Development and validation of machine-learning models for predicting the risk of hypertriglyceridemia in critically ill patients receiving propofol sedation using retrospective data: a protocol
Introduction Propofol is a widely used sedative-hypnotic agent for critically ill patients requiring invasive mechanical ventilation (IMV). Despite its clinical benefits, propofol is associated with increased risks of hypertriglyceridemia. Early identification of patients at risk for propofol-associ...
Saved in:
Main Authors: | Jiawen Deng, Hemang Yadav, Kiyan Heybati |
---|---|
Format: | Article |
Language: | English |
Published: |
BMJ Publishing Group
2025-01-01
|
Series: | BMJ Open |
Online Access: | https://bmjopen.bmj.com/content/15/1/e092594.full |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Manual Testicular Detorsion under Propofol Sedation
by: Martyn Harvey, et al.
Published: (2009-01-01) -
The Unmasking Effect: Propofol-Induced Brugada Pattern in a Critically Ill Patient
by: Esiemoghie Akhigbe, et al.
Published: (2022-01-01) -
Comparison of propofol-ketamine and propofol-fentanyl combinations for sedation in patients undergoing gastrointestinal endoscopy: a randomized clinical trial
by: Milena Vasconcelos Falcão, et al.
Published: (2025-01-01) -
Responsiveness Index versus the RASS-Based Method for Adjusting Sedation in Critically Ill Patients
by: Johanna E. Wennervirta, et al.
Published: (2021-01-01) -
Propofol-Based Sedation Does Not Increase Rate of Complication during Percutaneous Endoscopic Gastrostomy Procedure
by: Somchai Amornyotin, et al.
Published: (2011-01-01)