Risk Analysis for Diabetic Cardiovascular Autonomic Neuropathy

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

Status

Completed

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT02461472

Enrollment

2000

Registered

2015-06-03

Start date

2013-01-31

Completion date

2019-02-28

Last updated

2019-03-20

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Diabetic Cardiovascular Autonomic Neuropathy

Keywords

risk factors, risk analysis, diabetic cardiovascular autonomic neuropathy, general Chinese population

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.

Interventions

OTHERnot intervention

This is a cross-sectional study, no intervention was performed.

Study design

Observational model

ECOLOGIC_OR_COMMUNITY

Time perspective

CROSS_SECTIONAL

Eligibility

Sex/Gender

ALL

Age

30 Years to 90 Years

Healthy volunteers

Yes

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

Design outcomes

Primary

Measure	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

Countries

China

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Mar 14, 2026