Clinical Trials Logo

Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT02461472
Other study ID # DCANRA_Dr.Tang
Secondary ID
Status Completed
Phase
First received
Last updated
Start date January 2013
Est. completion date February 2019

Study information

Verified date March 2019
Source Shanghai Tongji Hospital, Tongji University School of Medicine
Contact n/a
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial 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.


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.


Recruitment information / eligibility

Status Completed
Enrollment 2000
Est. completion date February 2019
Est. primary completion date August 2018
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 30 Years to 90 Years
Eligibility 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).

Study Design


Related Conditions & MeSH terms


Intervention

Other:
not intervention
This is a cross-sectional study, no intervention was performed.

Locations

Country Name City State
China Huasha Hospital Shanghai Shanghai

Sponsors (2)

Lead Sponsor Collaborator
Shanghai Tongji Hospital, Tongji University School of Medicine Huashan Hospital

Country where clinical trial is conducted

China, 

References & Publications (9)

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. — View Citation

Tang ZH, Fang Z, Zhou L. Human genetics of diabetic vascular complications. J Genet. 2013 Dec;92(3):677-94. Review. — View Citation

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. Prin — View Citation

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-20 — View Citation

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. — View Citation

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 1 — View Citation

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 — View Citation

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. E — View Citation

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. — View Citation

Outcome

Type Measure Description Time frame Safety issue
Primary 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