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Dataset Information

The early identification of disease progression in patients with suspected infection presenting to the emergency department: a multi-centre derivation and validation study.


ABSTRACT:

Background

There is a lack of validated tools to assess potential disease progression and hospitalisation decisions in patients presenting to the emergency department (ED) with a suspected infection. This study aimed to identify suitable blood biomarkers (MR-proADM, PCT, lactate and CRP) or clinical scores (SIRS, SOFA, qSOFA, NEWS and CRB-65) to fulfil this unmet clinical need.

Methods

An observational derivation patient cohort validated by an independent secondary analysis across nine EDs. Logistic and Cox regression, area under the receiver operating characteristic (AUROC) and Kaplan-Meier curves were used to assess performance. Disease progression was identified using a composite endpoint of 28-day mortality, ICU admission and hospitalisation > 10 days.

Results

One

SUBMITTER: Saeed K 

PROVIDER: S-EPMC6368690 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature