Genetic Testing and Counseling to Reduce Diabetic Complications
Primary Purpose
Diabetic Complication
Status
Completed
Phase
Not Applicable
Locations
Hong Kong
Study Type
Interventional
Intervention
Personalized Risk Counselling
Normal usual care
Sponsored by
About this trial
This is an interventional health services research trial for Diabetic Complication
Eligibility Criteria
Inclusion Criteria:
- Adults with type 2 diabetes aged 40-75 who can give informed consent
- Subjects with no known chronic kidney disease (CKD defined as eGFR<60ml/min at baseline)
- Suboptimal glucose control with HbA1c ≥ 7.5%
- Known history of hypertension including elevated BP ≥140/90 on more than one occasion
Exclusion Criteria:
- Subjects with known coronary artery disease or coronary revascularisation
- Subjects with previous history of cerebrovascular accident
- Subjects with known proliferative retinopathy or previous laser treatment for diabetic retinopathy
- Subjects with life-threatening conditions including malignancy
- Subjects with known psychiatric conditions including depression
- Subjects with significant renal impairment (eGFR<60ml/min at baseline) or non-diabetic renal disease (e.g. biopsy-proven glomerulonephritis or obstructive uropathy)
- Subjects with major physical disability
Sites / Locations
- Prince of Wales Hospital
Arms of the Study
Arm 1
Arm 2
Arm Type
Experimental
Placebo Comparator
Arm Label
Personalized risk counselling
Normal usual care
Arm Description
Intervention includes risk counseling to patients with diabetes on future risk of diabetic complications based on an established genetic counseling framework for common polygenic disorders which will be delivered to patient in a counselling sesssion 6 weeks after genetic testing
Intervention includes normal usual care. General education on diabetes and diabetic complications
Outcomes
Primary Outcome Measures
percentage of patients attaining ≥ 3 pre-defined treatment targets from the following treatment targets: 1) BP <130/80 mm Hg 2) HbA1c <7% 3) Calculated LDL-cholesterol <2.6mmol/l 4) Fasting TG <2mmol/l 5) Use of ACEI or ARB
primary outcome of 3 out of 5 targets achieved as defined above
Secondary Outcome Measures
microalbuminuria as a marker of degree of renal damage
new onset of microalbuminuria at 1 year follow-up
Patient empowerment as measured on the Chinese Diabetes Empowerment Scale (DES)
Score on the DES
Patient behavior measured on the Summary of Diabetes Self-care Activities (SDSCA)
Score of diabetes self-care as measured by the SDSCA
Full Information
NCT ID
NCT02364323
First Posted
February 10, 2015
Last Updated
March 6, 2022
Sponsor
Chinese University of Hong Kong
1. Study Identification
Unique Protocol Identification Number
NCT02364323
Brief Title
Genetic Testing and Counseling to Reduce Diabetic Complications
Official Title
A Randomized Clinical Trial to Compare a Strategy Utilizing Genetic Testing and Personalized Risk Counseling With Standard Care on Patient Empowerment, Risk Factors Control and the Risk of Diabetic Complications
Study Type
Interventional
2. Study Status
Record Verification Date
March 2022
Overall Recruitment Status
Completed
Study Start Date
February 17, 2015 (Actual)
Primary Completion Date
April 18, 2017 (Actual)
Study Completion Date
December 31, 2018 (Actual)
3. Sponsor/Collaborators
Responsible Party, by Official Title
Principal Investigator
Name of the Sponsor
Chinese University of Hong Kong
4. Oversight
Data Monitoring Committee
No
5. Study Description
Brief Summary
The risk of diabetic kidney complications includes non-modifiable risk factors such as genetic predictors, as well as modifiable risk factors such as hyperglycaemia, hypertension, hyperlipidaemia and proteinuria. Genetic testing for personalized medicine is increasing in popularity, though evidence that genetic testing can empower patients to modify behaviour and reduce clinical risk remains lacking. In this project, the investigators aim to utilize a personalized risk counseling with genetic testing to evaluate its impact on risk factor control in diabetic patients. The investigators hypothesize that knowledge of genetic +/- clinical risk will empower patients and lead to improvement in the number of treatment targets achieved. The investigators will recruit 400 patients with diabetes. All subjects will undergo a comprehensive assessment of the risk of diabetic complications based on clinical risk factors. Half of the patients will be randomized to receive additional genetic testing of a panel of genetic markers proven to predict renal complications in our population: ACE I/D, aldose reductase (CA)n and PRKCB1 gene polymorphisms. The results of personalized risk assessment will be communicated by a health counsellor in the intervention arm. The impact of testing and patient knowledge of the result of genetic testing on achievement of treatment targets (A1c, BP, LDL-cholesterol, TG, use of ACEI/ARB) and patient behavior will be evaluated after 12 months. The other arm will receive results of the genetic testing at the completion of the study period. The study will help towards developing a strategy to empower patients through structured and personalized risk assessment will provide a novel approach to identify high-risk subjects for early intensive management, and may lead to reduction in long-term complications.
Detailed Description
Asia is in the midst of an epidemic of diabetes. Approximately 1 in 10 people in China has diabetes [1]. Asian patients with diabetes are characterized by early age of onset and increased risk of kidney complications. Young age of onset and long disease duration will place Chinese diabetic patients at high risk for complications. In the Hong Kong Diabetes Registry, which includes more than 7000 patients with type 2 diabetes, we have reported a high risk of diabetic complications, with 30% having died or sustained a major clinical event within 10years after diagnosis, including 10% developing cardiovascular complications, and 10% developing end-stage renal disease [2] [3]. The medical costs for the diabetic patient with complication is 2.2-3.8 fold that of patients without complications, and patients with cardiorenal complications are the most costly to manage [4]. Using our registry, we have identified clinical risk predictors for developing renal complications as glycaemic control, elevated blood pressure, hyperlipidaemia, and albuminuria [2] [3, 5], and have derived clinical risk prediction algorithms and incorporated them into a patient management portal, which can generate a standardized report for risk counseling based on clinical risk factors [6, 7]. Furthermore, in a multi-centre study utilizing a multidisciplinary team, we found that intensive management aiming to achieve targets of A1c, lipids, BP can significantly reduce the risk of developing kidney complication [8]. Therefore, the ability to identify subjects at risk of complications, and to target and motivate them to optimize modifiable risk factors for diabetic complications will be of clinical benefit and potentially cost-saving.
There has been much recent interest in the use of genetic testing for personalized medicine [9]. Diabetic kidney complications has high heritability of around 40% and several genetic factors have been found to be associated with diabetic renal complications. Using candidate-gene approach, our group has identified several genetic markers for diabetic kidney complications [10, 11] [12]. These include the angiotensin converting enzyme deletion/ insertion (ACE D/I) polymorphism and the aldose reductase (ALR2) 5'-(CA) n microsatellite polymorphism, each being associated with 2-3 fold increased risk of diabetic cardio-renal complications in Chinese [10, 13]. More recently, we have found that carriers of risk alleles at the protein kinase C-β1 (PRKCB1) locus can have up to 6-fold increased risk of developing end-stage renal disease during follow-up, after adjusting for the effect of clinical risk predictors [12].
The recent increase in consumer-initiated genetic testing has been driven by direct-to-consumer genetic testing, which assumes that personal genetic information can motivate positive behavioural change in patients [14]. Interestingly, a recent survey of patients without type 2 diabetes suggests that genetic testing may be able to motivate patients, with 71% of respondents reporting that they would be "much more motivated" to make behavioural changes if they were informed to be of high genetic risk for diabetes [15]. Although evidence that genetic testing can lead to behavioural changes is still lacking, several randomized clinical trials are currently underway to examine the impact of genetic testing on behaviour to reduce risk of diabetes. Given the disabling consequences of diabetic complications, and the ability to predict those at risk of developing complications, we plan to examine the role of personalized risk counseling incorporating genetic markers, and to examine its role in patient empowerment and risk factor control, which may help to reduce the risk of developing complications.
6. Conditions and Keywords
Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Diabetic Complication
7. Study Design
Primary Purpose
Health Services Research
Study Phase
Not Applicable
Interventional Study Model
Parallel Assignment
Masking
Care ProviderOutcomes Assessor
Allocation
Randomized
Enrollment
435 (Actual)
8. Arms, Groups, and Interventions
Arm Title
Personalized risk counselling
Arm Type
Experimental
Arm Description
Intervention includes risk counseling to patients with diabetes on future risk of diabetic complications based on an established genetic counseling framework for common polygenic disorders which will be delivered to patient in a counselling sesssion 6 weeks after genetic testing
Arm Title
Normal usual care
Arm Type
Placebo Comparator
Arm Description
Intervention includes normal usual care. General education on diabetes and diabetic complications
Intervention Type
Behavioral
Intervention Name(s)
Personalized Risk Counselling
Intervention Description
Motivational message- towards lifestyle change, improved compliance and risk factors control Review overall control of clinical risk factors based on lab test results
Intervention Type
Other
Intervention Name(s)
Normal usual care
Intervention Description
General education on diabetes and diabetic complications
Primary Outcome Measure Information:
Title
percentage of patients attaining ≥ 3 pre-defined treatment targets from the following treatment targets: 1) BP <130/80 mm Hg 2) HbA1c <7% 3) Calculated LDL-cholesterol <2.6mmol/l 4) Fasting TG <2mmol/l 5) Use of ACEI or ARB
Description
primary outcome of 3 out of 5 targets achieved as defined above
Time Frame
At 1 year
Secondary Outcome Measure Information:
Title
microalbuminuria as a marker of degree of renal damage
Description
new onset of microalbuminuria at 1 year follow-up
Time Frame
At 1 year
Title
Patient empowerment as measured on the Chinese Diabetes Empowerment Scale (DES)
Description
Score on the DES
Time Frame
At 1 year
Title
Patient behavior measured on the Summary of Diabetes Self-care Activities (SDSCA)
Description
Score of diabetes self-care as measured by the SDSCA
Time Frame
At 1 year
10. Eligibility
Sex
All
Minimum Age & Unit of Time
40 Years
Maximum Age & Unit of Time
75 Years
Accepts Healthy Volunteers
No
Eligibility Criteria
Inclusion Criteria:
Adults with type 2 diabetes aged 40-75 who can give informed consent
Subjects with no known chronic kidney disease (CKD defined as eGFR<60ml/min at baseline)
Suboptimal glucose control with HbA1c ≥ 7.5%
Known history of hypertension including elevated BP ≥140/90 on more than one occasion
Exclusion Criteria:
Subjects with known coronary artery disease or coronary revascularisation
Subjects with previous history of cerebrovascular accident
Subjects with known proliferative retinopathy or previous laser treatment for diabetic retinopathy
Subjects with life-threatening conditions including malignancy
Subjects with known psychiatric conditions including depression
Subjects with significant renal impairment (eGFR<60ml/min at baseline) or non-diabetic renal disease (e.g. biopsy-proven glomerulonephritis or obstructive uropathy)
Subjects with major physical disability
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Ronald C Ma, MB BChir
Organizational Affiliation
Chinese University of Hong Kong
Official's Role
Principal Investigator
Facility Information:
Facility Name
Prince of Wales Hospital
City
Shatin
Country
Hong Kong
12. IPD Sharing Statement
Citations:
PubMed Identifier
20335585
Citation
Yang W, Lu J, Weng J, Jia W, Ji L, Xiao J, Shan Z, Liu J, Tian H, Ji Q, Zhu D, Ge J, Lin L, Chen L, Guo X, Zhao Z, Li Q, Zhou Z, Shan G, He J; China National Diabetes and Metabolic Disorders Study Group. Prevalence of diabetes among men and women in China. N Engl J Med. 2010 Mar 25;362(12):1090-101. doi: 10.1056/NEJMoa0908292.
Results Reference
background
PubMed Identifier
21654912
Citation
Chan JC, So W, Ma RC, Tong PC, Wong R, Yang X. The Complexity of Vascular and Non-Vascular Complications of Diabetes: The Hong Kong Diabetes Registry. Curr Cardiovasc Risk Rep. 2011 Jun;5(3):230-239. doi: 10.1007/s12170-011-0172-6. Epub 2011 Apr 12.
Results Reference
background
PubMed Identifier
16944095
Citation
Yang XL, So WY, Kong AP, Clarke P, Ho CS, Lam CW, Ng MH, Lyu RR, Yin DD, Chow CC, Cockram CS, Tong PC, Chan JC. End-stage renal disease risk equations for Hong Kong Chinese patients with type 2 diabetes: Hong Kong Diabetes Registry. Diabetologia. 2006 Oct;49(10):2299-308. doi: 10.1007/s00125-006-0376-3. Epub 2006 Aug 30.
Results Reference
background
PubMed Identifier
17725179
Citation
Chan BS, Tsang MW, Lee VW, Lee KK. Cost of Type 2 Diabetes mellitus in Hong Kong Chinese. Int J Clin Pharmacol Ther. 2007 Aug;45(8):455-68. doi: 10.5414/cpp45455.
Results Reference
background
PubMed Identifier
18835954
Citation
Luk AO, So WY, Ma RC, Kong AP, Ozaki R, Ng VS, Yu LW, Lau WW, Yang X, Chow FC, Chan JC, Tong PC; Hong Kong Diabetes Registry. Metabolic syndrome predicts new onset of chronic kidney disease in 5,829 patients with type 2 diabetes: a 5-year prospective analysis of the Hong Kong Diabetes Registry. Diabetes Care. 2008 Dec;31(12):2357-61. doi: 10.2337/dc08-0971. Epub 2008 Oct 3.
Results Reference
background
PubMed Identifier
19573118
Citation
Chan J, So W, Ko G, Tong P, Yang X, Ma R, Kong A, Wong R, Le Coguiec F, Tamesis B, Wolthers T, Lyubomirsky G, Chow P. The Joint Asia Diabetes Evaluation (JADE) Program: a web-based program to translate evidence to clinical practice in Type 2 diabetes. Diabet Med. 2009 Jul;26(7):693-9. doi: 10.1111/j.1464-5491.2009.02751.x.
Results Reference
background
PubMed Identifier
20465815
Citation
Ko GT, So WY, Tong PC, Le Coguiec F, Kerr D, Lyubomirsky G, Tamesis B, Wolthers T, Nan J, Chan J. From design to implementation--the Joint Asia Diabetes Evaluation (JADE) program: a descriptive report of an electronic web-based diabetes management program. BMC Med Inform Decis Mak. 2010 May 13;10:26. doi: 10.1186/1472-6947-10-26.
Results Reference
background
PubMed Identifier
19460913
Citation
Chan JC, So WY, Yeung CY, Ko GT, Lau IT, Tsang MW, Lau KP, Siu SC, Li JK, Yeung VT, Leung WY, Tong PC; SURE Study Group. Effects of structured versus usual care on renal endpoint in type 2 diabetes: the SURE study: a randomized multicenter translational study. Diabetes Care. 2009 Jun;32(6):977-82. doi: 10.2337/dc08-1908.
Results Reference
background
PubMed Identifier
21127150
Citation
Malandrino N, Smith RJ. Personalized medicine in diabetes. Clin Chem. 2011 Feb;57(2):231-40. doi: 10.1373/clinchem.2010.156901. Epub 2010 Dec 2.
Results Reference
background
PubMed Identifier
15677791
Citation
Wang Y, Ng MC, So WY, Tong PC, Ma RC, Chow CC, Cockram CS, Chan JC. Prognostic effect of insertion/deletion polymorphism of the ace gene on renal and cardiovascular clinical outcomes in Chinese patients with type 2 diabetes. Diabetes Care. 2005 Feb;28(2):348-54. doi: 10.2337/diacare.28.2.348.
Results Reference
background
PubMed Identifier
21765051
Citation
Wang Y, Luk AO, Ma RC, So WY, Tam CH, Ng MC, Yang X, Lam V, Tong PC, Chan JC. Predictive role of multilocus genetic polymorphisms in cardiovascular disease and inflammation-related genes on chronic kidney disease in Type 2 diabetes--an 8-year prospective cohort analysis of 1163 patients. Nephrol Dial Transplant. 2012 Jan;27(1):190-6. doi: 10.1093/ndt/gfr343. Epub 2011 Jul 15.
Results Reference
background
PubMed Identifier
20736472
Citation
Ma RC, Tam CH, Wang Y, Luk AO, Hu C, Yang X, Lam V, Chan AW, Ho JS, Chow CC, Tong PC, Jia W, Ng MC, So WY, Chan JC. Genetic variants of the protein kinase C-beta 1 gene and development of end-stage renal disease in patients with type 2 diabetes. JAMA. 2010 Aug 25;304(8):881-9. doi: 10.1001/jama.2010.1191.
Results Reference
background
PubMed Identifier
18716049
Citation
So WY, Wang Y, Ng MC, Yang X, Ma RC, Lam V, Kong AP, Tong PC, Chan JC. Aldose reductase genotypes and cardiorenal complications: an 8-year prospective analysis of 1,074 type 2 diabetic patients. Diabetes Care. 2008 Nov;31(11):2148-53. doi: 10.2337/dc08-0712. Epub 2008 Aug 20.
Results Reference
background
PubMed Identifier
18319070
Citation
Janssens AC, Gwinn M, Bradley LA, Oostra BA, van Duijn CM, Khoury MJ. A critical appraisal of the scientific basis of commercial genomic profiles used to assess health risks and personalize health interventions. Am J Hum Genet. 2008 Mar;82(3):593-9. doi: 10.1016/j.ajhg.2007.12.020.
Results Reference
background
PubMed Identifier
19727660
Citation
Grant RW, Hivert M, Pandiscio JC, Florez JC, Nathan DM, Meigs JB. The clinical application of genetic testing in type 2 diabetes: a patient and physician survey. Diabetologia. 2009 Nov;52(11):2299-2305. doi: 10.1007/s00125-009-1512-7. Epub 2009 Sep 2.
Results Reference
background
PubMed Identifier
20029795
Citation
Chen S, Chiu H, Xu B, Ma Y, Jin T, Wu M, Conwell Y. Reliability and validity of the PHQ-9 for screening late-life depression in Chinese primary care. Int J Geriatr Psychiatry. 2010 Nov;25(11):1127-33. doi: 10.1002/gps.2442.
Results Reference
background
PubMed Identifier
21398526
Citation
Ting RZ, Nan H, Yu MW, Kong AP, Ma RC, Wong RY, Loo K, So WY, Chow CC, Ko GT, Wing YK, Chan JC. Diabetes-related distress and physical and psychological health in chinese type 2 diabetic patients. Diabetes Care. 2011 May;34(5):1094-6. doi: 10.2337/dc10-1612. Epub 2011 Mar 11.
Results Reference
background
PubMed Identifier
17129908
Citation
Shiu AT, Martin CR, Thompson DR, Wong RY. Psychometric properties of the Chinese version of the diabetes empowerment scale. Psychol Health Med. 2006 May;11(2):198-208. doi: 10.1080/13548500500286845.
Results Reference
background
Learn more about this trial
Genetic Testing and Counseling to Reduce Diabetic Complications
We'll reach out to this number within 24 hrs