Assessing heart risks in patients with left bundle branch block using echocardiography
Official title: Prediction of Heart-failure and Mortality by Echocardiographic Parameters and Machine Learning in Individuals With Left Bundle Branch Block
Run by University Hospital of North Norway · NCT04293471 · Data updated 2026-11-12
This study is trying to see if new heart imaging techniques can help doctors figure out the risks for patients with left bundle branch block and identify who might benefit from a specific heart treatment.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years to 100 Years |
| Sex | All |
| Enrollment | 2000 (estimated) |
| Sponsor | University Hospital of North Norway Academic / other |
| Locations | 1 site (Tromsø, Troms) |
| Status | Recruiting |
| Started | April 15, 2021 |
| Main results expected | December 31, 2027 |
| Study ends | December 31, 2036 |
| Registry record updated | May 24, 2022 |
| Trial ID | NCT04293471 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are patients with left bundle branch block who have specific echocardiographic findings and may have previously undergone cardiac resynchronization therapy.
✕Probably not a fit
Patients with typical right bundle branch block or those with non-cardiovascular comorbidities that significantly reduce life expectancy 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 observational study focuses on patients with left bundle branch block (LBBB), a condition that can lead to heart failure and increased mortality. By utilizing machine learning techniques, the study aims to identify echocardiographic parameters and ECG characteristics that can help in developing individual risk assessments for these patients. The research will explore how new echocardiographic measures, particularly strain imaging and regional myocardial work, can provide insights into the effects of LBBB on heart function. The ultimate goal is to better define which patients may benefit from cardiac resynchronization therapy (CRT).
Why it matters
Potential benefit: If successful, this study could lead to improved risk stratification and treatment outcomes for patients with left bundle branch block.
How similar studies have gone: Other studies have shown promise in using echocardiographic parameters and machine learning for risk assessment in cardiac conditions, suggesting a potential for success in this approach.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * QRS complex \>130 ms and R-wave duration in * V6 \>70 ms * ventricular pacing\>50% * Previously implanted cardiac resynchronisation therapy (CRT) Exclusion Criteria: * Typical right bundle branch block. * No ability to give informed consent, * non-cardiovascular co-mobidities with reduced life-expectancy \< 1 year * patients with complex congenital heart disease.
Where it's running
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University Hospital North Norway
Tromsø, Troms, Norway Recruiting
Study contacts
- Principal investigator: Assami Rösner, MD,PhD — University Hospital North Norway
- Study coordinator: Assami Rösner, MD,PhD
- Email: assami.rosner@unn.no
- Phone: 04795990071
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
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Left bundle branch area pacing with multimodal guidance vs. conventional pacing for heart failure with complete left bundle branch block
A multicenter trial tests whether using multimodal data to guide left bundle branch area pacing helps people with heart failure and complete left bundle branch block, compared with traditional biventricular pacing.
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ML-based diagnosis of blocked arteries in patients with a left bundle branch block
Doctors are testing a machine learning tool that uses digital ECGs to see if a blocked coronary artery is present in patients with a left bundle branch block.
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Using ultra‑high‑frequency ECG to distinguish true LBBB and guide whether left bundle branch or biventricular pacing is best
We will test whether ultra‑high‑frequency ECG can tell 'true' left bundle branch block from other intraventricular conduction delays and see if people with heart failure and a wide non‑RBBB QRS do better with left bundle branch pacing than with biventricular pacing.
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Evaluating different approaches to cardiac pacing in patients
This study is testing different ways to place pacemakers in adults to see which methods work best and are safest for patients needing heart support.
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Managing new left bundle branch block after transcatheter aortic valve implantation
This compares using a one-month ambulatory ECG after TAVR with doing an immediate electrophysiology study to decide if patients who develop a new, persistent left bundle branch block need a pacemaker.
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Mapping the Left Bundle Branch Area for Pacemaker Placement
This study is testing how using 3D mapping technology during pacemaker placement can help doctors understand the heart's Left Bundle Branch Area better and improve the success of the procedure for patients.
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.