基于非高密度脂蛋白的图预测急性冠脉综合征冠状动脉搭桥术患者预后:一项单中心回顾性研究

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Chuang Li, Kuizheng He, Yixing Yang, Kuibao Li, Mulei Chen, Lefeng Wang, Xiaorong Xu, Weiming Li
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引用次数: 0

摘要

简介:非高密度脂蛋白胆固醇(non-HDL-C)是心血管疾病的次要治疗靶点,用于冠状动脉综合征(ACS)患者的剩余风险评估。本研究旨在确定既往冠状动脉旁路移植术(CABG)患者的非hdl - c与ACS和临床结果之间的关系。方法:我们回顾性分析468例既往冠脉搭桥合并ACS患者,并根据非hdl - c中位数水平将其分为两组。主要终点是主要不良心血管事件(mace),包括心血管死亡和复发性心肌梗死。Kaplan-Meier曲线、Cox比例风险回归和受限三次样条用于确定非hdl - c与mace之间的关系。采用随时间变化的受试者工作特征(ROC)曲线和净重分类改善(NRI)评估非hdl - c的nomogram辨析和重分类。结果:平均随访744.5天,非hdl - c与mace的发生独立相关(风险比[HR] = 5.01, 95%可信区间[CI] = 1.65 ~ 15.24;P = 0.005)。样条曲线显示非hdl - c与mace呈线性关系(p-非线性:0.863)。连续两年mace患者术前cabg - acs非hdl曲线下的时间依赖面积分别为91.7 (95% CI: 85.5-97.9)和91.5 (95% CI: 87.3-95.7)。NRI分析显示,先前的cabg - acs模型提高了1年和2年mace的再分类能力(分别为22.4%和7%,p < 0.05)。讨论:非高密度脂蛋白与既往冠脉搭桥合并ACS患者的mace风险独立相关。基于非hdl - c和5个方便变量的prior-CABG-ACS nomogram可对MACE的发生进行有效且稳定的预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Nomograms Based on Non-High-Density Lipoprotein to Predict Outcomes in Patients with Prior Coronary Artery Bypass Grafting with Acute Coronary Syndrome: A Single-Center Retrospective Study.

Nomograms Based on Non-High-Density Lipoprotein to Predict Outcomes in Patients with Prior Coronary Artery Bypass Grafting with Acute Coronary Syndrome: A Single-Center Retrospective Study.

Nomograms Based on Non-High-Density Lipoprotein to Predict Outcomes in Patients with Prior Coronary Artery Bypass Grafting with Acute Coronary Syndrome: A Single-Center Retrospective Study.

Nomograms Based on Non-High-Density Lipoprotein to Predict Outcomes in Patients with Prior Coronary Artery Bypass Grafting with Acute Coronary Syndrome: A Single-Center Retrospective Study.

Introduction: Non-high-density-lipoprotein cholesterol (non-HDL-C) is a secondary therapeutic target in cardiovascular diseases and is used for residual risk assessment in patients with coronary artery syndrome (ACS). This study was designed to determine the association between non-HDL-C in patients with prior coronary artery bypass graft (CABG) with ACS and clinical outcomes.

Methods: We retrospectively analyzed 468 patients with prior CABG with ACS and categorized them into two groups based on the median non-HDL-C level. The primary endpoints were major adverse cardiovascular events (MACEs), including cardiovascular death and recurrent myocardial infarction. Kaplan-Meier curves, Cox proportional-hazard regressions, and restricted cubic splines were used to determine the association between non-HDL-C and MACEs. The discrimination and reclassification of the nomogram based on non-HDL-C were assessed using time-dependent receiver operating characteristic (ROC) curves and net reclassification improvement (NRI).

Results: During the average follow-up time of 744.5 days, non-HDL-C was independently associated with the occurrence of MACEs (hazard ratio [HR] = 5.01, 95% confidence interval [CI] = 1.65-15.24; p = 0.005) after adjusting for other lipid parameters. The spline curves indicated a linear relationship between non-HDL-C and MACEs (p-nonlinear: 0.863). The time-dependent areas under the ROC curves of prior-CABG-ACS nomograms containing non-HDL regarding MACEs in two consecutive years were 91.7 (95% CI: 85.5-97.9) and 91.5 (95% CI: 87.3-95.7), respectively. The NRI analysis indicated that the prior-CABG-ACS model improved the reclassification ability for 1- and 2-year MACEs (22.4% and 7%, p < 0.05, respectively).

Discussion: Non-HDL is independently associated with the risk of MACEs in patients with prior CABG with ACS. The prior-CABG-ACS nomogram based on non-HDL-C and five convenient variables generates valid and stable predictions of MACE occurrence.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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