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Predictors for outcome in acute lateral epicondylitis

BACKGROUND: Lateral epicondylitis or tennis elbow is a frequent condition with long-lasting symptoms. In order to identify predictors for treatment success and pain in lateral epicondylitis, we used data from a randomized controlled trial. This trial investigated the efficacy of physiotherapy alone...

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Autores principales: Holmedal, Øystein, Olaussen, Morten, Mdala, Ibrahimu, Natvig, Bård, Lindbæk, Morten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6698329/
https://www.ncbi.nlm.nih.gov/pubmed/31421668
http://dx.doi.org/10.1186/s12891-019-2758-y
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author Holmedal, Øystein
Olaussen, Morten
Mdala, Ibrahimu
Natvig, Bård
Lindbæk, Morten
author_facet Holmedal, Øystein
Olaussen, Morten
Mdala, Ibrahimu
Natvig, Bård
Lindbæk, Morten
author_sort Holmedal, Øystein
collection PubMed
description BACKGROUND: Lateral epicondylitis or tennis elbow is a frequent condition with long-lasting symptoms. In order to identify predictors for treatment success and pain in lateral epicondylitis, we used data from a randomized controlled trial. This trial investigated the efficacy of physiotherapy alone or combined with corticosteroid injection for acute lateral epicondylitis in general practice. METHODS: The outcomes treatment success and pain score on VAS were assessed at 6, 12, 26 and 52 weeks. We ran a univariate binary logistic regression with generalized estimating equations (GEE) and subsequently an adjusted multilevel logistic regression to analyze the association between potential prognostic indicators and the outcome success/ no success. To assess the changes in pain score we used a two-level multilevel linear regression (MLR) followed by an adjusted MLR model with random effects. RESULTS: The most consistent predictor for reduced treatment success at all time points was a high Pain Free Function Index score signifying more pain on everyday activities. Being on paid sick-leave and having a recurring complaint increased short term treatment success but gave decreased long-term treatment success. The patients reporting symptoms after engaging in probable overuse in an unusual activity, tended towards increased treatment success at all time-points, but significant only at 12 weeks. The most consistent predictor of increased pain at all time points was a higher overall complaints score at baseline. Conclusions: Our results suggest that in treating acute lateral epicondylitis, a consideration of baseline pain, a registration of the patient’s overall complaint on a VAS scale and an assessment of the patient’s perceived performance in everyday activities with the Pain Free Function Index can be useful in identifying patients that will have a more protracted and serious condition. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT00826462. Date of registration January 22, 2009. The Trial was prospectively registrated. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12891-019-2758-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-66983292019-08-22 Predictors for outcome in acute lateral epicondylitis Holmedal, Øystein Olaussen, Morten Mdala, Ibrahimu Natvig, Bård Lindbæk, Morten BMC Musculoskelet Disord Research Article BACKGROUND: Lateral epicondylitis or tennis elbow is a frequent condition with long-lasting symptoms. In order to identify predictors for treatment success and pain in lateral epicondylitis, we used data from a randomized controlled trial. This trial investigated the efficacy of physiotherapy alone or combined with corticosteroid injection for acute lateral epicondylitis in general practice. METHODS: The outcomes treatment success and pain score on VAS were assessed at 6, 12, 26 and 52 weeks. We ran a univariate binary logistic regression with generalized estimating equations (GEE) and subsequently an adjusted multilevel logistic regression to analyze the association between potential prognostic indicators and the outcome success/ no success. To assess the changes in pain score we used a two-level multilevel linear regression (MLR) followed by an adjusted MLR model with random effects. RESULTS: The most consistent predictor for reduced treatment success at all time points was a high Pain Free Function Index score signifying more pain on everyday activities. Being on paid sick-leave and having a recurring complaint increased short term treatment success but gave decreased long-term treatment success. The patients reporting symptoms after engaging in probable overuse in an unusual activity, tended towards increased treatment success at all time-points, but significant only at 12 weeks. The most consistent predictor of increased pain at all time points was a higher overall complaints score at baseline. Conclusions: Our results suggest that in treating acute lateral epicondylitis, a consideration of baseline pain, a registration of the patient’s overall complaint on a VAS scale and an assessment of the patient’s perceived performance in everyday activities with the Pain Free Function Index can be useful in identifying patients that will have a more protracted and serious condition. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT00826462. Date of registration January 22, 2009. The Trial was prospectively registrated. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12891-019-2758-y) contains supplementary material, which is available to authorized users. BioMed Central 2019-08-17 /pmc/articles/PMC6698329/ /pubmed/31421668 http://dx.doi.org/10.1186/s12891-019-2758-y Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.
spellingShingle Research Article
Holmedal, Øystein
Olaussen, Morten
Mdala, Ibrahimu
Natvig, Bård
Lindbæk, Morten
Predictors for outcome in acute lateral epicondylitis
title Predictors for outcome in acute lateral epicondylitis
title_full Predictors for outcome in acute lateral epicondylitis
title_fullStr Predictors for outcome in acute lateral epicondylitis
title_full_unstemmed Predictors for outcome in acute lateral epicondylitis
title_short Predictors for outcome in acute lateral epicondylitis
title_sort predictors for outcome in acute lateral epicondylitis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6698329/
https://www.ncbi.nlm.nih.gov/pubmed/31421668
http://dx.doi.org/10.1186/s12891-019-2758-y
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