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

U.S., June 2 -- ClinicalTrials.gov registry received information related to the study (NCT07618416) titled 'Machine Learning Model Based on Baroreflex Sensitivity for Predicting Post-Induction Hypotension in Elderly Patients' on May 25.

Brief 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.

Study Start Date: June 01

Study Type: OBSERVATIONAL

Condition: Post Induction Hypotension

Recruitment Status: RECRUITING

Sponsor: Peking Union Medical College Hospit...