亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Global mortality associated with 33 bacterial pathogens in 2019: a systematic analysis for the Global Burden of Disease Study 2019

医学 公共卫生 传染病(医学专业) 全球卫生 疾病负担 抗生素耐药性 疾病负担 死因 疾病 抗菌剂 病菌 环境卫生 免疫学 生物 抗生素 人口 内科学 微生物学 护理部
作者
Kevin S Ikuta,Lucien R Swetschinski,Gisela Robles Aguilar,Fablina Sharara,Tomislav Meštrović,Authia P Gray,Nicole Davis Weaver,Eve E Wool,Chieh Han,Anna Gershberg Hayoon,Amirali Aali,Semagn Mekonnen Abate,Mohsen Abbasi‐Kangevari,Zeinab Abbasi-Kangevari,Sherief Abd‐Elsalam,Getachew Abebe,Aidin Abedi,Amir Parsa Abhari,Hassan Abidi,Richard Gyan Aboagye
出处
期刊:The Lancet [Elsevier BV]
卷期号:400 (10369): 2221-2248 被引量:2074
标识
DOI:10.1016/s0140-6736(22)02185-7
摘要

BACKGROUND: Reducing the burden of death due to infection is an urgent global public health priority. Previous studies have estimated the number of deaths associated with drug-resistant infections and sepsis and found that infections remain a leading cause of death globally. Understanding the global burden of common bacterial pathogens (both susceptible and resistant to antimicrobials) is essential to identify the greatest threats to public health. To our knowledge, this is the first study to present global comprehensive estimates of deaths associated with 33 bacterial pathogens across 11 major infectious syndromes. METHODS: We estimated deaths associated with 33 bacterial genera or species across 11 infectious syndromes in 2019 using methods from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, in addition to a subset of the input data described in the Global Burden of Antimicrobial Resistance 2019 study. This study included 343 million individual records or isolates covering 11 361 study-location-years. We used three modelling steps to estimate the number of deaths associated with each pathogen: deaths in which infection had a role, the fraction of deaths due to infection that are attributable to a given infectious syndrome, and the fraction of deaths due to an infectious syndrome that are attributable to a given pathogen. Estimates were produced for all ages and for males and females across 204 countries and territories in 2019. 95% uncertainty intervals (UIs) were calculated for final estimates of deaths and infections associated with the 33 bacterial pathogens following standard GBD methods by taking the 2·5th and 97·5th percentiles across 1000 posterior draws for each quantity of interest. FINDINGS: From an estimated 13·7 million (95% UI 10·9-17·1) infection-related deaths in 2019, there were 7·7 million deaths (5·7-10·2) associated with the 33 bacterial pathogens (both resistant and susceptible to antimicrobials) across the 11 infectious syndromes estimated in this study. We estimated deaths associated with the 33 bacterial pathogens to comprise 13·6% (10·2-18·1) of all global deaths and 56·2% (52·1-60·1) of all sepsis-related deaths in 2019. Five leading pathogens-Staphylococcus aureus, Escherichia coli, Streptococcus pneumoniae, Klebsiella pneumoniae, and Pseudomonas aeruginosa-were responsible for 54·9% (52·9-56·9) of deaths among the investigated bacteria. The deadliest infectious syndromes and pathogens varied by location and age. The age-standardised mortality rate associated with these bacterial pathogens was highest in the sub-Saharan Africa super-region, with 230 deaths (185-285) per 100 000 population, and lowest in the high-income super-region, with 52·2 deaths (37·4-71·5) per 100 000 population. S aureus was the leading bacterial cause of death in 135 countries and was also associated with the most deaths in individuals older than 15 years, globally. Among children younger than 5 years, S pneumoniae was the pathogen associated with the most deaths. In 2019, more than 6 million deaths occurred as a result of three bacterial infectious syndromes, with lower respiratory infections and bloodstream infections each causing more than 2 million deaths and peritoneal and intra-abdominal infections causing more than 1 million deaths. INTERPRETATION: The 33 bacterial pathogens that we investigated in this study are a substantial source of health loss globally, with considerable variation in their distribution across infectious syndromes and locations. Compared with GBD Level 3 underlying causes of death, deaths associated with these bacteria would rank as the second leading cause of death globally in 2019; hence, they should be considered an urgent priority for intervention within the global health community. Strategies to address the burden of bacterial infections include infection prevention, optimised use of antibiotics, improved capacity for microbiological analysis, vaccine development, and improved and more pervasive use of available vaccines. These estimates can be used to help set priorities for vaccine need, demand, and development. FUNDING: Bill & Melinda Gates Foundation, Wellcome Trust, and Department of Health and Social Care, using UK aid funding managed by the Fleming Fund.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
MillerLing完成签到,获得积分10
2秒前
5秒前
tree完成签到,获得积分10
7秒前
一个西藏完成签到,获得积分10
7秒前
麻生发布了新的文献求助10
8秒前
12秒前
在读芝士青年完成签到 ,获得积分10
13秒前
15秒前
16秒前
yuan发布了新的文献求助10
18秒前
18秒前
草珊瑚发布了新的文献求助10
20秒前
朴素芝麻发布了新的文献求助10
21秒前
Hello应助科研通管家采纳,获得10
23秒前
秋风应助科研通管家采纳,获得10
23秒前
null应助科研通管家采纳,获得10
24秒前
25秒前
柔弱的妙旋完成签到,获得积分10
26秒前
小蘑菇应助lifuhao采纳,获得10
27秒前
谢桓完成签到 ,获得积分10
28秒前
Ava应助朴素芝麻采纳,获得10
29秒前
Cu发布了新的文献求助10
30秒前
麻生完成签到,获得积分10
31秒前
棠棠完成签到 ,获得积分10
33秒前
34秒前
花痴的善若完成签到,获得积分10
34秒前
寒山完成签到 ,获得积分10
34秒前
36秒前
LeeHx完成签到 ,获得积分10
36秒前
36秒前
37秒前
隐形曼青应助yuan采纳,获得10
37秒前
lifuhao发布了新的文献求助10
38秒前
英俊大树发布了新的文献求助10
39秒前
gj发布了新的文献求助10
43秒前
47秒前
47秒前
Chocolate完成签到,获得积分10
49秒前
EVER完成签到 ,获得积分10
49秒前
CC完成签到 ,获得积分10
52秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Nine new races of Peronospora manshurica found on soybeans in the Midwest 1000
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 600
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Eudora Welty and Modern Media 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7772267
求助须知:如何正确求助?哪些是违规求助? 9314671
关于积分的说明 20339473
捐赠科研通 7357660
什么是DOI,文献DOI怎么找? 3316905
关于科研通互助平台的介绍 2465395
邀请新用户注册赠送积分活动 2331910