Trajectory analysis combining pain and physical function in individuals with knee and hip osteoarthritis: results from the French KHOALA cohort

Author:

Wieczorek Maud1ORCID,Rotonda Christine1,Coste Joël2,Pouchot Jacques3,Saraux Alain45ORCID,Guillemin Francis16,Rat Anne-Christine17ORCID

Affiliation:

1. EA4360 Apemac, Université de Lorraine, Nancy

2. Biostatistics and Epidemiology Unit, Assistance Publique-Hôpitaux de Paris, Hôtel Dieu, Paris

3. Department of Internal Medicine, Assistance Publique-Hôpitaux de Paris, European Georges Pompidou Hospital, Paris

4. Rheumatology Department, Centre National de Référence des Maladies Auto-Immunes Rares (CERAINO), Cavale Blanche University Hospital, Brest

5. UMR 1227, Lymphocytes B et Autoimmunité, Université de Brest, Inserm, CHU, Brest, LabEx IGO, Brest

6. ICIC-1433 Epidémiologie Clinique, CHRU Nancy, Université de Lorraine, Inserm, Nancy

7. Department of Rheumatology, CHU Caen, Caen, France

Abstract

Abstract Objectives The aims of this study were to identify homogeneous subgroups of knee and/or hip OA patients with distinct trajectories of the combination of pain and physical function (PF) over time and to determine the baseline factors associated with these trajectories. Methods We used data from the Knee and Hip Osteoarthritis Long-term Assessment (KHOALA) cohort, a French population-based cohort of 878 patients with symptomatic knee and/or hip OA. Pain and PF were measured annually over 5 years with the Medical Outcomes Study Short Form 36 questionnaire. First, trajectory models were estimated with varying numbers of groups for each of the outcomes separately then fitted into a multi-trajectory model. We used multinomial logistic regression to determine the baseline characteristics associated with each trajectory. Results Univariate four-class models were identified as most appropriate for pain and PF. Comparison of separate trajectories showed that 41% of patients included in the severe functional limitations trajectory did not belong to the more severe pain trajectory (Cramér’s V statistic = 0.45). Group-based multi-trajectory modelling revealed four distinct trajectories of pain and PF. On multivariate analyses, female sex, older age, high Kellgren grade, low physical activity intensity, low psychosocial distress score (high distress) and low vitality score were associated with the more severe symptoms trajectory. Conclusion Over 5 years, we identified four distinct trajectories combining pain and PF. Management of weight, fatigue and psychosocial distress and the practice of physical activity seem important to maintain function and limit pain in patients with lower-limb OA.

Funder

INSERM, CHRU de Nancy, Conseil Régional de Lorraine

Publisher

Oxford University Press (OUP)

Subject

Pharmacology (medical),Rheumatology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3