About this trial
Patients with left bundle branch block have an increased risk for the development of heart-failure and death. However, risk factors for unfavorable outcomes are still poorly defined. This study aims to identify echocardiographic parameters and ECG characteristics by machine learning in order to develop individual risk assessment
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
QRS complex >130 ms and R-wave duration in
V6 >70 ms
ventricular pacing>50%
Previously implanted cardiac resynchronisation therapy (CRT)
Disqualifiers
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.
Trial population
Patients will be recruited based on epidemiological studies from Tromsø, where LBBB or ventricular pacing has been identified. Further in-hospital patients and patients from the out-patient clinics will be recruited due to ECG assessment
Trial design
Cohort
Prospective
Treatments tested in this trial
Not listed
Trial groups
Trial outcomes
Primary outcomes
Cardiovascular death
Timepoint (day) of death and its cause
Death of any cause
Timepoint (day) of death and its cause
Secondary outcomes
Hospital admission due to heart-failure
Time point of hospital admission and main-diagnosis
Other outcomes
Remodelling
Increase or decrease of ventricular volume in ml
Cardiac function
Increase or decrease of ejection fraction in %
Heart failure
Increase or decrease of heart failure by proBNP and NYHA class
Sponsors and contacts
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University Hospital of North Norway
Lead sponsor
Oslo University Hospital
Collaborator
University of Bergen
Collaborator
Norwegian University of Science and Technology
Collaborator
University of Tromso
Collaborator
KU Leuven
Collaborator