Net benefit of routine urine parameters for urinary tract infection screening: a decision curve analysis.

ABSTRACT:

Background

Whether routine urinary analysis has a net benefit for urinary tract infection (UTI) screening is unclear.

Methods

Using the laboratory information system (LIS), we retrospectively extracted the data of urine culture and routine analysis between January 2017 and April 2017. Receiver operating characteristic (ROC) curve, logistic regression model, net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were used to estimate the screening performance of routine urinary analysis. Decision curve analysis (DCA) was used to estimate the net benefit of routine urinary analysis.

Results

A total of 927 specimens with 156 UTIs were included in the present study. The area under ROC curves (AUCs) of white blood cells (WBCs) and bacteria w

SUBMITTER: Han YQ 

PROVIDER: S-EPMC7290540 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature