Condition: Post Induction Hypotension · Sponsor: Peking Union Medical College Hospital
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.
This description comes directly from the study's public registry record.
Quexuan Cui, Dr. · +8613520921711 · Cuiqx_garfield@126.com
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| Peking Union Medical College Hospital | Beijing, China, China | Recruiting |
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Source record: clinicaltrials.gov/study/NCT07618416