[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100575086":3},{"organization":4,"armGroups":7,"interventions":10,"overallOfficials":10,"centralContacts":12,"locations":10,"responsibleParty":18,"collaborators":10,"id":22,"slug":23,"hasResults":24,"nctId":25,"briefTitle":26,"officialTitle":26,"acronym":27,"eligibilityCriteria":28,"healthyVolunteers":24,"sex":29,"minAge":30,"maxAge":10,"enrollmentInfo":31,"targetDuration":10,"studyType":34,"phases":10,"briefSummary":35,"conditions":36,"keywords":39,"overallStatus":45,"whyStopped":10,"lastUpdateSubmitDate":46,"lastUpdatePostDateStruct":47,"startDateStruct":50,"completionDateStruct":52,"leadSponsor":54,"locationsCount":10},{"fullName":5,"class":6},"Institute of Mountain Emergency Medicine","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":10},"Patients after Out-of-Hospital Cardiac Arrest (OHCA) with ROSC in the Province of Bolzano, Italy",null,"Patients after Out-of-Hospital Cardiac Arrest (OHCA) with Return of Spontaneous Circulation (ROSC) in the Province of Bolzano, Italy",[13],{"name":14,"role":15,"phone":16,"phoneExt":10,"email":17},"Simon Rauch, MD, PhD","CONTACT","+393404967398","simon.rauch@eurac.edu",{"type":19,"investigatorFullName":20,"investigatorTitle":21,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"PRINCIPAL_INVESTIGATOR","Simon Rauch","Senior Researcher","100575086","aid-omie---artificial-intelligence-in-detection-of-occlusive-myocardial-infarction-in-emergency-medicine-100575086",false,"NCT06767709","AID-OMIE - Artificial Intelligence in Detection of Occlusive Myocardial Infarction in Emergency Medicine","AID-OMIE","Inclusion Criteria:\n\n* OHCA from with ROSC in the Province of Bolzano, Italy\n* Coronary angiography (CAG) within 7 days post-OHCA\n* Age \\> 18 years\n* Available prehospital post-ROSC ECG\n* Available CAG report\n\nExclusion Criteria:\n\n* In-Hospital Cardiac Arrest (IHCA)\n* Age \\\u003C 18 years\n* Traumatic cardiac arrest\n* Cardiac arrest from a clear non-cardiac cause\n* Corrupted ECG images\n* Poor ECG digitalization quality","ALL","18 Years",{"count":32,"type":33},200,"ESTIMATED","OBSERVATIONAL","Study Objective and Hypothesis The study hypothesizes that artificial intelligence (AI)-assisted interpretation of the 12-lead electrocardiogram (ECG) can improve the care of patients resuscitated after out-of-hospital cardiac arrest (OHCA) by enabling faster and more accurate detection of occlusion myocardial infarction (OMI). This enhanced diagnostic approach could reduce the time required for revascularization, improve patient outcomes, and decrease unnecessary activations of cardiac catheterization laboratories. The primary objective of the study is to assess the effectiveness of an AI-powered ECG model in identifying acute OMI in OHCA patients whose post-return of spontaneous circulation (ROSC) ECG does not show ST-elevation.\n\nMethods\n\nThis is a retrospective observational study involving OHCA patients in Bolzano, Italy, who meet the following inclusion criteria:\n\nAged 18 years or older. Achieved ROSC after cardiac arrest. Underwent coronary angiography (CAG) within seven days post-OHCA. Prehospital post-ROSC ECG and CAG reports available.\n\nExclusion criteria include in-hospital cardiac arrest (IHCA), traumatic cardiac arrest, cardiac arrest from a non-cardiac cause, and poor-quality or corrupted ECG images. Post-ROSC ECGs will be analyzed using the PMcardio App, an AI tool for ECG interpretation. The data will be fully anonymized before storage. Coronary angiography charts will be reviewed for the presence of atherosclerotic lesions, the degree of arterial narrowing, and Thrombolysis in Myocardial Infarction (TIMI) flow, which assesses blood flow in coronary arteries.\n\nStudy Outcomes The primary outcome is the sensitivity and specificity of the AI-assisted ECG in detecting OMI in patients whose post-ROSC ECG does not show ST-elevation. Secondary outcomes include the frequency of OMI in OHCA patients without ST-elevation and the ability of the AI model to rule out OMI accurately in these cases.",[37,38],"Cardiac Arrest, Out-Of-Hospital","Cardiac Arrest Due to Underlying Cardiac Condition",[40,41,42,43,44],"Cardiac arrest","OHCA","Occlusion myocardial infarction","OMI","Artificial intelligence","NOT_YET_RECRUITING","2025-08-05",{"date":48,"type":49},"2025-08-08","ACTUAL",{"date":51,"type":33},"2025-09-01",{"date":53,"type":33},"2026-05-31",{"name":5,"class":6}]