Cardiovascular disease risk in patients with elevated LDL-C levels: FH vs. non-FH.

IF 2.8 3区 医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS Frontiers in Cardiovascular Medicine Pub Date : 2024-10-24 eCollection Date: 2024-01-01 DOI:10.3389/fcvm.2024.1434392
Haomin Huang, Lamei Li, Anni Yang, Tao Chen, Ganwei Shi, Feng Li, Luya Wang, Gaojun Cai
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Abstract

Introduction: Coronary artery disease (CAD) remains the primary cause of death worldwide, and familial hypercholesterolemia (FH) is a common disease that leads to CAD. This study aimed to explore the difference in CAD risk between FH and non-FH patients with high low-density lipoprotein cholesterol (LDL-C) levels.

Methods: Individuals (≥18 years) who underwent coronary angiography (CAG) from June 2016 to September 2020 were consecutively enrolled. Participants with LDL-C levels ≥4.0 mmol/L were ultimately included in this study. For all participants, next-generation sequencing was performed with expanded gene panels including 11 genes (LDLR, APOB, PCSK9, LDLRAP1, ABCG5, ABCG8, LIPA, LPA, APOBR, LRPAP1, and STAP1).

Results: A total of 223 individuals were included in this study. According to the CAG findings, 199 CAD patients and 24 non-CAD patients were included. The proportions of FH genes, regardless of whether 3 major genes or all 11 genes were sequenced, were not significantly different between the CAD and non-CAD groups (P > 0.05). In addition, all CAD patients were divided into a triple vessel disease (TVD) group and a non-TVD group. The TVD group had a greater proportion of patients with mutations in 3 FH major genes (P < 0.05). In addition, TC, LDL-C and modified LDL-C (MLDL-C) levels were higher and the estimated glomerular filtration rate (eGFR) was lower in the TVD group than in the non-TVD group (all P < 0.05). However, multivariate logistic regression analyses revealed that only the eGFR was an independent risk factor for TVD (OR 0.99; 95% CI: 0.98-1.00, P < 0.05). To eliminate the impact of the eGFR, subgroup analysis was conducted, and the results indicated that among CAD patients in the high-eGFR group, having FH mutations in 3 major genes was an independent risk factor for TVD (OR 3.00; 95% CI: 1.16-7.79, P < 0.05). In total, 104 FH-related mutations were detected in this study.

Conclusions: FH mutation did not increase the rate of CAD in individuals with an MLDL-C level ≥4.0 mmol/L. However, among CAD patients (MLDL-C level ≥4.0 mmol/L) with almost normal renal function (≥87.4 ml/min/1.73 m2), the probability of enduring TVD in those with FH mutations in 3 major genes was 3.00 times greater than that in those without FH mutations.

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低密度脂蛋白胆固醇水平升高患者的心血管疾病风险:FH 与非 FH。
导言:冠状动脉疾病(CAD)仍然是全球死亡的主要原因,而家族性高胆固醇血症(FH)是导致CAD的常见疾病。本研究旨在探讨低密度脂蛋白胆固醇(LDL-C)水平较高的家族性高胆固醇血症患者与非家族性高胆固醇血症患者的冠状动脉疾病风险差异:连续纳入2016年6月至2020年9月期间接受冠状动脉造影术(CAG)的个体(≥18岁)。低密度脂蛋白胆固醇(LDL-C)水平≥4.0 mmol/L的参与者最终被纳入本研究。对所有参与者进行了新一代测序,扩增了包括11个基因(LDLR、APOB、PCSK9、LDLRAP1、ABCG5、ABCG8、LIPA、LPA、APOBR、LRPAP1和STAP1)在内的基因面板:本研究共纳入 223 人。结果:该研究共纳入 223 人,根据 CAG 研究结果,199 人为 CAD 患者,24 人为非 CAD 患者。无论对 3 个主要基因还是全部 11 个基因进行测序,FH 基因的比例在 CAD 组和非 CAD 组之间均无显著差异(P > 0.05)。此外,所有 CAD 患者被分为三血管疾病(TVD)组和非 TVD 组。TVD 组中 FH 3 个主要基因突变的患者比例更高(P P P P 结论:FH 基因突变并不会增加心血管疾病的发病率:在 MLDL-C 水平≥4.0 mmol/L 的个体中,FH 基因突变不会增加 CAD 的发病率。然而,在肾功能基本正常(≥87.4 ml/min/1.73 m2)的 CAD 患者(MLDL-C 水平≥4.0 mmol/L)中,3 个主要基因中的 FH 基因突变者患 TVD 的概率是无 FH 基因突变者的 3.00 倍。
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来源期刊
Frontiers in Cardiovascular Medicine
Frontiers in Cardiovascular Medicine Medicine-Cardiology and Cardiovascular Medicine
CiteScore
3.80
自引率
11.10%
发文量
3529
审稿时长
14 weeks
期刊介绍: Frontiers? Which frontiers? Where exactly are the frontiers of cardiovascular medicine? And who should be defining these frontiers? At Frontiers in Cardiovascular Medicine we believe it is worth being curious to foresee and explore beyond the current frontiers. In other words, we would like, through the articles published by our community journal Frontiers in Cardiovascular Medicine, to anticipate the future of cardiovascular medicine, and thus better prevent cardiovascular disorders and improve therapeutic options and outcomes of our patients.
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