ArticleFrontiers in medicine2025
Exploring the prognostic value of the novel nutritional index for in-hospital mortality in acute coronary syndrome: a sex-specific analysis.
Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Observational
- Association of triglyceride-cholesterol-body weight index with in-hospital mortality in critically ill patients with heart failure.Scientific reports · 2026Article
- A novel nutritional index and risk of edentulism: evidence from cross-sectional, prospective, and trajectory analyses.Lipids in health and disease · 2026Article
- Association of a novel nutritional index, the triglyceride-cholesterol-body weight index (TCBI), with incident mild cognitive impairment: CHARLS 2011-2018.Frontiers in nutrition · 2026Article
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2 authors.
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Abstract
Background: Emerging evidence suggests that nutritional status plays a pivotal role in determining the prognosis of patients with acute coronary syndrome (ACS). This study aimed to investigate the relationship between a novel nutritional index, Triglycerides × Total Cholesterol × Body Weight Index (TCBI), and short-term prognosis in patients with ACS. Methods: A retrospective study was conducted using data from 5,277 ACS patients admitted to intensive care units of 208 United States hospitals in the eICU Collaborative Research Database (eICU-CRD) in 2014 and 2015. Patients were divided into three groups based on TCBI tertiles: Group 1 (< 1017.97), Group 2 (1017.97-2069.02), and Group 3 (> 2069.02). Results: Multivariate logistic regression analysis showed that after adjusting for 17 confounding variables, higher TCBI had significantly lower in-hospital mortality [Tertile 3 vs Tertile 1: OR (95% CI): 0.67 (0.48, 0.94), Conclusion: Higher TCBI was independently associated with decreased in-hospital mortality in ACS patients, particularly in male patients. TCBI, as a novel nutritional index, may serve as a practical tool for risk stratification and personalized management of ACS patients.
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