Machine Learning Model Based on Baroreflex Sensitivity for Predicting Post-Induction Hypotension in Elderly Patients
Recruiting
Observational Study
Post Induction Hypotension
No Placebo Group
Every participant receives an active treatment — no one gets a placebo.
No Study Drug
Researchers observe your health over time — no experimental treatment is given.
At a Glance
- Age
- 65 and older
- Sex
- Any
- Study type
- Observational
- Participants needed
- 500 (estimated)
- Sponsor
- Peking Union Medical College Hospital · Other
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About This Trial
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.
Trial Locations
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Eligibility 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 s…
Contacts