ECG Methods for the Prompt Identification of Coronary Events
NCT ID: NCT04237688
Last Updated: 2024-08-16
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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COMPLETED
6000 participants
OBSERVATIONAL
2013-05-01
2023-12-31
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
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
18 Years
ALL
No
Sponsors
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National Heart, Lung, and Blood Institute (NHLBI)
NIH
University of Pittsburgh
OTHER
Responsible Party
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Salah Shafiq Al-Zaiti
Professor
Principal Investigators
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Salah s Al-Zaiti, RN, PhD
Role: PRINCIPAL_INVESTIGATOR
Univ of Pittsburgh
Locations
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University of Pittsburgh Medical Center
Pittsburgh, Pennsylvania, United States
Countries
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References
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Bouzid Z, Faramand Z, Martin-Gill C, Sereika SM, Callaway CW, Saba S, Gregg R, Badilini F, Sejdic E, Al-Zaiti SS. Incorporation of Serial 12-Lead Electrocardiogram With Machine Learning to Augment the Out-of-Hospital Diagnosis of Non-ST Elevation Acute Coronary Syndrome. Ann Emerg Med. 2023 Jan;81(1):57-69. doi: 10.1016/j.annemergmed.2022.08.005. Epub 2022 Oct 15.
Faramand Z, Helman S, Ahmad A, Martin-Gill C, Callaway C, Saba S, Gregg RE, Wang J, Al-Zaiti S. Performance and limitations of automated ECG interpretation statements in patients with suspected acute coronary syndrome. J Electrocardiol. 2021 Nov-Dec;69S:45-50. doi: 10.1016/j.jelectrocard.2021.08.014. Epub 2021 Aug 18.
Faramand Z, Martin-Gill C, Callaway C, Al-Zaiti S. Modified HEART score to optimize risk stratification in cocaine-associated chest pain. Am J Emerg Med. 2021 Sep;47:307-308. doi: 10.1016/j.ajem.2021.01.023. Epub 2021 Jan 15. No abstract available.
Bouzid Z, Faramand Z, Gregg RE, Frisch SO, Martin-Gill C, Saba S, Callaway C, Sejdic E, Al-Zaiti S. In Search of an Optimal Subset of ECG Features to Augment the Diagnosis of Acute Coronary Syndrome at the Emergency Department. J Am Heart Assoc. 2021 Feb 2;10(3):e017871. doi: 10.1161/JAHA.120.017871. Epub 2021 Jan 17.
Other Identifiers
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STUDY19060239
Identifier Type: -
Identifier Source: org_study_id
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