MARC details
| 000 -LEADER |
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| fixed length control field |
04330nam a22006497a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
231004s20232023 xxu||||| |||| 00| 0 eng d |
| 022 ## - INTERNATIONAL STANDARD SERIAL NUMBER |
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| International Standard Serial Number |
0032-1052 |
| 024 ## - OTHER STANDARD IDENTIFIER |
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| Standard number or code |
00006534-990000000-01561 [pii] |
| 024 ## - OTHER STANDARD IDENTIFIER |
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| Standard number or code |
10.1097/PRS.0000000000010297 [doi] |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
Ovid MEDLINE(R) |
| 099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC) |
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| PMID |
36780362 |
| 245 ## - TITLE STATEMENT |
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| Title |
Patient-Reported Data Augment Prediction Models of Persistent Opioid Use after Elective Upper Extremity Surgery. |
| 251 ## - Source |
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| Source |
Plastic & Reconstructive Surgery. 152(2):358e-366e, 2023 Aug 01. |
| 252 ## - Abbreviated Source |
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| Abbreviated source |
Plast Reconstr Surg. 152(2):358e-366e, 2023 Aug 01. |
| 253 ## - Journal Name |
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| Journal name |
Plastic and reconstructive surgery |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Year |
2023 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Manufacturer |
FY2024 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Publication date |
2023 Aug 01 |
| 265 ## - SOURCE FOR ACQUISITION/SUBSCRIPTION ADDRESS [OBSOLETE] |
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| Publication status |
ppublish |
| 265 ## - SOURCE FOR ACQUISITION/SUBSCRIPTION ADDRESS [OBSOLETE] |
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| Medline status |
MEDLINE |
| 266 ## - Date added to catalog |
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| Date added to catalog |
2023-10-04 |
| 520 ## - SUMMARY, ETC. |
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| Abstract |
BACKGROUND: Opioids play a role in pain management after surgery, but prolonged use contributes to developing opioid use disorder. Identifying patients at risk of prolonged use is critical for deploying interventions that reduce or avoid opioids; however, available predictive models do not incorporate patient-reported data (PRD), and it remains unclear whether PRD can predict postoperative use behavior. The authors used a machine learning approach leveraging preoperative PRD and electronic health record data to predict persistent opioid use after upper extremity surgery. |
| 520 ## - SUMMARY, ETC. |
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| Abstract |
CLINICAL QUESTION/LEVEL OF EVIDENCE: Risk, III. Copyright © 2023 by the American Society of Plastic Surgeons. |
| 520 ## - SUMMARY, ETC. |
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| Abstract |
CONCLUSIONS: This opioid use prediction model using preintervention data had good discriminative performance. PRD variables augmented electronic health record-based machine learning algorithms in predicting postsurgical use behaviors and were some of the strongest predictors. PRD should be used in future efforts to guide proper opioid stewardship. |
| 520 ## - SUMMARY, ETC. |
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| Abstract |
METHODS: Included patients underwent upper extremity surgery, completed preoperative PRD questionnaires, and were prescribed opioids after surgery. The authors trained models using a 2018 cohort and tested in a 2019 cohort. Opioid use was determined by patient report and filled prescriptions up to 6 months after surgery. The authors assessed model performance using area under the receiver operating characteristic, sensitivity, specificity, and Brier score. |
| 520 ## - SUMMARY, ETC. |
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| Abstract |
RESULTS: Among 1656 patients, 19% still used opioids at 6 weeks, 11% at 3 months, and 9% at 6 months. The XGBoost model trained on PRD plus electronic health record data achieved area under the receiver operating characteristic 0.73 at 6 months. Factors predictive of prolonged opioid use included income; education; tobacco, drug, or alcohol abuse; cancer; depression; and race. Protective factors included preoperative Patient-Reported Outcomes Measurement Information System Global Physical Health and Upper Extremity scores. |
| 546 ## - LANGUAGE NOTE |
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| Language note |
English |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
*Analgesics, Opioid |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
*Opioid-Related Disorders |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Analgesics, Opioid/tu [Therapeutic Use] |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Humans |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Opioid-Related Disorders/ep [Epidemiology] |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Opioid-Related Disorders/et [Etiology] |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Opioid-Related Disorders/pc [Prevention & Control] |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Pain, Postoperative/di [Diagnosis] |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Pain, Postoperative/dt [Drug Therapy] |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Pain, Postoperative/et [Etiology] |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Patient Reported Outcome Measures |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Retrospective Studies |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Upper Extremity/su [Surgery] |
| 651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
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| Institution |
Curtis National Hand Center |
| 651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
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| Institution |
Curtis National Hand Center |
| 651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
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| Institution |
MedStar Health Research Institute |
| 651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
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| Institution |
MedStar Health Research Institute |
| 651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
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| Institution |
MedStar Health Research Institute |
| 651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
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| Institution |
MedStar Health Research Institute, Virginia |
| 657 ## - INDEX TERM--FUNCTION |
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| Medline publication type |
Journal Article |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Local Authors |
Giladi, Aviram M |
| Institution Code |
CURT |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Local Authors |
Gupta, Samir |
| Institution Code |
MHRI |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Local Authors |
Miller, Kristen |
| Institution Code |
MHRI |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Local Authors |
Sanghavi, Kavya K |
| Institution Code |
MHRI |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Local Authors |
Shipp, Michael M |
| Institution Code |
CURT |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Local Authors |
Zhang, Gongliang |
| Institution Code |
MHRI |
| 790 ## - Authors |
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| All authors |
Belouali A, Giladi AM, Gupta S, Madhavan S, Miller KE, Sanghavi KK, Shipp MM, Zhang G |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
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| DOI |
<a href="https://dx.doi.org/10.1097/PRS.0000000000010297">https://dx.doi.org/10.1097/PRS.0000000000010297</a> |
| Public note |
https://dx.doi.org/10.1097/PRS.0000000000010297 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Koha item type |
Journal Article |
| Item type description |
Article |
