Global, regional, and national sepsis and infectious syndrome incidence and mortality, 1990–2021: analysis for the Global Burden of Disease Study
| dc.contributor.author | Gray, Authia P. | |
| dc.contributor.author | Rsu, Rebecca L. | |
| dc.contributor.author | Araki, Daniel T. | |
| dc.contributor.author | Gershberg Hayoon, Anna | |
| dc.contributor.author | Weaver, Nicole Davis | |
| dc.contributor.author | Swetschinski, Lucien R. | |
| dc.contributor.author | Wool, Eve E. | |
| dc.contributor.author | Han, Chieh | |
| dc.contributor.author | Villafañe, Jorge Hugo | |
| dc.contributor.author | Et. al. | |
| dc.date.accessioned | 2025-10-22T11:04:05Z | |
| dc.date.available | 2025-10-22T11:04:05Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | The global burden of sepsis, a life-threatening dysregulated host response to infection leading to organ dysfunction, remains challenging to quantify. We aimed to comprehensively estimate the global, regional, and national burden of sepsis, including the impact of the COVID-19 pandemic and underlying causes of sepsis-related deaths with co-occurring infectious syndromes. We used multiple cause-of-death, hospital, minimally invasive tissue sampling, and linked death certificate and hospital record data representing 149 million deaths, covering 4290 location-years with mortality estimates from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 to capture explicit and implicit sepsis cases and deaths. We estimated age-location-sex-specific fractions of sepsis-related deaths from 195 underlying causes of death and 22 infectious syndromes from 1990 to 2021 using binomial logistic regression models, and estimated sepsis-related deaths using GBD cause-specific mortality estimates. Using 250 million hospital admissions and 7·82 million deaths from hospital data, representing 1310 location-years, we modelled case fatality rates by use of binomial logistic regression, applied to sepsis death estimates to estimate sepsis incidence by age, location, and year. | |
| dc.description.filiation | UEM | spa |
| dc.description.impact | 18.0 Q1 JCR 2024 | spa |
| dc.description.impact | 5.780 Q1 SJR 2024 | spa |
| dc.description.impact | No data IDR 2023 | spa |
| dc.description.sponsorship | Gates Foundation | |
| dc.description.sponsorship | Wellcome Trust, and Department of Health and Social Care using UK aid funding managed by the Fleming Fund. | |
| dc.identifier.citation | Gray, A. P., Chung, E., Hsu, R. L., Araki, D. T., Gershberg Hayoon, A., Weaver, N. Da., Swetschinski, L. R., Wool, E. E., Han, C., Mestrovic, T., Ikuta, K. S., Abbas, N., Abbasi, M., Abd ElHafeez, S., Abdisa, W. M., Abdoun, M., Abdullahi, A., Abebe, M., Abejew, A. A., … Et.al. (2025). Global, regional, and national sepsis incidence and mortality, 1990–2021: a systematic analysis. The Lancet Global Health. http://doi.org/10.1016/ S2214-109X(25)00356-0 | |
| dc.identifier.doi | 10.1016/ S2214-109X(25)00356-0 | |
| dc.identifier.issn | 2214-109X | |
| dc.identifier.uri | https://hdl.handle.net/11268/16412 | |
| dc.language.iso | eng | |
| dc.peerreviewed | Si | |
| dc.relation.publisherversion | http://doi.org/10.1016/ S2214-109X(25)00356-0 | |
| dc.rights | Atribución/Reconocimiento 4.0 Internacional | eng |
| dc.rights.accessRights | open access | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject.other | Sepsis | |
| dc.subject.other | Incidencia | |
| dc.subject.other | Registros de mortalidad | |
| dc.subject.sdg | Goal 3: Ensure healthy lives and promote well-being for all at all ages | |
| dc.subject.unesco | Estadísticas sanitarias | |
| dc.subject.unesco | Enfermedad | |
| dc.title | Global, regional, and national sepsis and infectious syndrome incidence and mortality, 1990–2021: analysis for the Global Burden of Disease Study | |
| dc.type | journal article | |
| dc.type.hasVersion | VoR | |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 4adbada5-6908-47e1-a7e8-b70d0a27a54d | |
| relation.isAuthorOfPublication.latestForDiscovery | 4adbada5-6908-47e1-a7e8-b70d0a27a54d |
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