Cardiovascular Diseases Clinical Trial
— PATTERNSOfficial title:
Profiling of Implantable Cardiac Device Diagnostics Trends During Clinical Events for Co-morbid Conditions in Indian Patients- PATTERNS Study
NCT number | NCT03091959 |
Other study ID # | MDT16044 |
Secondary ID | |
Status | Completed |
Phase | |
First received | |
Last updated | |
Start date | March 2, 2017 |
Est. completion date | April 30, 2018 |
Verified date | August 2018 |
Source | Medtronic Cardiac Rhythm and Heart Failure |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
The study looks to evaluate the device diagnostic data obtained from (all the Cardiac Rhythm and Heart Failure (CRHF) devices of medtronic having the Cardiac Compass® and OptiVol® diagnostic feature) these devices to identify trends during clinical events that will help early detection and prevention of cardiovascular and other comorbid conditions. (i.e. Heart failure(HF), Atrial Fibrilation,COPD, Renal dysfunction (RD), Diabetes etc.)
Status | Completed |
Enrollment | 200 |
Est. completion date | April 30, 2018 |
Est. primary completion date | April 30, 2018 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility |
Inclusion Criteria: 1. Subject must be greater than 18 years of age. 2. Subject must have an implanted Medtronic CRHF device (with the Optivol® and Cardiac Compass® diagnostics) for at least 1 year. 3. Subjects between 18 years and 62 years of age must have at least 1 clinical event ,such as any major medication change, IV drug therapy, hospitalization, outside home-treatment or any similar event in the past 1 year from the date of enrollment which required a Pharmacologic intervention, associated with any of the following comorbid conditions : - Heart failure - Chronic Obstructive Pulmonary Disease (COPD) - Renal deficiency - Atrial fibrillation - Diabetes 4. Subjects who are currently hospitalized with an Index clinical event can also be enrolled. 5. If the subject is over 62 years of age then subject can be enrolled in the study without any pre-condition of a clinical event associated with a comorbid condition. Exclusion Criteria: - Subject is unwilling or unable to give informed consent |
Country | Name | City | State |
---|---|---|---|
India | LISIE Hospital | Cochin | Kerala |
India | Fortis Escort Hospital | Delhi | |
India | Medanta - The Medicity | Gurgaon | Haryana |
India | Sir Ganga Ram Hospital | New Delhi | Delhi |
Lead Sponsor | Collaborator |
---|---|
Medtronic Cardiac Rhythm and Heart Failure |
India,
Chhabra SK, Gupta M. Coexistent chronic obstructive pulmonary disease-heart failure: mechanisms, diagnostic and therapeutic dilemmas. Indian J Chest Dis Allied Sci. 2010 Oct-Dec;52(4):225-38. Review. — View Citation
Prabhakaran D, Jeemon P, Roy A. Cardiovascular Diseases in India: Current Epidemiology and Future Directions. Circulation. 2016 Apr 19;133(16):1605-20. doi: 10.1161/CIRCULATIONAHA.114.008729. Review. — View Citation
Sarnak MJ, Levey AS, Schoolwerth AC, Coresh J, Culleton B, Hamm LL, McCullough PA, Kasiske BL, Kelepouris E, Klag MJ, Parfrey P, Pfeffer M, Raij L, Spinosa DJ, Wilson PW; American Heart Association Councils on Kidney in Cardiovascular Disease, High Blood Pressure Research, Clinical Cardiology, and Epidemiology and Prevention. Kidney disease as a risk factor for development of cardiovascular disease: a statement from the American Heart Association Councils on Kidney in Cardiovascular Disease, High Blood Pressure Research, Clinical Cardiology, and Epidemiology and Prevention. Circulation. 2003 Oct 28;108(17):2154-69. Review. — View Citation
Tharkar S, Satyavani K, Viswanathan V. Cost of medical care among type 2 diabetic patients with a co-morbid condition--hypertension in India. Diabetes Res Clin Pract. 2009 Feb;83(2):263-7. doi: 10.1016/j.diabres.2008.11.027. Epub 2008 Dec 31. — View Citation
Varma PP. Prevalence of chronic kidney disease in India - Where are we heading? Indian J Nephrol. 2015 May-Jun;25(3):133-5. — View Citation
Vijayan VK. Chronic obstructive pulmonary disease. Indian J Med Res. 2013 Feb;137(2):251-69. Review. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Change in device measured diagnostic parameters | Determine a combined diagnostic index that can identify patient at risk for a clinical event Determine the number of device measured diagnostic parameter that change prior to any clinical events associated with at least one of the comorbid conditions, including worsening heart failure, COPD, diabetes, and renal failure, which require major medication change, IV drug therapy, hospitalization, outside home treatment. | The diagnostic parameters can be stored within device for upto 12 months and this will be evaluated once the patient is interrogated and the report analyzed. |
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