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    Predicting Length of Stay After Thoracolumbar Trauma: A Single-Center, Retrospective Analysis.

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    Author
    Kung, Justin E
    Camacho, Jael E
    Bruckner, Jacob
    Ye, Ivan B
    Thomson, Alexandra E
    Cavanaugh, Daniel
    Koh, Eugene Y
    Gelb, Daniel E
    Sansur, Charles
    Ludwig, Steven C
    Date
    2022-06
    Journal
    International journal of spine surgery
    Publisher
    International Journal of Spine Surgery
    Type
    Article
    
    Metadata
    Show full item record
    See at
    https://doi.org/10.14444/8242
    Abstract
    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.
    Keyword
    formula
    length of stay
    predictors
    spine trauma
    thoracolumbar
    trauma
    Identifier to cite or link to this item
    http://hdl.handle.net/10713/19328
    ae974a485f413a2113503eed53cd6c53
    10.14444/8242
    Scopus Count
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