Evidence Hub

Antibiotic prophylaxis after extraction of urinary catheter prevents urinary tract infections: a systematic review and meta-analysis

Lin-Hu Liu, Z. Jian, Hong Li, Kunjie Wang

American Journal of Infection Control, 2020

8 citations

Abstract

OBJECTIVE

To investigate the effect of antibiotic prophylaxis for consequent urinary tract infections (UTIs) after extraction of urinary catheter and further explore the association between the outcome and clinical characteristics of patients.

METHODS

We systematically searched PubMed, Cochrane Library, EMBASE, and ClinicalTrials.gov databases through March 2020. Studies were included if they inquired into antibiotic prophylaxis for UTIs after extraction of a temporary (≤14 days) urinary catheter. We used fixed-effect models to obtain pooled risk ratio (RR) estimates. Heterogeneity was evaluated with I2 value. Sensitivity analysis and subgroup analysis were also conducted to assess heterogeneity.

RESULTS

We finally included eight randomized controlled trials in our study. Only two studies showed that antibiotic prophylaxis can reduce the consequent UTIs after extraction of urinary catheters while six did not. Overall, antibiotic prophylaxis was associated with reduced UTIs (RR, 0.47, 95% CI 0.28 to 0.72, p<0.01, I2 = 31%). Subgroup analysis indicated that patients who are older than 60 (RR = 0.50, 95% CI: 0.33 to 0.76, p < 0.05, I2 = 29%) or received Trimethoprim/sulfamethoxazole (TMP/SMX) (RR = 0.21, 95% CI: 0.09 to 0.48, p < 0.01, I2 = 0%) or indwelling catheters for more than 5 days (RR = 0.34, 95% CI: 0.19 to 0.63, p < 0.01, I2 = 0%) could get more benefit from antibiotic prophylaxis after extraction of catheters.

CONCLUSIONS

Patients with catheters removed might get…

How strong is the evidence?

Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free