ROMIAE (Rule-Out Acute Myocardial Infarction Using Artificial Intelligence Electrocardiogram Analysis) Trial

NCT ID: NCT05435391

Last Updated: 2022-06-28

Study Results

Results pending

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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Recruitment Status

UNKNOWN

Total Enrollment

8814 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-03-16

Study Completion Date

2023-05-31

Brief Summary

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This study is a prospective multicenter observational study for external validation and model advancement of a deep learning based 12-lead electrocardiogram analysis algorithm targeting adult patients presenting to the emergency department with chest pain and acute myocardial infarction equivalent symptoms.

About 9,000 adult patients will be enrolled at 20 emergency medical centers in Korea. Artificial intelligence algorithms are manufactured by Medical AI Co., Ltd. It is an advanced version based on the model developed and published in 2020. It had the diagnostic performance of area under the receiver operating curve 0.901 and 0.951 for acute myocardial infarction and ST-segment elevation myocardial infarction, respectively. The primary endpoint is a diagnosis of acute myocardial infarction on the day of the emergency center visit, and the secondary endpoint is a 30-day major adverse cardiac event. From March 2022, patient registration will begin at centers that have been approved by the Institutional Review Board.

This is the first prospective multicenter emergency department validation study for a 12-lead electrocardiogram artificial intelligence algorithm to diagnose acute myocardial infarction. This study will give insight into the direction of future development by verifying whether the deep learning algorithm works well for patients visiting the real-world adult emergency medical center.

Detailed Description

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Conditions

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Myocardial Infarction or Chest Pain

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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Group 1

Patients with chest pain or who are clinically suspected as acute myocardial infarction with equivalent symptoms.

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

* Adults over 18 years of age with suspected chest pain and acute myocardial infarction
* The onset or worsening of the symptom occurs within 24 hours

Exclusion Criteria

* Out-of-hospital cardiac arrest (OHCA): patients with sustained (\>20 minutes) return-of-spontaneous-circulation are not excluded
* Patients in whom acute myocardial infarction can be clearly excluded, such as pneumothorax and traumatic chest pain
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Medical AI Co., Ltd

UNKNOWN

Sponsor Role collaborator

CHA University

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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KS Kim, MD, PhD

Role: PRINCIPAL_INVESTIGATOR

CHA University School of Medicine

Locations

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CHA Bundang Medical Center

Seongnam, , South Korea

Site Status

Countries

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South Korea

References

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Shin TG, Lee Y, Kim K, Lee MS, Kwon JM; ROMIAE study group. ROMIAE (Rule-Out Acute Myocardial Infarction Using Artificial Intelligence Electrocardiogram Analysis) trial study protocol: a prospective multicenter observational study for validation of a deep learning-based 12-lead electrocardiogram analysis model for detecting acute myocardial infarction in patients visiting the emergency department. Clin Exp Emerg Med. 2023 Dec;10(4):438-445. doi: 10.15441/ceem.22.360. Epub 2023 Nov 28.

Reference Type DERIVED
PMID: 38012820 (View on PubMed)

Other Identifiers

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MAI-CRP-B0000

Identifier Type: -

Identifier Source: org_study_id

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