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Postoperative opioid prescribing patients with diabetes: Opportunities for personalized pain management

BACKGROUND: Opioids are commonly prescribed for postoperative pain, but may lead to prolonged use and addiction. Diabetes impairs nerve function, complicates pain management, and makes opioid prescribing particularly challenging. METHODS: This retrospective observational study included a cohort of p...

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Autores principales: Zammit, Alban, Coquet, Jean, Hah, Jennifer, el Hajouji, Oualid, Asch, Steven M., Carroll, Ian, Curtin, Catherine M., Hernandez-Boussard, Tina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449216/
https://www.ncbi.nlm.nih.gov/pubmed/37616195
http://dx.doi.org/10.1371/journal.pone.0287697
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author Zammit, Alban
Coquet, Jean
Hah, Jennifer
el Hajouji, Oualid
Asch, Steven M.
Carroll, Ian
Curtin, Catherine M.
Hernandez-Boussard, Tina
author_facet Zammit, Alban
Coquet, Jean
Hah, Jennifer
el Hajouji, Oualid
Asch, Steven M.
Carroll, Ian
Curtin, Catherine M.
Hernandez-Boussard, Tina
author_sort Zammit, Alban
collection PubMed
description BACKGROUND: Opioids are commonly prescribed for postoperative pain, but may lead to prolonged use and addiction. Diabetes impairs nerve function, complicates pain management, and makes opioid prescribing particularly challenging. METHODS: This retrospective observational study included a cohort of postoperative patients from a multisite academic health system to assess the relationship between diabetes, pain, and prolonged opioid use (POU), 2008–2019. POU was defined as a new opioid prescription 3–6 months after discharge. The odds that a patient had POU was assessed using multivariate logistic regression controlling for patient factors (e.g., demographic and clinical factors, as well as prior pain and opiate use). FINDINGS: A total of 43,654 patients were included, 12.4% with diabetes. Patients with diabetes had higher preoperative pain scores (2.1 vs 1.9, p<0.001) and lower opioid naïve rates (58.7% vs 68.6%, p<0.001). Following surgery, patients with diabetes had higher rates of POU (17.7% vs 12.7%, p<0.001) despite receiving similar opioid prescriptions at discharge. Patients with Type I diabetes were more likely to have POU compared to other patients (Odds Ratio [OR]: 2.22; 95% Confidence Interval [CI]:1.69–2.90 and OR:1.44, CI: 1.33–1.56, respectively). INTERPRETATION: In conclusion, surgical patients with diabetes are at increased risk for POU even after controlling for likely covariates, yet they receive similar postoperative opiate therapy. The results suggest a more tailored approach to diabetic postoperative pain management is warranted.
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spelling pubmed-104492162023-08-25 Postoperative opioid prescribing patients with diabetes: Opportunities for personalized pain management Zammit, Alban Coquet, Jean Hah, Jennifer el Hajouji, Oualid Asch, Steven M. Carroll, Ian Curtin, Catherine M. Hernandez-Boussard, Tina PLoS One Research Article BACKGROUND: Opioids are commonly prescribed for postoperative pain, but may lead to prolonged use and addiction. Diabetes impairs nerve function, complicates pain management, and makes opioid prescribing particularly challenging. METHODS: This retrospective observational study included a cohort of postoperative patients from a multisite academic health system to assess the relationship between diabetes, pain, and prolonged opioid use (POU), 2008–2019. POU was defined as a new opioid prescription 3–6 months after discharge. The odds that a patient had POU was assessed using multivariate logistic regression controlling for patient factors (e.g., demographic and clinical factors, as well as prior pain and opiate use). FINDINGS: A total of 43,654 patients were included, 12.4% with diabetes. Patients with diabetes had higher preoperative pain scores (2.1 vs 1.9, p<0.001) and lower opioid naïve rates (58.7% vs 68.6%, p<0.001). Following surgery, patients with diabetes had higher rates of POU (17.7% vs 12.7%, p<0.001) despite receiving similar opioid prescriptions at discharge. Patients with Type I diabetes were more likely to have POU compared to other patients (Odds Ratio [OR]: 2.22; 95% Confidence Interval [CI]:1.69–2.90 and OR:1.44, CI: 1.33–1.56, respectively). INTERPRETATION: In conclusion, surgical patients with diabetes are at increased risk for POU even after controlling for likely covariates, yet they receive similar postoperative opiate therapy. The results suggest a more tailored approach to diabetic postoperative pain management is warranted. Public Library of Science 2023-08-24 /pmc/articles/PMC10449216/ /pubmed/37616195 http://dx.doi.org/10.1371/journal.pone.0287697 Text en © 2023 Zammit et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Zammit, Alban
Coquet, Jean
Hah, Jennifer
el Hajouji, Oualid
Asch, Steven M.
Carroll, Ian
Curtin, Catherine M.
Hernandez-Boussard, Tina
Postoperative opioid prescribing patients with diabetes: Opportunities for personalized pain management
title Postoperative opioid prescribing patients with diabetes: Opportunities for personalized pain management
title_full Postoperative opioid prescribing patients with diabetes: Opportunities for personalized pain management
title_fullStr Postoperative opioid prescribing patients with diabetes: Opportunities for personalized pain management
title_full_unstemmed Postoperative opioid prescribing patients with diabetes: Opportunities for personalized pain management
title_short Postoperative opioid prescribing patients with diabetes: Opportunities for personalized pain management
title_sort postoperative opioid prescribing patients with diabetes: opportunities for personalized pain management
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449216/
https://www.ncbi.nlm.nih.gov/pubmed/37616195
http://dx.doi.org/10.1371/journal.pone.0287697
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