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Previously, active shape modelling (ASM) of the proximal femur was shown to identify those individuals at highest risk of developing radiographic OA. Here we determine whether ASM predicts the need for total hip replacement (THR) independent of Kellgren-Lawrence grade (KLG) and other known risk factors.A retrospective cohort study of 141 subjects consulting primary care with new hip pain was conducted. Pelvic radiographs taken on recruitment were assessed for KLG, centre-edge angle, acetabular depth and femoral head migration. Clinical factors (duration of pain, use of a stick and physical function) were collected by self-completed questionnaires. ASM differences between shape mode scores at baseline for individuals who underwent THR during the 5-year follow-up (n = 27) and those whose OA did not progress radiographically (n = 75) were compared.A 1 s.d. reduction in baseline ASM mode 2 score was associated with an 81% reduction in odds of THR (OR = 0.19, 95% CI 0.52, 0.70) after adjustment for KLG, radiographic and clinical factors. A similar reduction in odds of THR was associated with a 1 s.d. reduction in mode 3 (OR = 0.45, 95% CI 0.28, 0.71) and a 1 s.d. increase in mode 4 score (OR = 2.8, 95% CI 1.7, 4.7), although these associations were no longer significant after adjustment for KLG and clinical factors.ASM of the hip joint is a reliable early biomarker of radiographic OA severity, which can improve the ability to identify patients at higher risk of rapid progression and poor outcome even when KLG and clinical risk factors are taken into account.

Original publication

DOI

10.1093/rheumatology/ker382

Type

Journal article

Journal

Rheumatology (Oxford, England)

Publication Date

03/2012

Volume

51

Pages

562 - 570

Addresses

Bone and Musculoskeletal Research Programme, Aberdeen, UK. r.j.barr@abdn.ac.uk

Keywords

Femur Head, Acetabulum, Humans, Arthralgia, Osteoarthritis, Hip, Disease Progression, Arthroplasty, Replacement, Hip, Logistic Models, Risk Factors, Statistics, Nonparametric, Retrospective Studies, Cohort Studies, Longitudinal Studies, Follow-Up Studies, Predictive Value of Tests, Models, Anatomic, Aged, Middle Aged, Female, Male, Biomarkers, Surveys and Questionnaires