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Malik S, Waheed Y. Tracking down the recent surge of polio virus in endemic and outbreak countries. J Med Virol 2023; 95:e28265. [PMID: 36316293 DOI: 10.1002/jmv.28265] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Revised: 10/17/2022] [Accepted: 10/25/2022] [Indexed: 11/11/2022]
Abstract
Continuous and progressive efforts are being made globally to eradicate the incidence of poliovirus. The detrimental nature of polio calls for action of global vaccination. Owing to large-scale vaccination efforts, many countries have been declared polio-free and people are fully vaccinated against poliovirus. However, concern still remains as new cases are being identified in countries declared polio-free. This scenario is particularly noticed due to the comprised healthcare system in the past 3 years of the Corona pandemic. Conditions for lower-middle-income countries are more problematic, where there are meager healthcare resources and the burden on the healthcare system is higher. Studies indicate some cases of non-paralytic species of polio including cVDPV1, cVDPV2, and cVDPV3 in the group of outbreak countries. However, the major problem is associated with wild-type poliovirus, that is, WPV1 which leads to paralytic disease and is still present in endemic countries, such as Afghanistan and Pakistan. The incidence rate of wild polio cases has significantly decreased in comparison to the past years but the problem needs to be dealt with at the grass-roots level. In this article, the most recent data have been collected pertaining to the incidence of multivariant species of poliovirus, with a special focus on endemic and outbreak countries. A short overview of challenges to vaccination and a recommendatory overview has also been included for dealing with polio surges.
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Affiliation(s)
- Shiza Malik
- Bridging Health Foundation, Rawalpindi, Pakistan
| | - Yasir Waheed
- Office of Research, Innovation, and Commercialization (ORIC), Shaheed Zulfiqar Ali Bhutto Medical University (SZABMU), Islamabad, Pakistan.,Gilbert and Rose-Marie Chagoury School of Medicine, Lebanese American University, Byblos, Lebanon
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Khan T, Khan A, Ansari JK, Najmi MH, Wei DQ, Muhammad K, Waheed Y. Potential Immunogenic Activity of Computationally Designed mRNA- and Peptide-Based Prophylactic Vaccines against MERS, SARS-CoV, and SARS-CoV-2: A Reverse Vaccinology Approach. Molecules 2022; 27:molecules27072375. [PMID: 35408772 PMCID: PMC9000378 DOI: 10.3390/molecules27072375] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 03/26/2022] [Accepted: 03/28/2022] [Indexed: 02/07/2023] Open
Abstract
The continued emergence of human coronaviruses (hCoVs) in the last few decades has posed an alarming situation and requires advanced cross-protective strategies against these pandemic viruses. Among these, Middle East Respiratory Syndrome coronavirus (MERS-CoV), Severe Acute Respiratory Syndrome coronavirus (SARS-CoV), and Severe Acute Respiratory Syndrome coronavirus-2 (SARS-CoV-2) have been highly associated with lethality in humans. Despite the challenges posed by these viruses, it is imperative to develop effective antiviral therapeutics and vaccines for these human-infecting viruses. The proteomic similarity between the receptor-binding domains (RBDs) among the three viral species offers a potential target for advanced cross-protective vaccine designs. In this study, putative immunogenic epitopes including Cytotoxic T Lymphocytes (CTLs), Helper T Lymphocytes (HTLs), and Beta-cells (B-cells) were predicted for each RBD-containing region of the three highly pathogenic hCoVs. This was followed by the structural organization of peptide- and mRNA-based prophylactic vaccine designs. The validated 3D structures of these epitope-based vaccine designs were subjected to molecular docking with human TLR4. Furthermore, the CTL and HTL epitopes were processed for binding with respective human Lymphocytes Antigens (HLAs). In silico cloning designs were obtained for the prophylactic vaccine designs and may be useful in further experimental designs. Additionally, the epitope-based vaccine designs were evaluated for immunogenic activity through immune simulation. Further studies may clarify the safety and efficacy of these prophylactic vaccine designs through experimental testing against these human-pathogenic coronaviruses.
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Affiliation(s)
- Taimoor Khan
- Department of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China; (T.K.); (A.K.); (D.-Q.W.)
| | - Abbas Khan
- Department of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China; (T.K.); (A.K.); (D.-Q.W.)
| | - Jawad Khaliq Ansari
- Foundation University Medical College, Foundation University Islamabad, Islamabad 46000, Pakistan; (J.K.A.); (M.H.N.)
| | - Muzammil Hasan Najmi
- Foundation University Medical College, Foundation University Islamabad, Islamabad 46000, Pakistan; (J.K.A.); (M.H.N.)
| | - Dong-Qing Wei
- Department of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China; (T.K.); (A.K.); (D.-Q.W.)
- Peng Cheng Laboratory, Vanke Cloud City Phase I Building 8, Xili Street, Nashan District, Shenzhen 518055, China
- State Key Laboratory of Microbial Metabolism, Shanghai-Islamabad-Belgrade Joint Innovation Center on Antibacterial Resistances, Joint Laboratory of International Cooperation in Metabolic and Developmental Sciences, Ministry of Education and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Khalid Muhammad
- Department of Biology, College of Sciences, United Arab Emirates University, Al Ain 15551, United Arab Emirates
- Correspondence: (K.M.); (Y.W.)
| | - Yasir Waheed
- Foundation University Medical College, Foundation University Islamabad, Islamabad 46000, Pakistan; (J.K.A.); (M.H.N.)
- Correspondence: (K.M.); (Y.W.)
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Cousin E, Duncan BB, Stein C, Ong KL, Vos T, Abbafati C, Abbasi-Kangevari M, Abdelmasseh M, Abdoli A, Abd-Rabu R, Abolhassani H, Abu-Gharbieh E, Accrombessi MMK, Adnani QES, Afzal MS, Agarwal G, Agrawaal KK, Agudelo-Botero M, Ahinkorah BO, Ahmad S, Ahmad T, Ahmadi K, Ahmadi S, Ahmadi A, Ahmed A, Ahmed Salih Y, Akande-Sholabi W, Akram T, Al Hamad H, Al-Aly Z, Alcalde-Rabanal JE, Alipour V, Aljunid SM, Al-Raddadi RM, Alvis-Guzman N, Amini S, Ancuceanu R, Andrei T, Andrei CL, Anjana RM, Ansar A, Antonazzo IC, Antony B, Anyasodor AE, Arabloo J, Arizmendi D, Armocida B, Artamonov AA, Arulappan J, Aryan Z, Asgari S, Ashraf T, Astell-Burt T, Atorkey P, Atout MMW, Ayanore MA, Badiye AD, Baig AA, Bairwa M, Baker JL, Baltatu OC, Banik PC, Barnett A, Barone MTU, Barone-Adesi F, Barrow A, Bedi N, Belete R, Belgaumi UI, Bell AW, Bennett DA, Bensenor IM, Beran D, Bhagavathula AS, Bhaskar S, Bhattacharyya K, Bhojaraja VS, Bijani A, Bikbov B, Birara S, Bodolica V, Bonny A, Brenner H, Briko NI, Butt ZA, Caetano dos Santos FL, Cámera LA, Campos-Nonato IR, Cao Y, Cao C, Cerin E, Chakraborty PA, Chandan JS, Chattu VK, Chen S, Choi JYJ, Choudhari SG, Chowdhury EK, Chu DT, Corso B, Dadras O, Dai X, Damasceno AAM, Dandona L, Dandona R, Dávila-Cervantes CA, De Neve JW, Denova-Gutiérrez E, Dhamnetiya D, Diaz D, Ebtehaj S, Edinur HA, Eftekharzadeh S, El Sayed I, Elgendy IY, Elhadi M, Elmonem MA, Faisaluddin M, Farooque U, Feng X, Fernandes E, Fischer F, Flood D, Freitas M, Gaal PA, Gad MM, Gaewkhiew P, Getacher L, Ghafourifard M, Ghanei Gheshlagh R, Ghashghaee A, Ghith N, Ghozali G, Gill PS, Ginawi IA, Glushkova EV, Golechha M, Gopalani SV, Guimarães RA, Gupta RD, Gupta R, Gupta VK, Gupta VB, Gupta S, Habtewold TD, Hafezi-Nejad N, Halwani R, Hanif A, Hankey GJ, Haque S, Hasaballah AI, Hasan SS, Hashi A, Hassanipour S, Hay SI, Hayat K, Heidari M, Hossain MBH, Hossain S, Hosseini M, Hoveidamanesh S, Huang J, Humayun A, Hussain R, Hwang BF, Ibitoye SE, Ikuta KS, Inbaraj LR, Iqbal U, Islam MS, Islam SMS, Islam RM, Ismail NE, Isola G, Itumalla R, Iwagami M, Iyamu IO, Jahani MA, Jakovljevic M, Jayawardena R, Jha RP, John O, Jonas JB, Joo T, Kabir A, Kalhor R, Kamath A, Kanchan T, Kandel H, Kapoor N, Kayode GA, Kebede SA, Keshavarz P, Keykhaei M, Khader YS, Khajuria H, Khan MAB, Khan MN, Khan M, Khater AM, Khoja TAM, Khubchandani J, Kim MS, Kim YJ, Kimokoti RW, Kisa S, Kisa A, Kivimäki M, Korshunov VA, Korzh O, Koyanagi A, Krishan K, Kuate Defo B, Kumar GA, Kumar N, Kusuma D, La Vecchia C, Lacey B, Larsson AO, Lasrado S, Lee WC, Lee CB, Lee PH, Lee SWH, Li MC, Lim SS, Lim LL, Lucchetti G, Majeed A, Malik AA, Mansouri B, Mantovani LG, Martini S, Mathur P, McAlinden C, Mehedi N, Mekonnen T, Menezes RG, Mersha AG, Miao Jonasson J, Miazgowski T, Michalek IM, Mirica A, Mirrakhimov EM, Mirza AZ, Mithra P, Mohammadian-Hafshejani A, Mohammadpourhodki R, Mohammed A, Mokdad AH, Molokhia M, Monasta L, Moni MA, Moradpour F, Moradzadeh R, Mostafavi E, Mueller UO, Murray CJL, Mustafa A, Nagel G, Nangia V, Naqvi AA, Nayak BP, Nazari J, Ndejjo R, Negoi RI, Neupane Kandel S, Nguyen CT, Nguyen HLT, Noubiap JJ, Nowak C, Oancea B, Odukoya OO, Oguntade AS, Ojo TT, Olagunju AT, Onwujekwe OE, Ortiz A, Owolabi MO, Palladino R, Panda-Jonas S, Pandi-Perumal SR, Pardhan S, Parekh T, Parvizi M, Pepito VCF, Perianayagam A, Petcu IR, Pilania M, Podder V, Polibin RV, Postma MJ, Prashant A, Rabiee N, Rabiee M, Rahimi-Movaghar V, Rahman MA, Rahman MM, Rahman M, Rahmawaty S, Rajai N, Ram P, Rana J, Ranabhat K, Ranasinghe P, Rao CR, Rao S, Rawaf S, Rawaf DL, Rawal L, Renzaho AMN, Rezaei N, Rezapour A, Riahi SM, Ribeiro D, Rodriguez JAB, Roever L, Rohloff P, Rwegerera GM, Ryan PM, Saber-Ayad MM, Sabour S, Saddik B, Saeedi Moghaddam S, Sahebkar A, Sahoo H, Saif-Ur-Rahman KM, Salimzadeh H, Samaei M, Sanabria J, Santric-Milicevic MM, Sathian B, Sathish T, Schlaich MP, Seidu AA, Šekerija M, Senthil Kumar N, Seylani A, Shaikh MA, Shamshad H, Shawon MSR, Sheikhbahaei S, Shetty JK, Shiri R, Shivakumar KM, Shuval K, Singh JA, Singh A, Skryabin VY, Skryabina AA, Sofi-Mahmudi A, Soheili A, Sun J, Szerencsés V, Szócska M, Tabarés-Seisdedos R, Tadbiri H, Tadesse EG, Tariqujjaman M, Thankappan KR, Thapar R, Thomas N, Timalsina B, Tobe-Gai R, Tonelli M, Tovani-Palone MR, Tran BX, Tripathy JP, Tudor Car L, Tusa BS, Uddin R, Upadhyay E, Valadan Tahbaz S, Valdez PR, Vasankari TJ, Verma M, Villalobos-Daniel VE, Vladimirov SK, Vo B, Vu GT, Vukovic R, Waheed Y, Wamai RG, Werdecker A, Wickramasinghe ND, Winkler AS, Wubishet BL, Xu X, Xu S, Yahyazadeh Jabbari SH, Yatsuya H, Yaya S, Yazie TSY, Yi S, Yonemoto N, Yunusa I, Zadey S, Zaman SB, Zamanian M, Zamora N, Zastrozhin MS, Zastrozhina A, Zhang ZJ, Zhong C, Zmaili M, Zumla A, Naghavi M, Schmidt MI. Diabetes mortality and trends before 25 years of age: an analysis of the Global Burden of Disease Study 2019. Lancet Diabetes Endocrinol 2022; 10:177-192. [PMID: 35143780 PMCID: PMC8860753 DOI: 10.1016/s2213-8587(21)00349-1] [Citation(s) in RCA: 40] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 10/27/2021] [Accepted: 12/10/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Diabetes, particularly type 1 diabetes, at younger ages can be a largely preventable cause of death with the correct health care and services. We aimed to evaluate diabetes mortality and trends at ages younger than 25 years globally using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. METHODS We used estimates of GBD 2019 to calculate international diabetes mortality at ages younger than 25 years in 1990 and 2019. Data sources for causes of death were obtained from vital registration systems, verbal autopsies, and other surveillance systems for 1990-2019. We estimated death rates for each location using the GBD Cause of Death Ensemble model. We analysed the association of age-standardised death rates per 100 000 population with the Socio-demographic Index (SDI) and a measure of universal health coverage (UHC) and described the variability within SDI quintiles. We present estimates with their 95% uncertainty intervals. FINDINGS In 2019, 16 300 (95% uncertainty interval 14 200 to 18 900) global deaths due to diabetes (type 1 and 2 combined) occurred in people younger than 25 years and 73·7% (68·3 to 77·4) were classified as due to type 1 diabetes. The age-standardised death rate was 0·50 (0·44 to 0·58) per 100 000 population, and 15 900 (97·5%) of these deaths occurred in low to high-middle SDI countries. The rate was 0·13 (0·12 to 0·14) per 100 000 population in the high SDI quintile, 0·60 (0·51 to 0·70) per 100 000 population in the low-middle SDI quintile, and 0·71 (0·60 to 0·86) per 100 000 population in the low SDI quintile. Within SDI quintiles, we observed large variability in rates across countries, in part explained by the extent of UHC (r2=0·62). From 1990 to 2019, age-standardised death rates decreased globally by 17·0% (-28·4 to -2·9) for all diabetes, and by 21·0% (-33·0 to -5·9) when considering only type 1 diabetes. However, the low SDI quintile had the lowest decline for both all diabetes (-13·6% [-28·4 to 3·4]) and for type 1 diabetes (-13·6% [-29·3 to 8·9]). INTERPRETATION Decreasing diabetes mortality at ages younger than 25 years remains an important challenge, especially in low and low-middle SDI countries. Inadequate diagnosis and treatment of diabetes is likely to be major contributor to these early deaths, highlighting the urgent need to provide better access to insulin and basic diabetes education and care. This mortality metric, derived from readily available and frequently updated GBD data, can help to monitor preventable diabetes-related deaths over time globally, aligned with the UN's Sustainable Development Targets, and serve as an indicator of the adequacy of basic diabetes care for type 1 and type 2 diabetes across nations. FUNDING Bill & Melinda Gates Foundation.
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Khan A, Waris H, Rafique M, Suleman M, Mohammad A, Ali SS, Khan T, Waheed Y, Liao C, Wei DQ. The Omicron (B.1.1.529) variant of SARS-CoV-2 binds to the hACE2 receptor more strongly and escapes the antibody response: Insights from structural and simulation data. Int J Biol Macromol 2022; 200:438-448. [PMID: 35063482 PMCID: PMC8767976 DOI: 10.1016/j.ijbiomac.2022.01.059] [Citation(s) in RCA: 55] [Impact Index Per Article: 27.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Revised: 01/10/2022] [Accepted: 01/10/2022] [Indexed: 02/07/2023]
Abstract
As SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) continues to inflict chaos globally, a new variant officially known as B.1.1.529 was reported in South Africa and was found to harbor 30 mutations in the spike protein. It is too early to speculate on transmission and hospitalizations. Hence, more analyses are required, particularly to connect the genomic patterns to the phenotypic attributes to reveal the binding differences and antibody response for this variant, which can then be used for therapeutic interventions. Given the urgency of the required analysis and data on the B.1.1.529 variant, we have performed a detailed investigation to provide an understanding of the impact of these novel mutations on the structure, function, and binding of RBD to hACE2 and mAb to the NTD of the spike protein. The differences in the binding pattern between the wild type and B.1.1.529 variant complexes revealed that the key substitutions Asn417, Ser446, Arg493, and Arg498 in the B.1.1.529 RBD caused additional interactions with hACE2 and the loss of key residues in the B.1.1.529 NTD resulted in decreased interactions with three CDR regions (1-3) in the mAb. Further investigation revealed that B.1.1.529 displayed a stable dynamic that follows a global stability trend. In addition, the dissociation constant (KD), hydrogen bonding analysis, and binding free energy calculations further validated the findings. Hydrogen bonding analysis demonstrated that significant hydrogen bonding reprogramming took place, which revealed key differences in the binding. The total binding free energy using MM/GBSA and MM/PBSA further validated the docking results and demonstrated significant variations in the binding. This study is the first to provide a basis for the higher infectivity of the new SARS-CoV-2 variants and provides a strong impetus for the development of novel drugs against them.
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Affiliation(s)
- Abbas Khan
- Department of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, PR China
| | - Hira Waris
- Rawalpindi Medical College, Rawalpindi, Punjab, Pakistan
| | | | - Muhammad Suleman
- Center for Biotechnology and Microbiology, University of Swat, Khyber Pakhtunkhwa, Pakistan
| | - Anwar Mohammad
- Department of Biochemistry and Molecular Biology, Dasman Diabetes Institute, Kuwait
| | - Syed Shujait Ali
- Center for Biotechnology and Microbiology, University of Swat, Khyber Pakhtunkhwa, Pakistan
| | - Taimoor Khan
- Department of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, PR China
| | - Yasir Waheed
- Foundation University Medical College, Foundation University Islamabad, Islamabad, Pakistan
| | - Chenguang Liao
- College of Software, Zhengzhou University, Daxue Road, Zhengzhou, China
| | - Dong-Qing Wei
- Department of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, PR China; State Key Laboratory of Microbial Metabolism, Shanghai-Islamabad-Belgrade Joint Innovation Center on Antibacterial Resistances, Joint Laboratory of International Laboratory of Metabolic and Developmental Sciences, Ministry of Education and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200030, PR China; Peng Cheng Laboratory, Vanke Cloud City Phase I Building 8, Xili Street, Nashan District, Shenzhen, Guangdong 518055, PR China.
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Ismail S, Abbasi SW, Yousaf M, Ahmad S, Muhammad K, Waheed Y. Design of a Multi-Epitopes Vaccine against Hantaviruses: An Immunoinformatics and Molecular Modelling Approach. Vaccines (Basel) 2022; 10:vaccines10030378. [PMID: 35335010 PMCID: PMC8953224 DOI: 10.3390/vaccines10030378] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 02/23/2022] [Accepted: 02/25/2022] [Indexed: 02/07/2023] Open
Abstract
Hantaviruses are negative-sense, enveloped, single-stranded RNA viruses of the family Hantaviridae. In recent years, rodent-borne hantaviruses have emerged as novel zoonotic viruses posing a substantial health issue and socioeconomic burden. In the current research, a reverse vaccinology approach was applied to design a multi-epitope-based vaccine against hantavirus. A set of 340 experimentally reported epitopes were retrieved from Virus Pathogen Database and Analysis Resource (ViPR) and subjected to different analyses such as antigenicity, allergenicity, solubility, IFN gamma, toxicity, and virulent checks. Finally, 10 epitopes which cleared all the filters used were linked with each other through specific GPGPG linkers to construct a multi-antigenic epitope vaccine. The designed vaccine was then joined to three different adjuvants-TLR4-agonist adjuvant, β-defensin, and 50S ribosomal protein L7/L12-using an EAAAK linker to boost up immune-stimulating responses and check the potency of vaccine with each adjuvant. The designed vaccine structures were modelled and subjected to error refinement and disulphide engineering to enhance their stability. To understand the vaccine binding affinity with immune cell receptors, molecular docking was performed between the designed vaccines and TLR4; the docked complex with a low level of global energy was then subjected to molecular dynamics simulations to validate the docking results and dynamic behaviour. The docking binding energy of vaccines with TLR4 is -29.63 kcal/mol (TLR4-agonist), -3.41 kcal/mol (β-defensin), and -11.03 kcal/mol (50S ribosomal protein L7/L12). The systems dynamics revealed all three systems to be highly stable with a root-mean-square deviation (RMSD) value within 3 Å. To test docking predictions and determine dominant interaction energies, binding free energies of vaccine(s)-TLR4 complexes were calculated. The net binding energy of the systems was as follows: TLR4-agonist vaccine with TLR4 (MM-GBSA, -1628.47 kcal/mol and MM-PBSA, -37.75 kcal/mol); 50S ribosomal protein L7/L12 vaccine with TLR4 complex (MM-GBSA, -194.62 kcal/mol and MM-PBSA, -150.67 kcal/mol); β-defensin vaccine with TLR4 complex (MM-GBSA, -9.80 kcal/mol and MM-PBSA, -42.34 kcal/mol). Finally, these findings may aid experimental vaccinologists in developing a very potent hantavirus vaccine.
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Affiliation(s)
- Saba Ismail
- Foundation University Medical College, Foundation University Islamabad, Islamabad 44000, Pakistan;
| | - Sumra Wajid Abbasi
- NUMS Department of Biological Sciences, National University of Medical Sciences, Abid Majeed Rd, The Mall, Rawalpindi 46000, Pakistan;
| | - Maha Yousaf
- Department of Biosciences, COMSATS University Islamabad, Islamabad 45550, Pakistan;
| | - Sajjad Ahmad
- Department of Health and Biological Sciences, Abasyn University, Peshawar 25000, Pakistan;
| | - Khalid Muhammad
- Department of Biology, College of Science, United Arab Emirates University, Al Ain 15551, United Arab Emirates
- Correspondence: (K.M.); (Y.W.)
| | - Yasir Waheed
- Foundation University Medical College, Foundation University Islamabad, Islamabad 44000, Pakistan;
- Correspondence: (K.M.); (Y.W.)
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Khan T, Abdullah M, Toor TF, Almajhdi FN, Suleman M, Iqbal A, Ali L, Khan A, Waheed Y, Wei DQ. Evaluation of the Whole Proteome of Achromobacter xylosoxidans to Identify Vaccine Targets for mRNA and Peptides-Based Vaccine Designing Against the Emerging Respiratory and Lung Cancer-Causing Bacteria. Front Med (Lausanne) 2022; 8:825876. [PMID: 35186980 PMCID: PMC8854494 DOI: 10.3389/fmed.2021.825876] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 12/29/2021] [Indexed: 02/05/2023] Open
Abstract
Achromobacter xylosoxidans is a rod-shaped Gram-negative bacterium linked with causing several infections which mostly includes hematological malignancies. It has been recently reported to be associated with the development and progression of lung cancer and is an emerging respiratory disease-causing bacterium. The treatment of individuals infected with A. xylosoxidans bacteremia is difficult due to the fact that this pathogen has both intrinsic and acquired resistance mechanisms, typically resulting in a phenotype of multidrug resistance (MDR). Efforts are needed to design effective therapeutic strategies to curtail the emergence of this bacterium. Computational vaccine designing has proven its effectiveness, specificity, safety, and stability compared to conventional approaches of vaccine development. Therefore, the whole proteome of A. xylosoxidans was screened for the characterization of potential vaccine targets through subtractive proteomics pipeline for therapeutics design. Annotation of the whole proteome confirmed the three immunogenic vaccine targets, such as (E3HHR6), (E3HH04), and (E3HWA2), which were used to map the putative immune epitopes. The shortlisted epitopes, specific against Cytotoxic T Lymphocytes, Helper T-cell Lymphocytes, and linear B-Cell, were used to design the mRNA and multi-epitopes vaccine (MEVC). Initial validations confirmed the antigenic and non-allergenic properties of these constructs, followed by docking with the immune receptor, TLR-5, which resulted in robust interactions. The interaction pattern that followed in the docking complex included formation of 5 hydrogen bonds, 2 salt bridges, and 165 non-bonded contacts. This stronger binding affinity was also assessed through using the mmGBSA approach, showing a total of free binding energy of -34.64 kcal/mol. Further validations based on in silico cloning revealed a CAI score of 0.98 and an optimal percentage of GC contents (54.4%) indicated a putatively higher expression of the vaccine construct in Escherichia coli. Moreover, immune simulation revealed strong antibodies production upon the injection of the designed MEVC that resulted in the highest peaks of IgM+ IgG production (>3,500) between 10 and 15 days. In conclusion the current study provide basis for vaccine designing against the emerging A. xylosoxidans, which demands further experimental studies for in vitro and in vivo validations.
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Affiliation(s)
- Taimoor Khan
- Department of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | | | | | - Fahad N. Almajhdi
- Department of Botany and Microbiology, College of Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Muhammad Suleman
- Centre for Biotechnology and Microbiology, University of Swat, Kanju, Pakistan
| | - Arshad Iqbal
- Centre for Biotechnology and Microbiology, University of Swat, Kanju, Pakistan
| | - Liaqat Ali
- Division of Biology, Kansas State University, Manhattan, KS, United States
| | - Abbas Khan
- Department of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Yasir Waheed
- Foundation University Medical College, Foundation University Islamabad, Islamabad, Pakistan
| | - Dong-Qing Wei
- Department of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
- State Key Laboratory of Microbial Metabolism, Joint Laboratory of International Laboratory of Metabolic and Developmental Sciences, Shanghai-Islamabad-Belgrade Joint Innovation Center on Antibacterial Resistances, Ministry of Education and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
- Peng Cheng Laboratory, Shenzhen, China
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Ismail S, Waheed Y, Ahmad S, Ahsan O, Abbasi SW, Sadia K. An in silico study to unveil potential drugs and vaccine chimera for HBV capsid assembly protein: combined molecular docking and dynamics simulation approach. J Mol Model 2022; 28:51. [PMID: 35112241 DOI: 10.1007/s00894-022-05042-w] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Accepted: 01/25/2022] [Indexed: 02/07/2023]
Abstract
Humans are a major reservoir of the hepatitis B virus (HBV), therefore promising treatment and control vaccination strategies are needed to eradicate the virus. Though promising drugs and vaccines are available against HBV, still efforts are required to enrich the therapy options. Herein, the HBV assembly protein was explored to identify novel targets for future use against HBV. Computer-aided drug designing and immune-informatics techniques were employed for the identification of putative inhibitors and vaccine ensemble against HBV using capsid assembly protein. The identified drug molecule binds with high affinity to the active pocket of the protein, and several epitopes are scanned in the protein sequence. The drug molecule, besides being a good putative inhibitor, has acceptable drug-like properties. A multi-epitope vaccine is also constructed to overcome the limitations of weakly immunogenic epitopes. In contrast to the MHC II level, the set of predicted epitopes has been recognized to interact with significant numbers of HLA alleles of MHC I. Selected epitopes are extremely virulent, antigenic, nontoxic, nonallergic, have suitable affinity to bind with the prevailing DRB*0101 allele, and also spectacle 86% mediocre population coverage. A multi-epitope peptide-based vaccine chimera having 73 amino acids was designed. It emerged as substantially immunogenic, thermally stable, robust in producing cellular as well as humoral immune responses, and had competent physicochemical properties to analyze in vitro and in vivo studies. The capsid assembly protein is a in more stable nature in the presence of the drug molecule compared to the TLR3 receptor in the vaccine presence. These particulars were confirmed by exposing the docked molecules to absolute and relative binding free energy approaches of MMGBSA/PBSA. The purpose to investigate the interactions between the vaccine and a representative TLR3 immune receptor can reveal the intermolecular affinity and possible presentation mechanism of the vaccine by TLR3 to the host immune system. It was revealed that the vaccine is showing a very good affinity of binding for the TLR3 and forming a network of hydrophobic and hydrophilic interactions. Overall, the findings of this study are promising and might be useful for further experimental validations.
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Affiliation(s)
- Saba Ismail
- Foundation University Medical College, Foundation University Islamabad, DHA-I Islamabad, Islamabad, 44000, Pakistan
| | - Yasir Waheed
- Foundation University Medical College, Foundation University Islamabad, DHA-I Islamabad, Islamabad, 44000, Pakistan.
| | - Sajjad Ahmad
- Department of Health and Biological Sciences, Abasyn University, Peshawar, Pakistan
| | - Omar Ahsan
- Foundation University Medical College, Foundation University Islamabad, DHA-I Islamabad, Islamabad, 44000, Pakistan
| | - Sumra Wajid Abbasi
- Department of Biological Sciences, National University of Medical Sciences, Abid Majeed Rd, The Mall, Rawalpindi, Pakistan
| | - Khulah Sadia
- Department of Biosciences, COMSATS University Islamabad, Islamabad, Pakistan
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Ledesma JR, Ma J, Vongpradith A, Maddison ER, Novotney A, Biehl MH, LeGrand KE, Ross JM, Jahagirdar D, Bryazka D, Feldman R, Abolhassani H, Abosetugn AE, Abu-Gharbieh E, Adebayo OM, Adnani QES, Afzal S, Ahinkorah BO, Ahmad SA, Ahmadi S, Ahmed Rashid T, Ahmed Salih Y, Aklilu A, Akunna CJ, Al Hamad H, Alahdab F, Alemayehu Y, Alene KA, Ali BA, Ali L, Alipour V, Alizade H, Al-Raddadi RM, Alvis-Guzman N, Amini S, Amit AML, Anderson JA, Androudi S, Antonio CAT, Antony CM, Anwer R, Arabloo J, Arja A, Asemahagn MA, Atre SR, Azhar GS, B DB, Babar ZUD, Baig AA, Banach M, Barqawi HJ, Barra F, Barrow A, Basu S, Belgaumi UI, Bhagavathula AS, Bhardwaj N, Bhardwaj P, Bhattacharjee NV, Bhattacharyya K, Bijani A, Bikbov B, Boloor A, Briko NI, Buonsenso D, Burugina Nagaraja S, Butt ZA, Carter A, Carvalho F, Charan J, Chatterjee S, Chattu SK, Chattu VK, Christopher DJ, Chu DT, Claassens MM, Dadras O, Dagnew AB, Dai X, Dandona L, Dandona R, Daneshpajouhnejad P, Darwesh AM, Dhamnetiya D, Dianatinasab M, Diaz D, Doan LP, Eftekharzadeh S, Elhadi M, Emami A, Enany S, Faraon EJA, Farzadfar F, Fernandes E, Ferro Desideri L, Filip I, Fischer F, Foroutan M, Frank TD, Garcia-Basteiro AL, Garcia-Calavaro C, Garg T, Geberemariyam BS, Ghadiri K, Ghashghaee A, Golechha M, Goodridge A, Gupta B, Gupta S, Gupta VB, Gupta VK, Haider MR, Hamidi S, Hanif A, Haque S, Harapan H, Hargono A, Hasaballah AI, Hashi A, Hassan S, Hassankhani H, Hayat K, Hezam K, Holla R, Hosseinzadeh M, Hostiuc M, Househ M, Hussain R, Ibitoye SE, Ilic IM, Ilic MD, Irvani SSN, Ismail NE, Itumalla R, Jaafari J, Jacobsen KH, Jain V, Javanmardi F, Jayapal SK, Jayaram S, Jha RP, Jonas JB, Joseph N, Joukar F, Kabir Z, Kamath A, Kanchan T, Kandel H, Katoto PDMC, Kayode GA, Kendrick PJ, Kerbo AA, Khajuria H, Khalilov R, Khatab K, Khoja AT, Khubchandani J, Kim MS, Kim YJ, Kisa A, Kisa S, Kosen S, Koul PA, Koulmane Laxminarayana SL, Koyanagi A, Krishan K, Kucuk Bicer B, Kumar A, Kumar GA, Kumar N, Kumar N, Kwarteng A, Lak HM, Lal DK, Landires I, Lasrado S, Lee SWH, Lee WC, Lin C, Liu X, Lopukhov PD, Lozano R, Machado DB, Madhava Kunjathur S, Madi D, Mahajan PB, Majeed A, Malik AA, Martins-Melo FR, Mehta S, Memish ZA, Mendoza W, Menezes RG, Merie HE, Mersha AG, Mesregah MK, Mestrovic T, Mheidly NM, Misra S, Mithra P, Moghadaszadeh M, Mohammadi M, Mohammadian-Hafshejani A, Mohammed S, Molokhia M, Moni MA, Montasir AA, Moore CE, Nagarajan AJ, Nair S, Nair S, Naqvi AA, Narasimha Swamy S, Nayak BP, Nazari J, Neupane Kandel S, Nguyen TH, Nixon MR, Nnaji CA, Ntsekhe M, Nuñez-Samudio V, Oancea B, Odukoya OO, Olagunju AT, Oren E, P A M, Parthasarathi R, Pashazadeh Kan F, Pattanshetty SM, Paudel R, Paul P, Pawar S, Pepito VCF, Perico N, Pirestani M, Polibin RV, Postma MJ, Pourshams A, Prashant A, Pribadi DRA, Radfar A, Rafiei A, Rahim F, Rahimi-Movaghar V, Rahman M, Rahman M, Rahmani AM, Ranasinghe P, Rao CR, Rawaf DL, Rawaf S, Reitsma MB, Remuzzi G, Renzaho AMN, Reta MA, Rezaei N, Rezahosseini O, Rezai MS, Rezapour A, Roshandel G, Roshchin DO, Sabour S, Saif-Ur-Rahman KM, Salam N, Samadi Kafil H, Samaei M, Samy AM, Saroshe S, Sartorius B, Sathian B, Sawyer SM, Senthilkumaran S, Seylani A, Shafaat O, Shaikh MA, Sharafi K, Shetty RS, Shigematsu M, Shin JI, Silva JP, Singh JK, Sinha S, Skryabin VY, Skryabina AA, Spurlock EE, Sreeramareddy CT, Steiropoulos P, Sufiyan MB, Tabuchi T, Tadesse EG, Tamir Z, Tarkang EE, Tekalegn Y, Tesfay FH, Tessema B, Thapar R, Tleyjeh II, Tobe-Gai R, Tran BX, Tsegaye B, Tsegaye GW, Ullah A, Umeokonkwo CD, Valadan Tahbaz S, Vo B, Vu GT, Waheed Y, Walters MK, Whisnant JL, Woldekidan MA, Wubishet BL, Yahyazadeh Jabbari SH, Yazie TSY, Yeshaw Y, Yi S, Yiğit V, Yonemoto N, Yu C, Yunusa I, Zastrozhin MS, Zastrozhina A, Zhang ZJ, Zumla A, Mokdad AH, Salomon JA, Reiner Jr RC, Lim SS, Naghavi M, Vos T, Hay SI, Murray CJL, Kyu HH. Global, regional, and national sex differences in the global burden of tuberculosis by HIV status, 1990-2019: results from the Global Burden of Disease Study 2019. Lancet Infect Dis 2022; 22:222-241. [PMID: 34563275 PMCID: PMC8799634 DOI: 10.1016/s1473-3099(21)00449-7] [Citation(s) in RCA: 37] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 05/21/2021] [Accepted: 07/15/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Tuberculosis is a major contributor to the global burden of disease, causing more than a million deaths annually. Given an emphasis on equity in access to diagnosis and treatment of tuberculosis in global health targets, evaluations of differences in tuberculosis burden by sex are crucial. We aimed to assess the levels and trends of the global burden of tuberculosis, with an emphasis on investigating differences in sex by HIV status for 204 countries and territories from 1990 to 2019. METHODS We used a Bayesian hierarchical Cause of Death Ensemble model (CODEm) platform to analyse 21 505 site-years of vital registration data, 705 site-years of verbal autopsy data, 825 site-years of sample-based vital registration data, and 680 site-years of mortality surveillance data to estimate mortality due to tuberculosis among HIV-negative individuals. We used a population attributable fraction approach to estimate mortality related to HIV and tuberculosis coinfection. A compartmental meta-regression tool (DisMod-MR 2.1) was then used to synthesise all available data sources, including prevalence surveys, annual case notifications, population-based tuberculin surveys, and tuberculosis cause-specific mortality, to produce estimates of incidence, prevalence, and mortality that were internally consistent. We further estimated the fraction of tuberculosis mortality that is attributable to independent effects of risk factors, including smoking, alcohol use, and diabetes, for HIV-negative individuals. For individuals with HIV and tuberculosis coinfection, we assessed mortality attributable to HIV risk factors including unsafe sex, intimate partner violence (only estimated among females), and injection drug use. We present 95% uncertainty intervals for all estimates. FINDINGS Globally, in 2019, among HIV-negative individuals, there were 1·18 million (95% uncertainty interval 1·08-1·29) deaths due to tuberculosis and 8·50 million (7·45-9·73) incident cases of tuberculosis. Among HIV-positive individuals, there were 217 000 (153 000-279 000) deaths due to tuberculosis and 1·15 million (1·01-1·32) incident cases in 2019. More deaths and incident cases occurred in males than in females among HIV-negative individuals globally in 2019, with 342 000 (234 000-425 000) more deaths and 1·01 million (0·82-1·23) more incident cases in males than in females. Among HIV-positive individuals, 6250 (1820-11 400) more deaths and 81 100 (63 300-100 000) more incident cases occurred among females than among males in 2019. Age-standardised mortality rates among HIV-negative males were more than two times greater in 105 countries and age-standardised incidence rates were more than 1·5 times greater in 74 countries than among HIV-negative females in 2019. The fraction of global tuberculosis deaths among HIV-negative individuals attributable to alcohol use, smoking, and diabetes was 4·27 (3·69-5·02), 6·17 (5·48-7·02), and 1·17 (1·07-1·28) times higher, respectively, among males than among females in 2019. Among individuals with HIV and tuberculosis coinfection, the fraction of mortality attributable to injection drug use was 2·23 (2·03-2·44) times greater among males than females, whereas the fraction due to unsafe sex was 1·06 (1·05-1·08) times greater among females than males. INTERPRETATION As countries refine national tuberculosis programmes and strategies to end the tuberculosis epidemic, the excess burden experienced by males is important. Interventions are needed to actively communicate, especially to men, the importance of early diagnosis and treatment. These interventions should occur in parallel with efforts to minimise excess HIV burden among women in the highest HIV burden countries that are contributing to excess HIV and tuberculosis coinfection burden for females. Placing a focus on tuberculosis burden among HIV-negative males and HIV and tuberculosis coinfection among females might help to diminish the overall burden of tuberculosis. This strategy will be crucial in reaching both equity and burden targets outlined by global health milestones. FUNDING Bill & Melinda Gates Foundation.
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Butt B, Hussain T, Jarrar M, Khalid K, Albaker W, Ambreen A, Waheed Y. Efficacy and Safety of Remdesivir in COVID-19 Positive Dialysis Patients. Antibiotics (Basel) 2022; 11:antibiotics11020156. [PMID: 35203759 PMCID: PMC8868295 DOI: 10.3390/antibiotics11020156] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2021] [Revised: 01/20/2022] [Accepted: 01/22/2022] [Indexed: 02/07/2023] Open
Abstract
(1) Background: Immune compromised hemodialysis patients are more likely to develop COVID-19 infections, which increase the risk of mortality. The benefits of Remdesivir, despite less literature support on its effectiveness in dialysis patients due to renal toxicity, can outweigh the risks if prescribed early. The aim of this study was to evaluate the efficacy of Remdesivir on the 30-day in-hospital clinical outcome of hemodialysis population with COVID-19 infection and safety endpoints of adverse events. (2) Study design: A prospective quasi-experimental study design was used in the study. (3) Methods: The sample population consisted of 83 dialysis patients with COVID-19 who were administered Remdesivir at a dose of 100 mg before hemodialysis, as per hospital protocol. After the treatment with Remdesivir, we assessed the outcomes across two endpoints, namely primary (surviving vs. dying) as well as clinical and biochemical changes (ferritin, liver function test, C-reactive protein, oxygen requirements, and lactate dehydrogenase levels) and secondary (adverse effects, such as diarrhea, rise in ALT). In Kaplan-Meier analysis, the survival probabilities were compared between patients who received Remdesivir within 48 h of diagnosis and those who received it after 48 h. Cox regression analysis was employed to determine the predictors of outcome. (4) Results: Of the 83 patients, 91.5% survived and 8.4% died. Remdesivir administration did not reduce the death rate overall. Hospital stays were shorter (p = 0.03) and a nasopharyngeal swab for COVID-19 was negative earlier (p = 0.001) in survivors who had received Remdesivir within 48 h of diagnosis compared to those who had received Remdesivir after 48 h. The only variables linked to the 30-day mortality were serum CRP (p = 0.028) and TLC (p = 0.013). No major adverse consequences were observed with Remdesivir. (5) Conclusions: Remdesivir has the potential to shorten the recovery time for dialysis patients if taken within 48 h of onset of symptoms, without any adverse effects.
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Affiliation(s)
- Batool Butt
- Department of Medicine, Foundation University Islamabad, Islamabad 44000, Pakistan;
| | - Tajamul Hussain
- Research Chair for Biomedical Application of Nanomaterials, Biochemistry Department, College of Science, King Saud University, Riyadh 11451, Saudi Arabia;
- Center of Excellence in Biotechnology Research, College of Science, King Saud University, Riyadh 11451, Saudi Arabia
| | - Mu’taman Jarrar
- Vice Deanship for Quality and Development, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam 34212, Saudi Arabia;
- Medical Education Department, King Fahd Hospital of the University, Al-Khobar 34445, Saudi Arabia
| | - Kashaf Khalid
- Multidisciplinary Laboratory, Foundation University Islamabad, Islamabad 44000, Pakistan;
| | - Waleed Albaker
- Department of Internal Medicine, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam 34212, Saudi Arabia;
| | - Asma Ambreen
- Department of Medicine, Fauji Foundation Hospital, Rawalpindi 45000, Pakistan;
| | - Yasir Waheed
- Multidisciplinary Laboratory, Foundation University Islamabad, Islamabad 44000, Pakistan;
- Correspondence:
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Alvarez EM, Force LM, Xu R, Compton K, Lu D, Henrikson HJ, Kocarnik JM, Harvey JD, Pennini A, Dean FE, Fu W, Vargas MT, Keegan THM, Ariffin H, Barr RD, Erdomaeva YA, Gunasekera DS, John-Akinola YO, Ketterl TG, Kutluk T, Malogolowkin MH, Mathur P, Radhakrishnan V, Ries LAG, Rodriguez-Galindo C, Sagoyan GB, Sultan I, Abbasi B, Abbasi-Kangevari M, Abbasi-Kangevari Z, Abbastabar H, Abdelmasseh M, Abd-Elsalam S, Abdoli A, Abebe H, Abedi A, Abidi H, Abolhassani H, Abubaker Ali H, Abu-Gharbieh E, Achappa B, Acuna JM, Adedeji IA, Adegboye OA, Adnani QES, Advani SM, Afzal MS, Aghaie Meybodi M, Ahadinezhad B, Ahinkorah BO, Ahmad S, Ahmadi S, Ahmed MB, Ahmed Rashid T, Ahmed Salih Y, Aiman W, Akalu GT, Al Hamad H, Alahdab F, AlAmodi AA, Alanezi FM, Alanzi TM, Alem AZ, Alem DT, Alemayehu Y, Alhalaiqa FN, Alhassan RK, Ali S, Alicandro G, Alipour V, Aljunid SM, Alkhayyat M, Alluri S, Almasri NA, Al-Maweri SA, Almustanyir S, Al-Raddadi RM, Alvis-Guzman N, Ameyaw EK, Amini S, Amu H, Ancuceanu R, Andrei CL, Andrei T, Ansari F, Ansari-Moghaddam A, Anvari D, Anyasodor AE, Arabloo J, Arab-Zozani M, Argaw AM, Arshad M, Arulappan J, Aryannejad A, Asemi Z, Asghari Jafarabadi M, Atashzar MR, Atorkey P, Atreya A, Attia S, Aujayeb A, Ausloos M, Avila-Burgos L, Awedew AF, Ayala Quintanilla BP, Ayele AD, Ayen SS, Azab MA, Azadnajafabad S, Azami H, Azangou-Khyavy M, Azari Jafari A, Azarian G, Azzam AY, Bahadory S, Bai J, Baig AA, Baker JL, Banach M, Bärnighausen TW, Barone-Adesi F, Barra F, Barrow A, Basaleem H, Batiha AMM, Behzadifar M, Bekele NC, Belete R, Belgaumi UI, Bell AW, Berhie AY, Bhagat DS, Bhagavathula AS, Bhardwaj N, Bhardwaj P, Bhaskar S, Bhattacharyya K, Bhojaraja VS, Bibi S, Bijani A, Biondi A, Birara S, Bjørge T, Bolarinwa OA, Bolla SR, Boloor A, Braithwaite D, Brenner H, Bulamu NB, Burkart K, Bustamante-Teixeira MT, Butt NS, Butt ZA, Caetano dos Santos FL, Cao C, Cao Y, Carreras G, Catalá-López F, Cembranel F, Cerin E, Chakinala RC, Chakraborty PA, Chattu VK, Chaturvedi P, Chaurasia A, Chavan PP, Chimed-Ochir O, Choi JYJ, Christopher DJ, Chu DT, Chung MT, Conde J, Costa VM, Da'ar OB, Dadras O, Dahlawi SMA, Dai X, Damiani G, D'Amico E, Dandona L, Dandona R, Daneshpajouhnejad P, Darwish AH, Daryani A, De la Hoz FP, Debela SA, Demie TGG, Demissie GD, Demissie ZG, Denova-Gutiérrez E, Derbew Molla M, Desai R, Desta AA, Dhamnetiya D, Dharmaratne SD, Dhimal ML, Dhimal M, Dianatinasab M, Didehdar M, Diress M, Djalalinia S, Do HP, Doaei S, Dorostkar F, dos Santos WM, Drake TM, Ekholuenetale M, El Sayed I, El Sayed Zaki M, El Tantawi M, El-Abid H, Elbahnasawy MA, Elbarazi I, Elhabashy HR, Elhadi M, El-Jaafary SI, Enyew DB, Erkhembayar R, Eshrati B, Eskandarieh S, Faisaluddin M, Fares J, Farooque U, Fasanmi AO, Fatima W, Ferreira de Oliveira JMP, Ferrero S, Ferro Desideri L, Fetensa G, Filip I, Fischer F, Fisher JL, Foroutan M, Fukumoto T, Gaal PA, Gad MM, Gaewkhiew P, Gallus S, Garg T, Gebremeskel TG, Gemeda BNB, Getachew T, Ghafourifard M, Ghamari SH, Ghashghaee A, Ghassemi F, Ghith N, Gholami A, Gholizadeh Navashenaq J, Gilani SA, Ginindza TG, Gizaw AT, Glasbey JC, Goel A, Golechha M, Goleij P, Golinelli D, Gopalani SV, Gorini G, Goudarzi H, Goulart BNG, Grada A, Gubari MIM, Guerra MR, Guha A, Gupta B, Gupta S, Gupta VB, Gupta VK, Haddadi R, Hafezi-Nejad N, Hailu A, Haj-Mirzaian A, Halwani R, Hamadeh RR, Hambisa MT, Hameed S, Hamidi S, Haque S, Hariri S, Haro JM, Hasaballah AI, Hasan SMM, Hashemi SM, Hassan TS, Hassanipour S, Hay SI, Hayat K, Hebo SH, Heidari G, Heidari M, Herrera-Serna BY, Herteliu C, Heyi DZ, Hezam K, Hole MK, Holla R, Horita N, Hossain MM, Hossain MB, Hosseini MS, Hosseini M, Hosseinzadeh A, Hosseinzadeh M, Hostiuc M, Hostiuc S, Househ M, Hsairi M, Huang J, Hussein NR, Hwang BF, Ibitoye SE, Ilesanmi OS, Ilic IM, Ilic MD, Innos K, Irham LM, Islam RM, Islam SMS, Ismail NE, Isola G, Iwagami M, Jacob L, Jadidi-Niaragh F, Jain V, Jakovljevic M, Janghorban R, Javadi Mamaghani A, Jayaram S, Jayawardena R, Jazayeri SB, Jebai R, Jha RP, Joo T, Joseph N, Joukar F, Jürisson M, Kaambwa B, Kabir A, Kalankesh LR, Kaliyadan F, Kamal Z, Kamath A, Kandel H, Kar SS, Karaye IM, Karimi A, Kassa BG, Kauppila JH, Kemp Bohan PM, Kengne AP, Kerbo AA, Keykhaei M, Khader YS, Khajuria H, Khalili N, Khalili N, Khan EA, Khan G, Khan M, Khan MN, Khan MAB, Khanali J, Khayamzadeh M, Khosravizadeh O, Khubchandani J, Khundkar R, Kim MS, Kim YJ, Kisa A, Kisa S, Kissimova-Skarbek K, Kolahi AA, Kopec JA, Koteeswaran R, Koulmane Laxminarayana SL, Koyanagi A, Kugbey N, Kumar GA, Kumar N, Kwarteng A, La Vecchia C, Lan Q, Landires I, Lasrado S, Lauriola P, Ledda C, Lee SW, Lee WC, Lee YY, Lee YH, Leigh J, Leong E, Li B, Li J, Li MC, Lim SS, Liu X, Lobo SW, Loureiro JA, Lugo A, Lunevicius R, Magdy Abd El Razek H, Magdy Abd El Razek M, Mahmoudi M, Majeed A, Makki A, Male S, Malekpour MR, Malekzadeh R, Malik AA, Mamun MA, Manafi N, Mansour-Ghanaei F, Mansouri B, Mansournia MA, Martini S, Masoumi SZ, Matei CN, Mathur MR, McAlinden C, Mehrotra R, Mendoza W, Menezes RG, Mentis AFA, Meretoja TJ, Mersha AG, Mesregah MK, Mestrovic T, Miao Jonasson J, Miazgowski B, Michalek IM, Miller TR, Mingude AB, Mirmoeeni S, Mirzaei H, Misra S, Mithra P, Mohammad KA, Mohammadi M, Mohammadi SM, Mohammadian-Hafshejani A, Mohammadpourhodki R, Mohammed A, Mohammed S, Mohammed TA, Moka N, Mokdad AH, Molokhia M, Momtazmanesh S, Monasta L, Moni MA, Moradi G, Moradi Y, Moradzadeh M, Moradzadeh R, Moraga P, Morrison SD, Mostafavi E, Mousavi Khaneghah A, Mpundu-Kaambwa C, Mubarik S, Mwanri L, Nabhan AF, Nagaraju SP, Nagata C, Naghavi M, Naimzada MD, Naldi L, Nangia V, Naqvi AA, Narasimha Swamy S, Narayana AI, Nayak BP, Nayak VC, Nazari J, Nduaguba SO, Negoi I, Negru SM, Nejadghaderi SA, Nepal S, Neupane Kandel S, Nggada HA, Nguyen CT, Nnaji CA, Nosrati H, Nouraei H, Nowroozi A, Nuñez-Samudio V, Nwatah VE, Nzoputam CI, Oancea B, Odukoya OO, Oguntade AS, Oh IH, Olagunju AT, Olagunju TO, Olakunde BO, Oluwasanu MM, Omar E, Omar Bali A, Ong S, Onwujekwe OE, Ortega-Altamirano DV, Otstavnov N, Otstavnov SS, Oumer B, Owolabi MO, P A M, Padron-Monedero A, Padubidri JR, Pakshir K, Pana A, Pandey A, Pardhan S, Pashazadeh Kan F, Pasovic M, Patel JR, Pati S, Pattanshetty SM, Paudel U, Pereira RB, Peres MFP, Perianayagam A, Postma MJ, Pourjafar H, Pourshams A, Prashant A, Pulakunta T, Qadir MMFF, Rabiee M, Rabiee N, Radfar A, Radhakrishnan RA, Rafiee A, Rafiei A, Rafiei S, Rahim F, Rahimzadeh S, Rahman M, Rahman MA, Rahmani AM, Rajesh A, Ramezani-Doroh V, Ranabhat K, Ranasinghe P, Rao CR, Rao SJ, Rashedi S, Rashidi M, Rashidi MM, Rath GK, Rawaf DL, Rawaf S, Rawal L, Rawassizadeh R, Razeghinia MS, Regasa MT, Renzaho AMN, Rezaei M, Rezaei N, Rezaei N, Rezaeian M, Rezapour A, Rezazadeh-Khadem S, Riad A, Rios Lopez LE, Rodriguez JAB, Ronfani L, Roshandel G, Rwegerera GM, Saber-Ayad MM, Sabour S, Saddik B, Sadeghi E, Sadeghian S, Saeed U, Sahebkar A, Saif-Ur-Rahman KM, Sajadi SM, Salahi S, Salehi S, Salem MR, Salimzadeh H, Samy AM, Sanabria J, Sanmarchi F, Sarveazad A, Sathian B, Sawhney M, Sawyer SM, Saylan M, Schneider IJC, Seidu AA, Šekerija M, Sendo EG, Sepanlou SG, Seylani A, Seyoum K, Sha F, Shafaat O, Shaikh MA, Shamsoddin E, Shannawaz M, Sharma R, Sheikhbahaei S, Shetty A, Shetty BSK, Shetty PH, Shin JI, Shirkoohi R, Shivakumar KM, Shobeiri P, Siabani S, Sibhat MM, Siddappa Malleshappa SK, Sidemo NB, Silva DAS, Silva Julian G, Singh AD, Singh JA, Singh JK, Singh S, Sinke AH, Sintayehu Y, Skryabin VY, Skryabina AA, Smith L, Sofi-Mahmudi A, Soltani-Zangbar MS, Song S, Spurlock EE, Steiropoulos P, Straif K, Subedi R, Sufiyan MB, Suliankatchi Abdulkader R, Sultana S, Szerencsés V, Szócska M, Tabaeian SP, Tabarés-Seisdedos R, Tabary M, Tabuchi T, Tadbiri H, Taheri M, Taherkhani A, Takahashi K, Tampa M, Tan KK, Tat VY, Tavakoli A, Tbakhi A, Tehrani-Banihashemi A, Temsah MH, Tesfay FH, Tesfaye B, Thakur JS, Thapar R, Thavamani A, Thiyagarajan A, Thomas N, Tobe-Gai R, Togtmol M, Tohidast SA, Tohidinik HR, Tolani MA, Tollosa DN, Touvier M, Tovani-Palone MR, Traini E, Tran BX, Tran MTN, Tripathy JP, Tusa BS, Ukke GG, Ullah I, Ullah S, Umapathi KK, Unnikrishnan B, Upadhyay E, Ushula TW, Vacante M, Valadan Tahbaz S, Varthya SB, Veroux M, Villeneuve PJ, Violante FS, Vlassov V, Vu GT, Waheed Y, Wang N, Ward P, Weldesenbet AB, Wen YF, Westerman R, Winkler AS, Wubishet BL, Xu S, Yahyazadeh Jabbari SH, Yang L, Yaya S, Yazdi-Feyzabadi V, Yazie TS, Yehualashet SS, Yeshaneh A, Yeshaw Y, Yirdaw BW, Yonemoto N, Younis MZ, Yousefi Z, Yu C, Yunusa I, Zadnik V, Zahir M, Zahirian Moghadam T, Zamani M, Zamanian M, Zandian H, Zare F, Zastrozhin MS, Zastrozhina A, Zhang J, Zhang ZJ, Ziapour A, Zoladl M, Murray CJL, Fitzmaurice C, Bleyer A, Bhakta N. The global burden of adolescent and young adult cancer in 2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Oncol 2022; 23:27-52. [PMID: 34871551 PMCID: PMC8716339 DOI: 10.1016/s1470-2045(21)00581-7] [Citation(s) in RCA: 81] [Impact Index Per Article: 40.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 09/28/2021] [Accepted: 09/29/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND In estimating the global burden of cancer, adolescents and young adults with cancer are often overlooked, despite being a distinct subgroup with unique epidemiology, clinical care needs, and societal impact. Comprehensive estimates of the global cancer burden in adolescents and young adults (aged 15-39 years) are lacking. To address this gap, we analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, with a focus on the outcome of disability-adjusted life-years (DALYs), to inform global cancer control measures in adolescents and young adults. METHODS Using the GBD 2019 methodology, international mortality data were collected from vital registration systems, verbal autopsies, and population-based cancer registry inputs modelled with mortality-to-incidence ratios (MIRs). Incidence was computed with mortality estimates and corresponding MIRs. Prevalence estimates were calculated using modelled survival and multiplied by disability weights to obtain years lived with disability (YLDs). Years of life lost (YLLs) were calculated as age-specific cancer deaths multiplied by the standard life expectancy at the age of death. The main outcome was DALYs (the sum of YLLs and YLDs). Estimates were presented globally and by Socio-demographic Index (SDI) quintiles (countries ranked and divided into five equal SDI groups), and all estimates were presented with corresponding 95% uncertainty intervals (UIs). For this analysis, we used the age range of 15-39 years to define adolescents and young adults. FINDINGS There were 1·19 million (95% UI 1·11-1·28) incident cancer cases and 396 000 (370 000-425 000) deaths due to cancer among people aged 15-39 years worldwide in 2019. The highest age-standardised incidence rates occurred in high SDI (59·6 [54·5-65·7] per 100 000 person-years) and high-middle SDI countries (53·2 [48·8-57·9] per 100 000 person-years), while the highest age-standardised mortality rates were in low-middle SDI (14·2 [12·9-15·6] per 100 000 person-years) and middle SDI (13·6 [12·6-14·8] per 100 000 person-years) countries. In 2019, adolescent and young adult cancers contributed 23·5 million (21·9-25·2) DALYs to the global burden of disease, of which 2·7% (1·9-3·6) came from YLDs and 97·3% (96·4-98·1) from YLLs. Cancer was the fourth leading cause of death and tenth leading cause of DALYs in adolescents and young adults globally. INTERPRETATION Adolescent and young adult cancers contributed substantially to the overall adolescent and young adult disease burden globally in 2019. These results provide new insights into the distribution and magnitude of the adolescent and young adult cancer burden around the world. With notable differences observed across SDI settings, these estimates can inform global and country-level cancer control efforts. FUNDING Bill & Melinda Gates Foundation, American Lebanese Syrian Associated Charities, St Baldrick's Foundation, and the National Cancer Institute.
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Abstract
In 2016, the World Health Assembly adopted a Global Health Sector Strategy on viral hepatitis, with targets set for the years 2020 and 2030 to achieve hepatitis elimination. The main target of hepatitis elimination strategy is to reduce the incidence of hepatitis B virus (HBV) and hepatitis C virus (HCV) by 90% and mortality by 65% in 2030. In last 5 years, the number of people receiving HCV treatment has increased from 1 million to 9.4 million; however, this number is far from the 2030 target of 40 million people receiving HCV treatment. HBV and HCV incidence rates are down from 1.4 million to 1.1 million annual deaths but this is far from the 2030 target of < 0.5 million deaths. The coronavirus disease 2019 pandemic has severely affected the efforts in the fight against hepatitis. No major donor has committed to investing in the fight against hepatitis. Time is running out. There is a need to speed up efforts in the fight against hepatitis to achieve hepatitis elimination by 2030.
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Affiliation(s)
- Yasir Waheed
- Multidisciplinary Laboratory, Foundation University Medical College, Foundation University Islamabad, Islamabad 44000, Pakistan
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Khanali J, Malekpour MR, Azangou-Khyavy M, Saeedi Moghaddam S, Rezaei N, Kolahi AA, Abbasi-Kangevari M, Mohammadi E, Rezaei N, Yoosefi M, Keykhaei M, Farzi Y, Gorgani F, Larijani B, Farzadfar F. Global, regional, and national quality of care of gallbladder and biliary tract cancer: a systematic analysis for the global burden of disease study 1990-2017. Int J Equity Health 2021; 20:259. [PMID: 34922531 PMCID: PMC8684179 DOI: 10.1186/s12939-021-01596-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 11/17/2021] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND To improve health outcomes to their maximum level, defining indices to measure healthcare quality and accessibility is crucial. In this study, we implemented the novel Quality of Care Index (QCI) to estimate the quality and accessibility of care for patients with gallbladder and biliary tract cancer (GBBTC) in 195 countries, 21 Global Burden of Disease (GBD) regions, Socio-demographic Index (SDI) quintiles, and sex groups. METHOD This cross-sectional study extracted estimates on GBBTC burden from the GBD 2017, which presents population-based estimates on GBBTC burden for higher than 15-year-old patients from 1990 to 2017. Four secondary indices indicating quality of care were chosen, comprising Mortality to incidence, Disability-Adjusted Life Year (DALY) to prevalence, prevalence to incidence, and years of life lost (YLL) to years lived with disability (YLD) ratios. Then, the whole dataset was analyzed using Principal Component Analysis to combine the four indices and create a single all-inclusive measure named QCI. The QCI was scaled to the 0-100 range, with 100 indicating the best quality of care among countries. Gender Disparity Ratio (GDR) was defined as the female to male QCI ratio to show gender inequity throughout the regions and countries. RESULTS Global QCI score for GBBTC was 33.5 in 2017, which has increased by 29% since 1990. There was a considerable gender disparity in favor of men (GDR = 0.74) in 2017, showing QCI has moved toward gender inequity since 1990 (GDR = 0.85). Quality of care followed a heterogeneous pattern among regions and countries and was positively correlated with the countries' developmental status reflected in SDI (r = 0.7; CI 95%: 0.61-0.76; P value< 0.001). Accordingly, High-income North America (QCI = 72.4) had the highest QCI; whereas, Eastern Sub-Saharan Africa (QCI = 3) had the lowest QCI among regions. Patients aged 45 to 80 had lower QCI scores than younger and older adults. The highest QCI score was for the older than 95 age group (QCI = 54), and the lowest was for the 50-54 age group (QCI = 26.0). CONCLUSIONS QCI improved considerably from 1990 to 2017; however, it showed heterogeneous distribution and inequity between sex and age groups. In each regional context, plans from countries with the highest QCI and best gender equity should be disseminated and implemented in order to decrease the overall burden of GBBTC.
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Affiliation(s)
- Javad Khanali
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Social Determinants of Health Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad-Reza Malekpour
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammadreza Azangou-Khyavy
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Social Determinants of Health Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Sahar Saeedi Moghaddam
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Negar Rezaei
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Ali-Asghar Kolahi
- Social Determinants of Health Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohsen Abbasi-Kangevari
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Social Determinants of Health Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Esmaeil Mohammadi
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Nazila Rezaei
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Moein Yoosefi
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Keykhaei
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Yosef Farzi
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Fateme Gorgani
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Bagher Larijani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Farshad Farzadfar
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
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Jamil Z, Almajhdi FN, Khalid S, Asghar M, Ahmed J, Waheed Y. Comparison of Low-Versus High-Dose Steroids in the Clinical Outcome of Hospitalized COVID-19 Patients. Antibiotics (Basel) 2021; 10:antibiotics10121510. [PMID: 34943722 PMCID: PMC8698954 DOI: 10.3390/antibiotics10121510] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 11/28/2021] [Accepted: 11/30/2021] [Indexed: 02/07/2023] Open
Abstract
(1) Objectives: Patients with COVID-19 infection have been given various formulations and dosages of steroids over the last year and a half. This study aims to compare the effects of different formulations and doses of steroids on the 30 day in-hospital clinical outcome of patients with severe COVID-19 infection. (2) Material and Methods: An analysis of a retrospective cohort was carried out on patients with severe COVID-19 infection in a high-dependency unit (HDU) between February and July 2021. In total, 557 patients were included in this study. Patients who did not receive steroids (124) were excluded. Patients were divided into three groups based on dosages of steroids (Dexamethasone = 6 mg/day, Dexamethasone > 6 mg/day, and Methylprednisolone = 500 mg/day), given for 10 days. First, clinical outcome was evaluated on the 10th day of steroid administration in relation to mode of oxygen delivery. Then, Kaplan-Meier analysis was employed to determine 30 day in-hospital survival in relation to the use of steroid. (3) Results: Three groups were statistically equal according to biochemical characteristics. After 10 days of Methylprednisolone = 500 mg/day vs. Dexamethasone = 6 mg/day, 10.9% vs. 6.2% of patients required invasive ventilation (p = 0.01). The 30 day in-hospital mortality was lowest, 3%, in individuals receiving Dexamethasone = 6 mg/day, compared to 3.9% in individuals receiving Dexamethasone > 6 mg/day and 9.9% in individuals receiving Methylprednisolone = 500 mg/day, respectively. The median elapsed time was longer than 28 days between admission and outcome for Dexamethasone = 6 mg/day, compared to 18 days for Dexamethasone > 6 mg/day and 17 days for Methylprednisolone = 500 mg/day (p = < 0.0001). Dexamethasone = 6 mg/day was found to be a positive predictor of clinical outcome in COVID-19 patients on regression analysis. (4) Conclusions: Low-dose Dexamethasone (6 mg/day) is more effective than high-dose Dexamethasone and Methylprednisolone in improving the survival outcome of severe COVID-19 cases.
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Affiliation(s)
- Zubia Jamil
- Department of Medicine, Foundation University Medical College, Foundation University Islamabad, Islamabad 44000, Pakistan; (Z.J.); (S.K.)
| | - Fahad N. Almajhdi
- Department of Botany and Microbiology, College of Science, King Saud University, Riyadh 11451, Saudi Arabia;
| | - Samreen Khalid
- Department of Medicine, Foundation University Medical College, Foundation University Islamabad, Islamabad 44000, Pakistan; (Z.J.); (S.K.)
| | - Muhammad Asghar
- Division of Infectious Diseases, Department of Medicine Solna, Karolinska Instututet, 17177 Stockholm, Sweden;
- Department of Infectious Diseases, Karolinska University Hospital, 17164 Stockholm, Sweden
| | - Jamal Ahmed
- Department of Pulmonology, Fauji Foundation Hospital, Rawalpindi 45000, Pakistan;
| | - Yasir Waheed
- Multidisciplinary Lab, Foundation University Medical College, Foundation University Islamabad, Islamabad 44000, Pakistan
- Correspondence:
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Waqar W, Ismail S, Jamil Z, Al-Shehhi A, Imran M, Hetta HF, Muhammad K, Waheed Y. SARS-CoV-2 associated pathogenesis, immune dysfunction and involvement of host factors: a comprehensive review. Eur Rev Med Pharmacol Sci 2021; 25:7526-7542. [PMID: 34919255 DOI: 10.26355/eurrev_202112_27453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Infectious diseases, especially viral infections, have emerged as a major concern for public health in recent years. Recently emerged COVID-19, caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), has been declared a pandemic by World Health Organization since March 2020. It was first identified in Wuhan, China, in December 2019 and has since claimed more than a million lives. Complicated symptoms are associated with rising incidence and fatality rates, while many of the vaccine candidates are in the final stages of clinical trials. This review encompasses a summary of existing literature on COVID-19, including the basics of the disease such as the causative agent's genome characterization, modes of transmission of the virus, pathogenesis, and clinical presentations like associated immune responses, neurological manifestations, the variety of host genetic factors influencing the disease and the vulnerability of different groups being affected by COVID-19.
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Affiliation(s)
- W Waqar
- Foundation University Islamabad, Islamabad, Pakistan.
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15
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Haq AU, Khan A, Khan J, Irum S, Waheed Y, Ahmad S, Nizam-Uddin N, Albutti A, Zaman N, Hussain Z, Ali SS, Waseem M, Kanwal F, Wei DQ, Wang Q. Annotation of Potential Vaccine Targets and Design of a Multi-Epitope Subunit Vaccine against Yersinia pestis through Reverse Vaccinology and Validation through an Agent-Based Modeling Approach. Vaccines (Basel) 2021; 9:vaccines9111327. [PMID: 34835260 PMCID: PMC8625334 DOI: 10.3390/vaccines9111327] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 11/01/2021] [Accepted: 11/02/2021] [Indexed: 02/07/2023] Open
Abstract
Yersinia pestis is responsible for plague and major pandemics in Asia and Europe. This bacterium has shown resistance to an array of drugs commonly used for the treatment of plague. Therefore, effective therapeutics measurements, such as designing a vaccine that can effectively and safely prevent Y. pestis infection, are of high interest. To fast-track vaccine development against Yersinia pestis, herein, proteome-wide vaccine target annotation was performed, and structural vaccinology-assisted epitopes were predicted. Among the total 3909 proteins, only 5 (rstB, YPO2385, hmuR, flaA1a, and psaB) were shortlisted as essential vaccine targets. These targets were then subjected to multi-epitope vaccine design using different linkers. EAAK, AAY, and GPGPG as linkers were used to link CTL, HTL, and B-cell epitopes, and an adjuvant (beta defensin) was also added at the N-terminal of the MEVC. Physiochemical characterization, such as determination of the instability index, theoretical pI, half-life, aliphatic index, stability profiling, antigenicity, allergenicity, and hydropathy of the ensemble, showed that the vaccine is highly stable, antigenic, and non-allergenic and produces multiple interactions with immune receptors upon docking. In addition, molecular dynamics simulation confirmed the stable binding and good dynamic properties of the vaccine-TLR complex. Furthermore, in silico and immune simulation of the developed MEVC for Y. pestis showed that the vaccine triggered strong immune response after several doses at different intervals. Neutralization of the antigen was observed at the third day of injection. Conclusively, the vaccine designed here for Y. pestis produces an immune response; however, further immunological testing is needed to unveil its real efficacy.
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Affiliation(s)
- Azaz Ul Haq
- Center for Biotechnology and Microbiology, Kanju Campus, University of Swat, Swat 19200, Pakistan; (A.U.H.); (J.K.); (N.Z.); (Z.H.); (S.S.A.)
| | - Abbas Khan
- Department of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China;
| | - Jafar Khan
- Center for Biotechnology and Microbiology, Kanju Campus, University of Swat, Swat 19200, Pakistan; (A.U.H.); (J.K.); (N.Z.); (Z.H.); (S.S.A.)
| | - Shamaila Irum
- Department of Zoology, University of Gujrat, Punjab 50700, Pakistan;
| | - Yasir Waheed
- Multidisciplinary Department, Foundation University Medical College, Foundation University Islamabad, Islamabad 44000, Pakistan;
| | - Sajjad Ahmad
- Department of Health and Biological Sciences, Abasyn University, Peshawar 25000, Pakistan;
| | - N. Nizam-Uddin
- Biomedical Engineering Department, HITEC University, Taxila 47080, Pakistan;
| | - Aqel Albutti
- Department of Medical Biotechnology, College of Applied Medical Sciences, Qassim University, Buraydah 51452, Saudi Arabia;
| | - Nasib Zaman
- Center for Biotechnology and Microbiology, Kanju Campus, University of Swat, Swat 19200, Pakistan; (A.U.H.); (J.K.); (N.Z.); (Z.H.); (S.S.A.)
| | - Zahid Hussain
- Center for Biotechnology and Microbiology, Kanju Campus, University of Swat, Swat 19200, Pakistan; (A.U.H.); (J.K.); (N.Z.); (Z.H.); (S.S.A.)
| | - Syed Shujait Ali
- Center for Biotechnology and Microbiology, Kanju Campus, University of Swat, Swat 19200, Pakistan; (A.U.H.); (J.K.); (N.Z.); (Z.H.); (S.S.A.)
| | - Muhammad Waseem
- Faculty of Rehabilitation and Allied Health Science, Riphah International University, Islamabad 46000, Pakistan;
| | - Fariha Kanwal
- Med-X Research Institute, School of Biomedical Engineering, Shanghai Jiaotong University, Shanghai 200240, China;
| | - Dong-Qing Wei
- Department of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China;
- Peng Cheng Laboratory, Vanke Cloud City Phase I Building 8, Xili Street, Nashan District, Shenzhen 518055, China
- State Key Laboratory of Microbial Metabolism, Shanghai-Islamabad-Belgrade Joint Innovation Center on Antibacterial Resistances, Joint Laboratory of International Cooperation in Metabolic and Developmental Sciences, Ministry of Education and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200030, China
- Correspondence: (D.-Q.W.); (Q.W.)
| | - Qian Wang
- Department of Medicine, Nanjing Medical University, No. 140, Hanzhong Road, Nanjing 210029, China
- Correspondence: (D.-Q.W.); (Q.W.)
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Jamil Z, Khan AA, Khalid S, Asghar M, Muhammad K, Waheed Y. Beneficial Effects of Anticoagulants on the Clinical Outcomes of COVID-19 Patients. Antibiotics (Basel) 2021; 10:antibiotics10111394. [PMID: 34827332 PMCID: PMC8615249 DOI: 10.3390/antibiotics10111394] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 11/03/2021] [Accepted: 11/10/2021] [Indexed: 02/07/2023] Open
Abstract
(1) Background: Severe coronavirus disease can be complicated by a hypercoagulable state in conjunction with sepsis, increasing the risk of venous thromboembolism. This study aimed to observe the effect of anticoagulants on 30-day high-dependency unit (HDU) outcomes of moderate to severe coronavirus disease 2019 (COVID-19) patients of a tertiary care hospital at Rawalpindi, Pakistan. (2) Methods: A retrospective propensity-based case-control study was carried out to examine COVID-19 patients admitted to the HDU. Patient groups who did and did not receive anticoagulants were labeled as "anticoagulant" and "non-anticoagulant", respectively. Case-control matching (1:1) was performed via propensity scores (calculated by a regression model). Kaplan-Meier and logrank analyses were used to study survival probability. Single predictors of outcomes were determined by Cox regression analysis. (3) Results: The anticoagulant group had elevated D-dimers, advanced age, more comorbidities and a higher frequency of severe disease compared to the non-anticoagulant group (p < 0.05). Therefore, 47 cases and 47 matched controls were selected based on their propensity scores. The primary endpoint was outcome (survived vs. died). The 30-day in-HDU mortality was 25.5% for cases and 61.7% for controls (p = 0.0004). The median time from admission to death was 16 days for the case group and 7 days for the control group (p < 0.0001). The 30-day mortality was 19.1% for the enoxaparin group and 16.4% for the heparin group (p > 0.05). Enoxaparin (therapeutic and prophylactic doses) and heparin (prophylactic dose) were found to be independent factors affecting the outcomes of these patients (p < 0.001). (4) Conclusions: Anticoagulants play a beneficial role in reducing mortality among COVID-19 patients. Both anticoagulant formulations, enoxaparin (therapeutic and prophylactic doses) and heparin (prophylactic dose), were associated with improving survival among these patients.
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Affiliation(s)
- Zubia Jamil
- Department of Medicine, Foundation University Medical College, Foundation University Islamabad, Islamabad 44000, Pakistan; (Z.J.); (S.K.)
| | - Azmat Ali Khan
- Pharmaceutical Biotechnology Laboratory, Department of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia;
| | - Samreen Khalid
- Department of Medicine, Foundation University Medical College, Foundation University Islamabad, Islamabad 44000, Pakistan; (Z.J.); (S.K.)
| | - Muhammad Asghar
- Division of Infectious Diseases, Department of Medicine Solna, Karolinska Institutet, 17177 Stockholm, Sweden;
- Department of Infectious Diseases, Karolinska University Hospital, 17164 Stockholm, Sweden
| | - Khalid Muhammad
- Department of Biology, College of Sciences, United Arab Emirates University, Al Ain 15551, United Arab Emirates;
| | - Yasir Waheed
- Multidisciplinary Lab, Foundation University Medical College, Foundation University Islamabad, Islamabad 44000, Pakistan
- Correspondence:
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Ward JL, Azzopardi PS, Francis KL, Santelli JS, Skirbekk V, Sawyer SM, Kassebaum NJ, Mokdad AH, Hay SI, Abd-Allah F, Abdoli A, Abdollahi M, Abedi A, Abolhassani H, Abreu LG, Abrigo MRM, Abu-Gharbieh E, Abushouk AI, Adebayo OM, Adekanmbi V, Adham D, Advani SM, Afshari K, Agrawal A, Ahmad T, Ahmadi K, Ahmed AE, Aji B, Akombi-Inyang B, Alahdab F, Al-Aly Z, Alam K, Alanezi FM, Alanzi TM, Alcalde-Rabanal JE, Alemu BW, Al-Hajj S, Alhassan RK, Ali S, Alicandro G, Alijanzadeh M, Aljunid SM, Almasi-Hashiani A, Almasri NA, Al-Mekhlafi HM, Alonso J, Al-Raddadi RM, Altirkawi KA, Alvis-Guzman N, Amare AT, Amini S, Aminorroaya A, Amit AML, Amugsi DA, Ancuceanu R, Anderlini D, Andrei CL, Androudi S, Ansari F, Ansari I, Antonio CAT, Anvari D, Anwer R, Appiah SCY, Arabloo J, Arab-Zozani M, Ärnlöv J, Asaad M, Asadi-Aliabadi M, Asadi-Pooya AA, Atout MMW, Ausloos M, Avenyo EK, Avila-Burgos L, Ayala Quintanilla BP, Ayano G, Aynalem YA, Azari S, Azene ZN, Bakhshaei MH, Bakkannavar SM, Banach M, Banik PC, Barboza MA, Barker-Collo SL, Bärnighausen TW, Basu S, Baune BT, Bayati M, Bedi N, Beghi E, Bekuma TT, Bell AW, Bell ML, Benjet C, Bensenor IM, Berhe AK, Berhe K, Berman AE, Bhagavathula AS, Bhardwaj N, Bhardwaj P, Bhattacharyya K, Bhattarai S, Bhutta ZA, Bijani A, Bikbov B, Biondi A, Birhanu TTM, Biswas RK, Bohlouli S, Bolla SR, Boloor A, Borschmann R, Boufous S, Bragazzi NL, Braithwaite D, Breitborde NJK, Brenner H, Britton GB, Burns RA, Burugina Nagaraja S, Butt ZA, Caetano dos Santos FL, Cámera LA, Campos-Nonato IR, Campuzano Rincon JC, Cárdenas R, Carreras G, Carrero JJ, Carvalho F, Castaldelli-Maia JM, Castañeda-Orjuela CA, Castelpietra G, Catalá-López F, Cerin E, Chandan JS, Chang HY, Chang JC, Charan J, Chattu VK, Chaturvedi S, Choi JYJ, Chowdhury MAK, Christopher DJ, Chu DT, Chung MT, Chung SC, Cicuttini FM, Constantin TV, Costa VM, Dahlawi SMA, Dai H, Dai X, Damiani G, Dandona L, Dandona R, Daneshpajouhnejad P, Darwesh AM, Dávila-Cervantes CA, Davletov K, De la Hoz FP, De Leo D, Dervenis N, Desai R, Desalew A, Deuba K, Dharmaratne SD, Dhungana GP, Dianatinasab M, Dias da Silva D, Diaz D, Didarloo A, Djalalinia S, Dorostkar F, Doshi CP, Doshmangir L, Doyle KE, Duraes AR, Ebrahimi Kalan M, Ebtehaj S, Edvardsson D, El Tantawi M, Elgendy IY, El-Jaafary SI, Elsharkawy A, Eshrati B, Eskandarieh S, Esmaeilnejad S, Esmaeilzadeh F, Esteghamati S, Faro A, Farzadfar F, Fattahi N, Feigin VL, Ferede TY, Fereshtehnejad SM, Fernandes E, Ferrara P, Filip I, Fischer F, Fisher JL, Foigt NA, Folayan MO, Fomenkov AA, Foroutan M, Fukumoto T, Gad MM, Gaidhane AM, Gallus S, Gebre T, Gebremedhin KB, Gebremeskel GG, Gebremeskel L, Gebreslassie AA, Gesesew HA, Ghadiri K, Ghafourifard M, Ghamari F, Ghashghaee A, Gilani SA, Gnedovskaya EV, Godinho MA, Golechha M, Goli S, Gona PN, Gopalani SV, Gorini G, Grivna M, Gubari MIM, Gugnani HC, Guimarães RA, Guo Y, Gupta R, Haagsma JA, Hafezi-Nejad N, Haile TG, Haj-Mirzaian A, Haj-Mirzaian A, Hall BJ, Hamadeh RR, Hamagharib Abdullah K, Hamidi S, Handiso DW, Hanif A, Hankey GJ, Haririan H, Haro JM, Hasaballah AI, Hashi A, Hassan A, Hassanipour S, Hassankhani H, Hayat K, Heidari-Soureshjani R, Herteliu C, Heydarpour F, Ho HC, Hole MK, Holla R, Hoogar P, Hosseini M, Hosseinzadeh M, Hostiuc M, Hostiuc S, Househ M, Hsairi M, Huda TM, Humayun A, Hussain R, Hwang BF, Iavicoli I, Ibitoye SE, Ilesanmi OS, Ilic IM, Ilic MD, Inbaraj LR, Intarut N, Iqbal U, Irvani SSN, Islam MM, Islam SMS, Iso H, Ivers RQ, Jahani MA, Jakovljevic M, Jalali A, Janodia MD, Javaheri T, Jeemon P, Jenabi E, Jha RP, Jha V, Ji JS, Jonas JB, Jones KM, Joukar F, Jozwiak JJ, Juliusson PB, Jürisson M, Kabir A, Kabir Z, Kalankesh LR, Kalhor R, Kamyari N, Kanchan T, Karch A, Karimi SE, Kaur S, Kayode GA, Keiyoro PN, Khalid N, Khammarnia M, Khan M, Khan MN, Khatab K, Khater MM, Khatib MN, Khayamzadeh M, Khazaie H, Khoja AT, Kieling C, Kim YE, Kim YJ, Kimokoti RW, Kisa A, Kisa S, Kivimäki M, Koolivand A, Kosen S, Koyanagi A, Krishan K, Kugbey N, Kumar GA, Kumar M, Kumar N, Kurmi OP, Kusuma D, La Vecchia C, Lacey B, Lal DK, Lalloo R, Lan Q, Landires I, Lansingh VC, Larsson AO, Lasrado S, Lassi ZS, Lauriola P, Lee PH, Lee SWH, Leigh J, Leonardi M, Leung J, Levi M, Lewycka S, Li B, Li MC, Li S, Lim LL, Lim SS, Liu X, Lorkowski S, Lotufo PA, Lunevicius R, Maddison R, Mahasha PW, Mahdavi MM, Mahmoudi M, Majeed A, Maleki A, Malekzadeh R, Malta DC, Mamun AA, Mansouri B, Mansournia MA, Martinez G, Martinez-Raga J, Martins-Melo FR, Mason-Jones AJ, Masoumi SZ, Mathur MR, Maulik PK, McGrath JJ, Mehndiratta MM, Mehri F, Memiah PTN, Mendoza W, Menezes RG, Mengesha EW, Meretoja A, Meretoja TJ, Mestrovic T, Miazgowski B, Miazgowski T, Michalek IM, Miller TR, Mini GK, Mirica A, Mirrakhimov EM, Mirzaei H, Mirzaei M, Moazen B, Mohammad DK, Mohammadi S, Mohammadian-Hafshejani A, Mohammadifard N, Mohammadpourhodki R, Mohammed S, Monasta L, Moradi G, Moradi-Lakeh M, Moradzadeh R, Moraga P, Morrison SD, Mosapour A, Mousavi Khaneghah A, Mueller UO, Muriithi MK, Murray CJL, Muthupandian S, Naderi M, Nagarajan AJ, Naghavi M, Naimzada MD, Nangia V, Nayak VC, Nazari J, Ndejjo R, Negoi I, Negoi RI, Netsere HB, Nguefack-Tsague G, Nguyen DN, Nguyen HLT, Nie J, Ningrum DNA, Nnaji CA, Nomura S, Noubiap JJ, Nowak C, Nuñez-Samudio V, Ogbo FA, Oghenetega OB, Oh IH, Oladnabi M, Olagunju AT, Olusanya BO, Olusanya JO, Omar Bali A, Omer MO, Onwujekwe OE, Ortiz A, Otoiu A, Otstavnov N, Otstavnov SS, Øverland S, Owolabi MO, P A M, Padubidri JR, Pakshir K, Palladino R, Pana A, Panda-Jonas S, Pandey A, Panelo CIA, Park EK, Patten SB, Peden AE, Pepito VCF, Peprah EK, Pereira J, Pesudovs K, Pham HQ, Phillips MR, Piradov MA, Pirsaheb M, Postma MJ, Pottoo FH, Pourjafar H, Pourshams A, Prada SI, Pupillo E, Quazi Syed Z, Rabiee MH, Rabiee N, Radfar A, Rafiee A, Raggi A, Rahim F, Rahimi-Movaghar V, Rahman MHU, Rahman MA, Ramezanzadeh K, Ranabhat CL, Rao SJ, Rashedi V, Rastogi P, Rathi P, Rawaf DL, Rawaf S, Rawal L, Rawassizadeh R, Renzaho AMN, Rezaei N, Rezaei N, Rezai MS, Riahi SM, Rickard J, Roever L, Ronfani L, Roth GA, Rubagotti E, Rumisha SF, Rwegerera GM, Sabour S, Sachdev PS, Saddik B, Sadeghi E, Saeedi Moghaddam S, Sagar R, Sahebkar A, Sahraian MA, Sajadi SM, Salem MR, Salimzadeh H, Samy AM, Sanabria J, Santric-Milicevic MM, Saraswathy SYI, Sarrafzadegan N, Sarveazad A, Sathish T, Sattin D, Saxena D, Saxena S, Schiavolin S, Schwebel DC, Schwendicke F, Senthilkumaran S, Sepanlou SG, Sha F, Shafaat O, Shahabi S, Shaheen AA, Shaikh MA, Shakiba S, Shamsi M, Shannawaz M, Sharafi K, Sheikh A, Sheikhbahaei S, Shetty BSK, Shi P, Shigematsu M, Shin JI, Shiri R, Shuval K, Siabani S, Sigfusdottir ID, Sigurvinsdottir R, Silva DAS, Silva JP, Simonetti B, Singh JA, Singh V, Sinke AH, Skryabin VY, Slater H, Smith EUR, Sobhiyeh MR, Sobngwi E, Soheili A, Somefun OD, Sorrie MB, Soyiri IN, Sreeramareddy CT, Stein DJ, Stokes MA, Sudaryanto A, Sultan I, Tabarés-Seisdedos R, Tabuchi T, Tadakamadla SK, Taherkhani A, Tamiru AT, Tareque MI, Thankappan KR, Thapar R, Thomas N, Titova MV, Tonelli M, Tovani-Palone MR, Tran BX, Travillian RS, Tsai AC, Tsatsakis A, Tudor Car L, Uddin R, Unim B, Unnikrishnan B, Upadhyay E, Vacante M, Valadan Tahbaz S, Valdez PR, Varughese S, Vasankari TJ, Venketasubramanian N, Villeneuve PJ, Violante FS, Vlassov V, Vos T, Vu GT, Waheed Y, Wamai RG, Wang Y, Wang Y, Wang YP, Westerman R, Wickramasinghe ND, Wu AM, Wu C, Yahyazadeh Jabbari SH, Yamagishi K, Yano Y, Yaya S, Yazdi-Feyzabadi V, Yeshitila YG, Yip P, Yonemoto N, Yoon SJ, Younis MZ, Yousefinezhadi T, Yu C, Yu Y, Yuce D, Zaidi SS, Zaman SB, Zamani M, Zamanian M, Zarafshan H, Zarei A, Zastrozhin MS, Zhang Y, Zhang ZJ, Zhao XJG, Zhu C, Patton GC, Viner RM. Global, regional, and national mortality among young people aged 10-24 years, 1950-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 2021; 398:1593-1618. [PMID: 34755628 PMCID: PMC8576274 DOI: 10.1016/s0140-6736(21)01546-4] [Citation(s) in RCA: 72] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2021] [Revised: 05/07/2021] [Accepted: 06/30/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Documentation of patterns and long-term trends in mortality in young people, which reflect huge changes in demographic and social determinants of adolescent health, enables identification of global investment priorities for this age group. We aimed to analyse data on the number of deaths, years of life lost, and mortality rates by sex and age group in people aged 10-24 years in 204 countries and territories from 1950 to 2019 by use of estimates from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. METHODS We report trends in estimated total numbers of deaths and mortality rate per 100 000 population in young people aged 10-24 years by age group (10-14 years, 15-19 years, and 20-24 years) and sex in 204 countries and territories between 1950 and 2019 for all causes, and between 1980 and 2019 by cause of death. We analyse variation in outcomes by region, age group, and sex, and compare annual rate of change in mortality in young people aged 10-24 years with that in children aged 0-9 years from 1990 to 2019. We then analyse the association between mortality in people aged 10-24 years and socioeconomic development using the GBD Socio-demographic Index (SDI), a composite measure based on average national educational attainment in people older than 15 years, total fertility rate in people younger than 25 years, and income per capita. We assess the association between SDI and all-cause mortality in 2019, and analyse the ratio of observed to expected mortality by SDI using the most recent available data release (2017). FINDINGS In 2019 there were 1·49 million deaths (95% uncertainty interval 1·39-1·59) worldwide in people aged 10-24 years, of which 61% occurred in males. 32·7% of all adolescent deaths were due to transport injuries, unintentional injuries, or interpersonal violence and conflict; 32·1% were due to communicable, nutritional, or maternal causes; 27·0% were due to non-communicable diseases; and 8·2% were due to self-harm. Since 1950, deaths in this age group decreased by 30·0% in females and 15·3% in males, and sex-based differences in mortality rate have widened in most regions of the world. Geographical variation has also increased, particularly in people aged 10-14 years. Since 1980, communicable and maternal causes of death have decreased sharply as a proportion of total deaths in most GBD super-regions, but remain some of the most common causes in sub-Saharan Africa and south Asia, where more than half of all adolescent deaths occur. Annual percentage decrease in all-cause mortality rate since 1990 in adolescents aged 15-19 years was 1·3% in males and 1·6% in females, almost half that of males aged 1-4 years (2·4%), and around a third less than in females aged 1-4 years (2·5%). The proportion of global deaths in people aged 0-24 years that occurred in people aged 10-24 years more than doubled between 1950 and 2019, from 9·5% to 21·6%. INTERPRETATION Variation in adolescent mortality between countries and by sex is widening, driven by poor progress in reducing deaths in males and older adolescents. Improving global adolescent mortality will require action to address the specific vulnerabilities of this age group, which are being overlooked. Furthermore, indirect effects of the COVID-19 pandemic are likely to jeopardise efforts to improve health outcomes including mortality in young people aged 10-24 years. There is an urgent need to respond to the changing global burden of adolescent mortality, address inequities where they occur, and improve the availability and quality of primary mortality data in this age group. FUNDING Bill & Melinda Gates Foundation.
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Khan A, Ahsan O, Wei DQ, Ansari JK, Najmi MH, Muhammad K, Waheed Y. Computational Evaluation of Abrogation of HBx-Bcl-xL Complex with High-Affinity Carbon Nanotubes (Fullerene) to Halt the Hepatitis B Virus Replication. Molecules 2021; 26:molecules26216433. [PMID: 34770842 PMCID: PMC8587554 DOI: 10.3390/molecules26216433] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2021] [Revised: 10/21/2021] [Accepted: 10/22/2021] [Indexed: 02/07/2023] Open
Abstract
Hepatitis B virus (HBV) is the world's most prevalent chronic viral infection. More than 350 million individuals are chronic carriers of the virus, with an estimated 2 billion infected persons. For instance, the role of HBx protein in attachment and infection is very obvious and consequently deemed as an important druggable target. Targeting the interface and discovering novel drugs greatly advanced the field of therapeutics development. Therefore, in the current study, HBx to Bcl-xL is abrogated on high-affinity carbon nanotubes using computational structural biology tools. Our analysis revealed that among the total 62 carbon fullerenes, only 13 compounds exhibited inhibitory activity against HBx, which was further confirmed through IFD-based rescoring. Structural dynamics investigation revealed stable binding, compactness, and hydrogen bonds reprogramming. Moreover, the binding free energy calculation results revealed that the top hits1-4 possess the total binding energy of -54.36 kcal/mol (hit1), -50.81 kcal/mol (hit2), -47.09 kcal/mol (hit3), and -45.59 kcal/mol for hit4. In addition, the predicted KD values and bioactivity scores further validated the inhibitory potential of these top hits. The identified compounds need further in vitro and in vivo validation to aid the treatment process of HBV.
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Affiliation(s)
- Abbas Khan
- Foundation University Medical College, Foundation University Islamabad, DHA-I, Islamabad 44000, Pakistan; (A.K.); (O.A.); (J.K.A.); (M.H.N.)
| | - Omar Ahsan
- Foundation University Medical College, Foundation University Islamabad, DHA-I, Islamabad 44000, Pakistan; (A.K.); (O.A.); (J.K.A.); (M.H.N.)
| | - Dong-Qing Wei
- Department of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China;
- State Key Laboratory of Microbial Metabolism, Shanghai-Islamabad-Belgrade Joint Innovation Centre on Antibacterial Resistances, Joint Laboratory of International Laboratory of Metabolic and Developmental Sciences, Ministry of Education and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200030, China
- Peng Cheng Laboratory, Vanke Cloud City Phase I Building 8, Xili Street, Nashan District, Shenzhen 518055, China
| | - Jawad Khaliq Ansari
- Foundation University Medical College, Foundation University Islamabad, DHA-I, Islamabad 44000, Pakistan; (A.K.); (O.A.); (J.K.A.); (M.H.N.)
| | - Muzammil Hasan Najmi
- Foundation University Medical College, Foundation University Islamabad, DHA-I, Islamabad 44000, Pakistan; (A.K.); (O.A.); (J.K.A.); (M.H.N.)
| | - Khalid Muhammad
- Department of Biology, College of Sciences, United Arab Emirates University, Al Ain 15551, United Arab Emirates
- Correspondence: (K.M.); (Y.W.)
| | - Yasir Waheed
- Foundation University Medical College, Foundation University Islamabad, DHA-I, Islamabad 44000, Pakistan; (A.K.); (O.A.); (J.K.A.); (M.H.N.)
- Correspondence: (K.M.); (Y.W.)
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Komal A, Noreen M, Akhtar J, Imran M, Jamal M, Atif M, Khan J, Roman M, Ul Haq F, Aftab U, Ghaffar A, Waheed Y. Analyses of ABO blood groups with susceptibility and symptomatic variations of COVID-19 infection, a questionnaire-based survey. APMIS 2021; 129:579-586. [PMID: 34342074 PMCID: PMC8444696 DOI: 10.1111/apm.13169] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Coronavirus disease 2019 (COVID-19) is a novel respiratory disease that has led to a global pandemic and created a havoc. The COVID-19 disease severity varies among individuals, depending on fluctuating symptoms. Many infectious diseases such as hepatitis B and dengue hemorrhagic fever have been associated with ABO blood groups. The aim of this study was to explore whether ABO blood groups might serve as a risk or a protective factor for COVID-19 infection. Moreover, the symptomatic variations of COVID-19 infection among the individuals with different blood groups were also analyzed. An online questionnaire-based survey was conducted in which 305 partakers were included, who had successfully recovered from coronavirus infection. The ABO blood groups of 1294 healthy individuals were also taken as a control. The results of the current study demonstrated that antibody A containing blood groups (blood group B, p-value: 0.049 and blood group O, p-value: 0.289) had a protective role against COVID-19 infection. The comparison of symptomatic variations among COVID-19-infected subjects showed that blood group O subjects had lower chances of experiencing severe symptoms relating to respiratory distress, while subjects with AB blood group were more prone to develop symptoms, but the differences in both groups were found to be statistically non-significant. In conclusion, subjects who do not have anti-A antibodies in their serum (i.e., subjects with group A and AB) are more likely to be infected with COVID-19. The current data showed that there was no significant association of signs and symptoms variations of COVID-19 infection among individuals with different blood groups.
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Affiliation(s)
- Asma Komal
- Department of ZoologyThe Women University MultanMultanPakistan
| | - Mamoona Noreen
- Department of ZoologyThe Women University MultanMultanPakistan
| | - Junaid Akhtar
- Department of MicrobiologyUniversity of Health SciencesLahorePakistan
- Department of Allied Health SciencesFaculty of Medical & Health SciencesUniversity of SargodhaPakistan
| | - Muhammad Imran
- Department of MicrobiologyUniversity of Health SciencesLahorePakistan
| | - Muhsin Jamal
- Department of MicrobiologyAbdul Wali Khan UniversityMardanPakistan
| | - Muhammad Atif
- Department of Clinical Laboratory Sciences, College of Applied Medical SciencesJouf UniversityKingdom of Saudi Arabia
| | - Juma Khan
- Molecular LaboratorySheikh Khalifa Bin Zayyed HospitalQuettaPakistan
| | - Muhammad Roman
- Department of MicrobiologyUniversity of Health SciencesLahorePakistan
| | - Faiz Ul Haq
- Department of MicrobiologyUniversity of Health SciencesLahorePakistan
| | - Usman Aftab
- Department of PharmacologyUniversity of Health SciencesLahorePakistan
| | - Abdul Ghaffar
- Department of PharmacologyUniversity of Health SciencesLahorePakistan
| | - Yasir Waheed
- Foundation University Medical CollegeFoundation University Islamabad, DHA‐IIslamabadPakistan
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Kinyoki D, Osgood-Zimmerman AE, Bhattacharjee NV, Kassebaum NJ, Hay SI. Anemia prevalence in women of reproductive age in low- and middle-income countries between 2000 and 2018. Nat Med 2021; 27:1761-1782. [PMID: 34642490 PMCID: PMC8516651 DOI: 10.1038/s41591-021-01498-0] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Accepted: 08/10/2021] [Indexed: 02/07/2023]
Abstract
Anemia is a globally widespread condition in women and is associated with reduced economic productivity and increased mortality worldwide. Here we map annual 2000-2018 geospatial estimates of anemia prevalence in women of reproductive age (15-49 years) across 82 low- and middle-income countries (LMICs), stratify anemia by severity and aggregate results to policy-relevant administrative and national levels. Additionally, we provide subnational disparity analyses to provide a comprehensive overview of anemia prevalence inequalities within these countries and predict progress toward the World Health Organization's Global Nutrition Target (WHO GNT) to reduce anemia by half by 2030. Our results demonstrate widespread moderate improvements in overall anemia prevalence but identify only three LMICs with a high probability of achieving the WHO GNT by 2030 at a national scale, and no LMIC is expected to achieve the target in all their subnational administrative units. Our maps show where large within-country disparities occur, as well as areas likely to fall short of the WHO GNT, offering precision public health tools so that adequate resource allocation and subsequent interventions can be targeted to the most vulnerable populations.
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Affiliation(s)
- Damaris Kinyoki
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | | | | | - Nicholas J Kassebaum
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
- Department of Anesthesiology & Pain Medicine, University of Washington, Seattle, WA, USA
- Department of Global Health, University of Washington, Seattle, WA, USA
| | - Simon I Hay
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA.
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GBD 2019 HIV Collaborators. Global, regional, and national sex-specific burden and control of the HIV epidemic, 1990-2019, for 204 countries and territories: the Global Burden of Diseases Study 2019. Lancet HIV 2021; 8:e633-51. [PMID: 34592142 DOI: 10.1016/S2352-3018(21)00152-1] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND The sustainable development goals (SDGs) aim to end HIV/AIDS as a public health threat by 2030. Understanding the current state of the HIV epidemic and its change over time is essential to this effort. This study assesses the current sex-specific HIV burden in 204 countries and territories and measures progress in the control of the epidemic. METHODS To estimate age-specific and sex-specific trends in 48 of 204 countries, we extended the Estimation and Projection Package Age-Sex Model to also implement the spectrum paediatric model. We used this model in cases where age and sex specific HIV-seroprevalence surveys and antenatal care-clinic sentinel surveillance data were available. For the remaining 156 of 204 locations, we developed a cohort-incidence bias adjustment to derive incidence as a function of cause-of-death data from vital registration systems. The incidence was input to a custom Spectrum model. To assess progress, we measured the percentage change in incident cases and deaths between 2010 and 2019 (threshold >75% decline), the ratio of incident cases to number of people living with HIV (incidence-to-prevalence ratio threshold <0·03), and the ratio of incident cases to deaths (incidence-to-mortality ratio threshold <1·0). FINDINGS In 2019, there were 36·8 million (95% uncertainty interval [UI] 35·1-38·9) people living with HIV worldwide. There were 0·84 males (95% UI 0·78-0·91) per female living with HIV in 2019, 0·99 male infections (0·91-1·10) for every female infection, and 1·02 male deaths (0·95-1·10) per female death. Global progress in incident cases and deaths between 2010 and 2019 was driven by sub-Saharan Africa (with a 28·52% decrease in incident cases, 95% UI 19·58-35·43, and a 39·66% decrease in deaths, 36·49-42·36). Elsewhere, the incidence remained stable or increased, whereas deaths generally decreased. In 2019, the global incidence-to-prevalence ratio was 0·05 (95% UI 0·05-0·06) and the global incidence-to-mortality ratio was 1·94 (1·76-2·12). No regions met suggested thresholds for progress. INTERPRETATION Sub-Saharan Africa had both the highest HIV burden and the greatest progress between 1990 and 2019. The number of incident cases and deaths in males and females approached parity in 2019, although there remained more females with HIV than males with HIV. Globally, the HIV epidemic is far from the UNAIDS benchmarks on progress metrics. FUNDING The Bill & Melinda Gates Foundation, the National Institute of Mental Health of the US National Institutes of Health (NIH), and the National Institute on Aging of the NIH.
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Feigin VL, Stark BA, Johnson CO, Roth GA, Bisignano C, Abady GG, Abbasifard M, Abbasi-Kangevari M, Abd-Allah F, Abedi V, Abualhasan A, Abu-Rmeileh NME, Abushouk AI, Adebayo OM, Agarwal G, Agasthi P, Ahinkorah BO, Ahmad S, Ahmadi S, Ahmed Salih Y, Aji B, Akbarpour S, Akinyemi RO, Al Hamad H, Alahdab F, Alif SM, Alipour V, Aljunid SM, Almustanyir S, Al-Raddadi RM, Al-Shahi Salman R, Alvis-Guzman N, Ancuceanu R, Anderlini D, Anderson JA, Ansar A, Antonazzo IC, Arabloo J, Ärnlöv J, Artanti KD, Aryan Z, Asgari S, Ashraf T, Athar M, Atreya A, Ausloos M, Baig AA, Baltatu OC, Banach M, Barboza MA, Barker-Collo SL, Bärnighausen TW, Barone MTU, Basu S, Bazmandegan G, Beghi E, Beheshti M, Béjot Y, Bell AW, Bennett DA, Bensenor IM, Bezabhe WM, Bezabih YM, Bhagavathula AS, Bhardwaj P, Bhattacharyya K, Bijani A, Bikbov B, Birhanu MM, Boloor A, Bonny A, Brauer M, Brenner H, Bryazka D, Butt ZA, Caetano dos Santos FL, Campos-Nonato IR, Cantu-Brito C, Carrero JJ, Castañeda-Orjuela CA, Catapano AL, Chakraborty PA, Charan J, Choudhari SG, Chowdhury EK, Chu DT, Chung SC, Colozza D, Costa VM, Costanzo S, Criqui MH, Dadras O, Dagnew B, Dai X, Dalal K, Damasceno AAM, D'Amico E, Dandona L, Dandona R, Darega Gela J, Davletov K, De la Cruz-Góngora V, Desai R, Dhamnetiya D, Dharmaratne SD, Dhimal ML, Dhimal M, Diaz D, Dichgans M, Dokova K, Doshi R, Douiri A, Duncan BB, Eftekharzadeh S, Ekholuenetale M, El Nahas N, Elgendy IY, Elhadi M, El-Jaafary SI, Endres M, Endries AY, Erku DA, Faraon EJA, Farooque U, Farzadfar F, Feroze AH, Filip I, Fischer F, Flood D, Gad MM, Gaidhane S, Ghanei Gheshlagh R, Ghashghaee A, Ghith N, Ghozali G, Ghozy S, Gialluisi A, Giampaoli S, Gilani SA, Gill PS, Gnedovskaya EV, Golechha M, Goulart AC, Guo Y, Gupta R, Gupta VB, Gupta VK, Gyanwali P, Hafezi-Nejad N, Hamidi S, Hanif A, Hankey GJ, Hargono A, Hashi A, Hassan TS, Hassen HY, Havmoeller RJ, Hay SI, Hayat K, Hegazy MI, Herteliu C, Holla R, Hostiuc S, Househ M, Huang J, Humayun A, Hwang BF, Iacoviello L, Iavicoli I, Ibitoye SE, Ilesanmi OS, Ilic IM, Ilic MD, Iqbal U, Irvani SSN, Islam SMS, Ismail NE, Iso H, Isola G, Iwagami M, Jacob L, Jain V, Jang SI, Jayapal SK, Jayaram S, Jayawardena R, Jeemon P, Jha RP, Johnson WD, Jonas JB, Joseph N, Jozwiak JJ, Jürisson M, Kalani R, Kalhor R, Kalkonde Y, Kamath A, Kamiab Z, Kanchan T, Kandel H, Karch A, Katoto PDMC, Kayode GA, Keshavarz P, Khader YS, Khan EA, Khan IA, Khan M, Khan MAB, Khatib MN, Khubchandani J, Kim GR, Kim MS, Kim YJ, Kisa A, Kisa S, Kivimäki M, Kolte D, Koolivand A, Koulmane Laxminarayana SL, Koyanagi A, Krishan K, Krishnamoorthy V, Krishnamurthi RV, Kumar GA, Kusuma D, La Vecchia C, Lacey B, Lak HM, Lallukka T, Lasrado S, Lavados PM, Leonardi M, Li B, Li S, Lin H, Lin RT, Liu X, Lo WD, Lorkowski S, Lucchetti G, Lutzky Saute R, Magdy Abd El Razek H, Magnani FG, Mahajan PB, Majeed A, Makki A, Malekzadeh R, Malik AA, Manafi N, Mansournia MA, Mantovani LG, Martini S, Mazzaglia G, Mehndiratta MM, Menezes RG, Meretoja A, Mersha AG, Miao Jonasson J, Miazgowski B, Miazgowski T, Michalek IM, Mirrakhimov EM, Mohammad Y, Mohammadian-Hafshejani A, Mohammed S, Mokdad AH, Mokhayeri Y, Molokhia M, Moni MA, Montasir AA, Moradzadeh R, Morawska L, Morze J, Muruet W, Musa KI, Nagarajan AJ, Naghavi M, Narasimha Swamy S, Nascimento BR, Negoi RI, Neupane Kandel S, Nguyen TH, Norrving B, Noubiap JJ, Nwatah VE, Oancea B, Odukoya OO, Olagunju AT, Orru H, Owolabi MO, Padubidri JR, Pana A, Parekh T, Park EC, Pashazadeh Kan F, Pathak M, Peres MFP, Perianayagam A, Pham TM, Piradov MA, Podder V, Polinder S, Postma MJ, Pourshams A, Radfar A, Rafiei A, Raggi A, Rahim F, Rahimi-Movaghar V, Rahman M, Rahman MA, Rahmani AM, Rajai N, Ranasinghe P, Rao CR, Rao SJ, Rathi P, Rawaf DL, Rawaf S, Reitsma MB, Renjith V, Renzaho AMN, Rezapour A, Rodriguez JAB, Roever L, Romoli M, Rynkiewicz A, Sacco S, Sadeghi M, Saeedi Moghaddam S, Sahebkar A, Saif-Ur-Rahman KM, Salah R, Samaei M, Samy AM, Santos IS, Santric-Milicevic MM, Sarrafzadegan N, Sathian B, Sattin D, Schiavolin S, Schlaich MP, Schmidt MI, Schutte AE, Sepanlou SG, Seylani A, Sha F, Shahabi S, Shaikh MA, Shannawaz M, Shawon MSR, Sheikh A, Sheikhbahaei S, Shibuya K, Siabani S, Silva DAS, Singh JA, Singh JK, Skryabin VY, Skryabina AA, Sobaih BH, Stortecky S, Stranges S, Tadesse EG, Tarigan IU, Temsah MH, Teuschl Y, Thrift AG, Tonelli M, Tovani-Palone MR, Tran BX, Tripathi M, Tsegaye GW, Ullah A, Unim B, Unnikrishnan B, Vakilian A, Valadan Tahbaz S, Vasankari TJ, Venketasubramanian N, Vervoort D, Vo B, Volovici V, Vosoughi K, Vu GT, Vu LG, Wafa HA, Waheed Y, Wang Y, Wijeratne T, Winkler AS, Wolfe CDA, Woodward M, Wu JH, Wulf Hanson S, Xu X, Yadav L, Yadollahpour A, Yahyazadeh Jabbari SH, Yamagishi K, Yatsuya H, Yonemoto N, Yu C, Yunusa I, Zaman MS, Zaman SB, Zamanian M, Zand R, Zandifar A, Zastrozhin MS, Zastrozhina A, Zhang Y, Zhang ZJ, Zhong C, Zuniga YMH, Murray CJL. Global, regional, and national burden of stroke and its risk factors, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Neurol 2021; 20:795-820. [PMID: 34487721 PMCID: PMC8443449 DOI: 10.1016/s1474-4422(21)00252-0] [Citation(s) in RCA: 1651] [Impact Index Per Article: 550.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 07/01/2021] [Accepted: 07/19/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Regularly updated data on stroke and its pathological types, including data on their incidence, prevalence, mortality, disability, risk factors, and epidemiological trends, are important for evidence-based stroke care planning and resource allocation. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) aims to provide a standardised and comprehensive measurement of these metrics at global, regional, and national levels. METHODS We applied GBD 2019 analytical tools to calculate stroke incidence, prevalence, mortality, disability-adjusted life-years (DALYs), and the population attributable fraction (PAF) of DALYs (with corresponding 95% uncertainty intervals [UIs]) associated with 19 risk factors, for 204 countries and territories from 1990 to 2019. These estimates were provided for ischaemic stroke, intracerebral haemorrhage, subarachnoid haemorrhage, and all strokes combined, and stratified by sex, age group, and World Bank country income level. FINDINGS In 2019, there were 12·2 million (95% UI 11·0-13·6) incident cases of stroke, 101 million (93·2-111) prevalent cases of stroke, 143 million (133-153) DALYs due to stroke, and 6·55 million (6·00-7·02) deaths from stroke. Globally, stroke remained the second-leading cause of death (11·6% [10·8-12·2] of total deaths) and the third-leading cause of death and disability combined (5·7% [5·1-6·2] of total DALYs) in 2019. From 1990 to 2019, the absolute number of incident strokes increased by 70·0% (67·0-73·0), prevalent strokes increased by 85·0% (83·0-88·0), deaths from stroke increased by 43·0% (31·0-55·0), and DALYs due to stroke increased by 32·0% (22·0-42·0). During the same period, age-standardised rates of stroke incidence decreased by 17·0% (15·0-18·0), mortality decreased by 36·0% (31·0-42·0), prevalence decreased by 6·0% (5·0-7·0), and DALYs decreased by 36·0% (31·0-42·0). However, among people younger than 70 years, prevalence rates increased by 22·0% (21·0-24·0) and incidence rates increased by 15·0% (12·0-18·0). In 2019, the age-standardised stroke-related mortality rate was 3·6 (3·5-3·8) times higher in the World Bank low-income group than in the World Bank high-income group, and the age-standardised stroke-related DALY rate was 3·7 (3·5-3·9) times higher in the low-income group than the high-income group. Ischaemic stroke constituted 62·4% of all incident strokes in 2019 (7·63 million [6·57-8·96]), while intracerebral haemorrhage constituted 27·9% (3·41 million [2·97-3·91]) and subarachnoid haemorrhage constituted 9·7% (1·18 million [1·01-1·39]). In 2019, the five leading risk factors for stroke were high systolic blood pressure (contributing to 79·6 million [67·7-90·8] DALYs or 55·5% [48·2-62·0] of total stroke DALYs), high body-mass index (34·9 million [22·3-48·6] DALYs or 24·3% [15·7-33·2]), high fasting plasma glucose (28·9 million [19·8-41·5] DALYs or 20·2% [13·8-29·1]), ambient particulate matter pollution (28·7 million [23·4-33·4] DALYs or 20·1% [16·6-23·0]), and smoking (25·3 million [22·6-28·2] DALYs or 17·6% [16·4-19·0]). INTERPRETATION The annual number of strokes and deaths due to stroke increased substantially from 1990 to 2019, despite substantial reductions in age-standardised rates, particularly among people older than 70 years. The highest age-standardised stroke-related mortality and DALY rates were in the World Bank low-income group. The fastest-growing risk factor for stroke between 1990 and 2019 was high body-mass index. Without urgent implementation of effective primary prevention strategies, the stroke burden will probably continue to grow across the world, particularly in low-income countries. FUNDING Bill & Melinda Gates Foundation.
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Paulson KR, Kamath AM, Alam T, Bienhoff K, Abady GG, Abbas J, Abbasi-Kangevari M, Abbastabar H, Abd-Allah F, Abd-Elsalam SM, Abdoli A, Abedi A, Abolhassani H, Abreu LG, Abu-Gharbieh E, Abu-Rmeileh NME, Abushouk AI, Adamu AL, Adebayo OM, Adegbosin AE, Adekanmbi V, Adetokunboh OO, Adeyinka DA, Adsuar JC, Afshari K, Aghaali M, Agudelo-Botero M, Ahinkorah BO, Ahmad T, Ahmadi K, Ahmed MB, Aji B, Akalu Y, Akinyemi OO, Aklilu A, Al-Aly Z, Alam K, Alanezi FM, Alanzi TM, Alcalde-Rabanal JE, Al-Eyadhy A, Ali T, Alicandro G, Alif SM, Alipour V, Alizade H, Aljunid SM, Almasi-Hashiani A, Almasri NA, Al-Mekhlafi HM, Alonso J, Al-Raddadi RM, Altirkawi KA, Alumran AK, Alvis-Guzman N, Alvis-Zakzuk NJ, Ameyaw EK, Amini S, Amini-Rarani M, Amit AML, Amugsi DA, Ancuceanu R, Anderlini D, Andrei CL, Ansari F, Ansari-Moghaddam A, Antonio CAT, Antriyandarti E, Anvari D, Anwer R, Aqeel M, Arabloo J, Arab-Zozani M, Aripov T, Ärnlöv J, Artanti KD, Arzani A, Asaad M, Asadi-Aliabadi M, Asadi-Pooya AA, Asghari Jafarabadi M, Athari SS, Athari SM, Atnafu DD, Atreya A, Atteraya MS, Ausloos M, Awan AT, Ayala Quintanilla BP, Ayano G, Ayanore MA, Aynalem YA, Azari S, Azarian G, Azene ZN, B DB, Babaee E, Badiye AD, Baig AA, Banach M, Banik PC, Barker-Collo SL, Barqawi HJ, Bassat Q, Basu S, Baune BT, Bayati M, Bedi N, Beghi E, Beghi M, Bell ML, Bendak S, Bennett DA, Bensenor IM, Berhe K, Berman AE, Bezabih YM, Bhagavathula AS, Bhandari D, Bhardwaj N, Bhardwaj P, Bhattacharyya K, Bhattarai S, Bhutta ZA, Bikbov B, Biondi A, Birihane BM, Biswas RK, Bohlouli S, Bragazzi NL, Breusov AV, Brunoni AR, Burkart K, Burugina Nagaraja S, Busse R, Butt ZA, Caetano dos Santos FL, Cahuana-Hurtado L, Camargos P, Cámera LA, Cárdenas R, Carreras G, Carrero JJ, Carvalho F, Castaldelli-Maia JM, Castañeda-Orjuela CA, Castelpietra G, Cerin E, Chang JC, Chanie WF, Charan J, Chatterjee S, Chattu SK, Chattu VK, Chaturvedi S, Chen S, Cho DY, Choi JYJ, Chu DT, Ciobanu LG, Cirillo M, Conde J, Costa VM, Couto RAS, Dachew BA, Dahlawi SMA, Dai H, Dai X, Dandona L, Dandona R, Daneshpajouhnejad P, Darmstadt GL, Das JK, Dávila-Cervantes CA, Davis AC, Davletov K, De la Hoz FP, De Leo D, Deeba F, Denova-Gutiérrez E, Dervenis N, Desalew A, Deuba K, Dey S, Dharmaratne SD, Dhingra S, Dhungana GP, Dias da Silva D, Diaz D, Dorostkar F, Doshmangir L, Dubljanin E, Duraes AR, Eagan AW, Edinur HA, Efendi F, Eftekharzadeh S, El Sayed I, El Tantawi M, Elbarazi I, Elgendy IY, El-Jaafary SI, Emami A, Enany S, Eyawo O, Ezzikouri S, Faris PS, Farzadfar F, Fattahi N, Fauk NK, Fazlzadeh M, Feigin VL, Ferede TY, Fereshtehnejad SM, Fernandes E, Ferrara P, Filip I, Fischer F, Fisher JL, Foigt NA, Folayan MO, Foroutan M, Franklin RC, Freitas M, Friedman SD, Fukumoto T, Gad MM, Gaidhane AM, Gaidhane S, Gaihre S, Gallus S, Garcia-Basteiro AL, Garcia-Gordillo MA, Gardner WM, Gaspar Fonseca M, Gebremedhin KB, Getacher L, Ghashghaee A, Gholamian A, Gilani SA, Gill TK, Giussani G, Gnedovskaya EV, Godinho MA, Goel A, Golechha M, Gona PN, Gopalani SV, Goudarzi H, Grivna M, Gugnani HC, Guido D, Guimarães RA, Gupta RD, Gupta R, Hafezi-Nejad N, Haider MR, Haj-Mirzaian A, Hamidi S, Hanif A, Hankey GJ, Hargono A, Hasaballah AI, Hasan MM, Hasan SS, Hassan A, Hassanipour S, Hassankhani H, Havmoeller RJ, Hayat K, Heidari-Soureshjani R, Henry NJ, Herteliu C, Hole MK, Holla R, Hossain N, Hosseini M, Hosseinzadeh M, Hostiuc M, Hostiuc S, Househ M, Huang J, Humayun A, Hwang BF, Iavicoli I, Ibitoye SE, Ikuta KS, Ilesanmi OS, Ilic IM, Ilic MD, Inamdar S, Inbaraj LR, Iqbal K, Iqbal U, Islam MM, Islam SMS, Iso H, Iwagami M, Iwu CCD, Jaafari J, Jacobsen KH, Jagnoor J, Jain V, Janodia MD, Javaheri T, Javanmardi F, Jayaram S, Jayatilleke AU, Jenabi E, Jha RP, Ji JS, John O, Jonas JB, Joo T, Joseph N, Joukar F, Jozwiak JJ, Jürisson M, Kabir A, Kabir Z, Kalankesh LR, Kamyari N, Kanchan T, Kapoor N, Karami Matin B, Karch A, Karimi SE, Kassahun G, Kayode GA, Kazemi Karyani A, Kemmer L, Khalid N, Khalilov R, Khammarnia M, Khan EA, Khan G, Khan M, Khan MN, Khang YH, Khatab K, Khater AM, Khater MM, Khayamzadeh M, Khosravi A, Kim D, Kim YE, Kim YJ, Kimokoti RW, Kisa A, Kisa S, Kissoon N, Kopec JA, Kosen S, Koul PA, Koulmane Laxminarayana SL, Koyanagi A, Krishan K, Krishnamoorthy V, Kuate Defo B, Kucuk Bicer B, Kulkarni V, Kumar GA, Kumar M, Kumar N, Kurmi OP, Kusuma D, La Vecchia C, Lacey B, Lalloo R, Lami FH, Landires I, Larsson AO, Lasrado S, Lassi ZS, Lauriola P, Lee PH, Lee SWH, Lee YH, Leigh J, Leonardi M, Lewycka S, Li B, Li S, Liang J, Lim LL, Limenih MA, Lin RT, Liu X, Lodha R, Lopez AD, Lozano R, Lugo A, Lunevicius R, Mackay MT, Madhava Kunjathur S, Magnani FG, Mahadeshwara Prasad DR, Maheri M, Mahmoudi M, Majeed A, Maled V, Maleki A, Maleki S, Malekzadeh R, Malik AA, Malta DC, Mamun AA, Mansouri B, Mansournia MA, Martinez G, Martini S, Martins-Melo FR, Masoumi SZ, Maulik PK, McAlinden C, McGrath JJ, Medina-Solís CE, Mehrabi Nasab E, Mejia-Rodriguez F, Memish ZA, Mendoza W, Menezes RG, Mengesha EW, Mensah GA, Meretoja A, Meretoja TJ, Mersha AM, Mestrovic T, Miazgowski B, Miazgowski T, Michalek IM, Miller TR, Mini GK, Miri M, Mirica A, Mirrakhimov EM, Mirzaei H, Mirzaei M, Moazen B, Moghadaszadeh M, Mohajer B, Mohamad O, Mohammad Y, Mohammadi SM, Mohammadian-Hafshejani A, Mohammed S, Mokdad AH, Molokhia M, Monasta L, Mondello S, Moni MA, Moore CE, Moradi G, Moradi M, Moradzadeh R, Moraga P, Morawska L, Morrison SD, Mosser JF, Mousavi Khaneghah A, Mustafa G, Naderi M, Nagarajan AJ, Nagaraju SP, Naghavi M, Naghshtabrizi B, Naimzada MD, Nangia V, Narasimha Swamy S, Nascimento BR, Naveed M, Nazari J, Ndejjo R, Negoi I, Negoi RI, Nena E, Nepal S, Netsere HB, Nguefack-Tsague G, Ngunjiri JW, Nguyen CTY, Nguyen CT, Nguyen HLT, Nigatu YT, Nigussie SN, Nixon MR, Nnaji CA, Nomura S, Noor NM, Noubiap JJ, Nuñez-Samudio V, Nwatah VE, Oancea B, Odukoya OO, Ogbo FA, Olusanya BO, Olusanya JO, Omar Bali A, Onwujekwe OE, Ortiz A, Otoiu A, Otstavnov N, Otstavnov SS, Owolabi MO, P A M, Padubidri JR, Pakhale S, Pakshir K, Pal PK, Palladino R, Pana A, Panda-Jonas S, Pandey A, Pandey A, Pandi-Perumal SR, Pangaribuan HU, Pardo-Montaño AM, Park EK, Patel SK, Patton GC, Pawar S, Pazoki Toroudi H, Peden AE, Pepito VCF, Peprah EK, Pereira J, Pérez-Gómez J, Perico N, Pesudovs K, Pilgrim T, Pinheiro M, Piradov MA, Pirsaheb M, Platts-Mills JA, Pokhrel KN, Postma MJ, Pourjafar H, Prada SI, Prakash S, Pupillo E, Quazi Syed Z, Rabiee N, Radfar A, Rafiee A, Rafiei A, Raggi A, Rahimzadeh S, Rahman MHU, Rahmani AM, Ramezanzadeh K, Rana J, Ranabhat CL, Rao SJ, Rasella D, Rastogi P, Rathi P, Rawaf DL, Rawaf S, Rawasia WF, Rawassizadeh R, Reiner Jr RC, Remuzzi G, Renzaho AMN, Reshmi B, Resnikoff S, Rezaei N, Rezaei N, Rezapour A, Riahi SM, Ribeiro D, Rickard J, Roever L, Ronfani L, Rothenbacher D, Rubagotti E, Rumisha SF, Ryan PM, Saddik B, Sadeghi E, Saeedi Moghaddam S, Sagar R, Sahebkar A, Salahshoor MR, Salehi S, Salem MR, Salimzadeh H, Salomon JA, Samodra YL, Samy AM, Sanabria J, Santric-Milicevic MM, Saraswathy SYI, Sarker AR, Sarrafzadegan N, Sarveazad A, Sathian B, Sathish T, Sattin D, Saxena S, Saya GK, Saylan M, Schiavolin S, Schlaich MP, Schwebel DC, Schwendicke F, Senthilkumaran S, Sepanlou SG, Serván-Mori E, Sha F, Shafaat O, Shahabi S, Shahbaz M, Shaheen AA, Shahid I, Shaikh MA, Shakiba S, Shalash AS, Shams-Beyranvand M, Shannawaz M, Sharafi K, Sheikh A, Sheikhbahaei S, Shiferaw WS, Shigematsu M, Shin JI, Shiri R, Shiue I, Shuval K, Siddiqi TJ, Sidemo NB, Sigfusdottir ID, Sigurvinsdottir R, Silva JP, Silverberg JIS, Simonetti B, Singh BB, Singh JA, Singhal D, Sinha DN, Skiadaresi E, Skryabin VY, Skryabina AA, Sleet DA, Sobaih BH, Sobhiyeh MR, Soltani S, Soriano JB, Spurlock EE, Sreeramareddy CT, Steiropoulos P, Stokes MA, Stortecky S, Sufiyan MB, Suliankatchi Abdulkader R, Sulo G, Swope CB, Sykes BL, Szeto MD, Szócska M, Tabarés-Seisdedos R, Tadesse EG, Taherkhani A, Tamiru AT, Tareque MI, Tehrani-Banihashemi A, Temsah MH, Tesfay FH, Tessema GA, Tessema ZT, Thankappan KR, Thapar R, Tolani MA, Tovani-Palone MR, Traini E, Tran BX, Tripathy JP, Tsapparellas G, Tsatsakis A, Tudor Car L, Uddin R, Ullah A, Umeokonkwo CD, Unim B, Unnikrishnan B, Upadhyay E, Usman MS, Vacante M, Vaezi M, Valadan Tahbaz S, Valdez PR, Vasankari TJ, Venketasubramanian N, Verma M, Violante FS, Vlassov V, Vo B, Vu GT, Wado YD, Waheed Y, Wamai RG, Wang Y, Wang Y, Wang YP, Ward P, Werdecker A, Westerman R, Wickramasinghe ND, Wilner LB, Wiysonge CS, Wu AM, Wu C, Xie Y, Yahyazadeh Jabbari SH, Yamagishi K, Yandrapalli S, Yaya S, Yazdi-Feyzabadi V, Yip P, Yonemoto N, Yoon SJ, Younis MZ, Yousefi Z, Yousefinezhadi T, Yu C, Yusuf SS, Zaidi SS, Zaman SB, Zamani M, Zamanian M, Zastrozhin MS, Zastrozhina A, Zhang Y, Zhang ZJ, Zhao XJG, Ziapour A, Hay SI, Murray CJL, Wang H, Kassebaum NJ. Global, regional, and national progress towards Sustainable Development Goal 3.2 for neonatal and child health: all-cause and cause-specific mortality findings from the Global Burden of Disease Study 2019. Lancet 2021; 398:870-905. [PMID: 34416195 PMCID: PMC8429803 DOI: 10.1016/s0140-6736(21)01207-1] [Citation(s) in RCA: 165] [Impact Index Per Article: 55.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 05/25/2021] [Accepted: 05/25/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Sustainable Development Goal 3.2 has targeted elimination of preventable child mortality, reduction of neonatal death to less than 12 per 1000 livebirths, and reduction of death of children younger than 5 years to less than 25 per 1000 livebirths, for each country by 2030. To understand current rates, recent trends, and potential trajectories of child mortality for the next decade, we present the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 findings for all-cause mortality and cause-specific mortality in children younger than 5 years of age, with multiple scenarios for child mortality in 2030 that include the consideration of potential effects of COVID-19, and a novel framework for quantifying optimal child survival. METHODS We completed all-cause mortality and cause-specific mortality analyses from 204 countries and territories for detailed age groups separately, with aggregated mortality probabilities per 1000 livebirths computed for neonatal mortality rate (NMR) and under-5 mortality rate (U5MR). Scenarios for 2030 represent different potential trajectories, notably including potential effects of the COVID-19 pandemic and the potential impact of improvements preferentially targeting neonatal survival. Optimal child survival metrics were developed by age, sex, and cause of death across all GBD location-years. The first metric is a global optimum and is based on the lowest observed mortality, and the second is a survival potential frontier that is based on stochastic frontier analysis of observed mortality and Healthcare Access and Quality Index. FINDINGS Global U5MR decreased from 71·2 deaths per 1000 livebirths (95% uncertainty interval [UI] 68·3-74·0) in 2000 to 37·1 (33·2-41·7) in 2019 while global NMR correspondingly declined more slowly from 28·0 deaths per 1000 live births (26·8-29·5) in 2000 to 17·9 (16·3-19·8) in 2019. In 2019, 136 (67%) of 204 countries had a U5MR at or below the SDG 3.2 threshold and 133 (65%) had an NMR at or below the SDG 3.2 threshold, and the reference scenario suggests that by 2030, 154 (75%) of all countries could meet the U5MR targets, and 139 (68%) could meet the NMR targets. Deaths of children younger than 5 years totalled 9·65 million (95% UI 9·05-10·30) in 2000 and 5·05 million (4·27-6·02) in 2019, with the neonatal fraction of these deaths increasing from 39% (3·76 million [95% UI 3·53-4·02]) in 2000 to 48% (2·42 million; 2·06-2·86) in 2019. NMR and U5MR were generally higher in males than in females, although there was no statistically significant difference at the global level. Neonatal disorders remained the leading cause of death in children younger than 5 years in 2019, followed by lower respiratory infections, diarrhoeal diseases, congenital birth defects, and malaria. The global optimum analysis suggests NMR could be reduced to as low as 0·80 (95% UI 0·71-0·86) deaths per 1000 livebirths and U5MR to 1·44 (95% UI 1·27-1·58) deaths per 1000 livebirths, and in 2019, there were as many as 1·87 million (95% UI 1·35-2·58; 37% [95% UI 32-43]) of 5·05 million more deaths of children younger than 5 years than the survival potential frontier. INTERPRETATION Global child mortality declined by almost half between 2000 and 2019, but progress remains slower in neonates and 65 (32%) of 204 countries, mostly in sub-Saharan Africa and south Asia, are not on track to meet either SDG 3.2 target by 2030. Focused improvements in perinatal and newborn care, continued and expanded delivery of essential interventions such as vaccination and infection prevention, an enhanced focus on equity, continued focus on poverty reduction and education, and investment in strengthening health systems across the development spectrum have the potential to substantially improve U5MR. Given the widespread effects of COVID-19, considerable effort will be required to maintain and accelerate progress. FUNDING Bill & Melinda Gates Foundation.
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Galles NC, Liu PY, Updike RL, Fullman N, Nguyen J, Rolfe S, Sbarra AN, Schipp MF, Marks A, Abady GG, Abbas KM, Abbasi SW, Abbastabar H, Abd-Allah F, Abdoli A, Abolhassani H, Abosetugn AE, Adabi M, Adamu AA, Adetokunboh OO, Adnani QES, Advani SM, Afzal S, Aghamir SMK, Ahinkorah BO, Ahmad S, Ahmad T, Ahmadi S, Ahmed H, Ahmed MB, Ahmed Rashid T, Ahmed Salih Y, Akalu Y, Aklilu A, Akunna CJ, Al Hamad H, Alahdab F, Albano L, Alemayehu Y, Alene KA, Al-Eyadhy A, Alhassan RK, Ali L, Aljunid SM, Almustanyir S, Altirkawi KA, Alvis-Guzman N, Amu H, Andrei CL, Andrei T, Ansar A, Ansari-Moghaddam A, Antonazzo IC, Antony B, Arabloo J, Arab-Zozani M, Artanti KD, Arulappan J, Awan AT, Awoke MA, Ayza MA, Azarian G, Azzam AY, B DB, Babar ZUD, Balakrishnan S, Banach M, Bante SA, Bärnighausen TW, Barqawi HJ, Barrow A, Bassat Q, Bayarmagnai N, Bejarano Ramirez DF, Bekuma TT, Belay HG, Belgaumi UI, Bhagavathula AS, Bhandari D, Bhardwaj N, Bhardwaj P, Bhaskar S, Bhattacharyya K, Bibi S, Bijani A, Biondi A, Boloor A, Braithwaite D, Buonsenso D, Butt ZA, Camargos P, Carreras G, Carvalho F, Castañeda-Orjuela CA, Chakinala RC, Charan J, Chatterjee S, Chattu SK, Chattu VK, Chowdhury FR, Christopher DJ, Chu DT, Chung SC, Cortesi PA, Costa VM, Couto RAS, Dadras O, Dagnew AB, Dagnew B, Dai X, Dandona L, Dandona R, De Neve JW, Derbew Molla M, Derseh BT, Desai R, Desta AA, Dhamnetiya D, Dhimal ML, Dhimal M, Dianatinasab M, Diaz D, Djalalinia S, Dorostkar F, Edem B, Edinur HA, Eftekharzadeh S, El Sayed I, El Sayed Zaki M, Elhadi M, El-Jaafary SI, Elsharkawy A, Enany S, Erkhembayar R, Esezobor CI, Eskandarieh S, Ezeonwumelu IJ, Ezzikouri S, Fares J, Faris PS, Feleke BE, Ferede TY, Fernandes E, Fernandes JC, Ferrara P, Filip I, Fischer F, Francis MR, Fukumoto T, Gad MM, Gaidhane S, Gallus S, Garg T, Geberemariyam BS, Gebre T, Gebregiorgis BG, Gebremedhin KB, Gebremichael B, Gessner BD, Ghadiri K, Ghafourifard M, Ghashghaee A, Gilani SA, Glăvan IR, Glushkova EV, Golechha M, Gonfa KB, Gopalani SV, Goudarzi H, Gubari MIM, Guo Y, Gupta VB, Gupta VK, Gutiérrez RA, Haeuser E, Halwani R, Hamidi S, Hanif A, Haque S, Harapan H, Hargono A, Hashi A, Hassan S, Hassanein MH, Hassanipour S, Hassankhani H, Hay SI, Hayat K, Hegazy MI, Heidari G, Hezam K, Holla R, Hoque ME, Hosseini M, Hosseinzadeh M, Hostiuc M, Househ M, Hsieh VCR, Huang J, Humayun A, Hussain R, Hussein NR, Ibitoye SE, Ilesanmi OS, Ilic IM, Ilic MD, Inamdar S, Iqbal U, Irham LM, Irvani SSN, Islam SMS, Ismail NE, Itumalla R, Jha RP, Joukar F, Kabir A, Kabir Z, Kalhor R, Kamal Z, Kamande SM, Kandel H, Karch A, Kassahun G, Kassebaum NJ, Katoto PDMC, Kelkay B, Kengne AP, Khader YS, Khajuria H, Khalil IA, Khan EA, Khan G, Khan J, Khan M, Khan MAB, Khang YH, Khoja AT, Khubchandani J, Kim GR, Kim MS, Kim YJ, Kimokoti RW, Kisa A, Kisa S, Korshunov VA, Kosen S, Kuate Defo B, Kulkarni V, Kumar A, Kumar GA, Kumar N, Kwarteng A, La Vecchia C, Lami FH, Landires I, Lasrado S, Lassi ZS, Lee H, Lee YY, Levi M, Lewycka S, Li S, Liu X, Lobo SW, Lopukhov PD, Lozano R, Lutzky Saute R, Magdy Abd El Razek M, Makki A, Malik AA, Mansour-Ghanaei F, Mansournia MA, Mantovani LG, Martins-Melo FR, Matthews PC, Medina JRC, Mendoza W, Menezes RG, Mengesha EW, Meretoja TJ, Mersha AG, Mesregah MK, Mestrovic T, Miazgowski B, Milne GJ, Mirica A, Mirrakhimov EM, Mirzaei HR, Misra S, Mithra P, Moghadaszadeh M, Mohamed TA, Mohammad KA, Mohammad Y, Mohammadi M, Mohammadian-Hafshejani A, Mohammed A, Mohammed S, Mohapatra A, Mokdad AH, Molokhia M, Monasta L, Moni MA, Montasir AA, Moore CE, Moradi G, Moradzadeh R, Moraga P, Mueller UO, Munro SB, Naghavi M, Naimzada MD, Naveed M, Nayak BP, Negoi I, Neupane Kandel S, Nguyen TH, Nikbakhsh R, Ningrum DNA, Nixon MR, Nnaji CA, Noubiap JJ, Nuñez-Samudio V, Nwatah VE, Oancea B, Ochir C, Ogbo FA, Olagunju AT, Olakunde BO, Onwujekwe OE, Otstavnov N, Otstavnov SS, Owolabi MO, Padubidri JR, Pakshir K, Park EC, Pashazadeh Kan F, Pathak M, Paudel R, Pawar S, Pereira J, Peres MFP, Perianayagam A, Pinheiro M, Pirestani M, Podder V, Polibin RV, Pollok RCG, Postma MJ, Pottoo FH, Rabiee M, Rabiee N, Radfar A, Rafiei A, Rahimi-Movaghar V, Rahman M, Rahmani AM, Rahmawaty S, Rajesh A, Ramshaw RE, Ranasinghe P, Rao CR, Rao SJ, Rathi P, Rawaf DL, Rawaf S, Renzaho AMN, Rezaei N, Rezai MS, Rios-Blancas M, Rogowski ELB, Ronfani L, Rwegerera GM, Saad AM, Sabour S, Saddik B, Saeb MR, Saeed U, Sahebkar A, Sahraian MA, Salam N, Salimzadeh H, Samaei M, Samy AM, Sanabria J, Sanmarchi F, Santric-Milicevic MM, Sartorius B, Sarveazad A, Sathian B, Sawhney M, Saxena D, Saxena S, Seidu AA, Seylani A, Shaikh MA, Shamsizadeh M, Shetty PH, Shigematsu M, Shin JI, Sidemo NB, Singh A, Singh JA, Sinha S, Skryabin VY, Skryabina AA, Soheili A, Tadesse EG, Tamiru AT, Tan KK, Tekalegn Y, Temsah MH, Thakur B, Thapar R, Thavamani A, Tobe-Gai R, Tohidinik HR, Tovani-Palone MR, Traini E, Tran BX, Tripathi M, Tsegaye B, Tsegaye GW, Ullah A, Ullah S, Ullah S, Unim B, Vacante M, Velazquez DZ, Vo B, Vollmer S, Vu GT, Vu LG, Waheed Y, Winkler AS, Wiysonge CS, Yiğit V, Yirdaw BW, Yon DK, Yonemoto N, Yu C, Yuce D, Yunusa I, Zamani M, Zamanian M, Zewdie DT, Zhang ZJ, Zhong C, Zumla A, Murray CJL, Lim SS, Mosser JF. Measuring routine childhood vaccination coverage in 204 countries and territories, 1980-2019: a systematic analysis for the Global Burden of Disease Study 2020, Release 1. Lancet 2021; 398:503-521. [PMID: 34273291 PMCID: PMC8358924 DOI: 10.1016/s0140-6736(21)00984-3] [Citation(s) in RCA: 73] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 04/16/2021] [Accepted: 04/22/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Measuring routine childhood vaccination is crucial to inform global vaccine policies and programme implementation, and to track progress towards targets set by the Global Vaccine Action Plan (GVAP) and Immunization Agenda 2030. Robust estimates of routine vaccine coverage are needed to identify past successes and persistent vulnerabilities. Drawing from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2020, Release 1, we did a systematic analysis of global, regional, and national vaccine coverage trends using a statistical framework, by vaccine and over time. METHODS For this analysis we collated 55 326 country-specific, cohort-specific, year-specific, vaccine-specific, and dose-specific observations of routine childhood vaccination coverage between 1980 and 2019. Using spatiotemporal Gaussian process regression, we produced location-specific and year-specific estimates of 11 routine childhood vaccine coverage indicators for 204 countries and territories from 1980 to 2019, adjusting for biases in country-reported data and reflecting reported stockouts and supply disruptions. We analysed global and regional trends in coverage and numbers of zero-dose children (defined as those who never received a diphtheria-tetanus-pertussis [DTP] vaccine dose), progress towards GVAP targets, and the relationship between vaccine coverage and sociodemographic development. FINDINGS By 2019, global coverage of third-dose DTP (DTP3; 81·6% [95% uncertainty interval 80·4-82·7]) more than doubled from levels estimated in 1980 (39·9% [37·5-42·1]), as did global coverage of the first-dose measles-containing vaccine (MCV1; from 38·5% [35·4-41·3] in 1980 to 83·6% [82·3-84·8] in 2019). Third-dose polio vaccine (Pol3) coverage also increased, from 42·6% (41·4-44·1) in 1980 to 79·8% (78·4-81·1) in 2019, and global coverage of newer vaccines increased rapidly between 2000 and 2019. The global number of zero-dose children fell by nearly 75% between 1980 and 2019, from 56·8 million (52·6-60·9) to 14·5 million (13·4-15·9). However, over the past decade, global vaccine coverage broadly plateaued; 94 countries and territories recorded decreasing DTP3 coverage since 2010. Only 11 countries and territories were estimated to have reached the national GVAP target of at least 90% coverage for all assessed vaccines in 2019. INTERPRETATION After achieving large gains in childhood vaccine coverage worldwide, in much of the world this progress was stalled or reversed from 2010 to 2019. These findings underscore the importance of revisiting routine immunisation strategies and programmatic approaches, recentring service delivery around equity and underserved populations. Strengthening vaccine data and monitoring systems is crucial to these pursuits, now and through to 2030, to ensure that all children have access to, and can benefit from, lifesaving vaccines. FUNDING Bill & Melinda Gates Foundation.
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Bhattacharjee NV, Schaeffer LE, Hay SI. Mapping inequalities in exclusive breastfeeding in low- and middle-income countries, 2000-2018. Nat Hum Behav 2021; 5:1027-1045. [PMID: 34083753 PMCID: PMC8373614 DOI: 10.1038/s41562-021-01108-6] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Accepted: 03/31/2021] [Indexed: 02/07/2023]
Abstract
Exclusive breastfeeding (EBF)-giving infants only breast-milk for the first 6 months of life-is a component of optimal breastfeeding practices effective in preventing child morbidity and mortality. EBF practices are known to vary by population and comparable subnational estimates of prevalence and progress across low- and middle-income countries (LMICs) are required for planning policy and interventions. Here we present a geospatial analysis of EBF prevalence estimates from 2000 to 2018 across 94 LMICs mapped to policy-relevant administrative units (for example, districts), quantify subnational inequalities and their changes over time, and estimate probabilities of meeting the World Health Organization's Global Nutrition Target (WHO GNT) of ≥70% EBF prevalence by 2030. While six LMICs are projected to meet the WHO GNT of ≥70% EBF prevalence at a national scale, only three are predicted to meet the target in all their district-level units by 2030.
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Affiliation(s)
| | - Lauren E Schaeffer
- Medical Teams International, Seattle, WA, USA
- Department of Pediatric Newborn Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Simon I Hay
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
- Department of Nursing, Adigrat University, Adigrat, Ethiopia.
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Kendrick PJ, Reitsma MB, Abbasi-Kangevari M, Abdoli A, Abdollahi M, Abedi A, Abhilash ES, Aboyans V, Adebayo OM, Advani SM, Ahinkorah BO, Ahmad S, Ahmadi K, Ahmed H, Aji B, Akalu Y, Akunna CJ, Alahdab F, Al-Aly Z, Alanezi FM, Alanzi TM, Alhabib KF, Ali T, Alif SM, Alipour V, Aljunid SM, Alomari MA, Amin TT, Amini S, Amu H, Ancuceanu R, Anderson JA, Andrei CL, Andrei T, Ansari-Moghaddam A, Antony B, Anvari D, Arabloo J, Arian ND, Arora M, Artanti KD, Asmare WN, Atnafu DD, Ausloos M, Awan AT, Ayano G, Aynalem GL, Azari S, B DB, Badiye AD, Baig AA, Banach M, Banerjee SK, Barker-Collo SL, Bärnighausen TW, Barqawi HJ, Basu S, Bayati M, Bazargan-Hejazi S, Bekuma TT, Bennett DA, Bensenor IM, Benzian H, Benziger CP, Berman AE, Bhagavathula AS, Bhala N, Bhardwaj N, Bhardwaj P, Bhattacharyya K, Bibi S, Bijani A, Biondi A, Braithwaite D, Brenner H, Brunoni AR, Burkart K, Burugina Nagaraja S, Butt ZA, Caetano dos Santos FL, Car J, Carreras G, Castaldelli-Maia JM, Cattaruzza MSS, Chang JC, Chaturvedi P, Chen S, Chido-Amajuoyi OG, Chu DT, Chung SC, Ciobanu LG, Costa VM, Couto RAS, Dagnew B, Dai X, Damasceno AAM, Damiani G, Dandona L, Dandona R, Daneshpajouhnejad P, Darega Gela J, Derbew Molla M, Desta AA, Dharmaratne SD, Dhimal M, Eagan AW, Ebrahimi Kalan M, Edvardsson K, Effiong A, El Tantawi M, Elbarazi I, Esmaeilnejad S, Fadhil I, Faraon EJA, Farwati M, Farzadfar F, Fazlzadeh M, Feigin VL, Feldman R, Filip I, Filippidis F, Fischer F, Flor LS, Foigt NA, Folayan MO, Foroutan M, Gad MM, Gallus S, Geberemariyam BS, Gebregiorgis BG, Getacher L, Getachew Obsa A, Ghafourifard M, Ghanei Gheshlagh R, Ghashghaee A, Ghith N, Gil GF, Gill PS, Ginawi IA, Goharinezhad S, Golechha M, Gopalani SV, Gorini G, Grivna M, Guha A, Guimarães RA, Guo Y, Gupta RD, Gupta R, Gupta T, Gupta V, Hafezi-Nejad N, Haider MR, Hamadeh RR, Hankey GJ, Hargono A, Hay SI, Heidari G, Herteliu C, Hezam K, Hird TR, Holla R, Hosseinzadeh M, Hostiuc M, Hostiuc S, Househ M, Hsiao T, Huang J, Ibeneme CU, Ibitoye SE, Ilic IM, Ilic MD, Inbaraj LR, Irvani SSN, Islam JY, Islam RM, Islam SMS, Islami F, Iso H, Itumalla R, Jaafari J, Jain V, Jakovljevic M, Jang SI, Jayaram S, Jeemon P, Jha RP, Jonas JB, Jürisson M, Kabir A, Kabir Z, Kalankesh LR, Kanchan T, Kandel H, Kapoor N, Karch A, Karimi SE, Kebede KM, Kelkay B, Kennedy RD, Khader YS, Khan EA, Khayamzadeh M, Kim GR, Kimokoti RW, Kivimäki M, Kosen S, Koulmane Laxminarayana SL, Koyanagi A, Krishan K, Kugbey N, Kumar GA, Kumar N, Kurmi OP, Kusuma D, Lacey B, Landires I, Lasrado S, Lauriola P, Lee DW, Lee YH, Leung J, Li S, Lin H, Liu W, Lugo A, Madhava Kunjathur S, Majeed A, Maleki A, Malekzadeh R, Malta DC, Mamun AA, Manjunatha N, Mansouri B, Mansournia MA, Martini S, Mathur MR, Mathur P, Mazidi M, McKee M, Medina-Solís CE, Mehata S, Mendoza W, Menezes RG, Miazgowski B, Michalek IM, Miller TR, Mini GK, Mirica A, Mirrakhimov EM, Mirzaei H, Misra S, Mohammad Y, Mohammadian-Hafshejani A, Mohammed S, Mokdad AH, Molokhia M, Monasta L, Moni MA, Moradzadeh R, Morrison SD, Mossie TB, Mubarik S, Mullany EC, Murray CJL, Nagaraju SP, Naghavi M, Naik N, Nalini M, Nangia V, Naqvi AA, Narasimha Swamy S, Naveed M, Nazari J, Nduaguba SO, Negoi RI, Neupane Kandel S, Nguyen HLT, Nigatu YT, Nixon MR, Nnaji CA, Noubiap JJ, Nowak C, Nuñez-Samudio V, Ogbo FA, Oguntade AS, Oh IH, Olagunju AT, Owolabi MO, P A M, Pakshir K, Pana A, Panagiotakos D, Panda-Jonas S, Pandey A, Parekh U, Park EC, Park EK, Pashazadeh Kan F, Pathak M, Pawar S, Pestell RG, Pham HQ, Pinheiro M, Pokhrel KN, Pourshams A, Prashant A, Radfar A, Rahimi-Movaghar V, Rahman MHU, Rahman MA, Rahmani AM, Ram P, Rana J, Ranabhat CL, Rathi P, Rawaf DL, Rawaf S, Rawassizadeh R, Renzaho AMN, Rezapour A, Riaz MA, Roever L, Ronfani L, Roshandel G, Roy A, Roy B, Saddik B, Sahebkar A, Salehi S, Salimzadeh H, Samy AM, Sanabria J, Santric-Milicevic MM, Sao Jose BP, Sathian B, Sawhney M, Saya GK, Schwendicke F, Seidu AA, Senthil Kumar N, Sepanlou SG, Shafaat O, Shah SM, Shaikh MA, Shannawaz M, Sharafi K, Sheikh A, Sheikhbahaei S, Shigematsu M, Shiri R, Shishani K, Shivakumar KM, Shivalli S, Shrestha R, Siabani S, Sidemo NB, Sigfusdottir ID, Sigurvinsdottir R, Silva JP, Singh A, Singh JA, Singh V, Sinha DN, Skryabin VY, Skryabina AA, Soroush A, Soyiri IN, Sreeramareddy CT, Stein DJ, Steiropoulos P, Stortecky S, Straif K, Suliankatchi Abdulkader R, Sulo G, Sundström J, Tabuchi T, Tadesse EG, Tamiru AT, Tareke M, Tareque MI, Tarigan IU, Thakur B, Thankappan KR, Thapar R, Tolani MA, Tovani-Palone MR, Tran BX, Tripathy JP, Tsegaye GW, Tymeson HD, Ullah S, Unim B, Updike RL, Uthman OA, Vacante M, Vardavas C, Venketasubramanian N, Verma M, Vidale S, Vo B, Vu GT, Waheed Y, Wang Y, Welding K, Werdecker A, Whisnant JL, Wickramasinghe ND, Wubishet BL, Yamagishi K, Yano Y, Yazdi-Feyzabadi V, Yeshaw Y, Yimmer MZ, Yonemoto N, Yousefi Z, Yu C, Yunusa I, Yusefzadeh H, Zaman MS, Zamani M, Zamanian M, Zastrozhin MS, Zastrozhina A, Zhang J, Zhang ZJ, Zhong C, Zuniga YMH, Gakidou E. Spatial, temporal, and demographic patterns in prevalence of chewing tobacco use in 204 countries and territories, 1990-2019: a systematic analysis from the Global Burden of Disease Study 2019. Lancet Public Health 2021; 6:e482-e499. [PMID: 34051920 PMCID: PMC8251505 DOI: 10.1016/s2468-2667(21)00065-7] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Revised: 03/12/2021] [Accepted: 03/16/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Chewing tobacco and other types of smokeless tobacco use have had less attention from the global health community than smoked tobacco use. However, the practice is popular in many parts of the world and has been linked to several adverse health outcomes. Understanding trends in prevalence with age, over time, and by location and sex is important for policy setting and in relation to monitoring and assessing commitment to the WHO Framework Convention on Tobacco Control. METHODS We estimated prevalence of chewing tobacco use as part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2019 using a modelling strategy that used information on multiple types of smokeless tobacco products. We generated a time series of prevalence of chewing tobacco use among individuals aged 15 years and older from 1990 to 2019 in 204 countries and territories, including age-sex specific estimates. We also compared these trends to those of smoked tobacco over the same time period. FINDINGS In 2019, 273·9 million (95% uncertainty interval 258·5 to 290·9) people aged 15 years and older used chewing tobacco, and the global age-standardised prevalence of chewing tobacco use was 4·72% (4·46 to 5·01). 228·2 million (213·6 to 244·7; 83·29% [82·15 to 84·42]) chewing tobacco users lived in the south Asia region. Prevalence among young people aged 15-19 years was over 10% in seven locations in 2019. Although global age-standardised prevalence of smoking tobacco use decreased significantly between 1990 and 2019 (annualised rate of change: -1·21% [-1·26 to -1·16]), similar progress was not observed for chewing tobacco (0·46% [0·13 to 0·79]). Among the 12 highest prevalence countries (Bangladesh, Bhutan, Cambodia, India, Madagascar, Marshall Islands, Myanmar, Nepal, Pakistan, Palau, Sri Lanka, and Yemen), only Yemen had a significant decrease in the prevalence of chewing tobacco use, which was among males between 1990 and 2019 (-0·94% [-1·72 to -0·14]), compared with nine of 12 countries that had significant decreases in the prevalence of smoking tobacco. Among females, none of these 12 countries had significant decreases in prevalence of chewing tobacco use, whereas seven of 12 countries had a significant decrease in the prevalence of tobacco smoking use for the period. INTERPRETATION Chewing tobacco remains a substantial public health problem in several regions of the world, and predominantly in south Asia. We found little change in the prevalence of chewing tobacco use between 1990 and 2019, and that control efforts have had much larger effects on the prevalence of smoking tobacco use than on chewing tobacco use in some countries. Mitigating the health effects of chewing tobacco requires stronger regulations and policies that specifically target use of chewing tobacco, especially in countries with high prevalence. FUNDING Bloomberg Philanthropies and the Bill & Melinda Gates Foundation.
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Safiri S, Sullman MJM, Lajunen T, Hill T, Almasi-Hashiani A, Moradi-Lakeh M, Farzadfar F, Sepanlou SG, Abu-Gharbieh E, Aghamolaei T, Ahmad T, Alghnam SA, Al-Hajj S, Alipour V, Aljunid SM, Anjomshoa M, Ansari-Moghaddam A, Arabloo J, Bayati M, Bedi N, Bendak S, Bhutta ZA, Bijani A, Dahlawi SMA, Dianatinasab M, Dibaji Forooshani ZS, Elhabashy HR, Emami Zeydi A, Eskandarieh S, Ghafourifard M, Ghashghaee A, Grivna M, Gubari MIM, Hamadeh RR, Hamidi S, Hayat K, Homaie Rad E, Hosseinzadeh M, Househ M, Naghibi Irvani SS, Jahani MA, Kalankesh LR, Kalhor R, Kamel I, Khammarnia M, Khan M, Khazaie H, Komaki H, Lahimchi A, Madadin M, Maleki S, Manafi N, Mansour-Ghanaei F, Mansournia MA, Menezes RG, Mohammad Y, Mohammadian-Hafshejani A, Mohebi F, Moradi G, Moradzadeh R, Mousavi SM, Naderi M, Nikbakhsh R, Pakshir K, Pourshams A, Rabiee N, Rafiei A, Rawassizadeh R, Rezapour A, Saddik B, Saeedi Moghaddam S, Salamati P, Salem MR, Salem H, Samy AM, Sathian B, Shahabi S, Shaikh MA, Shams-Beyranvand M, Shamsizadeh M, Sobhiyeh MR, Soheili A, Tehrani-Banihashemi A, Waheed Y, Yusefzadeh H, Zahirian Moghadam T, Zaki L, Zamani M, Zandian H, Malekzadeh R, Naghavi M. Burden of Transport-Related Injuries in the Eastern Mediterranean Region: A Systematic Analysis for the Global Burden of Disease Study 2017. Arch Iran Med 2021; 24:512-525. [PMID: 34488316 DOI: 10.34172/aim.2021.74] [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] [Subscribe] [Scholar Register] [Received: 09/13/2020] [Accepted: 01/13/2021] [Indexed: 02/05/2023]
Abstract
BACKGROUND Transport-related injuries (TIs) are a substantial public health concern for all regions of the world. The present study quantified the burden of TIs and deaths in the Eastern Mediterranean region (EMR) in 2017 by sex and age. METHODS TIs and deaths were estimated by age, sex, country, and year using Cause of Death Ensemble modelling (CODEm) and DisMod-MR 2.1. Disability-adjusted life years (DALYs), which quantify the total burden of years lost due to premature death or disability, were also estimated per 100000 population. All estimates were reported along with their corresponding 95% uncertainty intervals (UIs). RESULTS In 2017, there were 5.5 million (UI 4.9-6.2) transport-related incident cases in the EMR - a substantial increase from 1990 (2.8 million; UI 2.5-3.1). The age-standardized incidence rate for the EMR in 2017 was 787 (UI 705.5-876.2) per 100000, which has not changed significantly since 1990 (-0.9%; UI -4.7 to 3). These rates differed remarkably between countries, such that Oman (1303.9; UI 1167.3-1441.5) and Palestine (486.5; UI 434.5-545.9) had the highest and lowest age-standardized incidence rates per 100000, respectively. In 2017, there were 185.3 thousand (UI 170.8-200.6) transport-related fatalities in the EMR - a substantial increase since 1990 (140.4 thousand; UI 118.7-156.9). The age-standardized death rate for the EMR in 2017 was 29.5 (UI 27.1-31.9) per 100000, which was 30.5% lower than that found in 1990 (42.5; UI 36.8-47.3). In 2017, Somalia (54; UI 30-77.4) and Lebanon (7.1; UI 4.8-8.6) had the highest and lowest age-standardized death rates per 100,000, respectively. The age-standardised DALY rate for the EMR in 2017 was 1,528.8 (UI 1412.5-1651.3) per 100000, which was 34.4% lower than that found in 1990 (2,331.3; UI 1,993.1-2,589.9). In 2017, the highest DALY rate was found in Pakistan (3454121; UI 2297890- 4342908) and the lowest was found in Bahrain (8616; UI 7670-9751). CONCLUSION The present study shows that while road traffic has become relatively safer (measured by deaths and DALYs per 100000 population), the number of transport-related fatalities in the EMR is growing and needs to be addressed urgently.
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Affiliation(s)
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- Road Traffic Injury Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Saeid Safiri
- Road Traffic Injury Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
- Department of Community Medicine, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mark J M Sullman
- Department of Social Sciences, University of Nicosia, Nicosia, Cyprus
- Department of Life and Health Sciences, University of Nicosia, Nicosia, Cyprus
| | - Timo Lajunen
- Department of Psychology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Tetiana Hill
- Hertfordshire Business School, University of Hertfordshire, Hatfield, UK
| | | | - Maziar Moradi-Lakeh
- Preventive Medicine and Public Health Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Farshad Farzadfar
- Non-communicable Diseases Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Sadaf G Sepanlou
- Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
- Non-communicable Disease Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Eman Abu-Gharbieh
- Department of Clinical Sciences, University of Sharjah, Sharjah, United Arab Emirates
| | - Teamur Aghamolaei
- Department of Health Education and Health Promotion, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | - Tauseef Ahmad
- Department of Epidemiology and Health Statistics, Southeast University, Nanjing, China
| | - Suliman A Alghnam
- Population Health Research Section, King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
- King Abdullah International Medical Research Center, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - Samar Al-Hajj
- Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon
- British Columbia Injury Research Prevention Unit, British Columbia Children's Hospital Research Institute, Vancouver, BC, Canada
| | - Vahid Alipour
- Health Management and Economics Research Center, Iran University of Medical Sciences, Tehran, Iran
- Department of Health Economics, Iran University of Medical Sciences, Tehran, Iran
| | - Syed Mohamed Aljunid
- Department of Health Policy and Management, Kuwait University, Kuwait City, Kuwait
- International Centre for Casemix and Clinical Coding, National University of Malaysia, Bandar Tun Razak, Malaysia
| | - Mina Anjomshoa
- Social Determinants of Health Research Center, Rafsanjan University of Medical Sciences, Rafsanjan, Iran
| | - Alireza Ansari-Moghaddam
- Department of Epidemiology and Biostatistics, Zahedan University of Medical Sciences, Zahedan, Iran
| | - Jalal Arabloo
- Health Management and Economics Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Mohsen Bayati
- Health Human Resources Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Neeraj Bedi
- Department of Community Medicine, Gandhi Medical College Bhopal, Bhopal, India
- Jazan University, Jazan, Saudi Arabia
| | - Salaheddine Bendak
- Department of Industrial Engineering and Engineering Management, University of Sharjah, Sharjah, United Arab Emirates
- Department of Epidemiology, University of Sharjah, Sharjah, United Arab Emirates
| | - Zulfiqar A Bhutta
- Centre for Global Child Health, University of Toronto, Toronto, ON, Canada
- Centre of Excellence in Women & Child Health, Aga Khan University, Karachi, Pakistan
| | - Ali Bijani
- Social Determinants of Health Research Center, Babol University of Medical Sciences, Babol, Iran
| | - Saad M A Dahlawi
- Environmental Health Department, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Mostafa Dianatinasab
- Department of Epidemiology and Biostatistics, Shahroud University of Medical Sciences, Shahroud, Iran
- Department of Epidemiology, Shiraz University of Medical Sciences, Shiraz, Iran
| | | | | | - Amir Emami Zeydi
- Department of Medical-Surgical Nursing, Mazandaran University of Medical Sciences, Sari, Iran
| | - Sharareh Eskandarieh
- Multiple Sclerosis Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Mansour Ghafourifard
- Department of Medical Surgical Nursing, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Ahmad Ghashghaee
- Health Management and Economics Research Center, Iran University of Medical Sciences, Tehran, Iran
- Student Research Committee, Iran University of Medical Sciences, Tehran, Iran
| | - Michal Grivna
- Institute of Public Health, United Arab Emirates University, Al Ain, United Arab Emirates
- Department of Public Health and Preventive Medicine, Charles University, Prague, Czech Republic
| | | | - Randah R Hamadeh
- Department of Family and Community Medicine, Arabian Gulf University, Manama, Bahrain
| | - Samer Hamidi
- School of Health and Environmental Studies, Hamdan Bin Mohammed Smart University, Dubai, United Arab Emirates
| | - Khezar Hayat
- Institute of Pharmaceutical Sciences, University of Veterinary and Animal Sciences, Lahore, Pakistan
- Department of Pharmacy Administration and Clinical Pharmacy, Xian Jiaotong University, Xian, China
| | - Enayatollah Homaie Rad
- Guilan Road Trauma Research Center, Guilan University of Medical Sciences, Rasht, Iran
- Social Determinants of Health Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Mehdi Hosseinzadeh
- Institute of Research and Development, Duy Tan University, Da Nang, Vietnam
- Department of Computer Science, University of Human Development, Sulaymaniyah, Iraq
| | - Mowafa Househ
- College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar
| | - Seyed Sina Naghibi Irvani
- Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad Ali Jahani
- Social Determinants of Health Research Center, Babol University of Medical Sciences, Babol, Iran
| | - Leila R Kalankesh
- Health Services Management Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Rohollah Kalhor
- Institute for Prevention of Non-communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran
- Health Services Management Department, Qazvin University of Medical Sciences, Qazvin, Iran
| | - Ibrahim Kamel
- University of La Verne, La Verne, CA, USA
- Department of Medicine, October 6 University, Giza, Egypt
| | - Mohammad Khammarnia
- Health Promotion Research Center, Zahedan University of Medical Sciences, Zahedan, Iran
| | - Maseer Khan
- Epidemiology Department, Jazan University, Jazan, Saudi Arabia
| | - Habibolah Khazaie
- Department of Psychiatry, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Hamidreza Komaki
- Neurophysiology Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
- Brain Engineering Research Center, Institute for Research in Fundamental Sciences, Tehran, Iran
| | - Amitis Lahimchi
- First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Mohammed Madadin
- Pathology Department, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Shokofeh Maleki
- Clinical Research Development Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Navid Manafi
- School of Medicine, Iran University of Medical Sciences, Tehran, Iran
- School of Medicine, University of Manitoba, Winnipeg, MB, Canada
| | - Fariborz Mansour-Ghanaei
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
- Caspian Digestive Disease Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Mohammad Ali Mansournia
- Department of Epidemiology and Biostatistics, Tehran University of Medical Sciences, Tehran, Iran
| | - Ritesh G Menezes
- Forensic Medicine Division, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Yousef Mohammad
- Internal Medicine Department, King Saud University, Riyadh, Saudi Arabia
| | | | - Farnam Mohebi
- Non-communicable Diseases Research Center, Tehran University of Medical Sciences, Tehran, Iran
- National Institute of Health Research (NIHR), Tehran University of Medical Sciences, Tehran, Iran
| | - Ghobad Moradi
- Social Determinants of Health Research Center, Kurdistan University of Medical Sciences, Sanandaj, Iran
- Department of Epidemiology and Biostatistics, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | | | - Seyyed Meysam Mousavi
- Department of Health Policy, Management, and Economics, Tehran University of Medical Sciences, Tehran, Iran
| | - Mehdi Naderi
- Clinical Research Development Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Rajan Nikbakhsh
- Obesity Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Keyvan Pakshir
- Department of Parasitology and Mycology, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Akram Pourshams
- Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Navid Rabiee
- Department of Chemistry, Sharif University of Technology, Tehran, Iran
| | - Alireza Rafiei
- Department of Immunology, Mazandaran University of Medical Sciences, Sari, Iran
- Molecular and Cell Biology Research Center, Mazandaran University of Medical Sciences, Sari, Iran
| | | | - Aziz Rezapour
- Health Management and Economics Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Basema Saddik
- Department of Family and Community Medicine, University of Sharjah, Sharjah, United Arab Emirates
| | - Sahar Saeedi Moghaddam
- Non-communicable Diseases Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Payman Salamati
- Sina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Marwa Rashad Salem
- Public Health and Community Medicine Department, Cairo University, Giza, Egypt
| | - Hosni Salem
- Urology Department, Cairo University, Cairo, Egypt
| | - Abdallah M Samy
- Department of Entomology, Ain Shams University, Cairo, Egypt
| | - Brijesh Sathian
- Department of Geriatrics and Long Term Care, Hamad Medical Corporation, Doha, Qatar
- Faculty of Health and Social Sciences, Bournemouth University, Bournemouth, UK
| | - Saeed Shahabi
- Health Policy Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | | | | | - Morteza Shamsizadeh
- Faculty of Caring Science, Work Life, and Social Welfare, University of Borås, Borås, Sweden
| | - Mohammad Reza Sobhiyeh
- Department of Vascular and Endovascular Surgery, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Amin Soheili
- Nursing Care Research Center, Semnan University of Medical Sciences, Semnan, Iran
| | - Arash Tehrani-Banihashemi
- Preventive Medicine and Public Health Research Center, Iran University of Medical Sciences, Tehran, Iran
- Department of Community and Family Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Yasir Waheed
- Foundation University Medical College, Foundation University Islamabad, Islamabad, Pakistan
| | - Hasan Yusefzadeh
- Department of Health Care Management and Economics, Urmia University of Medical Science, Urmia, Iran
| | - Telma Zahirian Moghadam
- Social Determinants of Health Research Center, Ardabil University of Medical Science, Ardabil, Iran
| | - Leila Zaki
- Department of Parasitology and Entomology, Tarbiat Modares University, Tehran, Iran
| | - Mohammad Zamani
- Student Research Committee, Babol University of Medical Sciences, Babol, Iran
| | - Hamed Zandian
- Social Determinants of Health Research Center, Ardabil University of Medical Science, Ardabil, Iran
- Department of Community Medicine, Ardabil University of Medical Science, Ardabil, Iran
| | - Reza Malekzadeh
- Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
- Non-communicable Disease Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mohsen Naghavi
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
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Ahmad S, Waheed Y, Abro A, Abbasi SW, Ismail S. Molecular screening of glycyrrhizin-based inhibitors against ACE2 host receptor of SARS-CoV-2. J Mol Model 2021; 27:206. [PMID: 34169390 PMCID: PMC8225399 DOI: 10.1007/s00894-021-04816-y] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Accepted: 06/02/2021] [Indexed: 02/07/2023]
Abstract
The interaction between SARS-CoV-2 Spike protein and angiotensin-converting enzyme 2 (ACE2) is essential to viral attachment and the subsequent fusion process. Interfering with this event represents an attractive avenue for the development of therapeutics and vaccine development. Here, a hybrid approach of ligand- and structure-based virtual screening techniques were employed to disclose similar analogues of a reported antiviral phytochemical, glycyrrhizin, targeting the blockade of ACE2 interaction with the SARS-CoV-2 Spike. A ligand-based similarity search using a stringent cut-off revealed 40 FDA-approved compounds in DrugBank. These filtered hits were screened against ACE2 using a blind docking approach to determine the natural binding tendency of the compounds with ACE2. Three compounds, deslanoside, digitoxin, and digoxin, were reported to show strong binding with ACE2. These compounds bind at the H1-H2 binding pocket, in a manner similar to that of glycyrrhizin which was used as a control. To achieve consistency in the docking results, docking calculations were performed via two sets of docking software that predicted binding energy as ACE2-Deslanoside (AutoDock, -10.3 kcal/mol and DockThor, -9.53 kcal/mol), ACE2-Digitoxin (AutoDock, -10.6 kcal/mol and DockThor, -8.84 kcal/mol), and ACE2-Digoxin (AutoDock, -10.6 kcal/mol and DockThor, -8.81 kcal/mol). The docking results were validated by running molecular simulations in aqueous solution that demonstrated the stability of ACE2 with no major conformational changes in the ligand original binding mode (~ 2 Å average RMSD). Binding interactions remained quite stable with an increased potential for getting stronger as the simulation proceeded. MMGB/PBSA binding free energies were also estimated and these supported the high stability of the complexes compared to the control (~ -50 kcal/mol net MMGB/PBSA binding energy versus ~ -30 kcal/mol). Collectively, the data demonstrated that the compounds shortlisted in this study might be subjected to experimental evaluation to uncover their real blockade capacity of SARS-CoV-2 host ACE2 receptor.
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Affiliation(s)
- Sajjad Ahmad
- Department of Health and Biological Sciences, Abasyn University, Peshawar, 25000 Pakistan
| | - Yasir Waheed
- Foundation University Medical College, Foundation University Islamabad, DHA-I, Islamabad, 44000 Pakistan
| | - Asma Abro
- Department of Biotechnology, Faculty of Life Sciences and Informatics, Balochistan University of Information Technology Engineering and Management Sciences, Quetta, Pakistan
| | - Sumra Wajid Abbasi
- NUMS Department of Biological Sciences, National University of Medical Sciences, Abid Majeed Rd, The Mall, Rawalpindi, Pakistan
| | - Saba Ismail
- NUMS Department of Biological Sciences, National University of Medical Sciences, Abid Majeed Rd, The Mall, Rawalpindi, Pakistan
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Reitsma MB, Kendrick PJ, Ababneh E, Abbafati C, Abbasi-Kangevari M, Abdoli A, Abedi A, Abhilash ES, Abila DB, Aboyans V, Abu-Rmeileh NME, Adebayo OM, Advani SM, Aghaali M, Ahinkorah BO, Ahmad S, Ahmadi K, Ahmed H, Aji B, Akunna CJ, Al-Aly Z, Alanzi TM, Alhabib KF, Ali L, Alif SM, Alipour V, Aljunid SM, Alla F, Allebeck P, Alvis-Guzman N, Amin TT, Amini S, Amu H, Amul GGH, Ancuceanu R, Anderson JA, Ansari-Moghaddam A, Antonio CAT, Antony B, Anvari D, Arabloo J, Arian ND, Arora M, Asaad M, Ausloos M, Awan AT, Ayano G, Aynalem GL, Azari S, B DB, Badiye AD, Baig AA, Bakhshaei MH, Banach M, Banik PC, Barker-Collo SL, Bärnighausen TW, Barqawi HJ, Basu S, Bayati M, Bazargan-Hejazi S, Behzadifar M, Bekuma TT, Bennett DA, Bensenor IM, Berfield KSS, Bhagavathula AS, Bhardwaj N, Bhardwaj P, Bhattacharyya K, Bibi S, Bijani A, Bintoro BS, Biondi A, Birara S, Braithwaite D, Brenner H, Brunoni AR, Burkart K, Butt ZA, Caetano dos Santos FL, Cámera LA, Car J, Cárdenas R, Carreras G, Carrero JJ, Castaldelli-Maia JM, Cattaruzza MSS, Chang JC, Chen S, Chu DT, Chung SC, Cirillo M, Costa VM, Couto RAS, Dadras O, Dai X, Damasceno AAM, Damiani G, Dandona L, Dandona R, Daneshpajouhnejad P, Darega Gela J, Davletov K, Derbew Molla M, Dessie GA, Desta AA, Dharmaratne SD, Dianatinasab M, Diaz D, Do HT, Douiri A, Duncan BB, Duraes AR, Eagan AW, Ebrahimi Kalan M, Edvardsson K, Elbarazi I, El Tantawi M, Esmaeilnejad S, Fadhil I, Faraon EJA, Farinha CSES, Farwati M, Farzadfar F, Fazlzadeh M, Feigin VL, Feldman R, Fernandez Prendes C, Ferrara P, Filip I, Filippidis F, Fischer F, Flor LS, Foigt NA, Folayan MO, Foroutan M, Gad MM, Gaidhane AM, Gallus S, Geberemariyam BS, Ghafourifard M, Ghajar A, Ghashghaee A, Giampaoli S, Gill PS, Glozah FN, Gnedovskaya EV, Golechha M, Gopalani SV, Gorini G, Goudarzi H, Goulart AC, Greaves F, Guha A, Guo Y, Gupta B, Gupta RD, Gupta R, Gupta T, Gupta V, Hafezi-Nejad N, Haider MR, Hamadeh RR, Hankey GJ, Hargono A, Hartono RK, Hassankhani H, Hay SI, Heidari G, Herteliu C, Hezam K, Hird TR, Hole MK, Holla R, Hosseinzadeh M, Hostiuc S, Househ M, Hsiao T, Huang J, Iannucci VC, Ibitoye SE, Idrisov B, Ilesanmi OS, Ilic IM, Ilic MD, Inbaraj LR, Irvani SSN, Islam JY, Islam RM, Islam SMS, Islami F, Iso H, Itumalla R, Iwagami M, Jaafari J, Jain V, Jakovljevic M, Jang SI, Janjani H, Jayaram S, Jeemon P, Jha RP, Jonas JB, Joo T, Jürisson M, Kabir A, Kabir Z, Kalankesh LR, Kanchan T, Kandel H, Kapoor N, Karimi SE, Katikireddi SV, Kebede HK, Kelkay B, Kennedy RD, Khoja AT, Khubchandani J, Kim GR, Kim YE, Kimokoti RW, Kivimäki M, Kosen S, Koulmane Laxminarayana SL, Koyanagi A, Krishan K, Kugbey N, Kumar GA, Kumar N, Kurmi OP, Kusuma D, Lacey B, Lam JO, Landires I, Lasrado S, Lauriola P, Lee DW, Lee YH, Leung J, Li S, Lin H, Linn S, Liu W, Lopez AD, Lopukhov PD, Lorkowski S, Lugo A, Majeed A, Maleki A, Malekzadeh R, Malta DC, Mamun AA, Manjunatha N, Mansouri B, Mansournia MA, Martinez-Raga J, Martini S, Mathur MR, Medina-Solís CE, Mehata S, Mendoza W, Menezes RG, Meretoja A, Meretoja TJ, Miazgowski B, Michalek IM, Miller TR, Mirrakhimov EM, Mirzaei H, Mirzaei-Alavijeh M, Misra S, Moghadaszadeh M, Mohammad Y, Mohammadian-Hafshejani A, Mohammed S, Mokdad AH, Monasta L, Moni MA, Moradi G, Moradi-Lakeh M, Moradzadeh R, Morrison SD, Mossie TB, Mubarik S, Mullany EC, Murray CJL, Naghavi M, Naghshtabrizi B, Nair S, Nalini M, Nangia V, Naqvi AA, Narasimha Swamy S, Naveed M, Nayak S, Nayak VC, Nazari J, Nduaguba SO, Neupane Kandel S, Nguyen CT, Nguyen HLT, Nguyen SH, Nguyen TH, Nixon MR, Nnaji CA, Norrving B, Noubiap JJ, Nowak C, Ogbo FA, Oguntade AS, Oh IH, Olagunju AT, Oren E, Otstavnov N, Otstavnov SS, Owolabi MO, P A M, Pakhale S, Pakshir K, Palladino R, Pana A, Panda-Jonas S, Pandey A, Parekh U, Park EC, Park EK, Pashazadeh Kan F, Patton GC, Pawar S, Pestell RG, Pinheiro M, Piradov MA, Pirouzpanah S, Pokhrel KN, Polibin RV, Prashant A, Pribadi DRA, Radfar A, Rahimi-Movaghar V, Rahman A, Rahman MHU, Rahman MA, Rahmani AM, Rajai N, Ram P, Ranabhat CL, Rathi P, Rawal L, Renzaho AMN, Reynales-Shigematsu LM, Rezapour A, Riahi SM, Riaz MA, Roever L, Ronfani L, Roshandel G, Roy A, Roy B, Sacco S, Saddik B, Sahebkar A, Salehi S, Salimzadeh H, Samaei M, Samy AM, Santos IS, Santric-Milicevic MM, Sarrafzadegan N, Sathian B, Sawhney M, Saylan M, Schaub MP, Schmidt MI, Schneider IJC, Schutte AE, Schwendicke F, Seidu AA, Senthil Kumar N, Sepanlou SG, Seylani A, Shafaat O, Shah SM, Shaikh MA, Shalash AS, Shannawaz M, Sharafi K, Sheikh A, Sheikhbahaei S, Shigematsu M, Shiri R, Shishani K, Shivakumar KM, Shivalli S, Shrestha R, Siabani S, Sidemo NB, Sigfusdottir ID, Sigurvinsdottir R, Silva DAS, Silva JP, Singh A, Singh JA, Singh V, Sinha DN, Sitas F, Skryabin VY, Skryabina AA, Soboka M, Soriano JB, Soroush A, Soshnikov S, Soyiri IN, Spurlock EE, Sreeramareddy CT, Stein DJ, Steiropoulos P, Stortecky S, Straif K, Suliankatchi Abdulkader R, Sulo G, Sundström J, Tabuchi T, Tadakamadla SK, Taddele BW, Tadesse EG, Tamiru AT, Tareke M, Tareque MI, Tarigan IU, Temsah MH, Thankappan KR, Thapar R, Tichopad A, Tolani MA, Topouzis F, Tovani-Palone MR, Tran BX, Tripathy JP, Tsegaye GW, Tsilimparis N, Tymeson HD, Ullah A, Ullah S, Unim B, Updike RL, Vacante M, Valdez PR, Vardavas C, Varona Pérez P, Vasankari TJ, Venketasubramanian N, Verma M, Vetrova MV, Vo B, Vu GT, Waheed Y, Wang Y, Welding K, Werdecker A, Whisnant JL, Wickramasinghe ND, Yamagishi K, Yandrapalli S, Yatsuya H, Yazdi-Feyzabadi V, Yeshaw Y, Yimmer MZ, Yonemoto N, Yu C, Yunusa I, Yusefzadeh H, Zahirian Moghadam T, Zaman MS, Zamanian M, Zandian H, Zar HJ, Zastrozhin MS, Zastrozhina A, Zavala-Arciniega L, Zhang J, Zhang ZJ, Zhong C, Zuniga YMH, Gakidou E. Spatial, temporal, and demographic patterns in prevalence of smoking tobacco use and attributable disease burden in 204 countries and territories, 1990-2019: a systematic analysis from the Global Burden of Disease Study 2019. Lancet 2021; 397:2337-2360. [PMID: 34051883 PMCID: PMC8223261 DOI: 10.1016/s0140-6736(21)01169-7] [Citation(s) in RCA: 446] [Impact Index Per Article: 148.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 02/15/2021] [Accepted: 05/19/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Ending the global tobacco epidemic is a defining challenge in global health. Timely and comprehensive estimates of the prevalence of smoking tobacco use and attributable disease burden are needed to guide tobacco control efforts nationally and globally. METHODS We estimated the prevalence of smoking tobacco use and attributable disease burden for 204 countries and territories, by age and sex, from 1990 to 2019 as part of the Global Burden of Diseases, Injuries, and Risk Factors Study. We modelled multiple smoking-related indicators from 3625 nationally representative surveys. We completed systematic reviews and did Bayesian meta-regressions for 36 causally linked health outcomes to estimate non-linear dose-response risk curves for current and former smokers. We used a direct estimation approach to estimate attributable burden, providing more comprehensive estimates of the health effects of smoking than previously available. FINDINGS Globally in 2019, 1·14 billion (95% uncertainty interval 1·13-1·16) individuals were current smokers, who consumed 7·41 trillion (7·11-7·74) cigarette-equivalents of tobacco in 2019. Although prevalence of smoking had decreased significantly since 1990 among both males (27·5% [26·5-28·5] reduction) and females (37·7% [35·4-39·9] reduction) aged 15 years and older, population growth has led to a significant increase in the total number of smokers from 0·99 billion (0·98-1·00) in 1990. Globally in 2019, smoking tobacco use accounted for 7·69 million (7·16-8·20) deaths and 200 million (185-214) disability-adjusted life-years, and was the leading risk factor for death among males (20·2% [19·3-21·1] of male deaths). 6·68 million [86·9%] of 7·69 million deaths attributable to smoking tobacco use were among current smokers. INTERPRETATION In the absence of intervention, the annual toll of 7·69 million deaths and 200 million disability-adjusted life-years attributable to smoking will increase over the coming decades. Substantial progress in reducing the prevalence of smoking tobacco use has been observed in countries from all regions and at all stages of development, but a large implementation gap remains for tobacco control. Countries have a clear and urgent opportunity to pass strong, evidence-based policies to accelerate reductions in the prevalence of smoking and reap massive health benefits for their citizens. FUNDING Bloomberg Philanthropies and the Bill & Melinda Gates Foundation.
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Kader HA, Azeem M, Jwayed SA, Al-Shehhi A, Tabassum A, Ayoub MA, Hetta HF, Waheed Y, Iratni R, Al-Dhaheri A, Muhammad K. Current Insights into Immunology and Novel Therapeutics of Atopic Dermatitis. Cells 2021; 10:cells10061392. [PMID: 34200009 PMCID: PMC8226506 DOI: 10.3390/cells10061392] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Revised: 06/01/2021] [Accepted: 06/02/2021] [Indexed: 02/07/2023] Open
Abstract
Atopic dermatitis (AD) is one of the most prevalent inflammatory disease among non-fatal skin diseases, affecting up to one fifth of the population in developed countries. AD is characterized by recurrent pruritic and localized eczema with seasonal fluctuations. AD initializes the phenomenon of atopic march, during which infant AD patients are predisposed to progressive secondary allergies such as allergic rhinitis, asthma, and food allergies. The pathophysiology of AD is complex; onset of the disease is caused by several factors, including strong genetic predisposition, disrupted epidermal barrier, and immune dysregulation. AD was initially characterized by defects in the innate immune system and a vigorous skewed adaptive Th2 response to environmental agents; there are compelling evidences that the disorder involves multiple immune pathways. Symptomatic palliative treatment is the only strategy to manage the disease and restore skin integrity. Researchers are trying to more precisely define the contribution of different AD genotypes and elucidate the role of various immune axes. In this review, we have summarized the current knowledge about the roles of innate and adaptive immune responsive cells in AD. In addition, current and novel treatment strategies for the management of AD are comprehensively described, including some ongoing clinical trials and promising therapeutic agents. This information will provide an asset towards identifying personalized targets for better therapeutic outcomes.
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Affiliation(s)
- Hidaya A. Kader
- Department of Biology, College of Science, UAE University, Al Ain 15551, United Arab Emirates; (H.A.K.); (S.A.J.); (A.A.-S.); (M.A.A.); (R.I.)
| | - Muhammad Azeem
- Department of Pathology, University of Würzburg, 97080 Würzburg, Germany;
| | - Suhib A. Jwayed
- Department of Biology, College of Science, UAE University, Al Ain 15551, United Arab Emirates; (H.A.K.); (S.A.J.); (A.A.-S.); (M.A.A.); (R.I.)
| | - Aaesha Al-Shehhi
- Department of Biology, College of Science, UAE University, Al Ain 15551, United Arab Emirates; (H.A.K.); (S.A.J.); (A.A.-S.); (M.A.A.); (R.I.)
| | - Attia Tabassum
- Department of Dermatology, Mayo Hospital, Lahore 54000, Pakistan;
| | - Mohammed Akli Ayoub
- Department of Biology, College of Science, UAE University, Al Ain 15551, United Arab Emirates; (H.A.K.); (S.A.J.); (A.A.-S.); (M.A.A.); (R.I.)
| | - Helal F. Hetta
- Department of Medical Microbiology and Immunology, Faculty of Medicine, Assiut University, Assiut 71515, Egypt;
| | - Yasir Waheed
- Foundation University Medical College, Foundation University Islamabad, Islamabad 44000, Pakistan;
| | - Rabah Iratni
- Department of Biology, College of Science, UAE University, Al Ain 15551, United Arab Emirates; (H.A.K.); (S.A.J.); (A.A.-S.); (M.A.A.); (R.I.)
| | - Ahmed Al-Dhaheri
- Department of Dermatology, Tawam Hospital, Al Ain 15551, United Arab Emirates;
| | - Khalid Muhammad
- Department of Biology, College of Science, UAE University, Al Ain 15551, United Arab Emirates; (H.A.K.); (S.A.J.); (A.A.-S.); (M.A.A.); (R.I.)
- Correspondence:
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Johnson SC, Cunningham M, Dippenaar IN, Sharara F, Wool EE, Agesa KM, Han C, Miller-Petrie MK, Wilson S, Fuller JE, Balassyano S, Bertolacci GJ, Davis Weaver N, Lopez AD, Murray CJL, Naghavi M. Public health utility of cause of death data: applying empirical algorithms to improve data quality. BMC Med Inform Decis Mak 2021; 21:175. [PMID: 34078366 PMCID: PMC8170729 DOI: 10.1186/s12911-021-01501-1] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Accepted: 04/21/2021] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Accurate, comprehensive, cause-specific mortality estimates are crucial for informing public health decision making worldwide. Incorrectly or vaguely assigned deaths, defined as garbage-coded deaths, mask the true cause distribution. The Global Burden of Disease (GBD) study has developed methods to create comparable, timely, cause-specific mortality estimates; an impactful data processing method is the reallocation of garbage-coded deaths to a plausible underlying cause of death. We identify the pattern of garbage-coded deaths in the world and present the methods used to determine their redistribution to generate more plausible cause of death assignments. METHODS We describe the methods developed for the GBD 2019 study and subsequent iterations to redistribute garbage-coded deaths in vital registration data to plausible underlying causes. These methods include analysis of multiple cause data, negative correlation, impairment, and proportional redistribution. We classify garbage codes into classes according to the level of specificity of the reported cause of death (CoD) and capture trends in the global pattern of proportion of garbage-coded deaths, disaggregated by these classes, and the relationship between this proportion and the Socio-Demographic Index. We examine the relative importance of the top four garbage codes by age and sex and demonstrate the impact of redistribution on the annual GBD CoD rankings. RESULTS The proportion of least-specific (class 1 and 2) garbage-coded deaths ranged from 3.7% of all vital registration deaths to 67.3% in 2015, and the age-standardized proportion had an overall negative association with the Socio-Demographic Index. When broken down by age and sex, the category for unspecified lower respiratory infections was responsible for nearly 30% of garbage-coded deaths in those under 1 year of age for both sexes, representing the largest proportion of garbage codes for that age group. We show how the cause distribution by number of deaths changes before and after redistribution for four countries: Brazil, the United States, Japan, and France, highlighting the necessity of accounting for garbage-coded deaths in the GBD. CONCLUSIONS We provide a detailed description of redistribution methods developed for CoD data in the GBD; these methods represent an overall improvement in empiricism compared to past reliance on a priori knowledge.
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Affiliation(s)
| | - Matthew Cunningham
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Ilse N Dippenaar
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Fablina Sharara
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Eve E Wool
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Kareha M Agesa
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Chieh Han
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Molly K Miller-Petrie
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
| | - Shadrach Wilson
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - John E Fuller
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Shelly Balassyano
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Gregory J Bertolacci
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Nicole Davis Weaver
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | | | - Alan D Lopez
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - Christopher J L Murray
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Mohsen Naghavi
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA.
- Department of Health Metrics Sciences, Director of Subnational Burden of Disease Estimation, Institute for Health Metrics and Evaluation School of Medicine, University of Washington, 2301 5th Ave. Suite 600, Seattle, WA, 98121, USA.
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Sartorius B, VanderHeide JD, Yang M, Goosmann EA, Hon J, Haeuser E, Cork MA, Perkins S, Jahagirdar D, Schaeffer LE, Serfes AL, LeGrand KE, Abbastabar H, Abebo ZH, Abosetugn AE, Abu-Gharbieh E, Accrombessi MMK, Adebayo OM, Adegbosin AE, Adekanmbi V, Adetokunboh OO, Adeyinka DA, Ahinkorah BO, Ahmadi K, Ahmed MB, Akalu Y, Akinyemi OO, Akinyemi RO, Aklilu A, Akunna CJ, Alahdab F, Al-Aly Z, Alam N, Alamneh AA, Alanzi TM, Alemu BW, Alhassan RK, Ali T, Alipour V, Amini S, Ancuceanu R, Ansari F, Anteneh ZA, Anvari D, Anwer R, Appiah SCY, Arabloo J, Asemahagn MA, Asghari Jafarabadi M, Asmare WN, Atnafu DD, Atout MMW, Atreya A, Ausloos M, Awedew AF, Ayala Quintanilla BP, Ayanore MA, Aynalem YA, Ayza MA, Azari S, Azene ZN, Babar ZUD, Baig AA, Balakrishnan S, Banach M, Bärnighausen TW, Basu S, Bayati M, Bedi N, Bekuma TT, Bezabhe WMM, Bhagavathula AS, Bhardwaj P, Bhattacharyya K, Bhutta ZA, Bibi S, Bikbov B, Birhan TA, Bitew ZW, Bockarie MJ, Boloor A, Brady OJ, Bragazzi NL, Briko AN, Briko NI, Burugina Nagaraja S, Butt ZA, Cárdenas R, Carvalho F, Charan J, Chatterjee S, Chattu SK, Chattu VK, Chowdhury MAK, Chu DT, Cook AJ, Cormier NM, Cowden RG, Culquichicon C, Dagnew B, Dahlawi SMA, Damiani G, Daneshpajouhnejad P, Daoud F, Daryani A, das Neves J, Davis Weaver N, Derbew Molla M, Deribe K, Desta AA, Deuba K, Dharmaratne SD, Dhungana GP, Diaz D, Djalalinia S, Doku PN, Dubljanin E, Duko B, Eagan AW, Earl L, Eaton JW, Effiong A, El Sayed Zaki M, El Tantawi M, Elayedath R, El-Jaafary SI, Elsharkawy A, Eskandarieh S, Eyawo O, Ezzikouri S, Fasanmi AO, Fasil A, Fauk NK, Feigin VL, Ferede TY, Fernandes E, Fischer F, Foigt NA, Folayan MO, Foroutan M, Francis JM, Fukumoto T, Gad MM, Geberemariyam BS, Gebregiorgis BG, Gebremichael B, Gesesew HA, Getacher L, Ghadiri K, Ghashghaee A, Gilani SA, Ginindza TG, Glagn M, Golechha M, Gona PN, Gubari MIM, Gugnani HC, Guido D, Guled RA, Hall BJ, Hamidi S, Handiso DW, Hargono A, Hashi A, Hassanipour S, Hassankhani H, Hayat K, Herteliu C, Hidru HDD, Holla R, Hosgood HD, Hossain N, Hosseini M, Hosseinzadeh M, Househ M, Hwang BF, Ibitoye SE, Ilesanmi OS, Ilic IM, Ilic MD, Irvani SSN, Iwu CCD, Iwu CJ, Iyamu IO, Jain V, Jakovljevic M, Jalilian F, Jha RP, Johnson KB, Joshua V, Joukar F, Jozwiak JJ, Kabir A, Kalankesh LR, Kalhor R, Kamath A, Kamyari N, Kanchan T, Karami Matin B, Karch A, Karimi SE, Kasa AS, Kassahun G, Kayode GA, Kazemi Karyani A, Keiyoro PN, Kelkay B, Khalid N, Khan G, Khan J, Khan MN, Khatab K, Khazaei S, Kim YJ, Kisa A, Kisa S, Kochhar S, Kopec JA, Kosen S, Koulmane Laxminarayana SL, Koyanagi A, Krishan K, Kuate Defo B, Kugbey N, Kulkarni V, Kumar M, Kumar N, Kurmi OP, Kusuma D, Kuupiel D, Kyu HH, La Vecchia C, Lal DK, Lam JO, Landires I, Lasrado S, Lazarus JV, Lazzar-Atwood A, Lee PH, Leshargie CT, Li B, Liu X, Lopukhov PD, M. Amin HI, Madi D, Mahasha PW, Majeed A, Maleki A, Maleki S, Mamun AA, Manafi N, Mansournia MA, Martins-Melo FR, Masoumi SZ, Mayala BK, Meharie BG, Meheretu HAA, Meles HG, Melku M, Mendoza W, Mengesha EW, Meretoja TJ, Mersha AM, Mestrovic T, Miller TR, Mirica A, Mirzaei-Alavijeh M, Mohamad O, Mohammad Y, Mohammadian-Hafshejani A, Mohammed JA, Mohammed S, Mohammed S, Mokdad AH, Mokonnon TM, Molokhia M, Moradi M, Moradi Y, Moradzadeh R, Moraga P, Mosser JF, Munro SB, Mustafa G, Muthupandian S, Naderi M, Nagarajan AJ, Naghavi M, Naveed M, Nayak VC, Nazari J, Ndejjo R, Nepal S, Netsere HB, Ngalesoni FN, Nguefack-Tsague G, Ngunjiri JW, Nigatu YT, Nigussie SN, Nnaji CA, Noubiap JJ, Nuñez-Samudio V, Oancea B, Odukoya OO, Ogbo FA, Oladimeji O, Olagunju AT, Olusanya BO, Olusanya JO, Omer MO, Omonisi AEE, Onwujekwe OE, Orisakwe OE, Otstavnov N, Owolabi MO, P A M, Padubidri JR, Pakhale S, Pana A, Pandi-Perumal SR, Patel UK, Pathak M, Patton GC, Pawar S, Peprah EK, Pokhrel KN, Postma MJ, Pottoo FH, Pourjafar H, Pribadi DRA, Quazi Syed Z, Rafiei A, Rahim F, Rahman MHU, Rahmani AM, Ram P, Rana J, Ranabhat CL, Rao S, Rao SJ, Rathi P, Rawaf DL, Rawaf S, Rawassizadeh R, Renjith V, Reta MA, Rezaei N, Rezapour A, Ribeiro AI, Ross JM, Rumisha SF, Sagar R, Sahu M, Sajadi SM, Salem MR, Samy AM, Sathian B, Schutte AE, Seidu AA, Sha F, Shafaat O, Shahbaz M, Shaikh MA, Shaka MF, Sheikh A, Shibuya K, Shin JI, Shivakumar KM, Sidemo NB, Singh JA, Skryabin VY, Skryabina AA, Soheili A, Soltani S, Somefun OD, Sorrie MB, Spurlock EE, Sufiyan MB, Taddele BW, Tadesse EG, Tamir Z, Tamiru AT, Tanser FC, Taveira N, Tehrani-Banihashemi A, Tekalegn Y, Tesfay FH, Tessema B, Tessema ZT, Thakur B, Tolani MA, Topor-Madry R, Torrado M, Tovani-Palone MR, Traini E, Tsai AC, Tsegaye GW, Ullah I, Ullah S, Umeokonkwo CD, Unnikrishnan B, Vardavas C, Violante FS, Vo B, Wado YD, Waheed Y, Wamai RG, Wang Y, Ward P, Werdecker A, Wickramasinghe ND, Wijeratne T, Wiysonge CS, Wondmeneh TG, Yamada T, Yaya S, Yeshaw Y, Yeshitila YG, Yilma MT, Yip P, Yonemoto N, Yosef T, Yusefzadeh H, Zaidi SS, Zaki L, Zamanian M, Zastrozhin MS, Zastrozhina A, Zewdie DT, Zhang Y, Zhang ZJ, Ziapour A, Hay SI, Dwyer-Lindgren L. Subnational mapping of HIV incidence and mortality among individuals aged 15-49 years in sub-Saharan Africa, 2000-18: a modelling study. Lancet HIV 2021; 8:e363-e375. [PMID: 34087097 PMCID: PMC8187986 DOI: 10.1016/s2352-3018(21)00051-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 03/05/2021] [Accepted: 03/09/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND High-resolution estimates of HIV burden across space and time provide an important tool for tracking and monitoring the progress of prevention and control efforts and assist with improving the precision and efficiency of targeting efforts. We aimed to assess HIV incidence and HIV mortality for all second-level administrative units across sub-Saharan Africa. METHODS In this modelling study, we developed a framework that used the geographically specific HIV prevalence data collected in seroprevalence surveys and antenatal care clinics to train a model that estimates HIV incidence and mortality among individuals aged 15-49 years. We used a model-based geostatistical framework to estimate HIV prevalence at the second administrative level in 44 countries in sub-Saharan Africa for 2000-18 and sought data on the number of individuals on antiretroviral therapy (ART) by second-level administrative unit. We then modified the Estimation and Projection Package (EPP) to use these HIV prevalence and treatment estimates to estimate HIV incidence and mortality by second-level administrative unit. FINDINGS The estimates suggest substantial variation in HIV incidence and mortality rates both between and within countries in sub-Saharan Africa, with 15 countries having a ten-times or greater difference in estimated HIV incidence between the second-level administrative units with the lowest and highest estimated incidence levels. Across all 44 countries in 2018, HIV incidence ranged from 2·8 (95% uncertainty interval 2·1-3·8) in Mauritania to 1585·9 (1369·4-1824·8) cases per 100 000 people in Lesotho and HIV mortality ranged from 0·8 (0·7-0·9) in Mauritania to 676·5 (513·6-888·0) deaths per 100 000 people in Lesotho. Variation in both incidence and mortality was substantially greater at the subnational level than at the national level and the highest estimated rates were accordingly higher. Among second-level administrative units, Guijá District, Gaza Province, Mozambique, had the highest estimated HIV incidence (4661·7 [2544·8-8120·3]) cases per 100 000 people in 2018 and Inhassunge District, Zambezia Province, Mozambique, had the highest estimated HIV mortality rate (1163·0 [679·0-1866·8]) deaths per 100 000 people. Further, the rate of reduction in HIV incidence and mortality from 2000 to 2018, as well as the ratio of new infections to the number of people living with HIV was highly variable. Although most second-level administrative units had declines in the number of new cases (3316 [81·1%] of 4087 units) and number of deaths (3325 [81·4%]), nearly all appeared well short of the targeted 75% reduction in new cases and deaths between 2010 and 2020. INTERPRETATION Our estimates suggest that most second-level administrative units in sub-Saharan Africa are falling short of the targeted 75% reduction in new cases and deaths by 2020, which is further compounded by substantial within-country variability. These estimates will help decision makers and programme implementers expand access to ART and better target health resources to higher burden subnational areas. FUNDING Bill & Melinda Gates Foundation.
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Dar HA, Ismail S, Waheed Y, Ahmad S, Jamil Z, Aziz H, Hetta HF, Muhammad K. Designing a multi-epitope vaccine against Mycobacteroides abscessus by pangenome-reverse vaccinology. Sci Rep 2021; 11:11197. [PMID: 34045649 PMCID: PMC8159972 DOI: 10.1038/s41598-021-90868-2] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Accepted: 05/19/2021] [Indexed: 02/07/2023] Open
Abstract
Mycobacteroides abscessus (Previously Mycobacterium abscessus) is an emerging microorganism of the newly defined genera Mycobacteroides that causes mainly skin and tissue diseases in humans. The recent availability of total 34 fully sequenced genomes of different strains belonging to this species has provided an opportunity to utilize this genomics data to gain novel insights and guide the development of specific antimicrobial therapies. In the present study, we collected collectively 34 complete genome sequences of M. abscessus from the NCBI GenBank database. Pangenome analysis was conducted on these genomes to understand the genetic diversity and to obtain proteins associated with its core genome. These core proteins were then subjected to various subtractive filters to identify potential antigenic targets that were subjected to multi-epitope vaccine design. Our analysis projected the open pangenome of M. abscessus containing 3443 core genes. After applying various stepwise filtration steps on the core proteins, a total of four potential antigenic targets were identified. Utilizing their constituent CD4 and CD8 T-cell epitopes, a multi-epitope based subunit vaccine was computationally designed. Sequence-based analysis as well as structural characterization revealed the immunological effectiveness of this designed vaccine. Further molecular docking, molecular dynamics simulation and binding free energy estimation with Toll-like receptor 2 indicated strong structural associations of the vaccine with the immune receptor. The promising results are encouraging and need to be validated by additional wet laboratory studies for confirmation.
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Affiliation(s)
- Hamza Arshad Dar
- Foundation University Medical College, Foundation University Islamabad, DHA-I, Islamabad, 44000, Pakistan
| | - Saba Ismail
- Foundation University Medical College, Foundation University Islamabad, DHA-I, Islamabad, 44000, Pakistan
| | - Yasir Waheed
- Foundation University Medical College, Foundation University Islamabad, DHA-I, Islamabad, 44000, Pakistan.
| | - Sajjad Ahmad
- Foundation University Medical College, Foundation University Islamabad, DHA-I, Islamabad, 44000, Pakistan
| | - Zubia Jamil
- Foundation University Medical College, Foundation University Islamabad, DHA-I, Islamabad, 44000, Pakistan
| | - Hafsa Aziz
- Nuclear Medicine, Oncology, and Radiotherapy Institute, Islamabad, 44000, Pakistan
| | - Helal F Hetta
- Department of Medical Microbiology and Immunology, Faculty of Medicine, Assiut University, Assiut, 71515, Egypt
| | - Khalid Muhammad
- Department of Biology, College of Science, United Arab Emirates University, 15551, Al Ain, United Arab Emirates.
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Ahmad S, Waheed Y, Ismail S, Najmi MH, Ansari JK. Rational design of potent anti-COVID-19 main protease drugs: An extensive multi-spectrum in silico approach. J Mol Liq 2021; 330:115636. [PMID: 33612899 PMCID: PMC7879066 DOI: 10.1016/j.molliq.2021.115636] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Revised: 02/02/2021] [Accepted: 02/08/2021] [Indexed: 02/07/2023]
Abstract
The emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) as a novel coronavirus and the etiological agent of global pandemic coronavirus disease (COVID-19) requires quick development of potential therapeutic strategies. Computer aided drug design approaches are highly efficient in identifying promising drug candidates among an available pool of biological active antivirals with safe pharmacokinetics. The main protease (MPro) enzyme of SARS-CoV-2 is considered key in virus production and its crystal structures are available at excellent resolution. This marks the enzyme as a good starting receptor to conduct an extensive structure-based virtual screening (SBVS) of ASINEX antiviral library for the purpose of uncovering valuable hits against SARS-CoV-2 MPro. A compound hit (BBB_26580140) was stand out in the screening process, as opposed to the control, as a potential inhibitor of SARS-CoV-2 MPro based on a combined approach of SBVS, drug likeness and lead likeness annotations, pharmacokinetics, molecular dynamics (MD) simulations, and end point MM-PBSA binding free energy methods. The lead was further used in ligand-based similarity search (LBSS) that found 33 similar compounds from the ChEMBL database. A set of three compounds (SCHEMBL12616233, SCHEMBL18616095, and SCHEMBL20148701), based on their binding affinity for MPro, was selected and analyzed using extensive MD simulation, hydrogen bond profiling, MM-PBSA, and WaterSwap binding free energy techniques. The compounds conformation with MPro show good stability after initial within active cavity moves, a rich intermolecular network of chemical interactions, and reliable relative and absolute binding free energies. Findings of the study suggested the use of BBB_26580140 lead and its similar analogs to be explored in vivo which might pave the path for rational drug discovery against SARS-CoV-2 MPro.
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Affiliation(s)
- Sajjad Ahmad
- Foundation University Medical College, Foundation University Islamabad, Islambad, Pakistan
| | - Yasir Waheed
- Foundation University Medical College, Foundation University Islamabad, Islambad, Pakistan
| | - Saba Ismail
- Foundation University Medical College, Foundation University Islamabad, Islambad, Pakistan
| | - Muzammil Hasan Najmi
- Foundation University Medical College, Foundation University Islamabad, Islambad, Pakistan
| | - Jawad Khaliq Ansari
- Foundation University Medical College, Foundation University Islamabad, Islambad, Pakistan
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Hetta HF, Muhammad K, Algammal AM, Ramadan H, Abdel-Rahman MS, Mabrok M, Koneru G, Elkady AA, El-Saber Batiha G, Waheed Y, Munawar N, Farghaly HSM. Mapping the effect of drugs on ACE2 as a novel target site for COVID-19 therapy. Eur Rev Med Pharmacol Sci 2021; 25:3923-3932. [PMID: 34109607 DOI: 10.26355/eurrev_202105_25963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Angiotensin converting enzyme 2 (ACE2) has potentially conflicting roles in health and disease. COVID-19 coronavirus binds to human cells via ACE2 receptor, which is expressed on almost all body organs. Boosting the ACE2 receptor levels on heart and lung cells may provide more cellular enter to virus thereby worsening the infection. Therefore, among the drug targets, ACE2 is suggested as a vital target of COVID-19 therapy. This hypothesis is based on the protective role of the drugs acting on ACE2. Therefore, this review discusses the impact and challenges of using ACE2 as a target in the current therapy of COVID-19.
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Affiliation(s)
- H F Hetta
- Department of Internal Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
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Ahmad S, Waheed Y, Ismail S, Bhatti S, Abbasi SW, Muhammad K. Structure-Based Virtual Screening Identifies Multiple Stable Binding Sites at the RecA Domains of SARS-CoV-2 Helicase Enzyme. Molecules 2021; 26:molecules26051446. [PMID: 33800013 PMCID: PMC7962107 DOI: 10.3390/molecules26051446] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2021] [Revised: 03/04/2021] [Accepted: 03/04/2021] [Indexed: 02/07/2023] Open
Abstract
With the emergence and global spread of the COVID-19 pandemic, the scientific community worldwide has focused on search for new therapeutic strategies against this disease. One such critical approach is targeting proteins such as helicases that regulate most of the SARS-CoV-2 RNA metabolism. The purpose of the current study was to predict a library of phytochemicals derived from diverse plant families with high binding affinity to SARS-CoV-2 helicase (Nsp13) enzyme. High throughput virtual screening of the Medicinal Plant Database for Drug Design (MPD3) database was performed on SARS-CoV-2 helicase using AutoDock Vina. Nilotinib, with a docking value of -9.6 kcal/mol, was chosen as a reference molecule. A compound (PubChem CID: 110143421, ZINC database ID: ZINC257223845, eMolecules: 43290531) was screened as the best binder (binding energy of -10.2 kcal/mol on average) to the enzyme by using repeated docking runs in the screening process. On inspection, the compound was disclosed to show different binding sites of the triangular pockets collectively formed by Rec1A, Rec2A, and 1B domains and a stalk domain at the base. The molecule is often bound to the ATP binding site (referred to as binding site 2) of the helicase enzyme. The compound was further discovered to fulfill drug-likeness and lead-likeness criteria, have good physicochemical and pharmacokinetics properties, and to be non-toxic. Molecular dynamic simulation analysis of the control/lead compound complexes demonstrated the formation of stable complexes with good intermolecular binding affinity. Lastly, affirmation of the docking simulation studies was accomplished by estimating the binding free energy by MMPB/GBSA technique. Taken together, these findings present further in silco investigation of plant-derived lead compounds to effectively address COVID-19.
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Affiliation(s)
- Sajjad Ahmad
- Foundation University Medical College, Foundation University Islamabad, DHA-I, Islamabad 44000, Pakistan; (S.A.); (S.I.)
- Department of Health and Biological Sciences, Abasyn University, Peshawar 25000, Pakistan
| | - Yasir Waheed
- Foundation University Medical College, Foundation University Islamabad, DHA-I, Islamabad 44000, Pakistan; (S.A.); (S.I.)
- Correspondence: (Y.W.); (K.M.)
| | - Saba Ismail
- Foundation University Medical College, Foundation University Islamabad, DHA-I, Islamabad 44000, Pakistan; (S.A.); (S.I.)
| | - Saadia Bhatti
- Department of Biochemistry, Faculty of Biological Sciences, Quaid-i-Azam University, Islamabad 44000, Pakistan;
| | - Sumra Wajid Abbasi
- NUMS Department of Biological Sciences, National University of Medical Sciences, Abid Majeed Rd, The Mall, Rawalpindi 46000, Pakistan;
| | - Khalid Muhammad
- Department of Biology, College of Science, United Arab Emirates University, Al Ain 15551, United Arab Emirates
- Correspondence: (Y.W.); (K.M.)
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Ahmad S, Waheed Y, Ismail S, Abbasi SW, Najmi MH. A computational study to disclose potential drugs and vaccine ensemble for COVID-19 conundrum. J Mol Liq 2021; 324:114734. [PMID: 33199930 PMCID: PMC7654302 DOI: 10.1016/j.molliq.2020.114734] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Revised: 11/01/2020] [Accepted: 11/05/2020] [Indexed: 02/07/2023]
Abstract
The nucleocapsid (N) protein of SARS-COV-2, a virus responsible for the current COVID-19 pandemic, is considered a potential candidate for the design of new drugs and vaccines. The protein is central to several critical events in virus production, with its highly druggable nature and rich antigenic determinants making it an excellent anti-viral biomolecule. Docking-based virtual screening using the Asinex anti-viral library identified binding of drug molecules at three specific positions: loop 1 region, loop 2 region and β-sheet core pockets, the loop 2 region being the most common binding and stable site for the bulk of the molecules. In parallel, the protein was characterized by vaccine design perspective and harboured three potential B cell-derived T cell epitopes: PINTNSSPD, GVPINTNSS, and DHIGTRNPA. The epitopes are highly antigenic, virulent, non-allergic, non-toxic, bind with good affinity to the highly prevalent DRB*0101 allele and show an average population coverage of 95.04%. A multi-epitope vaccine ensemble which was 83 amino acids long was created. This was highly immunogenic, robust in generating both humoral and cellular immune responses, thermally stable, and had good physicochemical properties that could be easily analyzed in in vivo and in vitro studies. Conformational dynamics of both drug and vaccine ensemble with respect to the receptors are energetically stable, shedding light on favourable conformation and chemical interactions. These facts were validated by subjecting the complexes to relative and absolute binding free energy methods of MMGB/PBSA and WaterSwap. A strong agreement on the system stability was disclosed that supported ligand high affinity potential for the receptors. Collectively, this work sought to provide preliminary experimental data of existing anti-viral drugs as a possible therapy for COVID-19 infections and a new peptide-based vaccine for protection against this pandemic virus.
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Affiliation(s)
- Sajjad Ahmad
- Foundation University Medical College, Foundation University Islamabad, DHA-I, Islamabad 44000, Pakistan
| | - Yasir Waheed
- Foundation University Medical College, Foundation University Islamabad, DHA-I, Islamabad 44000, Pakistan
| | - Saba Ismail
- Foundation University Medical College, Foundation University Islamabad, DHA-I, Islamabad 44000, Pakistan
| | - Sumra Wajid Abbasi
- NUMS Department of Biological Sciences, National University of Medical Sciences, Abid Majeed Rd, The Mall, Rawalpindi, Pakistan
| | - Muzammil Hasan Najmi
- Foundation University Medical College, Foundation University Islamabad, DHA-I, Islamabad 44000, Pakistan
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Hetta HF, Muhammad K, El-Masry EA, Taha AE, Ahmed EA, Phares C, Kader HA, Waheed Y, Zahran AM, Yahia R, Meshaal AK, El-Saber Batiha G. The interplay between vitamin D and COVID-19: protective or bystander? Eur Rev Med Pharmacol Sci 2021; 25:2131-2145. [PMID: 33660833 DOI: 10.26355/eurrev_202102_25119] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The world is currently facing the COVID-19 pandemic, caused by the novel Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2). Due to a lack of specific treatment and prophylaxis, protective health measures that can reduce infection severity and COVID-19 mortality are urgently required. Clinical and epidemiological studies have shown that vitamin D deficiency can be linked to an increased risk of viral infection, including COVID-19. Therefore, in this review, we looked at various possible roles of vitamin D in reducing the risk of COVID-19 infection and severity. We describe in this article that individuals at high risk of vitamin D deficiency should consider taking vitamin D supplements to keep optimal concentrations. Moreover, we discuss different possible mechanisms by which vitamin D can efficiently reduce the risk of infections through modulation of innate and adaptive immunity against various types of infections. It is advisable to perform further studies addressing the observed influence of vitamin D levels to reduce the risk of COVID-19 infection and mortality.
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Affiliation(s)
- H F Hetta
- Department of Medical Microbiology and Immunology, Faculty of Medicine, Assiut University, Assiut, Egypt.
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Abstract
BACKGROUND Human immunodeficiency virus (HIV) remains a public health priority in Latin America. While the burden of HIV is historically concentrated in urban areas and high-risk groups, subnational estimates that cover multiple countries and years are missing. This paucity is partially due to incomplete vital registration (VR) systems and statistical challenges related to estimating mortality rates in areas with low numbers of HIV deaths. In this analysis, we address this gap and provide novel estimates of the HIV mortality rate and the number of HIV deaths by age group, sex, and municipality in Brazil, Colombia, Costa Rica, Ecuador, Guatemala, and Mexico. METHODS We performed an ecological study using VR data ranging from 2000 to 2017, dependent on individual country data availability. We modeled HIV mortality using a Bayesian spatially explicit mixed-effects regression model that incorporates prior information on VR completeness. We calibrated our results to the Global Burden of Disease Study 2017. RESULTS All countries displayed over a 40-fold difference in HIV mortality between municipalities with the highest and lowest age-standardized HIV mortality rate in the last year of study for men, and over a 20-fold difference for women. Despite decreases in national HIV mortality in all countries-apart from Ecuador-across the period of study, we found broad variation in relative changes in HIV mortality at the municipality level and increasing relative inequality over time in all countries. In all six countries included in this analysis, 50% or more HIV deaths were concentrated in fewer than 10% of municipalities in the latest year of study. In addition, national age patterns reflected shifts in mortality to older age groups-the median age group among decedents ranged from 30 to 45 years of age at the municipality level in Brazil, Colombia, and Mexico in 2017. CONCLUSIONS Our subnational estimates of HIV mortality revealed significant spatial variation and diverging local trends in HIV mortality over time and by age. This analysis provides a framework for incorporating data and uncertainty from incomplete VR systems and can help guide more geographically precise public health intervention to support HIV-related care and reduce HIV-related deaths.
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Abstract
The safe, highly effective measles vaccine has been recommended globally since 1974, yet in 2017 there were more than 17 million cases of measles and 83,400 deaths in children under 5 years old, and more than 99% of both occurred in low- and middle-income countries (LMICs)1-4. Globally comparable, annual, local estimates of routine first-dose measles-containing vaccine (MCV1) coverage are critical for understanding geographically precise immunity patterns, progress towards the targets of the Global Vaccine Action Plan (GVAP), and high-risk areas amid disruptions to vaccination programmes caused by coronavirus disease 2019 (COVID-19)5-8. Here we generated annual estimates of routine childhood MCV1 coverage at 5 × 5-km2 pixel and second administrative levels from 2000 to 2019 in 101 LMICs, quantified geographical inequality and assessed vaccination status by geographical remoteness. After widespread MCV1 gains from 2000 to 2010, coverage regressed in more than half of the districts between 2010 and 2019, leaving many LMICs far from the GVAP goal of 80% coverage in all districts by 2019. MCV1 coverage was lower in rural than in urban locations, although a larger proportion of unvaccinated children overall lived in urban locations; strategies to provide essential vaccination services should address both geographical contexts. These results provide a tool for decision-makers to strengthen routine MCV1 immunization programmes and provide equitable disease protection for all children.
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Hetta HF, Mohamed AAA, Zahran AM, A Mahran S, MY Sayed M, GA Saleh M, Abdelazeem K, Batiha GES, Al-Rejaie S, Waheed Y, Muhammad K, M Hassanien M. Possible Role of Regulatory B Cells in Different Behçet's Disease Phenotypes and Therapies: First Report from Egypt. J Inflamm Res 2021; 14:737-744. [PMID: 33727848 PMCID: PMC7955029 DOI: 10.2147/jir.s279912] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Accepted: 01/28/2021] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND AND AIM The data about the role of regulatory B cells (Breg) in Behcet Disease (BD) are scarce. We aimed to evaluate the frequency of total B lymphocytes and Breg cells in different BD phenotypes and therapies attempting to unravel their function. METHODS This cross-sectional study included 35 BD patients and 39 healthy controls (HCs). The demographic data of the study subjects were collected including age and gender. Current medications including disease-modifying anti-rheumatic drugs (DMARDs) were recorded. All patients underwent testing for baseline laboratory investigations including full blood count, liver and kidney function tests, erythrocyte sedimentation rate (ESR) by Westergren blot and C-reactive protein (CRP). Measurement of the total B lymphocytes and their subtypes B regulatory lymphocytes by flow cytometric assay. Assessment of BD activity was done using the revised Behçet's Disease Current Activity Form (BDCAF) 2006 and Behçet's Syndrome Activity Score (BSAS) 1111111111. All participants were assessed for the presence of erectile dysfunction using the International Index of Erectile Function (IIEF-5 score), and for depression using the Beck Depression Inventory. RESULTS A dramatic drop in the number of B cells, total and regulatory, was observed in the patients compared to the HCs. Regulatory cells (Bregs) tend to be upregulated with genital ulcers or vascular disease. Bregs but not B lymphocytes were associated with BSAS and ESR. Neither the total B lymphocytes nor the Bregs correlated with CRP or the sexual function or depression scores. Of all the used medications, low-dose aspirin was seen with markedly high Bregs proportions. CONCLUSION This study supports the role of B cells in BD pathogenesis and strongly suggests a possible role for Bregs in the resolution of different BD manifestations.
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Affiliation(s)
- Helal F Hetta
- Department of Medical Microbiology and Immunology, Faculty of Medicine, Assiut University, Assiut, Egypt
- Department of Internal Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Correspondence: Helal F Hetta Department of Medical Microbiology and Immunology, Faculty of Medicine, Assiut University, Assiut, 71515, Egypt Email
| | - Alaa A A Mohamed
- Rheumatology and Rehabilitation Department, Faculty of Medicine, Assiut University, Assiut, Egypt
| | - Asmaa M Zahran
- Clinical Pathology Department, South Egypt Cancer Institute, Assiut University, Assiut, Egypt
| | - Safaa A Mahran
- Rheumatology and Rehabilitation Department, Faculty of Medicine, Assiut University, Assiut, Egypt
| | - Marwa MY Sayed
- Department of Cardiology, Faculty of Medicine, Assiut University, Assiut, Egypt
| | - Mohamed GA Saleh
- Department of Ophthalmology, Faculty of Medicine, Assiut University, Assiut, 71515, Egypt
| | - Khaled Abdelazeem
- Department of Ophthalmology, Faculty of Medicine, Assiut University, Assiut, 71515, Egypt
| | - Gaber El-Saber Batiha
- Department of Pharmacology and Therapeutics, Faculty of Veterinary Medicines, Damanhour University, Damanhur, 22511, Egypt
| | - Salim Al-Rejaie
- Department of Pharmacology & Toxicology, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Yasir Waheed
- Foundation University Medical College, Foundation University Islamabad, Islamabad, 44000, Pakistan
| | - Khalid Muhammad
- Department of Biology, College of Science, United Arab Emirates University, Al Ain, 15551, United Arab Emirates
| | - Manal M Hassanien
- Rheumatology and Rehabilitation Department, Faculty of Medicine, Assiut University, Assiut, Egypt
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Jamil Z, Khalid S, Abbasi S, Waheed Y, Ahmed J. Clinical outcomes of moderate to severe COVID-19 patients receiving invasive vs. non-invasive ventilation. ASIAN PAC J TROP MED 2021. [DOI: 10.4103/1995-7645.312518] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
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Zahran AM, Hetta HF, Zahran ZAM, Rashad A, Rayan A, Mohamed DO, Elhameed ZAA, Khallaf SM, Batiha GES, Waheed Y, Muhammad K, Nafady-Hego H. Prognostic Role of Monocytic Myeloid-Derived Suppressor Cells in Advanced Non-Small-Cell Lung Cancer: Relation to Different Hematologic Indices. J Immunol Res 2021; 2021:3241150. [PMID: 34671684 PMCID: PMC8523286 DOI: 10.1155/2021/3241150] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 09/20/2021] [Accepted: 09/22/2021] [Indexed: 02/07/2023] Open
Abstract
METHODS We recruited 40 cases of advanced NSCLC, stages III and IV, aged > 18-<70 years old, and eligible to receive chemotherapy with or without radiotherapy, along with 20 healthy controls of comparable age and sex; after diagnosis and staging of patients, blood samples were collected for flow cytometric detection of Mo-MDSCs. RESULTS Significant accumulation of Mo-MDSCs in patients compared to their controls (p < 0.0001). Furthermore, these cells accumulated significantly in stage IV compared to stage III (p = 0.006) and correlated negatively with overall survival (r = -0.471, p = 0.002), lymphocyte to monocyte ratio (r = -0.446, p = 0.004), and mean platelet volume to platelet count ratio (MPV/PC) (r = -0.464, p = 0.003), patients with Mo-MDSCs < 13% had significantly better survival than those with Mo-MDSCs ≥ 13% (p = 0.041). CONCLUSION Mo-MDSCs represent one of the key mechanisms in the immunosuppressive tumor microenvironment (TME) to play major roles not only in the carcinogenesis of lung cancer but also in disease progression and prognosis and, in addition, predict the efficacy of immune checkpoint inhibitors; our results provided some support to target Mo-MDSCs and needed to be augmented by further studies.
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Affiliation(s)
- Asmaa M. Zahran
- 1Clinical Pathology Department, South Egypt Cancer Institute, Assiut University, Egypt
| | - Helal F. Hetta
- 2Department of Medical Microbiology and Immunology, Faculty of Medicine, Assiut University, Assiut 71526, Egypt
| | | | - Alaa Rashad
- 4Department of Chest Diseases and Tuberculosis, Qena Faculty of Medicine, South Valley University, Egypt
| | - Amal Rayan
- 5Clinical Oncology Department, Faculty of Medicine, Assiut University, Egypt
| | - Dalia O. Mohamed
- 6Radiation Oncology Department, South Egypt Cancer Institute, Assiut University, Egypt
| | | | - Salah M. Khallaf
- 7Medical Oncology Department, South Egypt Cancer Institute, Assiut University, Egypt
| | - Gaber El-Saber Batiha
- 8Department of Pharmacology and Toxicology, Faculty of Veterinary Medicine, Damanhour University, Damanhour City, Egypt
| | - Yasir Waheed
- 9Foundation University Medical College, Foundation University Islamabad, Islamabad 44000, Pakistan
| | - Khalid Muhammad
- 10Department of Biology, College of Science, United Arab Emirates University, Al Ain 15551, UAE
| | - Hanaa Nafady-Hego
- 2Department of Medical Microbiology and Immunology, Faculty of Medicine, Assiut University, Assiut 71526, Egypt
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Roth GA, Mensah GA, Johnson CO, Addolorato G, Ammirati E, Baddour LM, Barengo NC, Beaton AZ, Benjamin EJ, Benziger CP, Bonny A, Brauer M, Brodmann M, Cahill TJ, Carapetis J, Catapano AL, Chugh SS, Cooper LT, Coresh J, Criqui M, DeCleene N, Eagle KA, Emmons-Bell S, Feigin VL, Fernández-Solà J, Fowkes G, Gakidou E, Grundy SM, He FJ, Howard G, Hu F, Inker L, Karthikeyan G, Kassebaum N, Koroshetz W, Lavie C, Lloyd-Jones D, Lu HS, Mirijello A, Temesgen AM, Mokdad A, Moran AE, Muntner P, Narula J, Neal B, Ntsekhe M, Moraes de Oliveira G, Otto C, Owolabi M, Pratt M, Rajagopalan S, Reitsma M, Ribeiro ALP, Rigotti N, Rodgers A, Sable C, Shakil S, Sliwa-Hahnle K, Stark B, Sundström J, Timpel P, Tleyjeh IM, Valgimigli M, Vos T, Whelton PK, Yacoub M, Zuhlke L, Murray C, Fuster V. Global Burden of Cardiovascular Diseases and Risk Factors, 1990-2019: Update From the GBD 2019 Study. J Am Coll Cardiol 2020; 76:2982-3021. [PMID: 33309175 PMCID: PMC7755038 DOI: 10.1016/j.jacc.2020.11.010] [Citation(s) in RCA: 3618] [Impact Index Per Article: 904.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 11/06/2020] [Accepted: 11/06/2020] [Indexed: 02/07/2023]
Abstract
Cardiovascular diseases (CVDs), principally ischemic heart disease (IHD) and stroke, are the leading cause of global mortality and a major contributor to disability. This paper reviews the magnitude of total CVD burden, including 13 underlying causes of cardiovascular death and 9 related risk factors, using estimates from the Global Burden of Disease (GBD) Study 2019. GBD, an ongoing multinational collaboration to provide comparable and consistent estimates of population health over time, used all available population-level data sources on incidence, prevalence, case fatality, mortality, and health risks to produce estimates for 204 countries and territories from 1990 to 2019. Prevalent cases of total CVD nearly doubled from 271 million (95% uncertainty interval [UI]: 257 to 285 million) in 1990 to 523 million (95% UI: 497 to 550 million) in 2019, and the number of CVD deaths steadily increased from 12.1 million (95% UI:11.4 to 12.6 million) in 1990, reaching 18.6 million (95% UI: 17.1 to 19.7 million) in 2019. The global trends for disability-adjusted life years (DALYs) and years of life lost also increased significantly, and years lived with disability doubled from 17.7 million (95% UI: 12.9 to 22.5 million) to 34.4 million (95% UI:24.9 to 43.6 million) over that period. The total number of DALYs due to IHD has risen steadily since 1990, reaching 182 million (95% UI: 170 to 194 million) DALYs, 9.14 million (95% UI: 8.40 to 9.74 million) deaths in the year 2019, and 197 million (95% UI: 178 to 220 million) prevalent cases of IHD in 2019. The total number of DALYs due to stroke has risen steadily since 1990, reaching 143 million (95% UI: 133 to 153 million) DALYs, 6.55 million (95% UI: 6.00 to 7.02 million) deaths in the year 2019, and 101 million (95% UI: 93.2 to 111 million) prevalent cases of stroke in 2019. Cardiovascular diseases remain the leading cause of disease burden in the world. CVD burden continues its decades-long rise for almost all countries outside high-income countries, and alarmingly, the age-standardized rate of CVD has begun to rise in some locations where it was previously declining in high-income countries. There is an urgent need to focus on implementing existing cost-effective policies and interventions if the world is to meet the targets for Sustainable Development Goal 3 and achieve a 30% reduction in premature mortality due to noncommunicable diseases.
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Affiliation(s)
| | - George A Mensah
- National Heart, Lung, and Blood Institute (NHLBI), Bethesda, Maryland, USA.
| | - Catherine O Johnson
- University of Washington, Institute for Health Metrics and Evaluation, Seattle, Washington, USA
| | | | - Enrico Ammirati
- De Gasperis Cardio Center and Transplant Center, Niguarda Hospital, Milan, Italy
| | | | - Noël C Barengo
- Herbert Wertheim College of Medicine, Florida International University, Miami, Florida, USA
| | | | - Emelia J Benjamin
- Boston University School of Public Health, Boston, Massachusetts, USA
| | | | - Aimé Bonny
- District Hospital of Bonassama-University of Douala, Douala, Cameroon
| | - Michael Brauer
- University of British Columbia, Vancouver, British Columbia, Canada
| | | | | | | | | | - Sumeet S Chugh
- Cedars-Sinai, Smidt Heart Institute, Los Angeles, California, USA
| | | | - Josef Coresh
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Michael Criqui
- University of California at San Diego, San Diego, California, USA
| | - Nicole DeCleene
- The University of Michigan Samuel and Jean Frankel Cardiovascular Center, Ann Arbor, Michigan, USA
| | - Kim A Eagle
- The University of Michigan Samuel and Jean Frankel Cardiovascular Center, Ann Arbor, Michigan, USA
| | - Sophia Emmons-Bell
- University of Washington, Institute for Health Metrics and Evaluation, Seattle, Washington, USA
| | | | | | - Gerry Fowkes
- University of Edinburgh, Edinburgh, United Kingdom
| | | | - Scott M Grundy
- University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Feng J He
- Queen Mary University of London, London, United Kingdom
| | - George Howard
- University of Alabama at Birmingham School of Public Health, Birmingham, Alabama, USA
| | - Frank Hu
- Harvard Medical School, Boston, Massachusetts, USA
| | - Lesley Inker
- Tufts Medical Center, Boston, Massachusetts, USA
| | - Ganesan Karthikeyan
- Cardiothoracic Sciences Centre, All India Institute of Medical Sciences, New Delhi, India
| | | | - Walter Koroshetz
- National Institute of Neurological Disorders and Stroke, Bethesda, Maryland, USA
| | - Carl Lavie
- Ochsner Health, New Orleans, Louisiana, USA
| | - Donald Lloyd-Jones
- Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Hong S Lu
- University of Kentucky College of Medicine, Lexington, Kentucky, USA
| | - Antonio Mirijello
- IRCCS Casa Sollievo della Sofferenza Hospital, Department of Medical Sciences, San Giovanni Rotondo, Italy
| | - Awoke Misganaw Temesgen
- University of Washington, Institute for Health Metrics and Evaluation, Seattle, Washington, USA
| | - Ali Mokdad
- University of Washington, Institute for Health Metrics and Evaluation, Seattle, Washington, USA
| | - Andrew E Moran
- Columbia University Irving Medical Center, New York, New York, USA
| | - Paul Muntner
- University of Alabama at Birmingham School of Public Health, Birmingham, Alabama, USA
| | - Jagat Narula
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Bruce Neal
- The University of Sydney School of Medicine, Sydney, New South Wales, Australia
| | | | | | | | | | - Michael Pratt
- University of California at San Diego, San Diego, California, USA
| | - Sanjay Rajagopalan
- Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
| | - Marissa Reitsma
- Stanford University School of Medicine, Stanford, California, USA
| | | | - Nancy Rigotti
- Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Anthony Rodgers
- The George Institute for Global Health, Newtown, New South Wales, Australia; Imperial College of London, London, United Kingdom
| | - Craig Sable
- Children's National Hospital, Washington, DC, USA
| | - Saate Shakil
- University of Washington, Seattle, Washington, USA
| | | | | | | | | | | | | | - Theo Vos
- University of Washington, Seattle, Washington, USA
| | - Paul K Whelton
- Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA
| | - Magdi Yacoub
- Imperial College of London, London, United Kingdom
| | - Liesl Zuhlke
- University of Cape Town, Cape Town, South Africa
| | - Christopher Murray
- University of Washington, Institute for Health Metrics and Evaluation, Seattle, Washington, USA
| | - Valentin Fuster
- Icahn School of Medicine at Mount Sinai, New York, New York, USA; Centro Nacional de Investigaciones Cardiovasculares, Madrid, Spain
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Jamil Z, Waheed Y, Ahsan O, Najmi MH, Yousuf H. Familial clustering of hepatitis C virus in a Pakistani population. J Med Virol 2020; 92:3499-3506. [PMID: 32320089 DOI: 10.1002/jmv.25926] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Accepted: 04/18/2020] [Indexed: 02/05/2023]
Abstract
Pakistan has the second-highest burden of hepatitis C patients in the world. A total of 683 individuals, who visited the Liver Clinic during the study period, were screened for the presence of hepatitis C virus (HCV) infection. A total of 534 individuals who showed positive HCV infection were grouped into the case group and 149 individuals with HCV negative status were grouped into the control group. A detailed questionnaire was used to collect demographic, clinical, HCV risk factor, and familial clustering data. HCV familial clustering was found in 30.1% in the case group compared with 17.4% in the control group. We also found 17% of patients had spouses who were also infected with HCV compared to 4% spouse infection in the control group. Only 3.7% of patients had HCV positive mothers. These results were further expanded by regression analysis that showed that family history and sexual history are independent risk factors for transmission of hepatitis C infection and mother's history has no significance as a risk factor for transmission. The major risk factor for getting HCV infection are dental procedures, unsafe injections, surgery, and blood transfusions. There is a strong need to increase awareness about HCV transmission routes among positive patients to reduce the chances of HCV familial clustering.
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Affiliation(s)
- Zubia Jamil
- Department of Medicine, Foundation University Medical College, Foundation University Islamabad, Islamabad, Pakistan
| | - Yasir Waheed
- Multidisciplinary Lab, Foundation University Medical College, Foundation University Islamabad, Islamabad, Pakistan
| | - Omar Ahsan
- Department of Medicine, Foundation University Medical College, Foundation University Islamabad, Islamabad, Pakistan
| | - Muzammil H Najmi
- Department of Pharmacology and Therapeutics, Foundation University Medical College, Foundation University Islamabad, Islamabad, Pakistan
| | - Hamid Yousuf
- Department of Medicine, Besti Cadwaladar University Health Board, North Wales, UK
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Lozano R, Fullman N, Mumford JE, Knight M, Barthelemy CM, Abbafati C, Abbastabar H, Abd-Allah F, Abdollahi M, Abedi A, Abolhassani H, Abosetugn AE, Abreu LG, Abrigo MRM, Abu Haimed AK, Abushouk AI, Adabi M, Adebayo OM, Adekanmbi V, Adelson J, Adetokunboh OO, Adham D, Advani SM, Afshin A, Agarwal G, Agasthi P, Aghamir SMK, Agrawal A, Ahmad T, Akinyemi RO, Alahdab F, Al-Aly Z, Alam K, Albertson SB, Alemu YM, Alhassan RK, Ali M, Ali S, Alipour V, Aljunid SM, Alla F, Almadi MAH, Almasi A, Almasi-Hashiani A, Almasri NA, Al-Mekhlafi HM, Almulhim AM, Alonso J, Al-Raddadi RM, Altirkawi KA, Alvis-Guzman N, Alvis-Zakzuk NJ, Amini S, Amini-Rarani M, Amiri F, Amit AML, Amugsi DA, Ancuceanu R, Anderlini D, Andrei CL, Androudi S, Ansari F, Ansari-Moghaddam A, Antonio CAT, Antony CM, Antriyandarti E, Anvari D, Anwer R, Arabloo J, Arab-Zozani M, Aravkin AY, Aremu O, Ärnlöv J, Asaad M, Asadi-Aliabadi M, Asadi-Pooya AA, Ashbaugh C, Athari SS, Atout MMW, Ausloos M, Avila-Burgos L, Ayala Quintanilla BP, Ayano G, Ayanore MA, Aynalem YA, Aynalem GL, Ayza MA, Azari S, Azzopardi PS, B DB, Babaee E, Badiye AD, Bahrami MA, Baig AA, Bakhshaei MH, Bakhtiari A, Bakkannavar SM, Balachandran A, Balassyano S, Banach M, Banerjee SK, Banik PC, Bante AB, Bante SA, Barker-Collo SL, Bärnighausen TW, Barrero LH, Bassat Q, Basu S, Baune BT, Bayati M, Baye BA, Bedi N, Beghi E, Behzadifar M, Bekuma TTT, Bell ML, Bensenor IM, Berman AE, Bernabe E, Bernstein RS, Bhagavathula AS, Bhandari D, Bhardwaj P, Bhat AG, Bhattacharyya K, Bhattarai S, Bhutta ZA, Bijani A, Bikbov B, Bilano V, Biondi A, Birihane BM, Bockarie MJ, Bohlouli S, Bojia HA, Bolla SRR, Boloor A, Brady OJ, Braithwaite D, Briant PS, Briggs AM, Briko NI, Burugina Nagaraja S, Busse R, Butt ZA, Caetano dos Santos FL, Cahuana-Hurtado L, Cámera LA, Cárdenas R, Carreras G, Carrero JJ, Carvalho F, Castaldelli-Maia JM, Castañeda-Orjuela CA, Castelpietra G, Castro F, Catalá-López F, Causey K, Cederroth CR, Cercy KM, Cerin E, Chandan JS, Chang AY, Charan J, Chattu VK, Chaturvedi S, Chin KL, Cho DY, Choi JYJ, Christensen H, Chu DT, Chung MT, Ciobanu LG, Cirillo M, Comfort H, Compton K, Cortesi PA, Costa VM, Cousin E, Dahlawi SMA, Damiani G, Dandona L, Dandona R, Darega Gela J, Darwesh AM, Daryani A, Dash AP, Davey G, Dávila-Cervantes CA, Davletov K, De Neve JW, Denova-Gutiérrez E, Deribe K, Dervenis N, Desai R, Dharmaratne SD, Dhungana GP, Dianatinasab M, Dias da Silva D, Diaz D, Dippenaar IN, Do HT, Dorostkar F, Doshmangir L, Duncan BB, Duraes AR, Eagan AW, Edvardsson D, El Sayed I, El Tantawi M, Elgendy IY, Elyazar IRF, Eskandari K, Eskandarieh S, Esmaeilnejad S, Esteghamati A, Ezekannagha O, Farag T, Farahmand M, Faraon EJA, Farinha CSES, Farioli A, Faris PS, Faro A, Fazlzadeh M, Feigin VL, Fernandes E, Ferrara P, Feyissa GT, Filip I, Fischer F, Fisher JL, Flor LS, Foigt NA, Folayan MO, Fomenkov AA, Foroutan M, Francis JM, Fu W, Fukumoto T, Furtado JM, Gad MM, Gaidhane AM, Gakidou E, Galles NC, Gallus S, Gardner WM, Geberemariyam BS, Gebrehiwot AM, Gebremeskel LG, Gebremeskel GG, Gesesew HA, Ghadiri K, Ghafourifard M, Ghashghaee A, Ghith N, Gholamian A, Gilani SA, Gill PS, Gill TK, Ginindza TG, Gitimoghaddam M, Giussani G, Glagn M, Gnedovskaya EV, Godinho MA, Goharinezhad S, Gopalani SV, Goudarzian AH, Goulart BNG, Gubari MIM, Guimarães RA, Guled RA, Gultie T, Guo Y, Gupta R, Gupta R, Hafezi-Nejad N, Hafiz A, Haile TG, Hamadeh RR, Hameed S, Hamidi S, Han C, Han H, Handiso DW, Hanif A, Hankey GJ, Haro JM, Hasaballah AI, Hasan MM, Hashi A, Hassan S, Hassan A, Hassanipour S, Hassankhani H, Havmoeller RJ, Hay SI, Hayat K, Heidari G, Heidari-Soureshjani R, Hendrie D, Herteliu C, Hird TR, Ho HC, Hole MK, Holla R, Hollingsworth B, Hoogar P, Hopf KP, Horita N, Hossain N, Hosseini M, Hosseinzadeh M, Hostiuc M, Hostiuc S, Househ M, Hsieh VCR, Hu G, Huda TM, Humayun A, Hwang BF, Iavicoli I, Ibitoye SE, Ikeda N, Ilesanmi OS, Ilic IM, Ilic MD, Inbaraj LR, Iqbal U, Irvani SSN, Irvine CMS, Islam MM, Islam SMS, Islami F, Iso H, Iwu CJ, Iwu CCD, Jaafari J, Jadidi-Niaragh F, Jafarinia M, Jahagirdar D, Jahani MA, Jahanmehr N, Jakovljevic M, Janjani H, Javaheri T, Jayatilleke AU, Jenabi E, Jha RP, Jha V, Ji JS, Jia P, John-Akinola YO, Jonas JB, Joukar F, Jozwiak JJ, Jürisson M, Kabir Z, Kalankesh LR, Kalhor R, Kamath AM, Kanchan T, Kapoor N, Karami Matin B, Karanikolos M, Karimi SM, Kassebaum NJ, Katikireddi SV, Kayode GA, Keiyoro PN, Khader YS, Khammarnia M, Khan M, Khan EA, Khang YH, Khatab K, Khater AM, Khater MM, Khatib MN, Khayamzadeh M, Khubchandani J, Kianipour N, Kim YE, Kim YJ, Kimokoti RW, Kinfu Y, Kisa A, Kissimova-Skarbek K, Kivimäki M, Kneib CJ, Kocarnik JM, Kochhar S, Kohler S, Kopec JA, Korotkova AV, Korshunov VA, Kosen S, Kotlo A, Koul PA, Koyanagi A, Krishan K, Krohn KJ, Kugbey N, Kulkarni V, Kumar GA, Kumar N, Kumar M, Kurmi OP, Kusuma D, Kyu HH, La Vecchia C, Lacey B, Lal DK, Lalloo R, Landires I, Lansingh VC, Larsson AO, Lasrado S, Lau KMM, Lauriola P, Lazarus JV, Ledesma JR, Lee PH, Lee SWH, Leever AT, LeGrand KE, Leigh J, Leonardi M, Li S, Lim SS, Lim LL, Liu X, Logroscino G, Lopez AD, Lopukhov PD, Lotufo PA, Lu A, Ma J, Madadin M, Mahasha PW, Mahmoudi M, Majeed A, Malagón-Rojas JN, Maleki S, Malta DC, Mansouri B, Mansournia MA, Martini S, Martins-Melo FR, Martopullo I, Massenburg BB, Mastrogiacomo CI, Mathur MR, McAlinden C, McKee M, Medina-Solís CE, Meharie BG, Mehndiratta MM, Mehrabi Nasab E, Mehri F, Mehrotra R, Mekonnen T, Melese A, Memiah PTN, Mendoza W, Menezes RG, Mensah GA, Meretoja TJ, Meretoja A, Mestrovic T, Miazgowski B, Michalek IM, Mirrakhimov EM, Mirzaei M, Mirzaei-Alavijeh M, Mitchell PB, Moazen B, Moghadaszadeh M, Mohamadi E, Mohammad Y, Mohammad DK, Mohammad Gholi Mezerji N, Mohammadian-Hafshejani A, Mohammed S, Mohammed JA, Mokdad AH, Monasta L, Mondello S, Moradi M, Moradi-Lakeh M, Moradzadeh R, Moraga P, Morgado-da-Costa J, Morrison SD, Mosapour A, Mosser JF, Mousavi Khaneghah A, Muriithi MK, Mustafa G, Nabhan AF, Naderi M, Nagarajan AJ, Naghavi M, Naghshtabrizi B, Naimzada MD, Nangia V, Nansseu JR, Nayak VC, Nazari J, Ndejjo R, Negoi I, Negoi RI, Neupane S, Ngari KN, Nguefack-Tsague G, Ngunjiri JW, Nguyen CT, Nguyen DN, Nguyen HLT, Nnaji CA, Nomura S, Norheim OF, Noubiap JJ, Nowak C, Nunez-Samudio V, Otoiu A, Ogbo FA, Oghenetega OB, Oh IH, Okunga EW, Oladnabi M, Olagunju AT, Olusanya JO, Olusanya BO, Oluwasanu MM, Omar Bali A, Omer MO, Ong KL, Onwujekwe OE, Ortega-Altamirano DVV, Ortiz A, Ostojic SM, Otstavnov N, Otstavnov SS, Øverland S, Owolabi MO, Padubidri JR, Pakhale S, Palladino R, Pana A, Panda-Jonas S, Pangaribuan HU, Pathak M, Patton GC, Paudel S, Pazoki Toroudi H, Pease SA, Peden AE, Pennini A, Peprah EK, Pereira J, Pigott DM, Pilgrim T, Pilz TM, Pinheiro M, Piradov MA, Pirsaheb M, Pokhrel KN, Postma MJ, Pourjafar H, Pourmalek F, Pourmirza Kalhori R, Pourshams A, Prada SI, Pribadi DRA, Pupillo E, Quazi Syed Z, Radfar A, Rafiee A, Rafiei A, Raggi A, Rahim F, Rahman MA, Rajabpour-Sanati A, Rana SM, Ranabhat CL, Rao SJ, Rasella D, Rashedi V, Rath GK, Rathi P, Rawaf S, Rawaf DL, Rawal L, Rawassizadeh R, Razo C, Renjith V, Renzaho AMN, Reshmi B, Rezaei N, Riahi SM, Ribeiro DC, Rickard J, Roberts NLS, Roever L, Romoli M, Ronfani L, Roshandel G, Rubagotti E, Rwegerera GM, Sabour S, Sachdev PS, Saddik B, Sadeghi M, Sadeghi E, Safari Y, Sagar R, Sahebkar A, Sahraian MA, Sajadi SM, Salahshoor MR, Salem MRR, Salem H, Salomon J, Samadi Kafil H, Samy AM, Sanabria J, Santric-Milicevic MM, Saraswathy SYI, Sarmiento-Suárez R, Sartorius B, Sarveazad A, Sathian B, Sathish T, Sattin D, Savic M, Sawyer SM, Saxena D, Sbarra AN, Schaeffer LE, Schiavolin S, Schmidt MI, Schutte AE, Schwebel DC, Schwendicke F, Seedat S, Sha F, Shahabi S, Shaheen AA, Shaikh MA, Shamsizadeh M, Shannawaz M, Sharafi K, Sharara F, Sharifi H, Shaw DH, Sheikh A, Sheikhtaheri A, Shetty BSK, Shibuya K, Shiferaw WS, Shigematsu M, Shin JI, Shiri R, Shirkoohi R, Shivakumar KM, Shrime MG, Shuval K, Siabani S, Sierpinski R, Sigfusdottir ID, Sigurvinsdottir R, Silva DAS, Silva JP, Simonetti B, Simpson KE, Singh JA, Singh P, Sinha DN, Skryabin VY, Smith EUR, Soheili A, Soltani S, Soofi M, Sorensen RJ, Soriano JB, Sorrie MB, Soyiri IN, Spurlock EE, Sreeramareddy CT, Stanaway JD, Steel N, Stein C, Stokes MA, Sufiyan MB, Suleria HAR, Sultan I, Szumowski Ł, Tabarés-Seisdedos R, Tabuchi T, Tadakamadla SK, Taddele BW, Tadesse DB, Taherkhani A, Tamiru AT, Tanser FC, Tareque MI, Tarigan IU, Teagle WL, Tediosi F, Tefera YGG, Tela FG, Tessema ZT, Thakur B, Titova MV, Tonelli M, Topor-Madry R, Topouzis F, Tovani-Palone MRR, Tran BX, Travillian R, Troeger CE, Tudor Car L, Uddin R, Ullah I, Umeokonkwo CD, Unnikrishnan B, Upadhyay E, Uthman OA, Vacante M, Valdez PR, Varughese S, Vasankari TJ, Vasseghian Y, Venketasubramanian N, Violante FS, Vlassov V, Vollset SE, Vongpradith A, Vos T, Waheed Y, Walters MK, Wamai RG, Wang H, Wang YP, Weintraub RG, Weiss J, Werdecker A, Westerman R, Wilner LB, Woldu G, Wolfe CDA, Wu AM, Wulf Hanson S, Xie Y, Xu R, Yahyazadeh Jabbari SH, Yamagishi K, Yano Y, Yaya S, Yazdi-Feyzabadi V, Yearwood JA, Yeshitila YG, Yip P, Yonemoto N, Younis MZ, Yousefi Z, Yousefinezhadi T, Yusefzadeh H, Zadey S, Zahirian Moghadam T, Zaidi SS, Zaki L, Zaman SB, Zamani M, Zamanian M, Zandian H, Zastrozhin MS, Zewdie KA, Zhang Y, Zhao XJG, Zhao Y, Zheng P, Zhu C, Ziapour A, Zlavog BS, Zodpey S, Murray CJL. Measuring universal health coverage based on an index of effective coverage of health services in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 2020; 396:1250-1284. [PMID: 32861314 PMCID: PMC7562819 DOI: 10.1016/s0140-6736(20)30750-9] [Citation(s) in RCA: 251] [Impact Index Per Article: 62.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Revised: 03/05/2020] [Accepted: 03/23/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Achieving universal health coverage (UHC) involves all people receiving the health services they need, of high quality, without experiencing financial hardship. Making progress towards UHC is a policy priority for both countries and global institutions, as highlighted by the agenda of the UN Sustainable Development Goals (SDGs) and WHO's Thirteenth General Programme of Work (GPW13). Measuring effective coverage at the health-system level is important for understanding whether health services are aligned with countries' health profiles and are of sufficient quality to produce health gains for populations of all ages. METHODS Based on the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we assessed UHC effective coverage for 204 countries and territories from 1990 to 2019. Drawing from a measurement framework developed through WHO's GPW13 consultation, we mapped 23 effective coverage indicators to a matrix representing health service types (eg, promotion, prevention, and treatment) and five population-age groups spanning from reproductive and newborn to older adults (≥65 years). Effective coverage indicators were based on intervention coverage or outcome-based measures such as mortality-to-incidence ratios to approximate access to quality care; outcome-based measures were transformed to values on a scale of 0-100 based on the 2·5th and 97·5th percentile of location-year values. We constructed the UHC effective coverage index by weighting each effective coverage indicator relative to its associated potential health gains, as measured by disability-adjusted life-years for each location-year and population-age group. For three tests of validity (content, known-groups, and convergent), UHC effective coverage index performance was generally better than that of other UHC service coverage indices from WHO (ie, the current metric for SDG indicator 3.8.1 on UHC service coverage), the World Bank, and GBD 2017. We quantified frontiers of UHC effective coverage performance on the basis of pooled health spending per capita, representing UHC effective coverage index levels achieved in 2019 relative to country-level government health spending, prepaid private expenditures, and development assistance for health. To assess current trajectories towards the GPW13 UHC billion target-1 billion more people benefiting from UHC by 2023-we estimated additional population equivalents with UHC effective coverage from 2018 to 2023. FINDINGS Globally, performance on the UHC effective coverage index improved from 45·8 (95% uncertainty interval 44·2-47·5) in 1990 to 60·3 (58·7-61·9) in 2019, yet country-level UHC effective coverage in 2019 still spanned from 95 or higher in Japan and Iceland to lower than 25 in Somalia and the Central African Republic. Since 2010, sub-Saharan Africa showed accelerated gains on the UHC effective coverage index (at an average increase of 2·6% [1·9-3·3] per year up to 2019); by contrast, most other GBD super-regions had slowed rates of progress in 2010-2019 relative to 1990-2010. Many countries showed lagging performance on effective coverage indicators for non-communicable diseases relative to those for communicable diseases and maternal and child health, despite non-communicable diseases accounting for a greater proportion of potential health gains in 2019, suggesting that many health systems are not keeping pace with the rising non-communicable disease burden and associated population health needs. In 2019, the UHC effective coverage index was associated with pooled health spending per capita (r=0·79), although countries across the development spectrum had much lower UHC effective coverage than is potentially achievable relative to their health spending. Under maximum efficiency of translating health spending into UHC effective coverage performance, countries would need to reach $1398 pooled health spending per capita (US$ adjusted for purchasing power parity) in order to achieve 80 on the UHC effective coverage index. From 2018 to 2023, an estimated 388·9 million (358·6-421·3) more population equivalents would have UHC effective coverage, falling well short of the GPW13 target of 1 billion more people benefiting from UHC during this time. Current projections point to an estimated 3·1 billion (3·0-3·2) population equivalents still lacking UHC effective coverage in 2023, with nearly a third (968·1 million [903·5-1040·3]) residing in south Asia. INTERPRETATION The present study demonstrates the utility of measuring effective coverage and its role in supporting improved health outcomes for all people-the ultimate goal of UHC and its achievement. Global ambitions to accelerate progress on UHC service coverage are increasingly unlikely unless concerted action on non-communicable diseases occurs and countries can better translate health spending into improved performance. Focusing on effective coverage and accounting for the world's evolving health needs lays the groundwork for better understanding how close-or how far-all populations are in benefiting from UHC. FUNDING Bill & Melinda Gates Foundation.
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Abstract
BACKGROUND In an era of shifting global agendas and expanded emphasis on non-communicable diseases and injuries along with communicable diseases, sound evidence on trends by cause at the national level is essential. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) provides a systematic scientific assessment of published, publicly available, and contributed data on incidence, prevalence, and mortality for a mutually exclusive and collectively exhaustive list of diseases and injuries. METHODS GBD estimates incidence, prevalence, mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) due to 369 diseases and injuries, for two sexes, and for 204 countries and territories. Input data were extracted from censuses, household surveys, civil registration and vital statistics, disease registries, health service use, air pollution monitors, satellite imaging, disease notifications, and other sources. Cause-specific death rates and cause fractions were calculated using the Cause of Death Ensemble model and spatiotemporal Gaussian process regression. Cause-specific deaths were adjusted to match the total all-cause deaths calculated as part of the GBD population, fertility, and mortality estimates. Deaths were multiplied by standard life expectancy at each age to calculate YLLs. A Bayesian meta-regression modelling tool, DisMod-MR 2.1, was used to ensure consistency between incidence, prevalence, remission, excess mortality, and cause-specific mortality for most causes. Prevalence estimates were multiplied by disability weights for mutually exclusive sequelae of diseases and injuries to calculate YLDs. We considered results in the context of the Socio-demographic Index (SDI), a composite indicator of income per capita, years of schooling, and fertility rate in females younger than 25 years. Uncertainty intervals (UIs) were generated for every metric using the 25th and 975th ordered 1000 draw values of the posterior distribution. FINDINGS Global health has steadily improved over the past 30 years as measured by age-standardised DALY rates. After taking into account population growth and ageing, the absolute number of DALYs has remained stable. Since 2010, the pace of decline in global age-standardised DALY rates has accelerated in age groups younger than 50 years compared with the 1990-2010 time period, with the greatest annualised rate of decline occurring in the 0-9-year age group. Six infectious diseases were among the top ten causes of DALYs in children younger than 10 years in 2019: lower respiratory infections (ranked second), diarrhoeal diseases (third), malaria (fifth), meningitis (sixth), whooping cough (ninth), and sexually transmitted infections (which, in this age group, is fully accounted for by congenital syphilis; ranked tenth). In adolescents aged 10-24 years, three injury causes were among the top causes of DALYs: road injuries (ranked first), self-harm (third), and interpersonal violence (fifth). Five of the causes that were in the top ten for ages 10-24 years were also in the top ten in the 25-49-year age group: road injuries (ranked first), HIV/AIDS (second), low back pain (fourth), headache disorders (fifth), and depressive disorders (sixth). In 2019, ischaemic heart disease and stroke were the top-ranked causes of DALYs in both the 50-74-year and 75-years-and-older age groups. Since 1990, there has been a marked shift towards a greater proportion of burden due to YLDs from non-communicable diseases and injuries. In 2019, there were 11 countries where non-communicable disease and injury YLDs constituted more than half of all disease burden. Decreases in age-standardised DALY rates have accelerated over the past decade in countries at the lower end of the SDI range, while improvements have started to stagnate or even reverse in countries with higher SDI. INTERPRETATION As disability becomes an increasingly large component of disease burden and a larger component of health expenditure, greater research and development investment is needed to identify new, more effective intervention strategies. With a rapidly ageing global population, the demands on health services to deal with disabling outcomes, which increase with age, will require policy makers to anticipate these changes. The mix of universal and more geographically specific influences on health reinforces the need for regular reporting on population health in detail and by underlying cause to help decision makers to identify success stories of disease control to emulate, as well as opportunities to improve. FUNDING Bill & Melinda Gates Foundation.
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Abstract
The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 provides a rules-based synthesis of the available evidence on levels and trends in health outcomes, a diverse set of risk factors, and health system responses. GBD 2019 covered 204 countries and territories, as well as first administrative level disaggregations for 22 countries, from 1990 to 2019. Because GBD is highly standardised and comprehensive, spanning both fatal and non-fatal outcomes, and uses a mutually exclusive and collectively exhaustive list of hierarchical disease and injury causes, the study provides a powerful basis for detailed and broad insights on global health trends and emerging challenges. GBD 2019 incorporates data from 281 586 sources and provides more than 3·5 billion estimates of health outcome and health system measures of interest for global, national, and subnational policy dialogue. All GBD estimates are publicly available and adhere to the Guidelines on Accurate and Transparent Health Estimate Reporting. From this vast amount of information, five key insights that are important for health, social, and economic development strategies have been distilled. These insights are subject to the many limitations outlined in each of the component GBD capstone papers.
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Murray CJL, Aravkin AY, Zheng P, Abbafati C, Abbas KM, Abbasi-Kangevari M, Abd-Allah F, Abdelalim A, Abdollahi M, Abdollahpour I, Abegaz KH, Abolhassani H, Aboyans V, Abreu LG, Abrigo MRM, Abualhasan A, Abu-Raddad LJ, Abushouk AI, Adabi M, Adekanmbi V, Adeoye AM, Adetokunboh OO, Adham D, Advani SM, Agarwal G, Aghamir SMK, Agrawal A, Ahmad T, Ahmadi K, Ahmadi M, Ahmadieh H, Ahmed MB, Akalu TY, Akinyemi RO, Akinyemiju T, Akombi B, Akunna CJ, Alahdab F, Al-Aly Z, Alam K, Alam S, Alam T, Alanezi FM, Alanzi TM, Alemu BW, Alhabib KF, Ali M, Ali S, Alicandro G, Alinia C, Alipour V, Alizade H, Aljunid SM, Alla F, Allebeck P, Almasi-Hashiani A, Al-Mekhlafi HM, Alonso J, Altirkawi KA, Amini-Rarani M, Amiri F, Amugsi DA, Ancuceanu R, Anderlini D, Anderson JA, Andrei CL, Andrei T, Angus C, Anjomshoa M, Ansari F, Ansari-Moghaddam A, Antonazzo IC, Antonio CAT, Antony CM, Antriyandarti E, Anvari D, Anwer R, Appiah SCY, Arabloo J, Arab-Zozani M, Ariani F, Armoon B, Ärnlöv J, Arzani A, Asadi-Aliabadi M, Asadi-Pooya AA, Ashbaugh C, Assmus M, Atafar Z, Atnafu DD, Atout MMW, Ausloos F, Ausloos M, Ayala Quintanilla BP, Ayano G, Ayanore MA, Azari S, Azarian G, Azene ZN, Badawi A, Badiye AD, Bahrami MA, Bakhshaei MH, Bakhtiari A, Bakkannavar SM, Baldasseroni A, Ball K, Ballew SH, Balzi D, Banach M, Banerjee SK, Bante AB, Baraki AG, Barker-Collo SL, Bärnighausen TW, Barrero LH, Barthelemy CM, Barua L, Basu S, Baune BT, Bayati M, Becker JS, Bedi N, Beghi E, Béjot Y, Bell ML, Bennitt FB, Bensenor IM, Berhe K, Berman AE, Bhagavathula AS, Bhageerathy R, Bhala N, Bhandari D, Bhattacharyya K, Bhutta ZA, Bijani A, Bikbov B, Bin Sayeed MS, Biondi A, Birihane BM, Bisignano C, Biswas RK, Bitew H, Bohlouli S, Bohluli M, Boon-Dooley AS, Borges G, Borzì AM, Borzouei S, Bosetti C, Boufous S, Braithwaite D, Breitborde NJK, Breitner S, Brenner H, Briant PS, Briko AN, Briko NI, Britton GB, Bryazka D, Bumgarner BR, Burkart K, Burnett RT, Burugina Nagaraja S, Butt ZA, Caetano dos Santos FL, Cahill LE, 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Global burden of 87 risk factors in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 2020; 396:1223-1249. [PMID: 33069327 PMCID: PMC7566194 DOI: 10.1016/s0140-6736(20)30752-2] [Citation(s) in RCA: 3098] [Impact Index Per Article: 774.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Revised: 03/21/2020] [Accepted: 03/23/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Rigorous analysis of levels and trends in exposure to leading risk factors and quantification of their effect on human health are important to identify where public health is making progress and in which cases current efforts are inadequate. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 provides a standardised and comprehensive assessment of the magnitude of risk factor exposure, relative risk, and attributable burden of disease. METHODS GBD 2019 estimated attributable mortality, years of life lost (YLLs), years of life lived with disability (YLDs), and disability-adjusted life-years (DALYs) for 87 risk factors and combinations of risk factors, at the global level, regionally, and for 204 countries and territories. GBD uses a hierarchical list of risk factors so that specific risk factors (eg, sodium intake), and related aggregates (eg, diet quality), are both evaluated. This method has six analytical steps. (1) We included 560 risk-outcome pairs that met criteria for convincing or probable evidence on the basis of research studies. 12 risk-outcome pairs included in GBD 2017 no longer met inclusion criteria and 47 risk-outcome pairs for risks already included in GBD 2017 were added based on new evidence. (2) Relative risks were estimated as a function of exposure based on published systematic reviews, 81 systematic reviews done for GBD 2019, and meta-regression. (3) Levels of exposure in each age-sex-location-year included in the study were estimated based on all available data sources using spatiotemporal Gaussian process regression, DisMod-MR 2.1, a Bayesian meta-regression method, or alternative methods. (4) We determined, from published trials or cohort studies, the level of exposure associated with minimum risk, called the theoretical minimum risk exposure level. (5) Attributable deaths, YLLs, YLDs, and DALYs were computed by multiplying population attributable fractions (PAFs) by the relevant outcome quantity for each age-sex-location-year. (6) PAFs and attributable burden for combinations of risk factors were estimated taking into account mediation of different risk factors through other risk factors. Across all six analytical steps, 30 652 distinct data sources were used in the analysis. Uncertainty in each step of the analysis was propagated into the final estimates of attributable burden. Exposure levels for dichotomous, polytomous, and continuous risk factors were summarised with use of the summary exposure value to facilitate comparisons over time, across location, and across risks. Because the entire time series from 1990 to 2019 has been re-estimated with use of consistent data and methods, these results supersede previously published GBD estimates of attributable burden. FINDINGS The largest declines in risk exposure from 2010 to 2019 were among a set of risks that are strongly linked to social and economic development, including household air pollution; unsafe water, sanitation, and handwashing; and child growth failure. Global declines also occurred for tobacco smoking and lead exposure. The largest increases in risk exposure were for ambient particulate matter pollution, drug use, high fasting plasma glucose, and high body-mass index. In 2019, the leading Level 2 risk factor globally for attributable deaths was high systolic blood pressure, which accounted for 10·8 million (95% uncertainty interval [UI] 9·51-12·1) deaths (19·2% [16·9-21·3] of all deaths in 2019), followed by tobacco (smoked, second-hand, and chewing), which accounted for 8·71 million (8·12-9·31) deaths (15·4% [14·6-16·2] of all deaths in 2019). The leading Level 2 risk factor for attributable DALYs globally in 2019 was child and maternal malnutrition, which largely affects health in the youngest age groups and accounted for 295 million (253-350) DALYs (11·6% [10·3-13·1] of all global DALYs that year). The risk factor burden varied considerably in 2019 between age groups and locations. Among children aged 0-9 years, the three leading detailed risk factors for attributable DALYs were all related to malnutrition. Iron deficiency was the leading risk factor for those aged 10-24 years, alcohol use for those aged 25-49 years, and high systolic blood pressure for those aged 50-74 years and 75 years and older. INTERPRETATION Overall, the record for reducing exposure to harmful risks over the past three decades is poor. Success with reducing smoking and lead exposure through regulatory policy might point the way for a stronger role for public policy on other risks in addition to continued efforts to provide information on risk factor harm to the general public. FUNDING Bill & Melinda Gates Foundation.
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Wang H, Abbas KM, Abbasifard M, Abbasi-Kangevari M, Abbastabar H, Abd-Allah F, Abdelalim A, Abolhassani H, Abreu LG, Abrigo MRM, Abushouk AI, Adabi M, Adair T, Adebayo OM, Adedeji IA, Adekanmbi V, Adeoye AM, Adetokunboh OO, Advani SM, Afshin A, Aghaali M, Agrawal A, Ahmadi K, Ahmadieh H, Ahmed MB, Al-Aly Z, Alam K, Alam T, Alanezi FM, Alanzi TM, Alcalde-Rabanal JE, Ali M, Alicandro G, Alijanzadeh M, Alinia C, Alipour V, Alizade H, Aljunid SM, Allebeck P, Almadi MAH, Almasi-Hashiani A, Al-Mekhlafi HM, Altirkawi KA, Alumran AK, Alvis-Guzman N, Amini-Rarani M, Aminorroaya A, Amit AML, Ancuceanu R, Andrei CL, Androudi S, Angus C, Anjomshoa M, Ansari F, Ansari I, Ansari-Moghaddam A, Antonio CAT, Antony CM, Anvari D, Appiah SCY, Arabloo J, Arab-Zozani M, Aravkin AY, Aremu O, Ärnlöv J, Aryal KK, Asadi-Pooya AA, Asgari S, Asghari Jafarabadi M, Atteraya MS, Ausloos M, Avila-Burgos L, Avokpaho EFGA, Ayala Quintanilla BP, Ayano G, Ayanore MA, Azarian G, Babaee E, Badiye AD, Bagli E, Bahrami MA, Bakhtiari A, Balassyano S, Banach M, Banik PC, Barker-Collo SL, Bärnighausen TW, Barzegar A, Basu S, Baune BT, Bayati M, Bazmandegan G, Bedi N, Bell ML, Bennett DA, Bensenor IM, Berhe K, Berman AE, Bertolacci GJ, Bhageerathy R, Bhala N, Bhattacharyya K, Bhutta ZA, Bijani A, Biondi A, Bisanzio D, Bisignano C, Biswas RK, Bjørge T, Bohlouli S, Bohluli M, Bolla SRR, Borzì AM, Borzouei S, Brady OJ, Braithwaite D, Brauer M, Briko AN, Briko NI, Bumgarner BR, Burugina Nagaraja S, Butt ZA, Caetano dos Santos FL, Cai T, Callender CSKH, Cámera LLAA, Campos-Nonato IR, Cárdenas R, Carreras G, Carrero JJ, Carvalho F, Castaldelli-Maia JM, Castelpietra G, Castro F, Catalá-López F, Cederroth CR, Cerin E, Chattu VK, Chin KL, Chu DT, Ciobanu LG, Cirillo M, Comfort H, Costa VM, Cowden RG, Cromwell EA, Croneberger AJ, Cunningham M, Dahlawi SMA, Damiani G, D'Amico E, Dandona L, Dandona R, Dargan PI, Darwesh AM, Daryani A, Das Gupta R, das Neves J, Davletov K, De Leo D, Denova-Gutiérrez E, Deribe K, Dervenis N, Desai R, Dhungana GP, Dias da Silva D, Diaz D, Dippenaar IN, Djalalinia S, Do HT, Dokova K, Doku DT, Dorostkar F, Doshi CP, Doshmangir L, Doyle KE, Dubljanin E, Duraes AR, Edvardsson D, Effiong A, El Sayed I, El Tantawi M, Elbarazi I, El-Jaafary SI, Emamian MH, Eskandarieh S, Esmaeilzadeh F, Estep K, Farahmand M, Faraj A, Fareed M, Faridnia R, Faro A, Farzadfar F, Fattahi N, Fazaeli AA, Fazlzadeh M, Feigin VL, Fereshtehnejad SM, Fernandes E, Ferreira ML, Filip I, Fischer F, Flohr C, Foigt NA, Folayan MO, Fomenkov AA, Freitas M, Fukumoto T, Fuller JE, Furtado JM, Gad MM, Gakidou E, Gallus S, Gebrehiwot AM, Gebremedhin KB, Gething PW, Ghamari F, Ghashghaee A, Gholamian A, Gilani SA, Gitimoghaddam M, Glushkova EV, Gnedovskaya EV, Gopalani SV, Goulart AC, Gugnani HC, Guo Y, Gupta R, Gupta SS, Haagsma JA, Haj-Mirzaian A, Haj-Mirzaian A, Halvaei I, Hamadeh RR, Hamagharib Abdullah K, Han C, Handiso DW, Hankey GJ, Haririan H, Haro JM, Hasaballah AI, Hassanipour S, Hassankhani H, Hay SI, 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Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950-2019: a comprehensive demographic analysis for the Global Burden of Disease Study 2019. Lancet 2020; 396:1160-1203. [PMID: 33069325 PMCID: PMC7566045 DOI: 10.1016/s0140-6736(20)30977-6] [Citation(s) in RCA: 701] [Impact Index Per Article: 175.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2019] [Revised: 03/10/2020] [Accepted: 04/20/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Accurate and up-to-date assessment of demographic metrics is crucial for understanding a wide range of social, economic, and public health issues that affect populations worldwide. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 produced updated and comprehensive demographic assessments of the key indicators of fertility, mortality, migration, and population for 204 countries and territories and selected subnational locations from 1950 to 2019. METHODS 8078 country-years of vital registration and sample registration data, 938 surveys, 349 censuses, and 238 other sources were identified and used to estimate age-specific fertility. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate age-specific fertility rates for 5-year age groups between ages 15 and 49 years. With extensions to age groups 10-14 and 50-54 years, the total fertility rate (TFR) was then aggregated using the estimated age-specific fertility between ages 10 and 54 years. 7417 sources were used for under-5 mortality estimation and 7355 for adult mortality. ST-GPR was used to synthesise data sources after correction for known biases. Adult mortality was measured as the probability of death between ages 15 and 60 years based on vital registration, sample registration, and sibling histories, and was also estimated using ST-GPR. HIV-free life tables were then estimated using estimates of under-5 and adult mortality rates using a relational model life table system created for GBD, which closely tracks observed age-specific mortality rates from complete vital registration when available. Independent estimates of HIV-specific mortality generated by an epidemiological analysis of HIV prevalence surveys and antenatal clinic serosurveillance and other sources were incorporated into the estimates in countries with large epidemics. Annual and single-year age estimates of net migration and population for each country and territory were generated using a Bayesian hierarchical cohort component model that analysed estimated age-specific fertility and mortality rates along with 1250 censuses and 747 population registry years. We classified location-years into seven categories on the basis of the natural rate of increase in population (calculated by subtracting the crude death rate from the crude birth rate) and the net migration rate. We computed healthy life expectancy (HALE) using years lived with disability (YLDs) per capita, life tables, and standard demographic methods. Uncertainty was propagated throughout the demographic estimation process, including fertility, mortality, and population, with 1000 draw-level estimates produced for each metric. FINDINGS The global TFR decreased from 2·72 (95% uncertainty interval [UI] 2·66-2·79) in 2000 to 2·31 (2·17-2·46) in 2019. Global annual livebirths increased from 134·5 million (131·5-137·8) in 2000 to a peak of 139·6 million (133·0-146·9) in 2016. Global livebirths then declined to 135·3 million (127·2-144·1) in 2019. Of the 204 countries and territories included in this study, in 2019, 102 had a TFR lower than 2·1, which is considered a good approximation of replacement-level fertility. All countries in sub-Saharan Africa had TFRs above replacement level in 2019 and accounted for 27·1% (95% UI 26·4-27·8) of global livebirths. Global life expectancy at birth increased from 67·2 years (95% UI 66·8-67·6) in 2000 to 73·5 years (72·8-74·3) in 2019. The total number of deaths increased from 50·7 million (49·5-51·9) in 2000 to 56·5 million (53·7-59·2) in 2019. Under-5 deaths declined from 9·6 million (9·1-10·3) in 2000 to 5·0 million (4·3-6·0) in 2019. Global population increased by 25·7%, from 6·2 billion (6·0-6·3) in 2000 to 7·7 billion (7·5-8·0) in 2019. In 2019, 34 countries had negative natural rates of increase; in 17 of these, the population declined because immigration was not sufficient to counteract the negative rate of decline. Globally, HALE increased from 58·6 years (56·1-60·8) in 2000 to 63·5 years (60·8-66·1) in 2019. HALE increased in 202 of 204 countries and territories between 2000 and 2019. INTERPRETATION Over the past 20 years, fertility rates have been dropping steadily and life expectancy has been increasing, with few exceptions. Much of this change follows historical patterns linking social and economic determinants, such as those captured by the GBD Socio-demographic Index, with demographic outcomes. More recently, several countries have experienced a combination of low fertility and stagnating improvement in mortality rates, pushing more populations into the late stages of the demographic transition. Tracking demographic change and the emergence of new patterns will be essential for global health monitoring. FUNDING Bill & Melinda Gates Foundation.
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