Evidence Hub

Reduced graft survival in renal transplant patients with urinary tract infections - a meta-analysis

Aimi D. K. Hamilton, Helle A. Prætorius

Danish Medical Journal, 2024

2,368 participants · 2 citations

Abstract

INTRODUCTION

Renal transplant patients are prone to developing urinary tract infections (UTIs). However, the potential effect of a UTI on renal graft loss remains unclear.

METHODS

We systematically surveyed the literature for a potential association between UTI and graft loss. Articles were identified in online databases using a specific search string, followed by post selection for meta-analysis following four inclusion criteria: 1) a clear definition of UTI and recurrent UTI, 2) n > 200, 3) patient age > 16 years and 4) inclusion of data on graft loss. Data on UTI and graft loss were extracted from the included studies for calculation of a combined weighted odds ratio (OR) using the Mantel-Haenszel method. This review was conducted according to the PRISMA 2020 statement.

RESULTS

Unfortunately, only eight of 108 papers met the inclusion criteria. These studies reported between 276 and 2,368 patients, primarily male, aged around 50 years. The two-year incidence of overall UTI varied from 16.5% at a 27.5-month follow-up to 30.1% at a 24-month follow-up from transplantation. Seven papers were included in the OR analysis; two found an association between UTI and graft loss and five did not. However, in the meta-analysis, the weighted OR for all seven studies was 1.340 (95% confidence interval: 1.050-1.720).

CONCLUSIONS

Filtering the literature for a strict definition of UTI allowed us to establish an association between UTI and graft loss in renal transplant patients. However,…

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. Reported size: 2,368 participants or records.

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