A Prediction Model for Pediatric Radiographic Pneumonia.

ABSTRACT:

Background

Chest radiographs (CXRs) are frequently used in the diagnosis of community-acquired pneumonia (CAP). We sought to construct a predictive model for radiographic CAP based on clinical features to decrease CXR use.

Methods

We performed a single-center prospective study of patients 3 months to 18 years of age with signs of lower respiratory infection who received a CXR for suspicion of CAP. We used penalized multivariable logistic regression to develop a full model and bootstrapped backward selection models to develop a parsimonious reduced model. We evaluated model performance at different thresholds of predicted risk.

Results

Radiographic CAP was identified in 253 (22.2%) of 1142 patients. In multivariable analysis, increasing age, prolonged fever duration, t

SUBMITTER: Ramgopal S 

PROVIDER: S-EPMC9647527 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature