Evaluation of body mass index as a prognostic factor in osteoarthrosis of the knee()

OBJECTIVE: To evaluate the relationship between patients’ body mass index (BMI) and the degree of radiographic severity of knee osteoarthrosis. METHOD: 117 patients with gonarthrosis were evaluated prospectively. The patients’ BMI was calculated and their knee arthrosis was classified in accordance...

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Detalles Bibliográficos
Autores principales: Loures, Fabrício Bolpato, de Araújo Góes, Rogério Franco, Labronici, Pedro José, Barretto, João Maurício, Olej, Beni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4974104/
https://www.ncbi.nlm.nih.gov/pubmed/27517017
http://dx.doi.org/10.1016/j.rboe.2016.05.002
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author Loures, Fabrício Bolpato
de Araújo Góes, Rogério Franco
Labronici, Pedro José
Barretto, João Maurício
Olej, Beni
author_facet Loures, Fabrício Bolpato
de Araújo Góes, Rogério Franco
Labronici, Pedro José
Barretto, João Maurício
Olej, Beni
author_sort Loures, Fabrício Bolpato
collection PubMed
description OBJECTIVE: To evaluate the relationship between patients’ body mass index (BMI) and the degree of radiographic severity of knee osteoarthrosis. METHOD: 117 patients with gonarthrosis were evaluated prospectively. The patients’ BMI was calculated and their knee arthrosis was classified in accordance with the modified Ahlbäck criteria. Kruskal–Wallis analysis of variance (ANOVA) was used to evaluate the relationship between these two variables. RESULTS: The group classified as Ahlbäck grade V had significantly higher BMI than the others. CONCLUSION: There is a direct relationship between BMI and the degree of radiographic severity of gonarthrosis. Obesity appears to be directly related to the progression of knee osteoarthrosis.
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spelling pubmed-49741042016-08-11 Evaluation of body mass index as a prognostic factor in osteoarthrosis of the knee() Loures, Fabrício Bolpato de Araújo Góes, Rogério Franco Labronici, Pedro José Barretto, João Maurício Olej, Beni Rev Bras Ortop Original Article OBJECTIVE: To evaluate the relationship between patients’ body mass index (BMI) and the degree of radiographic severity of knee osteoarthrosis. METHOD: 117 patients with gonarthrosis were evaluated prospectively. The patients’ BMI was calculated and their knee arthrosis was classified in accordance with the modified Ahlbäck criteria. Kruskal–Wallis analysis of variance (ANOVA) was used to evaluate the relationship between these two variables. RESULTS: The group classified as Ahlbäck grade V had significantly higher BMI than the others. CONCLUSION: There is a direct relationship between BMI and the degree of radiographic severity of gonarthrosis. Obesity appears to be directly related to the progression of knee osteoarthrosis. Elsevier 2016-05-26 /pmc/articles/PMC4974104/ /pubmed/27517017 http://dx.doi.org/10.1016/j.rboe.2016.05.002 Text en © 2016 Sociedade Brasileira de Ortopedia e Traumatologia. Published by Elsevier Editora Ltda. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Loures, Fabrício Bolpato
de Araújo Góes, Rogério Franco
Labronici, Pedro José
Barretto, João Maurício
Olej, Beni
Evaluation of body mass index as a prognostic factor in osteoarthrosis of the knee()
title Evaluation of body mass index as a prognostic factor in osteoarthrosis of the knee()
title_full Evaluation of body mass index as a prognostic factor in osteoarthrosis of the knee()
title_fullStr Evaluation of body mass index as a prognostic factor in osteoarthrosis of the knee()
title_full_unstemmed Evaluation of body mass index as a prognostic factor in osteoarthrosis of the knee()
title_short Evaluation of body mass index as a prognostic factor in osteoarthrosis of the knee()
title_sort evaluation of body mass index as a prognostic factor in osteoarthrosis of the knee()
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4974104/
https://www.ncbi.nlm.nih.gov/pubmed/27517017
http://dx.doi.org/10.1016/j.rboe.2016.05.002
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