A prediction rule for severe adverse events in all inpatients with community-acquired pneumonia: a multicenter observational study.

ABSTRACT:

Background

Prediction of inpatients with community-acquired pneumonia (CAP) at high risk for severe adverse events (SAEs) requiring higher-intensity treatment is critical. However, evidence regarding prediction rules applicable to all patients with CAP including those with healthcare-associated pneumonia (HCAP) is limited. The objective of this study is to develop and validate a new prediction system for SAEs in inpatients with CAP.

Methods

Logistic regression analysis was performed in 1334 inpatients of a prospective multicenter study to develop a multivariate model predicting SAEs (death, requirement of mechanical ventilation, and vasopressor support within 30 days after diagnosis). The developed ALL-COP-SCORE rule based on the multivariate model was validated in 643 inpat

SUBMITTER: Sakakibara T 

PROVIDER: S-EPMC8753951 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature