Literature DB >> 28837531

Preoperative Opioid Use is a Predictor of Poor Return to Work in Workers' Compensation Patients After Lumbar Diskectomy.

Jeffrey A O'Donnell1, Joshua T Anderson2, Arnold R Haas3, Rick Percy3, Stephen T Woods3, Uri M Ahn4, Nicholas U Ahn5.   

Abstract

STUDY
DESIGN: A retrospective cohort.
OBJECTIVE: The aim of this study was to determine the impact of preoperative opioid use in workers' compensation (WC) patients undergoing lumbar diskectomy (LD). SUMMARY OF BACKGROUND DATA: The prevalence of back pain among opioid users approached 60%. Long-term opioid dependence in spine surgery patients is roughly 20%. Despite pervasive use, there is no evidence to support long-term opioid analgesic use for back pain.
METHODS: Ten thousand five hundred ninety-two patients received compensation from the Ohio Bureau of Workers' Compensation for a lumbar disc herniation between 2005 and 2012. Patients with spine comorbidities, smoking history, or multilevel surgery were excluded. Preoperatively, 566 patients had no opioid use, 126 had short-term opioid use (STO), 315 had moderate opioid use (MTO), and 279 had long-term opioid use (LTO). The primary outcome was whether subjects returned to work (RTW).
RESULTS: Seven hundred twelve (55.4%) patients met our RTW criteria. There was a significant difference in RTW rates among the no opioid (64.1%), MTO (52.7%), and LTO (36.9%) populations. Multivariate logistic regression analysis found several covariates to be independent negative predictors of RTW status: preoperative opioid use [P < 0.01; odds ratio (OR) = 0.54], time to surgery (P < 0.01; OR = 0.98 per month), legal representation (P < 0.01; OR = 0.57), and psychiatric comorbidity (P = 0.02; OR = 0.36). Patients in the LTO group had higher medical costs (P < 0.01), rates of psychiatric comorbidity (P < 0.01), incidence of failed back surgery syndrome (FBSS) (P < 0.01), and postoperative opioid use (P < 0.01) compared with the STO and no opioid groups.
CONCLUSION: Preoperative opioid use was determined to be a negative predictor of RTW rates after LD in WC patients. In addition, long-term preoperative opioid use was associated with higher medical costs, psychiatric illness, FBSS, and postoperative opioid use. Even a short or moderate course of preoperative opioids was associated with worse outcomes compared with no use. For WC patients undergoing LD, judicious use of preoperative opioid analgesics may improve clinical outcomes and reduce the opioid burden. LEVEL OF EVIDENCE: 3.

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Year:  2018        PMID: 28837531     DOI: 10.1097/BRS.0000000000002385

Source DB:  PubMed          Journal:  Spine (Phila Pa 1976)        ISSN: 0362-2436            Impact factor:   3.468


  7 in total

1.  Preoperative opioid use in patients undergoing shoulder surgery.

Authors:  Vidushan Nadarajah; Sean J Meredith; Julio J Jauregui; Michael P Smuda; Shaun Medina; Mohit N Gilotra; S Ashfaq Hasan; R Frank Henn
Journal:  Shoulder Elbow       Date:  2019-10-17

2.  Impact of Preoperative Opioid Use After Emergency General Surgery.

Authors:  Young Kim; Alexander R Cortez; Koffi Wima; Vikrom K Dhar; Krishna P Athota; Jason J Schrager; Timothy A Pritts; Michael J Edwards; Shimul A Shah
Journal:  J Gastrointest Surg       Date:  2018-01-16       Impact factor: 3.452

3.  Predictive Risk Factors Associated With Increased Opioid Use Among Patients Undergoing Elective Spine Surgery.

Authors:  Zachary Sanford; Andrew Broda; Haley Taylor; Justin Turcotte; Chad M Patton
Journal:  Int J Spine Surg       Date:  2020-04-30

4.  Effectiveness of and Factors Associated with Balloon Adhesiolysis in Patients with Lumbar Post-Laminectomy Syndrome: A Retrospective Study.

Authors:  Yul Oh; Dong Ah Shin; Dong Joon Kim; Woojong Cho; Taejun Na; Jeong-Gil Leem; Jin-Woo Shin; Doo-Hwan Kim; Kyung-Don Hahm; Seong-Soo Choi
Journal:  J Clin Med       Date:  2020-04-16       Impact factor: 4.241

5.  Effect of Spinal Cord Stimulation on Early Disability Pension in 198 Failed Back Surgery Syndrome Patients: Case-Control Study.

Authors:  Hanna Kaijankoski; Mette Nissen; Tiina-Mari Ikäheimo; Mikael von Und Zu Fraunberg; Olavi Airaksinen; Jukka Huttunen
Journal:  Neurosurgery       Date:  2019-06-01       Impact factor: 4.654

6.  Feasibility and Assessment of a Machine Learning-Based Predictive Model of Outcome After Lumbar Decompression Surgery.

Authors:  Arthur André; Bruno Peyrou; Alexandre Carpentier; Jean-Jacques Vignaux
Journal:  Global Spine J       Date:  2020-11-19

7.  The Influence of Preoperative Narcotic Consumption on Patient-Reported Outcomes of Lumbar Decompression.

Authors:  Conor P Lynch; Elliot D K Cha; Shruthi Mohan; Cara E Geoghegan; Caroline N Jadczak; Kern Singh
Journal:  Asian Spine J       Date:  2021-06-17
  7 in total

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