Machine learning identifies risk factors associated with long-term opioid use in fibromyalgia patients newly initiated on an opioid.

Journal: RMD open
PMID: 38772680

Abstract

OBJECTIVES: Fibromyalgia is frequently treated with opioids due to limited therapeutic options. Long-term opioid use is associated with several adverse outcomes. Identifying factors associated with long-term opioid use is the first step in developing targeted interventions. The aim of this study was to evaluate risk factors in fibromyalgia patients newly initiated on opioids using machine learning.

Authors

  • Carlos Raúl Ramírez Medina
    Centre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, The University of Manchester, Manchester, UK.
  • Mengyu Feng
    Centre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, The University of Manchester, Manchester, UK.
  • Yun-Ting Huang
    Centre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, The University of Manchester, Manchester, UK.
  • David A Jenkins
    Division of Informatics, Imaging and Data Science, The University of Manchester, Manchester, UK.
  • Meghna Jani
    Centre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, The University of Manchester, Manchester, UK meghna.jani@manchester.ac.uk.

Keywords

External Resources

Popular Topics
Recent Journals