Classifying High-Risk Patients for Persistent Opioid Use After Major Spine Surgery: A Machine-Learning Approach.

Journal: Anesthesia and analgesia
PMID:

Abstract

BACKGROUND: Persistent opioid use is a common occurrence after surgery and prolonged exposure to opioids may result in escalation and dependence. The objective of this study was to develop machine-learning-based predictive models for persistent opioid use after major spine surgery.

Authors

  • Sierra Simpson
    From the Division of Perioperative Informatics, Department of Anesthesiology, University of California, San Diego, La Jolla, California.
  • William Zhong
    From the Division of Perioperative Informatics, Department of Anesthesiology, University of California, San Diego, La Jolla, California.
  • Soraya Mehdipour
    From the Division of Perioperative Informatics, Department of Anesthesiology, University of California, San Diego, La Jolla, California.
  • Michael Armaneous
    Department of Anesthesiology, Riverside University Health System, Moreno Valley, California.
  • Varshini Sathish
    From the Division of Perioperative Informatics, Department of Anesthesiology, University of California, San Diego, La Jolla, California.
  • Natalie Walker
    National Institute for Health Innovation, University of Auckland, Auckland, New Zealand.
  • Engy T Said
    Division of Acute Pain, Department of Anesthesiology, University of California, 9400 Campus Point Dr, San Diego, La Jolla, CA, 92037, USA.
  • Rodney A Gabriel
    Department of Medicine, Division of Biomedical Informatics, University of California, San Diego, La Jolla, CA, USA.