- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02461472
Risk Analysis for Diabetic Cardiovascular Autonomic Neuropathy
March 19, 2019 updated by: Zihui Tang, Shanghai Tongji Hospital, Tongji University School of Medicine
The Risk Analysis for Diabetic Cardiovascular Autonomic Neuropathy in General 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.
Study Overview
Status
Completed
Conditions
Intervention / Treatment
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.
Study Type
Observational
Enrollment (Anticipated)
2000
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
-
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Shanghai
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Shanghai, Shanghai, China, 200040
- Huasha Hospital
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-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
30 years to 90 years (Adult, Older Adult)
Accepts Healthy Volunteers
Yes
Genders Eligible for Study
All
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.
Description
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).
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Dr.Tang's research group
Dr.Tang's research group for clinical risk analysis of human complex disease
|
This is a cross-sectional study, no intervention was performed.
Other Names:
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
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
|
participants will be measured for the duration of outpatient stay, an expected average of 2 weeks
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Collaborators
Investigators
- Principal Investigator: Zihui Tang, M.D and Ph.D, Huashan Hospital
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Li Z, Tang ZH, Zeng F, Zhou L. Associations between the severity of metabolic syndrome and cardiovascular autonomic function in a Chinese population. J Endocrinol Invest. 2013 Dec;36(11):993-9. doi: 10.3275/9005. Epub 2013 Jun 17.
- Tang ZH, Zeng F, Yu X, Zhou L. Bayesian estimation of cardiovascular autonomic neuropathy diagnostic test based on baroreflex sensitivity in the absence of a gold standard. Int J Cardiol. 2014 Feb 15;171(3):e78-80. doi: 10.1016/j.ijcard.2013.11.100. Epub 2013 Dec 6. No abstract available.
- Zeng F, Tang ZH, Li Z, Yu X, Zhou L. Normative reference of short-term heart rate variability and estimation of cardiovascular autonomic neuropathy prevalence in Chinese people. J Endocrinol Invest. 2014 Apr;37(4):385-91. doi: 10.1007/s40618-013-0047-4. Epub 2014 Jan 9.
- Tang ZH, Wang L, Zeng F, Li Z, Yu X, Zhang K, Zhou L. Bayesian estimation of cardiovascular autonomic neuropathy diagnostic test based on short-term heart rate variability without a gold standard. BMJ Open. 2014 Oct 6;4(9):e005096. doi: 10.1136/bmjopen-2014-005096.
- Tang ZH, Liu J, Zeng F, Li Z, Yu X, Zhou L. Comparison of prediction model for cardiovascular autonomic dysfunction using artificial neural network and logistic regression analysis. PLoS One. 2013 Aug 5;8(8):e70571. doi: 10.1371/journal.pone.0070571. Print 2013. Erratum In: PLoS One. 2017 Apr 25;12 (4):e0176771.
- Zhang L, Tang ZH, Zeng F, Li Z, Zhou L, Li Y. Clinical risk model assessment for cardiovascular autonomic dysfunction in the general Chinese population. J Endocrinol Invest. 2015 Jun;38(6):615-22. doi: 10.1007/s40618-014-0229-8. Epub 2015 Jan 3.
- Tang ZH, Zeng F, Li Z, Zhou L. Association and predictive value analysis for resting heart rate and diabetes mellitus on cardiovascular autonomic neuropathy in general population. J Diabetes Res. 2014;2014:215473. doi: 10.1155/2014/215473. Epub 2014 Mar 18.
- Tang ZH, Zeng F, Li Z, Zhou L. A risk score of cardiovascular autonomic dysfunction for targeted screening in the Chinese population. Int J Cardiol. 2013 Oct 12;168(5):4861-2. doi: 10.1016/j.ijcard.2013.07.062. Epub 2013 Jul 25. No abstract available.
- Tang ZH, Fang Z, Zhou L. Human genetics of diabetic vascular complications. J Genet. 2013 Dec;92(3):677-94. doi: 10.1007/s12041-013-0288-1.
- Song L, Zhou L, Tang Z. An association analysis of lipid profile and diabetic cardiovascular autonomic neuropathy in a Chinese sample. Lipids Health Dis. 2016 Jul 26;15:122. doi: 10.1186/s12944-016-0287-3.
- Ge X, Chen H, Zhang K, Tang ZH. The analysis of blood pressure profiles and their severity in relation to diabetic cardiovascular autonomic neuropathy in the Chinese population: preliminary analysis. J Endocrinol Invest. 2016 Aug;39(8):891-8. doi: 10.1007/s40618-016-0444-6. Epub 2016 Mar 3.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
January 1, 2013
Primary Completion (Actual)
August 1, 2018
Study Completion (Actual)
February 1, 2019
Study Registration Dates
First Submitted
June 1, 2015
First Submitted That Met QC Criteria
June 2, 2015
First Posted (Estimate)
June 3, 2015
Study Record Updates
Last Update Posted (Actual)
March 20, 2019
Last Update Submitted That Met QC Criteria
March 19, 2019
Last Verified
March 1, 2019
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- DCANRA_Dr.Tang
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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