ArticleCardiovascular diabetology2024
Metabolic syndrome parameters' variability and stroke incidence in hypertensive patients: evidence from a functional community cohort.
Article in Cardiovascular diabetology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed.
- Review
- Impact of Glycemic Trajectory and Variability on Ischemic Stroke Prognosis and Exploration of Its Mechanisms: A Comprehensive Review.Healthcare (Basel, Switzerland) · 2026Review
- Machine learning ensemble meets clinical practice: developing a real-world risk prediction model for metabolic syndrome using super learner and scorecard approaches.Journal of advanced research · 2026Article
- Lipocalin-2 deficiency attenuates kainic acid-induced hippocampal cell death in a high-fat diet-fed diabetic mice.Metabolic brain disease · 2026Article
- Absence of Association Between Glaucoma and Stroke Risk: Insights From a Cross-Sectional Study and a Two-Sample Mendelian Randomization Study.Journal of ophthalmology · 2026Article
- Review
- Review
- Comparison of Ischemic Stroke Outcomes in Patients With and Without Metabolic Syndrome: A Systematic Review.Cureus · 2025Review
- Dynamic changes in metabolic syndrome components and chronic kidney disease risk: a population-based prospective cohort study.BMC endocrine disorders · 2025Article
- Predicting cerebral infarction and transient ischemic attack in healthy individuals and those with dysmetabolism: a machine learning approach combined with routine blood tests.Scientific reports · 2025Article
- Evaluating machine learning models for stroke prediction based on clinical variables.Frontiers in neurology · 2025Article
- The interplay between metabolic health factors and stroke incidence in aging populations.Frontiers in endocrinology · 2025Article
- Insulin resistance and its association with coronary heart disease: insights from bioinformatics analysis.Frontiers in endocrinology · 2025Article
- Association between metabolic syndrome and incident stroke: insights from the UK Biobank.Frontiers in neurologyArticle
- Article
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9 authors.
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Abstract
backgroundStroke 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.
methodsThis 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.
resultsDuring 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).
conclusionsLong-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.
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