胰岛素抵抗的代谢评分可预测早发冠心病的主要不良心血管事件

Dachuan Guo, Chong Zhang, Mingyan Zhang, Zhenguo Wu, Xiaoyu Liu, Ye-min Zhang, Li Liu, Meili Sun, Jianmin Yang
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摘要

背景:胰岛素抵抗代谢评分(METS-IR)指数是胰岛素抵抗(IR)的简单替代指标,与冠状动脉疾病(CAD)的存在和严重程度有关。然而,METS-IR 对早发 CAD 患者的预后意义仍不明确。本研究旨在探讨 METS-IR 在早发性 CAD 中的预后价值。方法:这项回顾性研究纳入了 2012 年 12 月至 2019 年 7 月期间确诊为早发型 CAD 的 582 例患者。中位随访时间为 63 个月(四分位间范围为 44-81 个月)。主要终点是主要不良心血管事件(MACE),定义为全因死亡、非致死性心肌梗死(MI)、重复冠状动脉血运重建和非致死性卒中的复合。结果发生 MACE 的患者的 METS-IR 水平明显高于未发生 MACE 的患者(44.88±8.11 vs. 41.68±6.87,p<0.001)。基于 METS-IR tertiles 的 Kaplan-Meier 生存曲线显示出统计学上的显著差异(log-rank 检验,p<0.001)。在完全调整模型中,METS-IR 每增加 SD,MACE 的危险比(95% CI)为 1.41(1.16-1.72),基于 METS-IR tertiles 的 MACE 趋势 P 为 0.001。对 METS-IR 进行的时间依赖性接收器特征(ROC)分析显示,2 年时曲线下面积(AUC)为 0.74,4 年时曲线下面积为 0.69,6 年时曲线下面积为 0.63。结论:METS-IRMETS-IR 是预测早发 CAD 患者 MACE 的可靠预后指标。因此,METS-IR 可被视为一种新颖、经济、可靠的指标,用于早发 CAD 的风险分层和早期干预。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Metabolic score for insulin resistance predicts major adverse cardiovascular event in premature coronary artery disease
Background: The Metabolic Score for Insulin Resistance (METS-IR) index serves as a simple surrogate marker for insulin resistance (IR) and is associated with the presence and severity of coronary artery disease (CAD). However, the prognostic significance of METS-IR in patients with premature CAD remains unclear. This study aims to investigate the prognostic value of METS-IR in premature CAD. Methods: This retrospective study included 582 patients diagnosed with premature CAD between December 2012 and July 2019. The median follow-up duration was 63 months (interquartile range, 44-81 months). The primary endpoint was Major Adverse Cardiovascular Events (MACE), defined as a composite of all-cause death, non-fatal myocardial infarction (MI), repeat coronary artery revascularization, and non-fatal stroke. Results: Patients with MACE had significantly higher METS-IR levels than those without MACE (44.88±8.11 vs. 41.68±6.87, p<0.001). Kaplan-Meier survival curves based on METS-IR tertiles demonstrated a statistically significant difference (log-rank test, p<0.001). In the fully adjusted model, the Hazard Ratio (95% CI) for MACE was 1.41 (1.16-1.72) per SD increase in METS-IR, and the P for trend based on METS-IR tertiles was 0.001 for MACE. Time-dependent Receiver Operator Characteristic (ROC) analysis of METS-IR yielded an Area Under the Curve (AUC) of 0.74 at 2 years, 0.69 at 4 years, and 0.63 at 6 years. Conclusions: METS-IR serves as a reliable prognostic predictor of MACE in patients with premature CAD. Therefore, METS-IR may be considered a novel, cost-effective, and dependable indicator for risk stratification and early intervention in premature CAD.
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