A Predictive Model for Determining Patients Not Requiring Prolonged Hospital Length of Stay After Elective Primary Total Hip Arthroplasty.

Journal: Anesthesia and analgesia
Published Date: Jul 1, 2019

Abstract

BACKGROUND: 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.

Authors

  • Rodney A Gabriel
    Department of Medicine, Division of Biomedical Informatics, University of California, San Diego, La Jolla, CA, USA.
  • Beamy S Sharma
    From the Department of Anesthesiology.
  • Christina N Doan
    From the Department of Anesthesiology.
  • Xiaoqian Jiang
    School of Biomedical Informatics, University of Texas Health, Science Center at Houston, Houston, TX, USA.
  • Ulrich H Schmidt
    From the Department of Anesthesiology.
  • Florin Vaida
    Division of Biostatistics and Bioinformatics, University of California, San Diego, La Jolla, California.

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