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Machine Learning Model Based on Baroreflex Sensitivity for Predicting Post-Induction Hypotension in Elderly Patients
Sponsor: Peking Union Medical College Hospital
Summary
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.
Official title: Development of a Baroreflex Sensitivity-Based Multifactorial Machine Learning Model for Predicting Post-Induction Hypotension in Elderly Patients
Key Details
Gender
All
Age Range
65 Years - Any
Study Type
OBSERVATIONAL
Enrollment
500
Start Date
2026-06-01
Completion Date
2027-12-31
Last Updated
2026-06-01
Healthy Volunteers
No
Conditions
Locations (1)
Peking Union Medical College Hospital
Beijing, China, China