4.6 Review

Prognostic nutritional index and prognosis of patients with coronary artery disease: A systematic review and meta-analysis

Journal

FRONTIERS IN NUTRITION
Volume 10, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fnut.2023.1114053

Keywords

acute coronary syndrome; myocardial infarction; PCI; nutrition; prognosis; mortality

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This review assessed the predictive value of prognostic nutritional index (PNI) on mortality and major adverse cardiac events (MACE) in coronary artery disease (CAD) patients. The meta-analysis found that low PNI was associated with higher mortality and incidence of MACE, while higher PNI was associated with lower mortality and incidence of MACE in CAD patients.
Background: This review assessed if prognostic nutritional index (PNI) can predict mortality and major adverse cardiac events (MACE) in coronary artery disease (CAD) patients.Methods: PubMed, Web of Science, Scopus, and Embase were searched up to 1st November 2022 for all types of studies reporting adjusted associations between PNI and mortality or MACE in CAD patients. A random-effect meta-analysis was conducted for PNI as categorical or continuous variable. Subgroup analysis were conducted for multiple confounders.Results: Fifteen studies with 22,521 patients were included. Meta-analysis found that low PNI was a significant predictor of mortality in CAD patients as compared to those with high PNI (HR: 1.67 95% CI: 1.39, 2.00 I-2 = 95% p < 0.00001). Increasing PNI scores were also associated with lower mortality (HR: 0.94 95% CI: 0.91, 0.97 I-2 = 89% p = 0.0003). Meta-analysis demonstrated that patients with low PNI had significantly higher incidence of MACE (HR: 1.57 95% CI: 1.08, 2.28 I-2 = 94% p = 0.02) and increasing PNI was associated with lower incidence of MACE (HR: 0.84 95% CI: 0.72, 0.92 I-2 = 97% p = 0.0007). Subgroup analyses showed mixed results.Conclusion: Malnutrition assessed by PNI can independently predict mortality and MACE in CAD patients. Variable PNI cut-offs and high inter-study heterogeneity are major limitations while interpreting the results. Further research focusing on specific groups of CAD and taking into account different cut-offs of PNI are needed to provide better evidence.

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