Development of machine learning algorithms for prediction of sustained postoperative opioid prescriptions after total hip arthroplasty
AV Karhade, JH Schwab, HS Bedair - The Journal of arthroplasty, 2019 - Elsevier
Background Postoperative recovery after total hip arthroplasty (THA) can lead to the
development of prolonged opioid use but there are few tools for predicting this adverse …
development of prolonged opioid use but there are few tools for predicting this adverse …
Machine learning for prediction of sustained opioid prescription after anterior cervical discectomy and fusion
BACKGROUND CONTEXT The severity of the opioid epidemic has increased scrutiny of
opioid prescribing practices. Spine surgery is a high-risk episode for sustained …
opioid prescribing practices. Spine surgery is a high-risk episode for sustained …
Development of machine learning algorithms for prediction of prolonged opioid prescription after surgery for lumbar disc herniation
BACKGROUND CONTEXT Spine surgery has been identified as a risk factor for prolonged
postoperative opioid use. Preoperative prediction of opioid use could improve risk …
postoperative opioid use. Preoperative prediction of opioid use could improve risk …
[HTML][HTML] Chronic opioid therapy: a scoping literature review on evolving clinical and scientific definitions
Y Shen, H Bhagwandass, T Branchcomb, SA Galvez… - The Journal of …, 2021 - Elsevier
The management of chronic noncancer pain (CNCP) with chronic opioid therapy (COT) is
controversial. There is a lack of consensus on how COT is defined resulting in unclear …
controversial. There is a lack of consensus on how COT is defined resulting in unclear …
Development and validation of cervical prediction models for patient-reported outcomes at 1 year after cervical spine surgery for radiculopathy and myelopathy
Study Design. Retrospective analysis of prospectively collected registry data. Objective. To
develop and validate prediction models for 12-month patient-reported outcomes of disability …
develop and validate prediction models for 12-month patient-reported outcomes of disability …
A predictive-modeling based screening tool for prolonged opioid use after surgical management of low back and lower extremity pain
BACKGROUND CONTEXT Outpatient postoperative pain management in spine patients,
specifically involving the use of opioids, demonstrates significant variability. PURPOSE …
specifically involving the use of opioids, demonstrates significant variability. PURPOSE …
The impact of preoperative chronic opioid therapy in patients undergoing decompression laminectomy of the lumbar spine
Study Design. Retrospective review of electronic medical records (EMR). Objective. This
study aims to (1) characterize the pattern of opioid utilization in patients undergoing spine …
study aims to (1) characterize the pattern of opioid utilization in patients undergoing spine …
Duration and dosage of opioids after spine surgery: implications on outcomes at 1 year
Study Design. Longitudinal Cohort Study Objective. The aim of this study was to determine
whether duration of postoperative opioids is associated with long-term outcomes, and if …
whether duration of postoperative opioids is associated with long-term outcomes, and if …
Reductions in sustained prescription opioid use within the US between 2017 and 2021
AJ Schoenfeld, S Munigala, J Gong, RJ Schoenfeld… - Scientific Reports, 2024 - nature.com
Over the last decade, various efforts have been made to curtail the opioid crisis. The impact
of these efforts, since the onset of the COVID-19 pandemic, has not been well characterized …
of these efforts, since the onset of the COVID-19 pandemic, has not been well characterized …
Cohort profile: development and characteristics of a retrospective cohort of individuals dispensed prescription opioids for non-cancer pain in British Columbia, Canada
J Wilton, M Chong, Y Abdia, R Purssell, A MacInnes… - BMJ open, 2021 - bmjopen.bmj.com
Purpose Prescription opioids (POs) are widely prescribed for chronic non-cancer pain but
are associated with several risks and limited long-term benefit. Large, linked data sources …
are associated with several risks and limited long-term benefit. Large, linked data sources …