Wang Yuxing, Yu Ming, Yang Song, Mei Jiajie, Liu Zhenzhu, Geng Zhaohong, Xie Wenli, Zhang Lijiao, Wang Hongyan, Niu Nan, Qu Peng
Department of Cardiology, The Second Hospital of Dalian Medical University, Dalian, Liaoning, China.
Cardiovasc Ther. 2025 Aug 3;2025:5528174. doi: 10.1155/cdr/5528174. eCollection 2025.
Calcific aortic valve disease (CAVD) is a prevalent heart valve disease. The ratio of two apolipoproteins with distinct functions, Apolipoprotein B/Apolipoprotein A1 (APOB/APOA1), has been proposed as a novel assessment index for the evaluation of cardiovascular diseases. The aim of this article is to discuss the role of lipid parameters such as APOB/APOA1 in CAVD and the risk factors for CAVD, to develop a predictive model for CAVD, and to evaluate the sensitivity and specificity of this model. Patients who initially presented to the Department of Cardiology of the Second Affiliated Hospital of Dalian Medical University between 1 January 2023 and 31 December 2023 were retrospectively identified and included in the study. Patients were divided into an aortic valve calcification group (111 cases) and a control group (201 cases) based on computed tomography (CT) findings. The clinical data, laboratory examination results, and chest CT images of the patients were collected and analyzed. A variety of statistical methods were used to analyze risk factors for CAVD, to construct a CAVD prediction model, and to assess its sensitivity and specificity. Lipid parameters APOA1, APOB/APOA1, cumulative low-density lipoprotein (LDL) exposure, and non-high-density lipoprotein/high-density lipoprotein (non-HDL/HDL) were significantly associated with aortic valve calcification. Age, history of diabetes, diastolic blood pressure (DBP), APOB/APOA1, Cystatin C (Cys-c), and neutrophil-to-lymphocyte ratio (NLR) are identified as independent risk factors for CAVD, and the combined model achieved an AUC of 0.796 for CAVD prediction, corresponding to a sensitivity of 0.769 and a specificity of 0.755. The lipid parameters APOA1, APOB/APOA1, cumulative LDL exposure, and non-HDL/HDL have been demonstrated to be associated with aortic valve calcification. Furthermore, APOB/APOA1 can be used for the prediction of CAVD, and the combination of APOB/APOA1 with age, history of diabetes, DBP, Cys-c, and NLR has better prediction performance for CAVD.
钙化性主动脉瓣疾病(CAVD)是一种常见的心脏瓣膜疾病。两种具有不同功能的载脂蛋白的比值,即载脂蛋白B/载脂蛋白A1(APOB/APOA1),已被提议作为评估心血管疾病的一种新的评估指标。本文旨在探讨脂质参数如APOB/APOA1在CAVD中的作用以及CAVD的危险因素,建立CAVD的预测模型,并评估该模型的敏感性和特异性。对2023年1月1日至2023年12月31日期间最初就诊于大连医科大学附属第二医院心内科的患者进行回顾性识别并纳入研究。根据计算机断层扫描(CT)结果将患者分为主动脉瓣钙化组(111例)和对照组(201例)。收集并分析患者的临床资料、实验室检查结果和胸部CT图像。采用多种统计方法分析CAVD的危险因素,构建CAVD预测模型,并评估其敏感性和特异性。脂质参数APOA1、APOB/APOA1、累积低密度脂蛋白(LDL)暴露量以及非高密度脂蛋白/高密度脂蛋白(non-HDL/HDL)与主动脉瓣钙化显著相关。年龄、糖尿病史、舒张压(DBP)、APOB/APOA1、胱抑素C(Cys-c)和中性粒细胞与淋巴细胞比值(NLR)被确定为CAVD的独立危险因素,联合模型对CAVD预测的曲线下面积(AUC)为0.796,对应敏感性为0.769,特异性为0.755。脂质参数APOA1、APOB/APOA1、累积LDL暴露量和non-HDL/HDL已被证明与主动脉瓣钙化有关。此外,APOB/APOA1可用于预测CAVD,APOB/APOA1与年龄、糖尿病史、DBP、Cys-c和NLR联合对CAVD具有更好的预测性能。
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