■使用非传统的脂质参数来评估临床状况正在出现;然而,尚无研究确定这些参数的阈值,以识别心血管疾病(CVD)风险.本研究旨在建立非传统脂质参数的阈值,并测试其识别CVD危险因素的能力。
■一项针对女性的横断面研究(n=369,年龄:46±13岁,进行体重指数(BMI):26.31±2.54kg/m2)。收集血样并检测高密度脂蛋白胆固醇(HDL-C),低密度脂蛋白胆固醇,总胆固醇(TC),和甘油三酯(TG)进行了估计。随后,计算了非传统的脂质参数,即非HDL-C,Castelli的风险指数II(CRI-II),CRI-I,脂蛋白联合指数(LCI),致动脉粥样硬化指数(AI),和血浆AI(AIP)。
■基于TC(≥200mg/dL),非HDL-C的导出阈值,CRI-II,CRI-I,LCI,AI,AIP为139毫克/分升,分别为2.29、3.689、58,066、2.687和0.487。同样,基于TG的阈值(≥150mg/dL),非HDL-C的导出阈值,CRI-II,CRI-I,LCI,AI,AIP为127mg/dL,分别为2.3、3.959、58、251、2.959和0.467。在考虑的五个风险因素中,非HDL-C,CRI-II,CRI-I,LCI和AI阈值能够识别四个风险因素(身体活动,血压,BMI,和年龄)和AIP最多能够与两个危险因素(血压和BMI)相关联。
■非传统脂质参数的衍生阈值能够区分CVD风险组和非风险组,提示可能使用这些阈值来研究CVD风险。
UNASSIGNED: The use of nontraditional lipid parameters for assessing clinical conditions is emerging; however, no study has identified thresholds for those parameters for the identification of cardiovascular disease (CVD) risk. The present study aimed to establish the thresholds of nontraditional lipid parameters and test its ability to identify CVD risk factors.
UNASSIGNED: A cross-sectional study in women (n = 369, age: 46 ± 13 years, body mass index (BMI): 26.31 ± 2.54 kg/m2) was conducted. Blood samples were collected and high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol, total cholesterol (TC), and triglycerides (TGs) were estimated. Subsequently, nontraditional lipid parameters were calculated, namely non-HDL-C, Castelli\'s Risk Index II (CRI-II), CRI-I, lipoprotein combined index (LCI), atherogenic index (AI), and AI of plasma (AIP).
UNASSIGNED: Based on TC (≥200 mg/dL), the derived thresholds for non-HDL-C, CRI-II, CRI-I, LCI, AI, and AIP were 139 mg/dL, 2.29, 3.689, 58,066, 2.687, and 0.487, respectively. Similarly, based on the threshold of TG (≥150 mg/dL), the derived thresholds for non-HDL-C, CRI-II, CRI-I, LCI, AI, and AIP were 127 mg/dL, 2.3, 3.959, 58,251, 2.959, and 0.467, respectively. Out of considered five risk factors, non-HDL-C, CRI-II, CRI-I, LCI, and AI thresholds were capable in identifying four risk factors (physical activity, blood pressure, BMI, and age) and AIP was able to associate with two risk factors at most (blood pressure and BMI).
UNASSIGNED: The derived thresholds of nontraditional lipid parameters were capable of differentiating between CVD risk and nonrisk groups suggesting the possible use of these thresholds for studying CVD risk.