Comorbidity burden in the first three years after diagnosis in patients with rheumatoid arthritis, psoriatic arthritis or spondyloarthritis

Autor: Kristien Van der Elst, Veerle Stouten, Diederik De Cock, D. Bertrand, Kurt de Vlam, Rene Westhovens, Pavlos Mamouris, Patrick Verschueren, S. Pazmino, Bert Vaes
Přispěvatelé: Public Health Sciences
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: RMD Open
RMD Open, Vol 7, Iss 2 (2021)
DOI: 10.1136/rmdopen-2021-001671
Popis: ObjectivesRheumatoid arthritis (RA), psoriatic arthritis (PsA) and spondyloarthritis (SpA) are chronic inflammatory rheumatic conditions with high levels of comorbidity requiring additional therapeutic attention. We aimed to compare the 3-year comorbidity incidence and pain medication prescription in patients diagnosed with RA, PsA or SpA versus controls.MethodsData between 1999 and 2012 were obtained from Intego, a general practitioner (GP) morbidity registry in Flanders, Belgium. Cases were identified by International Classification of Primary Care (ICPC-2) codes representing ‘rheumatoid/seropositive arthritis (L88)’ or ‘musculoskeletal disease other (L99)’. The registered keywords mapped to these ICPC-2 codes were further verified and mapped to a RA/SpA/PsA diagnosis. Controls were matched on age, gender, GP practice and diagnosis date. We analysed the 3-year comorbidity burden in cases and controls, measured by the Rheumatic Diseases Comorbidity Index (RDCI). All electronically GP-prescribed drugs were registered.ResultsIn total, 738, 229 and 167 patients were included with a diagnosis of RA, SpA or PsA, respectively. Patients with RA or PsA had comparable median RDCI scores at baseline, but higher scores at year 3 compared with controls (RA: p=0.010; PsA: p=0.008). At baseline, depression was more prevalent in PsA patients vs controls (pConclusionsThis study highlights the increasing comorbidity burden of patients with chronic inflammatory rheumatic conditions, especially for individuals with RA or PsA. The high opioid use in all populations was remarkable.
Databáze: OpenAIRE