Impact of central-line-associated bloodstream infections and catheter-related bloodstream infections: a systematic review and meta-analysis

Abstract

Background: Accurate effect estimates are needed to inform input parameters of health economic models. Central-line-associated bloodstream infections (CLABSIs) and catheter-related bloodstream infections (CRBSIs) are different definitions used for central-line bloodstream infections and may represent dissimilar patients, but previous meta-analyses did not differentiate between CLABSIs/CRBSIs.

Aim: To determine outcome effect estimates in CLABSI and CRBSI patients, compared to uninfected patients.

Methods: PubMed, Embase, and CINAHL were searched from January 2000 to March 2024 for full-text studies reporting all-cause mortality and/or hospital length of stay (LOS) in adult inpatients with and without CLABSI/CRBSI. Two investigators independently reviewed all potentially relevant studies and performed data extraction. Odds ratio for mortality and mean difference in LOS were pooled using random-effects models. Risk of study bias was assessed using ROBINS-E.

Findings: Thirty-six studies were included. Sixteen CLABSI and 12 CRBSI studies reported mortality. The mortality odds ratios of CLABSIs and CRBSIs, compared to uninfected patients, were 3.19 (95% CI: 2.44, 4.16; I² = 49%) and 2.47 (95% CI: 1.51, 4.02; I² = 82%), respectively. Twelve CLABSI and eight CRBSI studies reported hospital LOS; only three CLABSI studies and two CRBSI studies accounted for the time-dependent nature of CLABSIs/CRBSIs. The mean differences in LOS for CLABSIs and CRBSIs compared to uninfected patients were 16.14 days (95% CI: 9.27, 23.01; I² = 91%) and 16.26 days (95% CI: 10.19, 22.33; I² = 66%), respectively.

Conclusion: CLABSIs and CRBSIs increase mortality risk and hospital LOS. Few published studies accounted for the time-dependent nature of CLABSIs/CRBSIs, which can result in overestimation of excess hospital LOS.

Keywords: Central-line bloodstream infections; Healthcare-associated infections; Outcomes analysis.