Predicting outcome of patients with severe urinary tract infections admitted via the emergency department.

ABSTRACT:

Objective

To evaluate clinical prediction tools for making decisions in patients with severe urinary tract infections (UTIs).

Methods

This was a retrospective study conducted at 2 hospitals (combined emergency department (ED) census 190,000). Study patients were admitted via the ED with acute pyelonephritis or severe sepsis-septic shock related UTI. Area under the receiver operating characteristic curve (AUROC) augmented by decision curve analysis and sensitivity of each rule for predicting mortality and ICU admission were compared.

Results

The AUROC of PRACTICE was greater than that of BOMBARD (0.15 difference, 95% confidence interval [CI] = 0.09-0.22), SIRS (0.21 difference, 95% CI = 0.14-0.28) and qSOFA (0.06 difference, 95% CI = 0-0.11) for predicting mortality. P

SUBMITTER: Rothrock SG 

PROVIDER: S-EPMC7493503 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature