接受诊断性血管造影的年轻患者的血脂参数和冠状动脉疾病

A. Jayaram, K. Nayak, Sudhakar M Rao, Jyothi Samanth, Sneha T Kvellur, Adamya Saleel, Y. Almalki, Nirlip Gajiwala
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引用次数: 2

摘要

在疑似冠心病的年轻患者中,了解血脂水平与冠心病(CAD)严重程度之间的关系至关重要。年轻和老年冠心病患者的临床表现、血脂和严重程度可能不同。Friesinger (FR)指数是评价冠状动脉病变程度和严重程度的重要工具。方法:本研究为单中心回顾性研究,纳入40岁以下接受诊断性冠状动脉造影的患者。估计人口统计学变量、血脂和FR指数。根据FR指数0分、1-4分、5-10分、11-15分将患者分为4组。结果:共158例患者(年龄平均值±标准差;(35.65±3.81)岁。在人口统计学变量中,性别(P = 0.03)和身体质量指数(BMI) (P < 0.001)与FR指数相关。此外,总胆固醇(P < 0.001)、低密度胆固醇(LDL)胆固醇(P < 0.001)、非高密度胆固醇(non-HDL) (P < 0.001)和甘油三酯(TG) /非高密度胆固醇比值(P = 0.004)在FR组间差异均有统计学意义。Logistic回归分析显示,只有糖尿病(P = 0.02)和BMI (P = 0.004)是FR指数对冠状动脉病变程度和严重程度的显著预测因子。结论:总胆固醇、低密度脂蛋白和非高密度脂蛋白胆固醇之间存在明显的直接关系,而与TG/非高密度脂蛋白比值呈负相关。糖尿病和BMI也起着非常重要的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lipid Profile Parameters and Coronary Artery Disease in Young Patients Undergoing Diagnostic Angiography
Introduction: It is vital to understand the association between lipid profile and the severity of coronary artery disease (CAD) in young patients with suspected CAD. The clinical presentation, lipid profile and severity of CAD may differ in patients who develop CAD at young age and those at older age. Friesinger (FR) index is an important tool to assess the extent and severity of coronary artery lesions. Methods: This study was a single center retrospective study involving patients below 40 years who underwent diagnostic coronary angiography. Demographic variables, lipid profile and FR index were estimated. Patients were divided into four groups based on the FR index scores of 0, 1–4, 5–10 and 11-15, respectively. Results: A total of 158 patients (Mean ± SD of age; 35.65 ± 3.81 years) were included in the study. Among demographic variables, gender (P = 0.03) and body mass index (BMI) (P < 0.001) were found to be associated with FR index. In addition, total cholesterol (P < 0.001), low density cholesterol (LDL) cholesterol (P < 0.001), non-high density cholesterol (non-HDL) (P < 0.001) and ratio of triglycerides (TG) /non-HDL cholesterol (P = 0.004) showed significant differences between the FR groups. Logistic regression analysis showed that only diabetes (P = 0.02) and BMI (P = 0.004) were significant predictors of the extent and severity of coronary artery lesions in terms of FR index. Conclusions: A strong direct relationship was observed between total cholesterol, LDL and non HDL cholesterol while a negative correlation with the TG/non HDL ratio. Diabetes and BMI also play a very significant role.
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