- ICH GCP
- 미국 임상 시험 레지스트리
- 임상시험 NCT07774689
AI-ECG for Preoperative Cardiovascular Risk Stratification Before General Surgery
Utilization of AI-ECG for Preoperative Cardiovascular Risk Stratification in General Surgery: A Randomized Controlled Trial
This randomized controlled trial evaluates whether an artificial intelligence-enhanced electrocardiography (AI-ECG)-based strategy for preoperative cardiovascular risk stratification is noninferior to usual care in patients undergoing elective general surgery. Eligible patients are randomly assigned to either an AI-ECG-guided preoperative assessment strategy or usual preoperative care.
The primary outcome is the incidence of major adverse cardiovascular events (MACE) within 30 days after surgery, defined as a composite of all-cause death, ventricular fibrillation/tachycardia or cardiac arrest, non-fatal myocardial infarction, unplanned revascularization (PCI or CABG), mechanical ventilation for ≥3 days, and acute heart failure requiring intravenous diuretics.
Secondary outcomes include the rate of preoperative cardiac imaging and functional testing (echocardiography, coronary CT, SPECT, stress test), the rate of preoperative cardiology consultation, length of hospital stay, direct medical costs, and the time required for preoperative evaluation. The study aims to determine whether AI-ECG can safely guide preoperative cardiovascular evaluation while reducing unnecessary testing, resource use, and cost.
연구 개요
상태
연구 유형
등록 (추정된)
단계
- 해당 없음
연락처 및 위치
연구 연락처
- 이름: Ji Hyun Lee, MD
- 전화번호: 82-31-787-7045
- 이메일: jihyunlee310@snubh.org
연구 장소
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Gyeonggido
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Seongnam-si, Gyeonggido, 대한민국, 13620
- Seoul National University Bundang Hospital
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연락하다:
- Ji Hyun Lee, MD
- 전화번호: 82-31-787-7045
- 이메일: jihyunlee310@snubh.org
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참여기준
자격 기준
공부할 수 있는 나이
- 성인
- 고령자
건강한 자원 봉사자를 받아들입니다
설명
Inclusion Criteria:
- Adults aged 20 years or older
- Patients scheduled for elective (non-emergent) general surgery
- Willing and able to provide voluntary written informed consent
Exclusion Criteria:
- Emergency surgery
- Surgery under local anesthesia
공부 계획
연구는 어떻게 설계됩니까?
디자인 세부사항
- 주 목적: 건강 서비스 연구
- 할당: 무작위
- 중재 모델: 병렬 할당
- 마스킹: 없음(오픈 라벨)
무기와 개입
참가자 그룹 / 팔 |
개입 / 치료 |
|---|---|
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실험적: AI-ECG-guided preoperative strategy
Patients undergo preoperative cardiovascular risk stratification guided by the output of the AI-ECG device (ECG Buddy).
Further preoperative cardiovascular evaluation and cardiology consultation are directed according to the AI-ECG-based assessment.
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A standard 12-lead ECG is analyzed by an AI-enhanced ECG algorithm (ECG Buddy) to stratify preoperative cardiovascular risk.
Designated AI-ECG biomarkers are used as decision thresholds to guide subsequent preoperative cardiovascular evaluation and cardiology consultation.
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간섭 없음: Usual care
Patients receive usual preoperative care for cardiovascular evaluation according to standard institutional practice, without use of the AI-ECG-based strategy.
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연구는 무엇을 측정합니까?
주요 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
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Incidence of major adverse cardiovascular events (MACE) within 30 days after surgery
기간: Within 30 days after surgery
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Composite of all-cause death, ventricular fibrillation/tachycardia or cardiac arrest, non-fatal myocardial infarction, unplanned revascularization (PCI or CABG), mechanical ventilation for ≥3 days, and acute heart failure requiring intravenous diuretics.
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Within 30 days after surgery
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2차 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
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Rate of preoperative cardiac imaging and functional testing
기간: From randomization to surgery, up to 24 weeks
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Proportion of patients undergoing preoperative echocardiography, coronary CT, SPECT, or stress testing.
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From randomization to surgery, up to 24 weeks
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Rate of preoperative cardiology consultation
기간: From randomization to surgery, up to 24 weeks
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From randomization to surgery, up to 24 weeks
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Length of hospital stay
기간: Through hospital discharge (up to 30 days)
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Through hospital discharge (up to 30 days)
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Direct medical costs
기간: Within 30 days after surgery
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Within 30 days after surgery
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Time required for preoperative evaluation
기간: From randomization to surgery, up to 24 weeks
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From randomization to surgery, up to 24 weeks
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공동 작업자 및 조사자
수사관
- 수석 연구원: Ji Hyun Lee, MD, Seul National University Bundang Hospital
간행물 및 유용한 링크
일반 간행물
- Cho Y, Yoon M, Kim J, Lee JH, Oh IY, Lee CJ, Kang SM, Choi DJ. Artificial Intelligence-Based Electrocardiographic Biomarker for Outcome Prediction in Patients With Acute Heart Failure: Prospective Cohort Study. J Med Internet Res. 2024 Jul 3;26:e52139. doi: 10.2196/52139.
- Siontis KC, Noseworthy PA, Attia ZI, Friedman PA. Artificial intelligence-enhanced electrocardiography in cardiovascular disease management. Nat Rev Cardiol. 2021 Jul;18(7):465-478. doi: 10.1038/s41569-020-00503-2. Epub 2021 Feb 1.
- Thompson A, Fleischmann KE, Smilowitz NR, de Las Fuentes L, Mukherjee D, Aggarwal NR, Ahmad FS, Allen RB, Altin SE, Auerbach A, Berger JS, Chow B, Dakik HA, Eisenstein EL, Gerhard-Herman M, Ghadimi K, Kachulis B, Leclerc J, Lee CS, Macaulay TE, Mates G, Merli GJ, Parwani P, Poole JE, Rich MW, Ruetzler K, Stain SC, Sweitzer B, Talbot AW, Vallabhajosyula S, Whittle J, Williams KA Sr; Peer Review Committee Members. 2024 AHA/ACC/ACS/ASNC/HRS/SCA/SCCT/SCMR/SVM Guideline for Perioperative Cardiovascular Management for Noncardiac Surgery: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. Circulation. 2024 Nov 5;150(19):e351-e442. doi: 10.1161/CIR.0000000000001285. Epub 2024 Sep 24.
연구 기록 날짜
연구 주요 날짜
연구 시작 (추정된)
기본 완료 (추정된)
연구 완료 (추정된)
연구 등록 날짜
최초 제출
QC 기준을 충족하는 최초 제출
처음 게시됨 (실제)
연구 기록 업데이트
마지막 업데이트 게시됨 (실제)
QC 기준을 충족하는 마지막 업데이트 제출
마지막으로 확인됨
추가 정보
이 연구와 관련된 용어
추가 관련 MeSH 약관
기타 연구 ID 번호
- B-2603-1033-001
개별 참가자 데이터(IPD) 계획
개별 참가자 데이터(IPD)를 공유할 계획입니까?
IPD 계획 설명
약물 및 장치 정보, 연구 문서
미국 FDA 규제 의약품 연구
미국 FDA 규제 기기 제품 연구
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