TY - JOUR
T1 - Comorbidities in osteoarthritis (ComOA)
T2 - a combined cross-sectional, case-control and cohort study using large electronic health records in four European countries
AU - Swain, Subhashisa
AU - Kamps, Anne
AU - Runhaar, Jos
AU - Dell'isola, Andrea
AU - Turkiewicz, Aleksandra
AU - Robinson, Danielle
AU - Strauss, V.
AU - Mallen, Christian
AU - Kuo, Chang Fu
AU - Coupland, Carol
AU - Doherty, Michael
AU - Sarmanova, Aliya
AU - Prieto-Alhambra, Daniel
AU - Englund, Martin
AU - Bierma-Zeinstra, Sita M.A.
AU - Zhang, Weiya
PY - 2022/4/6
Y1 - 2022/4/6
N2 - Introduction Osteoarthritis (OA) is one of the leading chronic conditions in the older population. People with OA are more likely to have one or more other chronic conditions than those without. However, the temporal associations, clusters of the comorbidities, role of analgesics and the causality and variation between populations are yet to be investigated. This paper describes the protocol of a multinational study in four European countries (UK, Netherlands, Sweden and Spain) exploring comorbidities in people with OA. Methods and analysis This multinational study will investigate (1) the temporal associations of 61 identified comorbidities with OA, (2) the clusters and trajectories of comorbidities in people with OA, (3) the role of analgesics on incidence of comorbidities in people with OA, (4) the potential biomarkers and causality between OA and the comorbidities, and (5) variations between countries. A combined case-control and cohort study will be conducted to find the temporal association of OA with the comorbidities using the national or regional health databases. Latent class analysis will be performed to identify the clusters at baseline and joint latent class analysis will be used to examine trajectories during the follow-up. A cohort study will be undertaken to evaluate the role of non-steroidal anti-inflammatory drugs (NSAIDs), opioids and paracetamol on the incidence of comorbidities. Mendelian randomisation will be performed to investigate the potential biomarkers for causality between OA and the comorbidities using the UK Biobank and the Rotterdam Study databases. Finally, a meta-analyses will be used to examine the variations and pool the results from different countries. Ethics and dissemination Research ethics was obtained according to each database requirement. Results will be disseminated through the FOREUM website, scientific meetings, publications and in partnership with patient organisations.
AB - Introduction Osteoarthritis (OA) is one of the leading chronic conditions in the older population. People with OA are more likely to have one or more other chronic conditions than those without. However, the temporal associations, clusters of the comorbidities, role of analgesics and the causality and variation between populations are yet to be investigated. This paper describes the protocol of a multinational study in four European countries (UK, Netherlands, Sweden and Spain) exploring comorbidities in people with OA. Methods and analysis This multinational study will investigate (1) the temporal associations of 61 identified comorbidities with OA, (2) the clusters and trajectories of comorbidities in people with OA, (3) the role of analgesics on incidence of comorbidities in people with OA, (4) the potential biomarkers and causality between OA and the comorbidities, and (5) variations between countries. A combined case-control and cohort study will be conducted to find the temporal association of OA with the comorbidities using the national or regional health databases. Latent class analysis will be performed to identify the clusters at baseline and joint latent class analysis will be used to examine trajectories during the follow-up. A cohort study will be undertaken to evaluate the role of non-steroidal anti-inflammatory drugs (NSAIDs), opioids and paracetamol on the incidence of comorbidities. Mendelian randomisation will be performed to investigate the potential biomarkers for causality between OA and the comorbidities using the UK Biobank and the Rotterdam Study databases. Finally, a meta-analyses will be used to examine the variations and pool the results from different countries. Ethics and dissemination Research ethics was obtained according to each database requirement. Results will be disseminated through the FOREUM website, scientific meetings, publications and in partnership with patient organisations.
KW - EPIDEMIOLOGY
KW - Musculoskeletal disorders
KW - RHEUMATOLOGY
U2 - 10.1136/bmjopen-2021-052816
DO - 10.1136/bmjopen-2021-052816
M3 - Article
C2 - 35387809
AN - SCOPUS:85127621323
SN - 2044-6055
VL - 12
JO - BMJ Open
JF - BMJ Open
IS - 4
M1 - e052816
ER -