Prognostic stratification in myocardial infarction using the modified CONUT score: a multidimensional biomarker from the MIMIC-IV cohort
Weixu Yu, Yanting Luo, Qingyuan Cai, Jin Yang, Wanling Deng, Ruimin Dong, Xujing Xie

TL;DR
A new modified nutritional score called mCONUT improves prediction of heart attack outcomes by linking malnutrition severity to higher mortality risk.
Contribution
The modified CONUT score, incorporating non-HDL cholesterol, is introduced as a novel multidimensional biomarker for MI prognosis.
Findings
Patients with mCONUT ≥6 had significantly higher mortality rates at 180 days and 1 year.
The mCONUT score showed a linear dose-response relationship with mortality risk.
Tailored nutritional interventions are recommended based on mCONUT stratification.
Abstract
Malnutrition 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. In 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,…
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Taxonomy
TopicsNutrition and Health in Aging · Frailty in Older Adults · Folate and B Vitamins Research
