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高血压患者代谢综合征参数的变异性与卒中发病风险:一项功能性社区队列研究的证据。

Metabolic syndrome parameters' variability and stroke incidence in hypertensive patients: evidence from a functional community cohort.

机构信息

Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention, Ministry of Education, China Medical University; Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, Shenyang, 110122, Liaoning, China.

Department of Cardiology, Kailuan General Hospital, No. 57 Xinghua East Road, Heibei, 063000, Tangshan, China.

出版信息

Cardiovasc Diabetol. 2024 Jun 15;23(1):203. doi: 10.1186/s12933-024-02282-3.

Abstract

BACKGROUND

Stroke is a common complication of hypertension, but the predictive value of metabolic syndrome parameters' variability on stroke risk in individuals with hypertension remains unclear. Therefore, our objective was to investigate the relationship between metabolic syndrome parameters' variability and the risk of total stroke and its subtypes in hypertensive patients.

METHODS

This prospective cohort study included 17,789 individuals with hypertension from the Kailuan study since 2006. Metabolic syndrome parameters, including waist circumference (WC), fasting blood glucose (FBG), systolic blood pressure (SBP), high-density lipoprotein cholesterol (HDL-C), and triglyceride (TG), were collected at three follow-up visits in the 2006, 2008, and 2010 surveys. We assess the variability utilizing the coefficient of variation (CV), standard deviation (SD), average real variation (ARV), and variability independent of the mean (VIM), with CV initially assessed. Participants were categorized based on the number of high-variability metabolic syndrome parameters (0, 1, 2, ≥ 3). Stroke cases were identified by reviewing medical records. The associations between variability in metabolic syndrome parameters and the risk of total stroke and its subtypes were analyzed using Cox proportional hazard regression models.

RESULTS

During a median follow-up of 9.32 years, 1223 cases of stroke were recorded. Participants with ≥ 3 high-variability metabolic syndrome parameters had an increased risk of total stroke (HR: 1.29, 95%CI 1.09-1.52), as well as an increased risk of ischemic stroke (HR: 1.31, 95%CI 1.05-1.63) compared to those without high-variability parameters. The study also examined variability in each metabolic syndrome parameter, and significant associations with an increased risk of total stroke were observed for variability in SBP (HR: 1.24, 95%CI 1.05-1.46) and HDL-C (HR: 1.34, 95%CI 1.09-1.64).

CONCLUSIONS

Long-term fluctuations in metabolic syndrome parameters significantly increase the risk of total stroke, especially ischemic stroke. Maintaining low variability in metabolic syndrome parameters could benefit health, and hypertensive individuals must be regularly monitored.

摘要

背景

中风是高血压的常见并发症,但代谢综合征参数的变异性对高血压患者中风风险的预测价值尚不清楚。因此,我们的目的是研究代谢综合征参数的变异性与高血压患者总中风及其亚型风险之间的关系。

方法

这项前瞻性队列研究纳入了自 2006 年以来参加开滦研究的 17789 名高血压患者。在 2006 年、2008 年和 2010 年的三次随访中,收集了腰围(WC)、空腹血糖(FBG)、收缩压(SBP)、高密度脂蛋白胆固醇(HDL-C)和甘油三酯(TG)等代谢综合征参数。我们使用变异系数(CV)、标准差(SD)、平均真实变异(ARV)和均值独立变异(VIM)来评估变异性,最初评估 CV。根据高变异性代谢综合征参数的数量(0、1、2、≥3)对参与者进行分类。通过查阅病历来确定中风病例。使用 Cox 比例风险回归模型分析代谢综合征参数变异性与总中风及其亚型风险之间的关系。

结果

在中位随访 9.32 年期间,记录了 1223 例中风病例。与无高变异性参数者相比,具有≥3 个高变异性代谢综合征参数的患者总中风(HR:1.29,95%CI 1.09-1.52)和缺血性中风(HR:1.31,95%CI 1.05-1.63)的风险均增加。该研究还检查了每个代谢综合征参数的变异性,发现 SBP(HR:1.24,95%CI 1.05-1.46)和 HDL-C(HR:1.34,95%CI 1.09-1.64)的变异性与总中风风险增加显著相关。

结论

代谢综合征参数的长期波动显著增加了总中风的风险,尤其是缺血性中风。维持代谢综合征参数的低变异性可能有益于健康,高血压患者必须定期监测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/494a/11180400/4ca5b3b0889b/12933_2024_2282_Fig1_HTML.jpg

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