Machine Learning Model Based on Baroreflex Sensitivity for Predicting Post-Induction Hypotension in Elderly Patients
Development of a Baroreflex Sensitivity-Based Multifactorial Machine Learning Model for Predicting Post-Induction Hypotension in Elderly Patients
調査の概要
状態
条件
詳細な説明
Aging significantly alters cardiovascular autonomic function, characterized by elevated sympathetic and decreased parasympathetic tone, rendering elderly patients highly vulnerable to post-induction hypotension (PIH). While existing machine learning models heavily rely on static data (e.g., baseline blood pressure, demographics, medication history), they lack real-time dynamic regulatory inputs, limiting their predictive performance in individualized care.
This single-center, prospective cohort study aims to bridge this gap by introducing preoperative BRS parameters-calculated via the continuous non-invasive arterial pressure (CNAP) method-into machine learning frameworks. A total of 500 patients aged over 65 years scheduled for elective non-cardiac surgery will be enrolled. Preoperative data, including autonomic indices, frailty assessments, and static clinical factors, will be mapped alongside intraoperative events and 30-day postoperative complications. Multiple machine learning algorithms (Logistic Regression, Random Forest, GBDT, XGBoost, LightGBM, and LSTM) will be leveraged and optimized using cross-validation to construct a robust clinical decision-support pipeline.
研究の種類
入学 (推定)
連絡先と場所
研究連絡先
- 名前：Quexuan Cui, Dr.
- 電話番号：+8613520921711
- メール：Cuiqx_garfield@126.com
研究場所
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China
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Beijing、China、中国、100730
- 募集
- Peking Union Medical College Hospital
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コンタクト：
- Quexuan Cui
- 電話番号：13520921711
- メール：Cuiqx_garfield@126.com
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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
サンプリング方法
調査対象母集団
説明
Inclusion Criteria:
- Aged over 65 years;
- Scheduled for elective non-cardiac surgery;
- American Society of Anesthesiologists (ASA) physical status classification I-III;
- Planned for general anesthesia with endotracheal intubation;
- Patient and legal guardians are capable of understanding the study protocol and willing to provide written informed consent.
Exclusion Criteria:
- Severe peripheral vascular diseases;
- Secondary hypertension;
- Presence of physical tremors (e.g., Parkinson's disease) preventing stable recording;
- Inability to accurately measure upper limb blood pressure;
- Pre-existing cardiac arrhythmias (e.g., atrial fibrillation) that render BRS;
- Psychiatric disorders or cognitive impairments hindering basic cooperation.
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
コホートと介入
グループ/コホート |
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Elderly Surgical Patients
Patients aged over 65 years who are undergoing elective non-cardiac surgery under general anesthesia with endotracheal intubation.
All patients will receive continuous non-invasive hemodynamic monitoring prior to anesthesia induction to calculate baseline BRS parameters.
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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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Incidence of Post-Induction Hypotension (PIH)
時間枠：From immediately after anesthesia induction up to 20 minutes post-induction or before surgical incision.
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Defined as a systolic blood pressure (SBP) <90 mmHg , a mean arterial pressure (MAP) <65 mmHg, or a decrease in MAP exceeding 30% from baseline measurements.
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From immediately after anesthesia induction up to 20 minutes post-induction or before surgical incision.
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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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1. Early Intraoperative Hypotension Rate
時間枠：From surgical incision to the end of the operation.
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Defined as a systolic blood pressure (SBP) <90 mmHg , a mean arterial pressure (MAP) <65 mmHg, or a decrease in MAP exceeding 30% from baseline measurements.
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From surgical incision to the end of the operation.
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Postoperative Complication
時間枠：Up to 30 days post-surgery
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Up to 30 days post-surgery
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協力者と研究者
研究記録日
主要日程の研究
研究開始 (推定)
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。