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Dual energy x-ray absorptiometry analysis contributes to the prediction of hip osteoarthritis progression

INTRODUCTION: To determine if structural bone parameters obtained from dual energy X-ray absorptiometry (DXA) contribute to the prediction of progression of hip osteoarthritis (OA) and to test if the difference between the most affected (OA) hip and the contralateral hip adds to this prediction. MET...

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Autores principales: Betancourt, Martha C Castaño, Linden, Jacqueline C Van der, Rivadeneira, Fernando, Rozendaal, Rianne M, Zeinstra, Sita M Bierma, Weinans, Harrie, Waarsing, Jan H
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3003541/
https://www.ncbi.nlm.nih.gov/pubmed/19883507
http://dx.doi.org/10.1186/ar2845
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author Betancourt, Martha C Castaño
Linden, Jacqueline C Van der
Rivadeneira, Fernando
Rozendaal, Rianne M
Zeinstra, Sita M Bierma
Weinans, Harrie
Waarsing, Jan H
author_facet Betancourt, Martha C Castaño
Linden, Jacqueline C Van der
Rivadeneira, Fernando
Rozendaal, Rianne M
Zeinstra, Sita M Bierma
Weinans, Harrie
Waarsing, Jan H
author_sort Betancourt, Martha C Castaño
collection PubMed
description INTRODUCTION: To determine if structural bone parameters obtained from dual energy X-ray absorptiometry (DXA) contribute to the prediction of progression of hip osteoarthritis (OA) and to test if the difference between the most affected (OA) hip and the contralateral hip adds to this prediction. METHODS: The study group involves a prospective cohort of 189 patients that met the American College of Rheumatology (ARC) classification criteria for hip osteoarthritis. Progression was defined as 20% joint space narrowing or total hip replacement within a two years follow up. Software was developed to calculate geometrical aspects and bone mineral density (BMD) in different regions of interest of the proximal femur. Logistic regression was used to test if Kellgren and Lawrence (K-L) scores and DXA parameters can predict progression of OA. Models were compared using -2log likelihood tests, R(2 )Nagelkerke and areas under the Receiver Operator Characteristic curves, assessed using 10-fold cross validation. RESULTS: The model that included the DXA variables was significantly better in predicting hip OA progression than the model with K-L score of the affected side alone (P < 0.01). The addition of the differences in DXA parameters between the most affected and contralateral hip in the superior part of the femoral head, trochanteric and intertrochanteric area further improved the prediction of progression (P < 0.05). K-L score of the affected side was still the most significant single variable in the models. CONCLUSIONS: DXA parameters can significantly contribute to the prediction of progression in patients with hip osteoarthritis. The analysis of the DXA differences between the hips of the patient represents a small but significant contribution to this prediction. These analyses show the importance of bone density changes in the etiology of OA.
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spelling pubmed-30035412010-12-18 Dual energy x-ray absorptiometry analysis contributes to the prediction of hip osteoarthritis progression Betancourt, Martha C Castaño Linden, Jacqueline C Van der Rivadeneira, Fernando Rozendaal, Rianne M Zeinstra, Sita M Bierma Weinans, Harrie Waarsing, Jan H Arthritis Res Ther Research Article INTRODUCTION: To determine if structural bone parameters obtained from dual energy X-ray absorptiometry (DXA) contribute to the prediction of progression of hip osteoarthritis (OA) and to test if the difference between the most affected (OA) hip and the contralateral hip adds to this prediction. METHODS: The study group involves a prospective cohort of 189 patients that met the American College of Rheumatology (ARC) classification criteria for hip osteoarthritis. Progression was defined as 20% joint space narrowing or total hip replacement within a two years follow up. Software was developed to calculate geometrical aspects and bone mineral density (BMD) in different regions of interest of the proximal femur. Logistic regression was used to test if Kellgren and Lawrence (K-L) scores and DXA parameters can predict progression of OA. Models were compared using -2log likelihood tests, R(2 )Nagelkerke and areas under the Receiver Operator Characteristic curves, assessed using 10-fold cross validation. RESULTS: The model that included the DXA variables was significantly better in predicting hip OA progression than the model with K-L score of the affected side alone (P < 0.01). The addition of the differences in DXA parameters between the most affected and contralateral hip in the superior part of the femoral head, trochanteric and intertrochanteric area further improved the prediction of progression (P < 0.05). K-L score of the affected side was still the most significant single variable in the models. CONCLUSIONS: DXA parameters can significantly contribute to the prediction of progression in patients with hip osteoarthritis. The analysis of the DXA differences between the hips of the patient represents a small but significant contribution to this prediction. These analyses show the importance of bone density changes in the etiology of OA. BioMed Central 2009 2009-11-02 /pmc/articles/PMC3003541/ /pubmed/19883507 http://dx.doi.org/10.1186/ar2845 Text en Copyright ©2009 Castaño Betancourt et al.; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Betancourt, Martha C Castaño
Linden, Jacqueline C Van der
Rivadeneira, Fernando
Rozendaal, Rianne M
Zeinstra, Sita M Bierma
Weinans, Harrie
Waarsing, Jan H
Dual energy x-ray absorptiometry analysis contributes to the prediction of hip osteoarthritis progression
title Dual energy x-ray absorptiometry analysis contributes to the prediction of hip osteoarthritis progression
title_full Dual energy x-ray absorptiometry analysis contributes to the prediction of hip osteoarthritis progression
title_fullStr Dual energy x-ray absorptiometry analysis contributes to the prediction of hip osteoarthritis progression
title_full_unstemmed Dual energy x-ray absorptiometry analysis contributes to the prediction of hip osteoarthritis progression
title_short Dual energy x-ray absorptiometry analysis contributes to the prediction of hip osteoarthritis progression
title_sort dual energy x-ray absorptiometry analysis contributes to the prediction of hip osteoarthritis progression
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3003541/
https://www.ncbi.nlm.nih.gov/pubmed/19883507
http://dx.doi.org/10.1186/ar2845
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