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Active Shape Modeling of the Hip in the Prediction of Incident Hip Fracture

The objective of this study was to evaluate right proximal femur shape as a risk factor for incident hip fracture using active shape modeling (ASM). A nested case-control study of white women 65 years of age and older enrolled in the Study of Osteoporotic Fractures (SOF) was performed. Subjects (n =...

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Autores principales: Baker-LePain, Julie C, Luker, Kali R, Lynch, John A, Parimi, Neeta, Nevitt, Michael C, Lane, Nancy E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wiley Subscription Services, Inc., A Wiley Company 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3179295/
https://www.ncbi.nlm.nih.gov/pubmed/20878772
http://dx.doi.org/10.1002/jbmr.254
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author Baker-LePain, Julie C
Luker, Kali R
Lynch, John A
Parimi, Neeta
Nevitt, Michael C
Lane, Nancy E
author_facet Baker-LePain, Julie C
Luker, Kali R
Lynch, John A
Parimi, Neeta
Nevitt, Michael C
Lane, Nancy E
author_sort Baker-LePain, Julie C
collection PubMed
description The objective of this study was to evaluate right proximal femur shape as a risk factor for incident hip fracture using active shape modeling (ASM). A nested case-control study of white women 65 years of age and older enrolled in the Study of Osteoporotic Fractures (SOF) was performed. Subjects (n = 168) were randomly selected from study participants who experienced hip fracture during the follow-up period (mean 8.3 years). Controls (n = 231) had no fracture during follow-up. Subjects with baseline radiographic hip osteoarthritis were excluded. ASM of digitized right hip radiographs generated 10 independent modes of variation in proximal femur shape that together accounted for 95% of the variance in proximal femur shape. The association of ASM modes with incident hip fracture was analyzed by logistic regression. Together, the 10 ASM modes demonstrated good discrimination of incident hip fracture. In models controlling for age and body mass index (BMI), the area under receiver operating characteristic (AUROC) curve for hip shape was 0.813, 95% confidence interval (CI) 0.771–0.854 compared with models containing femoral neck bone mineral density (AUROC = 0.675, 95% CI 0.620–0.730), intertrochanteric bone mineral density (AUROC = 0.645, 95% CI 0.589–0.701), femoral neck length (AUROC = 0.631, 95% CI 0.573–0.690), or femoral neck width (AUROC = 0.633, 95% CI 0.574–0.691). The accuracy of fracture discrimination was improved by combining ASM modes with femoral neck bone mineral density (AUROC = 0.835, 95% CI 0.795–0.875) or with intertrochanteric bone mineral density (AUROC = 0.834, 95% CI 0.794–0.875). Hips with positive standard deviations of ASM mode 4 had the highest risk of incident hip fracture (odds ratio = 2.48, 95% CI 1.68–3.31, p < .001). We conclude that variations in the relative size of the femoral head and neck are important determinants of incident hip fracture. The addition of hip shape to fracture-prediction tools may improve the risk assessment for osteoporotic hip fractures. © 2011 American Society for Bone and Mineral Research.
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spelling pubmed-31792952012-03-01 Active Shape Modeling of the Hip in the Prediction of Incident Hip Fracture Baker-LePain, Julie C Luker, Kali R Lynch, John A Parimi, Neeta Nevitt, Michael C Lane, Nancy E J Bone Miner Res Original Article The objective of this study was to evaluate right proximal femur shape as a risk factor for incident hip fracture using active shape modeling (ASM). A nested case-control study of white women 65 years of age and older enrolled in the Study of Osteoporotic Fractures (SOF) was performed. Subjects (n = 168) were randomly selected from study participants who experienced hip fracture during the follow-up period (mean 8.3 years). Controls (n = 231) had no fracture during follow-up. Subjects with baseline radiographic hip osteoarthritis were excluded. ASM of digitized right hip radiographs generated 10 independent modes of variation in proximal femur shape that together accounted for 95% of the variance in proximal femur shape. The association of ASM modes with incident hip fracture was analyzed by logistic regression. Together, the 10 ASM modes demonstrated good discrimination of incident hip fracture. In models controlling for age and body mass index (BMI), the area under receiver operating characteristic (AUROC) curve for hip shape was 0.813, 95% confidence interval (CI) 0.771–0.854 compared with models containing femoral neck bone mineral density (AUROC = 0.675, 95% CI 0.620–0.730), intertrochanteric bone mineral density (AUROC = 0.645, 95% CI 0.589–0.701), femoral neck length (AUROC = 0.631, 95% CI 0.573–0.690), or femoral neck width (AUROC = 0.633, 95% CI 0.574–0.691). The accuracy of fracture discrimination was improved by combining ASM modes with femoral neck bone mineral density (AUROC = 0.835, 95% CI 0.795–0.875) or with intertrochanteric bone mineral density (AUROC = 0.834, 95% CI 0.794–0.875). Hips with positive standard deviations of ASM mode 4 had the highest risk of incident hip fracture (odds ratio = 2.48, 95% CI 1.68–3.31, p < .001). We conclude that variations in the relative size of the femoral head and neck are important determinants of incident hip fracture. The addition of hip shape to fracture-prediction tools may improve the risk assessment for osteoporotic hip fractures. © 2011 American Society for Bone and Mineral Research. Wiley Subscription Services, Inc., A Wiley Company 2011-03 2010-09-27 /pmc/articles/PMC3179295/ /pubmed/20878772 http://dx.doi.org/10.1002/jbmr.254 Text en Copyright © 2011 American Society for Bone and Mineral Research http://creativecommons.org/licenses/by/2.5/ Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.
spellingShingle Original Article
Baker-LePain, Julie C
Luker, Kali R
Lynch, John A
Parimi, Neeta
Nevitt, Michael C
Lane, Nancy E
Active Shape Modeling of the Hip in the Prediction of Incident Hip Fracture
title Active Shape Modeling of the Hip in the Prediction of Incident Hip Fracture
title_full Active Shape Modeling of the Hip in the Prediction of Incident Hip Fracture
title_fullStr Active Shape Modeling of the Hip in the Prediction of Incident Hip Fracture
title_full_unstemmed Active Shape Modeling of the Hip in the Prediction of Incident Hip Fracture
title_short Active Shape Modeling of the Hip in the Prediction of Incident Hip Fracture
title_sort active shape modeling of the hip in the prediction of incident hip fracture
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3179295/
https://www.ncbi.nlm.nih.gov/pubmed/20878772
http://dx.doi.org/10.1002/jbmr.254
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