Machine Learning Model Based on Baroreflex Sensitivity for Predicting Post-Induction Hypotension in Elderly Patients

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.

NCT Number	NCT07618416
Lead Sponsor	Peking Union Medical College Hospital
Conditions	Post Induction Hypotension
Enrollment	500 participants
Start Date	2026-06-01
Primary Completion	2027-09-30 (estimated)
Study Completion	2027-12-31 (estimated)
Updated on ClinicalTrials.gov	2026-06-01