目的:支架内再狭窄(ISR)被认为是冠心病(CHD)支架置入的关键限制因素。最近的研究表明,空腹残留胆固醇(RC)已被证明对冠心病有重大影响。不幸的是,没有太多数据来证明RC和ISR之间的关系。然后,分析RC对冠心病患者支架内再狭窄的预测价值。
方法:为了探索RC和ISR之间的关系,我们设计了一项回顾性研究,对药物洗脱支架(DES)植入后的冠心病患者,结合来自公共数据库的数据,并通过比较光学子集与最小绝对收缩和选择算子(LASSO)回归来选择最佳拟合模型。
结果:对上述两个模型的分析表明,光学子集最优子集模型,基于RC,肌酸,糖尿病史,吸烟,多血管病变(2血管或更多病变),外周血管病变(PAD),还有血尿酸,有更好的拟合(AUC=0.68),在上述两个模型中,RC是ISR的独立风险因素。尽管有其局限性,这项研究确实表明RC对ISR具有良好的预测价值。
结论:残余胆固醇是经皮冠状动脉介入治疗(PCI)后支架内再狭窄的独立危险因素,是ISR的可靠预测因子。
OBJECTIVE: In-stent restenosis (ISR) is regarded as a critical limiting factor in stenting for coronary heart disease (CHD). Recent research has shown that fasting residual cholesterol (
RC) has been shown to have a substantial impact on coronary heart disease. Unfortunately, there have not been much data to bear out the relationship between
RC and ISR. Then, the predictive value of
RC for in-stent restenosis in patients with coronary heart disease was analyzed.
METHODS: Aiming to explore the relationship between
RC and ISR, we designed a retrospective study of patients with CHD after drug-eluting stent (DES) implantation, combining the data from a public database and selecting the best-fitting model by comparing the optical subset with least absolute shrinkage and selection operator (LASSO) regression.
RESULTS: Analysis of the abovementioned two models showed that the optical subset optimal subset model, which was based on RC, creatine, history of diabetes, smoking, multi-vessel lesions (2 vessels or more lesions), peripheral vascular lesions (PAD), and blood uric acid, had a better fit (AUC = 0.68), and that RC was an independent risk factor for ISR in the abovementioned two models. Notwithstanding its limitation, this study does suggest that
RC has good predictive value for ISR.
CONCLUSIONS: Remnant cholesterol is an independent risk factor for in-stent restenosis after percutaneous coronary intervention (PCI) and is a reliable predictor of ISR.