University Hospital North Norway
Tromsø, Troms, 9038, Norway
Location status: Recruiting
NCT Number: NCT04293471
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
Interested in participating?
Request Info18 year–100 year
All sexes
Observational
Tromsø, Troms, 9038, Norway
Location status: Recruiting
The project investigates patients with left bundle branch block (LBBB) which describes a specific block in the electrical conduction system, where the electrical impulses must follow a detour, with the result that different parts of the heart-muscle do not contract at the same time. This condition is called left ventricular dyssynchrony. LBBB can be found in people who are otherwise completely healthy and need not have any practical consequences. In others LBBB is present in patients with different heart diseases such as after myocardial infarctions or other diseases involving the heart-muscle. Patients with implanted pacemakers have a similar failure in the conduction system. Both conditions can increase the risk for development of heart-failure and cardiovascular death. Dyssynchrony can be treated with a special pacemaker (cardiac resynchronisation therapy, CRT) in addition to regular medical treatment. The therapy is well established and has shown to reduce morbidity and mortality and even reverse heart-failure in some patients completely. However, the patients in need and responding to CRT treatment is still not optimally defined. New echocardiographic parameters based on strain imaging such as regional myocardial work are able quantify the degree of dyssynchrony and give new insights into the interplay of activation delay through the LBBB and loading conditions and weakness of the myocardium due to other diseases. These new and complex measures can be integrated with clinical information by machine learning (ML) as a promising tools for accurate patient selection for CRT. The project aims to find markers on ultrasound improved by ML based selection to distinguish those patients who have problems associated with the branch block from those who remain stable. This will facilitate both, an optimized patient selection for CRT treatment and follow-up schedule for those who have a stable condition.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: 15 years
Timepoint (day) of death and its cause
Time frame: 15 years
Timepoint (day) of death and its cause
Time frame: 15 years
Time point of hospital admission and main-diagnosis
Time frame: 5 years
Increase or decrease of ventricular volume in ml
Time frame: 5 years
Increase or decrease of ejection fraction in %
Time frame: 5 years
Increase or decrease of heart failure by proBNP and NYHA class
Contact information is provided by the study sponsor or research team.
University Hospital of North Norway
Other
Prediction of Heart-failure and Mortality by Echocardiographic Parameters and Machine Learning in Individuals With Left Bundle Branch Block
Acronym: EchoLBBB
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
Published trials that share one or more normalized conditions with this study.
NCT05884359
Arrhythmias, Cardiac, Bundle-Branch Block
Boston, Massachusetts, United States
View Trial DetailsNCT05769036
Arrhythmias, Cardiac, Bundle-Branch Block
Tomsk, Russia
View Trial DetailsNCT06148883
Arrhythmias, Cardiac, Bundle-Branch Block
Marseille, France
View Trial DetailsNCT05564689
Arrhythmias, Cardiac, Bundle-Branch Block
Aalborg, Denmark
View Trial Details