Liang Yansheng, Li Tingting, Li Jinlong, Han Haitao, Cheng Yanli
Department of Cardiovascular Medicine, Binzhou Medical University Hospital, Binzhou, China.
Department of Cardiovascular Medicine, The First School of Clinical Medical of Binzhou Medical University, Binzhou, China.
Front Cardiovasc Med. 2025 Jun 26;12:1574620. doi: 10.3389/fcvm.2025.1574620. eCollection 2025.
The roles of residual cholesterol (RC), red cell distribution width (RDW), and body mass index (BMI) in premature acute coronary syndrome (ACS) remain underexplored.
This study aimed to investigate the significance of RC, RDW, and BMI in the diagnosis of premature ACS.
A retrospective analysis was conducted on 418 ACS patients at Binzhou Medical University Hospital, categorized into early-onset and late-onset groups. Spearman correlation and multivariate logistic regression were used to evaluate associations. Receiver operating characteristic (ROC) curves assessed the diagnostic performance of RC, RDW, BMI, and their combination.
RC and BMI were positively correlated with premature ACS, while RDW was negatively correlated. All three were identified as independent risk factors. A nomogram model highlighted RC as the strongest predictor. The combined model significantly improved diagnostic accuracy, achieving an area under the curve (AUC) of 0.941.
RC, RDW, and BMI are independently associated with premature ACS, potentially reflecting inflammatory and metabolic mechanisms. Their combined use enhances diagnostic precision and may support early risk stratification in clinical practice.
残余胆固醇（RC）、红细胞分布宽度（RDW）和体重指数（BMI）在早发急性冠状动脉综合征（ACS）中的作用仍未得到充分研究。
本研究旨在探讨RC、RDW和BMI在早发ACS诊断中的意义。
对滨州医学院附属医院的418例ACS患者进行回顾性分析，分为早发组和晚发组。采用Spearman相关性分析和多因素logistic回归分析评估相关性。绘制受试者工作特征（ROC）曲线评估RC、RDW、BMI及其联合检测的诊断性能。
RC和BMI与早发ACS呈正相关，而RDW与早发ACS呈负相关。三者均被确定为独立危险因素。列线图模型显示RC是最强的预测因子。联合模型显著提高了诊断准确性，曲线下面积（AUC）为0.941。
RC、RDW和BMI与早发ACS独立相关，可能反映炎症和代谢机制。联合使用可提高诊断精度，并可能有助于临床实践中的早期风险分层。
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