The purpose of this study is to develop a high-performance machine learning model combining dynamic baroreflex sensitivity (BRS) metrics and multi-dimensional static clinical features to predict the risk of post-induction hypotension (PIH) in elderly patients undergoing elective non-cardiac surgery under general anesthesia.
Eligibility
Sex
ALL
Min age
65 Years
Max age
—
Healthy volunteers
No
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.
Primary outcome measure(s)
Incidence of Post-Induction Hypotension (PIH) — From immediately after anesthesia induction up to 20 minutes post-induction or before surgical incision. 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.
Trial sites (1)
Facility
City
Region
Status
Peking Union Medical College Hospital
Beijing
China
Recruiting
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This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
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