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Dataset Information

Derivation and external validation of a prediction model for pneumococcal urinary antigen test positivity in patients with community-acquired pneumonia.


ABSTRACT:

Objective

Derive and externally validate a prediction model for pneumococcal urinary antigen test (pUAT) positivity.

Methods

Retrospective cohort study of adults admitted with community-acquired pneumonia (CAP) to 177 U.S. hospitals in the Premier Database (derivation and internal validation samples) or 12 Cleveland Clinic hospitals (external validation sample). We utilized multivariable logistic regression to predict pUAT positivity in the derivation dataset, followed by model performance evaluation in both validation datasets. Potential predictors included demographics, comorbidities, clinical findings, and markers of disease severity.

Results

Of 198,130 Premier patients admitted with CAP, 27,970 (14.1%) underwent pUAT; 1962 (7.0%) tested positive. The strongest pre

SUBMITTER: Kim P 

PROVIDER: S-EPMC10644161 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature