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Recovery trajectories in common musculoskeletal complaints by diagnosis contra prognostic phenotypes
BACKGROUND: There are large variations in symptoms and prognostic factors among patients sharing the same musculoskeletal (MSK) diagnosis, making traditional diagnostic labelling not very helpful in informing treatment or prognosis. Recently, we identified five MSK phenotypes across common MSK pain...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8132354/ https://www.ncbi.nlm.nih.gov/pubmed/34011349 http://dx.doi.org/10.1186/s12891-021-04332-3 |
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author | Aasdahl, Lene Granviken, Fredrik Meisingset, Ingebrigt Woodhouse, Astrid Evensen, Kari Anne I. Vasseljen, Ottar |
author_facet | Aasdahl, Lene Granviken, Fredrik Meisingset, Ingebrigt Woodhouse, Astrid Evensen, Kari Anne I. Vasseljen, Ottar |
author_sort | Aasdahl, Lene |
collection | PubMed |
description | BACKGROUND: There are large variations in symptoms and prognostic factors among patients sharing the same musculoskeletal (MSK) diagnosis, making traditional diagnostic labelling not very helpful in informing treatment or prognosis. Recently, we identified five MSK phenotypes across common MSK pain locations through latent class analysis (LCA). The aim of this study was to explore the one-year recovery trajectories for pain and functional limitations in the phenotypes and describe these in relation to the course of traditional diagnostic MSK groups. METHODS: We conducted a longitudinal observational study of 147 patients with neck, back, shoulder or complex pain in primary health care physiotherapy. Data on pain intensity and function were collected at baseline (week 0) and 1, 2, 3, 4, 6, 8, 12, 26 and 52 weeks of follow up using web-based questionnaires and mobile text messages. Recovery trajectories were described separately for the traditional diagnostic MSK groups based on pain location and the same patients categorized in phenotype groups based on prognostic factors shared among the MSK diagnostic groups. RESULTS: There was a general improvement in function throughout the year of follow-up for the MSK groups, while there was a more modest decrease for pain intensity. The MSK diagnoses were dispersed across all five phenotypes, where the phenotypes showed clearly different trajectories for recovery and course of symptoms over 12 months follow-up. This variation was not captured by the single trajectory for site specific MSK diagnoses. CONCLUSION: Prognostic subgrouping revealed more diverse patterns in pain and function recovery over 1 year than observed in the same patients classified by traditional diagnostic groups and may better reflect the diversity in recovery of common MSK disorders. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12891-021-04332-3. |
format | Online Article Text |
id | pubmed-8132354 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-81323542021-05-19 Recovery trajectories in common musculoskeletal complaints by diagnosis contra prognostic phenotypes Aasdahl, Lene Granviken, Fredrik Meisingset, Ingebrigt Woodhouse, Astrid Evensen, Kari Anne I. Vasseljen, Ottar BMC Musculoskelet Disord Research Article BACKGROUND: There are large variations in symptoms and prognostic factors among patients sharing the same musculoskeletal (MSK) diagnosis, making traditional diagnostic labelling not very helpful in informing treatment or prognosis. Recently, we identified five MSK phenotypes across common MSK pain locations through latent class analysis (LCA). The aim of this study was to explore the one-year recovery trajectories for pain and functional limitations in the phenotypes and describe these in relation to the course of traditional diagnostic MSK groups. METHODS: We conducted a longitudinal observational study of 147 patients with neck, back, shoulder or complex pain in primary health care physiotherapy. Data on pain intensity and function were collected at baseline (week 0) and 1, 2, 3, 4, 6, 8, 12, 26 and 52 weeks of follow up using web-based questionnaires and mobile text messages. Recovery trajectories were described separately for the traditional diagnostic MSK groups based on pain location and the same patients categorized in phenotype groups based on prognostic factors shared among the MSK diagnostic groups. RESULTS: There was a general improvement in function throughout the year of follow-up for the MSK groups, while there was a more modest decrease for pain intensity. The MSK diagnoses were dispersed across all five phenotypes, where the phenotypes showed clearly different trajectories for recovery and course of symptoms over 12 months follow-up. This variation was not captured by the single trajectory for site specific MSK diagnoses. CONCLUSION: Prognostic subgrouping revealed more diverse patterns in pain and function recovery over 1 year than observed in the same patients classified by traditional diagnostic groups and may better reflect the diversity in recovery of common MSK disorders. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12891-021-04332-3. BioMed Central 2021-05-19 /pmc/articles/PMC8132354/ /pubmed/34011349 http://dx.doi.org/10.1186/s12891-021-04332-3 Text en © The Author(s) 2021, corrected publication 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 Aasdahl, Lene Granviken, Fredrik Meisingset, Ingebrigt Woodhouse, Astrid Evensen, Kari Anne I. Vasseljen, Ottar Recovery trajectories in common musculoskeletal complaints by diagnosis contra prognostic phenotypes |
title | Recovery trajectories in common musculoskeletal complaints by diagnosis contra prognostic phenotypes |
title_full | Recovery trajectories in common musculoskeletal complaints by diagnosis contra prognostic phenotypes |
title_fullStr | Recovery trajectories in common musculoskeletal complaints by diagnosis contra prognostic phenotypes |
title_full_unstemmed | Recovery trajectories in common musculoskeletal complaints by diagnosis contra prognostic phenotypes |
title_short | Recovery trajectories in common musculoskeletal complaints by diagnosis contra prognostic phenotypes |
title_sort | recovery trajectories in common musculoskeletal complaints by diagnosis contra prognostic phenotypes |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8132354/ https://www.ncbi.nlm.nih.gov/pubmed/34011349 http://dx.doi.org/10.1186/s12891-021-04332-3 |
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