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...
Autores principales: | , , , , |
---|---|
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 |