MARC details
| 000 -LEADER |
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| fixed length control field |
03269nam a22004457a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
221018s20222022 xxu||||| |||| 00| 0 eng d |
| 022 ## - INTERNATIONAL STANDARD SERIAL NUMBER |
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| International Standard Serial Number |
2169-7574 |
| 024 ## - OTHER STANDARD IDENTIFIER |
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| Standard number or code |
10.1097/GOX.0000000000004472 [doi] |
| 024 ## - OTHER STANDARD IDENTIFIER |
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| Standard number or code |
PMC9390808 [pmc] |
| 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 |
35999884 |
| 245 ## - TITLE STATEMENT |
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| Title |
Machine Learning Improves Functional Upper Extremity Use Capture in Distal Radius Fracture Patients. |
| 251 ## - Source |
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| Source |
Plastic and Reconstructive Surgery - Global Open. 10(8):e4472, 2022 Aug. |
| 252 ## - Abbreviated Source |
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| Abbreviated source |
Plast. reconstr. surg., Glob. open. 10(8):e4472, 2022 Aug. |
| 253 ## - Journal Name |
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| Journal name |
Plastic and reconstructive surgery. Global open |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Year |
2022 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Manufacturer |
FY2023 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Publication date |
2022 Aug |
| 265 ## - SOURCE FOR ACQUISITION/SUBSCRIPTION ADDRESS [OBSOLETE] |
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| Publication status |
epublish |
| 265 ## - SOURCE FOR ACQUISITION/SUBSCRIPTION ADDRESS [OBSOLETE] |
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| Medline status |
PubMed-not-MEDLINE |
| 266 ## - Date added to catalog |
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| Date added to catalog |
2022-10-20 |
| 520 ## - SUMMARY, ETC. |
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| Abstract |
Current outcome measures, including strength/range of motion testing, patient-reported outcomes (PROs), and motor skill testing, may provide inadequate granularity in reflecting functional upper extremity (UE) use after distal radius fracture (DRF) repair. Accelerometry analysis also has shortcomings, namely, an inability to differentiate functional versus nonfunctional movements. The objective of this study was to evaluate the accuracy of machine learning (ML) analyses in capturing UE functional movements based on accelerometry data for patients after DRF repair. In this prospective study, six patients were enrolled 2-6 weeks after DRF open reduction and internal fixation (ORIF). They all performed standardized activities while wearing a wrist accelerometer, and the data were analyzed by an ML algorithm. These activities were also videotaped and evaluated by visual inspection. Our novel ML algorithm was able to predict from accelerometry data whether the limb was performing a movement rated as functional, with accuracy of 90.4% +/- 3.6% for within-subject modeling and 79.8% +/- 8.9% accuracy for between-subject modeling. The application of ML algorithms to accelerometry data allowed for capture of functional UE activity in patients after DRF open reduction and internal fixation and accurately predicts functional UE use. Such analyses could improve our understanding of recovery and enhance routine postoperative rehabilitation in DRF patients. Copyright © 2022 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of The American Society of Plastic Surgeons. |
| 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 |
IN PROCESS -- NOT YET INDEXED |
| 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 National Rehabilitation Network |
| 651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
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| Institution |
MedStar Union Memorial Hospital |
| 656 ## - INDEX TERM--OCCUPATION |
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| Department |
Orthopaedic Surgery Residency |
| 656 ## - INDEX TERM--OCCUPATION |
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| Department |
Orthopedics and Sports Medicine at Lafayette Center |
| 657 ## - INDEX TERM--FUNCTION |
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| Medline publication type |
Journal Article |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Local Authors |
Anderson, Cassidy C |
| 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 |
Grainger, Megan L |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Local Authors |
Mitchell, Abigail M |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Local Authors |
Sequeira, Sean |
| Institution Code |
MUMH |
| Program |
Orthopaedic Surgery Residency |
| Degree |
MD |
| Resident year |
Resident PGY 2 |
| 790 ## - Authors |
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| All authors |
Anderson CC, Geed S, Giladi AM, Grainger ML, Lum P, Mitchell AM, Sequeira SB |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
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| DOI |
<a href="https://dx.doi.org/10.1097/GOX.0000000000004472">https://dx.doi.org/10.1097/GOX.0000000000004472</a> |
| Public note |
https://dx.doi.org/10.1097/GOX.0000000000004472 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Koha item type |
Journal Article |
| Item type description |
Article |
