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Background <p>The long-term prognosis of patients with non-ST-elevation acute coronary syndrome (NSTE–ACS) with concomitant mild-to-moderate aortic regurgitation (AR) remains poorly understood in contemporary cardiovascular practice. Consequently, we aimed to develop and externally validate a novel prognostic model for predicting Major Adverse Cardiovascular Events (MACE) in NSTE–ACS patients.</p> Methods <p>This multicenter retrospective cohort study involved 719 patients with a confirmed diagnosis of NSTE–ACS complicated with mild-to-moderate AR across four tertiary cardiovascular centers between January 2018 and December 2020. The primary endpoint was MACE occurrence during follow-up.</p> Results <p>Based on institutional enrollment, the subjects were stratified into two groups: training (<i>n</i> = 466) and independent external validation (<i>n</i> = 253) cohorts. The predictive model was developed using four independent predictors [diabetes mellitus (DM), neutrophil-to-lymphocyte ratio (NLR), N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels, and number of coronary arteries with ≥ 50% stenosis], which were identified through a two-step screening process involving LASSO regression and Boruta algorithm analysis, and multivariable Cox regression analysis. The prognostic nomogram also exhibited favorable predictive performance with good discrimination, calibration, and potential clinical utility, with corresponding Area Under the Receiver Operating Characteristic values of 0.784 (95% CI 0.663–0.904) and 0.786 (95% CI 0.705–0.868). Calibration plots and decision curve analysis suggested good agreement between predicted and observed risks and indicated potential clinical usefulness across relevant threshold probabilities. An interactive tool was further developed to facilitate individualized risk estimation.</p> Conclusions <p>Our multimodal data-derived nomogram demonstrated robust predictive accuracy for 2- and 3-year MACE occurrence in NSTE–ACS patients with concomitant mild-to-moderate AR.</p>

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Nomogram-based risk stratification model for non-ST-elevation acute coronary syndrome patients with concomitant mild-to-moderate aortic regurgitation: insights from a multicenter cohort study

  • 期刊论文

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  • 发表日期：

    2026年8月3日

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  • Peng Zhao,
  • Wenqiang Fang,
  • Hui Li,
  • Bowen Zhou,
  • Tongjian Zhu,
  • Bing Wu,
  • Jun Wang,
  • Jinjun Liu

摘要

Background

The long-term prognosis of patients with non-ST-elevation acute coronary syndrome (NSTE–ACS) with concomitant mild-to-moderate aortic regurgitation (AR) remains poorly understood in contemporary cardiovascular practice. Consequently, we aimed to develop and externally validate a novel prognostic model for predicting Major Adverse Cardiovascular Events (MACE) in NSTE–ACS patients.

Methods

This multicenter retrospective cohort study involved 719 patients with a confirmed diagnosis of NSTE–ACS complicated with mild-to-moderate AR across four tertiary cardiovascular centers between January 2018 and December 2020. The primary endpoint was MACE occurrence during follow-up.

Results

Based on institutional enrollment, the subjects were stratified into two groups: training (n = 466) and independent external validation (n = 253) cohorts. The predictive model was developed using four independent predictors [diabetes mellitus (DM), neutrophil-to-lymphocyte ratio (NLR), N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels, and number of coronary arteries with ≥ 50% stenosis], which were identified through a two-step screening process involving LASSO regression and Boruta algorithm analysis, and multivariable Cox regression analysis. The prognostic nomogram also exhibited favorable predictive performance with good discrimination, calibration, and potential clinical utility, with corresponding Area Under the Receiver Operating Characteristic values of 0.784 (95% CI 0.663–0.904) and 0.786 (95% CI 0.705–0.868). Calibration plots and decision curve analysis suggested good agreement between predicted and observed risks and indicated potential clinical usefulness across relevant threshold probabilities. An interactive tool was further developed to facilitate individualized risk estimation.

Conclusions

Our multimodal data-derived nomogram demonstrated robust predictive accuracy for 2- and 3-year MACE occurrence in NSTE–ACS patients with concomitant mild-to-moderate AR.