Prediction of opioid-related outcomes in a medicaid surgical population: Evidence to guide postoperative opiate therapy and monitoring.

Prediction of opioid-related outcomes in a medicaid surgical population: Evidence to guide postoperative opiate therapy and monitoring.

<h4>Background</h4>Treatment of surgical pain is a common reason for opioid prescriptions. Being able to predict which patients are at risk for opioid abuse, dependence, and overdose (opioid-related adverse outcomes [OR-AE]) could help physicians make safer prescription decisions. We aim...

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Bibliographic Details
Main Authors: Oualid El Hajouji, Ran S Sun, Alban Zammit, Keith Humphreys, Steven M Asch, Ian Carroll, Catherine M Curtin, Tina Hernandez-Boussard
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-08-01
Series:PLoS Computational Biology
Online Access:https://doi.org/10.1371/journal.pcbi.1011376

Internet

https://doi.org/10.1371/journal.pcbi.1011376

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