Clinical trial Recruiting at 1 site Observational Ages 65 and up

Predicting Post-Induction Hypotension in Elderly Patients Using Baroreflex Sensitivity and Machine Learning

Official title: Development of a Baroreflex Sensitivity-Based Multifactorial Machine Learning Model for Predicting Post-Induction Hypotension in Elderly Patients

Run by Peking Union Medical College Hospital · NCT07618416 · Data updated 2026-11-12

Researchers are testing a machine learning approach that uses baroreflex sensitivity and other preoperative data to predict the risk of post-induction hypotension in people over 65 undergoing elective non-cardiac surgery.

Quick facts

Study typeObservational
Ages65 Years and up
SexAll
Enrollment500 (estimated)
SponsorPeking Union Medical College Hospital
Academic / other
Locations1 site (Beijing, China)
StatusRecruiting
StartedJune 1, 2026
Main results expectedSeptember 30, 2027
Study endsDecember 31, 2027
Registry record updatedJune 1, 2026
Trial IDNCT07618416 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Adults over 65 scheduled for elective non-cardiac surgery under general anesthesia with ASA I–III.

Probably not a fit

Patients with severe peripheral vascular disease, secondary hypertension, tremor-related recording issues, inability to measure upper limb blood pressure, pre-existing cardiac arrhythmias affecting BRS, or significant cognitive/psychiatric impairment may derive less or no benefit.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This prospective, single-center cohort study will combine preoperative dynamic baroreflex sensitivity metrics—measured with continuous non-invasive arterial pressure—and static clinical features to build a predictive model for post-induction hypotension in elderly patients. Multiple algorithms, including Logistic Regression, Random Forest, gradient boosting methods, XGBoost, LightGBM, and LSTM, will be explored and validated with cross-validation. The study aims to improve individualized risk stratification to support intraoperative management under general anesthesia. Enrollment targets 500 participants aged over 65 with ASA I–III undergoing elective non-cardiac surgery. Data will integrate preoperative autonomic indices, frailty assessments, intraoperative events, and 30-day postoperative outcomes.

Why it matters

Potential benefit: If successful, the model could help clinicians anticipate PIH risk and tailor anesthesia management to reduce hypotension-related complications.

How similar studies have gone: Similar approaches using dynamic autonomic measures have shown promise, but applying preoperative baroreflex sensitivity within ML pipelines for PIH prediction is relatively novel.

Who can join: the full rules

Show full inclusion / exclusion criteria
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.

Where it's running

  • Peking Union Medical College Hospital
    Beijing, China, China
    Recruiting

Study contacts

Similar studies

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How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.