ArticleHeart and vessels2025
Cut-off values of Geriatric Nutritional Risk Index for cardiovascular events in Japanese patients with acute myocardial infarction.
Article in Heart and vessels, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Clinical significance of geriatric nutritional risk index in risk stratification of acute myocarditis.Heart and vessels · 2026Article
- Association between the geriatric nutritional risk index and adverse post-extubation outcomes for critically ill older adults: a retrospective study.BMC pulmonary medicine · 2025Article
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Authors and funding
10 authors.
Funding
Abstract
The Geriatric Nutritional Risk Index (GNRI) is a straightforward nutritional risk assessment tool with an established relationship with poor prognosis in patients with heart failure. However, the utility of the GNRI in patients with acute myocardial infarction (AMI) remains unclear given the time-dependent changes in the pathophysiology of AMI and the selected endpoints. Accordingly, we aimed to evaluate the optimal cut-off values of the GNRI for cardiovascular events in patients with AMI. We used time-dependent receiver operating characteristic analysis to identify the optimal cut-off values for two endpoints, all-cause death and major adverse cardiac events (MACE: all-cause death, non-fatal myocardial infarction, hospitalization for heart failure, and stroke), over 4 years in 360 patients with AMI between 2012 and 2020. The cumulative incidence of MACE was 11.6%. The cut-off value of the GNRI for all-cause death was 82.7 (area under the curve [AUC], 0.834) at 3 months and 90.3 (AUC 0.854) at 4 years. The cut-off value of the GNRI for MACE was 83.0 (AUC 0.841) at 3 months and 95.3 (AUC 0.821) at 4 years. The GNRI demonstrated consistently high reliability relative to other indicators of AMI. Our findings indicated that the optimal cut-off value and reliability of the GNRI for cardiovascular events varied according to the endpoints and observation periods. GNRI emerges as a crucial predictor of prognosis for patients with AMI.
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