Improving early diagnosis of heart failure in high-risk Canadians
Official title: Multidisciplinary Approach for High Risk Patients Leading to Early Diagnosis of Canadians
Run by Cardiology Research UBC · NCT05859048 · Data updated 2026-11-12
This study is testing a new way to find heart failure earlier in high-risk Canadians by using advanced health records and special tests to see if it helps them get better care sooner.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 40 Years and up |
| Sex | All |
| Enrollment | 1360 (estimated) |
| Sponsor | Cardiology Research UBC Academic / other |
| Locations | 3 sites (Vancouver, British Columbia and 2 other locations) |
| Status | Recruiting |
| Started | March 1, 2024 |
| Main results expected | July 1, 2027 |
| Study ends | January 1, 2029 |
| Registry record updated | November 5, 2026 |
| Trial ID | NCT05859048 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are individuals over 40 years old with at least two additional risk factors for heart failure.
✕Probably not a fit
Patients without any risk factors for heart failure or those under 40 years old may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This study aims to enhance the screening process for heart failure by utilizing an electronic health records (EHR) case finding algorithm, followed by N-Terminal pro-brain natriuretic peptide (NT-proBNP) screening and artificial intelligence (AI) echocardiography. Participants will be randomized into two groups: one receiving standard care and the other undergoing early heart failure testing. The intervention group will have their NT-proBNP levels tested, and those with elevated levels will receive further AI echocardiogram and ECG assessments. The goal is to identify patients at risk for heart failure earlier than the standard care approach, potentially improving patient outcomes.
Why it matters
Potential benefit: If successful, this approach could lead to earlier diagnosis and treatment of heart failure, improving patient quality of life and outcomes.
How similar studies have gone: Other studies have shown promise in using similar screening approaches, indicating potential for success in this novel intervention.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Male or female \> 40 years of age * Informed consent * At least two additional risk factors for Heart Failure (HF): * Coronary artery disease (either a previous documented type 1 myocardial infarction or coronary artery bypass grafting or percutaneous coronary intervention or documented stenosis or an epicardial coronary artery (50% left main stem or \>70% left anterior descending, circumflex or right coronary artery)). * Diabetes type 1 or 2. * Persistent or permanent atrial fibrillation. * Previous ischemic or embolic stroke. * Peripheral artery disease (previous surgical or percutaneous revascularization or documented stenosis \>50% of major peripheral arterial vessel. * Chronic kidney disease (defined as an estimated glomerular filtration rate (eGFR)\<60 milliliters per minute (mL/min)/1.73m2 or eGFR 60-90 mL/min/1.73m2 and urine albumin-creatinine ration (UACR) \>300mg/g). * Regular loop diuretic use for \>30 days within 12 months prior to consent. * Chronic obstructive pulmonary disease (COPD) evidenced by one of the following: Pulmonary Function Test (PFT) showing airway obstruction, diagnosis of respiratory physician, CT scan reporting presence of emphysema, or treatment with national guidance advocated COPD therapy. Exclusion Criteria: * Inability to give informed consent (e.g. due to significant cognitive impairment). * Previous diagnosis of heart failure. This is any diagnosis of heart failure with any ejection fraction of any cause. * Renal replacement therapy. * Anyone who, in the investigator's opinion, is not suitable to participate in the trial for other reasons e.g., a diagnosis which may compromise survival over the study period.
Where it's running
-
Vancouver General Hospital
Vancouver, British Columbia, Canada Recruiting -
Montreal Heart Institute
Montreal, Quebec, Canada Not yet recruiting -
University of Sherbrooke
Sherbrooke, Quebec, Canada Not yet recruiting
Study contacts
- Principal investigator: Nathaniel M Hawkins, MD — Associate Professor of Medicine, UBC Division of Cardiology
- Study coordinator: Naomi Uchida, BSN
- Email: naomi.uchida@ubc.ca
- Phone: 16048754521
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
-
Using Apple Watch data to predict heart failure outcomes
This study is testing if data from Apple Watches can help predict heart failure problems and the chances of needing to go back to the hospital for patients with heart failure.
-
Comparing Aortix Device to Diuretics for Acute Heart Failure
This study is testing whether the Aortix device can help people with acute heart failure who aren't responding to diuretics feel better compared to standard treatment.
-
Myocardial Energetics Across Cardiovascular Disease Spectrum Using 31P-MRS
Researchers are testing whether phosphorus-31 magnetic resonance spectroscopy (31P-MRS) can map heart energy metabolism across healthy people and patients with various heart conditions.
-
Tailored digital support to cut sedentary time in long-term cardiac rehab
In adults in a long-term cardiac rehabilitation program, this study tests whether a personalized behavioural program with digital tools can reduce daily sitting time.
-
NT-proBNP–guided heart failure screening for people 65+ in rural China
This study tests whether using NT-proBNP blood tests to guide heart failure screening in adults 65 and older in rural China can find unrecognized heart problems more effectively than symptom-based screening.
-
Voice-based detection of heart failure deterioration using Noah Labs Vox
This study tests whether a voice-analysis app can flag worsening heart failure in adults by comparing its alerts to standard weight-based monitoring.
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.