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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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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. |
format | Online Article Text |
id | pubmed-6698329 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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