[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100658262":3},{"organization":4,"outcomesModule":7,"designInfo":19,"detailedDescription":18,"studyPopulation":18,"armGroups":26,"interventions":38,"overallOfficials":18,"centralContacts":48,"locations":54,"responsibleParty":72,"collaborators":74,"id":77,"slug":78,"hasResults":79,"nctId":80,"briefTitle":81,"officialTitle":81,"acronym":18,"eligibilityCriteria":82,"healthyVolunteers":83,"sex":84,"minAge":85,"maxAge":18,"enrollmentInfo":86,"targetDuration":18,"studyType":89,"phases":90,"briefSummary":92,"conditions":93,"keywords":95,"overallStatus":100,"whyStopped":18,"lastUpdateSubmitDate":101,"lastUpdatePostDateStruct":102,"startDateStruct":105,"completionDateStruct":107,"leadSponsor":109,"locationsCount":110},{"fullName":5,"class":6},"Norwegian University of Science and Technology","OTHER",{"primaryOutcomes":8,"secondaryOutcomes":13,"otherOutcomes":18},[9],{"measure":10,"description":11,"timeFrame":12},"Echocardiographic Acquisition Success","Percentage of acquired examinations successfully processed by the deep-learning pipeline to generate myocardial work indices, assessed separately at rest, during handgrip, and during bicycle exercise.","During one study visit: at rest, during the handgrip and bicycle test.",[14],{"measure":15,"description":16,"timeFrame":17},"Agreement Between Deep Learning- and Expert-Derived Myocardial Work Indices","Agreement for myocardial work indices will be assessed using mean bias with 95% limits of agreement, and mean absolute error.","Echocardiograms acquired at rest and during handgrip and bicycle exercise at a single study visit.",null,{"allocation":20,"interventionModel":21,"interventionModelDescription":22,"primaryPurpose":23,"observationalModel":18,"timePerspective":18,"maskingInfo":24},"NON_RANDOMIZED","PARALLEL","Participants with heart failure and healthy controls undergo echocardiography at rest, during sustained handgrip, and during semi-supine bicycle exercise. Within-participant changes and responses between groups are compared.","BASIC_SCIENCE",{"masking":25,"maskingDescription":18,"whoMasked":18},"NONE",[27,34],{"label":28,"type":29,"description":30,"interventionNames":31},"Participants With Heart Failure","EXPERIMENTAL","Participants undergo echocardiography at rest, during sustained handgrip, and during semi-supine bicycle exercise.",[32,33],"Behavioral: Sustained Isometric Handgrip Exercise","Behavioral: Semi-Supine Bicycle Exercise",{"label":35,"type":29,"description":36,"interventionNames":37},"Healthy Volunteers","Healthy volunteers undergo echocardiography at rest, during sustained handgrip, and during semi-supine bicycle exercise.",[32,33],[39,44],{"type":40,"name":41,"description":42,"armGroupLabels":43,"otherNames":18},"BEHAVIORAL","Sustained Isometric Handgrip Exercise","Participants perform sustained isometric handgrip at around 30 % of maximal voluntary contraction for 5 minutes during echocardiography.",[35,28],{"type":40,"name":45,"description":46,"armGroupLabels":47,"otherNames":18},"Semi-Supine Bicycle Exercise","Participants perform graded semi-supine bicycle exercise during echocardiography.",[35,28],[49],{"name":50,"role":51,"phone":52,"phoneExt":18,"email":53},"Håvard Dalen, Professor Havard Dalen, MD, Ph","CONTACT","+4772828027","havard.dalen@ntnu.no",[55],{"facility":56,"status":18,"city":57,"state":18,"zip":58,"country":59,"countryCode":60,"cosmosGeoPoint":61,"geoPoint":66,"contacts":67},"St. Olavs hospital","Trondheim","7006","Norway","NO",{"type":62,"coordinates":63},"Point",[64,65],10.39506,63.43049,{"lat":65,"lon":64},[68],{"name":69,"role":51,"phone":70,"phoneExt":18,"email":71},"Ingrid Yttervoll, MD","90741665","ingrid.yttervoll@ntnu.no",{"type":73,"investigatorFullName":18,"investigatorTitle":18,"investigatorAffiliation":18,"oldNameTitle":18,"oldOrganization":18},"SPONSOR",[75],{"name":76,"class":6},"St. Olavs Hospital","100658262","deep-learning-based-automated-pressure-strain-loop-analysis-100658262",false,"NCT07850726","Deep Learning-Based Automated Pressure-Strain Loop Analysis","Inclusion Criteria:\n\nHeart failure participants:\n\n* Age ≥18 years\n* Able to provide informed consent\n* Previous myocardial infarction\n* Left ventricular ejection fraction ≤40% after myocardial infarction\n\nHealthy volunteers:\n\n* Age ≥18 years\n* Able to provide informed consent\n\nExclusion Criteria:\n\nHeart failure participants:\n\n* Unstable disease\n* Contraindication to exercise testing or echocardiography, as judged by an experienced cardiologist\n\nHealthy volunteers:\n\n* Hypertension\n* Diabetes mellitus\n* Dyslipidemia\n* Current smoking\n* Pregnancy\n* Significant systemic disease\n* Cardioactive medication affecting heart rate, myocardial contractility, or vascular tone\n* Echocardiographic findings suggesting structural heart disease",true,"ALL","18 Years",{"count":87,"type":88},25,"ESTIMATED","INTERVENTIONAL",[91],"NA","Noninvasive left ventricular pressure-strain loop analysis estimates myocardial work from longitudinal strain, brachial systolic blood pressure, and cardiac valve-event timing. It provides global work index, constructive work, wasted work, and work efficiency.\n\nThis study evaluates a deep-learning method that automates myocardial work and loop-shape analysis. The method may reduce analysis time, improve reproducibility, and identify patterns associated with heart failure.",[94],"Heart Failure",[96,97,98,99],"Myocardial work","Pressure-strain loop","Artificial intelligence","Deep learning","NOT_YET_RECRUITING","2026-09-24",{"date":103,"type":104},"2026-09-30","ACTUAL",{"date":106,"type":88},"2026-09",{"date":108,"type":88},"2027-05",{"name":5,"class":6},1]