RecruitingNCT07618416

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

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

Sponsor

Peking Union Medical College Hospital

Enrollment

500 participants

Start Date

Jun 1, 2026

Study Type

OBSERVATIONAL

Conditions

Post-induction Hypotension

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.

Eligibility

Min Age: 65 Years

Plain Language Summary

Simplified for easier understanding

This clinical trial is studying a new treatment for people with post-induction hypotension. The study is currently recruiting participants at 1 location. People eligible for this study include aged 65 Years and older.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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