S. Swain
OP0074 MULTIMORBIDITY CLUSTERS, DETERMINANTS AND TRAJECTORIES IN OSTEOARTHRITIS IN THE UK: FINDINGS FROM THE CLINICAL PRACTICE RESEARCH DATALINK
Swain, S.; Coupland, C.; Strauss, V.; Mallen, C.; Kuo, C.F.; Sarmanova, A.; Doherty, M.; Zhang, W.
Authors
C. Coupland
V. Strauss
Christian Mallen c.d.mallen@keele.ac.uk
C.F. Kuo
A. Sarmanova
M. Doherty
W. Zhang
Abstract
Background:
Multimorbidity (≥2 chronic conditions) escalates the risk of adverse health outcomes. However, its burden in people with osteoarthritis (OA) remains largely unknown.
Objectives:
To identify the clusters of patients with multimorbidity and associated factors in OA and non-OA populations and to estimate the risk of developing multimorbidity clusters after the index date (after diagnosis).
Methods:
The study used the Clinical Practice Research Datalink – a primary care database from the UK. Firstly, age, sex and practice matched OA and non-OA people aged 20+ were identified to explore patterns and associations of clusters of multimorbidity within each group. Non-OA controls were assigned with same index date as that of matched OA cases. Secondly, multimorbidity trajectories for 20 years after the index date were examined in people without any comorbidities at baseline in both OA and non-OA groups. Latent class analysis was used to identify clusters and latent class growth modelling was used for cluster trajectories. The associations between clusters and age, sex, body mass index (BMI), alcohol use, smoking habits at baseline were quantified through multinomial logistic regression.
Results:
In total, 47 long-term conditions were studied in 443,822 people (OA- 221922; non-OA- 221900), with a mean age of 62 years (standard deviation ± 13 years), and 58% being women. The prevalence of multimorbidity was 76.6% and 68.9% in the OA and non-OA groups, respectively. In the OA group five clusters were identified including relatively healthy (18%), 'cardiovascular (CVD) and musculoskeletal (MSK)' (12.3%), metabolic syndrome (28.2%), 'pain and psychological (9.1%), and 'musculoskeletal' (32.4%). The non-OA group had similar patterns except that the ‘pain+ psychological’ cluster was replaced by ‘thyroid and psychological’. (Figure 1) Among people with OA, ‘CVD+MSK’ and metabolic syndrome clusters were strongly associated with obesity with a relative risk ratio (RRR) of 2.04 (95% CI 1.95-2.13) and 2.10 (95% CI 2.03-2.17), respectively. Women had four times higher risk of being in the ‘pain+ psychological’ cluster than men when compared to the gender ratio in the healthy cluster, (RRR 4.28; 95% CI 4.09-4.48). In the non-OA group, obesity was significantly associated with all the clusters.
OA (n=24139) and non-OA (n=24144) groups had five and four multimorbidity trajectory clusters, respectively. Among the OA population, 2.7% had rapid onset of multimorbidity, 9.5% had gradual onset and 11.6% had slow onset, whereas among the non-OA population, there was no rapid onset cluster, 4.6% had gradual onset and 14.3% had slow onset of multimorbidity. (Figure 2)
Conclusion:
Distinct identified groups in OA and non-OA suggests further research for possible biological linkage within each cluster. The rapid onset of multimorbidity in OA should be considered for chronic disease management.
Citation
Swain, S., Coupland, C., Strauss, V., Mallen, C., Kuo, C., Sarmanova, A., …Zhang, W. (in press). OP0074 MULTIMORBIDITY CLUSTERS, DETERMINANTS AND TRAJECTORIES IN OSTEOARTHRITIS IN THE UK: FINDINGS FROM THE CLINICAL PRACTICE RESEARCH DATALINK. Annals of the Rheumatic Diseases, 79, 49-50. https://doi.org/10.1136/annrheumdis-2020-eular.1488
Journal Article Type | Meeting Abstract |
---|---|
Conference Name | EULAR 2020 |
Conference Location | online |
Acceptance Date | Jun 1, 2020 |
Online Publication Date | Jan 3, 2025 |
Deposit Date | Jan 15, 2025 |
Journal | Annals of the Rheumatic Diseases |
Print ISSN | 0003-4967 |
Publisher | BMJ Publishing Group |
Peer Reviewed | Peer Reviewed |
Volume | 79 |
Pages | 49-50 |
DOI | https://doi.org/10.1136/annrheumdis-2020-eular.1488 |
Public URL | https://keele-repository.worktribe.com/output/1046532 |
Publisher URL | https://www.sciencedirect.com/science/article/abs/pii/S0003496724666604 |
You might also like
Downloadable Citations
About Keele Repository
Administrator e-mail: research.openaccess@keele.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search