Jin Kaiqin, Ma Zijun, Zhao Chuanglu, Zhou Xintao, Xu Hao, Li Dongfeng, Min Xinwen, Yang Handong, Wu Wenwen, Zhong Jixin, Chen Jishun, Chen Jun
Sinopharm Dongfeng General Hospital (Hubei Clinical Research Center of Hypertension), Hubei Key Laboratory of Wudang Local Chinese Medicine Research, Hubei University of Medicine, Shiyan, 442000, Hubei, China.
School of Public Health, Hubei University of Medicine, Shiyan, 442000, Hubei, China.
Sci Rep. 2025 Feb 19;15(1):6128. doi: 10.1038/s41598-025-90816-4.
The atherogenic index of plasma (AIP) is a recent biomarker linked to atherosclerosis that has been validated as a novel indicator for myocardial infarction (MI). However, the relationship between AIP and the severity of coronary artery disease (CAD) in MI patients is still ambiguous, particularly among individuals with different glucose metabolic conditions. A total of 741 participants who were immediately assessed with coronary angiography upon admission and diagnosed with acute MI were recruited. The severity of CAD was assessed based on the number of narrowed vessels. AIP tertiles were used to divide the patients into three groups (T1: AIP < 0.030; T2: 0.030 ≤ AIP ≤ 0.316; T3: AIP > 0.316). The American Diabetes Association's guidelines define three types of glucose metabolic state: diabetes mellitus (DM), prediabetes (Pre-DM), and normal glucose regulation (NGR). Logistic regression analysis was utilized to confirm an association between AIP and CAD severity in MI patients. ROC curves were employed to evaluate the diagnostic utility of AIP for CAD severity in MI patients. In MI patients, a statistically significant correlation was found between AIP and the severity of CAD, with logistic regression analysis revealing a strong association (OR: 2.055; 95% CI: 1.189-3.550; P = 0.009). Following adjustments for risk factors in the logistic regression model, AIP remained an independent predictor of multi-vessel CAD (OR: 2.902;95% CI: 1.555-5.521 ; P < 0.001). Moreover, compared with the T1 group, the odds ratios for multi-vessel CAD in the T2 and T3 groups were 2.039 (95% CI: 1.321-3.175; P = 0.001) and 2.087 (95% CI: 1.317-3.340; P = 0.001), respectively. The area under the curve for predicting CAD severity with AIP was 0.568 (95% CI: 0.520-0.616; p = 0.006). In addition, a significant association was observed between AIP and an increased risk of multi-vessel CAD in the Pre-DM group. In MI patients, AIP is closely associated with the risk of multi-vessel CAD and the prediction of the severity of CAD. In Pre-DM patients, AIP is clearly associated with the severity of CAD, whereas this association is absent in the NGR and DM groups.
血浆致动脉粥样硬化指数（AIP）是一种最近与动脉粥样硬化相关联的生物标志物，已被确认为心肌梗死（MI）的一种新型指标。然而，AIP与MI患者冠状动脉疾病（CAD）严重程度之间的关系仍不明确，尤其是在不同糖代谢状况的个体中。共招募了741名入院后立即接受冠状动脉造影评估并被诊断为急性MI的参与者。根据血管狭窄数量评估CAD的严重程度。采用AIP三分位数将患者分为三组（T1：AIP＜0.030；T2：0.030≤AIP≤0.316；T3：AIP＞0.316）。美国糖尿病协会的指南定义了三种糖代谢状态：糖尿病（DM）、糖尿病前期（Pre-DM）和正常血糖调节（NGR）。采用逻辑回归分析来确认MI患者中AIP与CAD严重程度之间的关联。采用受试者工作特征曲线（ROC曲线）来评估AIP对MI患者CAD严重程度的诊断效用。在MI患者中，发现AIP与CAD严重程度之间存在统计学显著相关性，逻辑回归分析显示存在强关联（比值比：2.055；95%置信区间：1.189 - 3.550；P = 0.009）。在逻辑回归模型中对危险因素进行调整后，AIP仍然是多支血管CAD的独立预测因子（比值比：2.902；95%置信区间：1.555 - 5.521；P＜0.001）。此外，与T1组相比，T2组和T3组多支血管CAD的比值比分别为2.039（95%置信区间：1.321 - 3.175；P = 0.001）和2.087（95%置信区间：1.317 - 3.340；P = 0.001）。用AIP预测CAD严重程度的曲线下面积为0.568（95%置信区间：0.520 - 0.616；P = 0.006）。此外，在糖尿病前期组中观察到AIP与多支血管CAD风险增加之间存在显著关联。在MI患者中，AIP与多支血管CAD风险及CAD严重程度的预测密切相关。在糖尿病前期患者中，AIP与CAD严重程度明显相关，而在NGR组和DM组中这种关联不存在。
