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塞拉利昂非糖尿病个体左心室肥厚的独立危险因素:一项横断面研究。

Independent risk factors of left ventricular hypertrophy in non-diabetic individuals in Sierra Leone - a cross-sectional study.

机构信息

Department of Endocrine and Metabolic Diseases, Fourth Affiliated Hospital of Harbin Medical University, Harbin, 150001, China.

Department of Endocrinology, First Affiliated Hospital of Harbin Medical University, Harbin, 150001, China.

出版信息

Lipids Health Dis. 2024 Aug 21;23(1):259. doi: 10.1186/s12944-024-02232-8.

Abstract

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.

摘要

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。虽然糖尿病患者中 LVH 的患病率已有充分记录,但在非糖尿病人群中,其发生和危险因素仍在很大程度上未被探索。本研究通过调查非糖尿病个体中 LVH 的独立危险因素来解决这个问题。

方法

这项精心进行的横断面研究利用了来自塞拉利昂数据库中稳健且全面的 DATADRYAD 数据源的数据,数据收集时间为 2019 年 10 月至 2021 年 10 月,包括 LVH 和各种变量。使用单变量分析、Spearman 相关性和主成分分析(PCA)对所有变量进行了描述和筛选。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)和低密度脂蛋白胆固醇(LDL-C)、TC/HDL-C 比值、TG/HDL-C 比值、Non-HDL-C/HDL-C 比值和 LDL-C/HDL-C 比值,这些四分位数被视为分类变量,最低四分位数为参考类别。构建了三个调整后的模型,以减轻其他变量的影响。为了确保模型的稳健性,通过分析 ROC 曲线来计算截止值,使用接收者操作特征(ROC)曲线。进行了敏感性分析以进一步验证结果。

结果

该数据集包含 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=2.773,95%CI:1.805-4.26)、Non-HDL-C(OR=2.74,95%CI:1.7723-4.236)、TC/HDL-C 比值(OR=2.237,95%CI:1.445-3.463)、Non-HDL-C/HDL-C 比值(OR=2.357,95%CI:1.548-3.588)、TG/HDL-C 比值(OR=1.513,95%CI:1.02-2.245)是 LVH 的独立危险因素。ROC 曲线分析显示血脂对 LVH 的预测能力,其中 Non-HDL-C 的曲线下面积(AUC=0.6109),其次是 TC(AUC=0.6084)。

结论

TC、Non-HDL-C、TC/HDL-C 比值、Non-HDL-C/HDL-C 比值和 TG/HDL-C 比值是非糖尿病患者 LVH 的独立危险因素。Non-HDL-C 和 TC 被发现是预测 LVH 患病率的重要指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc34/11337744/22e5c73bce5b/12944_2024_2232_Fig1_HTML.jpg

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