The atherogenic index of plasma plays an important role in predicting the prognosis of type 2 diabetic subjects undergoing percutaneous coronary intervention: results from an observational cohort study in China

• Published in: Cardiovascular diabetology Vol. 19; no. 1; pp. 23 - 11
• Main Authors: Qin, Zheng, Zhou, Kuo, Li, Yueping, Cheng, Wanjun, Wang, Zhijian, Wang, Jianlong, Gao, Fei, Yang, Lixia, Xu, Yingkai, Wu, Yafeng, He, Hua, Zhou, Yujie
• Format: Journal Article
• Language: English
• Published: London BioMed Central 21.02.2020; BMC
• Subjects: Angiology; Angioplasty; Atherogenic index of plasma; Cardiology; Cardiovascular disease; Cohort analysis; Diabetes; Diabetes mellitus; Insulin resistance; Major cardiovascular and cerebrovascular adverse events; Medical imaging; Medicine; Medicine & Public Health; Mortality; Observational studies; Original Investigation; Percutaneous coronary intervention; Type 2 diabetes mellitus; Beijing China; China; Major cardiovascular and cerebrovascular adverse events; Percutaneous coronary intervention; Type 2 diabetes mellitus; Atherogenic index of plasma
• ISSN: 1475-2840; 1475-2840
• DOI: 10.1186/s12933-020-0989-8

Background Many studies have reported the predictive value of the atherogenic index of plasma (AIP) in the progression of atherosclerosis and the prognosis of percutaneous coronary intervention (PCI). However, the utility of the AIP for prediction is unknown after PCI among type 2 diabetes mellitus (T2DM). Methods 2356 patients with T2DM who underwent PCI were enrolled and followed up for 4 years. The primary outcome was major cardiovascular and cerebrovascular adverse events (MACCEs), considered to be a combination of cardiogenic death, myocardial infarction, repeated revascularization, and stroke. Secondary endpoints included all-cause mortality, target vessel revascularization (TVR), and non-target vessel revascularization (non-TVR). Multivariate Cox proportional hazards regression modelling found that the AIP was correlated with prognosis and verified by multiple models. According to the optimal cut-off point of the ROC curve, the population was divided into high/low-AIP groups. A total of 821 pairs were successfully matched using propensity score matching. Then, survival analysis was performed on both groups. Results The overall incidence of MACCEs was 20.50% during a median of 47.50 months of follow-up. The multivariate Cox proportional hazards regression analysis before matching suggested that the AIP was an independent risk factor for the prognosis of T2DM after PCI (hazard ratio [HR] 1.528, 95% CI 1.100–2.123, P = 0.011). According to the survival analysis of the matched population, the prognosis of the high AIP group was significantly worse than that of the low AIP group (HR (95% CI) 1.614 (1.303–2.001), P < 0.001), and the difference was mainly caused by repeat revascularization. The low-density lipoprotein-cholesterol (LDL-C) level did not affect the prognosis of patients with T2DM (P = 0.169), and the effect of the AIP on prognosis was also not affected by LDL-C level (P < 0.001). Conclusions The AIP, a comprehensive index of lipid management in patients with T2DM, affects prognosis after PCI. The prognosis of diabetic patients with high levels of the AIP included more MACCEs and was not affected by LDL-C levels. It is recommended to monitor the AIP for lipid management in diabetic patients after PCI and ensure that the AIP is not higher than 0.318. Trial registration This is an observational cohort study that does not involve interventions. So we didn’t register. We guarantee that the research is authentic and reliable, and hope that your journal can give us a chance.