Predicting Length of Stay After Thoracolumbar Trauma: A Single-Center, Retrospective Analysis.
Author
Kung, Justin ECamacho, Jael E
Bruckner, Jacob
Ye, Ivan B
Thomson, Alexandra E
Cavanaugh, Daniel
Koh, Eugene Y
Gelb, Daniel E
Sansur, Charles
Ludwig, Steven C
Date
2022-06Journal
International journal of spine surgeryPublisher
International Journal of Spine SurgeryType
Article
Metadata
Show full item recordAbstract
LOS was significantly associated with various preoperative (eg, Charlson Comorbidity Index, Glasgow Coma Scale [GCS], injury severity score), operative (eg, length of surgery, number of instrumented segments, surgical technique), and postoperative variables (eg, complications, discharge location). Multivariate analysis of preoperative variables identified 5 significant independent predictors that could predict LOS with strong correlation with observed LOS (ρ = 0.63). With all variables considered, multivariate analysis identified 8 variables (GCS, American Society of Anesthesiologists score, neurological status, polytrauma, packed red blood cell transfusion, number of unique postoperative complications, skin complications, and discharge facility) that could predict LOS with strong correlation (ρ = 0.80).Rights/Terms
This manuscript is generously published free of charge by ISASS, the International Society for the Advancement of Spine Surgery. Copyright © 2022 ISASS. To see more or order reprints or permissions, see http://ijssurgery.com.Identifier to cite or link to this item
http://hdl.handle.net/10713/19328ae974a485f413a2113503eed53cd6c53
10.14444/8242