[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100646456":3},{"organization":4,"armGroups":7,"interventions":10,"overallOfficials":10,"centralContacts":12,"locations":10,"responsibleParty":18,"collaborators":22,"id":39,"slug":40,"hasResults":41,"nctId":42,"briefTitle":43,"officialTitle":44,"acronym":45,"eligibilityCriteria":46,"healthyVolunteers":41,"sex":47,"minAge":48,"maxAge":10,"enrollmentInfo":49,"targetDuration":10,"studyType":52,"phases":10,"briefSummary":53,"conditions":54,"keywords":10,"overallStatus":56,"whyStopped":10,"lastUpdateSubmitDate":57,"lastUpdatePostDateStruct":58,"startDateStruct":61,"completionDateStruct":63,"leadSponsor":65,"locationsCount":10},{"fullName":5,"class":6},"Baker Heart and Diabetes Institute","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":10},"Aortic stenosis",null,"Patients with asymptomatic moderate to severe native AS (n=160) (based on guideline-recommended diagnosis and care with peak aortic velocity \\>3.5m\u002Fsec).",[13],{"name":14,"role":15,"phone":16,"phoneExt":10,"email":17},"Sjoerd Levelt, PhD","CONTACT","+61385321874","sjoerd.levelt@baker.edu.au",{"type":19,"investigatorFullName":20,"investigatorTitle":21,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"PRINCIPAL_INVESTIGATOR","Eylem Levelt","Professor of Cardiology, Head of Cardiometabolic Imaging Lab",[23,25,27,29,31,33,35,37],{"name":24,"class":6},"The Alfred",{"name":26,"class":6},"Monash Medical Centre",{"name":28,"class":6},"St Vincent's Hospital Melbourne",{"name":30,"class":6},"University of Melbourne",{"name":32,"class":6},"Deakin University",{"name":34,"class":6},"La Trobe University",{"name":36,"class":6},"The University of Western Australia",{"name":38,"class":6},"Melbourne Health","100646456","remote-monitoring-for-patients-with-aortic-stenosis-100646456",false,"NCT07690748","Remote Monitoring for Patients With Aortic Stenosis","Remote Monitoring for Asymptomatic Patients With Moderate to Severe Aortic Valve Stenosis - Remote-AS","Remote-AS","Inclusion Criteria:\n\n* Male or female ≥18 years of age\n* Suitable to undergo MRI scans\n* With asymptomatic moderate to severe native AS (based on guideline-recommended diagnosis and care)\n* Eligible for Medicare\n* Ability and willingness to provide written and informed consent and to comply with the requirements of the study.\n\nExclusion Criteria:\n\n* Serious comorbidity other than AS that limits the life expectancy (\\\u003C2 years), or affects study participation or outcome (severe frailty and mobility issues \\[Rockwood frailty score \\>6\\], severe kidney disease eGFR\\\u003C30, infiltrative cardiomyopathy)\n* Known heart failure or reduced left ventricular ejection fraction (\\\u003C50%)\n* Moderate or above valvular pathology other than AS\n* Contra-indications to CMR (including presence of foreign metallic bodies)\n* Known hypersensitivity to adenosine (ever requiring hospital admission with asthma or chronic obstructive pulmonary disease) or gadolinium\n* Significant renal impairment (eGFR\\\u003C30ml\u002Fmin\u002Fm2)","ALL","18 Years",{"count":50,"type":51},160,"ESTIMATED","OBSERVATIONAL","Remote-AS aims to develop a remote digital monitoring cohort of people with AS and use these data to establish a digital twin intervention to personalise risks and benefits, and optimise the time of surgical or transcatheter aortic valve replacement (AVR) referral. Our digital solution will also seek modelling for optimal care for patients to whom AVR is indicated who choose not to undergo the procedure, supporting a patient-selected observational strategy for managing heart failure symptoms, facilitating patient education and self-care.\n\nObjectives of the study are:\n\n* To establish a large-scale interdisciplinary research program to drive implementation of substantial improvements to health care and\u002For health system effectiveness in patients with aortic stenosis (AS)\n* To establish a new model of patient-centred management strategy for asymptomatic severe AS to inform the optimal time at which valve intervention should take place\n* For patients to whom AVR is indicated who choose not to undergo the procedure, to support a patient-selected observational strategy for managing heart failure symptoms\n* To develop a digital twin with predictive capabilities of artificial intelligence (AI) for guiding the optimal timing of AVR in patients with asymptomatic severe AS\n\nParticipants will be patients with asymptomatic moderate to severe native AS (n=160) (based on guideline-recommended diagnosis and care with peak aortic velocity \\>3.5m\u002Fsec).\n\nParticipants will undergo:\n\nWearables: collection of physiological (e.g., blood pressure, heart rate, rhythm) and behavioural (physical activity) data through a wearable device ('smart watch'), collected through the comprehensive remote heart health monitoring and automated feedback delivery system app SMART.\n\nPatient reported outcome measures: KCCQ-CSS; EQ-5D-5L index score; \"Toronto Aortic Stenosis\" quality of life questionnaires.\n\nAdvanced cardiovascular imaging: Cardiovascular magnetic resonance (CMR) imaging; 31phosphorus magnetic resonance spectroscopy (31P-MRS); proton magnetic resonance spectroscopy (1H-MRS); echocardiography.\n\nComprehensive plasma proteome profiling: Plasma proteomic preparation coupled with the Orbitrap Astral mass spectrometer.\n\nRecording of clinical outcomes.",[55],"Aortic Stenosis","NOT_YET_RECRUITING","2026-07-06",{"date":59,"type":60},"2026-07-08","ACTUAL",{"date":62,"type":51},"2026-09-01",{"date":64,"type":51},"2030-08",{"name":5,"class":6}]