[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"valvular-heart-disease-stenosis-and-regurgitation-diagnosis\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:valvular-heart-disease-stenosis-and-regurgitation-diagnosis":27},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,54],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":17,"sex":18,"minAge":19,"maxAge":20,"enrollmentInfo":21,"targetDuration":4,"studyType":24,"phases":4,"briefSummary":25,"conditions":26,"keywords":31,"overallStatus":41,"whyStopped":4,"lastUpdateSubmitDate":42,"lastUpdatePostDateStruct":43,"startDateStruct":46,"completionDateStruct":48,"leadSponsor":50,"locationsCount":53},"100597359","prospective-evaluation-of-ai-ecg-for-shd-detection-100597359",false,"NCT07057466","Prospective Evaluation of AI-ECG for SHD Detection","Prospective Evaluation of Artificial Intelligence-enhanced Electrocardiography for Detection of Structural Heart Disease","AI-ECG-SHD","Inclusion Criteria:\n\n* Patients aged 18-90 years\n* No prior formal diagnosis of HF (including systolic and diastolic dysfunction), PH, or VHD\n* Ability to provide informed consent\n\nExclusion Criteria:\n\n* Severe arrhythmia or unstable cardiovascular disease\n* Prior formal diagnosis of HF (including systolic and diastolic dysfunction), PH, or VHD\n* Cardiac implantable electronic device in-situ, including a permanent pacemaker or implantable cardioverter defibrillator\n* Involvement in current research or recent involvement in any research prior to recruitment",true,"ALL","18 Years","90 Years",{"count":22,"type":23},590,"ESTIMATED","OBSERVATIONAL","This study aims to improve the early detection of undiagnosed heart disease, which causes serious health issues, hospital admissions, and high healthcare costs. Researchers are exploring how artificial intelligence (AI) can analyse routine heart tests, called electrocardiograms (ECGs), to detect heart problems. These tests can be done using both traditional ECG machines and portable, wearable devices like smartwatches, making it easier for people to monitor their heart health at home.\n\nWhile AI has shown promise using past data, this study will involve the collection of ECG data and subsequent testing of its accuracy in real-world settings to ensure it works well for both doctors and patients. The goal is to see if AI can identify conditions like heart muscle weakness, valve issues, and high lung pressure from the ECG data of patients. The researchers will also compare AI's detections with other blood tests commonly used to diagnose heart disease.\n\nThe AI models that will be used are being tested for research and validation purposes only. They will not be used for clinical decision-making or providing information to influence diagnosis, treatment, or patient care during the study. The AI outputs are not shared with clinicians and will have no impact on the care pathway.\n\nThis research will demonstrate if AI-powered ECG analysis - whether from traditional or portable devices - can provide a low-cost, non-invasive way to detect heart disease early and improve health assessments.",[27,28,29,30],"Valvular Heart Disease Stenosis and Regurgitation (Diagnosis)","Pulmonary Hypertension (Diagnosis)","Heart Failure With Reduced Ejection Fraction (HFrEF; Diagnosis)","Heart Failure With Preserved Ejection Fraction (HFpEF; Diagnosis)",[32,33,34,35,36,37,38,39,40],"Artificial Intelligence","Machine Learning","Wearable Devices","Portable Devices","Heart Failure","Pulmonary Hypertension","Valvular Heart Disease","Echocardiography","Electrocardiography","RECRUITING","2026-03-06",{"date":44,"type":45},"2026-03-09","ACTUAL",{"date":47,"type":45},"2025-11-04",{"date":49,"type":23},"2027-08-02",{"name":51,"class":52},"Imperial College London","OTHER",5,{"id":55,"slug":56,"hasResults":11,"nctId":57,"briefTitle":58,"officialTitle":59,"acronym":4,"eligibilityCriteria":60,"healthyVolunteers":11,"sex":18,"minAge":4,"maxAge":4,"enrollmentInfo":61,"targetDuration":4,"studyType":63,"phases":64,"briefSummary":66,"conditions":67,"keywords":71,"overallStatus":77,"whyStopped":4,"lastUpdateSubmitDate":78,"lastUpdatePostDateStruct":79,"startDateStruct":81,"completionDateStruct":83,"leadSponsor":85,"locationsCount":4},"100612290","comparison-of-early-postoperative-outcomes-between-minimally-invasive-valve-surgery-via-right-thoracotomy-and-conventional-valve-surgery-via-sternotomy-100612290","NCT07251660","Comparison of Early Postoperative Outcomes Between Minimally Invasive Valve Surgery Via Right Thoracotomy and Conventional Valve Surgery Via Sternotomy.","Comparison of Early Postoperative Outcomes Between Minimally Invasive Valve Surgery Via Right Thoracotomy and Conventional Valve Surgery Via Sternotomy","Inclusion Criteria:\n\n* Patients of any age and gender.\n* Undergoing elective, isolated mitral or aortic valve surgery.\n* Considered suitable for either:\n\n  * MIVS via right thoracotomy, or\n  * Conventional valve surgery , as decided by the operating surgical team.\n* Patients giving written informed consent.\n\nExclusion Criteria:\n\n* Emergency or redo cardiac surgeries\n* Concomitant cardiac procedures (e.g., CABG, multiple valve replacements)\n* Ejection Fraction \\\u003C30%\n* Severe pulmonary hypertension (identified as the mean pulmonary artery pressure (mPAP) exceeding 45 mmHg on echocardiography, as outlined by the AHA guidelines(10).\n* Active systemic infections or sepsis at the time of surgery\n* Refusal to participate in the study",{"count":62,"type":23},32,"INTERVENTIONAL",[65],"NA","This randomized controlled trial aims to compare early postoperative outcomes between Minimally Invasive Valve Surgery (MIVS) via right thoracotomy and Conventional Valve Surgery via median sternotomy in patients undergoing elective, isolated mitral or aortic valve surgery. Minimally invasive techniques are believed to reduce postoperative pain, ventilation time, chest drain output, and wound complications, but evidence from Pakistan is limited.\n\nThe study will enroll patients of all ages and genders who are scheduled for isolated valvular procedures at Chaudhary Pervaiz Elahi Institute of Cardiology (CPEIC), Multan. Participants will be randomly assigned to undergo either minimally invasive thoracotomy or conventional sternotomy.\n\nPrimary outcomes include ventilation time, CPB duration, cross-clamp time, pain scores, and chest drain output. Secondary outcomes include wound healing (Day 7 and 30 days), return to routine activity, echocardiographic evaluation, transfusion requirements, and 30-day mortality. Findings from this study may provide evidence to guide the adoption of minimally invasive valvular surgery techniques in low-resource and developing settings.",[68,69,70,27],"Heart Valve Diseases or Prosthesis","Aortic Valve Stenosis","Aortic Valve Insufficiency",[72,73,74,75,76],"Heart valve disease","Mitral valve surgery Aortic valve surgery Minimally invasive cardiac surgery","Conventional open-heart surgery","Aortic cross-clamping","Early postoperative outcomes","NOT_YET_RECRUITING","2025-11-19",{"date":80,"type":45},"2025-11-26",{"date":82,"type":23},"2025-12-15",{"date":84,"type":23},"2026-08-15",{"name":86,"class":87},"Chaudhry Pervaiz Elahi Institute of Cardiology","OTHER_GOV"]