The Risk Analysis for Diabetic Cardiovascular Autonomic Neuropathy in General Chinese Population
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 2,000
- 试验地点
- 1
- 主要终点
- Cardiovascular Autonomic Neuropathy (CAN) measured by short-term short-term heart rate variability (HRV)
研究概览
简要总结
A large-scale, community-based, cross-sectional study was conducted to explore the extent to which risk factors associated with diabetic cardiovascular autonomic neuropathy (DCAN) in general Chinese population. A total of more than 2000 diabetic participants were recruited by using multiple stages sampling (first cluster sampling and then simply sampling). Data involved in demographic information, clinical biomarkers such as glucose and lipids profiles, medical and therapy history were collected. Every participants was complete DNA extracted and genotyped. Diabetic Cardiovascular autonomic functions were measured by using short-term heart rate variability (HRV) to evaluate the outcome of DCAN. Univariate and multiple variables analysis have been performed to examine potential environmental and genetic risk factors of CAN. In addition, clinical risk model, simply screening model and nonlinear system model such as artificial neural network was created, respectively.
详细描述
Little is known about the risk factors and risk models for diabetic cardiovascular autonomic neuropathy in Chinese population. A large-scale, community-based, cross-sectional study was conducted to explore the extent to which risk factors associated with diabetic cardiovascular autonomic neuropathy (DCAN) in general Chinese population. A total of more than 2000 diabetic participants were recruited by using multiple stages sampling (first cluster sampling and then simply sampling). Data involved in demographic information, clinical biomarkers such as glucose and lipids profiles, medical and therapy history were collected. Every participants was complete DNA extracted and genotyped. Diabetic Cardiovascular autonomic functions were measured by using short-term heart rate variability (HRV) to evaluate the outcome of DCAN. Univariate and multiple variables analysis have been performed to examine potential environmental and genetic risk factors of CAN. In addition, clinical risk model, simply screening model and nonlinear system model such as artificial neural network was created, respectively.
研究设计
- 研究类型
- Observational
- 观察模型
- Ecologic Or Community
- 时间视角
- Cross Sectional
入排标准
- 年龄范围
- 30 Years 至 90 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Survey Chinese participants with undiagnosed DCAN Aged 30-90 years, were included in this study.
排除标准
- •Some diabetic patients were excluded from the study to eliminate potential confounding factors that may have influenced their CA function. Briefly, the exclusion criteria were as follows:
- •history or findings of arrhythmia and hyperthyroidism or hypothyroidism
- •pregnancy or lactation
- •serious hepatic or renal dysfunctions (GFR < 30 mL/min/1.73m2).
结局指标
主要结局
Cardiovascular Autonomic Neuropathy (CAN) measured by short-term short-term heart rate variability (HRV)
时间窗: participants will be measured for the duration of outpatient stay, an expected average of 2 weeks
次要结局
未报告次要终点
研究者
Zihui Tang
M.D and Ph.D
Huashan Hospital