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临床试验/NCT07243821
NCT07243821招募中不适用

Cohort Studies on Metabolic Syndrome and Prediabetes

National Taiwan University Hospital2 个研究点 分布在 1 个国家目标入组 2,000 人开始时间: 2025年10月31日最近更新:
适应症

试验速览

阶段
不适用
状态
招募中
入组人数
2,000
试验地点
2
主要终点
Medical record system and on-site inspection data collection

研究概览

简要总结

This study aims to establish a cohort of individuals with metabolic syndrome and prediabetes to enable long-term follow-up of risk factors, disease progression, and the development of obesity-related complications. The study will also monitor changes in nutritional status and physical function over time, in order to identify key prognostic determinants influencing clinical outcomes.

Metabolic syndrome and prediabetes are chronic multisystem disorders, and poor long-term control is closely associated with the development of various complications. Moreover, malnutrition and functional decline are common comorbid conditions that further impair quality of life and impose a substantial burden on healthcare resources.

详细描述

Metabolic syndrome has been recognized as a significant contributor to the development of major chronic diseases, including cerebrovascular disorders, cardiovascular disease, diabetes mellitus, and hypertension. Compared with the general population, individuals with metabolic syndrome exhibit an approximately sixfold increased risk of diabetes, fourfold risk of hypertension, threefold risk of dyslipidemia, and twofold risk of stroke and coronary heart disease.

The condition is strongly influenced by dietary and lifestyle factors. Its core pathophysiological features are insulin resistance and central obesity, and there is a high degree of comorbidity between metabolic syndrome and prediabetes.

The establishment of a comprehensive cohort and database for individuals with metabolic syndrome and prediabetes will facilitate the systematic collection of metabolic profiles and disease-related biomarkers. This will enable longitudinal analyses of systemic and organ-specific complications, their incidence, and predictive determinants, thereby strengthening disease risk stratification and early identification.

This study aims to collect routine clinical, physiological, and nutritional data at regular intervals to examine associations among lifestyle behaviors, metabolic factors, physiological indicators, and the development of complications. Furthermore, it seeks to evaluate nutritional and functional status, identify potential prognostic biomarkers, and provide a foundation for individualized therapeutic approaches and integrated healthcare models.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Adults aged 18 years or older.
  • Individuals clinically diagnosed by a physician as having metabolic syndrome (meeting at least three of the following five criteria) or prediabetes:
  • (A) Waist circumference: ≥ 90 cm in men or ≥ 80 cm in women, or body mass index (BMI) ≥ 27 kg/m².
  • (B) Fasting plasma glucose (AC): ≥ 100 mg/dL. (C) Blood pressure: Systolic blood pressure ≥ 130 mmHg or diastolic blood pressure ≥ 85 mmHg.
  • (D) Triglycerides (TG): ≥ 150 mg/dL. (E) High-density lipoprotein cholesterol (HDL-C): < 40 mg/dL in men or < 50 mg/dL in women.
  • Individuals meeting the definition of prediabetes, defined as glycated hemoglobin (HbA1c) between 5.7% and 6.4%.
  • Participants who are willing to participate in the study and have signed written informed consent.
  • Participants who are able to complete basic physical examinations and assessment procedures.

排除标准

  • Individuals unable to comprehend the study information or procedures.
  • Individuals unable to comply with the required assessments or study protocols.
  • Any other condition that, in the clinical judgment of the principal investigator, deems the individual unsuitable for participation.

结局指标

主要结局

Medical record system and on-site inspection data collection

时间窗: Everytime after physician's appointment(Usually 3 months).

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Sponsor

研究点 (2)

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