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
연구 개요
상태
정황
상세 설명
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.
연구 유형
등록 (추정된)
연락처 및 위치
연구 연락처
- 이름: Quexuan Cui, Dr.
- 전화번호: +8613520921711
- 이메일: Cuiqx_garfield@126.com
연구 장소
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China
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Beijing, China, 중국, 100730
- 모병
- Peking Union Medical College Hospital
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연락하다:
- Quexuan Cui
- 전화번호: 13520921711
- 이메일: Cuiqx_garfield@126.com
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참여기준
자격 기준
공부할 수 있는 나이
- 고령자
건강한 자원 봉사자를 받아들입니다
샘플링 방법
연구 인구
설명
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.
공부 계획
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디자인 세부사항
코호트 및 개입
그룹/코호트 |
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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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연구는 무엇을 측정합니까?
주요 결과 측정
결과 측정 |
측정값 설명 |
기간 |
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Incidence of Post-Induction Hypotension (PIH)
기간: 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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2차 결과 측정
결과 측정 |
측정값 설명 |
기간 |
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1. Early Intraoperative Hypotension Rate
기간: 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
기간: Up to 30 days post-surgery
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Up to 30 days post-surgery
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공동 작업자 및 조사자
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
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QC 기준을 충족하는 마지막 업데이트 제출
마지막으로 확인됨
추가 정보
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