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Dataset Information

Development and validation of a predictive mortality scoring model for bloodstream infections due to Escherichia coli in the PROBAC cohort.


ABSTRACT:

Introduction

Escherichia coli is the most frequent cause of bacteraemia and has a major impact on morbidity and mortality. The aim of this study is to define and internally validate a predictive risk score of 30-day all-cause mortality.

Methods

A prospective, multicentre, cohort study conducted in 26 Spanish hospitals between October 2016 and March 2017 was performed. All monomicrobial E. coli bloodstream infections (BSIs) were included. The primary outcome was 30-day all-cause mortality. Cases were randomized to a derivation cohort (DC) and a validation cohort (VC). The predictive score was calculated from a multivariable model performed by logistic regression in the DC and subsequently applied to the VC. The predictive ability of the model was estimated by calculating the

SUBMITTER: Olivares-Navarro P 

PROVIDER: S-EPMC12675721 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature