背景:左心室肥厚(LVH)是心力衰竭和心血管事件相关死亡率的关键因素。虽然糖尿病患者的LVH患病率有据可查,其在非糖尿病人群中的发生和危险因素在很大程度上仍未被研究.本研究通过调查非糖尿病患者LVH的独立危险因素来解决这一问题。
方法:这项横断面研究,一丝不苟地进行,利用来自强大而全面的来源的数据,DATADRYAD,在塞拉利昂数据库中,在2019年10月至2021年10月之间收集,包括LVH和各种变量。使用单变量分析对所有变量进行描述和筛选,斯皮尔曼相关性,和主成分分析(PCA)。血脂谱,包括总胆固醇(TC),甘油三酯(TG),高密度脂蛋白(HDL-C),非高密度脂蛋白(Non-HDL-C),低密度脂蛋白胆固醇(LDL-C),TC/HDL-C比值,TG/HDL-C比值,非HDL-C/HDL-C比值和LDL-C/HDL-C比值,哪些四分位数被视为分类变量,以最低四分位数作为参考类别。构建了三个调整模型以减轻其他变量的影响。为了保证模型的鲁棒性,受试者工作特征(ROC)曲线用于通过分析ROC曲线来计算截止值。进行敏感性分析以进一步验证发现。
结果:数据集包含来自2092个人的信息。在调整了可能影响结果的潜在因素后,我们发现TC(OR=2.773,95CI:1.805-4.26),非HDL-C(OR=2.74,95CI:1.7723-4.236),TC/HDL-C比率(OR=2.237,95CI:1.445-3.463),非HDL-C/HDL-C比率(OR=2.357,95CI:1.548-3.588),TG/HDL-C比值(OR=1.513,95CI:1.02~2.245)是LVH的独立危险因素。ROC曲线分析显示血脂对LVH、非HDL-C显示曲线下面积(AUC=0.6109),其次是TC(AUC=0.6084)。
结论:TC,非HDL-C,TC/HDL-C比值,非HDL-C/HDL-C比值,TG/HDL-C比值是非糖尿病患者LVH的独立危险因素。发现非HDL-C和TC是预测LVH患病率的重要指标。
BACKGROUND: Left ventricular hypertrophy (LVH) is a critical factor in heart failure and cardiovascular event-related mortality. While the prevalence of LVH in diabetic patients is well-documented, its occurrence and risk factors in non-diabetic populations remain largely unexplored. This study addresses this issue by investigating the independent risk factors of LVH in non-diabetic individuals.
METHODS: This cross-sectional study, conducted meticulously, utilized data from a robust and comprehensive source, DATADRYAD, in the Sierra Leone database, collected between October 2019 and October 2021, including LVH and various variables. All variables were described and screened using univariate analysis, Spearman correlation, and principal component analysis (PCA). The lipid profile, including total cholesterols (TC), triglycerides (TG), high-density lipoprotein (HDL-C), non-high-density lipoprotein (Non-HDL-C), and low-density lipoprotein cholesterol (LDL-C), TC/HDL-C ratio, TG/HDL-C ratio, Non-HDL-C /HDL-C ratio and LDL-C/HDL-C ratio, which quartiles were treated as categorical variables, with the lowest quartile serving as the reference category. Three adjusted models were constructed to mitigate the influence of other variables. To ensure the robustness of the model, receiver operating characteristic (ROC) curves were used to calculate the cutoff values by analyzing the ROC curves. A sensitivity analysis was performed to validate the findings further.
RESULTS: The dataset encompasses information from 2092 individuals. After adjusting for potential factors that could influence the results, we found that TC (OR = 2.773, 95%CI: 1.805-4.26), Non-HDL-C (OR = 2.74, 95%CI: 1.7723-4.236), TC/HDL-C ratio (OR = 2.237, 95%CI: 1.445-3.463), Non-HDL-C/HDL-C ratio (OR = 2.357, 95%CI: 1.548-3.588), TG/HDL-C ratio (OR = 1.513, 95%CI: 1.02-2.245) acts as independent risk factors of LVH. ROC curve analysis revealed the predictive ability of blood lipids for LVH, with Non-HDL-C exhibiting area under the curve (AUC = 0.6109), followed by TC (AUC = 0.6084).
CONCLUSIONS: TC, non-HDL-C, TC/HDL-C ratio, Non-HDL-C/HDL-C ratio, and TG/HDL-C ratio were independent risk factors of LVH in non-diabetic people. Non-HDL-C and TC were found to be essential indicators for predicting the prevalence of LVH.