ArticleBMC cardiovascular disorders2025
Prognostic value of the Geriatric Nutritional Risk Index in mortality prediction among critically ill acute myocardial infarction patients.
Article in BMC cardiovascular disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Clinical significance of geriatric nutritional risk index in risk stratification of acute myocarditis.Heart and vessels · 2026Article
- Integrated assessment of preoperative nutritional, inflammatory, and metabolic biomarkers and early outcomes in geriatric hip fracture surgery: a retrospective matched study.BMC geriatrics · 2026Article
- Geriatric Nutritional Risk Index and risks of all-cause, cardiovascular, and diabetes-related mortality in adults with obesity: A nationally representative cohort study.American heart journal plus : cardiology research and practice · 2026Article
- Article
- Association between albumin-based nutritional inflammation indices and all-cause mortality in patients with severe pneumonia.BMC infectious diseases · 2026Article
- Comparison of Clinical Outcomes in Patients With Acute Myocardial Infarction Between Those With and Without Metabolic Dysfunction-Associated Fatty Liver Disease (MAFLD).Circulation reports · 2026Article
- Association of neutrophil-to-prognostic nutritional index ratio with long-term mortality in acute myocardial infarction from Chinese and US cohorts.Frontiers in nutrition · 2026Article
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Abstract
backgroundNutritional status is a key factor influencing outcomes in critically ill patients with acute myocardial infarction (AMI). This study investigated the association between the Geriatric Nutritional Risk Index (GNRI) and mortality among ICU-admitted AMI patients, as well as GNRI's potential to improve the predictive accuracy of current scoring systems.
methodsIn this retrospective cohort study, data from 5,506 ICU-admitted AMI patients were sourced from three open-access critical care databases. Based on GNRI scores, patients were grouped into two categories: GNRI ≤ 98 and GNRI > 98. Statistical tools such as logistic regression and Cox proportional hazards models assessed in-hospital and 30-day mortality. Kaplan-Meier survival curves and restricted cubic splines analyzed survival trends and dose-response relationships. Sensitivity analyses, including propensity score matching (PSM), inverse probability weighting (IPW), and dropping missing data analysis validated the robustness of findings. The receiver operating characteristic (ROC) curve compared GNRI's predictive ability with SOFA and APSIII scores. A sensitivity analysis was performed using a four-tier GNRI classification: no risk (> 98), low risk (92-98), moderate risk (82-<92), and major risk (< 82) to further explore its gradient relationship with mortality.
resultsPatients with GNRI ≤ 98 showed higher mortality rates for in-hospital (21.8% vs. 10.4%) and 30-day (22.5% vs. 10.7%) outcomes. GNRI displayed an inverse correlation with in-hospital mortality (OR 0.51, 95% CI 0.43-0.60) and 30-day mortality (HR 0.57, 95% CI 0.50-0.66), even after adjusting for confounders. Subgroup analysis emphasized GNRI's reliability as a predictive marker, particularly in patients with eGFR ≥ 90. ROC analysis confirmed GNRI's predictive performance (AUC = 0.64) and its enhancement of SOFA (AUC = 0.72) and APSIII (AUC = 0.66) scores (all p < 0.001). Sensitivity analyses reinforced GNRI's link to mortality.
conclusionGNRI serves as a robust predictor of in-hospital and 30-day mortality among critically ill AMI patients. Its integration with existing scoring systems improves risk stratification in this high-risk population.
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