Literature DB >> 26854794

Defining hip pain trajectories in early symptomatic hip osteoarthritis--5 year results from a nationwide prospective cohort study (CHECK).

A N Bastick1, S P J Verkleij2, J Damen3, J Wesseling4, W K H A Hilberdink5, P J E Bindels6, S M A Bierma-Zeinstra7.   

Abstract

OBJECTIVE: To define distinct hip pain trajectories in individuals with early symptomatic hip osteoarthritis (OA) and to determine risk factors for these pain trajectories.
METHOD: Data were obtained from the nationwide prospective Cohort Hip and Cohort Knee (CHECK) study. Participants with hip pain or stiffness and a completed 5-year follow-up were included. Baseline demographic, anamnestic, physical examination characteristics were assessed. Outcome was annually assessed by the Numeric Rating Scale (NRS) for pain. Pain trajectories were retrieved by latent class growth analysis (LCGA). Multinomial logistic regression was used to calculate risk ratios.
RESULTS: 545 participants were included. Four distinct pain trajectories were uncovered by LCGA. We found significant differences in baseline characteristics, including body mass index (BMI); symptom severity; pain coping strategies and in criteria for clinical hip OA (American College of Rheumatology (ACR)). Lower education, higher activity limitation scores, frequent use of pain transformation as coping strategy and painful internal hip rotation were more often associated with trajectories characterized by more severe pain. No association was found for baseline radiographic features.
CONCLUSION: We defined four distinct pain trajectories over 5 years follow-up in individuals with early symptomatic hip OA, suggesting there are differences in symptomatic progression of hip OA. Baseline radiographic severity was not associated with the pain trajectories. Future research should be aimed at measuring symptomatic progression of hip OA with even more frequent symptom assessment.
Copyright © 2016 Osteoarthritis Research Society International. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Hip osteoarthritis; Hip pain; Pain trajectories; Prediction

Mesh:

Year:  2016        PMID: 26854794     DOI: 10.1016/j.joca.2015.11.023

Source DB:  PubMed          Journal:  Osteoarthritis Cartilage        ISSN: 1063-4584            Impact factor:   6.576


  5 in total

1.  Modeling and predicting osteoarthritis progression: data from the osteoarthritis initiative.

Authors:  E Halilaj; Y Le; J L Hicks; T J Hastie; S L Delp
Journal:  Osteoarthritis Cartilage       Date:  2018-08-18       Impact factor: 6.576

2.  General and disease-specific pain trajectories as predictors of social and political outcomes in arthritis and cancer.

Authors:  Richard J E James; David A Walsh; Eamonn Ferguson
Journal:  BMC Med       Date:  2018-04-09       Impact factor: 8.775

3.  Prognostic factors for progression of osteoarthritis of the hip: a systematic review.

Authors:  C H Teirlinck; D M J Dorleijn; P K Bos; J B M Rijkels-Otters; S M A Bierma-Zeinstra; P A J Luijsterburg
Journal:  Arthritis Res Ther       Date:  2019-08-23       Impact factor: 5.156

Review 4.  Effects of physical exercise and body weight on disease-specific outcomes of people with rheumatic and musculoskeletal diseases (RMDs): systematic reviews and meta-analyses informing the 2021 EULAR recommendations for lifestyle improvements in people with RMDs.

Authors:  James M Gwinnutt; Maud Wieczorek; Giulio Cavalli; Andra Balanescu; Heike A Bischoff-Ferrari; Annelies Boonen; Savia de Souza; Annette de Thurah; Thomas E Dorner; Rikke Helene Moe; Polina Putrik; Javier Rodríguez-Carrio; Lucía Silva-Fernández; Tanja Stamm; Karen Walker-Bone; Joep Welling; Mirjana I Zlatković-Švenda; Francis Guillemin; Suzanne M M Verstappen
Journal:  RMD Open       Date:  2022-03

5.  Effects of Hip Bracing on Gait Biomechanics, Pain and Function in Subjects With Mild to Moderate Hip Osteoarthritis.

Authors:  Hannah Steingrebe; Bernd J Stetter; Stefan Sell; Thorsten Stein
Journal:  Front Bioeng Biotechnol       Date:  2022-07-11
  5 in total

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