Predictors of severe sepsis-related in-hospital mortality based on a multicenter cohort study: The Focused Outcomes Research in Emergency Care in Acute Respiratory Distress Syndrome, Sepsis, and Trauma study.
Adult
Cohort Studies
Databases, Factual
Female
Hospital Mortality
Humans
Intensive Care Units
/ statistics & numerical data
Japan
Latent Class Analysis
Logistic Models
Male
Organ Dysfunction Scores
Outcome Assessment, Health Care
/ statistics & numerical data
Risk Factors
Sepsis
/ mortality
Severity of Illness Index
Time Factors
Journal
Medicine
ISSN: 1536-5964
Titre abrégé: Medicine (Baltimore)
Pays: United States
ID NLM: 2985248R
Informations de publication
Date de publication:
26 Feb 2021
26 Feb 2021
Historique:
received:
10
06
2020
accepted:
28
01
2021
entrez:
5
3
2021
pubmed:
6
3
2021
medline:
16
3
2021
Statut:
ppublish
Résumé
This study aimed to identify prognostic factors for severe sepsis-related in-hospital mortality using the structural equation model (SEM) analysis with statistical causality. Sepsis data from the Focused Outcomes Research in Emergency Care in Acute Respiratory Distress Syndrome, Sepsis, and Trauma study (FORECAST), a multicenter cohort study, was used. Forty seven observed variables from the database were used to construct 4 latent variables. SEM analysis was performed on these latent variables to analyze the statistical causality among these data. This study evaluated whether the variables had an effect on in-hospital mortality. Overall, 1148 patients were enrolled. The SEM analysis showed that the 72-hour physical condition was the strongest latent variable affecting mortality, followed by physical condition before treatment. Furthermore, the 72-hour physical condition and the physical condition before treatment strongly influenced the Sequential Organ Failure Assessment (SOFA) score with path coefficients of 0.954 and 0.845, respectively. The SOFA score was the strongest variable that affected mortality after the onset of severe sepsis. The score remains the most robust prognostic factor and can facilitate appropriate policy development on care.
Identifiants
pubmed: 33663106
doi: 10.1097/MD.0000000000024844
pii: 00005792-202102260-00069
pmc: PMC7909210
doi:
Types de publication
Journal Article
Multicenter Study
Observational Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
e24844Informations de copyright
Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc.
Déclaration de conflit d'intérêts
The authors have no funding and conflicts of interests to disclose.
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