Open AccessA Predictive Model for Determining Patients Not Requiring Prolonged Hospital Length of Stay After Elective Primary Total Hip Arthroplasty
Author(s) -
Rodney A. Gabriel,
Beamy S. Sharma,
Christi. Doan,
Xiaoqian Jiang,
Ulrich Schmidt,
Florin Vaida
Publication year - 2019
Publication title -
anesthesia and analgesia/anesthesia and analgesia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.404
H-Index - 201
eISSN - 1526-7598
pISSN - 0003-2999
DOI - 10.1213/ane.0000000000003798
Subject(s) - medicine , receiver operating characteristic , logistic regression , goodness of fit , confidence interval , lasso (programming language) , retrospective cohort study , arthroplasty , brier score , surgery , statistics , mathematics , world wide web , computer science
Hospital length of stay (LOS) is an important quality metric for total hip arthroplasty. Accurately predicting LOS is important to expectantly manage bed utilization and other hospital resources. We aimed to develop a predictive model for determining patients who do not require prolonged LOS.