Literature DB >> 27992684

Hip Shape as a Predictor of Osteoarthritis Progression in a Prospective Population Cohort.

Harbeer G Ahedi1, Richard M Aspden2, Leigh C Blizzard1, Fiona R Saunders2, Flavia M Cicuttini3, Dawn A Aitken1, Graeme Jones1, Jennifer S Gregory2.   

Abstract

OBJECTIVE: Hip morphology plays a significant role in the incidence and progression of hip osteoarthritis (OA). We hypothesized that hip shape would also be associated with other key factors and tested this in a longitudinal community-based cohort combining radiographic, magnetic resonance imaging (MRI), dual-energy x-ray absorptiometry (DXA), and clinical data.
METHODS: Baseline DXA images of the left hip of 831 subjects from the Tasmanian Older Adult Cohort were analyzed using an 85-point statistical shape model. Hip pain was assessed using the Western Ontario and McMaster Universities Osteoarthritis Index, and muscle strength was measured using a dynamometer. Hip structural changes were assessed using MRI and radiographic OA using plain radiographs.
RESULTS: Six shape modes accounted for 68% of shape variation. At baseline, modes 1, 2, 4, and 6 were associated with radiographic hip OA; modes 1, 3, 4, and 6 were correlated with hip cartilage volume; and all except mode 2 were correlated with muscle strength. Higher mode 1 and lower mode 3 and mode 6 scores at baseline predicted hip pain at followup and higher mode 1 and mode 2 scores were associated with hip effusion-synovitis. Higher scores for mode 2 (decreasing acetabular coverage) and lower scores for mode 4 (nonspherical femoral head) at baseline predicted 10-year total hip replacement (THR), while mode 4 alone was correlated with bone marrow lesions (BMLs), effusion-synovitis, and increased cartilage signal.
CONCLUSION: Hip shape is associated with radiographic OA, THR, hip pain, effusion-synovitis, BMLs, muscle strength, and hip structural changes. These data suggest that different shape modes reflect multiple facets of hip OA.
© 2017, American College of Rheumatology.

Entities:  

Mesh:

Year:  2017        PMID: 27992684     DOI: 10.1002/acr.23166

Source DB:  PubMed          Journal:  Arthritis Care Res (Hoboken)        ISSN: 2151-464X            Impact factor:   4.794


  15 in total

1.  Patient Age and Hip Morphology Alter Joint Mechanics in Computational Models of Patients With Hip Dysplasia.

Authors:  Holly D Thomas-Aitken; Jessica E Goetz; Kevin N Dibbern; Robert W Westermann; Michael C Willey; Timothy S Brown
Journal:  Clin Orthop Relat Res       Date:  2019-05       Impact factor: 4.176

2.  Is Internal Rotation Measurement of the Hip Useful for Ruling in Cam or Pincer Morphology in Asymptomatic Males? A Diagnostic Accuracy Study.

Authors:  Roger Hilfiker; Marc Hunkeler; Andreas Limacher; Michael Leunig; Harald Bonel; Matthias Egger; Peter Jüni; Stephan Reichenbach
Journal:  Clin Orthop Relat Res       Date:  2022-06-13       Impact factor: 4.755

3.  Prediction of femoral head coverage from articulated statistical shape models of patients with developmental dysplasia of the hip.

Authors:  Penny R Atkins; Praful Agrawal; Joseph D Mozingo; Keisuke Uemura; Kunihiko Tokunaga; Christopher L Peters; Shireen Y Elhabian; Ross T Whitaker; Andrew E Anderson
Journal:  J Orthop Res       Date:  2021-12-05       Impact factor: 3.102

4.  The importance of hip shape in predicting hip osteoarthritis.

Authors:  Amanda E Nelson
Journal:  Curr Treatm Opt Rheumatol       Date:  2018-04-10

5.  DXA-derived hip shape is related to osteoarthritis: findings from in the MrOS cohort.

Authors:  B G Faber; D Baird; C L Gregson; J S Gregory; R J Barr; R M Aspden; J Lynch; M C Nevitt; N E Lane; E Orwoll; J H Tobias
Journal:  Osteoarthritis Cartilage       Date:  2017-09-21       Impact factor: 6.576

6.  Identification of Novel Loci Associated With Hip Shape: A Meta-Analysis of Genomewide Association Studies.

Authors:  Denis A Baird; Daniel S Evans; Frederick K Kamanu; Jennifer S Gregory; Fiona R Saunders; Claudiu V Giuraniuc; Rebecca J Barr; Richard M Aspden; Deborah Jenkins; Douglas P Kiel; Eric S Orwoll; Steven R Cummings; Nancy E Lane; Benjamin H Mullin; Frances Mk Williams; J Brent Richards; Scott G Wilson; Tim D Spector; Benjamin G Faber; Deborah A Lawlor; Elin Grundberg; Claes Ohlsson; Ulrika Pettersson-Kymmer; Terence D Capellini; Daniel Richard; Thomas J Beck; David M Evans; Lavinia Paternoster; David Karasik; Jonathan H Tobias
Journal:  J Bone Miner Res       Date:  2018-11-26       Impact factor: 6.741

7.  Age at Onset of Walking in Infancy Is Associated With Hip Shape in Early Old Age.

Authors:  Alex Ireland; Fiona R Saunders; Stella G Muthuri; Anastasia V Pavlova; Rebecca J Hardy; Kathryn R Martin; Rebecca J Barr; Judith E Adams; Diana Kuh; Richard M Aspden; Jennifer S Gregory; Rachel Cooper
Journal:  J Bone Miner Res       Date:  2019-01-15       Impact factor: 6.741

8.  Quantification of hip effusion-synovitis and its cross-sectional and longitudinal associations with hip pain, MRI findings and early radiographic hip OA.

Authors:  Harbeer Ahedi; Dawn Aitken; Leigh Blizzard; Flavia Cicuttini; Graeme Jones
Journal:  BMC Musculoskelet Disord       Date:  2020-08-10       Impact factor: 2.362

9.  The role of Gdf5 regulatory regions in development of hip morphology.

Authors:  Ata M Kiapour; Jiaxue Cao; Mariel Young; Terence D Capellini
Journal:  PLoS One       Date:  2018-11-02       Impact factor: 3.240

10.  Describing the application of statistical shape modelling to DXA images to quantify the shape of the proximal femur at ages 14 and 18 years in the Avon Longitudinal Study of Parents and Children.

Authors:  Monika Frysz; Jenny S Gregory; Richard M Aspden; Lavinia Paternoster; Jonathan H Tobias
Journal:  Wellcome Open Res       Date:  2019-08-27
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.