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Recovery trajectories over six weeks in patients selected for a high-intensity physiotherapy program after Total knee Arthroplasty: a latent class analysis

BACKGROUND: Recovery trajectories differ between individual patients and it is hypothesizes that they can be used to predict if an individual patient is likely to recover earlier or later. Primary aim of this study was to determine if it is possible to identify recovery trajectories for physical fun...

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Autores principales: Harmelink, K. E. M., Dandis, R., der Van der Wees PJ, P. J., Zeegers, A. V. C. M., der Sanden, M. W. Nijhuis-van, Staal, J. B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7882075/
https://www.ncbi.nlm.nih.gov/pubmed/33583403
http://dx.doi.org/10.1186/s12891-021-04037-7
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author Harmelink, K. E. M.
Dandis, R.
der Van der Wees PJ, P. J.
Zeegers, A. V. C. M.
der Sanden, M. W. Nijhuis-van
Staal, J. B.
author_facet Harmelink, K. E. M.
Dandis, R.
der Van der Wees PJ, P. J.
Zeegers, A. V. C. M.
der Sanden, M. W. Nijhuis-van
Staal, J. B.
author_sort Harmelink, K. E. M.
collection PubMed
description BACKGROUND: Recovery trajectories differ between individual patients and it is hypothesizes that they can be used to predict if an individual patient is likely to recover earlier or later. Primary aim of this study was to determine if it is possible to identify recovery trajectories for physical functioning and pain during the first six weeks in patients after TKA. Secondary aim was to explore the association of these trajectories with one-year outcomes. METHODS: Prospective cohort study of 218 patients with the following measurement time points: preoperative, and at three days, two weeks, six weeks, and one year post-surgery (no missings). Outcome measures were performance-based physical functioning (Timed Up and Go [TUG]), self-reported physical functioning (Knee injury and Osteoarthritis Outcome Score-Activities of Daily Living [KOOS-ADL]), and pain (Visual Analogue Scale [VAS]). Latent Class Analysis was used to distinguish classes based on recovery trajectories over the first six weeks postoperatively. Multivariable regression analyses were used to identify associations between classes and one year outcomes. RESULTS: TUG showed three classes: “gain group” (n = 203), “moderate gain group” (n = 8) and “slow gain group” (n = 7), KOOS showed two classes: “gain group” (n = 86) and “moderate gain group” (n = 132), and VAS-pain three classes: “no/very little pain” (n = 151), “normal decrease of pain” (n = 48) and “sustained pain” (n = 19). The” low gain group” scored 3.31 [95% CI 1.52, 5.09] seconds less on the TUG than the “moderate gain group” and the KOOS “gain group” scored 11.97 [95% CI 8.62, 15.33] points better than the “moderate gain group” after one year. Patients who had an early trajectory of “sustained pain” had less chance to become free of pain at one year than those who reported “no or little pain” (odds ratio 0.11 [95% CI 0.03,0.42]. CONCLUSION: The findings of this study indicate that different recovery trajectories can be detected. These recovery trajectories can distinguish outcome after one year.
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spelling pubmed-78820752021-02-17 Recovery trajectories over six weeks in patients selected for a high-intensity physiotherapy program after Total knee Arthroplasty: a latent class analysis Harmelink, K. E. M. Dandis, R. der Van der Wees PJ, P. J. Zeegers, A. V. C. M. der Sanden, M. W. Nijhuis-van Staal, J. B. BMC Musculoskelet Disord Research Article BACKGROUND: Recovery trajectories differ between individual patients and it is hypothesizes that they can be used to predict if an individual patient is likely to recover earlier or later. Primary aim of this study was to determine if it is possible to identify recovery trajectories for physical functioning and pain during the first six weeks in patients after TKA. Secondary aim was to explore the association of these trajectories with one-year outcomes. METHODS: Prospective cohort study of 218 patients with the following measurement time points: preoperative, and at three days, two weeks, six weeks, and one year post-surgery (no missings). Outcome measures were performance-based physical functioning (Timed Up and Go [TUG]), self-reported physical functioning (Knee injury and Osteoarthritis Outcome Score-Activities of Daily Living [KOOS-ADL]), and pain (Visual Analogue Scale [VAS]). Latent Class Analysis was used to distinguish classes based on recovery trajectories over the first six weeks postoperatively. Multivariable regression analyses were used to identify associations between classes and one year outcomes. RESULTS: TUG showed three classes: “gain group” (n = 203), “moderate gain group” (n = 8) and “slow gain group” (n = 7), KOOS showed two classes: “gain group” (n = 86) and “moderate gain group” (n = 132), and VAS-pain three classes: “no/very little pain” (n = 151), “normal decrease of pain” (n = 48) and “sustained pain” (n = 19). The” low gain group” scored 3.31 [95% CI 1.52, 5.09] seconds less on the TUG than the “moderate gain group” and the KOOS “gain group” scored 11.97 [95% CI 8.62, 15.33] points better than the “moderate gain group” after one year. Patients who had an early trajectory of “sustained pain” had less chance to become free of pain at one year than those who reported “no or little pain” (odds ratio 0.11 [95% CI 0.03,0.42]. CONCLUSION: The findings of this study indicate that different recovery trajectories can be detected. These recovery trajectories can distinguish outcome after one year. BioMed Central 2021-02-13 /pmc/articles/PMC7882075/ /pubmed/33583403 http://dx.doi.org/10.1186/s12891-021-04037-7 Text en © The Author(s) 2021 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/. The Creative Commons Public Domain Dedication waiver (http://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
Harmelink, K. E. M.
Dandis, R.
der Van der Wees PJ, P. J.
Zeegers, A. V. C. M.
der Sanden, M. W. Nijhuis-van
Staal, J. B.
Recovery trajectories over six weeks in patients selected for a high-intensity physiotherapy program after Total knee Arthroplasty: a latent class analysis
title Recovery trajectories over six weeks in patients selected for a high-intensity physiotherapy program after Total knee Arthroplasty: a latent class analysis
title_full Recovery trajectories over six weeks in patients selected for a high-intensity physiotherapy program after Total knee Arthroplasty: a latent class analysis
title_fullStr Recovery trajectories over six weeks in patients selected for a high-intensity physiotherapy program after Total knee Arthroplasty: a latent class analysis
title_full_unstemmed Recovery trajectories over six weeks in patients selected for a high-intensity physiotherapy program after Total knee Arthroplasty: a latent class analysis
title_short Recovery trajectories over six weeks in patients selected for a high-intensity physiotherapy program after Total knee Arthroplasty: a latent class analysis
title_sort recovery trajectories over six weeks in patients selected for a high-intensity physiotherapy program after total knee arthroplasty: a latent class analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7882075/
https://www.ncbi.nlm.nih.gov/pubmed/33583403
http://dx.doi.org/10.1186/s12891-021-04037-7
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