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Shippee TP, Parikh RR, Baker ZG, Bucy TI, Ng W, Jarosek S, Qin X, Woodhouse M, Nkimbeng M, McCarthy T. Racial Differences in Nursing Home Quality of Life Among Residents Living With Alzheimer's Disease and Related Dementias. J Aging Health 2024; 36:379-389. [PMID: 37493607 DOI: 10.1177/08982643231191164] [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] [Subscribe] [Scholar Register] [Indexed: 07/27/2023]
Abstract
ObjectivesAmong nursing home (NH) residents with Alzheimer's disease (AD) and AD-related dementias (AD/ADRD), racial/ethnic disparities in quality of care exist. However, little is known about quality of life (QoL). This study examines racial/ethnic differences in self-reported QoL among NH residents with AD/ADRD. Methods: Validated, in-person QoL surveys from 12,562 long-stay NH residents with AD/ADRD in Minnesota (2012-2015) were linked to Minimum Data Set assessments and facility characteristics. Hierarchical linear models assessed disparities in resident-reported mean QoL score (range, 0-100 points), adjusting for case-mix and facility factors. Results: Compared to White residents, racially/ethnically minoritized residents reported significantly lower total mean QoL scores (75.53 points vs. 80.34 points, p < .001). After adjustment for resident- and facility-level characteristics, significant racial/ethnic differences remained, with large disparities in food enjoyment, attention from staff, and engagement domains. Discussion: Policy changes and practice guidelines are needed to address racial/ethnic disparities in QoL of NH residents with AD/ADRD.
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Affiliation(s)
- Tetyana Pylypiv Shippee
- Division of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Romil R Parikh
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Zachary G Baker
- Edson College of Nursing and Health Innovation, Arizona State University, Tempe, AZ, USA
| | - Taylor I Bucy
- Division of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Weiwen Ng
- Division of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Stephanie Jarosek
- Division of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Xuanzi Qin
- Department of Health Policy and Management, University of Maryland School of Public Health, College Park, MD, USA
| | - Mark Woodhouse
- Division of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Manka Nkimbeng
- Division of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Teresa McCarthy
- Department of Family Medicine, University of Minnesota Medical School, Minneapolis, MN, USA
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Urbanski DP, Wolf JM, Langworthy BW, Parikh RR, Jutkowitz E, Shippee TP. Reported Unmet Hearing Aid Need in Older People With Dementia: The US National Core Indicators Survey. J Am Med Dir Assoc 2024; 25:853-859. [PMID: 38643971 DOI: 10.1016/j.jamda.2024.03.107] [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: 10/19/2023] [Revised: 03/13/2024] [Accepted: 03/14/2024] [Indexed: 04/23/2024]
Abstract
OBJECTIVES Hearing aids have important health benefits for older adults with Alzheimer disease and related dementias (ADRD); however, hearing aid adoption in this group is low. This study aimed to determine where to target hearing aid interventions for American long-term care recipients with ADRD by examining the association of ADRD and residence type with respondent-reported unmet hearing aid need. DESIGN, SETTING, AND PARTICIPANTS This cross-sectional study used data from the United States National Core Indicators-Aging and Disabilities survey (2015-2019) for long-term care recipients aged ≥65 years. METHODS We used multivariable logistic regression to model the likelihood of reporting unmet hearing aid need conditional on ADRD status and residence type (own/family house or apartment, residential care, or nursing facility/home), adjusting for sociodemographic factors and response type (self vs proxy). RESULTS Of the 25,492 respondents [median (IQR) age, 77 (71, 84) years; 7074 (27.8%) male], 5442 (21.4%) had ADRD and 3659 (14.4%) owned hearing aids. Residence types were 17,004 (66.8%) own/family house or apartment, 4966 (19.5%) residential care, and 3522 (13.8%) nursing home. Among non-hearing aid owners, ADRD [adjusted odds ratio (AOR) 0.90, 95% CI 0.80-1.0] and residence type were associated with respondent-reported unmet hearing aid need. Compared to the nursing home reference group, respondents in their own/family home (AOR 1.85, 95% CI 1.61-2.13) and residential care (AOR 1.30, 95% CI 1.10-1.53) were more likely to report unmet hearing aid need. This pattern was significantly more pronounced in people with ADRD than in those without, stemming from an interaction between ADRD and residence type. CONCLUSIONS AND IMPLICATIONS American long-term care recipients with ADRD living in their own/family home are more likely to report unmet hearing aid need than those with ADRD in institutional and congregate settings. This information can inform the design and delivery of hearing interventions for older adults with ADRD.
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Affiliation(s)
- Dana P Urbanski
- Department of Speech-Language-Hearing Sciences, University of Minnesota, Minneapolis, MN, USA; Division of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis, MN, USA.
| | - Jack M Wolf
- Division of Biostatistics, University of Minnesota School of Public Health, Minneapolis, MN, USA
| | - Benjamin W Langworthy
- Division of Biostatistics, University of Minnesota School of Public Health, Minneapolis, MN, USA
| | - Romil R Parikh
- Division of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis, MN, USA
| | - Eric Jutkowitz
- Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, RI, USA; Center of Innovation in Long Term Services and Supports, Providence VA Medical Center, Providence, RI, USA; Evidence Synthesis Program Center Providence VA Medical Center, Providence, RI, USA
| | - Tetyana P Shippee
- Division of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis, MN, USA
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Bender RG, Sirota SB, Swetschinski LR, Dominguez RMV, Novotney A, Wool EE, Ikuta KS, Vongpradith A, Rogowski ELB, Doxey M, Troeger CE, Albertson SB, Ma J, He J, Maass KL, A.F.Simões E, Abdoun M, Abdul Aziz JM, Abdulah DM, Abu Rumeileh S, Abualruz H, Aburuz S, Adepoju AV, Adha R, Adikusuma W, Adra S, Afraz A, Aghamiri S, Agodi A, Ahmadzade AM, Ahmed H, Ahmed A, Akinosoglou K, AL-Ahdal TMA, Al-amer RM, Albashtawy M, AlBataineh MT, Alemi H, Al-Gheethi AAS, Ali A, Ali SSS, Alqahtani JS, AlQudah M, Al-Tawfiq JA, Al-Worafi YM, Alzoubi KH, Amani R, Amegbor PM, Ameyaw EK, Amuasi JH, Anil A, Anyanwu PE, Arafat M, Areda D, Arefnezhad R, Atalell KA, Ayele F, Azzam AY, Babamohamadi H, Babin FX, Bahurupi Y, Baker S, Banik B, Barchitta M, Barqawi HJ, Basharat Z, Baskaran P, Batra K, Batra R, Bayileyegn NS, Beloukas A, Berkley JA, Beyene KA, Bhargava A, Bhattacharjee P, Bielicki JA, Bilalaga MM, Bitra VR, Brown CS, Burkart K, Bustanji Y, Carr S, Chahine Y, Chattu VK, Chichagi F, Chopra H, Chukwu IS, Chung E, Dadana S, Dai X, Dandona L, Dandona R, Darban I, Dash NR, Dashti M, Dashtkoohi M, Dekker DM, Delgado-Enciso I, Devanbu VGC, Dhama K, Diao N, Do THP, Dokova KG, Dolecek C, Dziedzic AM, Eckmanns T, Ed-Dra A, Efendi F, Eftekharimehrabad A, Eyre DW, Fahim A, Feizkhah A, Felton TW, Ferreira N, Flor LS, Gaihre S, Gebregergis MW, Gebrehiwot M, Geffers C, Gerema U, Ghaffari K, Goldust M, Goleij P, Guan SY, Gudeta MD, Guo C, Gupta VB, Gupta I, Habibzadeh F, Hadi NR, Haeuser E, Hailu WB, Hajibeygi R, Haj-Mirzaian A, Haller S, Hamiduzzaman M, Hanifi N, Hansel J, Hasnain MS, Haubold J, Hoan NQ, Huynh HH, Iregbu KC, Islam MR, Jafarzadeh A, Jairoun AA, Jalili M, Jomehzadeh N, Joshua CE, Kabir MA, Kamal Z, Kanmodi KK, Kantar RS, Karimi Behnagh A, Kaur N, Kaur H, Khamesipour F, Khan MN, Khan suheb MZ, Khanal V, Khatab K, Khatib MN, Kim G, Kim K, Kitila ATT, Komaki S, Krishan K, Krumkamp R, Kuddus MA, Kurniasari MD, Lahariya C, Latifinaibin K, Le NHH, Le TTT, Le TDT, Lee SW, LEPAPE A, Lerango TL, Li MC, Mahboobipour AA, Malhotra K, Mallhi TH, Manoharan A, Martinez-Guerra BA, Mathioudakis AG, Mattiello R, May J, McManigal B, McPhail SM, Mekene Meto T, Mendez-Lopez MAM, Meo SA, Merati M, Mestrovic T, Mhlanga L, Minh LHN, Misganaw A, Mishra V, Misra AK, Mohamed NS, Mohammadi E, Mohammed M, Mohammed M, Mokdad AH, Monasta L, Moore CE, Motappa R, Mougin V, Mousavi P, Mulita F, Mulu AA, Naghavi P, Naik GR, Nainu F, Nair TS, Nargus S, Negaresh M, Nguyen HTH, Nguyen DH, Nguyen VT, Nikolouzakis TK, Noman EA, Nri-Ezedi CA, Odetokun IA, Okwute PG, Olana MD, Olanipekun TO, Olasupo OO, Olivas-Martinez A, Ordak M, Ortiz-Brizuela E, Ouyahia A, Padubidri JR, Pak A, Pandey A, Pantazopoulos I, Parija PP, Parikh RR, Park S, Parthasarathi A, Pashaei A, Peprah P, Pham HT, Poddighe D, Pollard A, Ponce-De-Leon A, Prakash PY, Prates EJS, Quan NK, Raee P, Rahim F, Rahman M, Rahmati M, Ramasamy SK, Ranjan S, Rao IR, Rashid AM, Rattanavong S, Ravikumar N, Reddy MMRK, Redwan EMM, Reiner RC, Reyes LF, Roberts T, Rodrigues M, Rosenthal VD, Roy P, Runghien T, Saeed U, Saghazadeh A, Saheb Sharif-Askari N, Saheb Sharif-Askari F, Sahoo SS, Sahu M, Sakshaug JW, Salami AA, Saleh MA, Salehi omran H, Sallam M, Samadzadeh S, Samodra YL, Sanjeev RK, Sarasmita MA, Saravanan A, Sartorius B, Saulam J, Schumacher AE, Seyedi SA, Shafie M, Shahid S, Sham S, Shamim MA, Shamshirgaran MA, Shastry RP, Sherchan SP, Shiferaw D, Shittu A, Siddig EE, Sinto R, Sood A, Sorensen RJD, Stergachis A, Stoeva TZ, Swain CK, Szarpak L, Tamuzi JL, Temsah MH, Tessema MBT, Thangaraju P, Tran NM, Tran NH, Tumurkhuu M, Ty SS, Udoakang AJ, Ulhaq I, Umar TP, Umer AA, Vahabi SM, Vaithinathan AG, Van den Eynde J, Walson JL, Waqas M, Xing Y, Yadav MK, Yahya G, Yon DK, Zahedi Bialvaei A, Zakham F, Zeleke AM, Zhai C, Zhang Z, Zhang H, Zielińska M, Zheng P, Aravkin AY, Vos T, Hay SI, Mosser JF, Lim SS, Naghavi M, Murray CJL, Kyu HH. Global, regional, and national incidence and mortality burden of non-COVID-19 lower respiratory infections and aetiologies, 1990-2021: a systematic analysis from the Global Burden of Disease Study 2021. Lancet Infect Dis 2024:S1473-3099(24)00176-2. [PMID: 38636536 DOI: 10.1016/s1473-3099(24)00176-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 02/19/2024] [Accepted: 03/07/2024] [Indexed: 04/20/2024]
Abstract
BACKGROUND Lower respiratory infections (LRIs) are a major global contributor to morbidity and mortality. In 2020-21, non-pharmaceutical interventions associated with the COVID-19 pandemic reduced not only the transmission of SARS-CoV-2, but also the transmission of other LRI pathogens. Tracking LRI incidence and mortality, as well as the pathogens responsible, can guide health-system responses and funding priorities to reduce future burden. We present estimates from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 of the burden of non-COVID-19 LRIs and corresponding aetiologies from 1990 to 2021, inclusive of pandemic effects on the incidence and mortality of select respiratory viruses, globally, regionally, and for 204 countries and territories. METHODS We estimated mortality, incidence, and aetiology attribution for LRI, defined by the GBD as pneumonia or bronchiolitis, not inclusive of COVID-19. We analysed 26 259 site-years of mortality data using the Cause of Death Ensemble model to estimate LRI mortality rates. We analysed all available age-specific and sex-specific data sources, including published literature identified by a systematic review, as well as household surveys, hospital admissions, health insurance claims, and LRI mortality estimates, to generate internally consistent estimates of incidence and prevalence using DisMod-MR 2.1. For aetiology estimation, we analysed multiple causes of death, vital registration, hospital discharge, microbial laboratory, and literature data using a network analysis model to produce the proportion of LRI deaths and episodes attributable to the following pathogens: Acinetobacter baumannii, Chlamydia spp, Enterobacter spp, Escherichia coli, fungi, group B streptococcus, Haemophilus influenzae, influenza viruses, Klebsiella pneumoniae, Legionella spp, Mycoplasma spp, polymicrobial infections, Pseudomonas aeruginosa, respiratory syncytial virus (RSV), Staphylococcus aureus, Streptococcus pneumoniae, and other viruses (ie, the aggregate of all viruses studied except influenza and RSV), as well as a residual category of other bacterial pathogens. FINDINGS Globally, in 2021, we estimated 344 million (95% uncertainty interval [UI] 325-364) incident episodes of LRI, or 4350 episodes (4120-4610) per 100 000 population, and 2·18 million deaths (1·98-2·36), or 27·7 deaths (25·1-29·9) per 100 000. 502 000 deaths (406 000-611 000) were in children younger than 5 years, among which 254 000 deaths (197 000-320 000) occurred in countries with a low Socio-demographic Index. Of the 18 modelled pathogen categories in 2021, S pneumoniae was responsible for the highest proportions of LRI episodes and deaths, with an estimated 97·9 million (92·1-104·0) episodes and 505 000 deaths (454 000-555 000) globally. The pathogens responsible for the second and third highest episode counts globally were other viral aetiologies (46·4 million [43·6-49·3] episodes) and Mycoplasma spp (25·3 million [23·5-27·2]), while those responsible for the second and third highest death counts were S aureus (424 000 [380 000-459 000]) and K pneumoniae (176 000 [158 000-194 000]). From 1990 to 2019, the global all-age non-COVID-19 LRI mortality rate declined by 41·7% (35·9-46·9), from 56·5 deaths (51·3-61·9) to 32·9 deaths (29·9-35·4) per 100 000. From 2019 to 2021, during the COVID-19 pandemic and implementation of associated non-pharmaceutical interventions, we estimated a 16·0% (13·1-18·6) decline in the global all-age non-COVID-19 LRI mortality rate, largely accounted for by a 71·8% (63·8-78·9) decline in the number of influenza deaths and a 66·7% (56·6-75·3) decline in the number of RSV deaths. INTERPRETATION Substantial progress has been made in reducing LRI mortality, but the burden remains high, especially in low-income and middle-income countries. During the COVID-19 pandemic, with its associated non-pharmaceutical interventions, global incident LRI cases and mortality attributable to influenza and RSV declined substantially. Expanding access to health-care services and vaccines, including S pneumoniae, H influenzae type B, and novel RSV vaccines, along with new low-cost interventions against S aureus, could mitigate the LRI burden and prevent transmission of LRI-causing pathogens. FUNDING Bill & Melinda Gates Foundation, Wellcome Trust, and Department of Health and Social Care (UK).
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Ferrari AJ, Santomauro DF, Aali A, Abate YH, Abbafati C, Abbastabar H, Abd ElHafeez S, Abdelmasseh M, Abd-Elsalam S, Abdollahi A, Abdullahi A, Abegaz KH, Abeldaño Zuñiga RA, Aboagye RG, Abolhassani H, Abreu LG, Abualruz H, Abu-Gharbieh E, Abu-Rmeileh NME, Ackerman IN, Addo IY, Addolorato G, Adebiyi AO, Adepoju AV, Adewuyi HO, Afyouni S, Afzal S, Afzal S, Agodi A, Ahmad A, Ahmad D, Ahmad F, Ahmad S, Ahmed A, Ahmed LA, Ahmed MB, Ajami M, Akinosoglou K, Akkaif MA, Al Hasan SM, Alalalmeh SO, Al-Aly Z, Albashtawy M, Aldridge RW, Alemu MD, Alemu YM, Alene KA, Al-Gheethi AAS, Alharrasi M, Alhassan RK, Ali MU, Ali R, Ali SSS, Alif SM, Aljunid SM, Al-Marwani S, Almazan JU, Alomari MA, Al-Omari B, Altaany Z, Alvis-Guzman N, Alvis-Zakzuk NJ, Alwafi H, Al-Wardat MS, Al-Worafi YM, Aly S, Alzoubi KH, Amare AT, Amegbor PM, Ameyaw EK, Amin TT, Amindarolzarbi A, Amiri S, Amugsi DA, Ancuceanu R, Anderlini D, Anderson DB, Andrade PP, Andrei CL, Ansari H, Antony CM, Anwar S, Anwar SL, Anwer R, Anyanwu PE, Arab JP, Arabloo J, Arafat M, Araki DT, Aravkin AY, Arkew M, Armocida B, Arndt MB, Arooj M, Artamonov AA, Aruleba RT, Arumugam A, Ashbaugh C, Ashemo MY, Ashraf M, Asika MO, Askari E, Astell-Burt T, Athari SS, Atorkey P, Atout MMW, Atreya A, Aujayeb A, Ausloos M, Avan A, Awotidebe AW, Awuviry-Newton K, Ayala Quintanilla BP, Ayuso-Mateos JL, Azadnajafabad S, Azevedo RMS, Babu AS, Badar M, Badiye AD, Baghdadi S, Bagheri N, Bah S, Bai R, Baker JL, Bakkannavar SM, Bako AT, Balakrishnan S, Bam K, Banik PC, Barchitta M, Bardhan M, Bardideh E, Barker-Collo SL, Barqawi HJ, Barrow A, Barteit S, Barua L, Bashiri Aliabadi S, Basiru A, Basu S, Basu S, Bathini PP, Batra K, Baune BT, Bayileyegn NS, Behnam B, Behnoush AH, Beiranvand M, Bejarano Ramirez DF, Bell ML, Bello OO, Beloukas A, Bensenor IM, Berezvai Z, Bernabe E, Bernstein RS, Bettencourt PJG, Bhagavathula AS, Bhala N, Bhandari D, Bhargava A, Bhaskar S, Bhat V, Bhatti GK, Bhatti JS, Bhatti MS, Bhatti R, Bhutta ZA, Bikbov B, Bishai JD, Bisignano C, Bitra VR, Bjørge T, Bodolica V, Bodunrin AO, Bogale EK, Bonakdar Hashemi M, Bonny A, Bora Basara B, Borhany H, Boxe C, Brady OJ, Bragazzi NL, Braithwaite D, Brant LC, Brauer M, Breitner S, Brenner H, Brown J, Brugha T, Bulamu NB, Buonsenso D, Burkart K, Burns RA, Busse R, Bustanji Y, Butt ZA, Byun J, Caetano dos Santos FL, Calina D, Cámera LA, Campos-Nonato IR, Cao C, Capodici A, Carr S, Carreras G, Carugno A, Carvalho M, Castaldelli-Maia JM, Castañeda-Orjuela CA, Castelpietra G, Catapano AL, Cattaruzza MS, Caye A, Cegolon L, Cembranel F, Cenderadewi M, Cerin E, Chakraborty PA, Chan JSK, Chan RNC, Chandika RM, Chandrasekar EK, Charalampous P, Chattu VK, Chatzimavridou-Grigoriadou V, Chen AW, Chen AT, Chen CS, Chen H, Chen NM, Cheng ETW, Chimed-Ochir O, Chimoriya R, Ching PR, Cho WCS, Choi S, Chong B, Chong YY, Choudhari SG, Chowdhury R, Christensen SWM, Chu DT, Chukwu IS, Chung E, Chung E, Chutiyami M, Claassens MM, Cogen RM, Columbus A, Conde J, Cortesi PA, Cousin E, Criqui MH, Cruz-Martins N, Dadras O, Dai S, Dai X, Dai Z, Dalaba MA, Damiani G, Das JK, Das S, Dashti M, Dávila-Cervantes CA, Davletov K, De Leo D, Debele AT, Debopadhaya S, DeCleene NK, Deeba F, Degenhardt L, Del Bo' C, Delgado-Enciso I, Demetriades AK, Denova-Gutiérrez E, Dervenis N, Desai HD, Desai R, Deuba K, Dhama K, Dharmaratne SD, Dhingra S, Dias da Silva D, Diaz D, Diaz LA, Diaz MJ, Dima A, Ding DD, Dirac MA, Do THP, do Prado CB, Dohare S, Dominguez RMV, Dong W, Dongarwar D, D'Oria M, Dorsey ER, Doshmangir L, Dowou RK, Driscoll TR, Dsouza HL, Dsouza V, Dube J, Dumith SC, Duncan BB, Duraes AR, Duraisamy S, Durojaiye OC, Dzianach PA, Dziedzic AM, Eboreime E, Ebrahimi A, Edinur HA, Edvardsson D, Eikemo TA, Eini E, Ekholuenetale M, Ekundayo TC, El Sayed I, El Tantawi M, Elbarazi I, Elemam NM, ElGohary GMT, Elhadi M, Elmeligy OAA, ELNahas G, Elshaer M, Elsohaby I, Engelbert Bain L, Erkhembayar R, Eshrati B, Estep K, Fabin N, Fagbamigbe AF, Falzone L, Fareed M, Farinha CSES, Faris MEM, Faro A, Farrokhi P, Fatehizadeh A, Fauk NK, Feigin VL, Feng X, Fereshtehnejad SM, Feroze AH, Ferreira N, Ferreira PH, Fischer F, Flavel J, Flood D, Flor LS, Foigt NA, Folayan MO, Force LM, Fortuna D, Foschi M, Franklin RC, Freitas A, Fukumoto T, Furtado JM, Gaal PA, Gadanya MA, Gaidhane AM, Gaihre S, Galali Y, Ganbat M, Gandhi AP, Ganesan B, Ganie MA, Ganiyani MA, Gardner WM, Gebi TG, Gebregergis MW, Gebrehiwot M, Gebremariam TBB, Gebremeskel TG, Gela YY, Georgescu SR, Getachew Obsa A, Gething PW, Getie M, Ghadiri K, Ghadirian F, Ghailan KY, Ghajar A, Ghasemi M, Ghasempour Dabaghi G, Ghasemzadeh A, Ghazy RM, Gholamrezanezhad A, Ghorbani M, Ghotbi E, Gibson RM, Gill TK, Ginindza TG, Girmay A, Glasbey JC, Göbölös L, Godinho MA, Goharinezhad S, Goldust M, Golechha M, Goleij P, Gona PN, Gorini G, Goulart AC, Grada A, Grivna M, Guan SY, Guarducci G, Gubari MIM, Gudeta MD, Guha A, Guicciardi S, Gulati S, Gulisashvili D, Gunawardane DA, Guo C, Gupta AK, Gupta B, Gupta I, Gupta M, Gupta R, Gupta VB, Gupta VK, Gupta VK, Gutiérrez RA, Habibzadeh F, Habibzadeh P, Haddadi R, Hadi NR, Haep N, Hafezi-Nejad N, Hafiz A, Hagins H, Halboub ES, Halimi A, Haller S, Halwani R, Hamilton EB, Hankey GJ, Hannan MA, Haque MN, Harapan H, Haro JM, Hartvigsen J, Hasaballah AI, Hasan I, Hasanian M, Hasnain MS, Hassan A, Haubold J, Havmoeller RJ, Hay SI, Hayat K, Hebert JJ, Hegazi OE, Heidari G, Helfer B, Hemmati M, Hendrie D, Henson CA, Hezam K, Hiraike Y, Hoan NQ, Holla R, Hon J, Hossain MM, Hosseinzadeh H, Hosseinzadeh M, Hostiuc M, Hostiuc S, Hsu JM, Huang J, Hugo FN, Hushmandi K, Hussain J, Hussein NR, Huynh CK, Huynh HH, Hwang BF, Iannucci VC, Ihler AL, Ikiroma AI, Ikuta KS, Ilesanmi OS, Ilic IM, Ilic MD, Imam MT, Immurana M, Irham LM, Islam MR, Islam SMS, Islami F, Ismail F, Ismail NE, Isola G, Iwagami M, Iwu CCD, Iyer M, Jaafari J, Jacobsen KH, Jadidi-Niaragh F, Jafarinia M, Jaggi K, Jahankhani K, Jahanmehr N, Jahrami H, Jain A, Jain N, Jairoun AA, Jaiswal A, Jakovljevic M, Jatau AI, Javadov S, Javaheri T, Jayapal SK, Jayaram S, Jee SH, Jeganathan J, Jeyakumar A, Jha AK, Jiang H, Jin Y, Jonas JB, Joo T, Joseph A, Joseph N, Joshua CE, Jozwiak JJ, Jürisson M, K V, Kaambwa B, Kabir A, Kabir Z, Kadashetti V, Kalani R, Kalankesh LR, Kaliyadan F, Kalra S, Kamenov K, Kamyari N, Kanagasabai T, Kandel H, Kanmanthareddy AR, Kanmodi KK, Kantar RS, Karaye IM, Karim A, Karimi SE, Karimi Y, Kasraei H, Kassel MB, Kauppila JH, Kawakami N, Kayode GA, Kazemi F, Kazemian S, Keikavoosi-Arani L, Keller C, Kempen JH, Kerr JA, Keshtkar K, Kesse-Guyot E, Keykhaei M, Khajuria H, Khalaji A, Khalid A, Khalid N, Khalilian A, Khamesipour F, Khan A, Khan I, Khan M, Khan MAB, Khanmohammadi S, Khatab K, Khatami F, Khatatbeh MM, Khater AM, Khayat Kashani HR, Khidri FF, Khodadoust E, Khormali M, Khorrami Z, Kifle ZD, Kim MS, Kimokoti RW, Kisa A, Kisa S, Knudsen AKS, Kocarnik JM, Kochhar S, Koh HY, Kolahi AA, Kompani F, Koren G, Korzh O, Kosen S, Koulmane Laxminarayana SL, Krishan K, Krishna V, Krishnamoorthy V, Kuate Defo B, Kuddus MA, Kuddus M, Kuitunen I, Kulkarni V, Kumar M, Kumar N, Kumar R, Kurmi OP, Kusuma D, Kyu HH, La Vecchia C, Lacey B, Ladan MA, Laflamme L, Lafranconi A, Lahariya C, Lai DTC, Lal DK, Lalloo R, Lallukka T, Lám J, Lan Q, Lan T, Landires I, Lanfranchi F, Langguth B, Laplante-Lévesque A, Larijani B, Larsson AO, Lasrado S, Lauriola P, Le HH, Le LKD, Le NHH, Le TDT, Leasher JL, Ledda C, Lee M, Lee PH, Lee SW, Lee SW, Lee WC, Lee YH, LeGrand KE, Lenzi J, Leong E, Leung J, Li MC, Li W, Li X, Li Y, Li Y, Lim LL, Lim SS, Lindstrom M, Linn S, Liu G, Liu R, Liu S, Liu W, Liu X, Liu X, Llanaj E, Lo CH, López-Bueno R, Loreche AM, Lorenzovici L, Lozano R, Lubinda J, Lucchetti G, Lunevicius R, Lusk JB, lv H, Ma ZF, Machairas N, Madureira-Carvalho ÁM, Magaña Gómez JA, Maghazachi AA, Maharjan P, Mahasha PW, Maheri M, Mahjoub S, Mahmoud MA, Mahmoudi E, Majeed A, Makris KC, Malakan Rad E, Malhotra K, Malik AA, Malik I, Malta DC, Manla Y, Mansour A, Mansouri P, 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Yehualashet SS, Yesuf SA, Yezli S, Yiğit A, Yiğit V, Yigzaw ZA, Yismaw Y, Yon DK, Yonemoto N, Younis MZ, Yu C, Yu Y, Yusuf H, Zahid MH, Zakham F, Zaki L, Zaki N, Zaman BA, Zamora N, Zand R, Zandieh GGZ, Zar HJ, Zarrintan A, Zastrozhin MS, Zhang H, Zhang N, Zhang Y, Zhao H, Zhong C, Zhong P, Zhou J, Zhu Z, Ziafati M, Zielińska M, Zimsen SRM, Zoladl M, Zumla A, Zyoud SH, Vos T, Murray CJL. Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet 2024:S0140-6736(24)00757-8. [PMID: 38642570 DOI: 10.1016/s0140-6736(24)00757-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 03/07/2024] [Accepted: 04/12/2024] [Indexed: 04/22/2024]
Abstract
BACKGROUND Detailed, comprehensive, and timely reporting on population health by underlying causes of disability and premature death is crucial to understanding and responding to complex patterns of disease and injury burden over time and across age groups, sexes, and locations. The availability of disease burden estimates can promote evidence-based interventions that enable public health researchers, policy makers, and other professionals to implement strategies that can mitigate diseases. It can also facilitate more rigorous monitoring of progress towards national and international health targets, such as the Sustainable Development Goals. For three decades, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) has filled that need. A global network of collaborators contributed to the production of GBD 2021 by providing, reviewing, and analysing all available data. GBD estimates are updated routinely with additional data and refined analytical methods. GBD 2021 presents, for the first time, estimates of health loss due to the COVID-19 pandemic. METHODS The GBD 2021 disease and injury burden analysis estimated years lived with disability (YLDs), years of life lost (YLLs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries using 100 983 data sources. Data were extracted from vital registration systems, verbal autopsies, censuses, household surveys, disease-specific registries, health service contact data, and other sources. YLDs were calculated by multiplying cause-age-sex-location-year-specific prevalence of sequelae by their respective disability weights, for each disease and injury. YLLs were calculated by multiplying cause-age-sex-location-year-specific deaths by the standard life expectancy at the age that death occurred. DALYs were calculated by summing YLDs and YLLs. HALE estimates were produced using YLDs per capita and age-specific mortality rates by location, age, sex, year, and cause. 95% uncertainty intervals (UIs) were generated for all final estimates as the 2·5th and 97·5th percentiles values of 500 draws. Uncertainty was propagated at each step of the estimation process. Counts and age-standardised rates were calculated globally, for seven super-regions, 21 regions, 204 countries and territories (including 21 countries with subnational locations), and 811 subnational locations, from 1990 to 2021. Here we report data for 2010 to 2021 to highlight trends in disease burden over the past decade and through the first 2 years of the COVID-19 pandemic. FINDINGS Global DALYs increased from 2·63 billion (95% UI 2·44-2·85) in 2010 to 2·88 billion (2·64-3·15) in 2021 for all causes combined. Much of this increase in the number of DALYs was due to population growth and ageing, as indicated by a decrease in global age-standardised all-cause DALY rates of 14·2% (95% UI 10·7-17·3) between 2010 and 2019. Notably, however, this decrease in rates reversed during the first 2 years of the COVID-19 pandemic, with increases in global age-standardised all-cause DALY rates since 2019 of 4·1% (1·8-6·3) in 2020 and 7·2% (4·7-10·0) in 2021. In 2021, COVID-19 was the leading cause of DALYs globally (212·0 million [198·0-234·5] DALYs), followed by ischaemic heart disease (188·3 million [176·7-198·3]), neonatal disorders (186·3 million [162·3-214·9]), and stroke (160·4 million [148·0-171·7]). However, notable health gains were seen among other leading communicable, maternal, neonatal, and nutritional (CMNN) diseases. Globally between 2010 and 2021, the age-standardised DALY rates for HIV/AIDS decreased by 47·8% (43·3-51·7) and for diarrhoeal diseases decreased by 47·0% (39·9-52·9). Non-communicable diseases contributed 1·73 billion (95% UI 1·54-1·94) DALYs in 2021, with a decrease in age-standardised DALY rates since 2010 of 6·4% (95% UI 3·5-9·5). Between 2010 and 2021, among the 25 leading Level 3 causes, age-standardised DALY rates increased most substantially for anxiety disorders (16·7% [14·0-19·8]), depressive disorders (16·4% [11·9-21·3]), and diabetes (14·0% [10·0-17·4]). Age-standardised DALY rates due to injuries decreased globally by 24·0% (20·7-27·2) between 2010 and 2021, although improvements were not uniform across locations, ages, and sexes. Globally, HALE at birth improved slightly, from 61·3 years (58·6-63·6) in 2010 to 62·2 years (59·4-64·7) in 2021. However, despite this overall increase, HALE decreased by 2·2% (1·6-2·9) between 2019 and 2021. INTERPRETATION Putting the COVID-19 pandemic in the context of a mutually exclusive and collectively exhaustive list of causes of health loss is crucial to understanding its impact and ensuring that health funding and policy address needs at both local and global levels through cost-effective and evidence-based interventions. A global epidemiological transition remains underway. Our findings suggest that prioritising non-communicable disease prevention and treatment policies, as well as strengthening health systems, continues to be crucially important. The progress on reducing the burden of CMNN diseases must not stall; although global trends are improving, the burden of CMNN diseases remains unacceptably high. Evidence-based interventions will help save the lives of young children and mothers and improve the overall health and economic conditions of societies across the world. Governments and multilateral organisations should prioritise pandemic preparedness planning alongside efforts to reduce the burden of diseases and injuries that will strain resources in the coming decades. FUNDING Bill & Melinda Gates Foundation.
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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:S0140-6736(24)00367-2. [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] [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.
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Padubidri JR, Pal PK, Palange PN, Palladino C, Palladino R, Palma-Alvarez RF, Pan F, Panagiotakos D, Panda-Jonas S, Pandey A, Pandey A, Pandian JD, Pangaribuan HU, Pantazopoulos I, Pardhan S, Parija PP, Parikh RR, Park S, Parthasarathi A, Pashaei A, Patel J, Patil S, Patoulias D, Pawar S, Pedersini P, Pensato U, Pereira DM, Pereira J, Pereira MO, Peres MFP, Perico N, Perna S, Petcu IR, Petermann-Rocha FE, Pham HT, Phillips MR, Pinilla-Monsalve GD, Piradov MA, Plotnikov E, Poddighe D, Polat B, Poluru R, Pond CD, Poudel GR, Pouramini A, Pourbagher-Shahri AM, Pourfridoni M, Pourtaheri N, Prakash PY, Prakash S, Prakash V, Prates EJS, Pritchett N, Purnobasuki H, Qasim NH, Qattea I, Qian G, Radhakrishnan V, Raee P, Raeisi Shahraki H, Rafique I, Raggi A, Raghav PR, Rahati MM, Rahim F, Rahimi Z, Rahimifard M, Rahman MO, Rahman MHU, Rahman M, Rahman MA, Rahmani AM, Rahmani S, Rahmani Youshanlouei H, Rahmati M, Raj Moolambally S, Rajabpour-Sanati A, Ramadan H, Ramasamy SK, Ramasubramani P, Ramazanu S, Rancic N, Rao IR, Rao SJ, Rapaka D, Rashedi V, Rashid AM, Rashidi MM, Rashidi Alavijeh M, Rasouli-Saravani A, Rawaf S, Razo C, Redwan EMM, Rekabi Bana A, Remuzzi G, Rezaei N, Rezaei N, Rezaei N, Rezaeian M, Rhee TG, Riad A, Robinson SR, Rodrigues M, Rodriguez JAB, Roever L, Rogowski ELB, Romoli M, Ronfani L, Roy P, Roy Pramanik K, Rubagotti E, Ruiz MA, Russ TC, S Sunnerhagen K, Saad AMA, Saadatian Z, Saber K, SaberiKamarposhti M, Sacco S, Saddik B, Sadeghi E, Sadeghian S, Saeed U, Saeed U, Safdarian M, Safi SZ, Sagar R, Sagoe D, Saheb Sharif-Askari F, Saheb Sharif-Askari N, Sahebkar A, Sahoo SS, Sahraian MA, Sajedi SA, Sakshaug JW, Saleh MA, Salehi Omran H, Salem MR, Salimi S, Samadi Kafil H, Samadzadeh S, Samargandy S, Samodra YL, Samuel VP, Samy AM, Sanadgol N, Sanjeev RK, Sanmarchi F, Santomauro DF, Santri IN, Santric-Milicevic MM, Saravanan A, Sarveazad A, Satpathy M, Saylan M, Sayyah M, Scarmeas N, Schlaich MP, Schuermans A, Schwarzinger M, Schwebel DC, Selvaraj S, Sendekie AK, Sengupta P, Senthilkumaran S, Serban D, Sergindo MT, Sethi Y, SeyedAlinaghi S, Seylani A, Shabani M, Shabany M, Shafie M, Shahabi S, Shahbandi A, Shahid S, Shahraki-Sanavi F, Shahsavari HR, Shahwan MJ, Shaikh MA, Shaji KS, Sham S, Shama ATT, Shamim MA, Shams-Beyranvand M, Shamsi MA, Shanawaz M, Sharath M, Sharfaei S, Sharifan A, Sharma M, Sharma R, Shashamo BB, Shayan M, Sheikhi RA, Shekhar S, Shen J, Shenoy SM, Shetty PH, Shiferaw DS, Shigematsu M, Shiri R, Shittu A, Shivakumar KM, Shokri F, Shool S, Shorofi SA, Shrestha S, Siankam Tankwanchi AB, Siddig EE, Sigfusdottir ID, Silva JP, Silva LMLR, Sinaei E, Singh BB, Singh G, Singh P, Singh S, Sirota SB, Sivakumar S, Sohag AAM, Solanki R, Soleimani H, Solikhah S, Solomon Y, Solomon Y, Song S, Song Y, Sotoudeh H, Spartalis M, Stark BA, Starnes JR, Starodubova AV, Stein DJ, Steiner TJ, Stovner LJ, Suleman M, Suliankatchi Abdulkader R, Sultana A, Sun J, Sunkersing D, Sunny A, Susianti H, Swain CK, Szeto MD, Tabarés-Seisdedos R, Tabatabaei SM, Tabatabai S, Tabish M, Taheri M, Tahvildari A, Tajbakhsh A, Tampa M, Tamuzi JJLL, Tan KK, Tang H, Tareke M, Tarigan IU, Tat NY, Tat VY, Tavakoli Oliaee R, Tavangar SM, Tavasol A, Tefera YM, Tehrani-Banihashemi A, Temesgen WA, Temsah MH, Teramoto M, Tesfaye AH, Tesfaye EG, Tesler R, Thakali O, Thangaraju P, Thapa R, Thapar R, Thomas NK, Thrift AG, Ticoalu JHV, Tillawi T, Toghroli R, Tonelli M, Tovani-Palone MR, Traini E, Tran NM, Tran NH, Tran PV, Tromans SJ, Truelsen TC, Truyen TTTT, Tsatsakis A, Tsegay GM, Tsermpini EE, Tualeka AR, Tufa DG, Ubah CS, Udoakang AJ, Ulhaq I, Umair M, Umakanthan S, Umapathi KK, Unim B, Unnikrishnan B, Vaithinathan AG, Vakilian A, Valadan Tahbaz S, Valizadeh R, Van den Eynde J, Vart P, Varthya SB, Vasankari TJ, Vaziri S, Vellingiri B, Venketasubramanian N, Verras GI, Vervoort D, Villafañe JH, Villani L, Vinueza Veloz AF, Viskadourou M, Vladimirov SK, Vlassov V, Volovat SR, Vu LT, Vujcic IS, Wagaye B, Waheed Y, Wahood W, Walde MT, Wang F, Wang S, Wang Y, Wang YP, Waqas M, Waris A, Weerakoon KG, Weintraub RG, Weldemariam AH, Westerman R, Whisnant JL, Wickramasinghe DP, Wickramasinghe ND, Willekens B, Wilner LB, Winkler AS, Wolfe CDA, Wu AM, Wulf Hanson S, Xu S, Xu X, Yadollahpour A, Yaghoubi S, Yahya G, Yamagishi K, Yang L, Yano Y, Yao Y, Yehualashet SS, Yeshaneh A, Yesiltepe M, Yi S, Yiğit A, Yiğit V, Yon DK, Yonemoto N, You Y, Younis MZ, Yu C, Yusuf H, Zadey S, Zahedi M, Zakham F, Zaki N, Zali A, Zamagni G, Zand R, Zandieh GGZ, Zangiabadian M, Zarghami A, Zastrozhin MS, Zeariya MGM, Zegeye ZB, Zeukeng F, Zhai C, Zhang C, Zhang H, Zhang Y, Zhang ZJ, Zhao H, Zhao Y, Zheng P, Zhou H, Zhu B, Zhumagaliuly A, Zielińska M, Zikarg YT, Zoladl M, Murray CJL, Ong KL, Feigin VL, Vos T, Dua T. Global, regional, and national burden of disorders affecting the nervous system, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet Neurol 2024; 23:344-381. [PMID: 38493795 PMCID: PMC10949203 DOI: 10.1016/s1474-4422(24)00038-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 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: 05/21/2023] [Revised: 01/23/2024] [Accepted: 01/26/2024] [Indexed: 03/19/2024]
Abstract
BACKGROUND Disorders affecting the nervous system are diverse and include neurodevelopmental disorders, late-life neurodegeneration, and newly emergent conditions, such as cognitive impairment following COVID-19. Previous publications from the Global Burden of Disease, Injuries, and Risk Factor Study estimated the burden of 15 neurological conditions in 2015 and 2016, but these analyses did not include neurodevelopmental disorders, as defined by the International Classification of Diseases (ICD)-11, or a subset of cases of congenital, neonatal, and infectious conditions that cause neurological damage. Here, we estimate nervous system health loss caused by 37 unique conditions and their associated risk factors globally, regionally, and nationally from 1990 to 2021. METHODS We estimated mortality, prevalence, years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs), with corresponding 95% uncertainty intervals (UIs), by age and sex in 204 countries and territories, from 1990 to 2021. We included morbidity and deaths due to neurological conditions, for which health loss is directly due to damage to the CNS or peripheral nervous system. We also isolated neurological health loss from conditions for which nervous system morbidity is a consequence, but not the primary feature, including a subset of congenital conditions (ie, chromosomal anomalies and congenital birth defects), neonatal conditions (ie, jaundice, preterm birth, and sepsis), infectious diseases (ie, COVID-19, cystic echinococcosis, malaria, syphilis, and Zika virus disease), and diabetic neuropathy. By conducting a sequela-level analysis of the health outcomes for these conditions, only cases where nervous system damage occurred were included, and YLDs were recalculated to isolate the non-fatal burden directly attributable to nervous system health loss. A comorbidity correction was used to calculate total prevalence of all conditions that affect the nervous system combined. FINDINGS Globally, the 37 conditions affecting the nervous system were collectively ranked as the leading group cause of DALYs in 2021 (443 million, 95% UI 378-521), affecting 3·40 billion (3·20-3·62) individuals (43·1%, 40·5-45·9 of the global population); global DALY counts attributed to these conditions increased by 18·2% (8·7-26·7) between 1990 and 2021. Age-standardised rates of deaths per 100 000 people attributed to these conditions decreased from 1990 to 2021 by 33·6% (27·6-38·8), and age-standardised rates of DALYs attributed to these conditions decreased by 27·0% (21·5-32·4). Age-standardised prevalence was almost stable, with a change of 1·5% (0·7-2·4). The ten conditions with the highest age-standardised DALYs in 2021 were stroke, neonatal encephalopathy, migraine, Alzheimer's disease and other dementias, diabetic neuropathy, meningitis, epilepsy, neurological complications due to preterm birth, autism spectrum disorder, and nervous system cancer. INTERPRETATION As the leading cause of overall disease burden in the world, with increasing global DALY counts, effective prevention, treatment, and rehabilitation strategies for disorders affecting the nervous system are needed. FUNDING Bill & Melinda Gates Foundation.
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Ledesma JR, Ma J, Zhang M, Basting AVL, Chu HT, Vongpradith A, Novotney A, LeGrand KE, Xu YY, Dai X, Nicholson SI, Stafford LK, Carter A, Ross JM, Abbastabar H, Abdoun M, Abdulah DM, Aboagye RG, Abolhassani H, Abrha WA, Abubaker Ali H, Abu-Gharbieh E, Aburuz S, Addo IY, Adepoju AV, Adhikari K, Adnani QES, Adra S, Afework A, Aghamiri S, Agyemang-Duah W, Ahinkorah BO, Ahmad D, Ahmad S, Ahmadzade AM, Ahmed H, Ahmed M, Ahmed A, Akinosoglou K, AL-Ahdal TMA, Alam N, Albashtawy M, AlBataineh MT, Al-Gheethi AAS, Ali A, Ali EA, Ali L, Ali Z, Ali SSS, Allel K, Altaf A, Al-Tawfiq JA, Alvis-Guzman N, Alvis-Zakzuk NJ, Amani R, Amusa GA, Amzat J, Andrews JR, Anil A, Anwer R, Aravkin AY, Areda D, Artamonov AA, Aruleba RT, Asemahagn MA, Atre SR, Aujayeb A, Azadi D, Azadnajafabad S, Azzam AY, Badar M, Badiye AD, Bagherieh S, Bahadorikhalili S, Baig AA, Banach M, Banik B, Bardhan M, Barqawi HJ, Basharat Z, Baskaran P, Basu S, Beiranvand M, Belete MA, Belew MA, Belgaumi UI, Beloukas A, Bettencourt PJG, Bhagavathula AS, Bhardwaj N, Bhardwaj P, Bhargava A, Bhat V, Bhatti JS, Bhatti GK, Bikbov B, Bitra VR, Bjegovic-Mikanovic V, Buonsenso D, Burkart K, Bustanji Y, Butt ZA, Camargos P, Cao Y, Carr S, Carvalho F, Cegolon L, Cenderadewi M, Cevik M, Chahine Y, Chattu VK, Ching PR, Chopra H, Chung E, Claassens MM, Coberly K, Cruz-Martins N, Dabo B, Dadana S, Dadras O, Darban I, Darega Gela J, Darwesh AM, Dashti M, Demessa BH, Demisse B, Demissie S, Derese AMA, Deribe K, Desai HD, Devanbu VGC, Dhali A, Dhama K, Dhingra S, Do THP, Dongarwar D, Dsouza HL, Dube J, Dziedzic AM, Ed-Dra A, Efendi F, Effendi DE, Eftekharimehrabad A, Ekadinata N, Ekundayo TC, Elhadi M, Elilo LT, Emeto TI, Engelbert Bain L, Fagbamigbe AF, Fahim A, Feizkhah A, Fetensa G, Fischer F, Gaipov A, Gandhi AP, Gautam RK, Gebregergis MW, Gebrehiwot M, Gebrekidan KG, Ghaffari K, Ghassemi F, Ghazy RM, Goodridge A, Goyal A, Guan SY, Gudeta MD, Guled RA, Gultom NB, Gupta VB, Gupta VK, Gupta S, Hagins H, Hailu SG, Hailu WB, Hamidi S, Hanif A, Harapan H, Hasan RS, Hassan S, Haubold J, Hezam K, Hong SH, Horita N, Hossain MB, Hosseinzadeh M, Hostiuc M, Hostiuc S, Huynh HH, Ibitoye SE, Ikuta KS, Ilic IM, Ilic MD, Islam MR, Ismail NE, Ismail F, Jafarzadeh A, Jakovljevic M, Jalili M, Janodia MD, Jomehzadeh N, Jonas JB, Joseph N, Joshua CE, Kabir Z, Kamble BD, Kanchan T, Kandel H, Kanmodi KK, Kantar RS, Karaye IM, Karimi Behnagh A, Kassa GG, Kaur RJ, Kaur N, Khajuria H, Khamesipour F, Khan YH, Khan MN, Khan Suheb MZ, Khatab K, Khatami F, Kim MS, Kosen S, Koul PA, Koulmane Laxminarayana SL, Krishan K, Kucuk Bicer B, Kuddus MA, Kulimbet M, Kumar N, Lal DK, Landires I, Latief K, Le TDT, Le TTT, Ledda C, Lee M, Lee SW, Lerango TL, Lim SS, Liu C, Liu X, Lopukhov PD, Luo H, Lv H, Mahajan PB, Mahboobipour AA, Majeed A, Malakan Rad E, Malhotra K, Malik MSA, Malinga LA, Mallhi TH, Manilal A, Martinez-Guerra BA, Martins-Melo FR, Marzo RR, Masoumi-Asl H, Mathur V, Maude RJ, Mehrotra R, Memish ZA, Mendoza W, Menezes RG, Merza MA, Mestrovic T, Mhlanga L, Misra S, Misra AK, Mithra P, Moazen B, Mohammed H, Mokdad AH, Monasta L, Moore CE, Mousavi P, Mulita F, Musaigwa F, Muthusamy R, Nagarajan AJ, Naghavi P, Naik GR, Naik G, Nair S, Nair TS, Natto ZS, Nayak BP, Negash H, Nguyen DH, Nguyen VT, Niazi RK, Nnaji CA, Nnyanzi LA, Noman EA, Nomura S, Oancea B, Obamiro KO, Odetokun IA, Odo DBO, Odukoya OO, Oh IH, Okereke CO, Okonji OC, Oren E, Ortiz-Brizuela E, Osuagwu UL, Ouyahia A, P A MP, Parija PP, Parikh RR, Park S, Parthasarathi A, Patil S, Pawar S, Peng M, Pepito VCF, Peprah P, Perdigão J, Perico N, Pham HT, Postma MJ, Prabhu ARA, Prasad M, Prashant A, Prates EJS, Rahim F, Rahman M, Rahman MA, Rahmati M, Rajaa S, Ramasamy SK, Rao IR, Rao SJ, Rapaka D, Rashid AM, Ratan ZA, Ravikumar N, Rawaf S, Reddy MMRK, Redwan EMM, Remuzzi G, Reyes LF, Rezaei N, Rezaeian M, Rezahosseini O, Rodrigues M, Roy P, Ruela GDA, Sabour S, Saddik B, Saeed U, Safi SZ, Saheb Sharif-Askari N, Saheb Sharif-Askari F, Sahebkar A, Sahiledengle B, Sahoo SS, Salam N, Salami AA, Saleem S, Saleh MA, Samadi Kafil H, Samadzadeh S, Samodra YL, Sanjeev RK, Saravanan A, Sawyer SM, Selvaraj S, Senapati S, Senthilkumaran S, Shah PA, Shahid S, Shaikh MA, Sham S, Shamshirgaran MA, Shanawaz M, Sharath M, Sherchan SP, Shetty RS, Shirzad-Aski H, Shittu A, Siddig EE, Silva JP, Singh S, Singh P, Singh H, Singh JA, Siraj MS, Siswanto S, Solanki R, Solomon Y, Soriano JB, Sreeramareddy CT, Srivastava VK, Steiropoulos P, Swain CK, Tabuchi T, Tampa M, Tamuzi JJLL, Tat NY, Tavakoli Oliaee R, Teklay G, Tesfaye EG, Tessema B, Thangaraju P, Thapar R, Thum CCC, Ticoalu JHV, Tleyjeh IM, Tobe-Gai R, Toma TM, Tram KH, Udoakang AJ, Umar TP, Umeokonkwo CD, Vahabi SM, Vaithinathan AG, van Boven JFM, Varthya SB, Wang Z, Warsame MSA, Westerman R, Wonde TE, Yaghoubi S, Yi S, Yiğit V, Yon DK, Yonemoto N, Yu C, Zakham F, Zangiabadian M, Zeukeng F, Zhang H, Zhao Y, Zheng P, Zielińska M, Salomon JA, Reiner Jr RC, Naghavi M, Vos T, Hay SI, Murray CJL, Kyu HH. Global, regional, and national age-specific progress towards the 2020 milestones of the WHO End TB Strategy: a systematic analysis for the Global Burden of Disease Study 2021. Lancet Infect Dis 2024:S1473-3099(24)00007-0. [PMID: 38518787 DOI: 10.1016/s1473-3099(24)00007-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Revised: 12/09/2023] [Accepted: 01/08/2024] [Indexed: 03/24/2024]
Abstract
BACKGROUND Global evaluations of the progress towards the WHO End TB Strategy 2020 interim milestones on mortality (35% reduction) and incidence (20% reduction) have not been age specific. We aimed to assess global, regional, and national-level burdens of and trends in tuberculosis and its risk factors across five separate age groups, from 1990 to 2021, and to report on age-specific progress between 2015 and 2020. METHODS We used the Global Burden of Diseases, Injuries, and Risk Factors Study 2021 (GBD 2021) analytical framework to compute age-specific tuberculosis mortality and incidence estimates for 204 countries and territories (1990-2021 inclusive). We quantified tuberculosis mortality among individuals without HIV co-infection using 22 603 site-years of vital registration data, 1718 site-years of verbal autopsy data, 825 site-years of sample-based vital registration data, 680 site-years of mortality surveillance data, and 9 site-years of minimally invasive tissue sample (MITS) diagnoses data as inputs into the Cause of Death Ensemble modelling platform. Age-specific HIV and tuberculosis deaths were established with a population attributable fraction approach. We analysed all available population-based data sources, including prevalence surveys, annual case notifications, tuberculin surveys, and tuberculosis mortality, in DisMod-MR 2.1 to produce internally consistent age-specific estimates of tuberculosis incidence, prevalence, and mortality. We also estimated age-specific tuberculosis mortality without HIV co-infection that is attributable to the independent and combined effects of three risk factors (smoking, alcohol use, and diabetes). As a secondary analysis, we examined the potential impact of the COVID-19 pandemic on tuberculosis mortality without HIV co-infection by comparing expected tuberculosis deaths, modelled with trends in tuberculosis deaths from 2015 to 2019 in vital registration data, with observed tuberculosis deaths in 2020 and 2021 for countries with available cause-specific mortality data. FINDINGS We estimated 9·40 million (95% uncertainty interval [UI] 8·36 to 10·5) tuberculosis incident cases and 1·35 million (1·23 to 1·52) deaths due to tuberculosis in 2021. At the global level, the all-age tuberculosis incidence rate declined by 6·26% (5·27 to 7·25) between 2015 and 2020 (the WHO End TB strategy evaluation period). 15 of 204 countries achieved a 20% decrease in all-age tuberculosis incidence between 2015 and 2020, eight of which were in western sub-Saharan Africa. When stratified by age, global tuberculosis incidence rates decreased by 16·5% (14·8 to 18·4) in children younger than 5 years, 16·2% (14·2 to 17·9) in those aged 5-14 years, 6·29% (5·05 to 7·70) in those aged 15-49 years, 5·72% (4·02 to 7·39) in those aged 50-69 years, and 8·48% (6·74 to 10·4) in those aged 70 years and older, from 2015 to 2020. Global tuberculosis deaths decreased by 11·9% (5·77 to 17·0) from 2015 to 2020. 17 countries attained a 35% reduction in deaths due to tuberculosis between 2015 and 2020, most of which were in eastern Europe (six countries) and central Europe (four countries). There was variable progress by age: a 35·3% (26·7 to 41·7) decrease in tuberculosis deaths in children younger than 5 years, a 29·5% (25·5 to 34·1) decrease in those aged 5-14 years, a 15·2% (10·0 to 20·2) decrease in those aged 15-49 years, a 7·97% (0·472 to 14·1) decrease in those aged 50-69 years, and a 3·29% (-5·56 to 9·07) decrease in those aged 70 years and older. Removing the combined effects of the three attributable risk factors would have reduced the number of all-age tuberculosis deaths from 1·39 million (1·28 to 1·54) to 1·00 million (0·703 to 1·23) in 2020, representing a 36·5% (21·5 to 54·8) reduction in tuberculosis deaths compared to those observed in 2015. 41 countries were included in our analysis of the impact of the COVID-19 pandemic on tuberculosis deaths without HIV co-infection in 2020, and 20 countries were included in the analysis for 2021. In 2020, 50 900 (95% CI 49 700 to 52 400) deaths were expected across all ages, compared to an observed 45 500 deaths, corresponding to 5340 (4070 to 6920) fewer deaths; in 2021, 39 600 (38 300 to 41 100) deaths were expected across all ages compared to an observed 39 000 deaths, corresponding to 657 (-713 to 2180) fewer deaths. INTERPRETATION Despite accelerated progress in reducing the global burden of tuberculosis in the past decade, the world did not attain the first interim milestones of the WHO End TB Strategy in 2020. The pace of decline has been unequal with respect to age, with older adults (ie, those aged >50 years) having the slowest progress. As countries refine their national tuberculosis programmes and recalibrate for achieving the 2035 targets, they could consider learning from the strategies of countries that achieved the 2020 milestones, as well as consider targeted interventions to improve outcomes in older age groups. FUNDING Bill & Melinda Gates Foundation.
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Schumacher AE, Kyu HH, Aali A, Abbafati C, Abbas J, Abbasgholizadeh R, Abbasi MA, Abbasian M, Abd ElHafeez S, Abdelmasseh M, Abd-Elsalam S, Abdelwahab A, Abdollahi M, Abdoun M, Abdullahi A, Abdurehman AM, Abebe M, Abedi A, Abedi A, Abegaz TM, Abeldaño Zuñiga RA, Abhilash ES, Abiodun OO, Aboagye RG, Abolhassani H, Abouzid M, Abreu LG, Abrha WA, Abrigo MRM, Abtahi D, Abu Rumeileh S, Abu-Rmeileh NME, Aburuz S, Abu-Zaid A, Acuna JM, Adair T, Addo IY, Adebayo OM, Adegboye OA, Adekanmbi V, Aden B, Adepoju AV, Adetunji CO, Adeyeoluwa TE, Adeyomoye OI, Adha R, Adibi A, Adikusuma W, Adnani QES, Adra S, Afework A, Afolabi AA, Afraz A, Afyouni S, Afzal S, Agasthi P, Aghamiri S, Agodi A, Agyemang-Duah W, Ahinkorah BO, Ahmad A, Ahmad D, Ahmad F, Ahmad MM, Ahmad T, Ahmadi K, Ahmadzade AM, Ahmadzade M, Ahmed A, Ahmed H, Ahmed LA, Ahmed MB, Ahmed SA, Ajami M, Aji B, Ajumobi O, Akalu GT, Akara EM, Akinosoglou K, Akkala S, Akyirem S, Al Hamad H, Al Hasan SM, Al Homsi A, Al Qadire M, Ala M, Aladelusi TO, AL-Ahdal TMA, Alalalmeh SO, Al-Aly Z, Alam K, Alam M, Alam Z, Al-amer RM, Alanezi FM, Alanzi TM, Albashtawy M, AlBataineh MT, Aldridge RW, Alemi S, Al-Eyadhy A, Al-Gheethi AAS, Alhabib KF, Alhalaiqa FAN, Al-Hanawi MK, Ali A, Ali A, Ali BA, Ali H, Ali MU, Ali R, Ali SSS, Ali Z, Alian Samakkhah S, Alicandro G, Alif SM, Aligol M, Alimi R, Aliyi AA, Al-Jumaily A, Aljunid SM, Almahmeed W, Al-Marwani S, Al-Maweri SAA, Almazan JU, Al-Mekhlafi HM, Almidani O, Alomari MA, Alonso N, Alqahtani JS, Alqutaibi AY, Al-Sabah SK, Altaf A, Al-Tawfiq JA, Altirkawi KA, Alvi FJ, Alwafi H, Al-Worafi YM, Aly H, Alzoubi KH, Amare AT, Ameyaw EK, Amhare AF, Amin TT, Amindarolzarbi A, Aminian Dehkordi J, Amiri S, Amu H, Amugsi DA, Amzat J, Ancuceanu R, Anderlini D, Andrade PP, Andrei CL, Andrei T, Angappan D, Anil A, Anjum A, Antony CM, Antriyandarti E, Anuoluwa IA, Anwar SL, Anyasodor AE, Appiah SCY, Aqeel M, Arabloo J, Arabzadeh Bahri R, Arab-Zozani M, Arafat M, Araújo AM, Aravkin AY, Aremu A, Ariffin H, Aripov T, Armocida B, Arooj M, Artamonov AA, Artanti KD, Arulappan J, Aruleba IT, Aruleba RT, Arumugam A, Asaad M, Asgary S, Ashemo MY, Ashraf M, Asika MO, Athari SS, Atout MMW, Atreya A, Attia S, Aujayeb A, Avan A, Awotidebe AW, Ayala Quintanilla BP, Ayanore MA, Ayele GM, Ayuso-Mateos JL, Ayyoubzadeh SM, Azadnajafabad S, Azhar GS, Aziz S, Azzam AY, Babashahi M, Babu AS, Badar M, Badawi A, Badiye AD, Baghdadi S, Bagheri N, Bagherieh S, Bah S, Bahadorikhalili S, Bai J, Bai R, Baker JL, Bakkannavar SM, Bako AT, Balakrishnan S, Balogun SA, Baltatu OC, Bam K, Banach M, Bandyopadhyay S, Banik B, Banik PC, Bansal H, Barati S, Barchitta M, Bardhan M, Barker-Collo SL, Barone-Adesi F, Barqawi HJ, Barr RD, Barrero LH, Basharat Z, Bashir AIJ, Bashiru HA, Baskaran P, Basnyat B, Bassat Q, Basso JD, Basu S, Batra K, Batra R, Baune BT, Bayati M, Bayileyegn NS, Beaney T, Bedi N, Begum T, Behboudi E, Behnoush AH, Beiranvand M, Bejarano Ramirez DF, Belgaumi UI, Bell ML, Bello AK, Bello MB, Bello OO, 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Sharfaei S, Sharifan A, Shariff M, Sharifi-Rad J, Sharma M, Sharma R, Sharma S, Sharma V, Shastry RP, Shavandi A, Shaw DH, Shayan AM, Shehabeldine AME, Sheikh A, Sheikhi RA, Shen J, Shenoy MM, Shetty BSK, Shetty RS, Shey RA, Shiani A, Shibuya K, Shiferaw D, Shigematsu M, Shin JI, Shin MJ, Shiri R, Shirkoohi R, Shittu A, Shiue I, Shivakumar KM, Shivarov V, Shool S, Shrestha S, Shuja KH, Shuval K, Si Y, Sibhat MM, Siddig EE, Sigfusdottir ID, Silva JP, Silva LMLR, Silva S, Simões JP, Simpson CR, Singal A, Singh A, Singh A, Singh A, Singh BB, Singh B, Singh M, Singh M, Singh NP, Singh P, Singh S, Siraj MS, Sitas F, Sivakumar S, Skryabin VY, Skryabina AA, Sleet DA, Slepak ELN, Sohrabi H, Soleimani H, Soliman SSM, Solmi M, Solomon Y, Song Y, Sorensen RJD, Soriano JB, Soyiri IN, Spartalis M, Sreeramareddy CT, Starnes JR, Starodubov VI, Starodubova AV, Stefan SC, Stein DJ, Steinbeis F, Steiropoulos P, Stockfelt L, Stokes MA, Stortecky S, Stranges S, Stroumpoulis K, Suleman M, Suliankatchi Abdulkader R, Sultana A, Sun J, Sunkersing D, Susanty S, Swain CK, Sykes BL, Szarpak L, Szeto MD, Szócska M, Tabaee Damavandi P, Tabatabaei Malazy O, Tabatabaeizadeh SA, Tabatabai S, Tabb KM, Tabish M, Taborda-Barata LM, Tabuchi T, Tadesse BT, Taheri A, Taheri Abkenar Y, Taheri Soodejani M, Taherkhani A, Taiba J, Tajbakhsh A, Talaat IM, Talukder A, Tamuzi JL, Tan KK, Tang H, Tang HK, Tat NY, Tat VY, Tavakoli Oliaee R, Tavangar SM, Taveira N, Tebeje TM, Tefera YM, Teimoori M, Temsah MH, Temsah RMH, Teramoto M, Tesfaye SH, Thangaraju P, Thankappan KR, Thapa R, Thapar R, Thomas N, Thrift AG, Thum CCC, Tian J, Tichopad A, Ticoalu JHV, Tiruye TY, Tohidast SA, Tonelli M, Touvier M, Tovani-Palone MR, Tram KH, Tran NM, Trico D, Trihandini I, Tromans SJ, Truong VT, Truyen TTTT, Tsermpini EE, Tumurkhuu M, Tung K, Tyrovolas S, Ubah CS, Udoakang AJ, Udoh A, Ulhaq I, Ullah S, Ullah S, Umair M, Umar TP, Umeokonkwo CD, Umesh A, Unim B, Unnikrishnan B, Upadhyay E, Urso D, Vacante M, Vahdani AM, Vaithinathan AG, Valadan Tahbaz S, Valizadeh R, Van den Eynde J, Varavikova E, Varga O, Varma SA, Vart P, Varthya SB, Vasankari TJ, Veerman LJ, Venketasubramanian N, Venugopal D, Verghese NA, Verma M, Verma P, Veroux M, Verras GI, Vervoort D, Vieira RJ, Villafañe JH, Villani L, Villanueva GI, Villeneuve PJ, Violante FS, Visontay R, Vlassov V, Vo B, Vollset SE, Volovat SR, Volovici V, Vongpradith A, Vos T, Vujcic IS, Vukovic R, Wado YD, Wafa HA, Waheed Y, Wamai RG, Wang C, Wang D, Wang F, Wang S, Wang S, Wang Y, Wang YP, Ward P, Watson S, Weaver MR, Weerakoon KG, Weiss DJ, Weldemariam AH, Wells KM, Wen YF, Werdecker A, Westerman R, Wickramasinghe DP, Wickramasinghe ND, Wijeratne T, Wilson S, Wojewodzic MW, Wool EE, Woolf AD, Wu D, Wulandari RD, Xiao H, Xu B, Xu X, Yadav L, Yaghoubi S, Yang L, Yano Y, Yao Y, Ye P, Yesera GE, Yesodharan R, Yesuf SA, Yiğit A, Yiğit V, Yip P, Yon DK, Yonemoto N, You Y, Younis MZ, Yu C, Zadey S, Zadnik V, Zafari N, Zahedi M, Zahid MN, Zahir M, Zakham F, Zaki N, Zakzuk J, Zamagni G, Zaman BA, Zaman SB, Zamora N, Zand R, Zandi M, Zandieh GGZ, Zanghì A, Zare I, Zastrozhin MS, Zeariya MGM, Zeng Y, Zhai C, Zhang C, Zhang H, Zhang H, Zhang Y, Zhang Z, Zhang Z, Zhao H, Zhao Y, Zhao Y, Zheng P, Zhong C, Zhou J, Zhu B, Zhu Z, Ziaeefar P, Zielińska M, Zou Z, Zumla A, Zweck E, Zyoud SH, Lim SS, Murray CJL. Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950-2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021. Lancet 2024:S0140-6736(24)00476-8. [PMID: 38484753 DOI: 10.1016/s0140-6736(24)00476-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 12/08/2023] [Accepted: 03/06/2024] [Indexed: 04/13/2024]
Abstract
BACKGROUND Estimates of demographic metrics are crucial to assess levels and trends of population health outcomes. The profound impact of the COVID-19 pandemic on populations worldwide has underscored the need for timely estimates to understand this unprecedented event within the context of long-term population health trends. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 provides new demographic estimates for 204 countries and territories and 811 additional subnational locations from 1950 to 2021, with a particular emphasis on changes in mortality and life expectancy that occurred during the 2020-21 COVID-19 pandemic period. METHODS 22 223 data sources from vital registration, sample registration, surveys, censuses, and other sources were used to estimate mortality, with a subset of these sources used exclusively to estimate excess mortality due to the COVID-19 pandemic. 2026 data sources were used for population estimation. Additional sources were used to estimate migration; the effects of the HIV epidemic; and demographic discontinuities due to conflicts, famines, natural disasters, and pandemics, which are used as inputs for estimating mortality and population. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate under-5 mortality rates, which synthesised 30 763 location-years of vital registration and sample registration data, 1365 surveys and censuses, and 80 other sources. ST-GPR was also used to estimate adult mortality (between ages 15 and 59 years) based on information from 31 642 location-years of vital registration and sample registration data, 355 surveys and censuses, and 24 other sources. Estimates of child and adult mortality rates were then used to generate life tables with a relational model life table system. For countries with large HIV epidemics, life tables were adjusted using independent estimates of HIV-specific mortality generated via an epidemiological analysis of HIV prevalence surveys, antenatal clinic serosurveillance, and other data sources. Excess mortality due to the COVID-19 pandemic in 2020 and 2021 was determined by subtracting observed all-cause mortality (adjusted for late registration and mortality anomalies) from the mortality expected in the absence of the pandemic. Expected mortality was calculated based on historical trends using an ensemble of models. In location-years where all-cause mortality data were unavailable, we estimated excess mortality rates using a regression model with covariates pertaining to the pandemic. Population size was computed using a Bayesian hierarchical cohort component model. Life expectancy was calculated using age-specific mortality rates and standard demographic methods. Uncertainty intervals (UIs) were calculated for every metric using the 25th and 975th ordered values from a 1000-draw posterior distribution. FINDINGS Global all-cause mortality followed two distinct patterns over the study period: age-standardised mortality rates declined between 1950 and 2019 (a 62·8% [95% UI 60·5-65·1] decline), and increased during the COVID-19 pandemic period (2020-21; 5·1% [0·9-9·6] increase). In contrast with the overall reverse in mortality trends during the pandemic period, child mortality continued to decline, with 4·66 million (3·98-5·50) global deaths in children younger than 5 years in 2021 compared with 5·21 million (4·50-6·01) in 2019. An estimated 131 million (126-137) people died globally from all causes in 2020 and 2021 combined, of which 15·9 million (14·7-17·2) were due to the COVID-19 pandemic (measured by excess mortality, which includes deaths directly due to SARS-CoV-2 infection and those indirectly due to other social, economic, or behavioural changes associated with the pandemic). Excess mortality rates exceeded 150 deaths per 100 000 population during at least one year of the pandemic in 80 countries and territories, whereas 20 nations had a negative excess mortality rate in 2020 or 2021, indicating that all-cause mortality in these countries was lower during the pandemic than expected based on historical trends. Between 1950 and 2021, global life expectancy at birth increased by 22·7 years (20·8-24·8), from 49·0 years (46·7-51·3) to 71·7 years (70·9-72·5). Global life expectancy at birth declined by 1·6 years (1·0-2·2) between 2019 and 2021, reversing historical trends. An increase in life expectancy was only observed in 32 (15·7%) of 204 countries and territories between 2019 and 2021. The global population reached 7·89 billion (7·67-8·13) people in 2021, by which time 56 of 204 countries and territories had peaked and subsequently populations have declined. The largest proportion of population growth between 2020 and 2021 was in sub-Saharan Africa (39·5% [28·4-52·7]) and south Asia (26·3% [9·0-44·7]). From 2000 to 2021, the ratio of the population aged 65 years and older to the population aged younger than 15 years increased in 188 (92·2%) of 204 nations. INTERPRETATION Global adult mortality rates markedly increased during the COVID-19 pandemic in 2020 and 2021, reversing past decreasing trends, while child mortality rates continued to decline, albeit more slowly than in earlier years. Although COVID-19 had a substantial impact on many demographic indicators during the first 2 years of the pandemic, overall global health progress over the 72 years evaluated has been profound, with considerable improvements in mortality and life expectancy. Additionally, we observed a deceleration of global population growth since 2017, despite steady or increasing growth in lower-income countries, combined with a continued global shift of population age structures towards older ages. These demographic changes will likely present future challenges to health systems, economies, and societies. The comprehensive demographic estimates reported here will enable researchers, policy makers, health practitioners, and other key stakeholders to better understand and address the profound changes that have occurred in the global health landscape following the first 2 years of the COVID-19 pandemic, and longer-term trends beyond the pandemic. FUNDING Bill & Melinda Gates Foundation.
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Wisdom AJ, Yeap BY, Michalski JM, Zietman AL, Baumann BC, Christodouleas JP, Kamran SC, Parikh RR, Vapiwala N, Ellis RJ, Hartsell WF, Miyamoto DT, Zeng J, Pisansky TM, Mishra MV, Spratt DE, Mendenhall NP, Soffen EM, Bekelman JE, Efstathiou JA. Prostate Advanced Radiation Technologies Investigating Quality of Life (PARTIQoL): A Phase III Randomized Clinical Trial of Proton Therapy vs. IMRT for Low or Intermediate Risk Prostate Cancer. Int J Radiat Oncol Biol Phys 2023; 117:e450. [PMID: 37785451 DOI: 10.1016/j.ijrobp.2023.06.1635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Prostate cancer is the most common non-cutaneous cancer diagnosed among men in the United States, and the majority of patients are diagnosed with localized disease. Men with localized prostate cancer have several treatment options including external beam radiotherapy with either photons or protons. Proton beam therapy (PBT) has certain dosimetric advantages and the potential to reduce treatment-associated morbidity and improve oncologic outcomes, but current PBT is significantly more costly than intensity-modulated radiotherapy (IMRT). The PARTIQoL trial (NCT01617161) is the first multicenter phase 3 randomized trial comparing protons to photons in the treatment of localized prostate cancer. MATERIALS/METHODS Patients with low or intermediate risk prostate cancer (Stage T1c-T2c, PSA < 20, Gleason score ≤ 7) are randomized to receive either PBT or IMRT, with targeted recruitment efforts for minority populations. A companion registry study has concurrently enrolled patients who declined randomization or whose insurance denied coverage for PBT. Patients are stratified by clinical site, age, use of rectal spacer, and fractionation schedule (conventional fractionation: 79.2 Gy in 44 fractions vs moderate hypofractionation: 70.0 Gy in 28 fractions). Participants are followed longitudinally to assess patient-reported outcomes (PROs) of bowel, urinary, and erectile function for 60 months after completion of radiotherapy (with an option for additional follow up through 10 years). Participants may also participate in correlative studies, including serial CT imaging during treatment and analyses of biopsy tissue, blood and urine specimens. The primary objective is to compare PROs of bowel function using the EPIC score at 24 months following completion of radiation. Secondary objectives are to assess treatment-related differences in urinary and erectile functions, adverse events, efficacy endpoints (biochemical control, metastasis-free survival, disease-specific survival, and overall survival), health state utilities, perceptions of care, late effects, cost-effectiveness, association between radiotherapy dose distribution and PROs, and to identify biomarkers of radiation response and toxicity. RESULTS The randomized trial has completed accrual, with 450 patients enrolled at 27 sites between June 2012 and November 2021. 20.3% of patients enrolled are non-white. Accrual on the companion registry is active, with 354 patients enrolled as of February 2023. CONCLUSION Follow-up for the primary endpoint on the randomized trial will be reached in 2024. The PARTIQoL randomized clinical trial will rigorously assess the clinical benefits of PBT relative to IMRT and results will inform decision making by patients, providers, policymakers, and payers.
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Affiliation(s)
- A J Wisdom
- Department of Radiation Oncology, Massachusetts General Hospital, Boston, MA
| | - B Y Yeap
- Department of Medicine, Division of Hematology & Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - J M Michalski
- Department of Radiation Oncology, Washington University School of Medicine, St. Louis, MO
| | - A L Zietman
- Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - B C Baumann
- Washington University School of Medicine in St. Louis, Department of Radiation Oncology, St. Louis, MO
| | - J P Christodouleas
- Department of Radiation Oncology, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, PA
| | - S C Kamran
- Massachusetts General Hospital, Boston, MA
| | - R R Parikh
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ
| | - N Vapiwala
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | | | - W F Hartsell
- Department of Radiation Oncology, Northwestern Medicine Proton Center, Warrenville, IL
| | - D T Miyamoto
- Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - J Zeng
- Department of Radiation Oncology, University of Washington - Fred Hutchinson Cancer Center, Seattle, WA
| | - T M Pisansky
- Department of Radiation Oncology, Mayo Clinic, Rochester, MN
| | - M V Mishra
- University of Maryland School of Medicine, Baltimore, MD
| | - D E Spratt
- Department of Radiation Oncology, University Hospitals Seidman Cancer Center and Case Western Reserve University, Cleveland, OH
| | - N P Mendenhall
- Department of Radiation Oncology, University of Florida College of Medicine, Gainesville, FL
| | - E M Soffen
- Princeton Radiation Oncology, Jamesburg, NJ
| | - J E Bekelman
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - J A Efstathiou
- Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
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Hoppe BS, Castellino S, Pei Q, Charpentier AM, Keller F, Vega RM, Roberts KB, Parikh RR, Punnett A, Parsons S, McCarten KM, Flampouri S, Kessel S, Wu Y, Cho SY, Kelly KM, Hodgson D. Radiotherapy Utilization and Outcomes on a Contemporary Trial for Pediatric High-Risk Hodgkin Lymphoma Study. Int J Radiat Oncol Biol Phys 2023; 117:S62-S63. [PMID: 37784541 DOI: 10.1016/j.ijrobp.2023.06.362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Contemporary trials in pediatric Hodgkin lymphoma (cHL) evaluate strategies to reduce radiotherapy (RT) utilization while maintaining excellent progression-free survival (PFS). An alternative strategy is to irradiate selective sites at higher risk of relapse, and/or use proton therapy (PT) to minimize exposure to healthy tissue. We investigated the use of PT and photon therapy (XRT) and associated early outcomes among patients receiving involved site RT (ISRT) to high-risk sites on the Children's Oncology Group (COG) trial AHOD1331 (NCT021664643). MATERIALS/METHODS This multicenter randomized, open-label phase 3 study enrolled patients 2-21 years (yrs) with previously untreated cHL: stages IIB + bulk, IIIB, IVA, IVB. Patients were randomized to 5 cycles of either ABVE-PC (doxorubicin, bleomycin, vincristine, etoposide, prednisone, cyclophosphamide) or the brentuximab vedotin (BV) containing regimen BV-AVE-PC given every 21 days. ISRT to 21 Gy was given to bulky mediastinal adenopathy and slow responding lesions (SRL) defined by 5-point score 4 or 5 on PET-CT after 2 cycles. ISRT could be delivered as 3D conformal XRT (3D), intensity modulated XRT (IMRT), or proton therapy (PT). Utilization of RT was compared by mode and by study enrollment midpoint among irradiated patients. Severe acute toxicity assessment included any incident grade 3 or higher toxicity during the ISRT period, except for neuropathy. RESULTS Among 587 eligible patients who were enrolled across 153 institutions between March 2015 and August 2019 with a median follow up of 43.1 months, the 3-yr PFS was 82.5% (90% CI, 78.3%-85.9%) with ABVE-PC and 92.5% (90% CI 89.5%-94.6%) with BV-AVE-PC (p = 0.0002). There was no difference in ISRT receipt or modality by study arm (p = 0.33). Among those who received RT 69.7% received it due to bulky mediastinal adenopathy, 6.6% due to SRL, and 23.7% for both. Overall, 317 (54.0%) patients received protocol RT of which 28.7% received 3D, 44.8% received IMRT, and 26.5% received PT. PT utilization increased over the course of the study from 21.5% among the first 50% of irradiated patients to 31.5% in the second half of irradiated patients (p = 0.045). The 3-yr progression-free survival rates overall by RT were comparable: PT (88.0%, 90% CI 80.6% - 92.7%%); XRT (87.1%, 90% CI 82.9%-90.4%) (p = 0.85). No difference in PFS was observed between 3D versus IMRT (p = 0.65). No differences were observed in severe acute toxicities (8.33% vs. 8.15%, p = 0.96) between PT and XRT. CONCLUSION Selective use of RT results in excellent outcomes for pediatric patients with high-risk HL and combination chemotherapy inclusive of the novel agent BV. Over the course of the study, PT utilization increased as an RT modality. Early results suggest that PT does not compromise disease control and has similar acute toxicity as XRT. Long term follow-up (>10 years) is needed to evaluate for secondary malignancies and cardiac toxicity among the different RT modalities.
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Affiliation(s)
- B S Hoppe
- Department of Radiation Oncology, Mayo Clinic, Jacksonville, FL
| | | | - Q Pei
- University of Florida, Gainesville, FL
| | - A M Charpentier
- Centre hospitalier de l'Universite de Montreal, Montreal, QC, Canada
| | - F Keller
- Children Hospital of Atlanta, Atlanta, GA
| | | | | | - R R Parikh
- Rutgers Cancer Institute of New Jersey, Department of Radiation Oncology, New Brunswick, NJ
| | - A Punnett
- University of Toronto, Toronto, ON, Canada
| | | | | | - S Flampouri
- Department of Radiation Oncology, Winship Cancer Institute of Emory University, Atlanta, GA
| | - S Kessel
- Imaging and Radiation Oncology Core, Lincoln, RI
| | - Y Wu
- University of Florida, Gainesville, FL
| | - S Y Cho
- Department of Radiology, University of Wisconsin Hospitals and Clinics, Madison, WI
| | - K M Kelly
- Roswell Park Cancer Institute, Buffalo, NY
| | - D Hodgson
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
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Wunrow HY, Bender RG, Vongpradith A, Sirota SB, Swetschinski LR, Novotney A, Gray AP, Ikuta KS, Sharara F, Wool EE, Aali A, Abd-Elsalam S, Abdollahi A, Abdul Aziz JM, Abidi H, Aboagye RG, Abolhassani H, Abu-Gharbieh E, Adamu LH, Adane TD, Addo IY, Adegboye OA, Adekiya TA, Adnan M, Adnani QES, Afzal S, Aghamiri S, Aghdam ZB, Agodi A, Ahinkorah BO, Ahmad A, Ahmad S, Ahmadzade M, Ahmed A, Ahmed A, Ahmed JQ, Ahmed MS, Akinosoglou K, Aklilu A, Akonde M, Alahdab F, AL-Ahdal TMA, Alanezi FM, Albelbeisi AH, Alemayehu TBB, Alene KA, Al-Eyadhy A, Al-Gheethi AAS, Ali A, Ali BA, Ali L, Ali SS, Alimohamadi Y, Alipour V, Aljunid SM, Almustanyir S, Al-Raddadi RM, Alvis-Guzman N, Al-Worafi YM, Aly H, Ameyaw EK, Ancuceanu R, Ansar A, Ansari G, Anyasodor AE, Arabloo J, Aravkin AY, Areda D, Artamonov AA, Arulappan J, Aruleba RT, Asaduzzaman M, Atalell KA, Athari SS, Atlaw D, Atout MMW, Attia S, Awoke T, Ayalew MK, Ayana TM, Ayele AD, Azadnajafabad S, Azizian K, Badar M, Badiye AD, Baghcheghi N, Bagheri M, Bagherieh S, Bahadory S, Baig AA, Barac A, Barati S, Bardhan M, Basharat Z, Bashiri A, Basnyat B, Bassat Q, Basu S, Bayileyegn NS, Bedi N, Behnoush AH, Bekel AA, Belete MA, Bello OO, Bhagavathula AS, Bhandari D, Bhardwaj P, Bhaskar S, Bhat AN, Bijani A, Bineshfar N, Boloor A, Bouaoud S, Buonsenso D, Burkart K, Cámera LA, Castañeda-Orjuela CA, Cernigliaro A, Charan J, Chattu VK, Ching PR, Chopra H, Choudhari SG, Christopher DJ, Chu DT, Couto RAS, Cruz-Martins N, Dadras O, Dai X, Dandona L, Dandona R, Das S, Dash NR, Dashti M, De la Hoz FP, Debela SA, Dejen D, Dejene H, Demeke D, Demeke FM, Demessa BH, Demetriades AK, Demissie S, Dereje D, Dervišević E, Desai HD, Dessie AM, Desta F, Dhama K, Djalalinia S, Do TC, Dodangeh M, Dodangeh M, Dominguez RMV, Dongarwar D, Dsouza HL, Durojaiye OC, Dziedzic AM, Ekat MH, Ekholuenetale M, Ekundayo TC, El Sayed Zaki M, El-Abid H, Elhadi M, El-Hajj VG, El-Huneidi W, El-Sakka AA, Esayas HL, Fagbamigbe AF, Falahi S, Fares J, Fatehizadeh A, Fatima SAF, Feasey NA, Fekadu G, Fetensa G, Feyissa D, Fischer F, Foroutan B, Gaal PA, Gadanya MA, Gaipov A, Ganesan B, Gebrehiwot M, Gebrekidan KG, Gebremeskel TG, Gedef GM, Gela YY, Gerema U, Gessner BD, Getachew ME, Ghadiri K, Ghaffari K, Ghamari SH, Ghanbari R, Ghazy RMM, Ghozali G, Gizaw ABAB, Glushkova EV, Goldust M, Golechha M, Guadie HA, Guled RA, Gupta M, Gupta S, Gupta VB, Gupta VK, Gupta VK, Hadi NR, Haj-Mirzaian A, Haller S, Hamidi S, Haque S, Harapan H, Hasaballah AI, Hasan I, Hasani H, Hasanian M, Hassankhani H, Hassen MB, Hayat K, Heidari M, Heidari-Foroozan M, Heidari-Soureshjani R, Hezam K, Holla R, Horita N, Hossain MM, Hosseini MS, Hosseinzadeh M, Hostiuc S, Hussain S, Hussein NR, Ibitoye SE, Ilesanmi OS, Ilic IM, Ilic MD, Imam MT, Iregbu KC, Ismail NE, Iwu CCD, Jaja C, Jakovljevic M, Jamshidi E, Javadi Mamaghani A, Javidnia J, Jokar M, Jomehzadeh N, Joseph N, Joshua CE, Jozwiak JJ, Kabir Z, Kalankesh LR, Kalhor R, Kamal VK, Kandel H, Karaye IM, Karch A, Karimi H, Kaur H, Kaur N, Keykhaei M, Khajuria H, Khalaji A, Khan A, Khan IA, Khan M, Khan T, Khatab K, Khatatbeh MM, Khayat Kashani HR, Khubchandani J, Kim MS, Kisa A, Kisa S, Kompani F, Koohestani HR, Kothari N, Krishan K, Krishnamoorthy Y, Kulimbet M, Kumar M, Kumaran SD, Kuttikkattu A, Kwarteng A, Laksono T, Landires I, Laryea DO, Lawal BK, Le TTT, Ledda C, Lee SW, Lee S, Lema GK, Levi M, Lim SS, Liu X, Lopes G, Lutzky Saute R, Machado Teixeira PH, Mahmoodpoor A, Mahmoud MA, Malakan Rad E, Malhotra K, Malik AA, Martinez-Guerra BA, Martorell M, Mathur V, Mayeli M, Medina JRC, Melese A, Memish ZA, Mentis AFA, Merza MA, Mestrovic T, Michalek IM, Minh LHN, Mirahmadi A, Mirmosayyeb O, Misganaw A, Misra AK, Moghadasi J, Mohamed NS, Mohammad Y, Mohammadi E, Mohammed S, Mojarrad Sani M, Mojiri-forushani H, Mokdad AH, Momtazmanesh S, Monasta L, Moni MA, Mossialos E, Mostafavi E, Motaghinejad M, Mousavi Khaneghah A, Mubarik S, Muccioli L, Muhammad JS, Mulita F, Mulugeta T, Murillo-Zamora E, Mustafa G, Muthupandian S, Nagarajan AJ, Nainu F, Nair TS, Nargus S, Nassereldine H, Natto ZS, Nayak BP, Negoi I, Negoi RI, Nejadghaderi SA, Nguyen HQ, Nguyen PT, Nguyen VT, Niazi RK, Noroozi N, Nouraei H, Nuñez-Samudio V, Nuruzzaman KM, Nwatah VE, Nzoputam CI, Nzoputam OJ, Oancea B, Obaidur RM, Odetokun IA, Ogunsakin RE, Okonji OC, Olagunju AT, Olana LT, Olufadewa II, Oluwafemi YD, Oumer KS, Ouyahia A, P A M, Pakshir K, Palange PN, Pardhan S, Parikh RR, Patel J, Patel UK, Patil S, Paudel U, Pawar S, Pensato U, Perdigão J, Pereira M, Peres MFP, Petcu IR, Pinheiro M, Piracha ZZ, Pokhrel N, Postma MJ, Prates EJS, Qattea I, Raghav PR, Rahbarnia L, Rahimi-Movaghar V, Rahman M, Rahman MA, Rahmanian V, Rahnavard N, Ramadan H, Ramasubramani P, Rani U, Rao IR, Rapaka D, Ratan ZA, Rawaf S, Redwan EMM, Reiner Jr RC, Rezaei N, Riad A, Ribeiro da Silva TM, Roberts T, Robles Aguilar G, Rodriguez JAB, Rosenthal VD, Saddik B, Sadeghian S, Saeed U, Safary A, Saheb Sharif-Askari F, Saheb Sharif-Askari N, Sahebkar A, Sahu M, Sajedi SA, Saki M, Salahi S, Salahi S, Saleh MA, Sallam M, Samadzadeh S, Samy AM, Sanjeev RK, Satpathy M, Seylani A, Sha'aban A, Shafie M, Shah PA, Shahrokhi S, Shahzamani K, Shaikh MA, Sham S, Shannawaz M, Sheikh A, Shenoy SM, Shetty PH, Shin JI, Shokri F, Shorofi SA, Shrestha S, Sibhat MM, Siddig EE, Silva LMLR, Singh H, Singh JA, Singh P, Singh S, Sinto R, Skryabina AA, Socea B, Sokhan A, Solanki R, Solomon Y, Sood P, Soshnikov S, Stergachis A, Sufiyan MB, Suliankatchi Abdulkader R, Sultana A, T Y SS, Taheri E, Taki E, Tamuzi JJLL, Tan KK, Tat NY, Temsah MH, Terefa DR, Thangaraju P, Tibebu NS, Ticoalu JHV, Tillawi T, Tincho MB, Tleyjeh II, Toghroli R, Tovani-Palone MR, Tufa DG, Turner P, Ullah I, Umeokonkwo CD, Unnikrishnan B, Vahabi SM, Vaithinathan AG, Valizadeh R, Varthya SB, Vos T, Waheed Y, Walde MT, Wang C, Weerakoon KG, Wickramasinghe ND, Winkler AS, Woldemariam M, Worku NA, Wright C, Yada DY, Yaghoubi S, Yahya GATY, Yenew CYY, Yesiltepe M, Yi S, Yiğit V, You Y, Yusuf H, Zakham F, Zaman M, Zaman SB, Zare I, Zareshahrabadi Z, Zarrintan A, Zastrozhin MS, Zhang H, Zhang J, Zhang ZJ, Zheng P, Zoladl M, Zumla A, Hay SI, Murray CJL, Naghavi M, Kyu HH. Global, regional, and national burden of meningitis and its aetiologies, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Neurol 2023; 22:685-711. [PMID: 37479374 PMCID: PMC10356620 DOI: 10.1016/s1474-4422(23)00195-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 04/28/2023] [Accepted: 05/05/2023] [Indexed: 07/23/2023]
Abstract
BACKGROUND Although meningitis is largely preventable, it still causes hundreds of thousands of deaths globally each year. WHO set ambitious goals to reduce meningitis cases by 2030, and assessing trends in the global meningitis burden can help track progress and identify gaps in achieving these goals. Using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we aimed to assess incident cases and deaths due to acute infectious meningitis by aetiology and age from 1990 to 2019, for 204 countries and territories. METHODS We modelled meningitis mortality using vital registration, verbal autopsy, sample-based vital registration, and mortality surveillance data. Meningitis morbidity was modelled with a Bayesian compartmental model, using data from the published literature identified by a systematic review, as well as surveillance data, inpatient hospital admissions, health insurance claims, and cause-specific meningitis mortality estimates. For aetiology estimation, data from multiple causes of death, vital registration, hospital discharge, microbial laboratory, and literature studies were analysed by use of a network analysis model to estimate the proportion of meningitis deaths and cases attributable to the following aetiologies: Neisseria meningitidis, Streptococcus pneumoniae, Haemophilus influenzae, group B Streptococcus, Escherichia coli, Klebsiella pneumoniae, Listeria monocytogenes, Staphylococcus aureus, viruses, and a residual other pathogen category. FINDINGS In 2019, there were an estimated 236 000 deaths (95% uncertainty interval [UI] 204 000-277 000) and 2·51 million (2·11-2·99) incident cases due to meningitis globally. The burden was greatest in children younger than 5 years, with 112 000 deaths (87 400-145 000) and 1·28 million incident cases (0·947-1·71) in 2019. Age-standardised mortality rates decreased from 7·5 (6·6-8·4) per 100 000 population in 1990 to 3·3 (2·8-3·9) per 100 000 population in 2019. The highest proportion of total all-age meningitis deaths in 2019 was attributable to S pneumoniae (18·1% [17·1-19·2]), followed by N meningitidis (13·6% [12·7-14·4]) and K pneumoniae (12·2% [10·2-14·3]). Between 1990 and 2019, H influenzae showed the largest reduction in the number of deaths among children younger than 5 years (76·5% [69·5-81·8]), followed by N meningitidis (72·3% [64·4-78·5]) and viruses (58·2% [47·1-67·3]). INTERPRETATION Substantial progress has been made in reducing meningitis mortality over the past three decades. However, more meningitis-related deaths might be prevented by quickly scaling up immunisation and expanding access to health services. Further reduction in the global meningitis burden should be possible through low-cost multivalent vaccines, increased access to accurate and rapid diagnostic assays, enhanced surveillance, and early treatment. FUNDING Bill & Melinda Gates Foundation.
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Pylypiv Shippee T, Parikh RR, Duan Y, Bowblis JR, Woodhouse M, Lewis T. Measuring Nursing Home Quality of Life: Validated Measures Are Poorly Correlated With Proxies From MDS and Quality of Life Deficiency Citationsl. J Am Med Dir Assoc 2023; 24:718-722.e4. [PMID: 37030322 PMCID: PMC10194341 DOI: 10.1016/j.jamda.2023.03.014] [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] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 03/01/2023] [Accepted: 03/12/2023] [Indexed: 04/10/2023]
Abstract
OBJECTIVES Ensuring quality of life (QoL) is an important goal of person-centered nursing home care. The provision of person-centered care relies on information captured in the Minimum Data Set 3.0 (MDS). It is unclear to what extent MDS items or QoL-related facility deficiency citations correlate with validated measures of nursing home residents' QoL. This study evaluated correlation among MDS items, facility deficiency citations, and residents' QoL from 2 states that currently collect these measures. DESIGN Cross-sectional study. SETTING AND PARTICIPANTS A total of 11,487 long-stay residents in 356 facilities in Minnesota and 13,835 long-stay residents in 851 facilities in Ohio in 2015. METHODS The outcome, QoL, was measured using validated instruments (Minnesota QoL survey and Ohio Resident Satisfaction Survey). Predictor variables included scores for Preference Assessment Tool (Section F), Patient Health Questionnaire-9 (Section D) for depressive symptoms from MDS, and count of QoL-related facility deficiency citations from the Certification and Survey Provider Enhanced Reporting database. Spearman's ranked test assessed correlation between predictor and outcome variables. Mixed effects models evaluated associations of QoL summary scores with predictor variables, adjusting for resident- and facility-level characteristics, accounting for clustering at the facility level. RESULTS In Minnesota and Ohio, predictor variables (Section F and D items, and facility deficiency citations) correlated significantly but poorly with QoL (coefficients ranging from 0.003 to 0.3, P < .001). In the fully adjusted mixed effects model, all predictor variables, demographics, and functional status explained <21% of the total variance in QoL among residents. These findings were consistent in sensitivity analyses stratified by 1-year length of stay and by diagnosis of dementia. CONCLUSIONS AND IMPLICATIONS MDS items and facility deficiency citations encapsulate a significant but very small proportion of variance in residents' QoL. This indicates the need to measure QoL directly among residents, to plan person-centered care, and to evaluate its performance in nursing home facilities.
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Affiliation(s)
- Tetyana Pylypiv Shippee
- Division of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis, MN, USA.
| | - Romil R Parikh
- Division of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis, MN, USA; Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, MN, USA
| | - Yinfei Duan
- Faculty of Nursing, University of Alberta, Edmonton, AB, Canada
| | - John R Bowblis
- Farmer School of Business and Scripps Gerontology Center, Miami University, Oxford, OH, USA
| | - Mark Woodhouse
- Division of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis, MN, USA
| | - Teresa Lewis
- Nursing Facility Rates and Policy Division, Minnesota Department of Human Services, Saint Paul, MN, USA
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Parikh RR, Inciardi RM, Wang W, Hegde SM, Norby FL, Zhang MJ, Reyes JL, Van’t Hof JR, Alonso A, Shah AM, Solomon SD, Chen LY. Association of Physical Activity With Left Atrial Function in Older Adults: The ARIC Study. JACC Cardiovasc Imaging 2023; 16:566-568. [PMID: 36752428 PMCID: PMC10184180 DOI: 10.1016/j.jcmg.2022.10.026] [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] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 10/19/2022] [Accepted: 10/20/2022] [Indexed: 01/13/2023]
Affiliation(s)
- Romil R. Parikh
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
- Lillehei Heart Institute and Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN
| | | | - Wendy Wang
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
| | - Sheila M. Hegde
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Boston, MA
| | - Faye L. Norby
- Center for Cardiac Arrest Prevention, Department of Cardiology, Cedars-Sinai Smidt Heart Institute, Los Angeles, CA
| | - Michael J. Zhang
- Lillehei Heart Institute and Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN
| | - Jorge L. Reyes
- Lillehei Heart Institute and Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN
| | - Jeremy R. Van’t Hof
- Lillehei Heart Institute and Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN
| | - Alvaro Alonso
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Amil M. Shah
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Boston, MA
| | - Scott D. Solomon
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Boston, MA
| | - Lin Yee Chen
- Lillehei Heart Institute and Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN
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Parikh RR, Norby FL, Wang W, Thenappan T, Prins KW, Van't Hof JR, Lutsey PL, Solomon SD, Shah AM, Chen LY. Association of Right Ventricular Afterload With Atrial Fibrillation Risk in Older Adults: The Atherosclerosis Risk in Communities Study. Chest 2022; 162:884-893. [PMID: 35562059 PMCID: PMC9659616 DOI: 10.1016/j.chest.2022.05.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 05/03/2022] [Accepted: 05/04/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Atrial fibrillation (AF) is widely perceived to originate from the left atrium (LA). Whether increases in right ventricular (RV) afterload in older adults play an etiological role in AF genesis independent of LA and left ventricular (LV) remodeling is unknown. RESEARCH QUESTION Is higher RV afterload associated with greater AF risk independent of LA and LV remodeling? STUDY DESIGN AND METHODS In this observational prospective study, we included 2,246 community-dwelling older adults (mean age, 75 years) without known cardiovascular disease, with LV ejection fraction > 50%, LA volume index < 34 mL/m2, and E/e' ratio < 14 and a measurable functional tricuspid regurgitation jet velocity. From 2D-echocardiograms, we estimated pulmonary artery systolic pressure (PASP) and pulmonary vascular resistance (PVR). We ascertained incident AF (through 2018) from hospital discharge codes and death certificates. We estimated hazard ratios (HR) by Cox regression. RESULTS During follow-up (median, 6.3 years; interquartile interval, 5.5-6.9 years), 215 participants developed AF. AF risk was significantly higher in the third (vs first) tertile of PASP (HR, 1.65; 95% CI, 1.08-2.54) and PVR (HR, 1.38; 95% CI, 1.00-2.08) independent of LA and LV structure and function, heart rate, BMI, prevalent sleep apnea, systemic BP, antihypertensive medications, and lung, kidney, and thyroid function. These associations persisted after further exclusion of participants with tricuspid regurgitation jet velocity > 2.8 m/s and lateral and septal mitral annular velocity above age- and sex-specific reference limits. INTERPRETATION In older adults, higher RV afterload is associated with greater AF risk independent of LA and LV remodeling. Future research should focus on confirming this novel association and elucidate underlying mechanisms.
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Affiliation(s)
- Romil R Parikh
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN; Lillehei Heart Institute and Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN
| | - Faye L Norby
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN; Center for Cardiac Arrest Prevention, Department of Cardiology, Cedars-Sinai Smidt Heart Institute, Los Angeles, CA
| | - Wendy Wang
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN; Lillehei Heart Institute and Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN
| | - Thenappan Thenappan
- Lillehei Heart Institute and Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN
| | - Kurt W Prins
- Lillehei Heart Institute and Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN
| | - Jeremy R Van't Hof
- Lillehei Heart Institute and Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN
| | - Pamela L Lutsey
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
| | - Scott D Solomon
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, MA
| | - Amil M Shah
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, MA
| | - Lin Yee Chen
- Lillehei Heart Institute and Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN.
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Parikh RR, Folsom AR, Poudel K, Lutsey PL, Demmer RT, Pankow JS, Chen LY, Tang W. Association of Differential Leukocyte Count With Incident Abdominal Aortic Aneurysm Over 22.5 Years: The ARIC Study. Arterioscler Thromb Vasc Biol 2021; 41:2342-2351. [PMID: 34134517 PMCID: PMC9612423 DOI: 10.1161/atvbaha.121.315903] [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] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
OBJECTIVE: Leukocytes contribute to the development of abdominal aortic aneurysm (AAA). We evaluated whether associations of differential leukocyte counts with AAA persist after accounting for traditional risk factors of AAA. APPROACH AND RESULTS: Among 11 217 adults from the Atherosclerosis Risk in Communities Study, we evaluated associations of differential leukocyte counts at baseline (1987–1989) with incident AAAs over a median follow-up of 22.5 years, using Cox proportional hazards regression. Each differential leukocyte count was categorized into 5 groups—below normal, tertiles within the normal range, and above normal, with the first tertile serving as the referent. We identified 377 incident AAAs through 2011, using hospital discharge diagnoses, linked Medicare records, or death certificates. At baseline, higher neutrophil, monocyte, and eosinophil counts were associated with higher risk of AAA, independent of smoking, other differential leukocyte counts, and other traditional risk factors. The association with incident AAA was the strongest for above normal neutrophil count, with an adjusted hazard ratio (95% CI) of 2.17 (1.29–3.64). Below normal neutrophil, lymphocyte, eosinophil and basophil counts were associated with higher risk of AAA with adjusted hazard ratio (95% CI) between 1.86 (1.04–3.35) and 1.62 (1.10–2.39). CONCLUSIONS: Higher neutrophil, monocyte, and eosinophil counts in midlife are associated with higher risk of AAA, even after accounting for traditional risk factors such as smoking, obesity, and atherosclerosis. This suggests the need to identify nontraditional risk factors and treatment strategies to mitigate the residual risk of AAA conferred by midlife inflammation. Whether immunosuppression is associated with higher risk of AAA needs further investigation.
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Affiliation(s)
- Romil R. Parikh
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Aaron R. Folsom
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Kripa Poudel
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Pamela L. Lutsey
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Ryan T. Demmer
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - James S. Pankow
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Lin Y. Chen
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Weihong Tang
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
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Parikh RR, Folsom AR, Misialek JR, Rosamond WD, Chang PP, Tang W, Cushman M. Prospective study of plasma high molecular weight kininogen and prekallikrein and incidence of coronary heart disease, ischemic stroke and heart failure. Thromb Res 2019; 182:89-94. [PMID: 31473403 PMCID: PMC6825898 DOI: 10.1016/j.thromres.2019.08.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Revised: 07/10/2019] [Accepted: 08/17/2019] [Indexed: 10/26/2022]
Abstract
INTRODUCTION High molecular weight kininogen (HK) and prekallikrein (PK) are proteins in the kallikrein/kinin system of the coagulation cascade. They play an important role in the contact activation system of the intrinsic coagulation pathway, renin-angiotensin activation, and inflammation. Hence these proteins have been posited to affect the occurrence of cardiovascular events and thus to be potential therapeutic targets. Previous case-control studies have provided inconsistent evidence for an association of HK and PK with cardiovascular disease. METHODS In the prospective population-based Atherosclerosis Risk in Communities(ARIC) Study, we used Cox proportional hazards regression models to investigate the association in 4195 middle-aged adults of plasma HK and PK concentrations in 1993-95 (linearly and in quartiles) with incident coronary heart disease, ischemic stroke, and heart failure through 2016. RESULTS Over a mean of 18 years follow-up, we identified incident cardiovascular events (coronary heart disease and ischemic stroke) in 618 participants and heart failure in 667. We observed no significant relation between HK or PK and cardiovascular disease or heart failure, before and after adjusting for several potential confounding variables. CONCLUSIONS We found no compelling evidence to support an association of plasma HK or PK concentrations with incident CHD, ischemic stroke, or heart failure.
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Affiliation(s)
- Romil R Parikh
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, 1300 South 3nd Street, Suite 300, Minneapolis, MN 55454, United States.
| | - Aaron R Folsom
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, 1300 South 3nd Street, Suite 300, Minneapolis, MN 55454, United States.
| | - Jeffrey R Misialek
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, 1300 South 3nd Street, Suite 300, Minneapolis, MN 55454, United States.
| | - Wayne D Rosamond
- Department of Epidemiology, University of North Carolina, 137 East Franklin Street, Suite 306, CB# 7435, Chapel Hill, NC 27514, United States.
| | - Patricia P Chang
- Division of Cardiology, Department of Medicine, University of North Carolina, 300 Meadowmont Village Cir #104, Chapel Hill, NC 27517, United States.
| | - Weihong Tang
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, 1300 South 3nd Street, Suite 300, Minneapolis, MN 55454, United States.
| | - Mary Cushman
- Department of Pathology and Laboratory Medicine, University of Vermont College of Medicine, Main Pavilion, 111 Colchester Ave, Burlington, VT 05401, United States; Department of Medicine, University of Vermont College of Medicine, Main Pavilion, 111 Colchester Ave, Burlington, VT 05401, United States.
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