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Estimates of the global, regional, and national morbidity, mortality, and aetiologies of lower respiratory infections in 195 countries, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

医学 人口 口头尸检 疾病负担 入射(几何) 呼吸道感染 人口学 死因 呼吸系统 疾病 环境卫生 内科学 光学 物理 社会学
作者
Christopher Troeger,Brigette F. Blacker,Fakher Rahim,Puja C Rao,Jackie Cao,Stephanie R M Zimsen,Samuel B Albertson,Aniruddha Deshpande,Kayla Laserson,Abebe Zegeye,Ifedayo Adetifa,Tara Ballav Adhikari,Mohammed Akibu,Faris Lami,Ayman Al‐Eyadhy,Nelson Alvis‐Guzmán,Azmeraw T. Amare,Yaw Ampem Amoako,Carl Abelardo T. Antonio,Olatunde Aremu,Ephrem Tsegay Asfaw,Solomon Weldegebreal Asgedom,Tesfay Mehari Atey,Engi F. Attia,Euripide Frinel G Arthur Avokpaho,Henok Tadesse Ayele,Ayuk Betrand Tambe,Kalpana Balakrishnan,Aleksandra Barać,Quique Bassat,Masoud Behzadifar,Meysam Behzadifar,Soumyadeep Bhaumik,Zulfiqar A Bhutta,Ali Bijani,Michael Bräuer,Alexandria Brown,Paulo Augusto Moreira Camargos,Carlos A Castañeda-Orjuela,Danny V. Colombara,Sara Conti,Abel Fekadu Dadi,Lalit Dandona,Rakhi Dandona,Huyen Phuc,Eleonora Dubljanin,Dumessa Edessa,Hajer Elkout,Aman Yesuf Endries,Daniel Obadare Fijabi,Kyle J Foreman,Mohammad H Forouzanfar,Nancy Fullman,Alberto L. García‐Basteiro,Bradford D. Gessner,Peter W. Gething,Rahul Gupta,Tarun Gupta,Gessessew Bugssa Hailu,Hamid Yimam Hassen,Mohammad Taghi Hedayati,Mohsen Heidari,Desalegn Tsegaw Hibstu,Nobuyuki Horita,Olayinka Stephen Ilesanmi,Mihajlo Jakovljević,Amr Jamal,Amaha Kahsay,Amir Kasaeian,Dessalegn H Kassa,Yousef Khader,Ejaz Ahmad Khan,Md Nuruzzaman Khan,Young‐Ho Khang,Young‐Eun Kim,Niranjan Kissoon,Luke D. Knibbs,Sonali Kochhar,Parvaiz A Koul,G Anil Kumar,Rakesh Ghosh,Hassan Magdy Abd El Razek,Déborah Carvalho Malta,Joseph L. Mathew,Desalegn Tadese Mengistu,Haftay Berhane Mezgebe,Karzan Abdulmuhsin Mohammad,Mohammed A Mohammed,Fatemeh Momeniha,Srinivas Murthy,Cuong Tat Nguyen,Katie R. Nielsen,Dina Nur Anggraini Ningrum,Yirga Legesse Nirayo,Eyal Oren,Justin R. Ortiz,P A Mahesh,Maarten J. Postma,Mostafa Qorbani,Reginald Quansah,Rajesh Kumar,Chhabi Lal Ranabhat,Chhabi Lal Ranabhat,Sarah E Ray,Mohammad Sadegh Rezai,George Mugambage Ruhago,Saeid Safiri,Joshua A. Salomon,Benn Sartorius,Miloje Savic,Monika Sawhney,Jun She,Aziz Sheikh,Mekonnen Sisay,Luz Myriam Reynales-Shigematsu,Jasvinder A. Singh,Ranjani Somayaji,Jeffrey D Stanaway,Mu’awiyyah Babale Sufiyan,Getachew Redae Taffere,Mohamad‐Hani Temsah,Matthew Thompson,Ruoyan Tobe-Gai,Roman Topór-Mądry,Bach Xuan Tran,Tung Thanh Tran,Kald Beshir Tuem,Kingsley Nnanna Ukwaja,Stein Emil Vollset,Judd L. Walson,Fitsum Weldegebreal,Andrea Werdecker,T. Eoin West,Naohiro Yonemoto,Maysaa El Sayed Zaki,Lei Zhou,Kavya Sharma,Theo Vos,Mohsen Naghavi,Stephen S Lim,Ali H. Mokdad,Christopher J L Murray,Simon I Hay,Robert C. Reiner
出处
期刊:Lancet Infectious Diseases [Elsevier]
卷期号:18 (11): 1191-1210 被引量:1436
标识
DOI:10.1016/s1473-3099(18)30310-4
摘要

BackgroundLower respiratory infections are a leading cause of morbidity and mortality around the world. The Global Burden of Diseases, Injuries, and Risk Factors (GBD) Study 2016, provides an up-to-date analysis of the burden of lower respiratory infections in 195 countries. This study assesses cases, deaths, and aetiologies spanning the past 26 years and shows how the burden of lower respiratory infection has changed in people of all ages.MethodsWe used three separate modelling strategies for lower respiratory infections in GBD 2016: a Bayesian hierarchical ensemble modelling platform (Cause of Death Ensemble model), which uses vital registration, verbal autopsy data, and surveillance system data to predict mortality due to lower respiratory infections; a compartmental meta-regression tool (DisMod-MR), which uses scientific literature, population representative surveys, and health-care data to predict incidence, prevalence, and mortality; and modelling of counterfactual estimates of the population attributable fraction of lower respiratory infection episodes due to Streptococcus pneumoniae, Haemophilus influenzae type b, influenza, and respiratory syncytial virus. We calculated each modelled estimate for each age, sex, year, and location. We modelled the exposure level in a population for a given risk factor using DisMod-MR and a spatio-temporal Gaussian process regression, and assessed the effectiveness of targeted interventions for each risk factor in children younger than 5 years. We also did a decomposition analysis of the change in LRI deaths from 2000–16 using the risk factors associated with LRI in GBD 2016.FindingsIn 2016, lower respiratory infections caused 652 572 deaths (95% uncertainty interval [UI] 586 475–720 612) in children younger than 5 years (under-5s), 1 080 958 deaths (943 749–1 170 638) in adults older than 70 years, and 2 377 697 deaths (2 145 584–2 512 809) in people of all ages, worldwide. Streptococcus pneumoniae was the leading cause of lower respiratory infection morbidity and mortality globally, contributing to more deaths than all other aetiologies combined in 2016 (1 189 937 deaths, 95% UI 690 445–1 770 660). Childhood wasting remains the leading risk factor for lower respiratory infection mortality among children younger than 5 years, responsible for 61·4% of lower respiratory infection deaths in 2016 (95% UI 45·7–69·6). Interventions to improve wasting, household air pollution, ambient particulate matter pollution, and expanded antibiotic use could avert one under-5 death due to lower respiratory infection for every 4000 children treated in the countries with the highest lower respiratory infection burden.InterpretationOur findings show substantial progress in the reduction of lower respiratory infection burden, but this progress has not been equal across locations, has been driven by decreases in several primary risk factors, and might require more effort among elderly adults. By highlighting regions and populations with the highest burden, and the risk factors that could have the greatest effect, funders, policy makers, and programme implementers can more effectively reduce lower respiratory infections among the world's most susceptible populations.FundingBill & Melinda Gates Foundation.
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