Patterns of comorbidities differentially affect long-term functional evolution and disease activity in patients with 'difficult to treat' rheumatoid arthritis.

Outcome Assessment, Health Care Patient Reported Outcome Measures Rheumatoid Arthritis

Journal

RMD open
ISSN: 2056-5933
Titre abrégé: RMD Open
Pays: England
ID NLM: 101662038

Informations de publication

Date de publication:
19 Jan 2024
Historique:
received: 14 10 2023
accepted: 04 01 2024
medline: 20 1 2024
pubmed: 20 1 2024
entrez: 19 1 2024
Statut: epublish

Résumé

Characterisation of the long-term outcome of patients with 'difficult to treat' (D2T) rheumatoid arthritis and factors contributing to its evolution are unknown. Herein, we explored the heterogeneity and contributing factors of D2T long-term outcome. Patients included from a prospective single centre cohort study. The EULAR definition of D2T was applied. Longitudinal clustering of functional status (modified Health Assessment Questionnaire (mHAQ)) and disease activity (Disease Activity Score-28 (DAS28)) were assessed using latent-class trajectory analysis. Multiple linear mixed models were used to examine the impact of comorbidities and their clusters on the long-term outcome. 251 out of 1264 patients (19.9%) were identified as D2T. Younger age, fibromyalgia, osteoarthritis, DAS28-erythrocyte sedimentation rate (ESR) at first biological or targeted synthetic disease-modifying antirheumatic drug (b/ts-DMARD) initiation and failure to reduce DAS28-ESR scores within the first 6 months of b/ts-DMARD therapy were significant predictors of patients becoming D2T. Long-term follow-up (total of 5872 person-years) revealed four groups of functional status evolution: 18.2% had stable, mildly compromised mHAQ (mean 0.41), 39.9% had gradual improvement (1.21-0.87) and two groups had either slow deterioration or stable significant functional impairment (HAQ>1). Similarly, four distinct groups of disease activity evolution were identified. Among the different clusters of comorbidities assessed, presence of 'mental-health and pain-related illnesses' or 'metabolic diseases' had significant contribution to mHAQ worsening (p<0.0001 for both) and DAS28 evolution (p<0.0001 and p=0.018, respectively). D2T patients represent a heterogeneous group in terms of long-term disease course. Mental-health/pain-related illnesses as well as metabolic diseases contribute to long-term adverse outcomes and should be targeted in order to optimise the prognosis of this subset of rheumatoid arthritis.

Sections du résumé

BACKGROUND BACKGROUND
Characterisation of the long-term outcome of patients with 'difficult to treat' (D2T) rheumatoid arthritis and factors contributing to its evolution are unknown. Herein, we explored the heterogeneity and contributing factors of D2T long-term outcome.
METHODS METHODS
Patients included from a prospective single centre cohort study. The EULAR definition of D2T was applied. Longitudinal clustering of functional status (modified Health Assessment Questionnaire (mHAQ)) and disease activity (Disease Activity Score-28 (DAS28)) were assessed using latent-class trajectory analysis. Multiple linear mixed models were used to examine the impact of comorbidities and their clusters on the long-term outcome.
RESULTS RESULTS
251 out of 1264 patients (19.9%) were identified as D2T. Younger age, fibromyalgia, osteoarthritis, DAS28-erythrocyte sedimentation rate (ESR) at first biological or targeted synthetic disease-modifying antirheumatic drug (b/ts-DMARD) initiation and failure to reduce DAS28-ESR scores within the first 6 months of b/ts-DMARD therapy were significant predictors of patients becoming D2T. Long-term follow-up (total of 5872 person-years) revealed four groups of functional status evolution: 18.2% had stable, mildly compromised mHAQ (mean 0.41), 39.9% had gradual improvement (1.21-0.87) and two groups had either slow deterioration or stable significant functional impairment (HAQ>1). Similarly, four distinct groups of disease activity evolution were identified. Among the different clusters of comorbidities assessed, presence of 'mental-health and pain-related illnesses' or 'metabolic diseases' had significant contribution to mHAQ worsening (p<0.0001 for both) and DAS28 evolution (p<0.0001 and p=0.018, respectively).
CONCLUSION CONCLUSIONS
D2T patients represent a heterogeneous group in terms of long-term disease course. Mental-health/pain-related illnesses as well as metabolic diseases contribute to long-term adverse outcomes and should be targeted in order to optimise the prognosis of this subset of rheumatoid arthritis.

Identifiants

pubmed: 38242549
pii: rmdopen-2023-003808
doi: 10.1136/rmdopen-2023-003808
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

Auteurs

Antonios Bertsias (A)

Rheumatology, Clinical Immunology and Allergy Department, School of Medicine, University of Crete, Heraklion, Crete, Greece.

Irini D Flouri (ID)

Rheumatology, Clinical Immunology and Allergy Department, School of Medicine, University of Crete, Heraklion, Crete, Greece.

Argyro Repa (A)

Rheumatology, Clinical Immunology and Allergy Department, School of Medicine, University of Crete, Heraklion, Crete, Greece.

Nestor Avgoustidis (N)

Rheumatology, Clinical Immunology and Allergy Department, School of Medicine, University of Crete, Heraklion, Crete, Greece.

Eleni Kalogiannaki (E)

Rheumatology, Clinical Immunology and Allergy Department, School of Medicine, University of Crete, Heraklion, Crete, Greece.

Sofia Pitsigavdaki (S)

Rheumatology, Clinical Immunology and Allergy Department, School of Medicine, University of Crete, Heraklion, Crete, Greece.

George Bertsias (G)

Rheumatology, Clinical Immunology and Allergy Department, School of Medicine, University of Crete, Heraklion, Crete, Greece.
Laboratory of Autoimmunity-Inflammation, Institute of Molecular Biology and Biotechnology, Heraklion, Crete, Greece.

Prodromos Sidiropoulos (P)

Rheumatology, Clinical Immunology and Allergy Department, School of Medicine, University of Crete, Heraklion, Crete, Greece sidiropp@uoc.gr.
Laboratory of Autoimmunity-Inflammation, Institute of Molecular Biology and Biotechnology, Heraklion, Crete, Greece.

Classifications MeSH