ST-segment Elevation Not Associated With Acute Cardiac Necrosis (LESTONNAC)
NCT ID: NCT05689970
Last Updated: 2024-03-06
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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ACTIVE_NOT_RECRUITING
420 participants
OBSERVATIONAL
2022-07-25
2024-07-24
Brief Summary
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Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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STE patients
Patients with ST segment elevation (STE) and coronary arteries without significant lesions and without a serum troponin curve suggestive of acute necrosis (group without acute myocardial necrosis).
AI platform to detect ST elevation in ECG
A clinical decision support software as a medical device that detects whether a patient has ST elevation due to acute myocardial ischemia or due to another etiology based upon the input of one or more ECGs and other clinical data obtained at the point-of-care.
STEMI patients
Patients with ST segment elevation with acute occlusion of at least one epicardial coronary artery and TIMI flow 0 or I (group with acute myocardial necrosis of ischemic origin), that meet the definition of myocardial infarction (STEMI) with an acute cardiac necrosis curve verified by measurement of troponin I or troponin T.
AI platform to detect ST elevation in ECG
A clinical decision support software as a medical device that detects whether a patient has ST elevation due to acute myocardial ischemia or due to another etiology based upon the input of one or more ECGs and other clinical data obtained at the point-of-care.
Interventions
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AI platform to detect ST elevation in ECG
A clinical decision support software as a medical device that detects whether a patient has ST elevation due to acute myocardial ischemia or due to another etiology based upon the input of one or more ECGs and other clinical data obtained at the point-of-care.
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
* Chest pain or symptoms suggestive of myocardial ischemia.
* STE at point J in the12-lead electrocardiogram prior to activation of the infarction code in two contiguous leads ≥0.1 mV, in V2 and V3 ≥0.2 mV.
* Signature of informed consent.
Exclusion Criteria
* Acute cardiac necrosis in the absence of significant epicardial coronary artery stenosis \>70% (vasospasm, takotsubo stress cardiomyopathy, myocarditis, coronary artery dissection, acute myocardial infarction without obstructive coronary lesions - MINOCA).
* STE≤0.1 mV with pathologic Q wave suggestive of previous chronic infarction.
* Severe anemia (hemoglobin \<8.0 g/dl).
18 Years
ALL
No
Sponsors
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Hospital General Universitario Gregorio Marañon
OTHER
Spanish Society of Cardiology
OTHER
Idoven 1903 S.L.
INDUSTRY
Responsible Party
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Principal Investigators
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Manuel Martínez-Sellés, MD
Role: PRINCIPAL_INVESTIGATOR
Hospital Universitario Gregorio Marañón
Locations
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Hospital Universitario de Canarias
San Cristóbal de La Laguna, Santa Cruz De Tenerife, Spain
Hospital de Basurto
Bilbao, Vizcaya, Spain
Hospital Vall D' Hebron
Barcelona, , Spain
Idoven
Madrid, , Spain
Servicio Cardiología Hospital Universitario Gregorio Marañón
Madrid, , Spain
Hospital Clínico San Carlos
Madrid, , Spain
Hospital Clínico Universitario de Valladolid
Valladolid, , Spain
Countries
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References
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Martinez-Selles M, Bueno H, Sacristan A, Estevez A, Ortiz J, Gallego L, Fernandez-Aviles F. Chest pain in the emergency department: incidence, clinical characteristics and risk stratification. Rev Esp Cardiol. 2008 Sep;61(9):953-9. English, Spanish.
Lillo-Castellano JM, Gonzalez-Ferrer JJ, Marina-Breysse M, Martinez-Ferrer JB, Perez-Alvarez L, Alzueta J, Martinez JG, Rodriguez A, Rodriguez-Perez JC, Anguera I, Vinolas X, Garcia-Alberola A, Quintanilla JG, Alfonso-Almazan JM, Garcia J, Borrego L, Canadas-Godoy V, Perez-Castellano N, Perez-Villacastin J, Jimenez-Diaz J, Jalife J, Filgueiras-Rama D. Personalized monitoring of electrical remodelling during atrial fibrillation progression via remote transmissions from implantable devices. Europace. 2020 May 1;22(5):704-715. doi: 10.1093/europace/euz331.
Quartieri F, Marina-Breysse M, Pollastrelli A, Paini I, Lizcano C, Lillo-Castellano JM, Grammatico A. Artificial intelligence augments detection accuracy of cardiac insertable cardiac monitors: Results from a pilot prospective observational study. Cardiovasc Digit Health J. 2022 Aug 4;3(5):201-211. doi: 10.1016/j.cvdhj.2022.07.071. eCollection 2022 Oct.
Study Documents
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Document Type: Study Protocol
View DocumentOther Identifiers
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350/21
Identifier Type: -
Identifier Source: org_study_id
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