Predictive Efficacy of the Index of Microcirculatory Resistance for Acute Allograft Rejection and Cardiac Events After Heart Transplantation: A Systematic Review and Meta-Analysis
DOI:
https://doi.org/10.1532/hsf.4899Keywords:
index of microcirculatory resistance (IMR), acute allograft rejection (AAR), heart transplantation, predictive efficacy, meta-analysisAbstract
Background: In patients treated by heart transplantation, the index of microcirculatory resistance (IMR) has been found to have predictive potential for subsequent acute allograft rejection (AAR) and long-time cardiac events. When consulting related literature, the studies mostly were single-center with small sample sizes. The question of whether IMR can be utilized as a predictive biomarker is becoming increasingly contentious. To confirm the predictive efficacy of IMR, researchers did a systematic review and meta-analysis.
Method: From inception to April 2022, PubMed, EMBASE, Cochrane Library, Web of Science, Ovid, ProQuest, and Scopus systematically were searched. The results were presented as pooled ratio rate (RR) with 95% confidence intervals (CI). Assessment of the quality, heterogeneity analyses, and publication bias analysis also were performed.
Results: A total of 616 patients were studied in five trials. There were significant differences in subsequent AAR (RR = 4.08; 95% CI: 2.69~6.17; P = 0.000) or long-time cardiac events (RR=2.14; 95% CI: 1.44~3.19; P = 0.000) between IMR-high and IMR-low patients in the forest plots. Patients treated with heart transplantation in the high IMR group had better predictive efficacy than the low IMR group.
Conclusions: High IMR could predict the events of subsequent AAR and cardiac events after heart transplantation. This will help reduce the occurrence of adverse events and personalize treatment for patients.
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