Global, regional, and national sepsis incidence and mortality, 1990–2017: analysis for the Global Burden of Disease Study

作者：Kristina E. Rudd, Sarah Charlotte Johnson, Kareha M Agesa, Katya Anne Shackelford, Derrick Tsoi, Daniel Kievlan, Danny V. Colombara, Kevin S Ikuta, Niranjan Kissoon, Simon Finfer, Carolin Fleischmann-Struzek, Flávia Ribeiro Machado, Konrad Reinhart, Kathy Rowan, Christopher W. Seymour, R. Scott Watson, T. Eoin West, Fatima Marinho, Simon I Hay, Rafael Lozano, Alan D López, Derek C. Angus, Christopher J L Murray, Mohsen Naghavi · 发表于：The Lancet · 年份：2020 · DOI：10.1016/s0140-6736(19)32989-7 · 被引用次数：8134 · 研究领域：Sepsis Diagnosis and Treatment、Immune Response and Inflammation、Neonatal and Maternal Infections

BACKGROUND: Sepsis is life-threatening organ dysfunction due to a dysregulated host response to infection. It is considered a major cause of health loss, but data for the global burden of sepsis are limited. As a syndrome caused by underlying infection, sepsis is not part of standard Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) estimates. Accurate estimates are important to inform and monitor health policy interventions, allocation of resources, and clinical treatment initiatives. We estimated the global, regional, and national incidence of sepsis and mortality from this disorder using data from GBD 2017. METHODS: We used multiple cause-of-death data from 109 million individual death records to calculate mortality related to sepsis among each of the 282 underlying causes of death in GBD 2017. The percentage of sepsis-related deaths by underlying GBD cause in each location worldwide was modelled using mixed-effects linear regression. Sepsis-related mortality for each age group, sex, location, GBD cause, and year (1990-2017) was estimated by applying modelled cause-specific fractions to GBD 2017 cause-of-death estimates. We used data for 8·7 million individual hospital records to calculate in-hospital sepsis-associated case-fatality, stratified by underlying GBD cause. In-hospital sepsis-associated case-fatality was modelled for each location using linear regression, and sepsis incidence was estimated by applying modelled case-fatality to sepsis-related mor...