[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100616051":3},{"organization":4,"armGroups":7,"interventions":8,"overallOfficials":7,"centralContacts":7,"locations":13,"responsibleParty":39,"collaborators":41,"id":49,"slug":50,"hasResults":51,"nctId":52,"briefTitle":53,"officialTitle":53,"acronym":54,"eligibilityCriteria":55,"healthyVolunteers":51,"sex":56,"minAge":57,"maxAge":7,"enrollmentInfo":58,"targetDuration":7,"studyType":61,"phases":7,"briefSummary":62,"conditions":63,"keywords":7,"overallStatus":69,"whyStopped":7,"lastUpdateSubmitDate":70,"lastUpdatePostDateStruct":71,"startDateStruct":74,"completionDateStruct":76,"leadSponsor":78,"locationsCount":79},{"fullName":5,"class":6},"Hamilton Health Sciences Corporation","OTHER",null,[9],{"type":10,"name":11,"description":12,"armGroupLabels":7,"otherNames":7},"DEVICE","Continuous vital signs measurement device","In this observational study, enrolled participants will wear the Vitaliti™ CVSM-1A device continuously before surgery, wherever and whenever possible, or as soon as possible after surgery and for up to 30-days after surgery. We will collect continuous biometric data using the Vitaliti™ CVSM-1A device. Patients, healthcare providers, data collectors, and outcome adjudicators will be blind to the Vitaliti™ data. Data from participants will be analyzed to determine the pattern and frequency of physiological precursors to outcome events. This data will be used to inform machine learning algorithms for prediction and early detection of post-surgical complications. A biobank will also be established to support exploratory proteomic and genotyping analyses to better understand biological mechanisms underlying post-operative complications.",[14,27,33],{"facility":15,"status":7,"city":16,"state":17,"zip":18,"country":19,"countryCode":20,"cosmosGeoPoint":21,"geoPoint":26,"contacts":7},"Hamilton General Hospital","Hamilton","Ontario","L8L 2X2","Canada","CA",{"type":22,"coordinates":23},"Point",[24,25],-79.84963,43.25011,{"lat":25,"lon":24},{"facility":28,"status":7,"city":16,"state":17,"zip":29,"country":19,"countryCode":20,"cosmosGeoPoint":30,"geoPoint":32,"contacts":7},"St. Joseph's Healthcare Hamilton","L8N 4A6",{"type":22,"coordinates":31},[24,25],{"lat":25,"lon":24},{"facility":34,"status":7,"city":16,"state":17,"zip":35,"country":19,"countryCode":20,"cosmosGeoPoint":36,"geoPoint":38,"contacts":7},"Juravinski Hospital & Cancer Centre","L8V 1C3",{"type":22,"coordinates":37},[24,25],{"lat":25,"lon":24},{"type":40,"investigatorFullName":7,"investigatorTitle":7,"investigatorAffiliation":7,"oldNameTitle":7,"oldOrganization":7},"SPONSOR",[42,44,47],{"name":43,"class":6},"McMaster University",{"name":45,"class":46},"Canadian Institutes of Health Research (CIHR)","OTHER_GOV",{"name":48,"class":6},"Population Health Research Institute","100616051","vascular-events-in-noncardiac-surgery-patients-cohort-evaluation-study-2-100616051",false,"NCT07300579","Vascular Events in Noncardiac Surgery Patients Cohort Evaluation Study 2","VISION-2","Inclusion Criteria:\n\n1. age ≥65 years;\n2. underwent non-cardiac surgery with general, neuraxial, local, or regional anesthesia; and\n3. expected length of hospital stay of 3 or more days\n\nExclusion Criteria:\n\n1. hearing aid(s) or cochlear implant(s) in left ear;\n2. pacemaker\u002Fimplantable cardioverter-defibrillator (ICD);\n3. externally programmable cerebrospinal fluid shunt;\n4. deep brain stimulator;\n5. intolerance\u002Fallergy to adhesive;\n6. history of dementia, or;\n7. previous enrollment in the VISION-2 Study","ALL","65 Years",{"count":59,"type":60},20000,"ESTIMATED","OBSERVATIONAL","VISION-2 is an international, multi-site, prospective observational cohort study of 20,000 patients undergoing noncardiac surgery. Continuous biometric data will be blindly collected for the first 30 postoperative days, in hospital and at home, using Vitaliti™. Following study enrollment and baseline data collection, follow up visits will occur in-hospital, at 30-days, and 1-year post-operatively.\n\nVISION-2 has 3 primary objectives, among participants who underwent noncardiac surgery, the investigators will: 1) determine the pattern and frequency of physiological precursors (i.e., biophysical signals) to MINS, BIMS, sepsis, and infection without sepsis; 2) build prediction models from these biophysical signals and their extracted features through supervised machine learning, for the prediction and early detection of those complications; and 3) build a biobank for evaluation of novel biomarkers.",[64,65,66,67,68],"Myocardial Injury After Noncardiac Surgery (MINS)","Bleeding Independently Associated With Mortality After Noncardiac Surgery (BIMS)","Sepsis","Infection Without Sepsis","Post-operative Complications","NOT_YET_RECRUITING","2026-04-09",{"date":72,"type":73},"2026-04-14","ACTUAL",{"date":75,"type":60},"2026-06",{"date":77,"type":60},"2032-06",{"name":5,"class":6},3]