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Estimating Risk of Chronic Pain and Disability Following Musculoskeletal Trauma in the United Kingdom

IMPORTANCE: Serious traumatic injury is a leading cause of death and disability globally, with most survivors known to develop chronic pain. OBJECTIVE: To describe early variables associated with poor long-term outcome for posttrauma pain and create a clinical screening tool for this purpose. DESIGN...

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Autores principales: Evans, David W., Rushton, Alison, Middlebrook, Nicola, Bishop, Jon, Barbero, Marco, Patel, Jaimin, Falla, Deborah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9419019/
https://www.ncbi.nlm.nih.gov/pubmed/36018591
http://dx.doi.org/10.1001/jamanetworkopen.2022.28870
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author Evans, David W.
Rushton, Alison
Middlebrook, Nicola
Bishop, Jon
Barbero, Marco
Patel, Jaimin
Falla, Deborah
author_facet Evans, David W.
Rushton, Alison
Middlebrook, Nicola
Bishop, Jon
Barbero, Marco
Patel, Jaimin
Falla, Deborah
author_sort Evans, David W.
collection PubMed
description IMPORTANCE: Serious traumatic injury is a leading cause of death and disability globally, with most survivors known to develop chronic pain. OBJECTIVE: To describe early variables associated with poor long-term outcome for posttrauma pain and create a clinical screening tool for this purpose. DESIGN, SETTING, AND PARTICIPANTS: This was a prospective cohort study at a major trauma center hospital in England. Recruitment commenced in December 2018 and ceased in March 2020. Participants were followed up for 12 months. Patients aged 16 years or older who were hospitalized because of acute musculoskeletal trauma within the preceding 14 days were included. Data were analyzed from March to December 2021. EXPOSURE: Acute musculoskeletal trauma requiring admittance to a major trauma center hospital. MAIN OUTCOMES AND MEASURES: A poor outcome was defined as Chronic Pain Grade II or higher and measured at both 6 months (primary time point) and 12 months. A broad range of candidate variables potentially associated with outcomes were used, including surrogates for pain mechanisms, quantitative sensory testing, and psychosocial factors. Univariable models were used to identify the variables most likely to be associated with poor outcome, which were entered into multivariable models. A clinical screening tool (nomogram) was derived from 6-month results. RESULTS: In total, 1590 consecutive patients were assessed for eligibility, of whom 772 were deemed eligible and 124 (80 male [64.5%]; mean [SD] age, 48.9 [18.8] years) were recruited. At 6 months, 19 of 82 respondents (23.2%) reported a good outcome, whereas at 12 months 27 of 44 respondents (61.4%) reported a good outcome. At 6 months on univariable analysis, an increase in total posttraumatic stress symptoms (odds ratio [OR], 2.09; 95% CI, 1.33-3.28), pain intensity average (OR, 2.87; 95% CI, 1.37-6.00), number of fractures (OR, 2.79; 95% CI, 1.02-7.64), and pain extent (OR, 4.67; 95% CI, 1.57-13.87) were associated with worse outcomes. A multivariable model including those variables had a sensitivity of 0.93, a specificity of 0.54, and C-index of 0.92. CONCLUSIONS AND RELEVANCE: A poor long-term pain outcome from musculoskeletal traumatic injuries may be estimated by measures recorded within days of injury. These findings suggest that posttraumatic stress symptoms, pain spatial distribution, perceived average pain intensity, and number of fractures are good candidates for a sensitive multivariable model and derived clinical screening tool.
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spelling pubmed-94190192022-09-12 Estimating Risk of Chronic Pain and Disability Following Musculoskeletal Trauma in the United Kingdom Evans, David W. Rushton, Alison Middlebrook, Nicola Bishop, Jon Barbero, Marco Patel, Jaimin Falla, Deborah JAMA Netw Open Original Investigation IMPORTANCE: Serious traumatic injury is a leading cause of death and disability globally, with most survivors known to develop chronic pain. OBJECTIVE: To describe early variables associated with poor long-term outcome for posttrauma pain and create a clinical screening tool for this purpose. DESIGN, SETTING, AND PARTICIPANTS: This was a prospective cohort study at a major trauma center hospital in England. Recruitment commenced in December 2018 and ceased in March 2020. Participants were followed up for 12 months. Patients aged 16 years or older who were hospitalized because of acute musculoskeletal trauma within the preceding 14 days were included. Data were analyzed from March to December 2021. EXPOSURE: Acute musculoskeletal trauma requiring admittance to a major trauma center hospital. MAIN OUTCOMES AND MEASURES: A poor outcome was defined as Chronic Pain Grade II or higher and measured at both 6 months (primary time point) and 12 months. A broad range of candidate variables potentially associated with outcomes were used, including surrogates for pain mechanisms, quantitative sensory testing, and psychosocial factors. Univariable models were used to identify the variables most likely to be associated with poor outcome, which were entered into multivariable models. A clinical screening tool (nomogram) was derived from 6-month results. RESULTS: In total, 1590 consecutive patients were assessed for eligibility, of whom 772 were deemed eligible and 124 (80 male [64.5%]; mean [SD] age, 48.9 [18.8] years) were recruited. At 6 months, 19 of 82 respondents (23.2%) reported a good outcome, whereas at 12 months 27 of 44 respondents (61.4%) reported a good outcome. At 6 months on univariable analysis, an increase in total posttraumatic stress symptoms (odds ratio [OR], 2.09; 95% CI, 1.33-3.28), pain intensity average (OR, 2.87; 95% CI, 1.37-6.00), number of fractures (OR, 2.79; 95% CI, 1.02-7.64), and pain extent (OR, 4.67; 95% CI, 1.57-13.87) were associated with worse outcomes. A multivariable model including those variables had a sensitivity of 0.93, a specificity of 0.54, and C-index of 0.92. CONCLUSIONS AND RELEVANCE: A poor long-term pain outcome from musculoskeletal traumatic injuries may be estimated by measures recorded within days of injury. These findings suggest that posttraumatic stress symptoms, pain spatial distribution, perceived average pain intensity, and number of fractures are good candidates for a sensitive multivariable model and derived clinical screening tool. American Medical Association 2022-08-26 /pmc/articles/PMC9419019/ /pubmed/36018591 http://dx.doi.org/10.1001/jamanetworkopen.2022.28870 Text en Copyright 2022 Evans DW et al. JAMA Network Open. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the CC-BY License.
spellingShingle Original Investigation
Evans, David W.
Rushton, Alison
Middlebrook, Nicola
Bishop, Jon
Barbero, Marco
Patel, Jaimin
Falla, Deborah
Estimating Risk of Chronic Pain and Disability Following Musculoskeletal Trauma in the United Kingdom
title Estimating Risk of Chronic Pain and Disability Following Musculoskeletal Trauma in the United Kingdom
title_full Estimating Risk of Chronic Pain and Disability Following Musculoskeletal Trauma in the United Kingdom
title_fullStr Estimating Risk of Chronic Pain and Disability Following Musculoskeletal Trauma in the United Kingdom
title_full_unstemmed Estimating Risk of Chronic Pain and Disability Following Musculoskeletal Trauma in the United Kingdom
title_short Estimating Risk of Chronic Pain and Disability Following Musculoskeletal Trauma in the United Kingdom
title_sort estimating risk of chronic pain and disability following musculoskeletal trauma in the united kingdom
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9419019/
https://www.ncbi.nlm.nih.gov/pubmed/36018591
http://dx.doi.org/10.1001/jamanetworkopen.2022.28870
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