Cargando…

Identification of clinically-useful cut scores of the Traumatic Injuries Distress Scale (TIDS) for predicting rate of recovery following musculoskeletal trauma

OBJECTIVE: The Traumatic Injuries Distress Scale (TIDS) is a 12-item self-report tool intended for prognostic risk phenotyping in people with acute musculoskeletal (MSK) trauma. The initial validation study showed good associations with outcomes 12 weeks later in a cohort of 72 acutely injured patie...

Descripción completa

Detalles Bibliográficos
Autores principales: Walton, David M., Elliott, James M., Lee, Joshua, Fakhereddin, Mohamad, Seo, Wonjin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7987158/
https://www.ncbi.nlm.nih.gov/pubmed/33755664
http://dx.doi.org/10.1371/journal.pone.0248745
_version_ 1783668565764734976
author Walton, David M.
Elliott, James M.
Lee, Joshua
Fakhereddin, Mohamad
Seo, Wonjin
author_facet Walton, David M.
Elliott, James M.
Lee, Joshua
Fakhereddin, Mohamad
Seo, Wonjin
author_sort Walton, David M.
collection PubMed
description OBJECTIVE: The Traumatic Injuries Distress Scale (TIDS) is a 12-item self-report tool intended for prognostic risk phenotyping in people with acute musculoskeletal (MSK) trauma. The initial validation study showed good associations with outcomes 12 weeks later in a cohort of 72 acutely injured patients from one region in Canada. This study aims to provide further clinical utility through identification of meaningful cut scores in a larger, mixed geography sample, and expands the prediction window from 12 to 52 weeks. METHODS: Data were drawn from databanks in London, Canada and Chicago, United States. Participants were recruited within 3 weeks of non-catastrophic MSK trauma and followed for 12 months. Using outcomes trajectories, the TIDS underwent linear regression-based analysis to predict 52-week outcomes, and area under the receiver operating characteristic curves to identify discriminative accuracy and meaningful cut scores. RESULTS: N = 224 participants with acute trauma were followed and both %Interference and Pain Severity were captured at intake and 3 follow-ups to establish curvilinear recovery trajectories. The TIDS explained significant variance in both the interference and severity outcomes after controlling for sex, region of injury, and baseline scores. ROC analysis revealed significant discriminative accuracy for predicting both the trajectories and the distal outcomes over 52 weeks. The TIDS was more accurate for identifying the low-risk than high-risk patients. CONCLUSION: The TIDS is a useful tool for ‘ruling out’ high risk of poor outcome in a mixed sample of participants from two different countries. IMPACT STATEMENT: The TIDS will be a useful tool for clinicians to predict the rate of recovery by displaying meaningful cut-scores for their patients after an acute musculoskeletal injury. This could lead to reduced burden of care for low risk patients and more informed treatment options for higher risk patients.
format Online
Article
Text
id pubmed-7987158
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-79871582021-04-02 Identification of clinically-useful cut scores of the Traumatic Injuries Distress Scale (TIDS) for predicting rate of recovery following musculoskeletal trauma Walton, David M. Elliott, James M. Lee, Joshua Fakhereddin, Mohamad Seo, Wonjin PLoS One Research Article OBJECTIVE: The Traumatic Injuries Distress Scale (TIDS) is a 12-item self-report tool intended for prognostic risk phenotyping in people with acute musculoskeletal (MSK) trauma. The initial validation study showed good associations with outcomes 12 weeks later in a cohort of 72 acutely injured patients from one region in Canada. This study aims to provide further clinical utility through identification of meaningful cut scores in a larger, mixed geography sample, and expands the prediction window from 12 to 52 weeks. METHODS: Data were drawn from databanks in London, Canada and Chicago, United States. Participants were recruited within 3 weeks of non-catastrophic MSK trauma and followed for 12 months. Using outcomes trajectories, the TIDS underwent linear regression-based analysis to predict 52-week outcomes, and area under the receiver operating characteristic curves to identify discriminative accuracy and meaningful cut scores. RESULTS: N = 224 participants with acute trauma were followed and both %Interference and Pain Severity were captured at intake and 3 follow-ups to establish curvilinear recovery trajectories. The TIDS explained significant variance in both the interference and severity outcomes after controlling for sex, region of injury, and baseline scores. ROC analysis revealed significant discriminative accuracy for predicting both the trajectories and the distal outcomes over 52 weeks. The TIDS was more accurate for identifying the low-risk than high-risk patients. CONCLUSION: The TIDS is a useful tool for ‘ruling out’ high risk of poor outcome in a mixed sample of participants from two different countries. IMPACT STATEMENT: The TIDS will be a useful tool for clinicians to predict the rate of recovery by displaying meaningful cut-scores for their patients after an acute musculoskeletal injury. This could lead to reduced burden of care for low risk patients and more informed treatment options for higher risk patients. Public Library of Science 2021-03-23 /pmc/articles/PMC7987158/ /pubmed/33755664 http://dx.doi.org/10.1371/journal.pone.0248745 Text en © 2021 Walton et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Walton, David M.
Elliott, James M.
Lee, Joshua
Fakhereddin, Mohamad
Seo, Wonjin
Identification of clinically-useful cut scores of the Traumatic Injuries Distress Scale (TIDS) for predicting rate of recovery following musculoskeletal trauma
title Identification of clinically-useful cut scores of the Traumatic Injuries Distress Scale (TIDS) for predicting rate of recovery following musculoskeletal trauma
title_full Identification of clinically-useful cut scores of the Traumatic Injuries Distress Scale (TIDS) for predicting rate of recovery following musculoskeletal trauma
title_fullStr Identification of clinically-useful cut scores of the Traumatic Injuries Distress Scale (TIDS) for predicting rate of recovery following musculoskeletal trauma
title_full_unstemmed Identification of clinically-useful cut scores of the Traumatic Injuries Distress Scale (TIDS) for predicting rate of recovery following musculoskeletal trauma
title_short Identification of clinically-useful cut scores of the Traumatic Injuries Distress Scale (TIDS) for predicting rate of recovery following musculoskeletal trauma
title_sort identification of clinically-useful cut scores of the traumatic injuries distress scale (tids) for predicting rate of recovery following musculoskeletal trauma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7987158/
https://www.ncbi.nlm.nih.gov/pubmed/33755664
http://dx.doi.org/10.1371/journal.pone.0248745
work_keys_str_mv AT waltondavidm identificationofclinicallyusefulcutscoresofthetraumaticinjuriesdistressscaletidsforpredictingrateofrecoveryfollowingmusculoskeletaltrauma
AT elliottjamesm identificationofclinicallyusefulcutscoresofthetraumaticinjuriesdistressscaletidsforpredictingrateofrecoveryfollowingmusculoskeletaltrauma
AT leejoshua identificationofclinicallyusefulcutscoresofthetraumaticinjuriesdistressscaletidsforpredictingrateofrecoveryfollowingmusculoskeletaltrauma
AT fakhereddinmohamad identificationofclinicallyusefulcutscoresofthetraumaticinjuriesdistressscaletidsforpredictingrateofrecoveryfollowingmusculoskeletaltrauma
AT seowonjin identificationofclinicallyusefulcutscoresofthetraumaticinjuriesdistressscaletidsforpredictingrateofrecoveryfollowingmusculoskeletaltrauma