Risk Analysis for Diabetic Cardiovascular Autonomic Neuropathy
Condition: Diabetic Cardiovascular Autonomic Neuropathy
MeSH terms: Peripheral Nervous System Diseases; Nervous System Diseases
Study type: Observational

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.
    

Intervention name(s): not intervention
Intervention type(s): Other
Intervention description(s): This is a cross-sectional study, no intervention was performed.
Other intervention name(s): nothing
Observational model: Ecologic or Community
Time perspective: Cross-Sectional
Sampling method: Probability Sample
Study population: 
        The investigators recruited participants from rural and urban communities in Shanghai.
        Survey diabetic participants with undiagnosed DCAN, aged 30-90 years, were included in this
        study. Our study invited a total of 3000 subjects to a screening visit between 2013 and
        2015.
      
Keywords: risk factors; risk analysis; diabetic cardiovascular autonomic neuropathy; general Chinese population