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Defining pain and interference recovery trajectories after acute non-catastrophic musculoskeletal trauma through growth mixture modeling
BACKGROUND: Recovery trajectories support early identification of delayed recovery and can inform personalized management or phenotyping of risk profiles in patients. The objective of this study was to investigate the trajectories in pain severity and functional interference following non-catastroph...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7495896/ https://www.ncbi.nlm.nih.gov/pubmed/32943021 http://dx.doi.org/10.1186/s12891-020-03621-7 |
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author | Lee, Joshua Y. Walton, David M. Tremblay, Paul May, Curtis Millard, Wanda Elliott, James M. MacDermid, Joy C. |
author_facet | Lee, Joshua Y. Walton, David M. Tremblay, Paul May, Curtis Millard, Wanda Elliott, James M. MacDermid, Joy C. |
author_sort | Lee, Joshua Y. |
collection | PubMed |
description | BACKGROUND: Recovery trajectories support early identification of delayed recovery and can inform personalized management or phenotyping of risk profiles in patients. The objective of this study was to investigate the trajectories in pain severity and functional interference following non-catastrophic musculoskeletal (MSK) trauma in an international, mixed injury sample. METHODS: A prospective longitudinal cohort (n = 241) was formed from patients identified within four weeks of trauma, from attendance at emergency or urgent care centres located in London, ON, Canada, or Chicago, IL, USA. Pain interference was measured via the Brief Pain Inventory (London cohort) or the Neck Disability Index (Chicago cohort). Pain severity was captured in both cohorts using the numeric pain rating scale. Growth mixture modeling and RM repeated measures ANOVA approaches identified distinct trajectories of recovery within pain interference and pain severity data. RESULTS: For pain interference, the three trajectories were labeled accordingly: Class 1 = Rapid recovery (lowest intercept, full or near full recovery by 3 months, 32.0% of the sample); Class 2 = Delayed recovery (higher intercept, recovery by 12 months, 26.7% of the sample); Class 3 = Minimal or no recovery (higher intercept, persistently high interference scores at 12 months, 41.3% of the sample). For pain severity, the two trajectories were labeled: Class 1 = Rapid recovery (lower intercept, recovery by 3 months, 81.3% of the sample); and Class 2 = Minimal or no recovery (higher intercept, flat curve, 18.7% of the sample). The “Minimal or No Recovery” trajectory could be predicted by female sex and axial (vs. peripheral) region of trauma with 74.3% accuracy across the 3 classes for the % Interference outcome. For the Pain Severity outcome, only region (axial trauma, 81.3% accuracy) predicted the “Minimal or No Recovery” trajectory. CONCLUSIONS: These results suggest that three meaningful recovery trajectories can be identified in an international, mixed-injury sample when pain interference is the outcome, and two recovery trajectories emerge when pain severity is the outcome. Females in the sample or people who suffered axial injuries (head, neck, or low back) were more likely to be classed in poor outcome trajectories. TRIAL REGISTRATION: National Institutes of Health - clinicaltrials.gov (NCT02711085; Retrospectively registered Mar 17, 2016). |
format | Online Article Text |
id | pubmed-7495896 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74958962020-09-23 Defining pain and interference recovery trajectories after acute non-catastrophic musculoskeletal trauma through growth mixture modeling Lee, Joshua Y. Walton, David M. Tremblay, Paul May, Curtis Millard, Wanda Elliott, James M. MacDermid, Joy C. BMC Musculoskelet Disord Research Article BACKGROUND: Recovery trajectories support early identification of delayed recovery and can inform personalized management or phenotyping of risk profiles in patients. The objective of this study was to investigate the trajectories in pain severity and functional interference following non-catastrophic musculoskeletal (MSK) trauma in an international, mixed injury sample. METHODS: A prospective longitudinal cohort (n = 241) was formed from patients identified within four weeks of trauma, from attendance at emergency or urgent care centres located in London, ON, Canada, or Chicago, IL, USA. Pain interference was measured via the Brief Pain Inventory (London cohort) or the Neck Disability Index (Chicago cohort). Pain severity was captured in both cohorts using the numeric pain rating scale. Growth mixture modeling and RM repeated measures ANOVA approaches identified distinct trajectories of recovery within pain interference and pain severity data. RESULTS: For pain interference, the three trajectories were labeled accordingly: Class 1 = Rapid recovery (lowest intercept, full or near full recovery by 3 months, 32.0% of the sample); Class 2 = Delayed recovery (higher intercept, recovery by 12 months, 26.7% of the sample); Class 3 = Minimal or no recovery (higher intercept, persistently high interference scores at 12 months, 41.3% of the sample). For pain severity, the two trajectories were labeled: Class 1 = Rapid recovery (lower intercept, recovery by 3 months, 81.3% of the sample); and Class 2 = Minimal or no recovery (higher intercept, flat curve, 18.7% of the sample). The “Minimal or No Recovery” trajectory could be predicted by female sex and axial (vs. peripheral) region of trauma with 74.3% accuracy across the 3 classes for the % Interference outcome. For the Pain Severity outcome, only region (axial trauma, 81.3% accuracy) predicted the “Minimal or No Recovery” trajectory. CONCLUSIONS: These results suggest that three meaningful recovery trajectories can be identified in an international, mixed-injury sample when pain interference is the outcome, and two recovery trajectories emerge when pain severity is the outcome. Females in the sample or people who suffered axial injuries (head, neck, or low back) were more likely to be classed in poor outcome trajectories. TRIAL REGISTRATION: National Institutes of Health - clinicaltrials.gov (NCT02711085; Retrospectively registered Mar 17, 2016). BioMed Central 2020-09-17 /pmc/articles/PMC7495896/ /pubmed/32943021 http://dx.doi.org/10.1186/s12891-020-03621-7 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Lee, Joshua Y. Walton, David M. Tremblay, Paul May, Curtis Millard, Wanda Elliott, James M. MacDermid, Joy C. Defining pain and interference recovery trajectories after acute non-catastrophic musculoskeletal trauma through growth mixture modeling |
title | Defining pain and interference recovery trajectories after acute non-catastrophic musculoskeletal trauma through growth mixture modeling |
title_full | Defining pain and interference recovery trajectories after acute non-catastrophic musculoskeletal trauma through growth mixture modeling |
title_fullStr | Defining pain and interference recovery trajectories after acute non-catastrophic musculoskeletal trauma through growth mixture modeling |
title_full_unstemmed | Defining pain and interference recovery trajectories after acute non-catastrophic musculoskeletal trauma through growth mixture modeling |
title_short | Defining pain and interference recovery trajectories after acute non-catastrophic musculoskeletal trauma through growth mixture modeling |
title_sort | defining pain and interference recovery trajectories after acute non-catastrophic musculoskeletal trauma through growth mixture modeling |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7495896/ https://www.ncbi.nlm.nih.gov/pubmed/32943021 http://dx.doi.org/10.1186/s12891-020-03621-7 |
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