[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100634226":3},{"organization":4,"armGroups":7,"interventions":10,"overallOfficials":10,"centralContacts":10,"locations":10,"responsibleParty":15,"collaborators":17,"id":26,"slug":27,"hasResults":28,"nctId":29,"briefTitle":30,"officialTitle":31,"acronym":32,"eligibilityCriteria":33,"healthyVolunteers":28,"sex":34,"minAge":35,"maxAge":36,"enrollmentInfo":37,"targetDuration":40,"studyType":41,"phases":10,"briefSummary":42,"conditions":43,"keywords":10,"overallStatus":46,"whyStopped":10,"lastUpdateSubmitDate":47,"lastUpdatePostDateStruct":48,"startDateStruct":51,"completionDateStruct":53,"leadSponsor":55,"locationsCount":10},{"fullName":5,"class":6},"Shanghai Zhongshan Hospital","OTHER",[8,12],{"label":9,"type":10,"description":11,"interventionNames":10},"Acute Type A Aortic Dissection (TAAD)",null,"Participants presenting with chest pain or related symptoms who are ultimately diagnosed with acute type A aortic dissection based on computed tomographic angiography (CTA) or other definitive diagnostic modalities. All participants undergo electrocardiogram (ECG) acquisition and standard clinical evaluation in the emergency setting, and their data are used to assess the diagnostic performance of the artificial intelligence-based ECG model.",{"label":13,"type":10,"description":14,"interventionNames":10},"Non-TAAD Chest Pain","Participants presenting with chest pain or related symptoms who are determined not to have acute type A aortic dissection after complete diagnostic evaluation. Final diagnoses may include other cardiovascular or non-cardiovascular causes of chest pain. All participants undergo electrocardiogram (ECG) acquisition and standard clinical evaluation in the emergency setting, and their data are used to assess the diagnostic performance of the artificial intelligence-based ECG model.",{"type":16,"investigatorFullName":10,"investigatorTitle":10,"investigatorAffiliation":10,"oldNameTitle":10,"oldOrganization":10},"SPONSOR",[18,20,22,24],{"name":19,"class":6},"Yan'an Affiliated Hospital of Kunming Medical University",{"name":21,"class":6},"Taian City Central Hospital",{"name":23,"class":6},"Mianyang Central Hospital",{"name":25,"class":6},"Guangdong Provincial People's Hospital","100634226","triage-and-recognition-of-acute-aortic-dissection-in-chest-pain-by-electrocardiogram-artificial-intelligence-100634226",false,"NCT07536932","Triage and Recognition of Acute Aortic Dissection in Chest Pain by Electrocardiogram-Artificial Intelligence","A Multicenter Prospective Study to Develop and Validate an Artificial Intelligence-Based Electrocardiogram Model for the Diagnosis of Acute Type A Aortic Dissection in Patients Presenting With Chest Pain","TRACE","Inclusion Criteria:\n\n* Male or female emergency department patients aged 18-80 years;\n* Clear presentation of chest pain or related chest\u002Fback pain;\n* Completion of standard 12-lead electrocardiography (ECG) within 24 hours after onset of chest pain;\n* ECG signal quality meeting the following criteria: QRS amplitude ≥ 0.1 mV and noise proportion \\\u003C 20%;\n* Availability of subsequent diagnostic workup confirming whether the patient had acute type A aortic dissection (TAAD) or another definitive diagnosis.\n\nExclusion Criteria:\n\n* Poor-quality ECG recordings, defined as missing leads in ≥ 3 leads or severe baseline instability;\n* Indeterminate final diagnosis;\n* History of prior surgery involving the aortic valve, aortic root, or ascending aorta.","ALL","18 Years","80 Years",{"count":38,"type":39},10000,"ESTIMATED","1 Day","OBSERVATIONAL","The goal of this prospective multicenter observational study is to learn whether an artificial intelligence model based on electrocardiograms (ECGs) can help diagnose acute type A aortic dissection (TAAD) in adults who come to the emergency department with chest pain or related symptoms. The main question it aims to answer is:\n\nCan the AI-ECG model accurately distinguish TAAD from other causes of chest pain in a real-world emergency setting? Researchers will compare the AI model's ECG-based predictions with the final diagnosis confirmed by computed tomographic angiography (CTA), which is the reference standard. Participants will undergo routine emergency ECG testing and subsequent diagnostic evaluation as part of standard care. Clinical and ECG data will be collected from five tertiary hospitals, and the model's diagnostic performance will be assessed across centers.",[44,45],"Aortic Dissection Type A","Chest Pain","NOT_YET_RECRUITING","2026-04-11",{"date":49,"type":50},"2026-04-17","ACTUAL",{"date":52,"type":39},"2026-04",{"date":54,"type":39},"2026-12",{"name":5,"class":6}]