注册 | 登录 | 充值

首页-> 学术资讯 -> 文献解读

柳叶刀:2019年与33种细菌病原体相关的全球死亡率

文献解读

2023-01-16      

1262 0


减少感染造成的死亡负担是全球公共卫生的紧迫优先事项。以前的研究估计了与耐药感染和败血症相关的死亡人数,并发现感染仍然是全球死亡的主要原因。了解常见细菌病原体(对抗微生物药物敏感和耐药)的全球负担对于确定公共卫生面临的最大威胁至关重要。


在2019年估计的1370万(95% UI为109 - 171)例感染相关死亡中,有770万(57 - 102)例死亡与本研究估计的11种感染综合征中的33种细菌病原体(既耐药又易感)有关。我们估计,2019年与33种细菌病原体相关的死亡占全球所有死亡人数的13.6%(10·2-18·1),占所有败血症相关死亡人数的56·2%(52·1-60·1)。


我们在这项研究中调查的33种细菌病原体是全球健康损失的一个重要来源,它们在不同感染综合征和地点的分布有很大差异。与GBD 3级基本死亡原因相比,2019年与这些细菌相关的死亡将成为全球第二大死亡原因;因此,它们应被视为全球卫生界干预的紧急优先事项。


Abstract

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. Th


文章连接:www.thelancet.com/journals/lancet/article/PIIS0140-6736(22)02185-7/fulltext



科研资讯(站内):

百度浏览   来源 : 医微客   


版权声明:本网站所有注明来源“医微客”的文字、图片和音视频资料,版权均属于医微客所有,非经授权,任何媒体、网站或个人不得转载,授权转载时须注明来源:”医微客”。本网所有转载文章系出于传递更多信息之目的,且明确注明来源和作者,转载仅作观点分享,版权归原作者所有。不希望被转载的媒体或个人可与我们联系,我们将立即进行删除处理。 本站拥有对此声明的最终解释权。

科研搜索(百度):医学科研





发表评论

注册或登后即可发表评论

登录注册

全部评论(0)

没有更多评论了哦~

科研资讯 更多>>
  • 肿瘤电场治疗Optune Lua获批治疗..
  • 成本更低的实体瘤抗癌新星:CAR-..
  • 文献速递-子宫内膜癌中的卵黄囊..
  • Nature|MSCs首次用于人体跟腱病..
  • 推荐阅读 更多>>
  • 新冠病毒的弱点找到了!Nature发..
  • 奈玛特韦/利托那韦与阿兹夫定老..
  • 饶毅:中国学术不端的现象,为何..
  • JPM2023全景报告附下载
    • 相关阅读
    • 热门专题
    • 推荐期刊
    • 学院课程
    • 医药卫生
      期刊级别:国家级期刊
      发行周期:暂无数据
      出版地区:其他
      影响因子:暂无数据
    • 中华肿瘤
      期刊级别:北大核心期刊
      发行周期:月刊
      出版地区:北京
      影响因子:1.90
    • 中华医学
      期刊级别:CSCD核心期刊
      发行周期:周刊
      出版地区:北京
      影响因子:0.94