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- Title
How to mitigate confounding factors in observational studies.
- Authors
Sumie, Makoto; Yang, Alan; Hayes, Jason; Yamaura, Ken; Aoyama, Kazuyoshi
- Abstract
Moreover, the authors developed a mixed-effect multivariable logistic regression model, including fixed effects and random effects, as a sensitivity analysis that adjusts for attending anesthesiologists as a confounding factor in addition to the known risk factors. Multivariable logistic regression analysis can adjust for factors that affect both the exposure and the outcome, often known as confounding factors and compute the odds ratio of the outcome in association with the exposure, when the outcome is binary [[6]]. Keywords: Confounding factors; Emergency agitation; Observational study; Propofol EN Confounding factors Emergency agitation Observational study Propofol 663 665 3 10/04/23 20231001 NES 231001 Emergency agitation (EA) is one of the most challenging postoperative complications that involve mental excitement and reported incidence in 11-25% following pediatric general anesthesia [[1]-[3]]. Although EA and emergency delirium are sometimes used interchangeably in previous reports, EA is an emotional disturbance or mental excitement, including emergency delirium and cognitive dysfunction.
- Subjects
SCIENTIFIC observation; LOGISTIC regression analysis
- Publication
Journal of Anesthesia, 2023, Vol 37, Issue 5, p663
- ISSN
0913-8668
- Publication type
Article
- DOI
10.1007/s00540-023-03236-x