graham SM, Grivna M, Grosso G, Guan SY, Guarducci G, Gubari MIM, Gudeta MD, Guha A, Guicciardi S, Guimarães RA, Gulati S, Gunawardane DA, Gunturu S, Guo C, Gupta AK, Gupta B, Gupta MK, Gupta M, Gupta RD, Gupta R, Gupta S, Gupta VB, Gupta VK, Gupta VK, Gurmessa L, Gutiérrez RA, Habibzadeh F, Habibzadeh P, Haddadi R, Hadei M, Hadi NR, Haep N, Hafezi-Nejad N, Hailu A, Haj-Mirzaian A, Halboub ES, Hall BJ, Haller S, Halwani R, Hamadeh RR, Hameed S, Hamidi S, Hamilton EB, Han C, Han Q, Hanif A, Hanifi N, Hankey GJ, Hanna F, Hannan MA, Haque MN, Harapan H, Hargono A, Haro JM, Hasaballah AI, Hasan I, Hasan MT, Hasani H, Hasanian M, Hashi A, Hasnain MS, Hassan I, Hassanipour S, Hassankhani H, Haubold J, Havmoeller RJ, Hay SI, He J, Hebert JJ, Hegazi OE, Heidari G, Heidari M, Heidari-Foroozan M, Helfer B, Hendrie D, Herrera-Serna BY, Herteliu C, Hesami H, Hezam K, Hill CL, Hiraike Y, Holla R, Horita N, Hossain MM, Hossain S, Hosseini MS, Hosseinzadeh H, Hosseinzadeh M, Hosseinzadeh Adli A, Hostiuc M, Hostiuc S, Hsairi M, Hsieh VCR, Hsu RL, Hu C, Huang J, Hultström M, Humayun A, Hundie TG, Hussain J, Hussain MA, Hussein NR, Hussien FM, Huynh HH, Hwang BF, Ibitoye SE, Ibrahim KS, Iftikhar PM, Ijo D, Ikiroma AI, Ikuta KS, Ikwegbue PC, Ilesanmi OS, Ilic IM, Ilic MD, Imam MT, Immurana M, Inamdar S, Indriasih E, Iqhrammullah M, Iradukunda A, Iregbu KC, Islam MR, Islam SMS, Islami F, Ismail F, Ismail NE, Iso H, Isola G, Iwagami M, Iwu CCD, Iyamu IO, Iyer M, J LM, Jaafari J, Jacob L, Jacobsen KH, Jadidi-Niaragh F, Jafarinia M, Jafarzadeh A, Jaggi K, Jahankhani K, Jahanmehr N, Jahrami H, Jain N, Jairoun AA, Jaiswal A, Jamshidi E, Janko MM, Jatau AI, Javadov S, Javaheri T, Jayapal SK, Jayaram S, Jebai R, Jee SH, Jeganathan J, Jha AK, Jha RP, Jiang H, Jin Y, Johnson O, Jokar M, Jonas JB, Joo T, Joseph A, Joseph N, Joshua CE, Joshy G, Jozwiak JJ, Jürisson M, K V, Kaambwa B, Kabir A, Kabir Z, Kadashetti V, Kadir DH, Kalani R, Kalankesh LR, Kalankesh LR, Kaliyadan F, Kalra S, Kamal VK, Kamarajah SK, Kamath R, Kamiab Z, Kamyari N, Kanagasabai T, Kanchan T, Kandel H, Kanmanthareddy AR, Kanmiki EW, Kanmodi KK, Kannan S S, Kansal SK, Kantar RS, Kapoor N, Karajizadeh M, Karanth SD, Karasneh RA, Karaye IM, Karch A, Karim A, Karimi SE, Karimi Behnagh A, Kashoo FZ, Kasnazani QHA, Kasraei H, Kassebaum NJ, Kassel MB, Kauppila JH, Kaur N, Kawakami N, Kayode GA, Kazemi F, Kazemian S, Kazmi TH, Kebebew GM, Kebede AD, Kebede F, Keflie TS, Keiyoro PN, Keller C, Kelly JT, Kempen JH, Kerr JA, Kesse-Guyot E, Khajuria H, Khalaji A, Khalid N, Khalil AA, Khalilian A, Khamesipour F, Khan A, Khan A, Khan G, Khan I, Khan IA, Khan MN, Khan M, Khan MJ, Khan MAB, Khan ZA, Khan suheb MZ, Khanmohammadi S, Khatab K, Khatami F, Khatatbeh H, Khatatbeh MM, Khavandegar A, Khayat Kashani HR, Khidri FF, Khodadoust E, Khorgamphar M, Khormali M, Khorrami Z, Khosravi A, Khosravi MA, Kifle ZD, Kim G, Kim J, Kim K, Kim MS, Kim YJ, Kimokoti RW, Kinzel KE, Kisa A, Kisa S, Klu D, Knudsen AKS, Kocarnik JM, Kochhar S, Kocsis T, Koh DSQ, Kolahi AA, Kolves K, Kompani F, Koren G, Kosen S, Kostev K, Koul PA, Koulmane Laxminarayana SL, Krishan K, Krishna H, Krishna V, Krishnamoorthy V, Krishnamoorthy Y, Krohn KJ, Kuate Defo B, Kucuk Bicer B, Kuddus MA, Kuddus M, Kuitunen I, Kulimbet M, Kulkarni V, Kumar A, Kumar A, Kumar H, Kumar M, Kumar R, Kumari M, Kumie FT, Kundu S, Kurmi OP, Kusnali A, Kusuma D, Kwarteng A, Kyriopoulos I, Kyu HH, La Vecchia C, Lacey B, Ladan MA, Laflamme L, Lagat AK, Lager ACJ, Lahmar A, Lai DTC, Lal DK, Lalloo R, Lallukka T, Lam H, Lám J, Landrum KR, Lanfranchi F, Lang JJ, Langguth B, Lansingh VC, Laplante-Lévesque A, Larijani B, Larsson AO, Lasrado S, Lassi ZS, Latief K, Latifinaibin K, Lauriola P, Le NHH, Le TTT, Le TDT, Ledda C, Ledesma JR, Lee M, Lee PH, Lee SW, Lee SWH, Lee WC, Lee YH, LeGrand KE, Leigh J, Leong E, Lerango TL, Li MC, Li W, Li X, Li Y, Li Z, Ligade VS, Likaka ATM, Lim LL, Lim SS, Lindstrom M, Linehan C, Liu C, Liu G, Liu J, Liu R, Liu S, Liu X, Liu X, Llanaj E, Loftus MJ, López-Bueno R, Lopukhov PD, Loreche AM, Lorkowski S, Lotufo PA, Lozano R, Lubinda J, Lucchetti G, Lugo A, Lunevicius R, Ma ZF, Maass KL, Machairas N, Machoy M, Madadizadeh F, Madsen C, Madureira-Carvalho ÁM, Maghazachi AA, Maharaj SB, Mahjoub S, Mahmoud MA, Mahmoudi A, Mahmoudi E, Mahmoudi R, Majeed A, Makhdoom IF, Malakan Rad E, Maled V, Malekzadeh R, Malhotra AK, Malhotra K, Malik AA, Malik I, Malta DC, Mamun AA, Mansouri P, Mansournia MA, Mantovani LG, Maqsood S, Marasini BP, Marateb HR, Maravilla JC, Marconi AM, Mardi P, Marino M, Marjani A, Martinez G, Martinez-Guerra BA, Martinez-Piedra R, Martini D, Martini S, Martins-Melo FR, Martorell M, Marx W, Maryam S, Marzo RR, Masaka A, Masrie A, Mathieson S, Mathioudakis AG, Mathur MR, Mattumpuram J, Matzopoulos R, Maude RJ, Maugeri A, Maulik PK, Mayeli M, Mazaheri M, Mazidi M, McGrath JJ, McKee M, McKowen ALW, McLaughlin SA, McPhail SM, Mechili EA, Medina JRC, Mediratta RP, Meena JK, Mehra R, Mehrabani-Zeinabad K, Mehrabi Nasab E, Mekene Meto T, Meles GG, Mendez-Lopez MAM, Mendoza W, Menezes RG, Mengist B, Mentis AFA, Meo SA, Meresa HA, Meretoja A, Meretoja TJ, Mersha AM, Mesfin BA, Mestrovic T, Mettananda KCD, Mettananda S, Meylakhs P, Mhlanga A, Mhlanga L, Mi T, Miazgowski T, Micha G, Michalek IM, Miller TR, Mills EJ, Minh LHN, Mini GK, Mir Mohammad Sadeghi P, Mirica A, Mirijello A, Mirrakhimov EM, Mirutse MK, Mirzaei M, Misganaw A, Mishra A, Misra S, Mitchell PB, Mithra P, Mittal C, Mobayen M, Moberg ME, Mohamadkhani A, Mohamed J, Mohamed MFH, Mohamed NS, Mohammad-Alizadeh-Charandabi S, Mohammadi S, Mohammadian-Hafshejani A, Mohammadifard N, Mohammed H, Mohammed H, Mohammed M, Mohammed S, Mohammed S, Mohan V, Mojiri-Forushani H, Mokari A, Mokdad AH, Molinaro S, Molokhia M, Momtazmanesh S, Monasta L, Mondello S, Moni MA, Moodi Ghalibaf A, Moradi M, Moradi Y, Moradi-Lakeh M, Moradzadeh M, Moraga P, Morawska L, Moreira RS, Morovatdar N, Morrison SD, Morze J, Mosser JF, Motappa R, Mougin V, Mouodi S, Mousavi P, Mousavi SE, Mousavi Khaneghah A, Mpolya EA, Mrejen M, Mubarik S, Muccioli L, Mueller UO, Mughal F, Mukherjee S, Mulita F, Munjal K, Murillo-Zamora E, Musaigwa F, Musallam KM, Mustafa A, Mustafa G, Muthupandian S, Muthusamy R, Muzaffar M, Myung W, Nagarajan AJ, Nagel G, Naghavi P, Naheed A, Naik GR, Naik G, Nainu F, Nair S, Najmuldeen HHR, Nakhostin Ansari N, Nangia V, Naqvi AA, Narasimha Swamy S, Narayana AI, Nargus S, Nascimento BR, Nascimento GG, Nasehi S, Nashwan AJ, Natto ZS, Nauman J, Naveed M, Nayak BP, Nayak VC, Nazri-Panjaki A, Ndejjo R, Nduaguba SO, Negash H, Negoi I, Negoi RI, Negru SM, Nejadghaderi SA, Nejjari C, Nena E, Nepal S, Ng M, Nggada HA, Nguefack-Tsague G, Ngunjiri JW, Nguyen AH, Nguyen DH, Nguyen HTH, Nguyen PT, Nguyen VT, Niazi RK, Nielsen KR, Nigatu YT, Nikolouzakis TK, Nikoobar A, Nikoomanesh F, Nikpoor AR, Ningrum DNA, Nnaji CA, Nnyanzi LA, Noman EA, Nomura S, Noreen M, Noroozi N, Norrving B, Noubiap JJ, Novotney A, Nri-Ezedi CA, Ntaios G, Ntsekhe M, Nuñez-Samudio V, Nurrika D, Nutor JJ, Oancea B, Obamiro KO, Oboh MA, Odetokun IA, Odogwu NM, O'Donnell MJ, Oduro MS, Ofakunrin AOD, Ogunkoya A, Oguntade AS, Oh IH, Okati-Aliabad H, Okeke SR, Okekunle AP, Okonji OC, Olagunju AT, Olaiya MT, Olatubi MI, Oliveira GMM, Olufadewa II, Olusanya BO, Olusanya JO, Oluwafemi YD, Omar HA, Omar Bali A, Omer GL, Ondayo MA, Ong S, Onwujekwe OE, Onyedibe KI, Ordak M, Orisakwe OE, Orish VN, Ortega-Altamirano DV, Ortiz A, Osman WMS, Ostroff SM, Osuagwu UL, Otoiu A, Otstavnov N, Otstavnov SS, Ouyahia A, Ouyang G, Owolabi MO, Ozten Y, P A MP, Padron-Monedero A, Padubidri JR, Pal PK, Palicz T, Palladino C, Palladino R, Palma-Alvarez RF, Pan F, Pan HF, Pana A, Panda P, Panda-Jonas S, Pandi-Perumal SR, Pangaribuan HU, Panos GD, Panos LD, Pantazopoulos I, Pantea Stoian AM, Papadopoulou P, Parikh RR, Park S, Parthasarathi A, Pashaei A, Pasovic M, Passera R, Pasupula DK, Patel HM, Patel J, Patel SK, Patil S, Patoulias D, Patthipati VS, Paudel U, Pazoki Toroudi H, Pease SA, Peden AE, Pedersini P, Pensato U, Pepito VCF, Peprah EK, Peprah P, Perdigão J, Pereira M, Peres MFP, Perianayagam A, Perico N, Pestell RG, Pesudovs K, Petermann-Rocha FE, Petri WA, Pham HT, Philip AK, Phillips MR, Pierannunzio D, Pigeolet M, Pigott DM, Pilgrim T, Piracha ZZ, Piradov MA, Pirouzpanah S, Plakkal N, Plotnikov E, Podder V, Poddighe D, Polinder S, Polkinghorne KR, Poluru R, Ponkilainen VT, Porru F, Postma MJ, Poudel GR, Pourshams A, Pourtaheri N, Prada SI, Pradhan PMS, Prakasham TN, Prasad M, Prashant A, Prates EJS, Prieto Alhambra D, PRISCILLA TINA, Pritchett N, Purohit BM, Puvvula J, Qasim NH, Qattea I, Qazi AS, Qian G, Qiu S, Qureshi MF, Rabiee Rad M, Radfar A, Radhakrishnan RA, Radhakrishnan V, Raeisi Shahraki H, Rafferty Q, Raggi A, Raghav PR, Raheem N, Rahim F, Rahim MJ, Rahimi-Movaghar V, Rahman MM, Rahman MHU, Rahman M, Rahman MA, Rahmani AM, Rahmani S, Rahmanian V, Rajaa S, Rajput P, Rakovac I, Ramasamy SK, Ramazanu S, Rana K, Ranabhat CL, Rancic N, Rane A, Rao CR, Rao IR, Rao M, Rao SJ, Rasali DP, Rasella D, Rashedi S, Rashedi V, Rashidi MM, Rasouli-Saravani A, Rasul A, Rathnaiah Babu G, Rauniyar SK, Ravangard R, Ravikumar N, Rawaf DL, Rawaf S, Rawal L, Rawassizadeh R, Rawlley B, Raza RZ, Razo C, Redwan EMM, Rehman FU, Reifels L, Reiner Jr RC, Remuzzi G, Reyes LF, Rezaei M, Rezaei N, Rezaei N, Rezaeian M, Rhee TG, Riaz MA, Ribeiro ALP, Rickard J, Riva HR, Robinson-Oden HE, Rodrigues CF, Rodrigues M, Roever L, Rogowski ELB, Rohloff P, Romadlon DS, Romero-Rodríguez E, Romoli M, Ronfani L, Roshandel G, Roth GA, Rout HS, Roy N, Roy P, Rubagotti E, Ruela GDA, Rumisha SF, Runghien T, Rwegerera GM, Rynkiewicz A, S N C, Saad AMA, Saadatian Z, Saber K, Saber-Ayad MM, SaberiKamarposhti M, Sabour S, Sacco S, Sachdev PS, Sachdeva R, Saddik B, Saddler A, Sadee BA, Sadeghi E, Sadeghi E, Sadeghian F, Saeb MR, Saeed U, Safaeinejad F, Safi SZ, Sagar R, Saghazadeh A, Sagoe D, Saheb Sharif-Askari F, Saheb Sharif-Askari N, Sahebkar A, Sahoo SS, Sahoo U, Sahu M, Saif Z, Sajid MR, Sakshaug JW, Salam N, Salamati P, Salami AA, Salaroli LB, Saleh MA, Salehi S, Salem MR, Salem MZY, Salimi S, Samadi Kafil H, Samadzadeh S, Samargandy S, Samodra YL, Samy AM, Sanabria J, Sanna F, Santomauro DF, Santos IS, Santric-Milicevic MM, Sao Jose BP, Sarasmita MA, Saraswathy SYI, Saravanan A, Saravi B, Sarikhani Y, Sarkar T, Sarmiento-Suárez R, Sarode GS, Sarode SC, Sarveazad A, Sathian B, Sathish T, Satpathy M, Sayeed A, Sayeed MA, Saylan M, Sayyah M, Scarmeas N, Schaarschmidt BM, Schlaich MP, Schlee W, Schmidt MI, Schneider IJC, Schuermans A, Schumacher AE, Schutte AE, Schwarzinger M, Schwebel DC, Schwendicke F, Šekerija M, Selvaraj S, Senapati S, Senthilkumaran S, Sepanlou SG, Serban D, Sethi Y, Sha F, Shabany M, Shafaat A, Shafie M, Shah NS, Shah PA, Shah SM, Shahabi S, Shahbandi A, Shahid I, Shahid S, Shahid W, Shahsavari HR, Shahwan MJ, Shaikh A, Shaikh MA, Shakeri A, Shalash AS, Sham S, Shamim MA, Shams-Beyranvand M, Shamshad H, Shamsi MA, Shanawaz M, Shankar A, Sharfaei S, Sharifan A, Sharifi-Rad J, Sharma R, Sharma S, Sharma U, Sharma V, Shastry RP, Shavandi A, Shayan M, Shehabeldine AME, Sheikh A, Sheikhi RA, Shen J, Shetty A, Shetty BSK, Shetty PH, Shi P, Shibuya K, Shiferaw D, Shigematsu M, Shin MJ, Shin YH, Shiri R, Shirkoohi R, Shitaye NA, Shittu A, Shiue I, Shivakumar KM, Shivarov V, Shokraneh F, Shokri A, Shool S, Shorofi SA, Shrestha S, Shuval K, Siddig EE, Silva JP, Silva LMLR, Silva S, Simpson CR, Singal A, Singh A, Singh BB, Singh G, Singh J, Singh NP, Singh P, Singh S, Sinha DN, Sinto R, Siraj MS, Sirota SB, Sitas F, Sivakumar S, Skryabin VY, Skryabina AA, Sleet DA, Socea B, Sokhan A, Solanki R, Solanki S, Soleimani H, Soliman SSM, Song S, Song Y, Sorensen RJD, Soriano JB, Soyiri IN, Spartalis M, Spearman S, Sreeramareddy CT, Srivastava VK, Stanaway JD, Stanikzai MH, Stark BA, Starnes JR, Starodubova AV, Stein C, Stein DJ, Steinbeis F, Steiner C, Steinmetz JD, Steiropoulos P, Stevanović A, Stockfelt L, Stokes MA, Stortecky S, Subramaniyan V, Suleman M, Suliankatchi Abdulkader R, Sultana A, Sun HZ, Sun J, Sundström J, Sunkersing D, Sunnerhagen KS, Swain CK, Szarpak L, Szeto MD, Szócska M, Tabaee Damavandi P, Tabarés-Seisdedos R, Tabatabaei SM, Tabatabaei Malazy O, Tabatabaeizadeh SA, Tabatabai S, Tabish M, TADAKAMADLA JYOTHI, Tadakamadla SK, Taheri Abkenar Y, Taheri Soodejani M, Taiba J, Takahashi K, Talaat IM, Talukder A, Tampa M, Tamuzi JL, Tan KK, Tandukar S, Tang H, Tang HK, Tarigan IU, Tariku MK, Tariqujjaman M, Tarkang EE, Tavakoli Oliaee R, Tavangar SM, Taveira N, Tefera YM, Temsah MH, Temsah RMH, Teramoto M, Tesler R, Teye-Kwadjo E, Thakur R, Thangaraju P, Thankappan KR, Tharwat S, Thayakaran R, Thomas N, Thomas NK, Thomson AM, Thrift AG, Thum CCC, Thygesen LC, Tian J, Tichopad A, Ticoalu JHV, Tillawi T, Tiruye TY, Titova MV, Tonelli M, Topor-Madry R, Toriola AT, Torre AE, Touvier M, Tovani-Palone MR, Tran JT, Tran NM, Trico D, Tromans SJ, Truyen TTTT, Tsatsakis A, Tsegay GM, Tsermpini EE, Tumurkhuu M, Tung K, Tyrovolas S, Uddin SMN, Udoakang AJ, Udoh A, Ullah A, Ullah I, Ullah S, Ullah S, Umakanthan S, Umeokonkwo CD, Unim B, Unnikrishnan B, Unsworth CA, Upadhyay E, Urso D, Usman JS, Vahabi SM, Vaithinathan AG, Valizadeh R, Van de Velde SM, Van den Eynde J, Varga O, Vart P, Varthya SB, Vasankari TJ, Vasic M, Vaziri S, Vellingiri B, Venketasubramanian N, Verghese NA, Verma M, Veroux M, Verras GI, Vervoort D, Villafañe JH, Villanueva GI, Vinayak M, Violante FS, Viskadourou M, Vladimirov SK, Vlassov V, Vo B, Vollset SE, Vongpradith A, Vos T, Vujcic IS, Vukovic R, Wafa HA, Waheed Y, Wamai RG, Wang C, Wang N, Wang S, Wang S, Wang Y, Wang YP, Waqas M, Ward P, Wassie EG, Watson S, Watson SLW, Weerakoon KG, Wei MY, Weintraub RG, Weiss DJ, Westerman R, Whisnant JL, Wiangkham T, Wickramasinghe DP, Wickramasinghe ND, Wilandika A, Wilkerson C, Willeit P, Wilson S, Wojewodzic MW, Woldegebreal DH, Wolf AW, Wolfe CDA, Wondimagegene YA, Wong YJ, Wongsin U, Wu AM, Wu C, Wu F, Wu X, Wu Z, Xia J, Xiao H, Xie Y, Xu S, Xu WD, Xu X, Xu YY, Yadollahpour A, Yamagishi K, Yang D, Yang L, Yano Y, Yao Y, Yaribeygi H, Ye P, Yehualashet SS, Yesiltepe M, Yesuf SA, Yezli S, Yi S, Yigezu A, Yiğit A, Yiğit V, Yip P, Yismaw MB, Yismaw Y, Yon DK, Yonemoto N, Yoon SJ, You Y, Younis MZ, Yousefi Z, Yu C, Yu Y, Yuh FH, Zadey S, Zadnik V, Zafari N, Zakham F, Zaki N, Zaman SB, Zamora N, Zand R, Zangiabadian M, Zar HJ, Zare I, Zarrintan A, Zeariya MGM, Zeinali Z, Zhang H, Zhang J, Zhang J, Zhang L, Zhang Y, Zhang ZJ, Zhao H, Zhong C, Zhou J, Zhu B, Zhu L, Ziafati M, Zielińska M, Zitoun OA, Zoladl M, Zou Z, Zuhlke LJ, Zumla A, Zweck E, Zyoud SH, Wool EE, Murray CJL. Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet 2024; 403:2100-2132. [PMID: 38582094 DOI: 10.1016/s0140-6736(24)00367-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 02/15/2024] [Accepted: 02/22/2024] [Indexed: 04/08/2024]
Abstract
BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation.
Collapse
|
2
|
Brauer M, Roth GA, Aravkin AY, Zheng P, Abate KH, Abate YH, Abbafati C, Abbasgholizadeh R, Abbasi MA, Abbasian M, Abbasifard M, Abbasi-Kangevari M, Abd ElHafeez S, Abd-Elsalam S, Abdi P, Abdollahi M, Abdoun M, Abdulah DM, Abdullahi A, Abebe M, Abedi A, Abedi A, Abegaz TM, Abeldaño Zuñiga RA, Abiodun O, Abiso TL, Aboagye RG, Abolhassani H, Abouzid M, Aboye GB, Abreu LG, Abualruz H, Abubakar B, Abu-Gharbieh E, Abukhadijah HJJ, Aburuz S, Abu-Zaid A, Adane MM, Addo IY, Addolorato G, Adedoyin RA, Adekanmbi V, Aden B, Adetunji JB, Adeyeoluwa TE, Adha R, Adibi A, Adnani QES, Adzigbli LA, Afolabi AA, Afolabi RF, Afshin A, Afyouni S, Afzal MS, Afzal S, Agampodi SB, Agbozo F, Aghamiri S, Agodi A, Agrawal A, Agyemang-Duah W, Ahinkorah BO, Ahmad A, Ahmad D, Ahmad F, Ahmad N, Ahmad S, Ahmad T, Ahmed A, Ahmed A, Ahmed A, Ahmed LA, Ahmed MB, Ahmed S, Ahmed SA, Ajami M, Akalu GT, Akara EM, Akbarialiabad H, Akhlaghi S, Akinosoglou K, Akinyemiju T, Akkaif MA, Akkala S, Akombi-Inyang B, Al Awaidy S, Al Hasan SM, Alahdab F, AL-Ahdal TMA, Alalalmeh SO, Alalwan TA, Al-Aly Z, Alam K, Alam N, Alanezi FM, Alanzi TM, Albakri A, AlBataineh MT, Aldhaleei WA, Aldridge RW, Alemayohu MA, Alemu YM, Al-Fatly B, Al-Gheethi AAS, Al-Habbal K, Alhabib KF, Alhassan RK, Ali A, Ali A, Ali BA, Ali I, Ali L, Ali MU, Ali R, Ali SSS, Ali W, Alicandro G, Alif SM, Aljunid SM, Alla F, Al-Marwani S, Al-Mekhlafi HM, Almustanyir S, Alomari MA, Alonso J, Alqahtani JS, Alqutaibi AY, Al-Raddadi RM, Alrawashdeh A, Al-Rifai RH, Alrousan SM, Al-Sabah SK, Alshahrani NZ, Altaany Z, Altaf A, Al-Tawfiq JA, Altirkawi KA, Aluh DO, Alvis-Guzman N, Alvis-Zakzuk NJ, Alwafi H, Al-Wardat MS, Al-Worafi YM, Aly H, Aly S, Alzoubi KH, Al-Zyoud W, Amaechi UA, Aman Mohammadi M, Amani R, Amiri S, Amirzade-Iranaq MH, Ammirati E, Amu H, Amugsi DA, Amusa GA, Ancuceanu R, Anderlini D, Anderson JA, Andrade PP, Andrei CL, Andrei T, Anenberg SC, Angappan D, Angus C, Anil A, Anil S, Anjum A, Anoushiravani A, Antonazzo IC, Antony CM, Antriyandarti E, Anuoluwa BS, Anvari D, Anvari S, Anwar S, Anwar SL, Anwer R, Anyabolo EE, Anyasodor AE, Apostol GLC, Arabloo J, Arabzadeh Bahri R, Arafat M, Areda D, Aregawi BB, Aremu A, Armocida B, Arndt MB, Ärnlöv J, Arooj M, Artamonov AA, Artanti KD, Aruleba IT, Arumugam A, Asbeutah AM, Asgary S, Asgedom AA, Ashbaugh C, Ashemo MY, Ashraf T, Askarinejad A, Assmus M, Astell-Burt T, Athar M, Athari SS, Atorkey P, Atreya A, Aujayeb A, Ausloos M, Avila-Burgos L, Awoke AA, Ayala Quintanilla BP, Ayatollahi H, Ayestas Portugal C, Ayuso-Mateos JL, Azadnajafabad S, Azevedo RMS, Azhar GS, Azizi H, Azzam AY, Backhaus IL, Badar M, Badiye AD, Bagga A, Baghdadi S, Bagheri N, Bagherieh S, Bahrami Taghanaki P, Bai R, Baig AA, Baker JL, Bakkannavar SM, Balasubramanian M, Baltatu OC, Bam K, Bandyopadhyay S, Banik B, Banik PC, Banke-Thomas A, Bansal H, Barchitta M, Bardhan M, Bardideh E, Barker-Collo SL, Bärnighausen TW, Barone-Adesi F, Barqawi HJ, Barrero LH, Barrow A, Barteit S, Basharat Z, Basiru A, Basso JD, Bastan MM, Basu S, Batchu S, Batra K, Batra R, Baune BT, Bayati M, Bayileyegn NS, Beaney T, Behnoush AH, Beiranvand M, Béjot Y, Bekele A, Belgaumi UI, Bell AW, Bell ML, Bello MB, Bello OO, Belo L, Beloukas A, Bendak S, Bennett DA, Bennitt FB, Bensenor IM, Benzian H, Beran A, Berezvai Z, Bernabe E, Bernstein RS, Bettencourt PJG, Bhagavathula AS, Bhala N, Bhandari D, Bhardwaj N, Bhardwaj P, Bhaskar S, Bhat AN, Bhat V, Bhatti GK, Bhatti JS, Bhatti MS, Bhatti R, Bhuiyan MA, Bhutta ZA, Bikbov B, Bishai JD, Bisignano C, Biswas A, Biswas B, Biswas RK, Bjørge T, Boachie MK, Boakye H, Bockarie MJ, Bodolica V, Bodunrin AO, Bogale EK, Bolla SR, Boloor A, Bonakdar Hashemi M, Boppana SH, Bora Basara B, Borhany H, Botero Carvajal A, Bouaoud S, Boufous S, Bourne R, Boxe C, Braithwaite D, Brant LC, Brar A, Breitborde NJK, Breitner S, Brenner H, Briko AN, Britton G, Brown CS, Browne AJ, Brunoni AR, Bryazka D, Bulamu NB, Bulto LN, Buonsenso D, Burkart K, Burns RA, Busse R, Bustanji Y, Butt NS, Butt ZA, Caetano dos Santos FL, Cagney J, Cahuana-Hurtado L, Calina D, Cámera LA, Campos LA, Campos-Nonato IR, Cao C, Cao F, Cao Y, Capodici A, Cárdenas R, Carr S, Carreras G, Carrero JJ, Carugno A, Carvalho F, Carvalho M, Castaldelli-Maia JM, Castañeda-Orjuela CA, Castelpietra G, Catalá-López F, Catapano AL, Cattaruzza MS, Caye A, Cederroth CR, Cegolon L, Cenderadewi M, Cercy KM, Cerin E, Chadwick J, Chakraborty C, Chakraborty PA, Chakraborty S, Chan JSK, Chan RNC, Chandan JS, Chandika RM, Chaturvedi P, Chen AT, Chen CS, Chen H, Chen MX, Chen M, Chen S, Cheng CY, Cheng ETW, Cherbuin N, Chi G, Chichagi F, Chimed-Ochir O, Chimoriya R, Ching PR, Chirinos-Caceres JL, Chitheer A, Cho WCS, Chong B, Chopra H, Chowdhury R, Christopher DJ, Chu DT, Chukwu IS, Chung E, Chung SC, Chutiyami M, Cioffi I, Cogen RM, Cohen AJ, Columbus A, Conde J, Corlateanu A, Cortese S, Cortesi PA, Costa VM, Costanzo S, Criqui MH, Cruz JA, Cruz-Martins N, Culbreth GT, da Silva AG, Dadras O, Dai X, Dai Z, Daikwo PU, Dalli LL, Damiani G, D'Amico E, D'Anna L, Darwesh AM, Das JK, Das S, Dash NR, Dashti M, Dávila-Cervantes CA, Davis Weaver N, Davitoiu DV, De la Hoz FP, de la Torre-Luque A, De Leo D, Debopadhaya S, Degenhardt L, Del Bo' C, Delgado-Enciso I, Delgado-Saborit JM, Demoze CK, Denova-Gutiérrez E, Dervenis N, Dervišević E, Desai HD, Desai R, Devanbu VGC, Dewan SMR, Dhali A, Dhama K, Dhane AS, Dhimal ML, Dhimal M, Dhingra S, Dhulipala VR, Dhungana RR, Dias da Silva D, Diaz D, Diaz LA, Diaz MJ, Dima A, Ding DD, Dinu M, Djalalinia S, Do TC, Do THP, do Prado CB, Dodangeh M, Dohare S, Dokova KG, Dong W, Dongarwar D, D'Oria M, Dorostkar F, Dorsey ER, Doshi R, Doshmangir L, Dowou RK, Driscoll TR, Dsouza AC, Dsouza HL, Dumith SC, Duncan BB, Duraes AR, Duraisamy S, Dushpanova A, Dzianach PA, Dziedzic AM, Ebrahimi A, Echieh CP, Ed-Dra A, Edinur HA, Edvardsson D, Edvardsson K, Efendi F, Eftekharimehrabad A, Eini E, Ekholuenetale M, Ekundayo TC, El Arab RA, El Sayed Zaki M, El-Dahiyat F, Elemam NM, Elgar FJ, ElGohary GMT, Elhabashy HR, Elhadi M, Elmehrath AO, Elmeligy OAA, Elshaer M, Elsohaby I, Emeto TI, Esfandiari N, Eshrati B, Eslami M, Esmaeili SV, Estep K, Etaee F, Fabin N, Fagbamigbe AF, Fagbule OF, Fahimi S, Falzone L, Fareed M, Farinha CSES, Faris MEM, Faris PS, Faro A, Fasina FO, Fatehizadeh A, Fauk NK, Fazylov T, Feigin VL, Feng X, Fereshtehnejad SM, Feroze AH, Ferrara P, Ferrari AJ, Ferreira N, Fetensa G, Feyisa BR, Filip I, Fischer F, Fitriana I, Flavel J, Flohr C, Flood D, Flor LS, Foigt NA, Folayan MO, Force LM, Fortuna D, Foschi M, Franklin RC, Freitas A, Friedman SD, Fux B, G S, Gaal PA, Gaihre S, Gajdács M, Galali Y, Gallus S, Gandhi AP, Ganesan B, Ganiyani MA, Garcia V, Gardner WM, Garg RK, Gautam RK, Gebi TG, Gebregergis MW, Gebrehiwot M, Gebremariam TBB, Gebremeskel TG, Gerema U, Getacher L, Getahun GKA, Getie M, Ghadirian F, Ghafarian S, Ghaffari Jolfayi A, Ghailan KY, Ghajar A, Ghasemi M, Ghasempour Dabaghi G, Ghasemzadeh A, Ghassemi F, Ghazy RM, Gholami A, Gholamrezanezhad A, Gholizadeh N, Ghorbani M, Gil AU, Gil GF, Gilbertson NM, Gill PS, Gill TK, Gindaba EZ, Girmay A, Glasbey JC, Gnedovskaya EV, Göbölös L, Godinho MA, Goel A, Golechha M, Goleij P, Golinelli D, Gomes NGM, Gopalani SV, Gorini G, Goudarzi H, Goulart AC, Gouravani M, Goyal A, Graham SM, Grivna M, Grosso G, Guan SY, Guarducci G, Gubari MIM, Guha A, Guicciardi S, Gulati S, Gulisashvili D, Gunawardane DA, Guo C, Gupta AK, Gupta B, Gupta M, Gupta R, Gupta RD, Gupta R, Gupta S, Gupta VB, Gupta VK, Gupta VK, Habibzadeh F, Habibzadeh P, Hadaro TS, Hadian Z, Haep N, Haghi-Aminjan H, Haghmorad D, Hagins H, Haile D, Hailu A, Hajj Ali A, Halboub ES, Halimi A, Hall BJ, Haller S, Halwani R, Hamadeh RR, Hamdy NM, Hameed S, Hamidi S, Hammoud A, Hanif A, Hanifi N, Haq ZA, Haque MR, Harapan H, Hargono A, Haro JM, Hasaballah AI, Hasan I, Hasan MJ, Hasan SMM, Hasani H, Hasanian M, Hashmeh N, Hasnain MS, Hassan A, Hassan I, Hassan Zadeh Tabatabaei MS, Hassani S, Hassanipour S, Hassankhani H, Haubold J, Havmoeller RJ, Hay SI, Hebert JJ, Hegazi OE, Hegena TY, Heidari G, Heidari M, Helfer B, Hemmati M, Henson CA, Herbert ME, Herteliu C, Heuer A, Hezam K, Hinneh TK, Hiraike Y, Hoan NQ, Holla R, Hon J, Hoque ME, Horita N, Hossain S, Hosseini SE, Hosseinzadeh H, Hosseinzadeh M, Hostiuc M, Hostiuc S, Hoven H, Hsairi M, Hsu JM, Hu C, Huang J, Huda MN, Hulland EN, Hultström M, Hushmandi K, Hussain J, Hussein NR, Huynh CK, Huynh HH, Ibitoye SE, Idowu OO, Ihler AL, Ikeda N, Ikuta KS, Ilesanmi OS, Ilic IM, Ilic MD, Imam MT, Immurana M, Inbaraj LR, Irham LM, Isa MA, Islam MR, Ismail F, Ismail NE, Iso H, Isola G, Iwagami M, Iwu CCD, Iwu-Jaja CJ, J V, Jaafari J, Jacob L, Jacobsen KH, Jadidi-Niaragh F, Jahankhani K, Jahanmehr N, Jahrami H, Jain A, Jain N, Jairoun AA, Jaiswal A, Jakovljevic M, Jalilzadeh Yengejeh R, Jamora RDG, Jatau AI, Javadov S, Javaheri T, Jayaram S, Jeganathan J, Jeswani BM, Jiang H, Johnson CO, Jokar M, Jomehzadeh N, Jonas JB, Joo T, Joseph A, Joseph N, Joshi V, Joshua CE, Jozwiak JJ, Jürisson M, Kaambwa B, Kabir A, Kabir Z, Kadashetti V, Kahn EM, Kalani R, Kaliyadan F, Kalra S, Kamath R, Kanagasabai T, Kanchan T, Kandel H, Kanmiki EW, Kanmodi KK, Kansal SK, Kapner DJ, Kapoor N, Karagiannidis E, Karajizadeh M, Karakasis P, Karanth SD, Karaye IM, Karch A, Karim A, Karimi H, Karmakar S, Kashoo FZ, Kasraei H, Kassahun WD, Kassebaum NJ, Kassel MB, Katikireddi SV, Kauppila JH, Kawakami N, Kaydi N, Kayode GA, Kazemi F, Keiyoro PN, Kemmer L, Kempen JH, Kerr JA, Kesse-Guyot E, Khader YS, Khafaie MA, Khajuria H, Khalaji A, Khalil M, Khalilian A, Khamesipour F, Khan A, Khan MN, Khan M, Khan MJ, Khan MAB, Khanmohammadi S, Khatab K, Khatatbeh H, Khatatbeh MM, Khatib MN, Khavandegar A, Khayat Kashani HR, Khidri FF, Khodadoust E, Khormali M, Khorrami Z, Khosla AA, Khosrowjerdi M, Khreis H, Khusun H, Kifle ZD, Kim K, Kim MS, Kim YJ, Kimokoti RW, Kisa A, Kisa S, Knibbs LD, Knudsen AKS, Koh DSQ, Kolahi AA, Kompani F, Kong J, Koren G, Korja M, Korshunov VA, Korzh O, Kosen S, Kothari N, Koul PA, Koulmane Laxminarayana SL, Krishan K, Krishnamoorthy V, Krishnamoorthy Y, Krishnan B, Krohn KJ, Kuate Defo B, Kucuk Bicer B, Kuddus MA, Kuddus M, Kugbey N, Kuitunen I, Kulimbet M, Kulkarni V, Kumar A, Kumar N, Kumar V, Kundu S, Kurmi OP, Kusnali A, Kusuma D, Kutluk T, La Vecchia C, Ladan MA, Laflamme L, Lahariya C, Lai DTC, Lal DK, Lallukka T, Lám J, Lan Q, Lan T, Landires I, Lanfranchi F, Langguth B, Lansingh VC, Laplante-Lévesque A, Larijani B, Larsson AO, Lasrado S, Lauriola P, Le HH, Le LKD, Le NHH, Le TTT, Leasher JL, Ledda C, Lee M, Lee PH, Lee SW, Lee SWH, Lee YH, LeGrand KE, Leigh J, Leong E, Lerango TL, Lescinsky H, Leung J, Li MC, Li WZ, Li W, Li Y, Li Z, Ligade VS, Lim LL, Lim SS, Lin RT, Lin S, Liu C, Liu G, Liu J, Liu J, Liu RT, Liu S, Liu W, Liu X, Liu X, Livingstone KM, Llanaj E, Lohiya A, López-Bueno R, Lopukhov PD, Lorkowski S, Lotufo PA, Lozano R, Lubinda J, Lucchetti G, Luo L, lv H, M Amin HI, Ma ZF, Maass KL, Mabrok M, Machairas N, Machoy M, Mafhoumi A, Magdy Abd El Razek M, Maghazachi AA, Mahadeshwara Prasad DR, Maharaj SB, Mahmoud MA, Mahmoudi E, Majeed A, Makram OM, Makris KC, Malasala S, Maled V, Malhotra K, Malik AA, Malik I, Malinga LA, Malta DC, Mamun AA, Manda AL, Manla Y, Mansour A, Mansouri B, Mansouri P, Mansourian M, Mansournia MA, Mantovani LG, Manu E, Marateb HR, Maravilla JC, Marsh E, Martinez G, Martinez-Piedra R, Martini S, Martins-Melo FR, Martorell M, Marx W, Maryam S, Mathangasinghe Y, Mathioudakis AG, Matozinhos FP, Mattumpuram J, Maugeri A, Maulik PK, Mayeli M, Mazidi M, Mazzotti A, McGrath JJ, McKee M, McKowen ALW, McLaughlin SA, McPhail MA, McPhail SM, Mechili EA, Mehmood A, Mehmood K, Mehrabani-Zeinabad K, Mehrabi Nasab E, Meier T, Mejia-Rodriguez F, Mekene Meto T, Mekonnen BD, Menezes RG, Mengist B, Mensah GA, Mensah LG, Mentis AFA, Meo SA, Meretoja A, Meretoja TJ, Mersha AM, Mesfin BA, Mestrovic T, Mettananda KCD, Mettananda S, Miazgowski T, Micha G, Michalek IM, Micheletti Gomide Nogueira de Sá AC, Miller TR, Mirarefin M, Mirghafourvand M, Mirica A, Mirijello A, Mirrakhimov EM, Mirshahi A, Mirzaei M, Mishra AK, Mishra V, Mitchell PB, Mithra P, Mittal C, Moazen B, Moberg ME, Mocciaro G, Mohamadkhani A, Mohamed AZ, Mohamed AI, Mohamed J, Mohamed MFH, Mohamed NS, Mohammadi E, Mohammadi S, Mohammadian-Hafshejani A, Mohammadifard N, Mohammed H, Mohammed M, Mohammed S, Mohammed S, Mokdad AH, Monasta L, Mondello S, Moni MA, Moodi Ghalibaf A, Moore CE, Moradi M, Moradi Y, Moraga P, Morawska L, Moreira RS, Morovatdar N, Morrison SD, Morze J, Mosaddeghi Heris R, Mossialos E, Motappa R, Mougin V, Mousavi P, Msherghi A, Mubarik S, Muccioli L, Mueller UO, Mulita F, Mullany EC, Munjal K, Murillo-Zamora E, Murlimanju BV, Musina AM, Mustafa G, Muthu S, Muthupandian S, Muthusamy R, Muzaffar M, Myung W, Nafei A, Nagarajan AJ, Nagaraju SP, Nagel G, Naghavi M, Naghavi P, Naik GR, Naik G, Nainu F, Nair TS, Najdaghi S, Nakhostin Ansari N, Nanavaty DP, Nangia V, Narasimha Swamy S, Narimani Davani D, Nascimento BR, Nascimento GG, Nashwan AJ, Natto ZS, Nauman J, Navaratna SNK, Naveed M, Nayak BP, Nayak VC, Ndejjo R, Nduaguba SO, Negash H, Negoi I, Negoi RI, Nejadghaderi SA, Nejjari C, Nematollahi MH, Nepal S, Neupane S, Ng M, Nguefack-Tsague G, Ngunjiri JW, Nguyen DH, Nguyen NNY, Nguyen PT, Nguyen PT, Nguyen VT, Nguyen Tran Minh D, Niazi RK, Nicholson SI, Nie J, Nikoobar A, Nikpoor AR, Ningrum DNA, Nnaji CA, Noman EA, Nomura S, Noroozi N, Norrving B, Noubiap JJ, Nri-Ezedi CA, Ntaios G, Ntsekhe M, Nunemo MH, Nurrika D, Nutor JJ, Oancea B, O'Connell EM, Odetokun IA, O'Donnell MJ, Oduro MS, Ogunfowokan AA, Ogunkoya A, Oh IH, Okati-Aliabad H, Okeke SR, Okekunle AP, Okonji OC, Olagunju AT, Olasupo OO, Olatubi MI, Oliveira AB, Oliveira GMM, Olorukooba AA, Olufadewa II, Olusanya BO, Olusanya JO, Oluwafemi YD, Omar HA, Omar Bali A, Omer GL, Ong KL, Ong S, Onwujekwe OE, Onyedibe KI, Oppong AF, Ordak M, Orish VN, Ornello R, Orpana HM, Ortiz A, Ortiz-Prado E, Osman WMS, Ostroff SM, Osuagwu UL, Otoiu A, Otstavnov N, Otstavnov SS, Ouyahia A, Owolabi MO, Oyeyemi IT, Oyeyemi OT, P A MP, Pacheco-Barrios K, Padron-Monedero A, Padubidri JR, Pal PK, Palicz T, Pan F, Pan HF, Pana A, Panda SK, Panda-Jonas S, Pandey A, Pandi-Perumal SR, Pangaribuan HU, Pantazopoulos I, Pantea Stoian AM, Papadopoulou P, Parent MC, Parija PP, Parikh RR, Park S, Park S, Parsons N, Pashaei A, Pasovic M, Passera R, Patil S, Patoulias D, Patthipati VS, Paudel U, Pawar S, Pazoki Toroudi H, Peden AE, Pedersini P, Peng M, Pensato U, Pepito VCF, Peprah EK, Peprah P, Peres MFP, Perianayagam A, Perico N, Perna S, Pesudovs K, Petcu IR, Petermann-Rocha FE, Pham HT, Philip AK, Phillips MR, Pickering BV, Pierannunzio D, Pigeolet M, Pigott DM, Piracha ZZ, Piradov MA, Pisoni E, Piyasena MP, Plass D, Plotnikov E, Poddighe D, Polkinghorne KR, Poluru R, Pond CD, Popovic DS, Porru F, Postma MJ, Poudel GR, Pour-Rashidi A, Pourshams A, Pourtaheri N, Prabhu D, Prada SI, Pradhan J, Pradhan PMS, Prasad M, Prates EJS, Purnobasuki H, Purohit BM, Puvvula J, Qasim NH, Qattea I, Qazi AS, Qian G, Qiu S, Rabiee Rad M, Radfar A, Radhakrishnan RA, Radhakrishnan V, Raeisi Shahraki H, Rafferty Q, Rafiei A, Raggi A, Raghav PR, Raheem N, Rahim F, Rahim MJ, Rahimifard M, Rahimi-Movaghar V, Rahman MO, Rahman MA, Rahmani AM, Rahmani B, Rahmanian M, Rahmanian N, Rahmanian V, Rahmati M, Rahmawaty S, Raimondo D, Rajaa S, Rajendran V, Rajput P, Ramadan MM, Ramasamy SK, Ramasubramani P, Ramazanu S, Ramteke PW, Rana J, Rana K, Ranabhat CL, Rane A, Rani U, Ranta A, Rao CR, Rao M, Rao PC, Rao SJ, Rasella D, Rashedi S, Rashedi V, Rashidi M, Rashidi MM, Rasouli-Saravani A, Ratan ZA, Rathnaiah Babu G, Rauniyar SK, Rautalin I, Rawaf DL, Rawaf S, Rawassizadeh R, Razo C, Reda ZFF, Reddy MMRK, Redwan EMM, Reifels L, Reitsma MB, Remuzzi G, Reshmi B, Resnikoff S, Restaino S, Reyes LF, Rezaei M, Rezaei N, Rezaei N, Rezaeian M, Rhee TG, Riaz MA, Ribeiro ALP, Rickard J, Robinson-Oden HE, Rodrigues CF, Rodrigues M, Rodriguez JAB, Roever L, Romadlon DS, Ronfani L, Rosauer JJ, Roshandel G, Rostamian M, Rotimi K, Rout HS, Roy B, Roy N, Rubagotti E, Ruela GDA, Rumisha SF, Runghien T, Russo M, Ruzzante SW, S N C, Saad AMA, Saber K, Saber-Ayad MM, Sabour S, Sacco S, Sachdev PS, Sachdeva R, Saddik B, Saddler A, Sadee BA, Sadeghi E, Sadeghi M, Sadeghi Majd E, Saeb MR, Saeed U, Safari M, Safi S, Safi SZ, Sagar R, Sagoe D, Saheb Sharif-Askari F, Saheb Sharif-Askari N, Sahebkar A, Sahoo SS, Sahu M, Saif Z, Sajid MR, Sakshaug JW, Salam N, Salamati P, Salami AA, Salaroli LB, Salehi L, Salehi S, Salem MR, Salem MZY, Salihu D, Salimi S, Salum GA, Samadi Kafil H, Samadzadeh S, Samodra YL, Samuel VP, Samy AM, Sanabria J, Sanjeev RK, Sanna F, Santomauro DF, Santric-Milicevic MM, Sarasmita MA, Saraswathy SYI, Saravanan A, Saravi B, Sarikhani Y, Sarmiento-Suárez R, Sarode GS, Sarode SC, Sartorius B, Sarveazad A, Sathian B, Sattin D, Sawhney M, Saya GK, Sayeed A, Sayeed MA, Sayyah M, Schinckus C, Schmidt MI, Schuermans A, Schumacher AE, Schutte AE, Schwarzinger M, Schwebel DC, Schwendicke F, Selvaraj S, Semreen MH, Senthilkumaran S, Serban D, Serre ML, Sethi Y, Shafie M, Shah H, Shah NS, Shah PA, Shah SM, Shahbandi A, Shaheen AA, Shahid S, Shahid W, Shahsavari HR, Shahwan MJ, Shaikh MA, Shaikh SZ, Shalash AS, Sham S, Shamim MA, Shams-Beyranvand M, Shamshirgaran MA, Shamsi MA, Shanawaz M, Shankar A, Sharfaei S, Sharifan A, Sharifi-Rad J, Sharma M, Sharma U, Sharma V, Shastry RP, Shavandi A, Shehabeldine AME, Shehzadi S, Sheikh A, Shen J, Shetty A, Shetty BSK, Shetty PH, Shiani A, Shiferaw D, Shigematsu M, Shin MJ, Shiri R, Shittu A, Shiue I, Shivakumar KM, Shivarov V, Shool S, Shorofi SA, Shrestha R, Shrestha S, Shuja KH, Shuval K, Si Y, Siddig EE, Silva DAS, Silva LMLR, Silva S, Silva TPR, Simpson CR, Singh A, Singh BB, Singh B, Singh G, Singh H, Singh JA, Singh M, Singh NP, Singh P, Singh S, Sinto R, Sivakumar S, Siwal SS, Skhvitaridze N, Skou ST, Sleet DA, Sobia F, Soboka M, Socea B, Solaimanian S, Solanki R, Solanki S, Soliman SSM, Somayaji R, Song Y, Sorensen RJD, Soriano JB, Soyiri IN, Spartalis M, Spearman S, Spencer CN, Sreeramareddy CT, Stachteas P, Stafford LK, Stanaway JD, Stanikzai MH, Stein C, Stein DJ, Steinbeis F, Steiner C, Steinke S, Steiropoulos P, Stockfelt L, Stokes MA, Straif K, Stranges S, Subedi N, Subramaniyan V, Suleman M, Suliankatchi Abdulkader R, Sundström J, Sunkersing D, Sunnerhagen KS, Suresh V, Swain CK, Szarpak L, Szeto MD, Tabaee Damavandi P, Tabarés-Seisdedos R, Tabatabaei SM, Tabatabaei Malazy O, Tabatabaeizadeh SA, Tabatabai S, Tabche C, Tabish M, Tadakamadla SK, Taheri Abkenar Y, Taheri Soodejani M, Taherkhani A, Taiba J, Takahashi K, Talaat IM, Tamuzi JL, Tan KK, Tang H, Tat NY, Taveira N, Tefera YM, Tehrani-Banihashemi A, Temesgen WA, Temsah MH, Teramoto M, Terefa DR, Teye-Kwadjo E, Thakur R, Thangaraju P, Thankappan KR, Thapar R, Thayakaran R, Thirunavukkarasu S, Thomas N, Thomas NK, Tian J, Tichopad A, Ticoalu JHV, Tiruye TY, Tobe-Gai R, Tolani MA, Tolossa T, Tonelli M, Topor-Madry R, Topouzis F, Touvier M, Tovani-Palone MR, Trabelsi K, Tran JT, Tran MTN, Tran NM, Trico D, Trihandini I, Troeger CE, Tromans SJ, Truyen TTTT, Tsatsakis A, Tsermpini EE, Tumurkhuu M, Udoakang AJ, Udoh A, Ullah A, Ullah S, Ullah S, Umair M, Umakanthan S, Unim B, Unnikrishnan B, Upadhyay E, Urso D, Usman JS, Vaithinathan AG, Vakili O, Valenti M, Valizadeh R, Van den Eynde J, van Donkelaar A, Varga O, Vart P, Varthya SB, Vasankari TJ, Vasic M, Vaziri S, Venketasubramanian N, Verghese NA, Verma M, Veroux M, Verras GI, Vervoort D, Villafañe JH, Villalobos-Daniel VE, Villani L, Villanueva GI, Vinayak M, Violante FS, Vlassov V, Vo B, Vollset SE, Volovat SR, Vos T, Vujcic IS, Waheed Y, Wang C, Wang F, Wang S, Wang Y, Wang YP, Wanjau MN, Waqas M, Ward P, Waris A, Wassie EG, Weerakoon KG, Weintraub RG, Weiss DJ, Weiss EJ, Weldetinsaa HLL, Wells KM, Wen YF, Wiangkham T, Wickramasinghe ND, Wilkerson C, Willeit P, Wilson S, Wong YJ, Wongsin U, Wozniak S, Wu C, Wu D, Wu F, Wu Z, Xia J, Xiao H, Xu S, Xu X, Xu YY, Yadav MK, Yaghoubi S, Yamagishi K, Yang L, Yano Y, Yaribeygi H, Yasufuku Y, Ye P, Yesodharan R, Yesuf SA, Yezli S, Yi S, Yiğit A, Yigzaw ZA, Yin D, Yip P, Yismaw MB, Yon DK, Yonemoto N, You Y, Younis MZ, Yousefi Z, Yu C, Yu Y, Zadey S, Zadnik V, Zakham F, Zaki N, Zakzuk J, Zamagni G, Zaman SB, Zandieh GGZ, Zanghì A, Zar HJ, Zare I, Zarimeidani F, Zastrozhin MS, Zeng Y, Zhai C, Zhang AL, Zhang H, Zhang L, Zhang M, Zhang Y, Zhang Z, Zhang ZJ, Zhao H, Zhao JT, Zhao XJG, Zhao Y, Zhao Y, Zhong C, Zhou J, Zhou J, Zhou S, Zhu B, Zhu L, Zhu Z, Ziaeian B, Ziafati M, Zielińska M, Zimsen SRM, Zoghi G, Zoller T, Zumla A, Zyoud SH, Zyoud SH, Murray CJL, Gakidou E. Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet 2024; 403:2162-2203. [PMID: 38762324 DOI: 10.1016/s0140-6736(24)00933-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 03/11/2024] [Accepted: 05/02/2024] [Indexed: 05/20/2024]
Abstract
BACKGROUND Understanding the health consequences associated with exposure to risk factors is necessary to inform public health policy and practice. To systematically quantify the contributions of risk factor exposures to specific health outcomes, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 aims to provide comprehensive estimates of exposure levels, relative health risks, and attributable burden of disease for 88 risk factors in 204 countries and territories and 811 subnational locations, from 1990 to 2021. METHODS The GBD 2021 risk factor analysis used data from 54 561 total distinct sources to produce epidemiological estimates for 88 risk factors and their associated health outcomes for a total of 631 risk-outcome pairs. Pairs were included on the basis of data-driven determination of a risk-outcome association. Age-sex-location-year-specific estimates were generated at global, regional, and national levels. Our approach followed the comparative risk assessment framework predicated on a causal web of hierarchically organised, potentially combinative, modifiable risks. Relative risks (RRs) of a given outcome occurring as a function of risk factor exposure were estimated separately for each risk-outcome pair, and summary exposure values (SEVs), representing risk-weighted exposure prevalence, and theoretical minimum risk exposure levels (TMRELs) were estimated for each risk factor. These estimates were used to calculate the population attributable fraction (PAF; ie, the proportional change in health risk that would occur if exposure to a risk factor were reduced to the TMREL). The product of PAFs and disease burden associated with a given outcome, measured in disability-adjusted life-years (DALYs), yielded measures of attributable burden (ie, the proportion of total disease burden attributable to a particular risk factor or combination of risk factors). Adjustments for mediation were applied to account for relationships involving risk factors that act indirectly on outcomes via intermediate risks. Attributable burden estimates were stratified by Socio-demographic Index (SDI) quintile and presented as counts, age-standardised rates, and rankings. To complement estimates of RR and attributable burden, newly developed burden of proof risk function (BPRF) methods were applied to yield supplementary, conservative interpretations of risk-outcome associations based on the consistency of underlying evidence, accounting for unexplained heterogeneity between input data from different studies. Estimates reported represent the mean value across 500 draws from the estimate's distribution, with 95% uncertainty intervals (UIs) calculated as the 2·5th and 97·5th percentile values across the draws. FINDINGS Among the specific risk factors analysed for this study, particulate matter air pollution was the leading contributor to the global disease burden in 2021, contributing 8·0% (95% UI 6·7-9·4) of total DALYs, followed by high systolic blood pressure (SBP; 7·8% [6·4-9·2]), smoking (5·7% [4·7-6·8]), low birthweight and short gestation (5·6% [4·8-6·3]), and high fasting plasma glucose (FPG; 5·4% [4·8-6·0]). For younger demographics (ie, those aged 0-4 years and 5-14 years), risks such as low birthweight and short gestation and unsafe water, sanitation, and handwashing (WaSH) were among the leading risk factors, while for older age groups, metabolic risks such as high SBP, high body-mass index (BMI), high FPG, and high LDL cholesterol had a greater impact. From 2000 to 2021, there was an observable shift in global health challenges, marked by a decline in the number of all-age DALYs broadly attributable to behavioural risks (decrease of 20·7% [13·9-27·7]) and environmental and occupational risks (decrease of 22·0% [15·5-28·8]), coupled with a 49·4% (42·3-56·9) increase in DALYs attributable to metabolic risks, all reflecting ageing populations and changing lifestyles on a global scale. Age-standardised global DALY rates attributable to high BMI and high FPG rose considerably (15·7% [9·9-21·7] for high BMI and 7·9% [3·3-12·9] for high FPG) over this period, with exposure to these risks increasing annually at rates of 1·8% (1·6-1·9) for high BMI and 1·3% (1·1-1·5) for high FPG. By contrast, the global risk-attributable burden and exposure to many other risk factors declined, notably for risks such as child growth failure and unsafe water source, with age-standardised attributable DALYs decreasing by 71·5% (64·4-78·8) for child growth failure and 66·3% (60·2-72·0) for unsafe water source. We separated risk factors into three groups according to trajectory over time: those with a decreasing attributable burden, due largely to declining risk exposure (eg, diet high in trans-fat and household air pollution) but also to proportionally smaller child and youth populations (eg, child and maternal malnutrition); those for which the burden increased moderately in spite of declining risk exposure, due largely to population ageing (eg, smoking); and those for which the burden increased considerably due to both increasing risk exposure and population ageing (eg, ambient particulate matter air pollution, high BMI, high FPG, and high SBP). INTERPRETATION Substantial progress has been made in reducing the global disease burden attributable to a range of risk factors, particularly those related to maternal and child health, WaSH, and household air pollution. Maintaining efforts to minimise the impact of these risk factors, especially in low SDI locations, is necessary to sustain progress. Successes in moderating the smoking-related burden by reducing risk exposure highlight the need to advance policies that reduce exposure to other leading risk factors such as ambient particulate matter air pollution and high SBP. Troubling increases in high FPG, high BMI, and other risk factors related to obesity and metabolic syndrome indicate an urgent need to identify and implement interventions. FUNDING Bill & Melinda Gates Foundation.
Collapse
|
3
|
Carr S, Bryazka D, McLaughlin SA, Zheng P, Bahadursingh S, Aravkin AY, Hay SI, Lawlor HR, Mullany EC, Murray CJL, Nicholson SI, Rehm J, Roth GA, Sorensen RJD, Lewington S, Gakidou E. A burden of proof study on alcohol consumption and ischemic heart disease. Nat Commun 2024; 15:4082. [PMID: 38744810 PMCID: PMC11094064 DOI: 10.1038/s41467-024-47632-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 04/08/2024] [Indexed: 05/16/2024] Open
Abstract
Cohort and case-control data have suggested an association between low to moderate alcohol consumption and decreased risk of ischemic heart disease (IHD), yet results from Mendelian randomization (MR) studies designed to reduce bias have shown either no or a harmful association. Here we conducted an updated systematic review and re-evaluated existing cohort, case-control, and MR data using the burden of proof meta-analytical framework. Cohort and case-control data show low to moderate alcohol consumption is associated with decreased IHD risk - specifically, intake is inversely related to IHD and myocardial infarction morbidity in both sexes and IHD mortality in males - while pooled MR data show no association, confirming that self-reported versus genetically predicted alcohol use data yield conflicting findings about the alcohol-IHD relationship. Our results highlight the need to advance MR methodologies and emulate randomized trials using large observational databases to obtain more definitive answers to this critical public health question.
Collapse
Affiliation(s)
- Sinclair Carr
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
| | - Dana Bryazka
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Susan A McLaughlin
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Peng Zheng
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Sarasvati Bahadursingh
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, Oxfordshire, UK
| | - Aleksandr Y Aravkin
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
- Department of Applied Mathematics, University of Washington, Seattle, WA, USA
| | - Simon I Hay
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Hilary R Lawlor
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Erin C Mullany
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Christopher J L Murray
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Sneha I Nicholson
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Jürgen Rehm
- Institute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Faculty of Medicine, Institute of Medical Science (IMS), University of Toronto, Toronto, ON, Canada
- World Health Organization / Pan American Health Organization Collaborating Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Center for Interdisciplinary Addiction Research (ZIS), Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
- Institute of Clinical Psychology and Psychotherapy, Technische Universität Dresden, Dresden, Germany
| | - Gregory A Roth
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
- Division of Cardiology, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Reed J D Sorensen
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Sarah Lewington
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, Oxfordshire, UK
| | - Emmanuela Gakidou
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| |
Collapse
|
4
|
Agarwal A, Tromp J, Almahmeed W, Angermann C, Chandramouli C, Cho H, Choi DJ, Damasceno A, Filippatos G, Fonarow GC, Harikrishnan S, Lund L, Masoudi F, Mensah GA, Pathan A, Perel P, Pinto F, Ribeiro AL, Rich S, Sakata Y, Sliwa K, Sundstrom J, Wong R, Yancy C, Yiu K, Zhang J, Zhang Y, Lam CSP, Roth GA. Toward a Universal Definition of Etiologies in Heart Failure: Categorizing Causes and Advancing Registry Science. Circ Heart Fail 2024; 17:e011095. [PMID: 38626067 PMCID: PMC11027941 DOI: 10.1161/circheartfailure.123.011095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 02/26/2024] [Indexed: 04/18/2024]
Abstract
Heart failure (HF) is a well-described final common pathway for a broad range of diseases however substantial confusion exists regarding how to describe, study, and track these underlying etiologic conditions. We describe (1) the overlap in HF etiologies, comorbidities, and case definitions as currently used in HF registries led or managed by members of the global HF roundtable; (2) strategies to improve the quality of evidence on etiologies and modifiable risk factors of HF in registries; and (3) opportunities to use clinical HF registries as a platform for public health surveillance, implementation research, and randomized registry trials to reduce the global burden of noncommunicable diseases. Investment and collaboration among countries to improve the quality of evidence in global HF registries could contribute to achieving global health targets to reduce noncommunicable diseases and overall improvements in population health.
Collapse
Affiliation(s)
- Anubha Agarwal
- Washington University in St. Louis School of Medicine, MO (A.A.)
| | - Jasper Tromp
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System (J.T.)
| | - Wael Almahmeed
- Heart and Vascular Institute, Cleveland Clinic, Abu Dhabi, United Arab Emirates (W.A.)
| | - Christiane Angermann
- Comprehensive Heart Failure Center, University Hospital Wuerzburg, Germany (C.A.)
| | | | - Hyunjai Cho
- Seoul National University Hospital, Korea (H.C., D.-J.C.)
| | - Don-Ju Choi
- Seoul National University Hospital, Korea (H.C., D.-J.C.)
| | | | - Gerasimos Filippatos
- University of Cyprus, School of Medicine and National and Kapodistrian University of Athens, School of Medicine, Department of Cardiology, Attikon University Hospital, Greece (G.F.)
| | | | | | - Lars Lund
- Karolinska University Hospital, Stockholm, Sweden (L.L.)
| | - Fred Masoudi
- University of Colorado School of Medicine at the Anschutz Medical Campus, Aurora (F.M.)
| | - George A Mensah
- Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (G.A.M.)
| | - Asad Pathan
- Tabba Heart Institute Karachi, Pakistan (A.P.)
| | - Pablo Perel
- London School of Hygiene and Tropical Medicine, United Kingdom (P.P.)
| | - Fausto Pinto
- Santa Maria University Hospital, University of Lisbon, Portugal (F.P.)
| | - Antonio Luiz Ribeiro
- Hospital das Clinicas and School of Medicine, Unversidade Federal de Minas Gerais, Belo Horizonte, Brazil (A.L.R.)
| | - Stuart Rich
- Northwestern University Feinberg School of Medicine, Chicago, IL (S.R., C.Y.)
| | - Yasuhiko Sakata
- Tohoku University Graduate School of Medicine, Sendai, Japan (Y.S.)
- National Cerebral and Cardiovascular Center, Suita, Japan (Y.S.)
| | - Karen Sliwa
- University of Cape Town, South Africa (K.S.)
| | | | - Renee Wong
- Heart Failure and Arrhythmias Branch, Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (R.W.)
| | - Clyde Yancy
- Northwestern University Feinberg School of Medicine, Chicago, IL (S.R., C.Y.)
| | - Kelvin Yiu
- Institute of Cardiovascular Science and Medicine, Hong Kong University, Hong Kong and Department of Medicine, University of Hong Kong-Shenzhen Hospital, China (K.Y.)
| | - Jian Zhang
- Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (J.Z., Y.Z.)
| | - Yuhui Zhang
- Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (J.Z., Y.Z.)
| | - Carolyn S P Lam
- National Heart Centre Singapore, Singapore (C.S.P.L.)
- Duke-NUS Medical School, Singapore and University Medical Centre Groningen, the Netherlands (C.S.P.L.)
| | | |
Collapse
|
5
|
Renedo D, Acosta JN, Leasure AC, Sharma R, Krumholz HM, de Havenon A, Alahdab F, Aravkin AY, Aryan Z, Bärnighausen TW, Basu S, Burkart K, Coberly K, Criqui MH, Dai X, Desai R, Dharmaratne SD, Doshi R, Elgendy IY, Feigin VL, Filip I, Gad MM, Ghozy S, Hafezi-Nejad N, Kalani R, Karaye IM, Kisa A, Krishnamoorthy V, Lo W, Mestrovic T, Miller TR, Misganaw A, Mokdad AH, Murray CJL, Natto ZS, Radfar A, Ram P, Roth GA, Seylani A, Shah NS, Sharma P, Sheikh A, Singh JA, Song S, Sotoudeh H, Vervoort D, Wang C, Xiao H, Xu S, Zand R, Falcone GJ, Sheth KN. Burden of Ischemic and Hemorrhagic Stroke Across the US From 1990 to 2019. JAMA Neurol 2024; 81:2815830. [PMID: 38436973 PMCID: PMC10913004 DOI: 10.1001/jamaneurol.2024.0190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 01/18/2024] [Indexed: 03/05/2024]
Abstract
Importance Stroke is a leading cause of death and disability in the US. Accurate and updated measures of stroke burden are needed to guide public health policies. Objective To present burden estimates of ischemic and hemorrhagic stroke in the US in 2019 and describe trends from 1990 to 2019 by age, sex, and geographic location. Design, Setting, and Participants An in-depth cross-sectional analysis of the 2019 Global Burden of Disease study was conducted. The setting included the time period of 1990 to 2019 in the US. The study encompassed estimates for various types of strokes, including all strokes, ischemic strokes, intracerebral hemorrhages (ICHs), and subarachnoid hemorrhages (SAHs). The 2019 Global Burden of Disease results were released on October 20, 2020. Exposures In this study, no particular exposure was specifically targeted. Main Outcomes and Measures The primary focus of this analysis centered on both overall and age-standardized estimates, stroke incidence, prevalence, mortality, and DALYs per 100 000 individuals. Results In 2019, the US recorded 7.09 million prevalent strokes (4.07 million women [57.4%]; 3.02 million men [42.6%]), with 5.87 million being ischemic strokes (82.7%). Prevalence also included 0.66 million ICHs and 0.85 million SAHs. Although the absolute numbers of stroke cases, mortality, and DALYs surged from 1990 to 2019, the age-standardized rates either declined or remained steady. Notably, hemorrhagic strokes manifested a substantial increase, especially in mortality, compared with ischemic strokes (incidence of ischemic stroke increased by 13% [95% uncertainty interval (UI), 14.2%-11.9%]; incidence of ICH increased by 39.8% [95% UI, 38.9%-39.7%]; incidence of SAH increased by 50.9% [95% UI, 49.2%-52.6%]). The downturn in stroke mortality plateaued in the recent decade. There was a discernible heterogeneity in stroke burden trends, with older adults (50-74 years) experiencing a decrease in incidence in coastal areas (decreases up to 3.9% in Vermont), in contrast to an uptick observed in younger demographics (15-49 years) in the South and Midwest US (with increases up to 8.4% in Minnesota). Conclusions and Relevance In this cross-sectional study, the declining age-standardized stroke rates over the past 3 decades suggest progress in managing stroke-related outcomes. However, the increasing absolute burden of stroke, coupled with a notable rise in hemorrhagic stroke, suggests an evolving and substantial public health challenge in the US. Moreover, the significant disparities in stroke burden trends across different age groups and geographic locations underscore the necessity for region- and demography-specific interventions and policies to effectively mitigate the multifaceted and escalating burden of stroke in the country.
Collapse
Affiliation(s)
- Daniela Renedo
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut
- Department of Neurosurgery, Yale School of Medicine, New Haven, Connecticut
| | - Julian N. Acosta
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut
| | - Audrey C. Leasure
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut
| | - Richa Sharma
- Yale Center for Brain & Mind Health, Yale School of Medicine, New Haven, Connecticut
| | - Harlan M. Krumholz
- Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
- Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut
| | - Adam de Havenon
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut
| | - Fares Alahdab
- Evidence-Based Practice Center, Mayo Clinic Foundation for Medical Education and Research, Rochester, Minnesota
| | - Aleksandr Y. Aravkin
- Department of Applied Mathematics, University of Washington, Seattle
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
| | - Zahra Aryan
- Brigham and Women’s Hospital, Harvard University, Boston, Massachusetts
- Non-communicable Diseases Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Till Winfried Bärnighausen
- Heidelberg Institute of Global Health (HIGH), Heidelberg University, Heidelberg, Germany
- T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Sanjay Basu
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Department of General Internal Medicine, San Francisco General Hospital, San Francisco, California
| | - Katrin Burkart
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
| | - Kaleb Coberly
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Michael H. Criqui
- Department of Family Medicine and Public Health, University of California San Diego, La Jolla
| | - Xiaochen Dai
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
| | - Rupak Desai
- Division of Cardiology, Atlanta Veterans Affairs Medical Center, Decatur, Georgia
| | - Samath Dhamminda Dharmaratne
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
- Department of Community Medicine, University of Peradeniya, Peradeniya, Sri Lanka
| | - Rajkumar Doshi
- Department of Cardiology, St. Joseph’s University Medical Center, Paterson, New Jersey
| | - Islam Y. Elgendy
- Division of Cardiovascular Medicine, Gill Heart Institute, University of Kentucky, Lexington
- National Institute for Stroke and Applied Neurosciences, Auckland University of Technology, Auckland, New Zealand
| | - Valery L. Feigin
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- National Institute for Stroke and Applied Neurosciences, Auckland University of Technology, Auckland, New Zealand
- Research Center of Neurology, Moscow, Russia
| | - Irina Filip
- Avicenna Medical and Clinical Research Institute, Oak Lawn, Illinois
| | - Mohamed M. Gad
- Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, Ohio
- Gillings School of Global Public Health, University of North Carolina Chapel Hill, Chapel Hill
| | - Sherief Ghozy
- Department of Radiology, Mayo Clinic, Rochester, Minnesota
| | - Nima Hafezi-Nejad
- Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, Maryland
| | - Rizwan Kalani
- Department of Neurology, University of Washington, Seattle
| | - Ibraheem M. Karaye
- School of Health Professions and Human Services, Hofstra University, Hempstead, New York
- Department of Anesthesiology, Montefiore Medical Center, Bronx, New York
| | - Adnan Kisa
- School of Health Sciences, Kristiania University College, Oslo, Norway
- Department of International Health and Sustainability, Tulane University, New Orleans, Louisiana
| | - Vijay Krishnamoorthy
- Department of Anesthesiology, Duke University, Durham, North Carolina
- Department of Anesthesiology & Pain Medicine, University of Washington, Seattle
| | - Warren Lo
- Department of Pediatrics, Ohio State University, Columbus
- Department of Neurology, Nationwide Children’s Hospital, Columbus, Ohio
| | - Tomislav Mestrovic
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- University Centre Varazdin, University North, Varazdin, Croatia
| | - Ted R. Miller
- Pacific Institute for Research & Evaluation, Calverton, Maryland
- School of Public Health, Curtin University, Perth, Western Australia, Australia
| | - Awoke Misganaw
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
- School of Public Health, College of Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia
| | - Ali H. Mokdad
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
| | - Christopher J. L. Murray
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
| | - Zuhair S. Natto
- Department of Dental Public Health, King Abdulaziz University, Jeddah, Saudi Arabia
- Department of Health Policy and Oral Epidemiology, Harvard University, Boston, Massachusetts
| | - Amir Radfar
- College of Medicine, University of Central Florida, Orlando
| | - Pradhum Ram
- Division of Cardiology, UPMC Western Maryland, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Gregory A. Roth
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
- Division of Cardiology, University of Washington, Seattle
| | - Allen Seylani
- National Heart, Lung, and Blood Institute, National Institute of Health, Rockville, Maryland
| | - Nilay S. Shah
- Department of Medicine (Cardiology), Northwestern University, Chicago, Illinois
| | - Purva Sharma
- Department of Medical Oncology, Kent Hospital, Warwick, Rhode Island
| | - Aziz Sheikh
- Usher Institute, University of Edinburgh, United Kingdom
| | - Jasvinder A. Singh
- School of Medicine, University of Alabama at Birmingham, Birmingham
- Medicine Service, US Department of Veterans Affairs (VA), Birmingham, Alabama
| | - Suhang Song
- Department of Health Policy and Management, University of Georgia College of Public Health, Athens
| | - Houman Sotoudeh
- Department of Radiology, University of Alabama at Birmingham, Birmingham
| | - Dominique Vervoort
- Department of Health Policy and Management, Johns Hopkins University, Baltimore, Maryland
| | - Cong Wang
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Hong Xiao
- Department of Public Health Science, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Suowen Xu
- Department of Endocrinology, University of Science and Technology of China, Hefei, China
- Max-Planck-Institute for Heart and Lung Research, Bad Nauheim, Germany
| | - Ramin Zand
- Department of Neurology, Pennsylvania State University College of Medicine, Hershey
| | - Guido J. Falcone
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut
- Yale Center for Brain & Mind Health, Yale School of Medicine, New Haven, Connecticut
| | - Kevin N. Sheth
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut
- Department of Neurosurgery, Yale School of Medicine, New Haven, Connecticut
- Yale Center for Brain & Mind Health, Yale School of Medicine, New Haven, Connecticut
| |
Collapse
|
6
|
Martin SS, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Barone Gibbs B, Beaton AZ, Boehme AK, Commodore-Mensah Y, Currie ME, Elkind MSV, Evenson KR, Generoso G, Heard DG, Hiremath S, Johansen MC, Kalani R, Kazi DS, Ko D, Liu J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Perman SM, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Tsao CW, Urbut SM, Van Spall HGC, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Palaniappan LP. 2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association. Circulation 2024; 149:e347-e913. [PMID: 38264914 DOI: 10.1161/cir.0000000000001209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2024]
Abstract
BACKGROUND The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
Collapse
|
7
|
Ribeiro ALP, Machado Í, Cousin E, Perel P, Demacq C, Geissbühler Y, de Souza A, Liprandi AS, Nascimento BR, França EF, Martins-Melo FR, Roth GA, Molina I, Noronha K, Ishitani L, Carneiro M, Quijano M, Andrade MV, Naghavi M, Mosser JF, Piñeiro DJ. The Burden of Chagas Disease in the Contemporary World: The RAISE Study. Glob Heart 2024; 19:2. [PMID: 38222097 PMCID: PMC10785959 DOI: 10.5334/gh.1280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 11/21/2023] [Indexed: 01/16/2024] Open
Abstract
Chagas disease (ChD), a Neglected Tropical Disease, has witnessed a transformative epidemiological landscape characterized by a trend of reduction in prevalence, shifting modes of transmission, urbanization, and globalization. Historically a vector-borne disease in rural areas of Latin America, effective control measures have reduced the incidence in many countries, leading to a demographic shift where most affected individuals are now adults. However, challenges persist in regions like the Gran Chaco, and emerging oral transmission in the Amazon basin adds complexity. Urbanization and migration from rural to urban areas and to non-endemic countries, especially in Europe and the US, have redefined the disease's reach. These changing patterns contribute to uncertainties in estimating ChD prevalence, exacerbated by the lack of recent data, scarcity of surveys, and reliance on outdated models. Besides, ChD's lifelong natural history, marked by acute and chronic phases, introduces complexities in diagnosis, particularly in non-endemic regions where healthcare provider awareness is low. The temporal dissociation of infection and clinical manifestations, coupled with underreporting, has rendered ChD invisible in health statistics. Deaths attributed to ChD cardiomyopathy often go unrecognized, camouflaged under alternative causes. Understanding these challenges, the RAISE project aims to reassess the burden of ChD and ChD cardiomyopathy. The project is a collaborative effort of the World Heart Federation, Novartis Global Health, the University of Washington's Institute for Health Metrics and Evaluation, and a team of specialists coordinated by Brazil's Federal University of Minas Gerais. Employing a multidimensional strategy, the project seeks to refine estimates of ChD-related deaths, conduct systematic reviews on seroprevalence and prevalence of clinical forms, enhance existing modeling frameworks, and calculate the global economic burden, considering healthcare expenditures and service access. The RAISE project aspires to bridge knowledge gaps, raise awareness, and inform evidence-based health policies and research initiatives, positioning ChD prominently on the global health agenda.
Collapse
Affiliation(s)
- Antonio Luiz Pinho Ribeiro
- Hospital das Clínicas da Universidade Federal de Minas Gerais, Av. Prof. Alfredo Balena, 110 –Santa Efigênia, Belo Horizonte –MG, 30130-100, BR
| | | | - Ísis Machado
- Department of Family Medicine, Mental and Collective Health, Universidade Federal de Ouro Preto, Ouro Preto, Brazil
| | - Ewerton Cousin
- Institute for Health Metrics and Evaluation (IHME), University of Washington, Seattle, United States of America
| | - Pablo Perel
- World Heart Federation, Geneva, Switzerland
- Department of Non-communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | | | | | - Aline de Souza
- Department of Economics, Faculty of Economic Sciences, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | | | - Bruno R. Nascimento
- Hospital das Clínicas da Universidade Federal de Minas Gerais, Av. Prof. Alfredo Balena, 110 –Santa Efigênia, Belo Horizonte –MG, 30130-100, BR
| | - Elisabeth F. França
- Postgraduate Program in Public Health, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | | | - Gregory A. Roth
- Institute for Health Metrics and Evaluation (IHME), University of Washington, Seattle, United States of America
- Department of Medicine, University of Washington, Seattle, United States of America
| | - Israel Molina
- International Health Unit Vall d’Hebron-Drassanes, Infectious Diseases Department, Vall d’Hebron University Hospital, Barcelona, Spain
| | - Kenya Noronha
- Department of Economics, Faculty of Economic Sciences, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Lenice Ishitani
- Epidemiological Surveillance Division, Belo Horizonte Municipal Health Department Belo Horizonte, Brazil
| | - Mariângela Carneiro
- Department of Parasitology, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | | | - Monica V. Andrade
- Department of Economics, Faculty of Economic Sciences, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Mohsen Naghavi
- Institute for Health Metrics and Evaluation (IHME), University of Washington, Seattle, United States of America
| | - Jonathan F. Mosser
- Institute for Health Metrics and Evaluation (IHME), University of Washington, Seattle, United States of America
| | - Daniel J. Piñeiro
- World Heart Federation, Geneva, Switzerland
- Cardiology Department, Universidad de Buenos Aires, Buenos Aires, Argentina
| |
Collapse
|
8
|
Affiliation(s)
- George A Mensah
- Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Valentin Fuster
- Mount Sinai Heart, Icahn School of Medicine at Mount Sinai, New York, New York, USA; Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
| | - Christopher J L Murray
- Department of Health Metrics Sciences, Institute for Health Metrics and Evaluation, School of Medicine, University of Washington, Seattle, Washington, USA
| | - Gregory A Roth
- Department of Health Metrics Sciences, Institute for Health Metrics and Evaluation, School of Medicine, University of Washington, Seattle, Washington, USA; Division of Cardiology, Department of Medicine, University of Washington, Seattle, Washington, USA.
| |
Collapse
|
9
|
Mensah GA, Fuster V, Roth GA. A Heart-Healthy and Stroke-Free World: Using Data to Inform Global Action. J Am Coll Cardiol 2023; 82:2343-2349. [PMID: 38092508 DOI: 10.1016/j.jacc.2023.11.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Affiliation(s)
- George A Mensah
- Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.
| | - Valentin Fuster
- Mount Sinai Heart, Icahn School of Medicine at Mount Sinai, New York, New York, USA; Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
| | - Gregory A Roth
- Department of Health Metrics Sciences, Institute for Health Metrics and Evaluation, School of Medicine, University of Washington, Seattle, Washington, USA; Division of Cardiology, Department of Medicine, University of Washington, Seattle, Washington, USA
| |
Collapse
|
10
|
Yogeswaran V, Hidano D, Diaz AE, Van Spall HGC, Mamas MA, Roth GA, Cheng RK. Regional variations in heart failure: a global perspective. Heart 2023; 110:11-18. [PMID: 37353316 DOI: 10.1136/heartjnl-2022-321295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Accepted: 06/06/2023] [Indexed: 06/25/2023] Open
Abstract
Heart failure (HF) is a global public health concern that affects millions of people worldwide. While there have been significant therapeutic advancements in HF over the last few decades, there remain major disparities in risk factors, treatment patterns and outcomes across race, ethnicity, socioeconomic status, country and region. Recent research has provided insight into many of these disparities, but there remain large gaps in our understanding of worldwide variations in HF care. Although the majority of the global population resides across Asia, Africa and South America, these regions remain poorly represented in epidemiological studies and HF trials. Recent efforts and registries have provided insight into the clinical profiles and outcomes across HF patterns globally. The prevalence of HF and associated risk factors has been reported and varies by country and region ranges, with minimal data on regional variations in treatment patterns and long-term outcomes. It is critical to improve our understanding of the different factors that contribute to global disparities in HF care so we can build interventions that improve our general cardiovascular health and mitigate the social and economic cost of HF. In this narrative review, we hope to provide an overview of the global and regional variations in HF care and outcomes.
Collapse
Affiliation(s)
| | - Danelle Hidano
- Division of Cardiology, University of Washington, Seattle, Washington, USA
| | - Andrea E Diaz
- Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Harriette G C Van Spall
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Mamas A Mamas
- Keele Cardiovascular Research Group, Keele University, Newcastle, UK
| | - Gregory A Roth
- Division of Cardiology, University of Washington, Seattle, Washington, USA
| | - Richard K Cheng
- Division of Cardiology, University of Washington, Seattle, Washington, USA
| |
Collapse
|
11
|
Gerhardt T, Gerhardt LMS, Ouwerkerk W, Roth GA, Dickstein K, Collins SP, Cleland JGF, Dahlstrom U, Tay WT, Ertl G, Hassanein M, Perrone SV, Ghadanfar M, Schweizer A, Obergfell A, Filippatos G, Lam CSP, Tromp J, Angermann CE. Multimorbidity in patients with acute heart failure across world regions and country income levels (REPORT-HF): a prospective, multicentre, global cohort study. Lancet Glob Health 2023; 11:e1874-e1884. [PMID: 37973338 DOI: 10.1016/s2214-109x(23)00408-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 08/07/2023] [Accepted: 08/16/2023] [Indexed: 11/19/2023]
Abstract
BACKGROUND Multimorbidity (two or more comorbidities) is common among patients with acute heart failure, but comprehensive global information on its prevalence and clinical consequences across different world regions and income levels is scarce. This study aimed to investigate the prevalence of multimorbidity and its effect on pharmacotherapy and prognosis in participants of the REPORT-HF study. METHODS REPORT-HF was a prospective, multicentre, global cohort study that enrolled adults (aged ≥18 years) admitted to hospital with a primary diagnosis of acute heart failure from 358 hospitals in 44 countries on six continents. Patients who currently or recently participated in a clinical treatment trial were excluded. Follow-up data were collected at 1-year post-discharge. The primary outcome was 1-year post-discharge mortality. All patients in the REPORT-HF cohort with full data on comorbidities were eligible for the present study. We stratified patients according to the number of comorbidities, and countries by world region and country income level. We used one-way ANOVA, χ2 test, or Mann-Whitney U test for comparisons between groups, as applicable, and Cox regression to analyse the association between multimorbidity and 1-year mortality. FINDINGS Between July 23, 2014, and March 24, 2017, 18 553 patients were included in the REPORT-HF study. Of these, 18 528 patients had full data on comorbidities, of whom 11 360 (61%) were men and 7168 (39%) were women. Prevalence rates of multimorbidity were lowest in southeast Asia (72%) and highest in North America (92%). Fewer patients from lower-middle-income countries had multimorbidity than patients from high-income countries (73% vs 85%, p<0·0001). With increasing comorbidity burden, patients received fewer guideline-directed heart failure medications, yet more drugs potentially causing or worsening heart failure. Having more comorbidities was associated with worse outcomes: 1-year mortality increased from 13% (no comorbidities) to 26% (five or more comorbidities). This finding was independent of common baseline risk factors, including age and sex. The population-attributable fraction of multimorbidity for mortality was higher in high-income countries than in upper-middle-income or lower-middle-income countries (for patients with five or more comorbidities: 61% vs 27% and 31%, respectively). INTERPRETATION Multimorbidity is highly prevalent among patients with acute heart failure across world regions, especially in high-income countries, and is associated with higher mortality, less prescription of guideline-directed heart failure pharmacotherapy, and increased use of potentially harmful medications. FUNDING Novartis Pharma. TRANSLATIONS For the Arabic, French, German, Hindi, Mandarin, Russian and Spanish translations of the abstract see Supplementary Materials section.
Collapse
Affiliation(s)
- Teresa Gerhardt
- Cardiovascular Research Institute and the Department of Medicine, Cardiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Cardiology, Angiology and Intensive Care Medicine, Deutsches Herzzentrum der Charité, Berlin, Germany; Berlin Institute of Health, Berlin, Germany; DZHK German Centre for Cardiovascular Research, Partner Site Berlin, Berlin, Germany
| | - Louisa M S Gerhardt
- Fifth Department of Medicine, University Medical Centre Mannheim, University of Heidelberg, Mannheim, Germany
| | - Wouter Ouwerkerk
- National Heart Centre Singapore, Singapore; Department of Dermatology, University of Amsterdam Medical Centre, Amsterdam, Netherlands
| | - Gregory A Roth
- Division of Cardiology, Department of Medicine and Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Kenneth Dickstein
- University of Bergen, Stavanger University Hospital, Stavanger, Norway
| | - Sean P Collins
- Vanderbilt University Medical Center, Department of Emergency Medicine, Nashville, TN, USA; Veterans Affairs Tennessee Valley Healthcare System, Geriatric Research, Education and Clinical Center, Nashville, TN, USA
| | - John G F Cleland
- Robertson Centre for Biostatistics and Clinical Trials, Institute of Health & Well-Being, University of Glasgow, Glasgow, UK; National Heart and Lung Institute, Imperial College London, London, UK
| | - Ulf Dahlstrom
- Department of Cardiology, Linkoping University, Linkoping, Sweden; Department of Health, Medicine and Caring Sciences, Linkoping University, Linkoping, Sweden
| | | | - Georg Ertl
- Comprehensive Heart Failure Center Würzburg, University and University Hospital Würzburg, Würzburg, Germany; Department of Medicine 1, University Hospital Würzburg, Würzburg, Germany
| | - Mahmoud Hassanein
- Alexandria University, Faculty of Medicine, Cardiology Department, Alexandria, Egypt
| | - Sergio V Perrone
- FLENI Institute, Argentine Institute of Diagnosis and Treatment, Hospital El Cruce de Florencio Barela, Universidad Catolica Argentina, Buenos Aires, Argentina
| | | | | | | | - Gerasimos Filippatos
- School of Medicine, University of Cyprus, Nicosia, Cyprus; School of Medicine, Department of Cardiology, Attikon University Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Carolyn S P Lam
- National Heart Centre Singapore, Singapore; Duke-National University of Singapore Medical School, Singapore; University Medical Centre Groningen, University of Groningen Department of Cardiology, Groningen, Netherlands
| | - Jasper Tromp
- Duke-National University of Singapore Medical School, Singapore; Saw Swee Hock School of Public Health, National University of Singapore and the National University Health System, Singapore
| | - Christiane E Angermann
- Comprehensive Heart Failure Center Würzburg, University and University Hospital Würzburg, Würzburg, Germany; Department of Medicine 1, University Hospital Würzburg, Würzburg, Germany.
| |
Collapse
|
12
|
Fleszar LG, Johnson CO, Roth GA. US Trends in Maternal Mortality by Racial and Ethnic Group-Reply. JAMA 2023; 330:1800-1801. [PMID: 37962656 DOI: 10.1001/jama.2023.17550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Affiliation(s)
- Laura G Fleszar
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Catherine O Johnson
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Gregory A Roth
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| |
Collapse
|
13
|
Kim MS, Hwang J, Yon DK, Lee SW, Jung SY, Park S, Johnson CO, Stark BA, Razo C, Abbasian M, Abbastabar H, Abhari AP, Aboyans V, Adane DEA, Adebayo OM, Alahdab F, Almustanyir S, Aly H, Ameyaw EK, Anderson JA, Andrei CL, Aryan Z, Aujayeb A, Bagherieh S, Baltatu OC, Banach M, Bayileyegn NS, Bearne LM, Behnoush AH, Bensenor IM, Bhaskar S, Bhat AN, Bhat V, Bikbov B, Bintoro BS, Burkart K, Cámera LA, Catapano AL, Chandrasekar EK, Charan J, Chattu VK, Chi G, Chukwu IS, Chung SC, Cirillo M, Coberly K, Costa VM, Dadras O, Dai X, Do TC, Doshi R, Ekholuenetale M, Elgendy IY, Elhadi M, Fagbamigbe AF, Feizkhah A, Fekadu G, Gill PS, Goldust M, Golechha M, Guan SY, Gupta VK, Hadei M, Hadi NR, Hammoud A, Hankey GJ, Harlianto NI, Hasaballah AI, Hassan S, Hassen MB, Heidari G, Hostiuc M, Ilesanmi OS, Iwagami M, Jokar M, Jonas JB, Joshua CE, Jozwiak JJ, Kazemian S, Keykhaei M, Khalaji A, Khan MAB, Khateri S, Kibret BG, Korzh O, Koulmane Laxminarayana SL, Krishan K, Kumar A, Kumar M, Kuttikkattu A, Laksono T, Larijani B, Le TTT, Lim SS, Liu X, Lorkowski S, Magdy Abd El Razek H, Malhotra K, Manla Y, Maugeri A, Mentis AFA, Mestrovic T, Micheletti Gomide Nogueira de Sá AC, Mirica A, Mirrakhimov EM, Misganaw A, Mishra M, Mohammad Y, Mokdad AH, Moni MA, Montasir AA, Moradi Y, Moraga P, Morovatdar N, Mousavi-Aghdas SA, Murray CJL, Naghavi M, Nair TS, Nassereldine H, Natto ZS, Nguyen DH, Nguyen HQ, Nguyen VT, Noubiap JJ, Oancea B, Oliveira GMM, Owolabi MO, Padron-Monedero A, Perico N, Petcu IR, Radfar A, Rafferty Q, Rahman M, Rahman MA, Ram P, Rashedi S, Rashid AM, Rawaf S, Remuzzi G, Renzaho AMN, Rezaee M, Roever L, Saad AMA, Saadatagah S, Sadeghi M, Sahebkar A, Saleh MA, Samy AM, Santric-Milicevic MM, Sepanlou SG, Seylani A, Sharfaei S, Shorofi SA, Singh JA, Singh P, Spartalis M, Sundström J, Tan KK, Teramoto M, Tharwat S, Tyrovolas S, Valadan Tahbaz S, Van den Eynde J, Vart P, Wang C, Wang F, Westerman R, Xia J, Xu S, Yada DY, Yamagishi K, Yonemoto N, Zahir M, Zangiabadian M, Zarrintan A, Zastrozhin MS, Zastrozhina A, Zoladl M, Hay SI, Shin JI, Roth GA. Global burden of peripheral artery disease and its risk factors, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Glob Health 2023; 11:e1553-e1565. [PMID: 37734799 PMCID: PMC10522777 DOI: 10.1016/s2214-109x(23)00355-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Revised: 07/11/2023] [Accepted: 07/17/2023] [Indexed: 09/23/2023]
Abstract
BACKGROUND Peripheral artery disease is a growing public health problem. We aimed to estimate the global disease burden of peripheral artery disease, its risk factors, and temporospatial trends to inform policy and public measures. METHODS Data on peripheral artery disease were modelled using the Global Burden of Disease, Injuries, and Risk Factors Study (GBD) 2019 database. Prevalence, disability-adjusted life years (DALYs), and mortality estimates of peripheral artery disease were extracted from GBD 2019. Total DALYs and age-standardised DALY rate of peripheral artery disease attributed to modifiable risk factors were also assessed. FINDINGS In 2019, the number of people aged 40 years and older with peripheral artery disease was 113 million (95% uncertainty interval [UI] 99·2-128·4), with a global prevalence of 1·52% (95% UI 1·33-1·72), of which 42·6% was in countries with low to middle Socio-demographic Index (SDI). The global prevalence of peripheral artery disease was higher in older people, (14·91% [12·41-17·87] in those aged 80-84 years), and was generally higher in females than in males. Globally, the total number of DALYs attributable to modifiable risk factors in 2019 accounted for 69·4% (64·2-74·3) of total peripheral artery disease DALYs. The prevalence of peripheral artery disease was highest in countries with high SDI and lowest in countries with low SDI, whereas DALY and mortality rates showed U-shaped curves, with the highest burden in the high and low SDI quintiles. INTERPRETATION The total number of people with peripheral artery disease has increased globally from 1990 to 2019. Despite the lower prevalence of peripheral artery disease in males and low-income countries, these groups showed similar DALY rates to females and higher-income countries, highlighting disproportionate burden in these groups. Modifiable risk factors were responsible for around 70% of the global peripheral artery disease burden. Public measures could mitigate the burden of peripheral artery disease by modifying risk factors. FUNDING Bill & Melinda Gates Foundation.
Collapse
|
14
|
Sadeghi M, Jamalian M, Mehrabani-Zeinabad K, Turk-Adawi K, Kopec J, AlMahmeed W, Abdul Rahim HF, Farhan HA, Anwar W, Manla Y, Fadhil I, Lui M, Roohafza H, Islam SMS, Sulaiman K, Bazargani N, Saade G, Hassen N, Alandejani A, Abdin A, Bokhari S, Roth GA, Johnson C, Stark B, Sarrafzadegan N, Mokdad AH. The burden of ischemic heart disease and the epidemiologic transition in the Eastern Mediterranean Region: 1990-2019. PLoS One 2023; 18:e0290286. [PMID: 37669274 PMCID: PMC10479892 DOI: 10.1371/journal.pone.0290286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Accepted: 08/05/2023] [Indexed: 09/07/2023] Open
Abstract
It has been estimated that in the next decade, IHD prevalence, DALYs and deaths will increase more significantly in EMR than in any other region of the world. This study aims to provide a comprehensive description of the trends in the burden of ischemic heart disease (IHD) across the countries of the Eastern Mediterranean Region (EMR) from 1990 to 2019. Data on IHD prevalence, disability-adjusted life years (DALYs), mortality, DALYs attributable to risk factors, healthcare access and quality index (HAQ), and universal health coverage (UHC) were extracted from the Global Burden of Disease (GBD) database for EMR countries. The data were stratified based on the social demographic index (SDI). Information on cardiac rehabilitation was obtained from publications by the International Council of Cardiovascular Prevention and Rehabilitation (ICCPR), and additional country-specific data were obtained through advanced search methods. Age standardization was performed using the direct method, applying the estimated age structure of the global population from 2019. Uncertainty intervals were calculated through 1000 iterations, and the 2.5th and 97.5th percentiles were derived from these calculations. The age-standardized prevalence of IHD in the EMR increased from 5.0% to 5.5% between 1990 and 2019, while it decreased at the global level. In the EMR, the age-standardized rates of IHD mortality and DALYs decreased by 11.4% and 15.4%, respectively, during the study period, although both rates remained higher than the global rates. The burden of IHD was found to be higher in males compared to females. Bahrain exhibited the highest decrease in age-standardized prevalence (-3.7%), mortality (-65.0%), and DALYs (-69.1%) rates among the EMR countries. Conversely, Oman experienced the highest increase in prevalence (14.5%), while Pakistan had the greatest increase in mortality (30.0%) and DALYs (32.0%) rates. The top three risk factors contributing to IHD DALYs in the EMR in 2019 were high systolic blood pressure, high low-density lipoprotein cholesterol, and particulate matter pollution. The trend analysis over the 29-year period (1990-2019) revealed that high fasting plasma glucose (64.0%) and high body mass index (23.4%) exhibited increasing trends as attributed risk factors for IHD DALYs in the EMR. Our findings indicate an increasing trend in the prevalence of IHD and a decrease in mortality and DALYs in the EMR. These results emphasize the need for well-planned prevention and treatment strategies to address the risk factors associated with IHD. It is crucial for the countries in this region to prioritize the development and implementation of programs focused on health promotion, education, prevention, and medical care.
Collapse
Affiliation(s)
- Masoumeh Sadeghi
- Cardiovascular Research Institute, Cardiac Rehabilitation Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Marjan Jamalian
- Cardiovascular Research Institute, Hypertension Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Kamran Mehrabani-Zeinabad
- Cardiovascular Research Institute, Pediatric Cardiovascular Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Karam Turk-Adawi
- Department of Public Health, QU-Health, Qatar University, Doha, Qatar
| | - Jacek Kopec
- School of Population & Public Health, University of British Columbia, Vancouver, Canada
- Arthritis Research Canada, Vancouver, Canada
| | - Wael AlMahmeed
- Heart and Vascular Institute, Cleveland Clinic Abu Dhabi, Abu Dhabi, United Arab Emirates
| | - Hanan F. Abdul Rahim
- Department of Public Health, College of Health Sciences, QU Health, Qatar University, Doha, Qatar
| | - Hasan Ali Farhan
- Scientific Council of Cardiology, Iraqi Board for Medical Specializations. Baghdad Heart Center, Baghdad, Iraq
| | - Wagida Anwar
- Faculty of Medicine, Community Medicine Department, Ain Shams University, Egypt and Armed Forces College of Medicine (AFCM), Cairo, Egypt
| | - Yosef Manla
- Heart and Vascular Institute, Cleveland Clinic Abu Dhabi, Abu Dhabi, United Arab Emirates
- Faculty of Medicine, Aleppo University, Aleppo, Syria
| | | | - Michelle Lui
- School of Population & Public Health, University of British Columbia, Vancouver, Canada
| | - Hamidreza Roohafza
- Cardiovascular Research Institute, Interventional Cardiology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | | | | | | | - George Saade
- Department of Cardiology, Bellevue Medical Center, Beirut, Lebanon
| | - Nejat Hassen
- School of Population & Public Health, University of British Columbia, Vancouver, Canada
- Arthritis Research Canada, Vancouver, Canada
| | - Amani Alandejani
- School of Population & Public Health, University of British Columbia, Vancouver, Canada
| | - Amr Abdin
- Syrian Cardiovascular Association, Damascus, Syria
| | - Saira Bokhari
- Department of Medicine, Aga Khan University Hospital, Karachi, Pakistan
| | - Gregory A. Roth
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, United States of America
- Department of Health Metrics Sciences, University of Washington, Seattle, United States of America
| | - Catherine Johnson
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, United States of America
| | - Benjamin Stark
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, United States of America
| | - Nizal Sarrafzadegan
- School of Population & Public Health, University of British Columbia, Vancouver, Canada
- Cardiovascular Research Institute, Isfahan Cardiovascular Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Ali H. Mokdad
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, United States of America
- Department of Health Metrics Sciences, University of Washington, Seattle, United States of America
| |
Collapse
|
15
|
Fleszar LG, Bryant AS, Johnson CO, Blacker BF, Aravkin A, Baumann M, Dwyer-Lindgren L, Kelly YO, Maass K, Zheng P, Roth GA. Trends in State-Level Maternal Mortality by Racial and Ethnic Group in the United States. JAMA 2023; 330:52-61. [PMID: 37395772 PMCID: PMC10318476 DOI: 10.1001/jama.2023.9043] [Citation(s) in RCA: 36] [Impact Index Per Article: 36.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 05/09/2023] [Indexed: 07/04/2023]
Abstract
Importance Evidence suggests that maternal mortality has been increasing in the US. Comprehensive estimates do not exist. Long-term trends in maternal mortality ratios (MMRs) for all states by racial and ethnic groups were estimated. Objective To quantify trends in MMRs (maternal deaths per 100 000 live births) by state for 5 mutually exclusive racial and ethnic groups using a bayesian extension of the generalized linear model network. Design, Setting, and Participants Observational study using vital registration and census data from 1999 to 2019 in the US. Pregnant or recently pregnant individuals aged 10 to 54 years were included. Main Outcomes and Measures MMRs. Results In 2019, MMRs in most states were higher among American Indian and Alaska Native and Black populations than among Asian, Native Hawaiian, or Other Pacific Islander; Hispanic; and White populations. Between 1999 and 2019, observed median state MMRs increased from 14.0 (IQR, 5.7-23.9) to 49.2 (IQR, 14.4-88.0) among the American Indian and Alaska Native population, 26.7 (IQR, 18.3-32.9) to 55.4 (IQR, 31.6-74.5) among the Black population, 9.6 (IQR, 5.7-12.6) to 20.9 (IQR, 12.1-32.8) among the Asian, Native Hawaiian, or Other Pacific Islander population, 9.6 (IQR, 6.9-11.6) to 19.1 (IQR, 11.6-24.9) among the Hispanic population, and 9.4 (IQR, 7.4-11.4) to 26.3 (IQR, 20.3-33.3) among the White population. In each year between 1999 and 2019, the Black population had the highest median state MMR. The American Indian and Alaska Native population had the largest increases in median state MMRs between 1999 and 2019. Since 1999, the median of state MMRs has increased for all racial and ethnic groups in the US and the American Indian and Alaska Native; Asian, Native Hawaiian, or Other Pacific Islander; and Black populations each observed their highest median state MMRs in 2019. Conclusion and Relevance While maternal mortality remains unacceptably high among all racial and ethnic groups in the US, American Indian and Alaska Native and Black individuals are at increased risk, particularly in several states where these inequities had not been previously highlighted. Median state MMRs for the American Indian and Alaska Native and Asian, Native Hawaiian, or Other Pacific Islander populations continue to increase, even after the adoption of a pregnancy checkbox on death certificates. Median state MMR for the Black population remains the highest in the US. Comprehensive mortality surveillance for all states via vital registration identifies states and racial and ethnic groups with the greatest potential to improve maternal mortality. Maternal mortality persists as a source of worsening disparities in many US states and prevention efforts during this study period appear to have had a limited impact in addressing this health crisis.
Collapse
Affiliation(s)
- Laura G. Fleszar
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Allison S. Bryant
- Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston
| | | | - Brigette F. Blacker
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Aleksandr Aravkin
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Applied Mathematics, University of Washington, Seattle
- Department of Health Metrics Sciences, University of Washington, Seattle
| | - Mathew Baumann
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Laura Dwyer-Lindgren
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, University of Washington, Seattle
| | - Yekaterina O. Kelly
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Kelsey Maass
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Peng Zheng
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, University of Washington, Seattle
| | - Gregory A. Roth
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, University of Washington, Seattle
- Division of Cardiology, Department of Medicine, University of Washington, Seattle
| |
Collapse
|
16
|
Mansouri A, Khosravi A, Mehrabani-Zeinabad K, Kopec JA, Adawi KI, Lui M, Abdul Rahim HF, Anwar W, Fadhil I, Sulaiman K, Bazargani N, Saade G, Farhan HA, AlMahmeed W, Bokhari SS, Hassen N, Alandejani A, Shirani S, Abdin A, Manla Y, Johnson C, Stark B, Roth GA, Mokdad AH, Shariful Islam SM, Sarrafzadegan N. Trends in the burden and determinants of hypertensive heart disease in the Eastern Mediterranean region, 1990-2019: an analysis of the Global Burden of Disease Study 2019. EClinicalMedicine 2023; 60:102034. [PMID: 37396799 PMCID: PMC10314131 DOI: 10.1016/j.eclinm.2023.102034] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 04/24/2023] [Accepted: 05/17/2023] [Indexed: 07/04/2023] Open
Abstract
Background Hypertensive heart disease (HHD), one of the end-organ damage consequences of hypertension, is an important public health issue worldwide. Data on the HHD burden in the Eastern Mediterranean region (EMR) are scarce. We aimed to investigate the burden of HHD in the EMR, its member countries, and globally from 1990 to 2019. Methods We used 2019 Global Burden of Disease (GBD) data to report the HHD age-standardised prevalence, disability adjusted life years (DALYs), years of life lost (YLLs), and mortality, as well as HHD risk factors attribution percent with their 95% uncertainty interval (UI). Global data are reported alongside EMR data, and its 22 respective countries. We compared the burden of HHD by socio-demographic index (SDI), sex, age groups, and countries. Findings The age-standardised prevalence rate (per 100,000 population) of HHD was higher in the EMR (281.7; 95% UI: 204.5-383.4) in 2019, compared with the global prevalence (233.8; 95% UI: 170.5-312.9). The EMR age-standardised DALYs (per 100,000 population) for HHD in 2019 was 561.9 (361.0-704.1), compared with 268.2 (204.6-298.1) at the global level. There was an increase in HHD prevalence, reduction in mortality, and DALYs between 1990 and 2019 (4.01%, -7.6%, and -6.5%, respectively) in EMR. Among EMR countries, the highest versus lowest rates of age-standardised prevalence, mortality, and DALYs in 2019 [estimate (95% UI)] were in Jordan [561.62 (417.9-747.6)] versus Saudi Arabia [94.9 (69.5-129.0)]; Afghanistan [74.5 (23.7-112.3)] versus Saudi Arabia [4.3 (3.3-5.9)]; and Afghanistan [1374.1 (467.2-2020.7)] versus Qatar [87.11 (64.40-114.29)], respectively. Interpretation HHD remains a significant problem in the EMR, with a higher burden than global levels. Serious efforts toward high-quality management and prevention are strongly recommended. Based on this study, our recommendation for the EMR is to adopt effective preventive strategies. For example, promoting healthy dietary patterns and prompt screening for undiagnosed HTN in public places, promoting regular blood pressure measurements at home, and creating community awareness about early detection of HTN. Funding None.
Collapse
Affiliation(s)
- Asieh Mansouri
- Hypertension Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Alireza Khosravi
- Hypertension Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Kamran Mehrabani-Zeinabad
- Cardiac Rehabilitation Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Jacek A. Kopec
- School of Population & Public Health, University of British Columbia, Vancouver, Canada
- Arthritis Research Canada, Vancouver, Canada
| | - Karam I.I. Adawi
- Department of Public Health, College of Health Sciences, QU Health, Qatar University, Doha, Qatar
| | - Michelle Lui
- School of Population & Public Health, University of British Columbia, Vancouver, Canada
| | - Hanan F. Abdul Rahim
- Department of Public Health, College of Health Sciences, QU Health, Qatar University, Doha, Qatar
| | - Wagida Anwar
- Community Medicine Department, Faculty of Medicine, Ain Shams University, Egypt and Armed Forces College of Medicine (AFCM), Egypt
| | - Ibtihal Fadhil
- Eastern Mediterranean Non-Communicable Disease Alliance, Kuwait
| | | | - Nooshin Bazargani
- Department of Cardiology, Dubai Hospital, Dubai, United Arab Emirates
| | - Georges Saade
- Department of Cardiology, Bellevue Medical Center, Beirut, Lebanon
| | - Hasan A. Farhan
- Scientific Council of Cardiology, Iraqi Board for Medical Specializations, Baghdad Heart Center, Baghdad, Iraq
| | - Wael AlMahmeed
- Heart and Vascular Institute, Cleveland Clinic Abu Dhabi, United Arab Emirates
| | | | - Nejat Hassen
- School of Population & Public Health, University of British Columbia, Vancouver, Canada
- Arthritis Research Canada, Vancouver, Canada
| | - Amani Alandejani
- School of Population & Public Health, University of British Columbia, Vancouver, Canada
| | - Shahin Shirani
- Department of Cardiology, Tehran University of Medical Science, Dr Ali Shariati Hospital, Tehran, Iran
| | - Amr Abdin
- Syrian Cardiovascular Association, Damascus, Syria
| | - Yosef Manla
- Heart and Vascular Institute, Cleveland Clinic Abu Dhabi, United Arab Emirates
- Faculty of Medicine, Aleppo University, Aleppo, Syria
| | - Catherine Johnson
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, USA
| | - Benjamin Stark
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, USA
| | - Gregory A. Roth
- Division of Cardiology, Department of Medicine, University of Washington, Seattle, USA
| | - Ali H. Mokdad
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, USA
- Department of Health Metrics Sciences, University of Washington, Seattle, USA
| | | | - Nizal Sarrafzadegan
- School of Population & Public Health, University of British Columbia, Vancouver, Canada
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| |
Collapse
|
17
|
Johnson CO, DeCleene NK, Blacker BF, Cunningham MW, Aravkin A, Dieleman JL, Gakidou E, Naghavi M, Ogunniyi MO, Zheng P, Roth GA. State-Level Cardiovascular Mortality Rates Among Hispanic, Non-Hispanic Black, and Non-Hispanic White Populations, 1990 to 2019. JAMA Cardiol 2023; 8:429-442. [PMID: 36920376 PMCID: PMC10018407 DOI: 10.1001/jamacardio.2023.0112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 01/06/2023] [Indexed: 03/16/2023]
Abstract
Importance Cardiovascular disease (CVD) is the leading cause of death in the US, with considerable variation by both state and race and ethnicity group. Consistent, comparable measures of mortality by specific CVD cause at the state level and by race and ethnicity have not previously been available and are necessary for supporting policy decisions aimed at reducing health inequities. Objective To quantify and describe levels and trends of mortality due to overall CVD and its component causes for 3 mutually exclusive race and ethnicity groups and by state. Design, Setting, and Participants This cross-sectional study used Census data, population surveys, and US vital registration records to estimate cause-specific cardiovascular mortality by state and by the following race and ethnicity groups, defined by the US Office of Management and Budget: Hispanic of any race, non-Hispanic Black (hereafter, Black), and non-Hispanic White (hereafter, White). Data were analyzed from January 2020 to September 2022. Exposures State of residence at time of death; Hispanic ethnicity and Black or White race. Main Outcomes and Measures CVD death counts and mortality rates. Results An estimated 25 397 029 persons died of cardiovascular diseases from 1990 to 2019. The mean (SD) age of individuals was 78.20 (14.01); 13 087 290 individuals (51.53%) were female and 12 309 739 (48.47%) were male; 2 921 650 (11.50%) were Black, 1 159 498 (4.57%) were Hispanic, and 21 315 880 (83.93%) were White. Age-standardized CVD mortality per 100 000 persons in 2019 was 194.4 (95% uncertainty interval [UI], 172.7 to 207.4), 107.7 (95% UI, 92.9 to 121.4), and 153.8 (95% UI, 133.8 to 163.8) among Black, Hispanic, and White populations, respectively. The median (IQR) percentage change across states was smaller for 2010 to 2019 compared with 1990 to 2000 for both White female and White male populations (-6.8 [-10.1 to -4.3] vs -10.2 [-12.9 to -5.9] and -4.6 [-8.6 to -2.5] vs -16.5 [-19.3 to -15.4]). For the Black and Hispanic groups, the percentage change (IQR) was larger for the female populations for the latter time period (-15.1 [-18.9 to -11.7] vs -12.6 [-19.6 to -7.8] and -23.5 [-29.2 to -18.5] vs -8.2 [-17.8 to 5.96]). The converse was observed among male individuals in both groups, with smaller percentage change (IQR) values in 2010 to 2019 compared with 1990 to 2000 (-13.1 [-18.7 to -8.6] vs -18.6 [-25.5 to -14.7] among the Black male population and -20.4 [-25.6 to -15.6] vs -21.5 [-31.1 to -5.7] among the Hispanic male population). There was substantial variability at the state level for death due to total CVD and component causes in 2019 and changes in CVD mortality from 1990 through 2019. Conclusions and Relevance The findings of this study indicate that CVD mortality varied widely by state and race and ethnicity group. Changes over the time period were not consistent for all groups and varied by cardiovascular subcause. These results highlight ongoing health disparities in cardiovascular mortality.
Collapse
Affiliation(s)
| | - Nicole K. DeCleene
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Brigette F. Blacker
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | | | - Aleksandr Aravkin
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, University of Washington, Seattle
| | - Joseph L. Dieleman
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, University of Washington, Seattle
| | - Emmanuela Gakidou
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, University of Washington, Seattle
| | - Mohsen Naghavi
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, University of Washington, Seattle
| | - Modele O. Ogunniyi
- Division of Cardiology, Emory University School of Medicine, Atlanta, Georgia
| | - Peng Zheng
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, University of Washington, Seattle
| | - Gregory A. Roth
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, University of Washington, Seattle
- Division of Cardiology, Department of Medicine, University of Washington, Seattle
| |
Collapse
|
18
|
Hall EJ, Ayers CR, Kolkailah AA, Rutan C, Walchok J, Williams JH, Wang TY, Rodriguez F, Bradley SM, Stevens L, Hall JL, Mallya P, Roth GA, Morrow DA, Elkind MSV, Das SR, de Lemos JA. Longitudinal Trends in Cardiovascular Risk Factor Profiles and Complications Among Patients Hospitalized for COVID-19 Infection: Results From the American Heart Association COVID-19 Cardiovascular Disease Registry. Circ Cardiovasc Qual Outcomes 2023; 16:e009652. [PMID: 37017087 PMCID: PMC10178917 DOI: 10.1161/circoutcomes.122.009652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/06/2023]
Abstract
BACKGROUND The COVID-19 pandemic has evolved through multiple phases characterized by new viral variants, vaccine development, and changes in therapies. It is unknown whether rates of cardiovascular disease (CVD) risk factor profiles and complications have changed over time. METHODS We analyzed the American Heart Association COVID-19 CVD registry, a national multicenter registry of hospitalized adults with active COVID-19 infection. The time period from April 2020 to December 2021 was divided into 3-month epochs, with March 2020 analyzed separately as a potential outlier. Participating centers varied over the study period. Trends in all-cause in-hospital mortality, CVD risk factors, and in-hospital CVD outcomes, including a composite primary outcome of cardiovascular death, cardiogenic shock, new heart failure, stroke, and myocardial infarction, were evaluated across time epochs. Risk-adjusted analyses were performed using generalized linear mixed-effects models. RESULTS A total of 46 007 patient admissions from 134 hospitals were included (mean patient age 61.8 years, 53% male, 22% Black race). Patients admitted later in the pandemic were younger, more likely obese, and less likely to have existing CVD (Ptrend ≤0.001 for each). The incidence of the primary outcome increased from 7.0% in March 2020 to 9.8% in October to December 2021 (risk-adjusted Ptrend=0.006). This was driven by an increase in the diagnosis of myocardial infarction and stroke (Ptrend<0.0001 for each). The overall rate of in-hospital mortality was 14.2%, which declined over time (20.8% in March 2020 versus 10.8% in the last epoch; adjusted Ptrend<0.0001). When the analysis was restricted to July 2020 to December 2021, no temporal change in all-cause mortality was seen (adjusted Ptrend=0.63). CONCLUSIONS Despite a shifting risk factor profile toward a younger population with lower rates of established CVD, the incidence of diagnosed cardiovascular complications of COVID increased from the onset of the pandemic through December 2021. All-cause mortality decreased during the initial months of the pandemic and thereafter remained consistently high through December 2021.
Collapse
Affiliation(s)
- Eric J Hall
- Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern, Dallas (E.J.H., C.R.A., A.A.K., S.R.D., J.A.d.L.)
| | - Colby R Ayers
- Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern, Dallas (E.J.H., C.R.A., A.A.K., S.R.D., J.A.d.L.)
| | - Ahmed A Kolkailah
- Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern, Dallas (E.J.H., C.R.A., A.A.K., S.R.D., J.A.d.L.)
| | - Christine Rutan
- Quality, Outcomes Research, and Analytics Department, American Heart Association, Dallas (C.R., J.W., J.H.W., L.S., J.L.H., P.M.)
| | - Jason Walchok
- Quality, Outcomes Research, and Analytics Department, American Heart Association, Dallas (C.R., J.W., J.H.W., L.S., J.L.H., P.M.)
| | - Joseph H Williams
- Quality, Outcomes Research, and Analytics Department, American Heart Association, Dallas (C.R., J.W., J.H.W., L.S., J.L.H., P.M.)
| | - Tracy Y Wang
- Duke Clinical Research Institute, Duke University, Durham, NC (T.Y.W.)
| | - Fatima Rodriguez
- Division of Cardiovascular Medicine and the Cardiovascular Institute, Department of Medicine, Stanford University School of Medicine, CA (F.R.)
| | | | - Laura Stevens
- Quality, Outcomes Research, and Analytics Department, American Heart Association, Dallas (C.R., J.W., J.H.W., L.S., J.L.H., P.M.)
| | - Jennifer L Hall
- Quality, Outcomes Research, and Analytics Department, American Heart Association, Dallas (C.R., J.W., J.H.W., L.S., J.L.H., P.M.)
| | - Pratheek Mallya
- Quality, Outcomes Research, and Analytics Department, American Heart Association, Dallas (C.R., J.W., J.H.W., L.S., J.L.H., P.M.)
| | - Gregory A Roth
- Division of Cardiology, Department of Medicine, University of Washington, Seattle (G.A.R.)
| | - David A Morrow
- Levine Cardiac Intensive Care Unit, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (D.A.M.)
| | - Mitchell S V Elkind
- Department of Neurology, Vagelos College of Physicians and Surgeons, and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York (M.S.V.E.)
| | - Sandeep R Das
- Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern, Dallas (E.J.H., C.R.A., A.A.K., S.R.D., J.A.d.L.)
| | - James A de Lemos
- Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern, Dallas (E.J.H., C.R.A., A.A.K., S.R.D., J.A.d.L.)
| |
Collapse
|
19
|
Hall JL, Roth GA. Open Data Challenge to Examine the Impact of Social Determinants of Health on Stroke. Stroke 2023; 54:910-911. [PMID: 36866675 PMCID: PMC10313160 DOI: 10.1161/strokeaha.123.042645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/04/2023]
Affiliation(s)
| | - Gregory A. Roth
- Division of Cardiology, Department of Medicine, University of Washington, Seattle, Washington
| |
Collapse
|
20
|
Tsao CW, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Beaton AZ, Boehme AK, Buxton AE, Commodore-Mensah Y, Elkind MSV, Evenson KR, Eze-Nliam C, Fugar S, Generoso G, Heard DG, Hiremath S, Ho JE, Kalani R, Kazi DS, Ko D, Levine DA, Liu J, Ma J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Virani SS, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Martin SS. Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association. Circulation 2023; 147:e93-e621. [PMID: 36695182 DOI: 10.1161/cir.0000000000001123] [Citation(s) in RCA: 919] [Impact Index Per Article: 919.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year's worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
Collapse
|
21
|
Shakil SS, Ojji D, Longenecker CT, Roth GA. Early Stage and Established Hypertension in Sub-Saharan Africa: Results From Population Health Surveys in 17 Countries, 2010-2017. Circ Cardiovasc Qual Outcomes 2022; 15:e009046. [PMID: 36252134 PMCID: PMC9771997 DOI: 10.1161/circoutcomes.122.009046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 08/19/2022] [Indexed: 01/13/2023]
Abstract
BACKGROUND Multiple studies have reported a high burden of hypertension in sub-Saharan Africa, but none have examined early stage hypertension. We examined contemporary prevalence of diagnosed, treated, and controlled stage I (130-139/80-89 mm Hg) and II (≥140/90 mm Hg) hypertension in the general population of sub-Saharan Africa. METHODS We analyzed World Health Organization STEPwise Approach to Noncommunicable Disease Risk Factor Surveillance surveys from 17 sub-Saharan Africa countries including 85 371 respondents representing 85 million individuals from 2010 to 2017. We extracted demographic variables, blood pressure, self-reported hypertension diagnosis/awareness, and treatment status to estimate prevalence of stage I and II hypertension and treatment by country. We examined diagnosis and treatment trends by national sociodemographic index, a marker of development. RESULTS Stage I hypertension prevalence (regardless of diagnosis/treatment) was >25% in 13 of 17 countries, highest in Sudan (35.3% [95% CI, 33.7%-37.0%]), and lowest in Eritrea (20.2% [18.8%-21.6%]). Combined stages I and II hypertension prevalence was >50% in 13 countries; <20% were diagnosed in every country. Treatment among those diagnosed ranged from 26% to 63%, and control (<140/90 mm Hg) from 4% to 17%. In 8 of 9 countries reporting on behavioral interventions (eg, salt reduction, weight loss, exercise, and smoking cessation), <60% of diagnosed individuals received counseling. Rates of diagnosis, but not treatment, were positively associated with sociodemographic index (P=0.008), although there was substantial variation between countries even at similar levels of development. CONCLUSIONS Hypertension is common in sub-Saharan Africa but rates of diagnosis, treatment, and control markedly low. There is a large population with early stage hypertension that may benefit from behavioral counseling to prevent progression. Our analyses suggest that success in population hypertension care may be achieved independently of socioeconomic development, highlighting a need for policymakers to identify best practices in those countries that outperform similar or more developed countries.
Collapse
Affiliation(s)
- Saate S Shakil
- Division of Cardiology, Department of Medicine (S.S.S., C.T.L., G.A.R.), University of Washington, Seattle
- Institute for Health Metrics and Evaluation (S.S.S., G.A.R.), University of Washington, Seattle
| | - Dike Ojji
- Department of Medicine, Faculty of Clinical Sciences, University of Abuja, Nigeria (D.O.)
- University of Abuja Teaching Hospital, Gwagwalada, Nigeria (D.O.)
| | - Chris T Longenecker
- Division of Cardiology, Department of Medicine (S.S.S., C.T.L., G.A.R.), University of Washington, Seattle
- Department of Global Health (C.T.L.), University of Washington, Seattle
| | - Gregory A Roth
- Division of Cardiology, Department of Medicine (S.S.S., C.T.L., G.A.R.), University of Washington, Seattle
- Institute for Health Metrics and Evaluation (S.S.S., G.A.R.), University of Washington, Seattle
| |
Collapse
|
22
|
Razo C, Welgan CA, Johnson CO, McLaughlin SA, Iannucci V, Rodgers A, Wang N, LeGrand KE, Sorensen RJD, He J, Zheng P, Aravkin AY, Hay SI, Murray CJL, Roth GA. Effects of elevated systolic blood pressure on ischemic heart disease: a Burden of Proof study. Nat Med 2022; 28:2056-2065. [PMID: 36216934 PMCID: PMC9556328 DOI: 10.1038/s41591-022-01974-1] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 07/27/2022] [Indexed: 12/28/2022]
Abstract
High systolic blood pressure (SBP) is a major risk factor for ischemic heart disease (IHD), the leading cause of death worldwide. Using data from published observational studies and controlled trials, we estimated the mean SBP-IHD dose-response function and burden of proof risk function (BPRF), and we calculated a risk outcome score (ROS) and corresponding star rating (one to five). We found a very strong, significant harmful effect of SBP on IHD, with a mean risk-relative to that at 100 mm Hg SBP-of 1.39 (95% uncertainty interval including between-study heterogeneity 1.34-1.44) at 120 mm Hg, 1.81 (1.70-1.93) at 130 mm Hg and 4.48 (3.81-5.26) at 165 mm Hg. The conservative BPRF measure indicated that SBP exposure between 107.5 and 165.0 mm Hg raised risk by 101.36% on average, yielding a ROS of 0.70 and star rating of five. Our analysis shows that IHD risk was already increasing at 120 mm Hg SBP, rising steadily up to 165 mm Hg and increasing less steeply above that point. Our study endorses the need to prioritize and strengthen strategies for screening, to raise awareness of the need for timely diagnosis and treatment of hypertension and to increase the resources allocated for understanding primordial prevention of elevated blood pressure.
Collapse
Affiliation(s)
- Christian Razo
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA.
| | | | - Catherine O Johnson
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Susan A McLaughlin
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Vincent Iannucci
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Anthony Rodgers
- The George Institute for Global Health, The University of New South Wales, Sydney, New South Wales, Australia
| | - Nelson Wang
- The George Institute for Global Health, The University of New South Wales, Sydney, New South Wales, Australia
| | - Kate E LeGrand
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Reed J D Sorensen
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Jiawei He
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Peng Zheng
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Aleksandr Y Aravkin
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
- Department of Applied Mathematics, University of Washington, Seattle, WA, USA
| | - Simon I Hay
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Christopher J L Murray
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Gregory A Roth
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
- Division of Cardiology, University of Washington, Seattle, WA, USA
| |
Collapse
|
23
|
Zheng P, Afshin A, Biryukov S, Bisignano C, Brauer M, Bryazka D, Burkart K, Cercy KM, Cornaby L, Dai X, Dirac MA, Estep K, Fay KA, Feldman R, Ferrari AJ, Gakidou E, Gil GF, Griswold M, Hay SI, He J, Irvine CMS, Kassebaum NJ, LeGrand KE, Lescinsky H, Lim SS, Lo J, Mullany EC, Ong KL, Rao PC, Razo C, Reitsma MB, Roth GA, Santomauro DF, Sorensen RJD, Srinivasan V, Stanaway JD, Vollset SE, Vos T, Wang N, Welgan CA, Wozniak SS, Aravkin AY, Murray CJL. The Burden of Proof studies: assessing the evidence of risk. Nat Med 2022; 28:2038-2044. [PMID: 36216935 PMCID: PMC9556298 DOI: 10.1038/s41591-022-01973-2] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 07/28/2022] [Indexed: 01/03/2023]
Abstract
Exposure to risks throughout life results in a wide variety of outcomes. Objectively judging the relative impact of these risks on personal and population health is fundamental to individual survival and societal prosperity. Existing mechanisms to quantify and rank the magnitude of these myriad effects and the uncertainty in their estimation are largely subjective, leaving room for interpretation that can fuel academic controversy and add to confusion when communicating risk. We present a new suite of meta-analyses-termed the Burden of Proof studies-designed specifically to help evaluate these methodological issues objectively and quantitatively. Through this data-driven approach that complements existing systems, including GRADE and Cochrane Reviews, we aim to aggregate evidence across multiple studies and enable a quantitative comparison of risk-outcome pairs. We introduce the burden of proof risk function (BPRF), which estimates the level of risk closest to the null hypothesis that is consistent with available data. Here we illustrate the BPRF methodology for the evaluation of four exemplar risk-outcome pairs: smoking and lung cancer, systolic blood pressure and ischemic heart disease, vegetable consumption and ischemic heart disease, and unprocessed red meat consumption and ischemic heart disease. The strength of evidence for each relationship is assessed by computing and summarizing the BPRF, and then translating the summary to a simple star rating. The Burden of Proof methodology provides a consistent way to understand, evaluate and summarize evidence of risk across different risk-outcome pairs, and informs risk analysis conducted as part of the Global Burden of Diseases, Injuries, and Risk Factors Study.
Collapse
Affiliation(s)
- Peng Zheng
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Ashkan Afshin
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Stan Biryukov
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Catherine Bisignano
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Michael Brauer
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
- School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - Dana Bryazka
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Katrin Burkart
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Kelly M Cercy
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Leslie Cornaby
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Xiaochen Dai
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - M Ashworth Dirac
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Kara Estep
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Kairsten A Fay
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Rachel Feldman
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Alize J Ferrari
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
- School of Public Health, The University of Queensland, Brisbane, Queensland, Australia
- Queensland Centre for Mental Health Research, Wacol, Queensland, Australia
| | - Emmanuela Gakidou
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Gabriela Fernanda Gil
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Max Griswold
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Simon I Hay
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Jiawei He
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Caleb M S Irvine
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Nicholas J Kassebaum
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
- Department of Anesthesiology & Pain Medicine, University of Washington, Seattle, WA, USA
| | - Kate E LeGrand
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Haley Lescinsky
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Stephen S Lim
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Justin Lo
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Erin C Mullany
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Kanyin Liane Ong
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Puja C Rao
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Christian Razo
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Marissa B Reitsma
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Gregory A Roth
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
- Division of Cardiology, University of Washington, Seattle, WA, USA
| | - Damian F Santomauro
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
- School of Public Health, The University of Queensland, Brisbane, Queensland, Australia
- Queensland Centre for Mental Health Research, Wacol, Queensland, Australia
| | - Reed J D Sorensen
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Vinay Srinivasan
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Jeffrey D Stanaway
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Stein Emil Vollset
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Theo Vos
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Nelson Wang
- The George Institute for Global Health, The University of New South Wales, Sydney, New South Wales, Australia
| | - Catherine A Welgan
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Sarah S Wozniak
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Aleksandr Y Aravkin
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
- Department of Applied Mathematics, University of Washington, Seattle, WA, USA
| | - Christopher J L Murray
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA.
| |
Collapse
|
24
|
Roth GA, Vaduganathan M, Mensah GA. Impact of the COVID-19 Pandemic on Cardiovascular Health in 2020: JACC State-of-the-Art Review. J Am Coll Cardiol 2022; 80:631-640. [PMID: 35926937 PMCID: PMC9341480 DOI: 10.1016/j.jacc.2022.06.008] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 06/08/2022] [Accepted: 06/13/2022] [Indexed: 10/31/2022]
Abstract
The impact of COVID-19 on the burden of cardiovascular diseases (CVD) during the early pandemic remains unclear. COVID-19 has become one of the leading causes of global mortality, with a disproportionate impact on persons with CVD. Studies of health facility admissions for CVD found significant decreases during the pandemic. Studies of hospital mortality for CVD were more variable. Studies of population-level CVD mortality differed across countries, with most showing decreases, although some revealed increases in deaths. In some countries where large increases in CVD deaths were reported in vital registration systems, misclassification of COVID-19 as CVD may have occurred. Taken together, studies suggest heterogeneous effects of the COVID-19 pandemic on CVD without large increases in CVD mortality in 2020 for a number of countries. Clinical and population science research is needed to examine the ways in which the pandemic has affected CVD burden.
Collapse
Affiliation(s)
- Gregory A Roth
- Division of Cardiology, Department of Medicine, and Department of Health Metrics Sciences, Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA.
| | - Muthiah Vaduganathan
- Division of Cardiovascular Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - George A Mensah
- Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| |
Collapse
|
25
|
Johnson CO, Boon-Dooley AS, DeCleene NK, Henny KF, Blacker BF, Anderson JA, Afshin A, Aravkin A, Cunningham MW, Dieleman JL, Feldman RG, Gakidou E, Mokdad AH, Naghavi M, Spencer CN, Whisnant JL, York HW, Zende RR, Zheng P, Murray CJL, Roth GA. Life Expectancy for White, Black, and Hispanic Race/Ethnicity in U.S. States: Trends and Disparities, 1990 to 2019. Ann Intern Med 2022; 175:1057-1064. [PMID: 35759765 PMCID: PMC10519623 DOI: 10.7326/m21-3956] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Life expectancy (LE) differences within and between states by race/ethnicity have not been examined. OBJECTIVE To estimate LE for selected race/ethnicity groups in states from 1990 to 2019. DESIGN Cross-sectional time-series analysis. SETTING United States. PARTICIPANTS Deidentified death records and Census data were used to construct regression models with smoothed time series of mortality from 1990 to 2019. MEASUREMENTS LE at birth, by sex and year, for subgroups of people reporting Hispanic, non-Hispanic Black, or non-Hispanic White race/ethnicity. RESULTS Disparities in LE across states were 8.0 years for females and 12.2 years for males in 1990 and 7.9 years for females and 7.8 years for males in 2019. When race/ethnicity groups were accounted for, disparities across states were 20.7 years for females and 24.5 years for males in 1990, decreasing to 18.5 years for females and 23.7 years for males in 2019. Disparities across states increased within each race/ethnicity group between 1990 and 2019, with the largest increase for non-Hispanic White males and the smallest for Hispanic females. The disparity between race/ethnicity groups within states decreased for most of the 23 states with estimates for all 3 groups but increased for females in 7 states and males in 5 states. LIMITATION Because of small sample size, LE was not estimated for 37 of 153 state-race/ethnicity groups. CONCLUSION Disparity in LE across states was greater when race/ethnicity groups were considered. Disparities across all state-race/ethnicity groups in general have decreased over the past 3 decades. Within each race/ethnicity group, disparities across states have increased. Although racial/ethnic disparities decreased in most of the 23 states for which LE was estimated for all 3 groups, they increased for females in 7 states and males in 5 states. PRIMARY FUNDING SOURCE National Heart, Lung, and Blood Institute.
Collapse
Affiliation(s)
- Catherine O Johnson
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington (C.O.J., A.S.B., N.K.D., K.F.H., B.F.B., J.A.A., M.W.C., R.G.F., C.N.S., J.L.W., H.W.Y., R.R.Z.)
| | - Alexandra S Boon-Dooley
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington (C.O.J., A.S.B., N.K.D., K.F.H., B.F.B., J.A.A., M.W.C., R.G.F., C.N.S., J.L.W., H.W.Y., R.R.Z.)
| | - Nicole K DeCleene
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington (C.O.J., A.S.B., N.K.D., K.F.H., B.F.B., J.A.A., M.W.C., R.G.F., C.N.S., J.L.W., H.W.Y., R.R.Z.)
| | - Kiana F Henny
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington (C.O.J., A.S.B., N.K.D., K.F.H., B.F.B., J.A.A., M.W.C., R.G.F., C.N.S., J.L.W., H.W.Y., R.R.Z.)
| | - Brigette F Blacker
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington (C.O.J., A.S.B., N.K.D., K.F.H., B.F.B., J.A.A., M.W.C., R.G.F., C.N.S., J.L.W., H.W.Y., R.R.Z.)
| | - Jason A Anderson
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington (C.O.J., A.S.B., N.K.D., K.F.H., B.F.B., J.A.A., M.W.C., R.G.F., C.N.S., J.L.W., H.W.Y., R.R.Z.)
| | - Ashkan Afshin
- Institute for Health Metrics and Evaluation and Department of Health Metrics Sciences, University of Washington, Seattle, Washington (A.Afshin, A.Aravkin, J.L.D., E.G., A.H.M., M.N., P.Z., C.J.L.M.)
| | - Aleksandr Aravkin
- Institute for Health Metrics and Evaluation and Department of Health Metrics Sciences, University of Washington, Seattle, Washington (A.Afshin, A.Aravkin, J.L.D., E.G., A.H.M., M.N., P.Z., C.J.L.M.)
| | - Matthew W Cunningham
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington (C.O.J., A.S.B., N.K.D., K.F.H., B.F.B., J.A.A., M.W.C., R.G.F., C.N.S., J.L.W., H.W.Y., R.R.Z.)
| | - Joseph L Dieleman
- Institute for Health Metrics and Evaluation and Department of Health Metrics Sciences, University of Washington, Seattle, Washington (A.Afshin, A.Aravkin, J.L.D., E.G., A.H.M., M.N., P.Z., C.J.L.M.)
| | - Rachel G Feldman
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington (C.O.J., A.S.B., N.K.D., K.F.H., B.F.B., J.A.A., M.W.C., R.G.F., C.N.S., J.L.W., H.W.Y., R.R.Z.)
| | - Emmanuela Gakidou
- Institute for Health Metrics and Evaluation and Department of Health Metrics Sciences, University of Washington, Seattle, Washington (A.Afshin, A.Aravkin, J.L.D., E.G., A.H.M., M.N., P.Z., C.J.L.M.)
| | - Ali H Mokdad
- Institute for Health Metrics and Evaluation and Department of Health Metrics Sciences, University of Washington, Seattle, Washington (A.Afshin, A.Aravkin, J.L.D., E.G., A.H.M., M.N., P.Z., C.J.L.M.)
| | - Mohsen Naghavi
- Institute for Health Metrics and Evaluation and Department of Health Metrics Sciences, University of Washington, Seattle, Washington (A.Afshin, A.Aravkin, J.L.D., E.G., A.H.M., M.N., P.Z., C.J.L.M.)
| | - Cory N Spencer
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington (C.O.J., A.S.B., N.K.D., K.F.H., B.F.B., J.A.A., M.W.C., R.G.F., C.N.S., J.L.W., H.W.Y., R.R.Z.)
| | - Joanna L Whisnant
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington (C.O.J., A.S.B., N.K.D., K.F.H., B.F.B., J.A.A., M.W.C., R.G.F., C.N.S., J.L.W., H.W.Y., R.R.Z.)
| | - Hunter Wade York
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington (C.O.J., A.S.B., N.K.D., K.F.H., B.F.B., J.A.A., M.W.C., R.G.F., C.N.S., J.L.W., H.W.Y., R.R.Z.)
| | - Rahul R Zende
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington (C.O.J., A.S.B., N.K.D., K.F.H., B.F.B., J.A.A., M.W.C., R.G.F., C.N.S., J.L.W., H.W.Y., R.R.Z.)
| | - Peng Zheng
- Institute for Health Metrics and Evaluation and Department of Health Metrics Sciences, University of Washington, Seattle, Washington (A.Afshin, A.Aravkin, J.L.D., E.G., A.H.M., M.N., P.Z., C.J.L.M.)
| | - Christopher J L Murray
- Institute for Health Metrics and Evaluation and Department of Health Metrics Sciences, University of Washington, Seattle, Washington (A.Afshin, A.Aravkin, J.L.D., E.G., A.H.M., M.N., P.Z., C.J.L.M.)
| | - Gregory A Roth
- Institute for Health Metrics and Evaluation, Department of Health Metrics Sciences, and Division of Cardiology, Department of Medicine, University of Washington, Seattle, Washington (G.A.R.)
| |
Collapse
|
26
|
Bryazka D, Reitsma MB, Griswold MG, Abate KH, Abbafati C, Abbasi-Kangevari M, Abbasi-Kangevari Z, Abdoli A, Abdollahi M, Abdullah AYM, Abhilash ES, Abu-Gharbieh E, Acuna JM, Addolorato G, Adebayo OM, Adekanmbi V, Adhikari K, Adhikari S, Adnani QES, Afzal S, Agegnehu WY, Aggarwal M, Ahinkorah BO, Ahmad AR, Ahmad S, Ahmad T, Ahmadi A, Ahmadi S, Ahmed H, Ahmed Rashid T, Akunna CJ, Al Hamad H, Alam MZ, Alem DT, Alene KA, Alimohamadi Y, Alizadeh A, Allel K, Alonso J, Alvand S, Alvis-Guzman N, Amare F, Ameyaw EK, Amiri S, Ancuceanu R, Anderson JA, Andrei CL, Andrei T, Arabloo J, Arshad M, Artamonov AA, Aryan Z, Asaad M, Asemahagn MA, Astell-Burt T, Athari SS, Atnafu DD, Atorkey P, Atreya A, Ausloos F, Ausloos M, Ayano G, Ayanore MAA, Ayinde OO, Ayuso-Mateos JL, Azadnajafabad S, Azanaw MM, Azangou-Khyavy M, Azari Jafari A, Azzam AY, Badiye AD, Bagheri N, Bagherieh S, Bairwa M, Bakkannavar SM, Bakshi RK, Balchut/Bilchut AH, Bärnighausen TW, Barra F, Barrow A, Baskaran P, Belo L, Bennett DA, Benseñor IM, Bhagavathula AS, Bhala N, Bhalla A, Bhardwaj N, Bhardwaj P, Bhaskar S, Bhattacharyya K, Bhojaraja VS, Bintoro BS, Blokhina EAE, Bodicha BBA, Boloor A, Bosetti C, Braithwaite D, Brenner H, Briko NI, Brunoni AR, Butt ZA, Cao C, Cao Y, Cárdenas R, Carvalho AF, Carvalho M, Castaldelli-Maia JM, Castelpietra G, Castro-de-Araujo LFS, Cattaruzza MS, Chakraborty PA, Charan J, Chattu VK, Chaurasia A, Cherbuin N, Chu DT, Chudal N, Chung SC, Churko C, Ciobanu LG, Cirillo M, Claro RM, Costanzo S, Cowden RG, Criqui MH, Cruz-Martins N, Culbreth GT, Dachew BA, Dadras O, Dai X, Damiani G, Dandona L, Dandona R, Daniel BD, Danielewicz A, Darega Gela J, Davletov K, de Araujo JAP, de Sá-Junior AR, Debela SA, Dehghan A, Demetriades AK, Derbew Molla M, Desai R, Desta AA, Dias da Silva D, Diaz D, Digesa LE, Diress M, Dodangeh M, Dongarwar D, Dorostkar F, Dsouza HL, Duko B, Duncan BB, Edvardsson K, Ekholuenetale M, Elgar FJ, Elhadi M, Elmonem MA, Endries AY, Eskandarieh S, Etemadimanesh A, Fagbamigbe AF, Fakhradiyev IR, Farahmand F, Farinha CSES, Faro A, Farzadfar F, Fatehizadeh A, Fauk NK, Feigin VL, Feldman R, Feng X, Fentaw Z, Ferrero S, Ferro Desideri L, Filip I, Fischer F, Francis JM, Franklin RC, Gaal PA, Gad MM, Gallus S, Galvano F, Ganesan B, Garg T, Gebrehiwot MGD, Gebremeskel TG, Gebremichael MA, Gemechu TR, Getacher L, Getachew ME, Getachew Obsa A, Getie A, Ghaderi A, Ghafourifard M, Ghajar A, Ghamari SH, Ghandour LA, Ghasemi Nour M, Ghashghaee A, Ghozy S, Glozah FN, Glushkova EV, Godos J, Goel A, Goharinezhad S, Golechha M, Goleij P, Golitaleb M, Greaves F, Grivna M, Grosso G, Gudayu TW, Gupta B, Gupta R, Gupta S, Gupta VB, Gupta VK, Hafezi-Nejad N, Haj-Mirzaian A, Hall BJ, Halwani R, Handiso TB, Hankey GJ, Hariri S, Haro JM, Hasaballah AI, Hassanian-Moghaddam H, Hay SI, Hayat K, Heidari G, Heidari M, Hendrie D, Herteliu C, Heyi DZ, Hezam K, Hlongwa MM, Holla R, Hossain MM, Hossain S, Hosseini SK, hosseinzadeh M, Hostiuc M, Hostiuc S, Hu G, Huang J, Hussain S, Ibitoye SE, Ilic IM, Ilic MD, Immurana M, Irham LM, Islam MM, Islam RM, Islam SMS, Iso H, Itumalla R, Iwagami M, Jabbarinejad R, Jacob L, Jakovljevic M, Jamalpoor Z, Jamshidi E, Jayapal SK, Jayarajah UU, Jayawardena R, Jebai R, Jeddi SA, Jema AT, Jha RP, Jindal HA, Jonas JB, Joo T, Joseph N, Joukar F, Jozwiak JJ, Jürisson M, Kabir A, Kabthymer RH, Kamble BD, Kandel H, Kanno GG, Kapoor N, Karaye IM, Karimi SE, Kassa BG, Kaur RJ, Kayode GA, Keykhaei M, Khajuria H, Khalilov R, Khan IA, Khan MAB, Kim H, Kim J, Kim MS, Kimokoti RW, Kivimäki M, Klymchuk V, Knudsen AKS, Kolahi AA, Korshunov VA, Koyanagi A, Krishan K, Krishnamoorthy Y, Kumar GA, Kumar N, Kumar N, Lacey B, Lallukka T, Lasrado S, Lau J, Lee SW, Lee WC, Lee YH, Lim LL, Lim SS, Lobo SW, Lopukhov PD, Lorkowski S, Lozano R, Lucchetti G, Madadizadeh F, Madureira-Carvalho ÁM, Mahjoub S, Mahmoodpoor A, Mahumud RA, Makki A, Malekpour MR, Manjunatha N, Mansouri B, Mansournia MA, Martinez-Raga J, Martinez-Villa FA, Matzopoulos R, Maulik PK, Mayeli M, McGrath JJ, Meena JK, Mehrabi Nasab E, Menezes RG, Mensink GBM, Mentis AFA, Meretoja A, Merga BT, Mestrovic T, Miao Jonasson J, Miazgowski B, Micheletti Gomide Nogueira de Sá AC, Miller TR, Mini GK, Mirica A, Mirijello A, Mirmoeeni S, Mirrakhimov EM, Misra S, Moazen B, Mobarakabadi M, Moccia M, Mohammad Y, Mohammadi E, Mohammadian-Hafshejani A, Mohammed TA, Moka N, Mokdad AH, Momtazmanesh S, Moradi Y, Mostafavi E, Mubarik S, Mullany EC, Mulugeta BT, Murillo-Zamora E, Murray CJL, Mwita JC, Naghavi M, Naimzada MD, Nangia V, Nayak BP, Negoi I, Negoi RI, Nejadghaderi SA, Nepal S, Neupane SPP, Neupane Kandel S, Nigatu YT, Nowroozi A, Nuruzzaman KM, Nzoputam CI, Obamiro KO, Ogbo FA, Oguntade AS, Okati-Aliabad H, Olakunde BO, Oliveira GMM, Omar Bali A, Omer E, Ortega-Altamirano DV, Otoiu A, Otstavnov SS, Oumer B, P A M, Padron-Monedero A, Palladino R, Pana A, Panda-Jonas S, Pandey A, Pandey A, Pardhan S, Parekh T, Park EK, Parry CDH, Pashazadeh Kan F, Patel J, Pati S, Patton GC, Paudel U, Pawar S, Peden AE, Petcu IR, Phillips MR, Pinheiro M, Plotnikov E, Pradhan PMS, Prashant A, Quan J, Radfar A, Rafiei A, Raghav PR, Rahimi-Movaghar V, Rahman A, Rahman MM, Rahman M, Rahmani AM, Rahmani S, Ranabhat CL, Ranasinghe P, Rao CR, Rasali DP, Rashidi MM, Ratan ZA, Rawaf DL, Rawaf S, Rawal L, Renzaho AMN, Rezaei N, Rezaei S, Rezaeian M, Riahi SM, Romero-Rodríguez E, Roth GA, Rwegerera GM, Saddik B, Sadeghi E, Sadeghian R, Saeed U, Saeedi F, Sagar R, Sahebkar A, Sahoo H, Sahraian MA, Saif-Ur-Rahman KM, Salahi S, Salimzadeh H, Samy AM, Sanmarchi F, Santric-Milicevic MM, Sarikhani Y, Sathian B, Saya GK, Sayyah M, Schmidt MI, Schutte AE, Schwarzinger M, Schwebel DC, Seidu AA, Senthil Kumar N, SeyedAlinaghi S, Seylani A, Sha F, Shahin S, Shahraki-Sanavi F, Shahrokhi S, Shaikh MA, Shaker E, Shakhmardanov MZ, Shams-Beyranvand M, Sheikhbahaei S, Sheikhi RA, Shetty A, Shetty JK, Shiferaw DS, Shigematsu M, Shiri R, Shirkoohi R, Shivakumar KM, Shivarov V, Shobeiri P, Shrestha R, Sidemo NB, Sigfusdottir ID, Silva DAS, Silva NTD, Singh JA, Singh S, Skryabin VY, Skryabina AA, Sleet DA, Solmi M, SOLOMON YONATAN, Song S, Song Y, Sorensen RJD, Soshnikov S, Soyiri IN, Stein DJ, Subba SH, Szócska M, Tabarés-Seisdedos R, Tabuchi T, Taheri M, Tan KK, Tareke M, Tarkang EE, Temesgen G, Temesgen WA, Temsah MH, Thankappan KR, Thapar R, Thomas NK, Tiruneh C, Todorovic J, Torrado M, Touvier M, Tovani-Palone MR, Tran MTN, Trias-Llimós S, Tripathy JP, Vakilian A, Valizadeh R, Varmaghani M, Varthya SB, Vasankari TJ, Vos T, Wagaye B, Waheed Y, Walde MT, Wang C, Wang Y, Wang YP, Westerman R, Wickramasinghe ND, Wubetu AD, Xu S, Yamagishi K, Yang L, Yesera GEE, Yigit A, Yiğit V, Yimaw AEAE, Yon DK, Yonemoto N, Yu C, Zadey S, Zahir M, Zare I, Zastrozhin MS, Zastrozhina A, Zhang ZJ, Zhong C, Zmaili M, Zuniga YMH, Gakidou E. Population-level risks of alcohol consumption by amount, geography, age, sex, and year: a systematic analysis for the Global Burden of Disease Study 2020. Lancet 2022; 400:185-235. [PMID: 35843246 PMCID: PMC9289789 DOI: 10.1016/s0140-6736(22)00847-9] [Citation(s) in RCA: 122] [Impact Index Per Article: 61.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 04/11/2022] [Accepted: 04/26/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND The health risks associated with moderate alcohol consumption continue to be debated. Small amounts of alcohol might lower the risk of some health outcomes but increase the risk of others, suggesting that the overall risk depends, in part, on background disease rates, which vary by region, age, sex, and year. METHODS For this analysis, we constructed burden-weighted dose-response relative risk curves across 22 health outcomes to estimate the theoretical minimum risk exposure level (TMREL) and non-drinker equivalence (NDE), the consumption level at which the health risk is equivalent to that of a non-drinker, using disease rates from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2020 for 21 regions, including 204 countries and territories, by 5-year age group, sex, and year for individuals aged 15-95 years and older from 1990 to 2020. Based on the NDE, we quantified the population consuming harmful amounts of alcohol. FINDINGS The burden-weighted relative risk curves for alcohol use varied by region and age. Among individuals aged 15-39 years in 2020, the TMREL varied between 0 (95% uncertainty interval 0-0) and 0·603 (0·400-1·00) standard drinks per day, and the NDE varied between 0·002 (0-0) and 1·75 (0·698-4·30) standard drinks per day. Among individuals aged 40 years and older, the burden-weighted relative risk curve was J-shaped for all regions, with a 2020 TMREL that ranged from 0·114 (0-0·403) to 1·87 (0·500-3·30) standard drinks per day and an NDE that ranged between 0·193 (0-0·900) and 6·94 (3·40-8·30) standard drinks per day. Among individuals consuming harmful amounts of alcohol in 2020, 59·1% (54·3-65·4) were aged 15-39 years and 76·9% (73·0-81·3) were male. INTERPRETATION There is strong evidence to support recommendations on alcohol consumption varying by age and location. Stronger interventions, particularly those tailored towards younger individuals, are needed to reduce the substantial global health loss attributable to alcohol. FUNDING Bill & Melinda Gates Foundation.
Collapse
|
27
|
Tsao CW, Aday AW, Almarzooq ZI, Alonso A, Beaton AZ, Bittencourt MS, Boehme AK, Buxton AE, Carson AP, Commodore-Mensah Y, Elkind MSV, Evenson KR, Eze-Nliam C, Ferguson JF, Generoso G, Ho JE, Kalani R, Khan SS, Kissela BM, Knutson KL, Levine DA, Lewis TT, Liu J, Loop MS, Ma J, Mussolino ME, Navaneethan SD, Perak AM, Poudel R, Rezk-Hanna M, Roth GA, Schroeder EB, Shah SH, Thacker EL, VanWagner LB, Virani SS, Voecks JH, Wang NY, Yaffe K, Martin SS. Heart Disease and Stroke Statistics-2022 Update: A Report From the American Heart Association. Circulation 2022; 145:e153-e639. [PMID: 35078371 DOI: 10.1161/cir.0000000000001052] [Citation(s) in RCA: 2192] [Impact Index Per Article: 1096.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2022 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population and an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, and the global burden of cardiovascular disease and healthy life expectancy. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
Collapse
|
28
|
Oliveira GMMD, Brant LCC, Polanczyk CA, Malta DC, Biolo A, Nascimento BR, Souza MDFMD, Lorenzo ARD, Fagundes AADP, Schaan BD, Castilho FMD, Cesena FHY, Soares GP, Xavier GF, Barreto JAS, Passaglia LG, Pinto MM, Machline-Carrion MJ, Bittencourt MS, Pontes OM, Villela PB, Teixeira RA, Sampaio RO, Gaziano TA, Perel P, Roth GA, Ribeiro ALP. Estatística Cardiovascular – Brasil 2021. Arq Bras Cardiol 2022; 118:115-373. [PMID: 35195219 PMCID: PMC8959063 DOI: 10.36660/abc.20211012] [Citation(s) in RCA: 53] [Impact Index Per Article: 26.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 11/10/2021] [Indexed: 02/07/2023] Open
|
29
|
Emmons‐Bell S, Johnson C, Boon‐Dooley A, Corris PA, Leary PJ, Rich S, Yacoub M, Roth GA. Prevalence, incidence, and survival of pulmonary arterial hypertension: A systematic review for the global burden of disease 2020 study. Pulm Circ 2022; 12:e12020. [PMID: 35506069 PMCID: PMC9052982 DOI: 10.1002/pul2.12020] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 10/13/2021] [Accepted: 11/03/2021] [Indexed: 11/13/2022] Open
Abstract
Pulmonary arterial hypertension (PAH) is characterized by increased resistance in the pulmonary arterioles as a result of remodeled blood vessels. We sought all available epidemiologic data on population‐based prevalence, incidence, and 1‐year survival of PAH as part of the Global Burden of Disease Study. We performed a systematic review searching Global Index Medicus (GIM) for keywords related to PAH between 1980 and 2021 and identified population‐representative sources of prevalence, incidence, and mortality for clinically diagnosed PAH. Of 6772 articles identified we found 65 with population‐level data: 17 for prevalence, 17 for incidence, and 58 reporting case fatality. Reported prevalence ranged from 0.37 cases/100,000 persons in a referral center of French children to 15 cases/100,000 persons in an Australian study. Reported incidence ranged from 0.008 cases/100,000 person‐years in Finland, to 1.4 cases/100,000 person‐years in a retrospective chart review at a clinic in Utah, United States. Reported 1‐year survival ranged from 67% to 99%. All studies with sex‐specific estimates of prevalence or incidence reported higher levels in females than males. Studies varied in their size, study design, diagnostic criteria, and sampling procedures. Reported PAH prevalence, incidence, and mortality varied by location and study. Prevalence ranged from 0.4 to 1.4 per 100,000 persons. Harmonization of methods for PAH registries would improve efforts at disease surveillance. Results of this search contribute to ongoing efforts to quantify the global burden of PAH.
Collapse
Affiliation(s)
- Sophia Emmons‐Bell
- Institute for Health Metrics and Evaluation University of Washington Seattle Washington USA
| | - Catherine Johnson
- Institute for Health Metrics and Evaluation University of Washington Seattle Washington USA
| | - Alexandra Boon‐Dooley
- Institute for Health Metrics and Evaluation University of Washington Seattle Washington USA
| | - Paul A. Corris
- Translational and Clinical Research Institute, Faculty of Medical Sciences Newcastle University Newcastle upon Tyne UK
- Pulmonary Vascular Research Institute UK
| | - Peter J. Leary
- Division of Pulmonary, Critical Care, and Sleep Medicine University of Washington Seattle Washington USA
| | - Stuart Rich
- Division of Cardiology Northwestern Memorial Hospital Chicago Illinois USA
| | - Magdi Yacoub
- Aswan Heart Centre Aswan Egypt
- National Heart & Lung Institute Imperial College London London UK
- Harefield Heart Science Centre London UK
| | - Gregory A. Roth
- Institute for Health Metrics and Evaluation University of Washington Seattle Washington USA
- Division of Cardiology, Department of Medicine University of Washington Seattle Washington USA
| |
Collapse
|
30
|
Ward JL, Azzopardi PS, Francis KL, Santelli JS, Skirbekk V, Sawyer SM, Kassebaum NJ, Mokdad AH, Hay SI, Abd-Allah F, Abdoli A, Abdollahi M, Abedi A, Abolhassani H, Abreu LG, Abrigo MRM, Abu-Gharbieh E, Abushouk AI, Adebayo OM, Adekanmbi V, Adham D, Advani SM, Afshari K, Agrawal A, Ahmad T, Ahmadi K, Ahmed AE, Aji B, Akombi-Inyang B, Alahdab F, Al-Aly Z, Alam K, Alanezi FM, Alanzi TM, Alcalde-Rabanal JE, Alemu BW, Al-Hajj S, Alhassan RK, Ali S, Alicandro G, Alijanzadeh M, Aljunid SM, Almasi-Hashiani A, Almasri NA, Al-Mekhlafi HM, Alonso J, Al-Raddadi RM, Altirkawi KA, Alvis-Guzman N, Amare AT, Amini S, Aminorroaya A, Amit AML, Amugsi DA, Ancuceanu R, Anderlini D, Andrei CL, Androudi S, Ansari F, Ansari I, Antonio CAT, Anvari D, Anwer R, Appiah SCY, Arabloo J, Arab-Zozani M, Ärnlöv J, Asaad M, Asadi-Aliabadi M, Asadi-Pooya AA, Atout MMW, Ausloos M, Avenyo EK, Avila-Burgos L, Ayala Quintanilla BP, Ayano G, Aynalem YA, Azari S, Azene ZN, Bakhshaei MH, Bakkannavar SM, Banach M, Banik PC, Barboza MA, Barker-Collo SL, Bärnighausen TW, Basu S, Baune BT, Bayati M, Bedi N, Beghi E, Bekuma TT, Bell AW, Bell ML, Benjet C, Bensenor IM, Berhe AK, Berhe K, Berman AE, Bhagavathula AS, Bhardwaj N, Bhardwaj P, Bhattacharyya K, Bhattarai S, Bhutta ZA, Bijani A, Bikbov B, Biondi A, Birhanu TTM, Biswas RK, Bohlouli S, Bolla SR, Boloor A, Borschmann R, Boufous S, Bragazzi NL, Braithwaite D, Breitborde NJK, Brenner H, Britton GB, Burns RA, Burugina Nagaraja S, Butt ZA, Caetano dos Santos FL, Cámera LA, Campos-Nonato IR, Campuzano Rincon JC, Cárdenas R, Carreras G, Carrero JJ, Carvalho F, Castaldelli-Maia JM, Castañeda-Orjuela CA, Castelpietra G, Catalá-López F, Cerin E, Chandan JS, Chang HY, Chang JC, Charan J, Chattu VK, Chaturvedi S, Choi JYJ, Chowdhury MAK, Christopher DJ, Chu DT, Chung MT, Chung SC, Cicuttini FM, Constantin TV, Costa VM, Dahlawi SMA, Dai H, Dai X, Damiani G, Dandona L, Dandona R, Daneshpajouhnejad P, Darwesh AM, Dávila-Cervantes CA, Davletov K, De la Hoz FP, De Leo D, Dervenis N, Desai R, Desalew A, Deuba K, Dharmaratne SD, Dhungana GP, Dianatinasab M, Dias da Silva D, Diaz D, Didarloo A, Djalalinia S, Dorostkar F, Doshi CP, Doshmangir L, Doyle KE, Duraes AR, Ebrahimi Kalan M, Ebtehaj S, Edvardsson D, El Tantawi M, Elgendy IY, El-Jaafary SI, Elsharkawy A, Eshrati B, Eskandarieh S, Esmaeilnejad S, Esmaeilzadeh F, Esteghamati S, Faro A, Farzadfar F, Fattahi N, Feigin VL, Ferede TY, Fereshtehnejad SM, Fernandes E, Ferrara P, Filip I, Fischer F, Fisher JL, Foigt NA, Folayan MO, Fomenkov AA, Foroutan M, Fukumoto T, Gad MM, Gaidhane AM, Gallus S, Gebre T, Gebremedhin KB, Gebremeskel GG, Gebremeskel L, Gebreslassie AA, Gesesew HA, Ghadiri K, Ghafourifard M, Ghamari F, Ghashghaee A, Gilani SA, Gnedovskaya EV, Godinho MA, Golechha M, Goli S, Gona PN, Gopalani SV, Gorini G, Grivna M, Gubari MIM, Gugnani HC, Guimarães RA, Guo Y, Gupta R, Haagsma JA, Hafezi-Nejad N, Haile TG, Haj-Mirzaian A, Haj-Mirzaian A, Hall BJ, Hamadeh RR, Hamagharib Abdullah K, Hamidi S, Handiso DW, Hanif A, Hankey GJ, Haririan H, Haro JM, Hasaballah AI, Hashi A, Hassan A, Hassanipour S, Hassankhani H, Hayat K, Heidari-Soureshjani R, Herteliu C, Heydarpour F, Ho HC, Hole MK, Holla R, Hoogar P, Hosseini M, Hosseinzadeh M, Hostiuc M, Hostiuc S, Househ M, Hsairi M, Huda TM, Humayun A, Hussain R, Hwang BF, Iavicoli I, Ibitoye SE, Ilesanmi OS, Ilic IM, Ilic MD, Inbaraj LR, Intarut N, Iqbal U, Irvani SSN, Islam MM, Islam SMS, Iso H, Ivers RQ, Jahani MA, Jakovljevic M, Jalali A, Janodia MD, Javaheri T, Jeemon P, Jenabi E, Jha RP, Jha V, Ji JS, Jonas JB, Jones KM, Joukar F, Jozwiak JJ, Juliusson PB, Jürisson M, Kabir A, Kabir Z, Kalankesh LR, Kalhor R, Kamyari N, Kanchan T, Karch A, Karimi SE, Kaur S, Kayode GA, Keiyoro PN, Khalid N, Khammarnia M, Khan M, Khan MN, Khatab K, Khater MM, Khatib MN, Khayamzadeh M, Khazaie H, Khoja AT, Kieling C, Kim YE, Kim YJ, Kimokoti RW, Kisa A, Kisa S, Kivimäki M, Koolivand A, Kosen S, Koyanagi A, Krishan K, Kugbey N, Kumar GA, Kumar M, Kumar N, Kurmi OP, Kusuma D, La Vecchia C, Lacey B, Lal DK, Lalloo R, Lan Q, Landires I, Lansingh VC, Larsson AO, Lasrado S, Lassi ZS, Lauriola P, Lee PH, Lee SWH, Leigh J, Leonardi M, Leung J, Levi M, Lewycka S, Li B, Li MC, Li S, Lim LL, Lim SS, Liu X, Lorkowski S, Lotufo PA, Lunevicius R, Maddison R, Mahasha PW, Mahdavi MM, Mahmoudi M, Majeed A, Maleki A, Malekzadeh R, Malta DC, Mamun AA, Mansouri B, Mansournia MA, Martinez G, Martinez-Raga J, Martins-Melo FR, Mason-Jones AJ, Masoumi SZ, Mathur MR, Maulik PK, McGrath JJ, Mehndiratta MM, Mehri F, Memiah PTN, Mendoza W, Menezes RG, Mengesha EW, Meretoja A, Meretoja TJ, Mestrovic T, Miazgowski B, Miazgowski T, Michalek IM, Miller TR, Mini GK, Mirica A, Mirrakhimov EM, Mirzaei H, Mirzaei M, Moazen B, Mohammad DK, Mohammadi S, Mohammadian-Hafshejani A, Mohammadifard N, Mohammadpourhodki R, Mohammed S, Monasta L, Moradi G, Moradi-Lakeh M, Moradzadeh R, Moraga P, Morrison SD, Mosapour A, Mousavi Khaneghah A, Mueller UO, Muriithi MK, Murray CJL, Muthupandian S, Naderi M, Nagarajan AJ, Naghavi M, Naimzada MD, Nangia V, Nayak VC, Nazari J, Ndejjo R, Negoi I, Negoi RI, Netsere HB, Nguefack-Tsague G, Nguyen DN, Nguyen HLT, Nie J, Ningrum DNA, Nnaji CA, Nomura S, Noubiap JJ, Nowak C, Nuñez-Samudio V, Ogbo FA, Oghenetega OB, Oh IH, Oladnabi M, Olagunju AT, Olusanya BO, Olusanya JO, Omar Bali A, Omer MO, Onwujekwe OE, Ortiz A, Otoiu A, Otstavnov N, Otstavnov SS, Øverland S, Owolabi MO, P A M, Padubidri JR, Pakshir K, Palladino R, Pana A, Panda-Jonas S, Pandey A, Panelo CIA, Park EK, Patten SB, Peden AE, Pepito VCF, Peprah EK, Pereira J, Pesudovs K, Pham HQ, Phillips MR, Piradov MA, Pirsaheb M, Postma MJ, Pottoo FH, Pourjafar H, Pourshams A, Prada SI, Pupillo E, Quazi Syed Z, Rabiee MH, Rabiee N, Radfar A, Rafiee A, Raggi A, Rahim F, Rahimi-Movaghar V, Rahman MHU, Rahman MA, Ramezanzadeh K, Ranabhat CL, Rao SJ, Rashedi V, Rastogi P, Rathi P, Rawaf DL, Rawaf S, Rawal L, Rawassizadeh R, Renzaho AMN, Rezaei N, Rezaei N, Rezai MS, Riahi SM, Rickard J, Roever L, Ronfani L, Roth GA, Rubagotti E, Rumisha SF, Rwegerera GM, Sabour S, Sachdev PS, Saddik B, Sadeghi E, Saeedi Moghaddam S, Sagar R, Sahebkar A, Sahraian MA, Sajadi SM, Salem MR, Salimzadeh H, Samy AM, Sanabria J, Santric-Milicevic MM, Saraswathy SYI, Sarrafzadegan N, Sarveazad A, Sathish T, Sattin D, Saxena D, Saxena S, Schiavolin S, Schwebel DC, Schwendicke F, Senthilkumaran S, Sepanlou SG, Sha F, Shafaat O, Shahabi S, Shaheen AA, Shaikh MA, Shakiba S, Shamsi M, Shannawaz M, Sharafi K, Sheikh A, Sheikhbahaei S, Shetty BSK, Shi P, Shigematsu M, Shin JI, Shiri R, Shuval K, Siabani S, Sigfusdottir ID, Sigurvinsdottir R, Silva DAS, Silva JP, Simonetti B, Singh JA, Singh V, Sinke AH, Skryabin VY, Slater H, Smith EUR, Sobhiyeh MR, Sobngwi E, Soheili A, Somefun OD, Sorrie MB, Soyiri IN, Sreeramareddy CT, Stein DJ, Stokes MA, Sudaryanto A, Sultan I, Tabarés-Seisdedos R, Tabuchi T, Tadakamadla SK, Taherkhani A, Tamiru AT, Tareque MI, Thankappan KR, Thapar R, Thomas N, Titova MV, Tonelli M, Tovani-Palone MR, Tran BX, Travillian RS, Tsai AC, Tsatsakis A, Tudor Car L, Uddin R, Unim B, Unnikrishnan B, Upadhyay E, Vacante M, Valadan Tahbaz S, Valdez PR, Varughese S, Vasankari TJ, Venketasubramanian N, Villeneuve PJ, Violante FS, Vlassov V, Vos T, Vu GT, Waheed Y, Wamai RG, Wang Y, Wang Y, Wang YP, Westerman R, Wickramasinghe ND, Wu AM, Wu C, Yahyazadeh Jabbari SH, Yamagishi K, Yano Y, Yaya S, Yazdi-Feyzabadi V, Yeshitila YG, Yip P, Yonemoto N, Yoon SJ, Younis MZ, Yousefinezhadi T, Yu C, Yu Y, Yuce D, Zaidi SS, Zaman SB, Zamani M, Zamanian M, Zarafshan H, Zarei A, Zastrozhin MS, Zhang Y, Zhang ZJ, Zhao XJG, Zhu C, Patton GC, Viner RM. Global, regional, and national mortality among young people aged 10-24 years, 1950-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 2021; 398:1593-1618. [PMID: 34755628 PMCID: PMC8576274 DOI: 10.1016/s0140-6736(21)01546-4] [Citation(s) in RCA: 72] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2021] [Revised: 05/07/2021] [Accepted: 06/30/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Documentation of patterns and long-term trends in mortality in young people, which reflect huge changes in demographic and social determinants of adolescent health, enables identification of global investment priorities for this age group. We aimed to analyse data on the number of deaths, years of life lost, and mortality rates by sex and age group in people aged 10-24 years in 204 countries and territories from 1950 to 2019 by use of estimates from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. METHODS We report trends in estimated total numbers of deaths and mortality rate per 100 000 population in young people aged 10-24 years by age group (10-14 years, 15-19 years, and 20-24 years) and sex in 204 countries and territories between 1950 and 2019 for all causes, and between 1980 and 2019 by cause of death. We analyse variation in outcomes by region, age group, and sex, and compare annual rate of change in mortality in young people aged 10-24 years with that in children aged 0-9 years from 1990 to 2019. We then analyse the association between mortality in people aged 10-24 years and socioeconomic development using the GBD Socio-demographic Index (SDI), a composite measure based on average national educational attainment in people older than 15 years, total fertility rate in people younger than 25 years, and income per capita. We assess the association between SDI and all-cause mortality in 2019, and analyse the ratio of observed to expected mortality by SDI using the most recent available data release (2017). FINDINGS In 2019 there were 1·49 million deaths (95% uncertainty interval 1·39-1·59) worldwide in people aged 10-24 years, of which 61% occurred in males. 32·7% of all adolescent deaths were due to transport injuries, unintentional injuries, or interpersonal violence and conflict; 32·1% were due to communicable, nutritional, or maternal causes; 27·0% were due to non-communicable diseases; and 8·2% were due to self-harm. Since 1950, deaths in this age group decreased by 30·0% in females and 15·3% in males, and sex-based differences in mortality rate have widened in most regions of the world. Geographical variation has also increased, particularly in people aged 10-14 years. Since 1980, communicable and maternal causes of death have decreased sharply as a proportion of total deaths in most GBD super-regions, but remain some of the most common causes in sub-Saharan Africa and south Asia, where more than half of all adolescent deaths occur. Annual percentage decrease in all-cause mortality rate since 1990 in adolescents aged 15-19 years was 1·3% in males and 1·6% in females, almost half that of males aged 1-4 years (2·4%), and around a third less than in females aged 1-4 years (2·5%). The proportion of global deaths in people aged 0-24 years that occurred in people aged 10-24 years more than doubled between 1950 and 2019, from 9·5% to 21·6%. INTERPRETATION Variation in adolescent mortality between countries and by sex is widening, driven by poor progress in reducing deaths in males and older adolescents. Improving global adolescent mortality will require action to address the specific vulnerabilities of this age group, which are being overlooked. Furthermore, indirect effects of the COVID-19 pandemic are likely to jeopardise efforts to improve health outcomes including mortality in young people aged 10-24 years. There is an urgent need to respond to the changing global burden of adolescent mortality, address inequities where they occur, and improve the availability and quality of primary mortality data in this age group. FUNDING Bill & Melinda Gates Foundation.
Collapse
|
31
|
Shakil SS, Emmons-Bell S, Rutan C, Walchok J, Navi B, Sharma R, Sheth K, Roth GA, Elkind MSV. Stroke Among Patients Hospitalized With COVID-19: Results From the American Heart Association COVID-19 Cardiovascular Disease Registry. Stroke 2021; 53:800-807. [PMID: 34702063 PMCID: PMC8884133 DOI: 10.1161/strokeaha.121.035270] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Supplemental Digital Content is available in the text. Coronavirus disease 2019 (COVID-19) may be associated with increased risk for ischemic stroke. We present prevalence and characteristics of strokes in patients with laboratory-confirmed severe acute respiratory syndrome coronavirus-2 infection enrolled in the American Heart Association COVID-19 Cardiovascular Disease Registry.
Collapse
Affiliation(s)
- Saate S Shakil
- Division of Cardiology, University of Washington, Seattle. (S.S.S., G.A.R.)
| | - Sophia Emmons-Bell
- Institute for Health Metrics and Evaluation, University of Washington, Seattle. (S.E.-B., G.A.R.)
| | | | | | - Babak Navi
- Department of Neurology and Feil Family Brain and Mind Research Institute, Weill Cornell Medical College, New York City, NY (B.N.)
| | - Richa Sharma
- Department of Neurology, Yale University, New Haven, CT. (R.S., K.S.)
| | - Kevin Sheth
- Department of Neurology, Yale University, New Haven, CT. (R.S., K.S.).,Department of Neurosurgery, Yale University, New Haven, CT. (K.S.)
| | - Gregory A Roth
- Division of Cardiology, University of Washington, Seattle. (S.S.S., G.A.R.).,Institute for Health Metrics and Evaluation, University of Washington, Seattle. (S.E.-B., G.A.R.)
| | - Mitchell S V Elkind
- Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York City, NY. (M.S.V.E.).,Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City, NY. (M.S.V.E.)
| |
Collapse
|
32
|
Feigin VL, Stark BA, Johnson CO, Roth GA, Bisignano C, Abady GG, Abbasifard M, Abbasi-Kangevari M, Abd-Allah F, Abedi V, Abualhasan A, Abu-Rmeileh NME, Abushouk AI, Adebayo OM, Agarwal G, Agasthi P, Ahinkorah BO, Ahmad S, Ahmadi S, Ahmed Salih Y, Aji B, Akbarpour S, Akinyemi RO, Al Hamad H, Alahdab F, Alif SM, Alipour V, Aljunid SM, Almustanyir S, Al-Raddadi RM, Al-Shahi Salman R, Alvis-Guzman N, Ancuceanu R, Anderlini D, Anderson JA, Ansar A, Antonazzo IC, Arabloo J, Ärnlöv J, Artanti KD, Aryan Z, Asgari S, Ashraf T, Athar M, Atreya A, Ausloos M, Baig AA, Baltatu OC, Banach M, Barboza MA, Barker-Collo SL, Bärnighausen TW, Barone MTU, Basu S, Bazmandegan G, Beghi E, Beheshti M, Béjot Y, Bell AW, Bennett DA, Bensenor IM, Bezabhe WM, Bezabih YM, Bhagavathula AS, Bhardwaj P, Bhattacharyya K, Bijani A, Bikbov B, Birhanu MM, Boloor A, Bonny A, Brauer M, Brenner H, Bryazka D, Butt ZA, Caetano dos Santos FL, Campos-Nonato IR, Cantu-Brito C, Carrero JJ, Castañeda-Orjuela CA, Catapano AL, Chakraborty PA, Charan J, Choudhari SG, Chowdhury EK, Chu DT, Chung SC, Colozza D, Costa VM, Costanzo S, Criqui MH, Dadras O, Dagnew B, Dai X, Dalal K, Damasceno AAM, D'Amico E, Dandona L, Dandona R, Darega Gela J, Davletov K, De la Cruz-Góngora V, Desai R, Dhamnetiya D, Dharmaratne SD, Dhimal ML, Dhimal M, Diaz D, Dichgans M, Dokova K, Doshi R, Douiri A, Duncan BB, Eftekharzadeh S, Ekholuenetale M, El Nahas N, Elgendy IY, Elhadi M, El-Jaafary SI, Endres M, Endries AY, Erku DA, Faraon EJA, Farooque U, Farzadfar F, Feroze AH, Filip I, Fischer F, Flood D, Gad MM, Gaidhane S, Ghanei Gheshlagh R, Ghashghaee A, Ghith N, Ghozali G, Ghozy S, Gialluisi A, Giampaoli S, Gilani SA, Gill PS, Gnedovskaya EV, Golechha M, Goulart AC, Guo Y, Gupta R, Gupta VB, Gupta VK, Gyanwali P, Hafezi-Nejad N, Hamidi S, Hanif A, Hankey GJ, Hargono A, Hashi A, Hassan TS, Hassen HY, Havmoeller RJ, Hay SI, Hayat K, Hegazy MI, Herteliu C, Holla R, Hostiuc S, Househ M, Huang J, Humayun A, Hwang BF, Iacoviello L, Iavicoli I, Ibitoye SE, Ilesanmi OS, Ilic IM, Ilic MD, Iqbal U, Irvani SSN, Islam SMS, Ismail NE, Iso H, Isola G, Iwagami M, Jacob L, Jain V, Jang SI, Jayapal SK, Jayaram S, Jayawardena R, Jeemon P, Jha RP, Johnson WD, Jonas JB, Joseph N, Jozwiak JJ, Jürisson M, Kalani R, Kalhor R, Kalkonde Y, Kamath A, Kamiab Z, Kanchan T, Kandel H, Karch A, Katoto PDMC, Kayode GA, Keshavarz P, Khader YS, Khan EA, Khan IA, Khan M, Khan MAB, Khatib MN, Khubchandani J, Kim GR, Kim MS, Kim YJ, Kisa A, Kisa S, Kivimäki M, Kolte D, Koolivand A, Koulmane Laxminarayana SL, Koyanagi A, Krishan K, Krishnamoorthy V, Krishnamurthi RV, Kumar GA, Kusuma D, La Vecchia C, Lacey B, Lak HM, Lallukka T, Lasrado S, Lavados PM, Leonardi M, Li B, Li S, Lin H, Lin RT, Liu X, Lo WD, Lorkowski S, Lucchetti G, Lutzky Saute R, Magdy Abd El Razek H, Magnani FG, Mahajan PB, Majeed A, Makki A, Malekzadeh R, Malik AA, Manafi N, Mansournia MA, Mantovani LG, Martini S, Mazzaglia G, Mehndiratta MM, Menezes RG, Meretoja A, Mersha AG, Miao Jonasson J, Miazgowski B, Miazgowski T, Michalek IM, Mirrakhimov EM, Mohammad Y, Mohammadian-Hafshejani A, Mohammed S, Mokdad AH, Mokhayeri Y, Molokhia M, Moni MA, Montasir AA, Moradzadeh R, Morawska L, Morze J, Muruet W, Musa KI, Nagarajan AJ, Naghavi M, Narasimha Swamy S, Nascimento BR, Negoi RI, Neupane Kandel S, Nguyen TH, Norrving B, Noubiap JJ, Nwatah VE, Oancea B, Odukoya OO, Olagunju AT, Orru H, Owolabi MO, Padubidri JR, Pana A, Parekh T, Park EC, Pashazadeh Kan F, Pathak M, Peres MFP, Perianayagam A, Pham TM, Piradov MA, Podder V, Polinder S, Postma MJ, Pourshams A, Radfar A, Rafiei A, Raggi A, Rahim F, Rahimi-Movaghar V, Rahman M, Rahman MA, Rahmani AM, Rajai N, Ranasinghe P, Rao CR, Rao SJ, Rathi P, Rawaf DL, Rawaf S, Reitsma MB, Renjith V, Renzaho AMN, Rezapour A, Rodriguez JAB, Roever L, Romoli M, Rynkiewicz A, Sacco S, Sadeghi M, Saeedi Moghaddam S, Sahebkar A, Saif-Ur-Rahman KM, Salah R, Samaei M, Samy AM, Santos IS, Santric-Milicevic MM, Sarrafzadegan N, Sathian B, Sattin D, Schiavolin S, Schlaich MP, Schmidt MI, Schutte AE, Sepanlou SG, Seylani A, Sha F, Shahabi S, Shaikh MA, Shannawaz M, Shawon MSR, Sheikh A, Sheikhbahaei S, Shibuya K, Siabani S, Silva DAS, Singh JA, Singh JK, Skryabin VY, Skryabina AA, Sobaih BH, Stortecky S, Stranges S, Tadesse EG, Tarigan IU, Temsah MH, Teuschl Y, Thrift AG, Tonelli M, Tovani-Palone MR, Tran BX, Tripathi M, Tsegaye GW, Ullah A, Unim B, Unnikrishnan B, Vakilian A, Valadan Tahbaz S, Vasankari TJ, Venketasubramanian N, Vervoort D, Vo B, Volovici V, Vosoughi K, Vu GT, Vu LG, Wafa HA, Waheed Y, Wang Y, Wijeratne T, Winkler AS, Wolfe CDA, Woodward M, Wu JH, Wulf Hanson S, Xu X, Yadav L, Yadollahpour A, Yahyazadeh Jabbari SH, Yamagishi K, Yatsuya H, Yonemoto N, Yu C, Yunusa I, Zaman MS, Zaman SB, Zamanian M, Zand R, Zandifar A, Zastrozhin MS, Zastrozhina A, Zhang Y, Zhang ZJ, Zhong C, Zuniga YMH, Murray CJL. Global, regional, and national burden of stroke and its risk factors, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Neurol 2021; 20:795-820. [PMID: 34487721 PMCID: PMC8443449 DOI: 10.1016/s1474-4422(21)00252-0] [Citation(s) in RCA: 1651] [Impact Index Per Article: 550.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 07/01/2021] [Accepted: 07/19/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Regularly updated data on stroke and its pathological types, including data on their incidence, prevalence, mortality, disability, risk factors, and epidemiological trends, are important for evidence-based stroke care planning and resource allocation. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) aims to provide a standardised and comprehensive measurement of these metrics at global, regional, and national levels. METHODS We applied GBD 2019 analytical tools to calculate stroke incidence, prevalence, mortality, disability-adjusted life-years (DALYs), and the population attributable fraction (PAF) of DALYs (with corresponding 95% uncertainty intervals [UIs]) associated with 19 risk factors, for 204 countries and territories from 1990 to 2019. These estimates were provided for ischaemic stroke, intracerebral haemorrhage, subarachnoid haemorrhage, and all strokes combined, and stratified by sex, age group, and World Bank country income level. FINDINGS In 2019, there were 12·2 million (95% UI 11·0-13·6) incident cases of stroke, 101 million (93·2-111) prevalent cases of stroke, 143 million (133-153) DALYs due to stroke, and 6·55 million (6·00-7·02) deaths from stroke. Globally, stroke remained the second-leading cause of death (11·6% [10·8-12·2] of total deaths) and the third-leading cause of death and disability combined (5·7% [5·1-6·2] of total DALYs) in 2019. From 1990 to 2019, the absolute number of incident strokes increased by 70·0% (67·0-73·0), prevalent strokes increased by 85·0% (83·0-88·0), deaths from stroke increased by 43·0% (31·0-55·0), and DALYs due to stroke increased by 32·0% (22·0-42·0). During the same period, age-standardised rates of stroke incidence decreased by 17·0% (15·0-18·0), mortality decreased by 36·0% (31·0-42·0), prevalence decreased by 6·0% (5·0-7·0), and DALYs decreased by 36·0% (31·0-42·0). However, among people younger than 70 years, prevalence rates increased by 22·0% (21·0-24·0) and incidence rates increased by 15·0% (12·0-18·0). In 2019, the age-standardised stroke-related mortality rate was 3·6 (3·5-3·8) times higher in the World Bank low-income group than in the World Bank high-income group, and the age-standardised stroke-related DALY rate was 3·7 (3·5-3·9) times higher in the low-income group than the high-income group. Ischaemic stroke constituted 62·4% of all incident strokes in 2019 (7·63 million [6·57-8·96]), while intracerebral haemorrhage constituted 27·9% (3·41 million [2·97-3·91]) and subarachnoid haemorrhage constituted 9·7% (1·18 million [1·01-1·39]). In 2019, the five leading risk factors for stroke were high systolic blood pressure (contributing to 79·6 million [67·7-90·8] DALYs or 55·5% [48·2-62·0] of total stroke DALYs), high body-mass index (34·9 million [22·3-48·6] DALYs or 24·3% [15·7-33·2]), high fasting plasma glucose (28·9 million [19·8-41·5] DALYs or 20·2% [13·8-29·1]), ambient particulate matter pollution (28·7 million [23·4-33·4] DALYs or 20·1% [16·6-23·0]), and smoking (25·3 million [22·6-28·2] DALYs or 17·6% [16·4-19·0]). INTERPRETATION The annual number of strokes and deaths due to stroke increased substantially from 1990 to 2019, despite substantial reductions in age-standardised rates, particularly among people older than 70 years. The highest age-standardised stroke-related mortality and DALY rates were in the World Bank low-income group. The fastest-growing risk factor for stroke between 1990 and 2019 was high body-mass index. Without urgent implementation of effective primary prevention strategies, the stroke burden will probably continue to grow across the world, particularly in low-income countries. FUNDING Bill & Melinda Gates Foundation.
Collapse
|
33
|
Dieleman JL, Chen C, Crosby SW, Liu A, McCracken D, Pollock IA, Sahu M, Tsakalos G, Dwyer-Lindgren L, Haakenstad A, Mokdad AH, Roth GA, Scott KW, Murray CJL. US Health Care Spending by Race and Ethnicity, 2002-2016. JAMA 2021; 326:649-659. [PMID: 34402829 PMCID: PMC8371574 DOI: 10.1001/jama.2021.9937] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 06/04/2021] [Indexed: 12/15/2022]
Abstract
Importance Measuring health care spending by race and ethnicity is important for understanding patterns in utilization and treatment. Objective To estimate, identify, and account for differences in health care spending by race and ethnicity from 2002 through 2016 in the US. Design, Setting, and Participants This exploratory study included data from 7.3 million health system visits, admissions, or prescriptions captured in the Medical Expenditure Panel Survey (2002-2016) and the Medicare Current Beneficiary Survey (2002-2012), which were combined with the insured population and notified case estimates from the National Health Interview Survey (2002; 2016) and health care spending estimates from the Disease Expenditure project (1996-2016). Exposure Six mutually exclusive self-reported race and ethnicity groups. Main Outcomes and Measures Total and age-standardized health care spending per person by race and ethnicity for each year from 2002 through 2016 by type of care. Health care spending per notified case by race and ethnicity for key diseases in 2016. Differences in health care spending across race and ethnicity groups were decomposed into differences in utilization rate vs differences in price and intensity of care. Results In 2016, an estimated $2.4 trillion (95% uncertainty interval [UI], $2.4 trillion-$2.4 trillion) was spent on health care across the 6 types of care included in this study. The estimated age-standardized total health care spending per person in 2016 was $7649 (95% UI, $6129-$8814) for American Indian and Alaska Native (non-Hispanic) individuals; $4692 (95% UI, $4068-$5202) for Asian, Native Hawaiian, and Pacific Islander (non-Hispanic) individuals; $7361 (95% UI, $6917-$7797) for Black (non-Hispanic) individuals; $6025 (95% UI, $5703-$6373) for Hispanic individuals; $9276 (95% UI, $8066-$10 601) for individuals categorized as multiple races (non-Hispanic); and $8141 (95% UI, $8038-$8258) for White (non-Hispanic) individuals, who accounted for an estimated 72% (95% UI, 71%-73%) of health care spending. After adjusting for population size and age, White individuals received an estimated 15% (95% UI, 13%-17%; P < .001) more spending on ambulatory care than the all-population mean. Black (non-Hispanic) individuals received an estimated 26% (95% UI, 19%-32%; P < .001) less spending than the all-population mean on ambulatory care but received 19% (95% UI, 3%-32%; P = .02) more on inpatient and 12% (95% UI, 4%-24%; P = .04) more on emergency department care. Hispanic individuals received an estimated 33% (95% UI, 26%-37%; P < .001) less spending per person on ambulatory care than the all-population mean. Asian, Native Hawaiian, and Pacific Islander (non-Hispanic) individuals received less spending than the all-population mean on all types of care except dental (all P < .001), while American Indian and Alaska Native (non-Hispanic) individuals had more spending on emergency department care than the all-population mean (estimated 90% more; 95% UI, 11%-165%; P = .04), and multiple-race (non-Hispanic) individuals had more spending on emergency department care than the all-population mean (estimated 40% more; 95% UI, 19%-63%; P = .006). All 18 of the statistically significant race and ethnicity spending differences by type of care corresponded with differences in utilization. These differences persisted when controlling for underlying disease burden. Conclusions and Relevance In the US from 2002 through 2016, health care spending varied by race and ethnicity across different types of care even after adjusting for age and health conditions. Further research is needed to determine current health care spending by race and ethnicity, including spending related to the COVID-19 pandemic.
Collapse
Affiliation(s)
| | - Carina Chen
- Institute for Health Metrics and Evaluation, Seattle, Washington
| | - Sawyer W. Crosby
- Institute for Health Metrics and Evaluation, Seattle, Washington
| | - Angela Liu
- Johns Hopkins University, Baltimore, Maryland
| | - Darrah McCracken
- Institute for Health Metrics and Evaluation, Seattle, Washington
| | - Ian A. Pollock
- Institute for Health Metrics and Evaluation, Seattle, Washington
| | - Maitreyi Sahu
- Institute for Health Metrics and Evaluation, Seattle, Washington
| | - Golsum Tsakalos
- Institute for Health Metrics and Evaluation, Seattle, Washington
| | | | - Annie Haakenstad
- Institute for Health Metrics and Evaluation, Seattle, Washington
| | - Ali H. Mokdad
- Institute for Health Metrics and Evaluation, Seattle, Washington
| | - Gregory A. Roth
- Institute for Health Metrics and Evaluation, Seattle, Washington
| | | | | |
Collapse
|
34
|
Ali S, Misganaw A, Worku A, Destaw Z, Negash L, Bekele A, Briant PS, Johnson CO, Alam T, Odell C, Roth GA, Naghavi M, Abate E, Mirkuzie AH. The burden of cardiovascular diseases in Ethiopia from 1990 to 2017: evidence from the Global Burden of Disease Study. Int Health 2021; 13:318-326. [PMID: 32945840 PMCID: PMC8253991 DOI: 10.1093/inthealth/ihaa069] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Revised: 07/14/2020] [Accepted: 08/29/2020] [Indexed: 12/11/2022] Open
Abstract
In Ethiopia, evidence on the national burden of cardiovascular diseases (CVDs) is limited. To address this gap, this systematic analysis estimated the burden of CVDs in Ethiopia using the Global Burden of Disease (GBD) 2017 study data. The age-standardized CVD prevalence, disability-adjusted life years (DALYs) and mortality rates in Ethiopia were 5534 (95% uncertainty interval [UI] 5310.09 - 5774.0), 3549.6 (95% UI 3229.0 - 3911.9) and 182.63 (95% UI 165.49 - 203.9) per 100 000 population, respectively. Compared with 1990, the age-standardized CVD prevalence rate in 2017 showed no change. But significant reductions were observed in CVD mortality (54.7%), CVD DALYs (57.7%) and all-cause mortality (53.4%). The top three prevalent CVDs were ischaemic heart disease, rheumatic heart disease and stroke in descending order. The reduction in the mortality rate due to CVDs is slower than for communicable, maternal, neonatal and nutritional disease mortalities. As a result, CVDs are the leading cause of mortality in Ethiopia. These findings urge Ethiopia to consider CVDs as a priority public health problem.
Collapse
Affiliation(s)
- Solomon Ali
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia.,Saint Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia
| | - Awoke Misganaw
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia.,Institute for Health Metrics and Evaluation, Department of Health Metrics Sciences, University of Washington, Seattle, WA 98121, USA
| | - Asnake Worku
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Zelalem Destaw
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Legesse Negash
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Abebe Bekele
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Paul S Briant
- Institute for Health Metrics and Evaluation, Department of Health Metrics Sciences, University of Washington, Seattle, WA 98121, USA
| | - Catherine O Johnson
- Institute for Health Metrics and Evaluation, Department of Health Metrics Sciences, University of Washington, Seattle, WA 98121, USA
| | - Tahiya Alam
- Institute for Health Metrics and Evaluation, Department of Health Metrics Sciences, University of Washington, Seattle, WA 98121, USA
| | - Chris Odell
- Institute for Health Metrics and Evaluation, Department of Health Metrics Sciences, University of Washington, Seattle, WA 98121, USA
| | - Gregory A Roth
- Institute for Health Metrics and Evaluation, Department of Health Metrics Sciences, University of Washington, Seattle, WA 98121, USA
| | - Mohsen Naghavi
- Institute for Health Metrics and Evaluation, Department of Health Metrics Sciences, University of Washington, Seattle, WA 98121, USA
| | - Ebba Abate
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Alemnesh H Mirkuzie
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia.,University of Bergen, Norway
| |
Collapse
|
35
|
Singh G, Sharma M, Kumar GA, Rao NG, Prasad K, Mathur P, Pandian JD, Steinmetz JD, Biswas A, Pal PK, Prakash S, Sylaja PN, Nichols E, Dua T, Kaur H, Alladi S, Agarwal V, Aggarwal S, Ambekar A, Bagepally BS, Banerjee TK, Bender RG, Bhagwat S, Bhargava S, Bhatia R, Chakma JK, Chowdhary N, Dey S, Dirac MA, Feigin VL, Ganguli A, Golechha MJ, Gourie-Devi M, Goyal V, Gupta G, Gupta PC, Gupta R, Gururaj G, Hemalatha R, Jeemon P, Johnson CO, Joshi P, Kant R, Kataki AC, Khurana D, Krishnankutty RP, Kyu HH, Lim SS, Lodha R, Ma R, Malhotra R, Malhotra R, Mathai M, Mehrotra R, Misra UK, Mutreja P, Naghavi M, Naik N, Nguyen M, Pandey A, Parmar P, Perianayagam A, Prabhakaran D, Rath GK, Reinig N, Roth GA, Sagar R, Sankar MJ, Shaji KS, Sharma RS, Sharma S, Singh R, Srivastava MVP, Stark BA, Tandon N, Thakur JS, ThekkePurakkal AS, Thomas SV, Tripathi M, Vongpradith A, Wunrow HY, Xavier D, Shukla DK, Reddy KS, Panda S, Dandona R, Murray CJL, Vos T, Dhaliwal RS, Dandona L. The burden of neurological disorders across the states of India: the Global Burden of Disease Study 1990-2019. Lancet Glob Health 2021; 9:e1129-e1144. [PMID: 34273302 PMCID: PMC8295043 DOI: 10.1016/s2214-109x(21)00164-9] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 02/18/2021] [Accepted: 03/08/2021] [Indexed: 12/12/2022]
Abstract
BACKGROUND A systematic understanding of the burden of neurological disorders at the subnational level is not readily available for India. We present a comprehensive analysis of the disease burden and trends of neurological disorders at the state level in India. METHODS Using all accessible data from multiple sources, we estimated the prevalence or incidence and disability-adjusted life-years (DALYs) for neurological disorders from 1990 to 2019 for all states of India as part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2019. We assessed the contribution of each neurological disorder to deaths and DALYs in India in 2019, their trends in prevalence or incidence and DALY rates over time, and heterogeneity between the states of India. We also assessed the Pearson correlation coefficient between Socio-demographic Index (SDI) of the states and the prevalence or incidence and DALY rates of each neurological disorder. Additionally, we estimated the contribution of known risk factors to DALYs from neurological disorders. We calculated 95% uncertainty intervals (UIs) for the mean estimates. FINDINGS The contribution of non-communicable neurological disorders to total DALYs in India doubled from 4·0% (95% UI 3·2-5·0) in 1990 to 8·2% (6·6-10·2) in 2019, and the contribution of injury-related neurological disorders increased from 0·2% (0·2-0·3) to 0·6% (0·5-0·7). Conversely, the contribution of communicable neurological disorders decreased from 4·1% (3·5-4·8) to 1·1% (0·9-1·5) during the same period. In 2019, the largest contributors to the total neurological disorder DALYs in India were stroke (37·9% [29·9-46·1]), headache disorders (17·5% [3·6-32·5]), epilepsy (11·3% [9·0-14·3]), cerebral palsy (5·7% [4·2-7·7]), and encephalitis (5·3% [3·7-8·9]). The crude DALY rate of several neurological disorders had considerable heterogeneity between the states in 2019, with the highest variation for tetanus (93·2 times), meningitis (8·3 times), and stroke (5·5 times). SDI of the states had a moderate significant negative correlation with communicable neurological disorder DALY rate and a moderate significant positive correlation with injury-related neurological disorder DALY rate in 2019. For most of the non-communicable neurological disorders, there was an increase in prevalence or incidence from 1990 to 2019. Substantial decreases were evident in the incidence and DALY rates of communicable neurological disorders during the same period. Migraine and multiple sclerosis were more prevalent among females than males and traumatic brain injuries were more common among males than females in 2019. Communicable diseases contributed to the majority of total neurological disorder DALYs in children younger than 5 years, and non-communicable neurological disorders were the highest contributor in all other age groups. In 2019, the leading risk factors contributing to DALYs due to non-communicable neurological disorders in India included high systolic blood pressure, air pollution, dietary risks, high fasting plasma glucose, and high body-mass index. For communicable disorders, the identified risk factors with modest contributions to DALYs were low birthweight and short gestation and air pollution. INTERPRETATION The increasing contribution of non-communicable and injury-related neurological disorders to the overall disease burden in India, and the substantial state-level variation in the burden of many neurological disorders highlight the need for state-specific health system responses to address the gaps in neurology services related to awareness, early identification, treatment, and rehabilitation. FUNDING Bill & Melinda Gates Foundation; and Indian Council of Medical Research, Department of Health Research, Ministry of Health and Family Welfare, Government of India.
Collapse
|
36
|
Shakil SS, Johnson CO, Roth GA, Razo CA. Abstract 062: Global Patterns Of Mean Systolic Blood Pressure Over Three Decades: Results From The Global Burden Of Disease 2019 Study. Circulation 2021. [DOI: 10.1161/circ.143.suppl_1.062] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background:
Atherosclerotic cardiovascular disease and its risk factors are increasing globally. We estimated global and regional mean levels of systolic blood pressure (SBP) for the Global Burden of Disease (GBD) 2019 study.
Methods:
Mean SBP in mm Hg was estimated by age (adults >25 years), sex, location and year using all available population-based health surveys and studies that systematically measured brachial blood pressure. Estimates were produced using a Bayesian statistical model, spatiotemporal Gaussian process regression, which produces a smoothed time series from 1990 to 2019, borrowing strength over space and time, then aggregates to GBD regions. Each point in the figure represents age- and sex-specific mean SBP for one of 21 GBD regions, color coded by the 7 GBD super regions; black triangles denote global mean SBP. We report 95% uncertainty intervals in brackets.
Results:
Globally, mean SBP increased with age, peaking at 75-84 years, followed by a plateau and slight decline amongst oldest adults. In adults >60 in 1990 and >70 in 2019, females had higher SBP than males globally; this difference declined over time. In 1990, mean SBP was highest among females in Central Europe aged 60-64 (150 [147- 154]) and High-income Asia Pacific aged 80-84 (150 [147 - 152]), and in males aged 80-84 in Western Europe (150 [147-152]) and High-income Asia Pacific (148 [146 - 150]). By 2019, mean SBP was highest among adults aged 80-84 in Western and Southern Sub-Saharan Africa for both females (150 [136 - 164]; 149 [142 - 156], respectively), and males (145 [140 - 150]; 144 [136 - 153], respectively).
Conclusions:
SBP increased globally with age and was higher in older women than men. The 5-year age group with highest estimated SBP shifted over time from parts of Europe and High-income Asia Pacific to parts of Sub-Saharan Africa. Elevated SBP remains a major health risk for the world’s population, suggesting a need for increased investments in understanding its etiologies and how to treat and eventually prevent it as a cause of disease.
Collapse
|
37
|
Roth GA, Emmons-Bell S, Alger HM, Bradley SM, Das SR, de Lemos JA, Gakidou E, Elkind MSV, Hay S, Hall JL, Johnson CO, Morrow DA, Rodriguez F, Rutan C, Shakil S, Sorensen R, Stevens L, Wang TY, Walchok J, Williams J, Murray C. Trends in Patient Characteristics and COVID-19 In-Hospital Mortality in the United States During the COVID-19 Pandemic. JAMA Netw Open 2021; 4:e218828. [PMID: 33938933 PMCID: PMC8094014 DOI: 10.1001/jamanetworkopen.2021.8828] [Citation(s) in RCA: 93] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
IMPORTANCE In-hospital mortality rates from COVID-19 are high but appear to be decreasing for selected locations in the United States. It is not known whether this is because of changes in the characteristics of patients being admitted. OBJECTIVE To describe changing in-hospital mortality rates over time after accounting for individual patient characteristics. DESIGN, SETTING, AND PARTICIPANTS This was a retrospective cohort study of 20 736 adults with a diagnosis of COVID-19 who were included in the US American Heart Association COVID-19 Cardiovascular Disease Registry and admitted to 107 acute care hospitals in 31 states from March through November 2020. A multiple mixed-effects logistic regression was then used to estimate the odds of in-hospital death adjusted for patient age, sex, body mass index, and medical history as well as vital signs, use of supplemental oxygen, presence of pulmonary infiltrates at admission, and hospital site. MAIN OUTCOMES AND MEASURES In-hospital death adjusted for exposures for 4 periods in 2020. RESULTS The registry included 20 736 patients hospitalized with COVID-19 from March through November 2020 (9524 women [45.9%]; mean [SD] age, 61.2 [17.9] years); 3271 patients (15.8%) died in the hospital. Mortality rates were 19.1% in March and April, 11.9% in May and June, 11.0% in July and August, and 10.8% in September through November. Compared with March and April, the adjusted odds ratios for in-hospital death were significantly lower in May and June (odds ratio, 0.66; 95% CI, 0.58-0.76; P < .001), July and August (odds ratio, 0.58; 95% CI, 0.49-0.69; P < .001), and September through November (odds ratio, 0.59; 95% CI, 0.47-0.73). CONCLUSIONS AND RELEVANCE In this cohort study, high rates of in-hospital COVID-19 mortality among registry patients in March and April 2020 decreased by more than one-third by June and remained near that rate through November. This difference in mortality rates between the months of March and April and later months persisted even after adjusting for age, sex, medical history, and COVID-19 disease severity and did not appear to be associated with changes in the characteristics of patients being admitted.
Collapse
Affiliation(s)
- Gregory A. Roth
- Division of Cardiology, Department of Medicine, University of Washington, Seattle
| | - Sophia Emmons-Bell
- Division of Cardiology, Department of Medicine, University of Washington, Seattle
| | | | - Steven M. Bradley
- Minneapolis Heart Institute, Minneapolis, Minnesota
- Minneapolis Heart Institute Foundation, Minneapolis, Minnesota
- Associate Editor, JAMA Network Open
| | - Sandeep R. Das
- Cardiology Division, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas
- Parkland Health and Hospital System, Dallas, Texas
| | - James A. de Lemos
- Cardiology Division, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas
- Parkland Health and Hospital System, Dallas, Texas
| | - Emmanuela Gakidou
- Division of Cardiology, Department of Medicine, University of Washington, Seattle
| | - Mitchell S. V. Elkind
- Department of Neurology, Vagelos College of Physicians and Surgeons, New York, New York
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - Simon Hay
- Division of Cardiology, Department of Medicine, University of Washington, Seattle
| | - Jennifer L. Hall
- American Heart Association, Dallas, Texas
- University of Minnesota, Minneapolis
| | - Catherine O. Johnson
- Division of Cardiology, Department of Medicine, University of Washington, Seattle
| | - David A. Morrow
- Cardiovascular Division, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Fatima Rodriguez
- Cardiovascular Institute, Division of Cardiovascular Medicine, Stanford University, Stanford, California
| | | | - Saate Shakil
- Division of Cardiology, Department of Medicine, University of Washington, Seattle
| | - Reed Sorensen
- Division of Cardiology, Department of Medicine, University of Washington, Seattle
| | - Laura Stevens
- American Heart Association, Dallas, Texas
- University of Colorado Anschutz Medical Campus, Aurora
| | - Tracy Y. Wang
- Duke Clinical Research Institute, Durham, North Carolina
| | | | | | - Christopher Murray
- Division of Cardiology, Department of Medicine, University of Washington, Seattle
| |
Collapse
|
38
|
Birger M, Kaldjian AS, Roth GA, Moran AE, Dieleman JL, Bellows BK. Spending on Cardiovascular Disease and Cardiovascular Risk Factors in the United States: 1996 to 2016. Circulation 2021; 144:271-282. [PMID: 33926203 DOI: 10.1161/circulationaha.120.053216] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
BACKGROUND Spending on cardiovascular disease and cardiovascular risk factors (cardiovascular spending) accounts for a significant portion of overall US health care spending. Our objective was to describe US adult cardiovascular spending patterns in 2016, changes from 1996 to 2016, and factors associated with changes over time. METHODS We extracted information on adult cardiovascular spending from the Institute for Health Metrics and Evaluation's disease expenditure project, which combines data on insurance claims, emergency department and ambulatory care visits, inpatient and nursing care facility stays, and drug prescriptions to estimate >85% of all US health care spending. Cardiovascular spending (2016 US dollars) was stratified by age, sex, type of care, payer, and cardiovascular cause. Time trend and decomposition analyses quantified contributions of epidemiology, service price and intensity (spending per unit of utilization, eg, spending per inpatient bed-day), and population growth and aging to the increase in cardiovascular spending from 1996 to 2016. RESULTS Adult cardiovascular spending increased from $212 billion in 1996 to $320 billion in 2016, a period when the US population increased by >52 million people, and median age increased from 33.2 to 36.9 years. Over this period, public insurance was responsible for the majority of cardiovascular spending (54%), followed by private insurance (37%) and out-of-pocket spending (9%). Health services for ischemic heart disease ($80 billion) and hypertension ($71 billion) led to the most spending in 2016. Increased spending between 1996 and 2016 was primarily driven by treatment of hypertension, hyperlipidemia, and atrial fibrillation/flutter, for which spending rose by $42 billion, $18 billion, and $16 billion, respectively. Increasing service price and intensity alone were associated with a 51%, or $88 billion, cardiovascular spending increase from 1996 to 2016, whereas changes in disease prevalence were associated with a 37%, or $36 billion, spending reduction over the same period, after taking into account population growth and population aging. CONCLUSIONS US adult cardiovascular spending increased by >$100 billion from 1996 to 2016. Policies tailored to control service price and intensity and preferentially reimburse higher quality care could help counteract future spending increases caused by population aging and growth.
Collapse
Affiliation(s)
- Maxwell Birger
- Columbia University Irving Medical Center, New York (M.B., A.E.M., B.K.B.).,University of Washington, Seattle (M.B., G.A.R.)
| | - Alexander S Kaldjian
- Institute for Health Metrics and Evaluation, Seattle, WA (A.S.K., G.A.R., J.L.D.).,Bluesquare, Brussels, Belgium (A.S.K.)
| | - Gregory A Roth
- University of Washington, Seattle (M.B., G.A.R.).,Institute for Health Metrics and Evaluation, Seattle, WA (A.S.K., G.A.R., J.L.D.)
| | - Andrew E Moran
- Columbia University Irving Medical Center, New York (M.B., A.E.M., B.K.B.)
| | - Joseph L Dieleman
- Institute for Health Metrics and Evaluation, Seattle, WA (A.S.K., G.A.R., J.L.D.)
| | - Brandon K Bellows
- Columbia University Irving Medical Center, New York (M.B., A.E.M., B.K.B.)
| |
Collapse
|
39
|
Affiliation(s)
| | - George A Mensah
- National Heart, Lung, and Blood Institute (NHLBI), Bethesda, Maryland, USA.
| | - Valentin Fuster
- Icahn School of Medicine at Mount Sinai, New York, New York, USA; Centro Nacional de Investigaciones Cardiovasculares, Madrid, Spain
| |
Collapse
|
40
|
Virani SS, Alonso A, Aparicio HJ, Benjamin EJ, Bittencourt MS, Callaway CW, Carson AP, Chamberlain AM, Cheng S, Delling FN, Elkind MSV, Evenson KR, Ferguson JF, Gupta DK, Khan SS, Kissela BM, Knutson KL, Lee CD, Lewis TT, Liu J, Loop MS, Lutsey PL, Ma J, Mackey J, Martin SS, Matchar DB, Mussolino ME, Navaneethan SD, Perak AM, Roth GA, Samad Z, Satou GM, Schroeder EB, Shah SH, Shay CM, Stokes A, VanWagner LB, Wang NY, Tsao CW. Heart Disease and Stroke Statistics-2021 Update: A Report From the American Heart Association. Circulation 2021; 143:e254-e743. [PMID: 33501848 DOI: 10.1161/cir.0000000000000950] [Citation(s) in RCA: 2900] [Impact Index Per Article: 966.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2021 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population, an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, the global burden of cardiovascular disease, and further evidence-based approaches to changing behaviors related to cardiovascular disease. RESULTS Each of the 27 chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policy makers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
Collapse
|
41
|
Feigin VL, Vos T, Alahdab F, Amit AML, Bärnighausen TW, Beghi E, Beheshti M, Chavan PP, Criqui MH, Desai R, Dhamminda Dharmaratne S, Dorsey ER, Wilder Eagan A, Elgendy IY, Filip I, Giampaoli S, Giussani G, Hafezi-Nejad N, Hole MK, Ikeda T, Owens Johnson C, Kalani R, Khatab K, Khubchandani J, Kim D, Koroshetz WJ, Krishnamoorthy V, Krishnamurthi RV, Liu X, Lo WD, Logroscino G, Mensah GA, Miller TR, Mohammed S, Mokdad AH, Moradi-Lakeh M, Morrison SD, Shivamurthy VKN, Naghavi M, Nichols E, Norrving B, Odell CM, Pupillo E, Radfar A, Roth GA, Shafieesabet A, Sheikh A, Sheikhbahaei S, Shin JI, Singh JA, Steiner TJ, Stovner LJ, Wallin MT, Weiss J, Wu C, Zunt JR, Adelson JD, Murray CJL. Burden of Neurological Disorders Across the US From 1990-2017: A Global Burden of Disease Study. JAMA Neurol 2021; 78:165-176. [PMID: 33136137 PMCID: PMC7607495 DOI: 10.1001/jamaneurol.2020.4152] [Citation(s) in RCA: 229] [Impact Index Per Article: 76.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Question What is the current burden of neurological disorders in the US by states, and what are the temporal trends (from 1990 to 2017)? Findings Systematic analysis of the Global Burden of Disease study shows that, in 2017, the 3 most burdensome neurological disorders in the US were stroke, Alzheimer disease and other dementias, and migraine. The burden of individual neurological disorders varied moderately to widely by states (a 1.2-fold to 7.5-fold difference), and the absolute numbers of incident, prevalent, and fatal cases and disability-adjusted life-years of neurological disorders (except for traumatic brain injury incidence; spinal cord injury prevalence; meningitis prevalence, deaths, and disability-adjusted life-years; and encephalitis disability-adjusted life-years) across all US states increased from 1990 to 2017. Meaning A large and increasing number of people have various neurological disorders in the US, with significant variation in the burden of and trends in neurological disorders across the US states, and the reasons for these geographic variations need to be explored further. Importance Accurate and up-to-date estimates on incidence, prevalence, mortality, and disability-adjusted life-years (burden) of neurological disorders are the backbone of evidence-based health care planning and resource allocation for these disorders. It appears that no such estimates have been reported at the state level for the US. Objective To present burden estimates of major neurological disorders in the US states by age and sex from 1990 to 2017. Design, Setting, and Participants This is a systematic analysis of the Global Burden of Disease (GBD) 2017 study. Data on incidence, prevalence, mortality, and disability-adjusted life-years (DALYs) of major neurological disorders were derived from the GBD 2017 study of the 48 contiguous US states, Alaska, and Hawaii. Fourteen major neurological disorders were analyzed: stroke, Alzheimer disease and other dementias, Parkinson disease, epilepsy, multiple sclerosis, motor neuron disease, migraine, tension-type headache, traumatic brain injury, spinal cord injuries, brain and other nervous system cancers, meningitis, encephalitis, and tetanus. Exposures Any of the 14 listed neurological diseases. Main Outcome and Measure Absolute numbers in detail by age and sex and age-standardized rates (with 95% uncertainty intervals) were calculated. Results The 3 most burdensome neurological disorders in the US in terms of absolute number of DALYs were stroke (3.58 [95% uncertainty interval [UI], 3.25-3.92] million DALYs), Alzheimer disease and other dementias (2.55 [95% UI, 2.43-2.68] million DALYs), and migraine (2.40 [95% UI, 1.53-3.44] million DALYs). The burden of almost all neurological disorders (in terms of absolute number of incident, prevalent, and fatal cases, as well as DALYs) increased from 1990 to 2017, largely because of the aging of the population. Exceptions for this trend included traumatic brain injury incidence (−29.1% [95% UI, −32.4% to −25.8%]); spinal cord injury prevalence (−38.5% [95% UI, −43.1% to −34.0%]); meningitis prevalence (−44.8% [95% UI, −47.3% to −42.3%]), deaths (−64.4% [95% UI, −67.7% to −50.3%]), and DALYs (−66.9% [95% UI, −70.1% to −55.9%]); and encephalitis DALYs (−25.8% [95% UI, −30.7% to −5.8%]). The different metrics of age-standardized rates varied between the US states from a 1.2-fold difference for tension-type headache to 7.5-fold for tetanus; southeastern states and Arkansas had a relatively higher burden for stroke, while northern states had a relatively higher burden of multiple sclerosis and eastern states had higher rates of Parkinson disease, idiopathic epilepsy, migraine and tension-type headache, and meningitis, encephalitis, and tetanus. Conclusions and Relevance There is a large and increasing burden of noncommunicable neurological disorders in the US, with up to a 5-fold variation in the burden of and trends in particular neurological disorders across the US states. The information reported in this article can be used by health care professionals and policy makers at the national and state levels to advance their health care planning and resource allocation to prevent and reduce the burden of neurological disorders.
Collapse
Affiliation(s)
| | - Valery L Feigin
- Faculty of Health and Environmental Sciences, Auckland University of Technology School of Public Health and Psychosocial Studies, Auckland, New Zealand.,Institute for Health Metrics and Evaluation, University of Washington, Seattle.,Research Center of Neurology, Moscow, Russia
| | - Theo Vos
- Institute for Health Metrics and Evaluation, University of Washington, Seattle.,Department of Health Metrics Sciences, University of Washington School of Medicine, Seattle
| | - Fares Alahdab
- Mayo Evidence-Based Practice Center, Mayo Clinic Foundation for Medical Education and Research, Rochester, Minnesota
| | - Arianna Maever L Amit
- Department of Epidemiology and Biostatistics, University of the Philippines Manila, Manila, Philippines.,Johns Hopkins University School of Public Health, Baltimore, Maryland
| | - Till Winfried Bärnighausen
- Heidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany.,Harvard University T.H. Chan School of Public Health, Boston, Massachusetts
| | - Ettore Beghi
- Department of Neuroscience, Mario Negri Institute for Pharmacological Research, Milan, Italy
| | - Mahya Beheshti
- Department of Physical Medicine and Rehabilitation, New York University, New York
| | - Prachi P Chavan
- Department of Epidemiology and Environmental Health, the University of Buffalo, Buffalo, New York
| | - Michael H Criqui
- Department of Family Medicine and Public Health, University of California, San Diego, La Jolla
| | - Rupak Desai
- Division of Cardiology, Atlanta Veterans Affairs Medical Center, Decatur, Georgia
| | - Samath Dhamminda Dharmaratne
- Institute for Health Metrics and Evaluation, University of Washington, Seattle.,Department of Health Metrics Sciences, University of Washington School of Medicine, Seattle.,Department of Community Medicine, University of Peradeniya, Peradeniya, Sri Lanka
| | | | - Arielle Wilder Eagan
- Department of Global Health and Social Medicine, Harvard University, Boston, Massachusetts.,Department of Social Services, Tufts Medical Center, Boston, Massachusetts
| | - Islam Y Elgendy
- Division of Cardiology, Massachusetts General Hospital, Boston.,Division of Cardiology, Harvard University, Boston, Massachusetts
| | - Irina Filip
- Psychiatry Department, Kaiser Permanente, Fontana, California.,A.T. Still University School of Osteopathic Medicine in Arizona, Arizona School of Health Sciences, Mesa, Arizona
| | - Simona Giampaoli
- Department of Cardiovascular Endocrine-Metabolic Diseases and Aging, Istituto Superiore di Sanità (Italian National Institute of Health), Rome, Italy
| | - Giorgia Giussani
- Laboratory of Neurological Disorders, Mario Negri Institute for Pharmacological Research, Milan, Italy
| | - Nima Hafezi-Nejad
- Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, Maryland.,Tehran University of Medical Sciences School of Medicine, Tehran, Iran
| | - Michael K Hole
- Department of Pediatrics, The University of Texas, Austin, Austin
| | - Takayoshi Ikeda
- Department of Biostatistics and Epidemiology, Auckland University of Technology, Auckland, New Zealand
| | | | - Rizwan Kalani
- Department of Neurology, University of Washington, Seattle
| | - Khaled Khatab
- Faculty of Health and Wellbeing, Sheffield Hallam University, Sheffield, United Kingdom.,Ohio University College of Arts and Sciences, Zanesville
| | - Jagdish Khubchandani
- Department of Nutrition and Health Science, Ball State University, Muncie, Indiana
| | - Daniel Kim
- Department of Health Sciences, Northeastern University, Boston, Massachusetts
| | - Walter J Koroshetz
- National Institutes of Neurological Disorders and Stroke, National Institute of Health, Bethesda, Maryland
| | - Vijay Krishnamoorthy
- Department of Anesthesiology, Duke University, Durham, North Carolina.,Department of Anesthesiology, University of Washington, Seattle
| | - Rita V Krishnamurthi
- Faculty of Health and Environmental Sciences, Auckland University of Technology School of Public Health and Psychosocial Studies, Auckland, New Zealand
| | - Xuefeng Liu
- Department of Systems, Populations, and Leadership, University of Michigan, Ann Arbor
| | - Warren David Lo
- Department of Pediatrics, Ohio State University, Columbus.,Department of Pediatric Neurology, Nationwide Children's Hospital, Columbus, Ohio
| | - Giancarlo Logroscino
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari Aldo Moro, Bari, Italy.,Department of Clinical Research in Neurology, Fondazione Cardinale Giovanni Panico Hospital, Tricase, Italy
| | - George A Mensah
- Center for Translation Research and Implementation Science, National Institutes of Health, Bethesda, Maryland.,Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Ted R Miller
- Pacific Institute for Research & Evaluation, Calverton, Maryland.,School of Public Health, Curtin University, Perth, Australia
| | - Salahuddin Mohammed
- Department of Biomolecular Sciences, University of Mississippi, Oxford.,Department of Pharmacy, Mizan-Tepi University, Mizan, Ethiopia
| | - Ali H Mokdad
- Institute for Health Metrics and Evaluation, University of Washington, Seattle.,Department of Health Metrics Sciences, University of Washington School of Medicine, Seattle
| | - Maziar Moradi-Lakeh
- Preventive Medicine and Public Health Research Center, Iran University of Medical Sciences, Tehran, Iran
| | | | | | - Mohsen Naghavi
- Institute for Health Metrics and Evaluation, University of Washington, Seattle.,Department of Health Metrics Sciences, University of Washington School of Medicine, Seattle
| | - Emma Nichols
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Bo Norrving
- Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Christopher M Odell
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Elisabetta Pupillo
- Department of Neuroscience, Mario Negri Institute for Pharmacological Research, Milan, Italy
| | - Amir Radfar
- University of Central Florida College of Medicine, Orlando
| | - Gregory A Roth
- Institute for Health Metrics and Evaluation, University of Washington, Seattle.,Department of Health Metrics Sciences, University of Washington School of Medicine, Seattle.,Division of Cardiology, University of Washington, Seattle
| | - Azadeh Shafieesabet
- Department of Cardiology, Charité Medical University Berlin, Berlin, Germany.,Center for Stroke Research Berlin, Berlin, Germany
| | - Aziz Sheikh
- Centre for Medical Informatics, University of Edinburgh, Edinburgh, United Kingdom.,Division of General Internal Medicine, Harvard University, Boston, Massachusetts
| | - Sara Sheikhbahaei
- Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, Maryland
| | - Jae Il Shin
- Yonsei University College of Medicine, Seoul, South Korea
| | - Jasvinder A Singh
- The University of Alabama at Birmingham School of Medicine, Birmingham.,Medicine Service, US Department of Veterans Affairs, Birmingham, Alabama
| | - Timothy J Steiner
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway.,Division of Brain Sciences, Imperial College London, London, United Kingdom
| | - Lars Jacob Stovner
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Neurology and Clinical Neurophysiology, St Olavs Hospital, Trondheim, Norway
| | - Mitchell Taylor Wallin
- Department of Neurology, George Washington University, Washington, DC.,University of Maryland School of Medicine, Baltimore
| | - Jordan Weiss
- Department of Demography, University of California, Berkeley, Berkeley
| | - Chenkai Wu
- Global Health Research Center, Duke Kunshan University, Kunshan, China.,Duke Global Health Institute, Duke University, Durham, North Carolina
| | | | - Jaimie D Adelson
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Christopher J L Murray
- Institute for Health Metrics and Evaluation, University of Washington, Seattle.,Department of Health Metrics Sciences, University of Washington School of Medicine, Seattle
| |
Collapse
|
42
|
Roth GA, Mensah GA, Johnson CO, Addolorato G, Ammirati E, Baddour LM, Barengo NC, Beaton AZ, Benjamin EJ, Benziger CP, Bonny A, Brauer M, Brodmann M, Cahill TJ, Carapetis J, Catapano AL, Chugh SS, Cooper LT, Coresh J, Criqui M, DeCleene N, Eagle KA, Emmons-Bell S, Feigin VL, Fernández-Solà J, Fowkes G, Gakidou E, Grundy SM, He FJ, Howard G, Hu F, Inker L, Karthikeyan G, Kassebaum N, Koroshetz W, Lavie C, Lloyd-Jones D, Lu HS, Mirijello A, Temesgen AM, Mokdad A, Moran AE, Muntner P, Narula J, Neal B, Ntsekhe M, Moraes de Oliveira G, Otto C, Owolabi M, Pratt M, Rajagopalan S, Reitsma M, Ribeiro ALP, Rigotti N, Rodgers A, Sable C, Shakil S, Sliwa-Hahnle K, Stark B, Sundström J, Timpel P, Tleyjeh IM, Valgimigli M, Vos T, Whelton PK, Yacoub M, Zuhlke L, Murray C, Fuster V. Global Burden of Cardiovascular Diseases and Risk Factors, 1990-2019: Update From the GBD 2019 Study. J Am Coll Cardiol 2020; 76:2982-3021. [PMID: 33309175 PMCID: PMC7755038 DOI: 10.1016/j.jacc.2020.11.010] [Citation(s) in RCA: 3874] [Impact Index Per Article: 968.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 11/06/2020] [Accepted: 11/06/2020] [Indexed: 02/07/2023]
Abstract
Cardiovascular diseases (CVDs), principally ischemic heart disease (IHD) and stroke, are the leading cause of global mortality and a major contributor to disability. This paper reviews the magnitude of total CVD burden, including 13 underlying causes of cardiovascular death and 9 related risk factors, using estimates from the Global Burden of Disease (GBD) Study 2019. GBD, an ongoing multinational collaboration to provide comparable and consistent estimates of population health over time, used all available population-level data sources on incidence, prevalence, case fatality, mortality, and health risks to produce estimates for 204 countries and territories from 1990 to 2019. Prevalent cases of total CVD nearly doubled from 271 million (95% uncertainty interval [UI]: 257 to 285 million) in 1990 to 523 million (95% UI: 497 to 550 million) in 2019, and the number of CVD deaths steadily increased from 12.1 million (95% UI:11.4 to 12.6 million) in 1990, reaching 18.6 million (95% UI: 17.1 to 19.7 million) in 2019. The global trends for disability-adjusted life years (DALYs) and years of life lost also increased significantly, and years lived with disability doubled from 17.7 million (95% UI: 12.9 to 22.5 million) to 34.4 million (95% UI:24.9 to 43.6 million) over that period. The total number of DALYs due to IHD has risen steadily since 1990, reaching 182 million (95% UI: 170 to 194 million) DALYs, 9.14 million (95% UI: 8.40 to 9.74 million) deaths in the year 2019, and 197 million (95% UI: 178 to 220 million) prevalent cases of IHD in 2019. The total number of DALYs due to stroke has risen steadily since 1990, reaching 143 million (95% UI: 133 to 153 million) DALYs, 6.55 million (95% UI: 6.00 to 7.02 million) deaths in the year 2019, and 101 million (95% UI: 93.2 to 111 million) prevalent cases of stroke in 2019. Cardiovascular diseases remain the leading cause of disease burden in the world. CVD burden continues its decades-long rise for almost all countries outside high-income countries, and alarmingly, the age-standardized rate of CVD has begun to rise in some locations where it was previously declining in high-income countries. There is an urgent need to focus on implementing existing cost-effective policies and interventions if the world is to meet the targets for Sustainable Development Goal 3 and achieve a 30% reduction in premature mortality due to noncommunicable diseases.
Collapse
Affiliation(s)
| | - George A Mensah
- National Heart, Lung, and Blood Institute (NHLBI), Bethesda, Maryland, USA.
| | - Catherine O Johnson
- University of Washington, Institute for Health Metrics and Evaluation, Seattle, Washington, USA
| | | | - Enrico Ammirati
- De Gasperis Cardio Center and Transplant Center, Niguarda Hospital, Milan, Italy
| | | | - Noël C Barengo
- Herbert Wertheim College of Medicine, Florida International University, Miami, Florida, USA
| | | | - Emelia J Benjamin
- Boston University School of Public Health, Boston, Massachusetts, USA
| | | | - Aimé Bonny
- District Hospital of Bonassama-University of Douala, Douala, Cameroon
| | - Michael Brauer
- University of British Columbia, Vancouver, British Columbia, Canada
| | | | | | | | | | - Sumeet S Chugh
- Cedars-Sinai, Smidt Heart Institute, Los Angeles, California, USA
| | | | - Josef Coresh
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Michael Criqui
- University of California at San Diego, San Diego, California, USA
| | - Nicole DeCleene
- The University of Michigan Samuel and Jean Frankel Cardiovascular Center, Ann Arbor, Michigan, USA
| | - Kim A Eagle
- The University of Michigan Samuel and Jean Frankel Cardiovascular Center, Ann Arbor, Michigan, USA
| | - Sophia Emmons-Bell
- University of Washington, Institute for Health Metrics and Evaluation, Seattle, Washington, USA
| | | | | | - Gerry Fowkes
- University of Edinburgh, Edinburgh, United Kingdom
| | | | - Scott M Grundy
- University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Feng J He
- Queen Mary University of London, London, United Kingdom
| | - George Howard
- University of Alabama at Birmingham School of Public Health, Birmingham, Alabama, USA
| | - Frank Hu
- Harvard Medical School, Boston, Massachusetts, USA
| | - Lesley Inker
- Tufts Medical Center, Boston, Massachusetts, USA
| | - Ganesan Karthikeyan
- Cardiothoracic Sciences Centre, All India Institute of Medical Sciences, New Delhi, India
| | | | - Walter Koroshetz
- National Institute of Neurological Disorders and Stroke, Bethesda, Maryland, USA
| | - Carl Lavie
- Ochsner Health, New Orleans, Louisiana, USA
| | - Donald Lloyd-Jones
- Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Hong S Lu
- University of Kentucky College of Medicine, Lexington, Kentucky, USA
| | - Antonio Mirijello
- IRCCS Casa Sollievo della Sofferenza Hospital, Department of Medical Sciences, San Giovanni Rotondo, Italy
| | - Awoke Misganaw Temesgen
- University of Washington, Institute for Health Metrics and Evaluation, Seattle, Washington, USA
| | - Ali Mokdad
- University of Washington, Institute for Health Metrics and Evaluation, Seattle, Washington, USA
| | - Andrew E Moran
- Columbia University Irving Medical Center, New York, New York, USA
| | - Paul Muntner
- University of Alabama at Birmingham School of Public Health, Birmingham, Alabama, USA
| | - Jagat Narula
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Bruce Neal
- The University of Sydney School of Medicine, Sydney, New South Wales, Australia
| | | | | | | | | | - Michael Pratt
- University of California at San Diego, San Diego, California, USA
| | - Sanjay Rajagopalan
- Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
| | - Marissa Reitsma
- Stanford University School of Medicine, Stanford, California, USA
| | | | - Nancy Rigotti
- Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Anthony Rodgers
- The George Institute for Global Health, Newtown, New South Wales, Australia; Imperial College of London, London, United Kingdom
| | - Craig Sable
- Children's National Hospital, Washington, DC, USA
| | - Saate Shakil
- University of Washington, Seattle, Washington, USA
| | | | | | | | | | | | | | - Theo Vos
- University of Washington, Seattle, Washington, USA
| | - Paul K Whelton
- Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA
| | - Magdi Yacoub
- Imperial College of London, London, United Kingdom
| | - Liesl Zuhlke
- University of Cape Town, Cape Town, South Africa
| | - Christopher Murray
- University of Washington, Institute for Health Metrics and Evaluation, Seattle, Washington, USA
| | - Valentin Fuster
- Icahn School of Medicine at Mount Sinai, New York, New York, USA; Centro Nacional de Investigaciones Cardiovasculares, Madrid, Spain
| |
Collapse
|
43
|
Oliveira GMMD, Brant LCC, Polanczyk CA, Biolo A, Nascimento BR, Malta DC, Souza MDFMD, Soares GP, Xavier Junior GF, Machline-Carrion MJ, Bittencourt MS, Pontes Neto OM, Silvestre OM, Teixeira RA, Sampaio RO, Gaziano TA, Roth GA, Ribeiro ALP. Cardiovascular Statistics - Brazil 2020. Arq Bras Cardiol 2020; 115:308-439. [PMID: 33027364 PMCID: PMC9363085 DOI: 10.36660/abc.20200812] [Citation(s) in RCA: 78] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Accepted: 09/09/2020] [Indexed: 02/06/2023] Open
Affiliation(s)
- Gláucia Maria Moraes de Oliveira
- Instituto do Coração Edson Saad da Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro , RJ - Brasil.,Disciplina de Cardiologia, Departamento de Clínica Médica da Faculdade de Medicina da Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro , RJ - Brasil
| | - Luisa Campos Caldeira Brant
- Departamento de Clínica Médica da Faculdade de Medicina da Universidade Federal de Minas Gerais (UFMG), Belo Horizonte , MG - Brasil.,Serviço de Cardiologia e Cirurgia Cardiovascular e Centro de Telessaúde do Hospital das Clínicas da Universidade Federal de Minas Gerais (UFMG), Belo Horizonte , MG - Brasil
| | - Carisi Anne Polanczyk
- Faculdade de Medicina da Universidade Federal do Rio Grande do Sul (UFRS), Porto Alegre , RS - Brasil.,Serviço de Cardiologia do Hospital Moinhos de Vento , Porto Alegre , RS - Brasil.,Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre , RS - Brasil
| | - Andreia Biolo
- Faculdade de Medicina da Universidade Federal do Rio Grande do Sul (UFRS), Porto Alegre , RS - Brasil.,Serviço de Cardiologia do Hospital Moinhos de Vento , Porto Alegre , RS - Brasil.,Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre , RS - Brasil
| | - Bruno Ramos Nascimento
- Departamento de Clínica Médica da Faculdade de Medicina da Universidade Federal de Minas Gerais (UFMG), Belo Horizonte , MG - Brasil.,Serviço de Cardiologia e Cirurgia Cardiovascular e Centro de Telessaúde do Hospital das Clínicas da Universidade Federal de Minas Gerais (UFMG), Belo Horizonte , MG - Brasil
| | - Deborah Carvalho Malta
- Programa de Pós-Graduação em Saúde Pública da Universidade Federal de Minas Gerais (UFMG), Belo Horizonte , MG - Brasil
| | - Maria de Fatima Marinho de Souza
- Programa de Pós-Graduação em Saúde Pública da Universidade Federal de Minas Gerais (UFMG), Belo Horizonte , MG - Brasil.,Organização Vital Strategies , Nova York - EUA
| | - Gabriel Porto Soares
- Instituto do Coração Edson Saad da Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro , RJ - Brasil.,Curso de Medicina da Universidade de Vassouras , Vassouras , RJ - Brasil
| | | | | | - Marcio Sommer Bittencourt
- Divisão de Clínica Médica do Hospital Universitário da Universidade de São Paulo , São Paulo , SP - Brasil.,Faculdade Israelita de Ciências da Saúde Albert Einstein , São Paulo , SP - Brasil
| | - Octavio M Pontes Neto
- Serviço de Neurologia Vascular e Emergências Neurológicas, Divisão de Neurologia, Departamento de Neurociências e Ciências do Comportamento , Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo (USP), São Paulo , SP - Brasil
| | | | - Renato Azeredo Teixeira
- Programa de Pós-Graduação em Saúde Pública da Universidade Federal de Minas Gerais (UFMG), Belo Horizonte , MG - Brasil
| | - Roney Orismar Sampaio
- Departamento de Cardiopneumologia da Faculdade de Medicina da Universidade de São Paulo (USP), São Paulo , SP - Brasil.,Programa de Pós-Graduação da Faculdade de Medicina da Universidade de São Paulo (USP), São Paulo , SP - Brasil.,Unidade Clínica de Cardiopatias Valvares do Instituto do Coração (Incor) do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo , SP - Brasil
| | - Thomaz A Gaziano
- Brigham and Women's Hospital , Boston - EUA.,Department of Medicine , Cardiovascular, Harvard Medical School , Boston - EUA
| | - Gregory A Roth
- Global Health and Health Metrics Sciences at the Institute for Health Metrics and Evaluation (IHME), Washington - EUA.,Division of Cardiology at the University of Washington School of Medicine , Washington - EUA
| | - Antonio Luiz Pinho Ribeiro
- Departamento de Clínica Médica da Faculdade de Medicina da Universidade Federal de Minas Gerais (UFMG), Belo Horizonte , MG - Brasil.,Serviço de Cardiologia e Cirurgia Cardiovascular e Centro de Telessaúde do Hospital das Clínicas da Universidade Federal de Minas Gerais (UFMG), Belo Horizonte , MG - Brasil
| |
Collapse
|
44
|
Cortesi PA, Fornari C, Madotto F, Conti S, Naghavi M, Bikbov B, Briant PS, Caso V, Crotti G, Johnson C, Nguyen M, Palmieri L, Perico N, Profili F, Remuzzi G, Roth GA, Traini E, Voller F, Yadgir S, Mazzaglia G, Monasta L, Giampaoli S, Mantovani LG. Trends in cardiovascular diseases burden and vascular risk factors in Italy: The Global Burden of Disease study 1990-2017. Eur J Prev Cardiol 2020; 28:385-396. [PMID: 33966080 DOI: 10.1177/2047487320949414] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Accepted: 06/10/2020] [Indexed: 12/12/2022]
Abstract
AIMS An exhaustive and updated estimation of cardiovascular disease burden and vascular risk factors is still lacking in European countries. This study aims to fill this gap assessing the global Italian cardiovascular disease burden and its changes from 1990 to 2017 and comparing the Italian situation with European countries. METHODS All accessible data sources from the 2017 Global Burden of Disease study were used to estimate the cardiovascular disease prevalence, mortality and disability-adjusted life years and cardiovascular disease attributable risk factors burden in Italy from 1990 to 2017. Furthermore, we compared the cardiovascular disease burden within the 28 European Union countries. RESULTS Since 1990, we observed a significant decrease of cardiovascular disease burden, particularly in the age-standardised prevalence (-12.7%), mortality rate (-53.8%), and disability-adjusted life years rate (-55.5%). Similar improvements were observed in the majority of European countries. However, we found an increase in all-ages prevalence of cardiovascular diseases from 5.75 m to 7.49 m Italian residents. Cardiovascular diseases still remain the first cause of death (34.8% of total mortality). More than 80% of the cardiovascular disease burden could be attributed to known modifiable risk factors such as high systolic blood pressure, dietary risks, high low density lipoprotein cholesterol, and impaired kidney function. CONCLUSIONS Our study shows a decline in cardiovascular mortality and disability-adjusted life years, which reflects the success in reducing disability, premature death and early incidence of cardiovascular diseases. However, the burden of cardiovascular diseases is still high. An approach that includes the cooperation and coordination of all stakeholders of the Italian National Health System is required to further reduce this burden.
Collapse
Affiliation(s)
- Paolo A Cortesi
- School of Medicine and Surgery, Research Centre on Public Health (CESP), University of Milano-Bicocca, Italy
| | - Carla Fornari
- School of Medicine and Surgery, Research Centre on Public Health (CESP), University of Milano-Bicocca, Italy
| | | | - Sara Conti
- School of Medicine and Surgery, Research Centre on Public Health (CESP), University of Milano-Bicocca, Italy
| | - Mohsen Naghavi
- Department of Health Metrics Sciences, Institute for Health Metrics and Evaluation, University of Washington, USA
| | - Boris Bikbov
- Department of Renal Medicine, Mario Negri Institute for Pharmacological Research IRCCS, Italy
| | - Paul S Briant
- Institute for Health Metrics and Evaluation, University of Washington, USA
| | | | - Giacomo Crotti
- School of Medicine and Surgery, Research Centre on Public Health (CESP), University of Milano-Bicocca, Italy
| | - Catherine Johnson
- Institute for Health Metrics and Evaluation, University of Washington, USA
| | - Minh Nguyen
- Institute for Health Metrics and Evaluation, University of Washington, USA
| | - Luigi Palmieri
- Department of Cardiovascular Endocrine-Metabolic Diseases and Aging, Istituto Superiore di Sanità (ISS), Italy
| | - Norberto Perico
- Department of Renal Medicine, Mario Negri Institute for Pharmacological Research IRCCS, Italy
| | | | - Giuseppe Remuzzi
- Mario Negri Institute for Pharmacological Research, IRCSS, Italy
| | - Gregory A Roth
- Division of Cardiology, Department of Medicine, University of Washington, USA
| | - Eugenio Traini
- Clinical Epidemiology and Public Health Research Unit, Burlo Garofolo Institute for Maternal and Child Health, Italy
| | - Fabio Voller
- Epidemiology Unit, Regional Health Agency of Tuscany, Italy
| | - Simon Yadgir
- Institute for Health Metrics and Evaluation, University of Washington, USA
| | - Giampiero Mazzaglia
- School of Medicine and Surgery, Research Centre on Public Health (CESP), University of Milano-Bicocca, Italy
| | - Lorenzo Monasta
- Clinical Epidemiology and Public Health Research Unit, Burlo Garofolo Institute for Maternal and Child Health, Italy
| | - Simona Giampaoli
- Department of Cardiovascular Endocrine-Metabolic Diseases and Aging, Istituto Superiore di Sanità (ISS), Italy
| | - Lorenzo G Mantovani
- School of Medicine and Surgery, Research Centre on Public Health (CESP), University of Milano-Bicocca, Italy.,IRCCS Multimedica, Italy
| | | |
Collapse
|
45
|
Sridhar AR, Chatterjee NA, Saour B, Nguyen D, Starnes EA, Johnston C, Green ML, Roth GA, Poole JE. QT interval and arrhythmic safety of hydroxychloroquine monotherapy in coronavirus disease 2019. Heart Rhythm O2 2020; 1:167-172. [PMID: 32835316 PMCID: PMC7289101 DOI: 10.1016/j.hroo.2020.06.002] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Observational studies have suggested increased arrhythmic and cardiovascular risk with the combination use of hydroxychloroquine (HCQ) and azithromycin in patients with coronavirus disease 2019 (COVID-19). OBJECTIVE The arrhythmic safety profile of HCQ monotherapy, which remains under investigation as a therapeutic and prophylactic agent in COVID-19, is less established and we sought to evaluate this. METHODS In 245 consecutive patients with COVID-19 admitted to the University of Washington hospital system between March 9, 2020, and May 10, 2020, we identified 111 treated with HCQ monotherapy. Patients treated with HCQ underwent a systematic arrhythmia and QT interval surveillance protocol including serial electrocardiograms (ECG) (baseline, following second HCQ dose). The primary endpoint was in-hospital sustained ventricular arrhythmia or arrhythmic cardiac arrest. Secondary endpoints included clinically significant QTc prolongation. RESULTS A total of 111 patients with COVID-19 underwent treatment with HCQ monotherapy (mean age 62 ± 16 years, 44 women [39%], serum creatinine 0.9 [interquartile range 0.4] mg/dL). There were no instances of sustained ventricular arrythmia or arrhythmic cardiac arrest. In 75 patients with serial ECGs, clinically significant corrected QT (QTc) prolongation was observed in a minority (n = 5 [7%]). In patients with serial ECGs, there was no significant change in the QTc interval in prespecified subgroups of interest, including those with prevalent cardiovascular disease or baseline use of renin-angiotensin-aldosterone axis inhibitors. CONCLUSIONS In the context of a systematic monitoring protocol, HCQ monotherapy in hospitalized COVID-19 patients was not associated with malignant ventricular arrhythmia. A minority of patients demonstrated clinically significant QTc prolongation during HCQ therapy.
Collapse
Affiliation(s)
- Arun R. Sridhar
- Division of Cardiology, University of Washington, Seattle, Washington
| | | | - Basil Saour
- Division of Cardiology, University of Washington, Seattle, Washington
| | - Dan Nguyen
- Division of Cardiology, University of Washington, Seattle, Washington
| | | | - Christine Johnston
- Division of Allergy and Infectious Diseases, University of Washington, Seattle, Washington
| | - Margaret L. Green
- Division of Allergy and Infectious Diseases, University of Washington, Seattle, Washington
| | - Gregory A. Roth
- Division of Cardiology, University of Washington, Seattle, Washington
| | - Jeanne E. Poole
- Division of Cardiology, University of Washington, Seattle, Washington
| |
Collapse
|
46
|
Wafa HA, Wolfe CDA, Emmett E, Roth GA, Johnson CO, Wang Y. Burden of Stroke in Europe: Thirty-Year Projections of Incidence, Prevalence, Deaths, and Disability-Adjusted Life Years. Stroke 2020; 51:2418-2427. [PMID: 32646325 PMCID: PMC7382540 DOI: 10.1161/strokeaha.120.029606] [Citation(s) in RCA: 282] [Impact Index Per Article: 70.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Prediction of stroke impact provides essential information for healthcare planning and priority setting. We aim to estimate 30-year projections of stroke epidemiology in the European Union using multiple modeling approaches. METHODS Data on stroke incidence, prevalence, deaths, and disability-adjusted life years in the European Union between 1990 and 2017 were obtained from the global burden of disease study. Their trends over time were modeled using 3 modeling strategies: linear, Poisson, and exponential regressions-adjusted for the gross domestic product per capita, which reflects the impact of economic development on health status. We used the Akaike information criterion for model selection. The 30-year projections up to 2047 were estimated using the best fitting models, with inputs on population projections from the United Nations and gross domestic product per capita prospects from the World Bank. The technique was applied separately by age-sex-country groups for each stroke measure. RESULTS In 2017, there were 1.12 million incident strokes in the European Union, 9.53 million stroke survivors, 0.46 million deaths, and 7.06 million disability-adjusted life years lost because of stroke. By 2047, we estimated an additional 40 000 incident strokes (+3%) and 2.58 million prevalent cases (+27%). Conversely, 80 000 fewer deaths (-17%) and 2.31 million fewer disability-adjusted life years lost (-33%) are projected. The largest increase in the age-adjusted incidence and prevalence rates are expected in Lithuania (average annual percentage change, 0.48% and 0.7% respectively), and the greatest reductions in Portugal (-1.57% and -1.3%). Average annual percentage change in mortality rates will range from -2.86% (Estonia) to -0.08% (Lithuania), and disability-adjusted life years' from -2.77% (Estonia) to -0.23% (Romania). CONCLUSIONS The number of people living with stroke is estimated to increase by 27% between 2017 and 2047 in the European Union, mainly because of population ageing and improved survival rates. Variations are expected to persist between countries showing opportunities for improvements in prevention and case management particularly in Eastern Europe.
Collapse
Affiliation(s)
- Hatem A Wafa
- School of Population Health and Environmental Sciences, King's College London, United Kingdom (H.A.W., C.D.A.W., E.E., Y.W.).,National Institute for Health Research (NIHR) Biomedical Research Centre, Guy's and St Thomas' NHS Foundation Trust and King's College London, United Kingdom (H.A.W., C.D.A.W., Y.W.).,National Institute for Health Research (NIHR) Collaboration for Leadership in Applied Health Research and Care (CLAHRC) South London, United Kingdom (H.A.W., C.D.A.W., Y.W.)
| | - Charles D A Wolfe
- School of Population Health and Environmental Sciences, King's College London, United Kingdom (H.A.W., C.D.A.W., E.E., Y.W.).,National Institute for Health Research (NIHR) Biomedical Research Centre, Guy's and St Thomas' NHS Foundation Trust and King's College London, United Kingdom (H.A.W., C.D.A.W., Y.W.).,National Institute for Health Research (NIHR) Collaboration for Leadership in Applied Health Research and Care (CLAHRC) South London, United Kingdom (H.A.W., C.D.A.W., Y.W.)
| | - Eva Emmett
- School of Population Health and Environmental Sciences, King's College London, United Kingdom (H.A.W., C.D.A.W., E.E., Y.W.)
| | - Gregory A Roth
- Department of Medicine, University of Washington, Seattle (G.A.R.).,Institute of Health Metrics and Evaluation (IHME), University of Washington, Seattle (G.A.R., C.O.J.)
| | - Catherine O Johnson
- Institute of Health Metrics and Evaluation (IHME), University of Washington, Seattle (G.A.R., C.O.J.)
| | - Yanzhong Wang
- School of Population Health and Environmental Sciences, King's College London, United Kingdom (H.A.W., C.D.A.W., E.E., Y.W.).,National Institute for Health Research (NIHR) Biomedical Research Centre, Guy's and St Thomas' NHS Foundation Trust and King's College London, United Kingdom (H.A.W., C.D.A.W., Y.W.).,National Institute for Health Research (NIHR) Collaboration for Leadership in Applied Health Research and Care (CLAHRC) South London, United Kingdom (H.A.W., C.D.A.W., Y.W.)
| |
Collapse
|
47
|
Affiliation(s)
- George A Mensah
- Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
| | - Gregory A Roth
- Division of Cardiology, Department of Medicine, and the Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington
| | - Valentin Fuster
- The Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| |
Collapse
|
48
|
Yadgir S, Johnson CO, Aboyans V, Adebayo OM, Adedoyin RA, Afarideh M, Alahdab F, Alashi A, Alipour V, Arabloo J, Azari S, Barthelemy CM, Benziger CP, Berman AE, Bijani A, Carrero JJ, Carvalho F, Daryani A, Durães AR, Esteghamati A, Farid TA, Farzadfar F, Fernandes E, Filip I, Gad MM, Hamidi S, Hay SI, Ilesanmi OS, Naghibi Irvani SS, Jürisson M, Kasaeian A, Kengne AP, Khan AR, Kisa A, Kisa S, Kolte D, Manafi N, Manafi A, Mensah GA, Mirrakhimov EM, Mohammad Y, Mokdad AH, Negoi RI, Thi Nguyen HL, Nguyen TH, Nixon MR, Otto CM, Patel S, Pilgrim T, Radfar A, Rawaf DL, Rawaf S, Rawasia WF, Rezapour A, Roever L, Saad AM, Saadatagah S, Senthilkumaran S, Sliwa K, Tesfay BE, Tran BX, Ullah I, Vaduganathan M, Vasankari TJ, Wolfe CDA, Yonemoto N, Roth GA. Global, Regional, and National Burden of Calcific Aortic Valve and Degenerative Mitral Valve Diseases, 1990-2017. Circulation 2020; 141:1670-1680. [PMID: 32223336 DOI: 10.1161/circulationaha.119.043391] [Citation(s) in RCA: 180] [Impact Index Per Article: 45.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
BACKGROUND Nonrheumatic valvular diseases are common; however, no studies have estimated their global or national burden. As part of the Global Burden of Disease Study 2017, mortality, prevalence, and disability-adjusted life-years (DALYs) for calcific aortic valve disease (CAVD), degenerative mitral valve disease, and other nonrheumatic valvular diseases were estimated for 195 countries and territories from 1990 to 2017. METHODS Vital registration data, epidemiologic survey data, and administrative hospital data were used to estimate disease burden using the Global Burden of Disease Study modeling framework, which ensures comparability across locations. Geospatial statistical methods were used to estimate disease for all countries, because data on nonrheumatic valvular diseases are extremely limited for some regions of the world, such as Sub-Saharan Africa and South Asia. Results accounted for estimated level of disease severity as well as the estimated availability of valve repair or replacement procedures. DALYs and other measures of health-related burden were generated for both sexes and each 5-year age group, location, and year from 1990 to 2017. RESULTS Globally, CAVD and degenerative mitral valve disease caused 102 700 (95% uncertainty interval [UI], 82 700-107 900) and 35 700 (95% UI, 30 500-42 500) deaths, and 12.6 million (95% UI, 11.4 million-13.8 million) and 18.1 million (95% UI, 17.6 million-18.6 million) prevalent cases existed in 2017, respectively. A total of 2.5 million (95% UI, 2.3 million-2.8 million) DALYs were estimated as caused by nonrheumatic valvular diseases globally, representing 0.10% (95% UI, 0.09%-0.11%) of total lost health from all diseases in 2017. The number of DALYs increased for CAVD and degenerative mitral valve disease between 1990 and 2017 by 101% (95% UI, 79%-117%) and 35% (95% UI, 23%-47%), respectively. There is significant geographic variation in the prevalence, mortality rate, and overall burden of these diseases, with highest age-standardized DALY rates of CAVD estimated for high-income countries. CONCLUSIONS These global and national estimates demonstrate that CAVD and degenerative mitral valve disease are important causes of disease burden among older adults. Efforts to clarify modifiable risk factors and improve access to valve interventions are necessary if progress is to be made toward reducing, and eventually eliminating, the burden of these highly treatable diseases.
Collapse
Affiliation(s)
- Simon Yadgir
- Institute for Health Metrics and Evaluation (S.Y., C.O.J., C.M.B., S.I.H., A.H.M., M.R.N., G.A.R.), University of Washington, Seattle
| | - Catherine Owens Johnson
- Institute for Health Metrics and Evaluation (S.Y., C.O.J., C.M.B., S.I.H., A.H.M., M.R.N., G.A.R.), University of Washington, Seattle
| | - Victor Aboyans
- Department of Cardiology, Dupuytren University Hospital, Limoges, France (V. Aboyans).,Institute of Epidemiology, University of Limoges, France (V. Aboyans)
| | - Oladimeji M Adebayo
- College of Medicine, University College Hospital, College of Medicine, University College Hospital, Ibadan, Oyo, Nigeria (O.M.A.)
| | - Rufus Adesoji Adedoyin
- Department of Medical Rehabilitation, Obafemi Awolowo University, Ile-Ife, Osun State, Nigeria (R.A.A.)
| | - Mohsen Afarideh
- Endocrinology and Metabolism Research Center (M.A., A.E.), Tehran University of Medical Sciences, Iran
| | - Fares Alahdab
- Evidence Based Practice Center, Mayo Clinic Foundation for Medical Education and Research, Rochester, MN (F.A.)
| | - Alaa Alashi
- Department of Cardiovascular Medicine (A.A., M.M.G.), Cleveland Clinic, OH
| | - Vahid Alipour
- Health Management and Economics Research Center (V. Alipour, J.A., S.A., A. Rezapour), Iran University of Medical Sciences, Tehran.,Health Economics Department (V. Alipour), Iran University of Medical Sciences, Tehran
| | - Jalal Arabloo
- Health Management and Economics Research Center (V. Alipour, J.A., S.A., A. Rezapour), Iran University of Medical Sciences, Tehran
| | - Samad Azari
- Health Management and Economics Research Center (V. Alipour, J.A., S.A., A. Rezapour), Iran University of Medical Sciences, Tehran
| | - Celine M Barthelemy
- Institute for Health Metrics and Evaluation (S.Y., C.O.J., C.M.B., S.I.H., A.H.M., M.R.N., G.A.R.), University of Washington, Seattle
| | | | - Adam E Berman
- Department of Medicine, Medical College of Georgia at Augusta University (A.E.B.)
| | - Ali Bijani
- Social Determinants of Health Research Center, Babol University of Medical Sciences, Mazandaran, Iran (A.B.)
| | - Juan J Carrero
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden (J.J.C.)
| | - Félix Carvalho
- Applied Molecular Biosciences Unit (F.C.), University of Porto, Portugal.,Institute of Public Health (F.C.), University of Porto, Portugal
| | | | - Andre R Durães
- Toxoplasmosis Research Center, Mazandaran University of Medical Sciences, Sari, Iran (A.D.).,School of Medicine, Federal University of Bahia, Salvador, Brazil (A.R.D.)
| | - Alireza Esteghamati
- Endocrinology and Metabolism Research Center (M.A., A.E.), Tehran University of Medical Sciences, Iran
| | - Talha A Farid
- Division of Cardiovascular Medicine, University of Louisville, KY (T.A.F., A.R.K.)
| | - Farshad Farzadfar
- Non-communicable Diseases Research Center (F.F.), Tehran University of Medical Sciences, Iran
| | | | - Irina Filip
- Psychiatry Department, Kaiser Permanente, Fontana, CA (I.F.).,Department of Health Sciences, A.T. Still University, Mesa, AZ (I.F.)
| | - Mohamed M Gad
- Department of Cardiovascular Medicine (A.A., M.M.G.), Cleveland Clinic, OH.,Gillings School of Global Public Health, University of North Carolina Chapel Hill (M.M.G.)
| | - Samer Hamidi
- School of Health and Environmental Studies, Hamdan Bin Mohammed Smart University, Dubai, United Arab Emirates (S.H.)
| | - Simon I Hay
- Institute for Health Metrics and Evaluation (S.Y., C.O.J., C.M.B., S.I.H., A.H.M., M.R.N., G.A.R.), University of Washington, Seattle.,School of Medicine (S.I.H.), University of Washington, Seattle.,Department of Cardiology, Dupuytren University Hospital, Limoges, France (V. Aboyans)
| | | | - Seyed Sina Naghibi Irvani
- Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran (S.S.N.I.)
| | - Mikk Jürisson
- Institute of Family Medicine and Public Health, University of Tartu, Tartumaa, Estonia (M.J.)
| | - Amir Kasaeian
- Hematology-Oncology and Stem Cell Transplantation Research Center (A. Kasaeian), Tehran University of Medical Sciences, Iran.,Hematologic Malignancies Research Center (A. Kasaeian), Tehran University of Medical Sciences, Iran
| | - Andre Pascal Kengne
- Non-communicable Diseases Research Unit, Medical Research Council South Africa, Cape Town (A.P.K.).,Department of Medicine, University of Cape Town, South Africa (A.P.K., G.A.M., K.S.)
| | - Abdur Rahman Khan
- Division of Cardiovascular Medicine, University of Louisville, KY (T.A.F., A.R.K.)
| | - Adnan Kisa
- Department of Health Management and Health Economics, Kristiania University College, Oslo, Norway (A. Kisa).,Department of Health Services Policy and Management, University of South Carolina, Columbia (A. Kisa)
| | - Sezer Kisa
- Department of Nursing and Health Promotion, Oslo Metropolitan University, Norway (S.K.)
| | - Dhaval Kolte
- Department of Medicine, Brown University, Providence, RI (D.K.)
| | - Navid Manafi
- Ophthalmology Department (N.M.), Iran University of Medical Sciences, Tehran.,Ophthalmology Department, University of Manitoba, Winnipeg, Canada (N.M.)
| | - Amir Manafi
- Department of Surgery, University of Virginia, Charlottesville (A.M.)
| | - George A Mensah
- Department of Medicine, University of Cape Town, South Africa (A.P.K., G.A.M., K.S.).,Center for Translation Research and Implementation Science, National Institutes of Health, Bethesda, MD (G.A.M.)
| | - Erkin M Mirrakhimov
- Faculty of General Medicine, Kyrgyz State Medical Academy, Bishkek, Kyrgyzstan (E.M.M.).,Department of Atherosclerosis and Coronary Heart Disease, National Center of Cardiology and Internal Disease, Bishkek, Kyrgyzstan (E.M.M.)
| | - Yousef Mohammad
- Internal Medicine Department, King Saud University, Riyadh, Saudi Arabia (Y.M.)
| | - Ali H Mokdad
- Institute for Health Metrics and Evaluation (S.Y., C.O.J., C.M.B., S.I.H., A.H.M., M.R.N., G.A.R.), University of Washington, Seattle.,Department of Health Metrics Sciences (A.H.M., G.A.R.), University of Washington, Seattle
| | - Ruxandra Irina Negoi
- Anatomy and Embryology Department, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania (R.I.N.).,Department of Cardiology, Cardio-Aid, Bucharest, Romania (R.I.N.)
| | - Huong Lan Thi Nguyen
- Institute for Global Health Innovations, Duy Tan University, Hanoi, Vietnam (H.L.T.N.)
| | - Trang Huyen Nguyen
- Center of Excellence in Behavioral Health, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam (T.H.N.)
| | - Molly R Nixon
- Institute for Health Metrics and Evaluation (S.Y., C.O.J., C.M.B., S.I.H., A.H.M., M.R.N., G.A.R.), University of Washington, Seattle
| | - Catherine M Otto
- Division of Cardiology (C.M.O., G.A.R.), University of Washington, Seattle
| | - Shanti Patel
- Department of Medicine, Maimonides Medical Center, Brooklyn, NY (S.P.)
| | - Thomas Pilgrim
- Department of Cardiology, University of Bern, Switzerland (T.P.)
| | - Amir Radfar
- College of Graduate Health Sciences, A.T. Still University, Mesa, AZ (A. Radfar).,Medichem, Barcelona, Spain (A. Radfar)
| | - David Laith Rawaf
- WHO Collaborating Centre for Public Health Education and Training (D.L.R.), Imperial College London, United Kingdom.,University College London Hospitals, United Kingdom (D.L.R.)
| | - Salman Rawaf
- Department of Primary Care and Public Health (S.R.), Imperial College London, United Kingdom.,Public Health England, London, United Kingdom (S.R.)
| | | | - Aziz Rezapour
- Health Management and Economics Research Center (V. Alipour, J.A., S.A., A. Rezapour), Iran University of Medical Sciences, Tehran
| | - Leonardo Roever
- Department of Clinical Research, Federal University of Uberl ândia, Brazil (L.R.)
| | - Anas M Saad
- Faculty of Medicine, Ain Shams University, Cairo, Egypt (A.M.S.)
| | | | | | - Karen Sliwa
- Department of Medicine, University of Cape Town, South Africa (A.P.K., G.A.M., K.S.)
| | - Berhe Etsay Tesfay
- Department of Public Health, Adigrat University, Tigray, Ethiopia (B.E.T.)
| | - Bach Xuan Tran
- Department of Health Economics, Hanoi Medical University, Vietnam (B.X.T.)
| | - Irfan Ullah
- Gomal Center of Biochemistry and Biotechnology, Gomal University, Faisalabad, Pakistan (I.U.).,TB Culture Laboratory, Mufti Mehmood Memorial Teaching Hospital, Dera Ismail Khan, Khyber Pakhtunkhwa, Pakistan (I.U.)
| | | | | | - Charles D A Wolfe
- School of Population Health & Environmental Sciences, King's College London, United Kingdom (C.D.A.W.).,Biomedical Research Council, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom (C.D.A.W.)
| | - Naohiro Yonemoto
- Department of Psychopharmacology, National Center of Neurology and Psychiatry, Tokyo, Japan (N.Y.)
| | - Gregory A Roth
- Institute for Health Metrics and Evaluation (S.Y., C.O.J., C.M.B., S.I.H., A.H.M., M.R.N., G.A.R.), University of Washington, Seattle.,Department of Health Metrics Sciences (A.H.M., G.A.R.), University of Washington, Seattle.,Division of Cardiology (C.M.O., G.A.R.), University of Washington, Seattle
| | | |
Collapse
|
49
|
Angell SY, McConnell MV, Anderson CA, Bibbins-Domingo K, Boyle DS, Capewell S, Ezzati M, de Ferranti S, Gaskin DJ, Goetzel RZ, Huffman MD, Jones M, Khan YM, Kim S, Kumanyika SK, McCray AT, Merritt RK, Milstein B, Mozaffarian D, Norris T, Roth GA, Sacco RL, Saucedo JF, Shay CM, Siedzik D, Saha S, Warner JJ. The American Heart Association 2030 Impact Goal: A Presidential Advisory From the American Heart Association. Circulation 2020; 141:e120-e138. [DOI: 10.1161/cir.0000000000000758] [Citation(s) in RCA: 84] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Each decade, the American Heart Association (AHA) develops an Impact Goal to guide its overall strategic direction and investments in its research, quality improvement, advocacy, and public health programs. Guided by the AHA’s new Mission Statement, to be a relentless force for a world of longer, healthier lives, the 2030 Impact Goal is anchored in an understanding that to achieve cardiovascular health for all, the AHA must include a broader vision of health and well-being and emphasize health equity. In the next decade, by 2030, the AHA will strive to equitably increase healthy life expectancy beyond current projections, with global and local collaborators, from 66 years of age to at least 68 years of age across the United States and from 64 years of age to at least 67 years of age worldwide. The AHA commits to developing additional targets for equity and well-being to accompany this overarching Impact Goal. To attain the 2030 Impact Goal, we recommend a thoughtful evaluation of interventions available to the public, patients, providers, healthcare delivery systems, communities, policy makers, and legislators. This presidential advisory summarizes the task force’s main considerations in determining the 2030 Impact Goal and the metrics to monitor progress. It describes the aspiration that these goals will be achieved by working with a diverse community of volunteers, patients, scientists, healthcare professionals, and partner organizations needed to ensure success.
Collapse
|
50
|
Zimmerman MS, Smith AGC, Sable CA, Echko MM, Wilner LB, Olsen HE, Atalay HT, Awasthi A, Bhutta ZA, Boucher JL, Castro F, Cortesi PA, Dubey M, Fischer F, Hamidi S, Hay SI, Hoang CL, Hugo-Hamman C, Jenkins KJ, Kar A, Khalil IA, Kumar RK, Kwan GF, Mengistu DT, Mokdad AH, Naghavi M, Negesa L, Negoi I, Negoi RI, Nguyen CT, Nguyen HLT, Nguyen LH, Nguyen SH, Nguyen TH, Nixon MR, Noubiap JJ, Patel S, Peprah EK, Reiner RC, Roth GA, Temsah MH, Tovani-Palone MR, Towbin JA, Tran BX, Tran TT, Truong NT, Vos T, Vosoughi K, Weintraub RG, Weldegwergs KG, Zaidi Z, Zheleva B, Zuhlke L, Murray CJL, Martin GR, Kassebaum NJ. Global, regional, and national burden of congenital heart disease, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet Child Adolesc Health 2020; 4:185-200. [PMID: 31978374 PMCID: PMC7645774 DOI: 10.1016/s2352-4642(19)30402-x] [Citation(s) in RCA: 293] [Impact Index Per Article: 73.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Revised: 11/25/2019] [Accepted: 11/27/2019] [Indexed: 12/21/2022]
Abstract
BACKGROUND Previous congenital heart disease estimates came from few data sources, were geographically narrow, and did not evaluate congenital heart disease throughout the life course. Completed as part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2017, this study aimed to provide comprehensive estimates of congenital heart disease mortality, prevalence, and disability by age for 195 countries and territories from 1990 to 2017. METHODS Mortality estimates were generated for aggregate congenital heart disease and non-fatal estimates for five subcategories (single ventricle and single ventricle pathway congenital heart anomalies; severe congenital heart anomalies excluding single ventricle heart defects; critical malformations of great vessels, congenital valvular heart disease, and patent ductus arteriosus; ventricular septal defect and atrial septal defect; and other congenital heart anomalies), for 1990 through to 2017. All available global data were systematically analysed to generate congenital heart disease mortality estimates (using Cause of Death Ensemble modelling) and prevalence estimates (DisMod-MR 2·1). Systematic literature reviews of all types of congenital anomalies to capture information on prevalence, associated mortality, and long-term health outcomes on congenital heart disease informed subsequent disability estimates. FINDINGS Congenital heart disease caused 261 247 deaths (95% uncertainty interval 216 567-308 159) globally in 2017, a 34·5% decline from 1990, with 180 624 deaths (146 825-214 178) being among infants (aged <1 years). Congenital heart disease mortality rates declined with increasing Socio-demographic Index (SDI); most deaths occurred in countries in the low and low-middle SDI quintiles. The prevalence rates of congenital heart disease at birth changed little temporally or by SDI, resulting in 11 998 283 (10 958 658-13 123 888) people living with congenital heart disease globally, an 18·7% increase from 1990 to 2017, and causing a total of 589 479 (287 200-973 359) years lived with disability. INTERPRETATION Congenital heart disease is a large, rapidly emerging global problem in child health. Without the ability to substantially alter the prevalence of congenital heart disease, interventions and resources must be used to improve survival and quality of life. Our findings highlight the large global inequities in congenital heart disease and can serve as a starting point for policy changes to improve screening, treatment, and data collection. FUNDING Bill & Melinda Gates Foundation.
Collapse
|