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Postoperative opioid prescribing patients with diabetes: Opportunities for personalized pain management
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. This retrospective observational study included a cohort of postoperative patients...
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Published in: | PloS one 2023-08, Vol.18 (8), p.e0287697 |
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description | 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.
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).
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 |
doi_str_mv | 10.1371/journal.pone.0287697 |
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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).
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).
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.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0287697</identifier><identifier>PMID: 37616195</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Addictions ; Analgesics, Opioid - adverse effects ; Anesthesia ; Biology and Life Sciences ; Body mass index ; Care and treatment ; Diabetes ; Diabetes mellitus ; Diabetes Mellitus - drug therapy ; Diabetes therapy ; Diabetics ; Diagnosis ; Dosage and administration ; Drug abuse ; Electronic health records ; Health risks ; Hispanic people ; Humans ; Hypotheses ; Medical diagnosis ; Medical research ; Medicine and Health Sciences ; Medicine, Experimental ; Morphine ; Narcotics ; Observational studies ; Opiate Alkaloids ; Opioid-Related Disorders ; Opioids ; Pain ; Pain Management ; Pain, Postoperative - drug therapy ; Patient outcomes ; Patients ; Practice Patterns, Physicians ; Precision medicine ; Prescription writing ; Prescriptions ; Software ; Statistical analysis ; Surgery ; Surgical outcomes ; Variables</subject><ispartof>PloS one, 2023-08, Vol.18 (8), p.e0287697</ispartof><rights>Copyright: © 2023 Zammit et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2023 Public Library of Science</rights><rights>2023 Zammit et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2023 Zammit et al 2023 Zammit et al</rights><rights>2023 Zammit et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c693t-4ab6938834b6c5a113eb15c94976aae27c8aa0e0ec45ff6524d66874d9dd8bf13</citedby><cites>FETCH-LOGICAL-c693t-4ab6938834b6c5a113eb15c94976aae27c8aa0e0ec45ff6524d66874d9dd8bf13</cites><orcidid>0000-0002-2524-1113 ; 0000-0002-9739-3968 ; 0000-0001-6553-3455</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2856784443/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2856784443?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,25731,27901,27902,36989,36990,44566,53766,53768,74869</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37616195$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Suppiah, Vijayaprakash</contributor><creatorcontrib>Zammit, Alban</creatorcontrib><creatorcontrib>Coquet, Jean</creatorcontrib><creatorcontrib>Hah, Jennifer</creatorcontrib><creatorcontrib>El Hajouji, Oualid</creatorcontrib><creatorcontrib>Asch, Steven M</creatorcontrib><creatorcontrib>Carroll, Ian</creatorcontrib><creatorcontrib>Curtin, Catherine M</creatorcontrib><creatorcontrib>Hernandez-Boussard, Tina</creatorcontrib><title>Postoperative opioid prescribing patients with diabetes: Opportunities for personalized pain management</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>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.
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).
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).
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.</description><subject>Addictions</subject><subject>Analgesics, Opioid - adverse effects</subject><subject>Anesthesia</subject><subject>Biology and Life Sciences</subject><subject>Body mass index</subject><subject>Care and treatment</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes Mellitus - drug therapy</subject><subject>Diabetes therapy</subject><subject>Diabetics</subject><subject>Diagnosis</subject><subject>Dosage and administration</subject><subject>Drug abuse</subject><subject>Electronic health records</subject><subject>Health risks</subject><subject>Hispanic people</subject><subject>Humans</subject><subject>Hypotheses</subject><subject>Medical diagnosis</subject><subject>Medical research</subject><subject>Medicine and Health Sciences</subject><subject>Medicine, Experimental</subject><subject>Morphine</subject><subject>Narcotics</subject><subject>Observational studies</subject><subject>Opiate Alkaloids</subject><subject>Opioid-Related Disorders</subject><subject>Opioids</subject><subject>Pain</subject><subject>Pain Management</subject><subject>Pain, Postoperative - drug therapy</subject><subject>Patient outcomes</subject><subject>Patients</subject><subject>Practice Patterns, Physicians</subject><subject>Precision medicine</subject><subject>Prescription writing</subject><subject>Prescriptions</subject><subject>Software</subject><subject>Statistical analysis</subject><subject>Surgery</subject><subject>Surgical outcomes</subject><subject>Variables</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNk9tu1DAQhiMEoqXwBggiISG42MWn2Ak3qKo4rFRpEadby7EnWVfZOLWdcnh6vN202qBeIF_Y8nzz2_Pbk2VPMVpiKvCbCzf6XnXLwfWwRKQUvBL3smNcUbLgBNH7B-uj7FEIFwgVtOT8YXZEBcccV8Vx1n52IboBvIr2CnI3WGdNPngI2tva9m0-pAj0MeQ_bdzkxqoaIoS3-XoYnI9jb1M45I3zeVIJLl3J_oEkoWyfb1WvWtim9MfZg0Z1AZ5M80n2_cP7b2efFufrj6uz0_OF5hWNC6bqNJclZTXXhcKYQo0LXbFKcKWACF0qhQCBZkXT8IIww3kpmKmMKesG05Ps-V536FyQk0dBkrLgomSM0USs9oRx6kIO3m6V_y2dsvJ6w_lWKh-t7kASBKpKRhkgDdOEKmSIEY3gJalrVKOk9W46bay3YHQq1KtuJjqP9HYjW3clMWKsIpgnhVeTgneXI4QotzZo6DrVgxuvLy7KAguxQ1_8g95d3kS1KlVg-8alg_VOVJ6K9BcKhMjOpuUdVBoGtlanH9XYtD9LeD1LSEyEX7FVYwhy9fXL_7PrH3P25QG7AdXFTXDdGK3rwxxke1B7F4KH5tZljOSuIW7ckLuGkFNDpLRnhy90m3TTAfQvdM0HoA</recordid><startdate>20230824</startdate><enddate>20230824</enddate><creator>Zammit, Alban</creator><creator>Coquet, Jean</creator><creator>Hah, Jennifer</creator><creator>El Hajouji, Oualid</creator><creator>Asch, Steven M</creator><creator>Carroll, Ian</creator><creator>Curtin, Catherine M</creator><creator>Hernandez-Boussard, Tina</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-2524-1113</orcidid><orcidid>https://orcid.org/0000-0002-9739-3968</orcidid><orcidid>https://orcid.org/0000-0001-6553-3455</orcidid></search><sort><creationdate>20230824</creationdate><title>Postoperative opioid prescribing patients with diabetes: Opportunities for personalized pain management</title><author>Zammit, Alban ; Coquet, Jean ; Hah, Jennifer ; El Hajouji, Oualid ; Asch, Steven M ; Carroll, Ian ; Curtin, Catherine M ; Hernandez-Boussard, Tina</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c693t-4ab6938834b6c5a113eb15c94976aae27c8aa0e0ec45ff6524d66874d9dd8bf13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Addictions</topic><topic>Analgesics, Opioid - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zammit, Alban</au><au>Coquet, Jean</au><au>Hah, Jennifer</au><au>El Hajouji, Oualid</au><au>Asch, Steven M</au><au>Carroll, Ian</au><au>Curtin, Catherine M</au><au>Hernandez-Boussard, Tina</au><au>Suppiah, Vijayaprakash</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Postoperative opioid prescribing patients with diabetes: Opportunities for personalized pain management</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2023-08-24</date><risdate>2023</risdate><volume>18</volume><issue>8</issue><spage>e0287697</spage><pages>e0287697-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>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.
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).
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).
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.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>37616195</pmid><doi>10.1371/journal.pone.0287697</doi><tpages>e0287697</tpages><orcidid>https://orcid.org/0000-0002-2524-1113</orcidid><orcidid>https://orcid.org/0000-0002-9739-3968</orcidid><orcidid>https://orcid.org/0000-0001-6553-3455</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Addictions Analgesics, Opioid - adverse effects Anesthesia Biology and Life Sciences Body mass index Care and treatment Diabetes Diabetes mellitus Diabetes Mellitus - drug therapy Diabetes therapy Diabetics Diagnosis Dosage and administration Drug abuse Electronic health records Health risks Hispanic people Humans Hypotheses Medical diagnosis Medical research Medicine and Health Sciences Medicine, Experimental Morphine Narcotics Observational studies Opiate Alkaloids Opioid-Related Disorders Opioids Pain Pain Management Pain, Postoperative - drug therapy Patient outcomes Patients Practice Patterns, Physicians Precision medicine Prescription writing Prescriptions Software Statistical analysis Surgery Surgical outcomes Variables |
title | Postoperative opioid prescribing patients with diabetes: Opportunities for personalized pain management |
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