Non-invasive remote ischemic preconditioning for patients with heart failure undergoing cardiac catheterization: a network meta-analysis of randomized controlled trials

Abstract

Abstract Objective This study aimed to evaluate the efficacy of six non-invasive remote ischemic preconditioning (RIPC) interventions during the nursing care of patients with heart failure (HF) prior to cardiac catheterization. Methods A comprehensive search of nine Chinese and English online databases was conducted from the date of their inception to June 2023 to identify randomized controlled trials (RCTs) investigating RIPC in patients with HF prior to cardiac catheterization. Two independent investigators screened the articles, extracted data, and assessed their quality. The risk of bias was evaluated using the Cochrane risk-of-bias tool, and a network meta-analysis was conducted using R software. Results Four trials involving 511 patients with a low risk of bias were included in the analysis. Six non-invasive RIPC interventions were identified, all demonstrating effectiveness in reducing the incidence of contrast-induced acute kidney injury (CI-AKI). Among these, Intervention F (applying up to 50 mmHg above the resting systolic pressure for 5 min to the dominant leg or upper limb, repeated three times with an 18-minute interval) was deemed optimal, although the timing of the procedure was not specified. Intervention D (applying up to 200 mmHg pressure to the upper limb for 5 min, repeated four times with 5-minute intervals, within 45 min prior to cardiac catheterization, ) was considered suboptimal. Conclusion Although Intervention D was recommended as the preferred option, none of the four trials examined its impact on the cardiac function of patients with HF. Large-scale, multi-center RCTs are required, with outcome indicators including cardiac function and the occurrence of CI-AKI, to better understand the therapeutic effects of RIPC on HF and reduce the incidence of CI-AKI. This will provide a more robust foundation for clinical practice.

Keywords

• Coronary arteriography
• HF
• Network meta-analysis
• Non-invasive
• R language
• Remote ischemic preconditioning