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Synapse
January 22, 20260 citations

Modeling Opioid Use Disorder in Hand Surgery Patients.

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GBGrace BowmanJBJulie C. BlackwoodKMKathryn J. Montovan

Key Points

  • This research aims to model the transition from opioid exposure to opioid use disorder (OUD) among patients undergoing hand surgery.
  • Developed a compartmental model for OUD progression
  • Used empirical patient data for parameterization
  • Analyzed the relationship between opioid prescriptions and addiction risk
  • Identified varying risks associated with different prescription quantities
  • Advanced understanding of how prescription patterns impact OUD development
  • Showed that certain prescription numbers correlate with higher addiction risks

Abstract

From 1999 to 2022, nearly 300,000 people died from overdoses involving prescription opioids. Commonly used for the management of acute post-surgical pain, prescription opioids remain a leading cause of opioid misuse and abuse. Among surgical populations, patients who undergo hand surgery have especially high rates of prolonged post-operative opioid use and opioid use disorder (OUD). We built a compartmental model describing the progression from opioid exposure to OUD in hand surgery patients and parameterized it using empirical patient data. Using this model, we investigated the functional relationship between the number of opioid prescriptions received and opioid abuse. We found that, depending on the response curve used to describe opioid addiction risk, different numbers of prescriptions pose higher risks than others, advancing our understanding of how prescription patterns influence OUD development.

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Cite This Study

Bowman et al. (2026) studied this question.

synapsesocial.com/papers/6971be10642b1836717e2af1https://doi.org/10.1093/imammb/dqag001
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