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Open Access 16-04-2024 | Septicemia | Research

Sepsis and case fatality rates and associations with deprivation, ethnicity, and clinical characteristics: population-based case–control study with linked primary care and hospital data in England

Authors: Tjeerd Pieter van Staa, Alexander Pate, Glen P. Martin, Anita Sharma, Paul Dark, Tim Felton, Xiaomin Zhong, Sian Bladon, Neil Cunningham, Ellie L. Gilham, Colin S. Brown, Mariyam Mirfenderesky, Victoria Palin, Diane Ashiru-Oredope

Published in: Infection

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Abstract

Purpose

Sepsis is a life-threatening organ dysfunction caused by dysregulated host response to infection. The purpose of the study was to measure the associations of specific exposures (deprivation, ethnicity, and clinical characteristics) with incident sepsis and case fatality.

Methods

Two research databases in England were used including anonymized patient-level records from primary care linked to hospital admission, death certificate, and small-area deprivation. Sepsis cases aged 65–100 years were matched to up to six controls. Predictors for sepsis (including 60 clinical conditions) were evaluated using logistic and random forest models; case fatality rates were analyzed using logistic models.

Results

108,317 community-acquired sepsis cases were analyzed. Severe frailty was strongly associated with the risk of developing sepsis (crude odds ratio [OR] 14.93; 95% confidence interval [CI] 14.37–15.52). The quintile with most deprived patients showed an increased sepsis risk (crude OR 1.48; 95% CI 1.45–1.51) compared to least deprived quintile. Strong predictors for sepsis included antibiotic exposure in prior 2 months, being house bound, having cancer, learning disability, and diabetes mellitus. Severely frail patients had a case fatality rate of 42.0% compared to 24.0% in non-frail patients (adjusted OR 1.53; 95% CI 1.41–1.65). Sepsis cases with recent prior antibiotic exposure died less frequently compared to non-users (adjusted OR 0.7; 95% CI 0.72–0.76). Case fatality strongly decreased over calendar time.

Conclusion

Given the variety of predictors and their level of associations for developing sepsis, there is a need for prediction models for risk of developing sepsis that can help to target preventative antibiotic therapy.
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Metadata
Title
Sepsis and case fatality rates and associations with deprivation, ethnicity, and clinical characteristics: population-based case–control study with linked primary care and hospital data in England
Authors
Tjeerd Pieter van Staa
Alexander Pate
Glen P. Martin
Anita Sharma
Paul Dark
Tim Felton
Xiaomin Zhong
Sian Bladon
Neil Cunningham
Ellie L. Gilham
Colin S. Brown
Mariyam Mirfenderesky
Victoria Palin
Diane Ashiru-Oredope
Publication date
16-04-2024
Publisher
Springer Berlin Heidelberg
Published in
Infection
Print ISSN: 0300-8126
Electronic ISSN: 1439-0973
DOI
https://doi.org/10.1007/s15010-024-02235-8
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