Risk Analysis for Diabetic Cardiovascular Autonomic Neuropathy

Study Overview
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Brief Summary
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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
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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.

Official Title
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The Risk Analysis for Diabetic Cardiovascular Autonomic Neuropathy in General Chinese Population

Conditions
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Diabetic Cardiovascular Autonomic Neuropathy

Intervention / Treatment
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* Other: not intervention


Participation Criteria
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Eligibility Criteria
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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).

Ages Eligible for Study
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Minimum Age: 30 Years
Maximum Age: 90 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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Accepts Healthy Volunteers

Study Plan
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How is the study designed?
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Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Dr.Tang's research group<br>Dr.Tang's research group for clinical risk analysis of human complex disease | Other: not intervention<br>* This is a cross-sectional study, no intervention was performed.<br>* Other names: nothing;|

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Cardiovascular Autonomic Neuropathy (CAN) measured by short-term short-term heart rate variability (HRV) |  | participants will be measured for the duration of outpatient stay, an expected average of 2 weeks | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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risk factors, risk analysis, diabetic cardiovascular autonomic neuropathy, general Chinese population