Relevance of Artificial Intelligence-Assisted Echocardiography for Left Ventricular Ejection Fraction Assessment in Geriatric Patients (REFERENCE-AI)
Heart failure (HF) is the leading cause of hospitalization among adults aged 80 years and older and represents a major diagnostic challenge in geriatric medicine due to frequently atypical clinical presentations and the presence of multiple comorbidities. Although transthoracic echocardiography (TTE) with measurement of left ventricular ejection fraction (LVEF) remains the gold standard for cardiac functional assessment, access to echocardiography is often limited in geriatric wards.
Recent advances in artificial intelligence (AI) have enabled the development of portable ultrasound devices and automated image analysis software capable of providing reliable and reproducible LVEF measurements. AI-assisted automated LVEF assessment (AutoEF-AI) may therefore represent a valuable alternative to conventional echocardiography for the cardiac evaluation of older patients with heart failure.
調査の概要
詳細な説明
Prospective, single-center interventional study comparing two methods of left ventricular ejection fraction measurement in patients aged 75 years and older hospitalized for acute heart failure.Each hemodynamically stable participant will undergo two echocardiographic examinations performed within 24 hours:
- Standard Echocardiography (Reference Method)
- AI-assisted automated LVEF assessment (AutoEF-AI)
研究の種類
入学 (推定)
段階
- 適用できない
連絡先と場所
研究連絡先
- 名前：Isabelle DUFOUR
- 電話番号：+33 (0) 185781011
- メール：isabelle.dufour@gerondif.org
研究連絡先のバックアップ
- 名前：Prisca LUCAS, PhD MPH
- 電話番号：+33 (0)185737323
- メール：prisca.lucas@gerondif.org
研究場所
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Paris、フランス、75013
- 募集
- Broca Hospital
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コンタクト：
- Olivier HANON, MD PHD
- 電話番号：01 44 08 33 81
- メール：olivier.hanon@aphp.fr
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参加基準
適格基準
就学可能な年齢
- 高齢者
健康ボランティアの受け入れ
説明
Inclusion Criteria:
- Age ≥75 years.
- Hospitalization in a geriatric unit for acute heart failure according to the 2021 ESC diagnostic criteria.
- Hemodynamic stability at the time of echocardiographic examination.
- Ability to understand study information, provide written informed consent, and willingness to participate.
- Affiliation with, or beneficiary of, a health insurance/social security scheme.
Exclusion Criteria:
- Hemodynamic instability preventing echocardiographic assessment.
- Contraindication to transthoracic echocardiography.
- Patients under legal protection (guardianship, curatorship, or judicial protection measures) or unable to provide informed consent.
- Refusal to participate in the study.
研究計画
研究はどのように設計されていますか？
デザインの詳細
- 主な目的：診断
- 割り当て：非ランダム化
- 介入モデル：クロスオーバー割り当て
- マスキング：独身
武器と介入
参加者グループ / アーム |
介入・治療 |
|---|---|
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他の：Standard Echocardiography (Reference method)
The standard echocardiography will be performed by a cardiologist as part of routine clinical care.
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The standard echocardiography will be performed by an expert cardiologist as part of routine clinical care and will serve as the gold standard
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実験的：AutoEF-AI Assessment
AI-assisted automated LVEF assessment
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Performed by a geriatrician who has completed a one-day practical training session and combines:
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この研究は何を測定していますか？
主要な結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
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Agreement between LVEF measured using AutoEF-AI and LVEF measured using standard echocardiography.
時間枠：At baseline
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Agreement will be assessed using:
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At baseline
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二次結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
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Diagnostic performance of AutoEF-AI for the detection of LVEF <50%, including sensitivity, specificity, positive predictive value, negative predictive value, and overall accuracy.
時間枠：At baseline
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Calculation of the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and overall accuracy of AutoEF-AI for identifying left ventricular ejection fraction (LVEF) below 50%, compared with the standard reference method.
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At baseline
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Analysis of factors associated with agreement between the two methods
時間枠：At baseline
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Multiple linear regression model will be used to identify clinical and technical variables (age, sex, cardiovascular history, presence of a pacemaker, cardiac arrhythmias, image quality, comorbidities, etc.) associated with a significant discrepancy between LVEF measurements obtained using AutoEF-AI and standard echocardiography.
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At baseline
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Feasibility of AutoEF-AI use by a geriatrician after a short training program
時間枠：At baseline
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At baseline
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協力者と研究者
スポンサー
捜査官
- 主任研究者：Olivier HANON, MD PhD、Geriatric Department, Broca hospital
研究記録日
主要日程の研究
研究開始 (実際)
一次修了 (推定)
研究の完了 (推定)
試験登録日
最初に提出
QC基準を満たした最初の提出物
最初の投稿 (実際)
学習記録の更新
投稿された最後の更新 (実際)
QC基準を満たした最後の更新が送信されました
最終確認日
詳しくは
この情報は、Web サイト clinicaltrials.gov から変更なしで直接取得したものです。研究の詳細を変更、削除、または更新するリクエストがある場合は、register@clinicaltrials.gov。 までご連絡ください。 clinicaltrials.gov に変更が加えられるとすぐに、ウェブサイトでも自動的に更新されます。