Ted Rogers Understanding of Exacerbations in Heart Failure 2: Monitor (TRUE-HF 2)
Ted Rogers Understanding of Exacerbations in Heart Failure 2 (TRUE-HF2): Observational Study
Study Overview
Status
Status
Conditions
Conditions
Detailed Description
Traditionally, clinicians have relied on static snapshots of patients to determine clinical status and estimate prognosis. More advanced cardiac centres rely on CPET for objective prognosis. There is an unmet need for a more widely available, accessible, and longitudinal assessment of cardiopulmonary fitness and clinical status to better monitor and prognosticate patients. Wearable devices such as Apple Watch hold great promise in this regard, as they provide near-continuous monitoring of biometric data.
In TRUE-HF, we used Apple Watch data to build a novel model for serial daily prediction of cardiopulmonary fitness that is strongly correlated with CPET pVO2. In TRUE-HF2, we seek to prospectively validate the relationship between wearable data and changes in cardiopulmonary fitness, and early warnings of worsening heart failure as measured through decompensation, clinical deterioration, unplanned healthcare utilization, hospitalization, need for advanced heart failure therapies, and mortality.
The goal is to enable equitable access to cardiopulmonary fitness assessment for HF patients who may otherwise face significant barriers to tertiary-centre testing, including travel burden, geography, and limited local resources.
Our study has 5 research questions based on 2 primary outcomes and 3 secondary outcomes in clinically diverse adult ambulatory heart failure patients :
Primary Research Questions:
- Can surrogates of cardiorespiratory fitness estimated from data obtained from Apple Watch in combination with clinical and/or demographical data predict significant reductions in cardiorespiratory fitness in heart failure patients?
Can surrogates of cardiorespiratory fitness estimated from data obtained from Apple Watch in combination with clinical and/or demographical data predict early warnings of worsening heart failure?
Secondary Research Questions:
- Can biometric data from Apple Watch in combination with clinical and/or demographical data be used to estimate cardiorespiratory fitness measurements and changes, as assessed by CPET?
- Can biometric data from Apple Watch in combination with clinical and/or demographical data from the Apple Watch be used to improve risk prediction models of worsening heart failure as combined (primary) or stratified (secondary) outcomes?
- Can biometric data from Apple Watch in combination with clinical and/or demographical data from the Apple Watch be used to predict markers of poor prognosis specifically as defined by the SHFM, BNP, Quality of life (QOL) indicators, and CPET parameters?
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Ryan Li, MASc
- Phone Number: 6479669330
- Email: ryan.li@uhn.ca
Study Contact Backup
- Name: Ben Kim, PhD
- Email: ben.kim@uhn.ca
Study Locations
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-
Ontario
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Newmarket, Ontario, Canada, L3Y 2P9
- Southlake Health
-
Contact:
- Grace Bent
- Phone Number: 5155 +1 905-895-4521
- Email: clinicaltrials@southlake.ca
-
Contact:
- Christine Thew
- Phone Number: 5155 +1 905-895-4521
- Email: clinicaltrials@southlake.ca
-
Principal Investigator:
- Liane Porepa, MD
-
Toronto, Ontario, Canada
- Sunnybrook Health Sciences Center
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Contact:
- Mahsa Sadeghi
- Email: Mahsa.Sadeghi@Sunnybrook.ca
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Contact:
- Fernanda Calle
- Phone Number: 416-480-4822
- Email: fernanda.calle@sunnybrook.ca
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Principal Investigator:
- Stephanie Poon
-
Toronto, Ontario, Canada, M5G 2C4
- 200 Elizabeth Street
-
Contact:
- Ben Kim, PhD
- Email: ben.kim@uhn.ca
-
Contact:
- Ryan Li, MASc
- Phone Number: +16479669330
- Email: ryan.li@uhn.ca
-
Principal Investigator:
- Yasbanoo Moayedi, MD
-
Principal Investigator:
- Heather Ross, MD
-
Principal Investigator:
- Chris McIntosh, PhD
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- broad age range (> 18 years of age)
- NT-proBNP > 400 or 1000 if in AF
- Within 3 months post discharge from HF hospitalization/ HF ED visit/ HF rapid clinic visit with intensification of diuretic therapy
- NYHA functional class I-IV, heart failure with reduced and preserved ejection fraction
- Literacy in English
- Patient provided informed consent
Exclusion Criteria:
- Unable to perform a CPET based on the standard protocol
- End stage renal disease requiring dialysis
- Living with LVAD
- MRP deems patient unfit for the study
- Post heart transplant
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
|---|
|
UHN Patients
Heart failure patients followed at UHN
|
|
Southlake Health Patients
Heart failure patients followed at Southlake Health
|
|
Sunnybrook Patients
Heart failure patients followed at Sunnybrook
|
|
Peterborough Regional Health Center Patients
Heart failure patients followed at Peterborough Regional Health Center
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Prediction of CPET parameters
Time Frame: 7 months
|
Measure predictive power of cardiorespiratory fitness estimated from data obtained from Apple Watch in combination with clinical and/or demographical data against reductions in measures of cardiorespiratory fitness in heart failure patients such as peak VO2
|
7 months
|
|
Prediction of worsening heart failure
Time Frame: 7 months
|
Measure predictive power of cardiorespiratory fitness estimated from data obtained from Apple Watch in combination with clinical and/or demographical data against worsening heart failure
|
7 months
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Prediction of CPET parameters
Time Frame: 7 months
|
Measure predictive power of biometric data obtained from Apple Watch in combination with clinical and/or demographical data against cardiorespiratory fitness measurements as assessed by CPET
|
7 months
|
|
Prediction of worsening HF as a combined and stratified outcome
Time Frame: 2 years
|
Measure predictive power of biometric data obtained from Apple Watch in combination with clinical and/or demographical data against worsening heart failure
|
2 years
|
|
Prediction of existing markers of poor prognosis
Time Frame: 2 years
|
Measure predictive power of biometric data obtained from Apple Watch in combination with clinical and/or demographical data from the Apple Watch be against existing markers of poor prognosis specifically as defined by the SHFM, BNP, Quality of life (QOL) indicators, and CPET parameters?
|
2 years
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Study Chair: Heather Ross, MD, University Health Network, Toronto
- Principal Investigator: Chris McIntosh, PhD, University Health Network, Toronto
- Principal Investigator: Yasbanoo Moayedi, MD, University Health Network - Toronto General Hospital
Study record dates
Study Major Dates
Study Start (Estimated)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 25-5233
- 203992 (Other Grant/Funding Number: Canadian Institutes of Health Research (CIHR))
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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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