Bai Shiru, Chen Tianlei, Li Yanru, Li Xinning, Du Rongpin
Department of Cardiology, Hebei General Hospital, Shijiazhuang, China.
Faculty of Health, Hebei Medical University First Affiliated Hospital, Shijiazhuang, China.
JRSM Cardiovasc Dis. 2025 May 14;14:20480040251341155. doi: 10.1177/20480040251341155. eCollection 2025 Jan-Dec.
Few studies have compared the prognostic value of the triglyceride glucose (TyG) index and atherogenic index of plasma (AIP) in patients with acute coronary syndrome (ACS) undergoing percutaneous coronary intervention (PCI). We aimed to compare the prognostic value of the TyG index, AIP, and combined diagnosis in patients with ACS undergoing PCI.
Patients with ACS who underwent PCI were enrolled and divided into two groups according to major adverse cardiovascular and cerebrovascular events (MACCEs). Univariate and multivariate Cox proportional hazard regressions were performed to determine independent risk factors for MACCEs. The area under the receiver operating characteristic curve (AUC) was used to evaluate the diagnostic value of the TyG index, AIP, and combined prediction.
The study included 114 patients. Multivariate Cox regression revealed that the TyG index and AIP were independent predictors of MACCEs. The AUC of the TyG index and AIP were 0.710 (95% confidence interval [CI]: 0.618-0.791) and 0.626 (95% CI: 0.531-0.715), respectively, and the optimal cutoff points were 8.83 and 0.30, respectively. The difference between the TyG index and AIP was not significant. The AUC of the combined diagnosis was 0.706 (95% CI: 0.614-0.788), with no significant improvement compared with the TyG index or AIP.
Both the TyG index and AIP were independent predictors of MACCEs in ACS patients undergoing PCI. The TyG index and AIP had similar predictive values for MACCEs, but the combined prediction did not improve significantly.
很少有研究比较甘油三酯葡萄糖(TyG)指数和血浆致动脉粥样硬化指数(AIP)对接受经皮冠状动脉介入治疗(PCI)的急性冠状动脉综合征(ACS)患者的预后价值。我们旨在比较TyG指数、AIP以及联合诊断对接受PCI的ACS患者的预后价值。
纳入接受PCI的ACS患者,并根据主要不良心血管和脑血管事件(MACCE)分为两组。进行单因素和多因素Cox比例风险回归分析以确定MACCE的独立危险因素。受试者工作特征曲线(AUC)下面积用于评估TyG指数、AIP和联合预测的诊断价值。
该研究纳入了114例患者。多因素Cox回归显示,TyG指数和AIP是MACCE的独立预测因素。TyG指数和AIP的AUC分别为0.710(95%置信区间[CI]:0.618 - 0.791)和0.626(95%CI:0.531 - 0.715),最佳截断点分别为8.83和0.30。TyG指数和AIP之间的差异不显著。联合诊断的AUC为0.706(95%CI:0.614 - 0.788),与TyG指数或AIP相比无显著改善。
TyG指数和AIP都是接受PCI的ACS患者MACCE的独立预测因素。TyG指数和AIP对MACCE具有相似的预测价值,但联合预测没有显著改善。