Risk Analysis for Diabetic Cardiovascular Autonomic Neuropathy

Tongji University

Status: Completed

Conditions: Diabetic Cardiovascular Autonomic Neuropathy

Treatments: Other: not intervention

Study type: Observational

Funder types: Other

Identifiers

NCT02461472

DCANRA_Dr.Tang

Details and patient eligibility

About

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.

Full 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.

Enrollment: 2,000 estimated patients

Sex: All

Ages: 30 to 90 years old

Volunteers: Accepts Healthy Volunteers

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:

  1. history or findings of arrhythmia and hyperthyroidism or hypothyroidism
  2. pregnancy or lactation
  3. serious hepatic or renal dysfunctions (GFR < 30 mL/min/1.73m2).

Trial design

2,000 participants in 1 patient group

Dr.Tang's research group

Description:

Dr.Tang's research group for clinical risk analysis of human complex disease

Treatment:

Other: not intervention