AUTHOR=Yu Weixu , Luo Yanting , Cai Qingyuan , Yang Jin , Deng Wanling , Dong Ruimin , Xie Xujing 

TITLE=Prognostic stratification in myocardial infarction using the modified CONUT score: a multidimensional biomarker from the MIMIC-IV cohort

JOURNAL=Frontiers in Cardiovascular Medicine

VOLUME=Volume 12 - 2025

YEAR=2025

URL=https://www.frontiersin.org/journals/cardiovascular-medicine/articles/10.3389/fcvm.2025.1596575

DOI=10.3389/fcvm.2025.1596575

ISSN=2297-055X

ABSTRACT=BackgroundMalnutrition is increasingly recognized as a modifiable prognostic factor in myocardial infarction (MI), yet traditional nutritional assessment methods often fail to adequately capture lipid-related atherogenic risk. We introduced an innovative modified Controlling Nutritional Status (mCONUT) score, which replaces total cholesterol with non-HDL cholesterol, aiming to improve the stratification of atherosclerotic risk and to assess its prognostic utility in predicting MI outcomes.MethodsIn this retrospective cohort study, we analyzed a total of 3,730 patients diagnosed with MI, extracted from the MIMIC-IV database, and stratified them into Normal, Mild, and Worse groups based on the mCONUT score. After performing 1:1:1 propensity score matching, we selected 993 patients for comparative analysis. Multivariable Cox proportional hazards models, adjusted for clinical and demographic confounders, were employed to evaluate all-cause mortality at 180 days and 1 year.ResultsAmong 993 MI patients, the median age was 75 years (IQR 68–82) with 58.4% males (n = 580). Malnutrition severity (mCONUT ≥6) stratified prognostic risk: Worse group demonstrated progressive mortality increases (180-day: 13.9% vs. Normal 7.85%, p = 0.037; 1-year: 31.4% vs. 21.2%, p = 0.011), alongside lower BMI, extended hospitalization, reduced hypertension, higher CKD incidence, and diminished revascularization (all p < 0.05). Multivariable analyses confirmed graded mortality risk: 180-day (Model 1: adjusted HR 1.58, p = 0.009; Model 2: HR 1.46, p = 0.031) and 1-year (Model 1: HR 1.61, p = 0.002; Model 2: HR 1.52, p = 0.008). Consistency across subgroups was observed, with heightened vulnerability in males, hypertensives (interaction p = 0.004), diabetes and non-white individuals.ConclusionsThe mCONUT score has emerged as a robust multidimensional biomarker for predicting MI prognosis, with worse malnutrition (mCONUT ≥ 6) being significantly associated with a 46%–61% elevation in mortality risk, demonstrating a clear linear dose-response relationship. Routine screening and tailored nutritional interventions should be prioritized in modern MI management practices.