Profiling Implantable Cardiac Device Diagnostics Trends During Clinical Events .
PATTERNS
Profiling of Implantable Cardiac Device Diagnostics Trends During Clinical Events for Co-morbid Conditions in Indian Patients- PATTERNS Study
1 other identifier
observational
200
1 country
4
Brief Summary
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.)
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Mar 2017
4 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
February 24, 2017
CompletedStudy Start
First participant enrolled
March 2, 2017
CompletedFirst Posted
Study publicly available on registry
March 27, 2017
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 30, 2018
CompletedStudy Completion
Last participant's last visit for all outcomes
April 30, 2018
CompletedAugust 21, 2018
August 1, 2018
1.2 years
February 24, 2017
August 20, 2018
Conditions
Outcome Measures
Primary Outcomes (1)
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.
Eligibility Criteria
The study will enroll up to 300 subjects (i.e. consented) from upto 7 sites. All subjects implanted with devices (Medtronic Cardiac Rythm and Heart Failure (CRHF) implantable devices with Cardiac compass and Optivol feature) will be considered eligible for the study.
You may qualify if:
- Subject must be greater than 18 years of age.
- Subject must have an implanted Medtronic CRHF device (with the Optivol® and Cardiac Compass® diagnostics) for at least 1 year.
- 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
- Subjects who are currently hospitalized with an Index clinical event can also be enrolled.
- 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.
You may not qualify if:
- Subject is unwilling or unable to give informed consent
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (4)
Medanta - The Medicity
Gurgaon, Haryana, 122001, India
LISIE Hospital
Kochi, Kerala, India
Sir Ganga Ram Hospital
New Delhi, National Capital Territory of Delhi, 110060, India
Fortis Escort Hospital
Delhi, 110025, India
Related Publications (6)
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.
PMID: 27142605BACKGROUNDSarnak 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. doi: 10.1161/01.CIR.0000095676.90936.80. No abstract available.
PMID: 14581387BACKGROUNDTharkar 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.
PMID: 19118912BACKGROUNDVarma PP. Prevalence of chronic kidney disease in India - Where are we heading? Indian J Nephrol. 2015 May-Jun;25(3):133-5. No abstract available.
PMID: 26060360BACKGROUNDVijayan VK. Chronic obstructive pulmonary disease. Indian J Med Res. 2013 Feb;137(2):251-69.
PMID: 23563369BACKGROUNDChhabra 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.
PMID: 21302600BACKGROUND
MeSH Terms
Conditions
Study Officials
- STUDY CHAIR
Vinay Rajan, Phd
Medtronic
Study Design
- Study Type
- observational
- Observational Model
- OTHER
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
February 24, 2017
First Posted
March 27, 2017
Study Start
March 2, 2017
Primary Completion
April 30, 2018
Study Completion
April 30, 2018
Last Updated
August 21, 2018
Record last verified: 2018-08
Data Sharing
- IPD Sharing
- Will not share
All patient identifiers will be anonymized and only the final results will be shared if there is a need.