The Risk Analysis for Diabetic Cardiovascular Autonomic Neuropathy in General Chinese Population
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Diabetic Cardiovascular Autonomic Neuropathy
- Sponsor
- Shanghai Tongji Hospital, Tongji University School of Medicine
- Enrollment
- 2000
- Locations
- 1
- Primary Endpoint
- Cardiovascular Autonomic Neuropathy (CAN) measured by short-term short-term heart rate variability (HRV)
- Status
- Completed
- Last Updated
- 7 years ago
Overview
Brief Summary
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.
Detailed Description
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.
Investigators
Zihui Tang
M.D and Ph.D
Huashan Hospital
Eligibility Criteria
Inclusion Criteria
- •Survey Chinese participants with undiagnosed DCAN Aged 30-90 years, were included in this study.
Exclusion Criteria
- •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).
Outcomes
Primary Outcomes
Cardiovascular Autonomic Neuropathy (CAN) measured by short-term short-term heart rate variability (HRV)
Time Frame: participants will be measured for the duration of outpatient stay, an expected average of 2 weeks