Old subjects with sepsis in the emergency department: trend analysis of case fatality rate.
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ABSTRACT: Background
The burden of sepsis represents a global health care problem. We aimed to assess the case fatality rate (CFR) and its predictors in subjects with sepsis admitted to a general Italian hospital from 2009 to 2016, stratified by risk score.Methods
We performed a retrospective analysis of all sepsis-related hospitalizations after Emergency Department (ED) visit in a public Italian hospital in an 8-year period. A risk score to predict CFR was computed by logistic regression analysis of selected variables in a training set (2009-2012), and then confirmed in the whole study population. A trend analysis of CFR during the study period was performed dividing patient as high-risk (upper tertile of risk score) or low-risk.Results
Two thousand four hundred ninety-two subjects were included. Over time the incidental admission rate (no. of sepsis-related admissions per 100 total admissions) increased from 4.1% (2009-2010) to 5.4% (2015-2016); P?ConclusionBetween 2009 and 2016 the incidence of sepsis-related hospitalization increased in a general Italian hospital, with a downward trend in CFR, only limited to low-risk patients and particularly to subjects ?80?years.
SUBMITTER: Fabbri A
PROVIDER: S-EPMC6929475 | biostudies-literature | 2019 Dec
REPOSITORIES: biostudies-literature
Publications
Old subjects with sepsis in the emergency department: trend analysis of case fatality rate.
Fabbri Andrea A Marchesini Giulio G Benazzi Barbara B Morelli Alice A Montesi Danilo D Bini Cesare C Rizzo Stefano Giovanni SG
BMC geriatrics 20191223 1
<h4>Background</h4>The burden of sepsis represents a global health care problem. We aimed to assess the case fatality rate (CFR) and its predictors in subjects with sepsis admitted to a general Italian hospital from 2009 to 2016, stratified by risk score.<h4>Methods</h4>We performed a retrospective analysis of all sepsis-related hospitalizations after Emergency Department (ED) visit in a public Italian hospital in an 8-year period. A risk score to predict CFR was computed by logistic regression ...[more]
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