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Prognosis of patients with whiplash-associated disorders consulting physiotherapy: development of a predictive model for recovery
BACKGROUND: Patients with whiplash-associated disorders (WAD) have a generally favourable prognosis, yet some develop longstanding pain and disability. Predicting who will recover from WAD shortly after a traffic collision is very challenging for health care providers such as physical therapists. Th...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3544579/ https://www.ncbi.nlm.nih.gov/pubmed/23273330 http://dx.doi.org/10.1186/1471-2474-13-264 |
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author | Bohman, Tony Côté, Pierre Boyle, Eleanor Cassidy, J David Carroll, Linda J Skillgate, Eva |
author_facet | Bohman, Tony Côté, Pierre Boyle, Eleanor Cassidy, J David Carroll, Linda J Skillgate, Eva |
author_sort | Bohman, Tony |
collection | PubMed |
description | BACKGROUND: Patients with whiplash-associated disorders (WAD) have a generally favourable prognosis, yet some develop longstanding pain and disability. Predicting who will recover from WAD shortly after a traffic collision is very challenging for health care providers such as physical therapists. Therefore, we aimed to develop a prediction model for the recovery of WAD in a cohort of patients who consulted physical therapists within six weeks after the injury. METHODS: Our cohort included 680 adult patients with WAD who were injured in Saskatchewan, Canada, between 1997 and 1999. All patients had consulted a physical therapist as a result of the injury. Baseline prognostic factors were collected from an injury questionnaire administered by Saskatchewan Government Insurance. The outcome, global self-perceived recovery, was assessed by telephone interviews six weeks, three and six months later. Twenty-five possible baseline prognostic factors were considered in the analyses. A prediction model was built using Cox regression. The predictive ability of the model was estimated with concordance statistics (c-index). Internal validity was checked using bootstrapping. RESULTS: Our final prediction model included: age, number of days to reporting the collision, neck pain intensity, low back pain intensity, pain other than neck and back pain, headache before collision and recovery expectations. The model had an acceptable level of predictive ability with a c-index of 0.68 (95% CI: 0.65, 0.71). Internal validation showed that our model was robust and had a good fit. CONCLUSIONS: We developed a model predicting recovery from WAD, in a cohort of patients who consulted physical therapists. Our model has adequate predictive ability. However, to be fully incorporated in clinical practice the model needs to be validated in other populations and tested in clinical settings. |
format | Online Article Text |
id | pubmed-3544579 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-35445792013-01-16 Prognosis of patients with whiplash-associated disorders consulting physiotherapy: development of a predictive model for recovery Bohman, Tony Côté, Pierre Boyle, Eleanor Cassidy, J David Carroll, Linda J Skillgate, Eva BMC Musculoskelet Disord Research Article BACKGROUND: Patients with whiplash-associated disorders (WAD) have a generally favourable prognosis, yet some develop longstanding pain and disability. Predicting who will recover from WAD shortly after a traffic collision is very challenging for health care providers such as physical therapists. Therefore, we aimed to develop a prediction model for the recovery of WAD in a cohort of patients who consulted physical therapists within six weeks after the injury. METHODS: Our cohort included 680 adult patients with WAD who were injured in Saskatchewan, Canada, between 1997 and 1999. All patients had consulted a physical therapist as a result of the injury. Baseline prognostic factors were collected from an injury questionnaire administered by Saskatchewan Government Insurance. The outcome, global self-perceived recovery, was assessed by telephone interviews six weeks, three and six months later. Twenty-five possible baseline prognostic factors were considered in the analyses. A prediction model was built using Cox regression. The predictive ability of the model was estimated with concordance statistics (c-index). Internal validity was checked using bootstrapping. RESULTS: Our final prediction model included: age, number of days to reporting the collision, neck pain intensity, low back pain intensity, pain other than neck and back pain, headache before collision and recovery expectations. The model had an acceptable level of predictive ability with a c-index of 0.68 (95% CI: 0.65, 0.71). Internal validation showed that our model was robust and had a good fit. CONCLUSIONS: We developed a model predicting recovery from WAD, in a cohort of patients who consulted physical therapists. Our model has adequate predictive ability. However, to be fully incorporated in clinical practice the model needs to be validated in other populations and tested in clinical settings. BioMed Central 2012-12-29 /pmc/articles/PMC3544579/ /pubmed/23273330 http://dx.doi.org/10.1186/1471-2474-13-264 Text en Copyright © 2012 Bohman et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Bohman, Tony Côté, Pierre Boyle, Eleanor Cassidy, J David Carroll, Linda J Skillgate, Eva Prognosis of patients with whiplash-associated disorders consulting physiotherapy: development of a predictive model for recovery |
title | Prognosis of patients with whiplash-associated disorders consulting physiotherapy: development of a predictive model for recovery |
title_full | Prognosis of patients with whiplash-associated disorders consulting physiotherapy: development of a predictive model for recovery |
title_fullStr | Prognosis of patients with whiplash-associated disorders consulting physiotherapy: development of a predictive model for recovery |
title_full_unstemmed | Prognosis of patients with whiplash-associated disorders consulting physiotherapy: development of a predictive model for recovery |
title_short | Prognosis of patients with whiplash-associated disorders consulting physiotherapy: development of a predictive model for recovery |
title_sort | prognosis of patients with whiplash-associated disorders consulting physiotherapy: development of a predictive model for recovery |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3544579/ https://www.ncbi.nlm.nih.gov/pubmed/23273330 http://dx.doi.org/10.1186/1471-2474-13-264 |
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