Inclusion of Synovial Tissue-Derived Characteristics in a Nomogram for the Prediction of Treatment Response in Treatment-Naive Rheumatoid Arthritis Patients.


Journal

Arthritis & rheumatology (Hoboken, N.J.)
ISSN: 2326-5205
Titre abrégé: Arthritis Rheumatol
Pays: United States
ID NLM: 101623795

Informations de publication

Date de publication:
09 2021
Historique:
received: 17 06 2020
accepted: 04 03 2021
pubmed: 23 3 2021
medline: 21 9 2021
entrez: 22 3 2021
Statut: ppublish

Résumé

This study applied a synovitis score obtained during routine care from ultrasound (US)-guided biopsies of synovial tissue (ST) in patients with rheumatoid arthritis (RA) and patients with other inflammatory and noninflammatory joint diseases to identify pretreatment synovial biomarkers associated with disease characteristics, and to integrate the findings into a multiparameter nomogram for use in baseline prediction of diagnosis and treatment response in treatment-naive rheumatoid arthritis (RA) patients. The study enrolled a total of 1,015 patients with various autoimmune diseases (545 patients with RA, 167 patients with psoriatic arthritis [PsA], 199 patients with undifferentiated peripheral inflammatory arthritis [UPIA], 18 patients with crystal-induced arthritis, 26 patients with connective tissue diseases, and 60 patients with osteoarthritis [OA] [as part of the SYNGem cohort]). All patients underwent a US-guided ST biopsy at baseline, and patients were then stratified according to disease phase. The KSS, along with disease characteristics and clinical outcomes, were incorporated into a nomogram for prediction of achievement of clinical remission in RA patients who were previously naive to treatment. In patients in whom a treat-to-target strategy was applied, remission was defined as change in the Disease Activity Score in 28 joints (DAS28) at 6 months after treatment initiation. The KSS significantly differed among RA patients, as well as PsA patients and UPIA patients, when compared to OA patients. In RA, the KSS directly correlated with the DAS28 and was related to autoantibody positivity in treatment-naive RA patients. Moreover, at baseline, treatment-naive RA patients achieving 6-month remission according to DAS28 had a lower KSS, shorter duration of symptoms (very early RA [VERA]), and lower disease activity than treatment-naive RA patients not achieving remission according to DAS28. Results of logistic regression analysis identified the following synergistic predictive factors of achievement of DAS28-based disease remission at 6 months: having a short disease duration (VERA), not having high disease activity, and having a KSS of <5 at baseline. A nomogram integrating these baseline clinical and histologic characteristics in treatment-naive RA patients yielded an up to 81.7% probability of achieving 6-month remission according to the DAS28. The KSS is a reliable tool for synovitis assessment on US-guided ST biopsy, contingent on the phase of the disease and the autoimmune profile of each patient. This tool could be integrated within a therapeutic response-predictive nomogram for the prediction of treatment response in RA patients who were previously naive to treatment.

Identifiants

pubmed: 33750008
doi: 10.1002/art.41726
pmc: PMC8457106
doi:

Substances chimiques

Antirheumatic Agents 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1601-1613

Informations de copyright

© 2021 The Authors. Arthritis & Rheumatology published by Wiley Periodicals LLC on behalf of American College of Rheumatology.

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Auteurs

Stefano Alivernini (S)

Fondazione Policlinico Universitario Agostino Gemelli, IRCCS, and Università Cattolica del Sacro Cuore, Rome, Italy.

Barbara Tolusso (B)

Fondazione Policlinico Universitario Agostino Gemelli, IRCCS, Rome, Italy.

Marco Gessi (M)

Fondazione Policlinico Universitario Agostino Gemelli, IRCCS, Rome, Italy.

Maria Rita Gigante (MR)

Fondazione Policlinico Universitario Agostino Gemelli, IRCCS, Rome, Italy.

Alice Mannocci (A)

Sapienza University of Rome, Rome, Italy.

Luca Petricca (L)

Fondazione Policlinico Universitario Agostino Gemelli, IRCCS, Rome, Italy.

Simone Perniola (S)

Fondazione Policlinico Universitario Agostino Gemelli, IRCCS, Rome, Italy, and University of Verona, Verona, Italy.

Clara Di Mario (C)

Università Cattolica del Sacro Cuore, Rome, Italy.

Laura Bui (L)

Fondazione Policlinico Universitario Agostino Gemelli, IRCCS, Rome, Italy.

Anna Laura Fedele (AL)

Fondazione Policlinico Universitario Agostino Gemelli, IRCCS, Rome, Italy.

Annunziata Capacci (A)

Fondazione Policlinico Universitario Agostino Gemelli, IRCCS, Rome, Italy.

Dario Bruno (D)

Università Cattolica del Sacro Cuore, Rome, Italy.

Giusy Peluso (G)

Fondazione Policlinico Universitario Agostino Gemelli, IRCCS, Rome, Italy.

Giuseppe La Torre (G)

Sapienza University of Rome, Rome, Italy.

Francesco Federico (F)

Fondazione Policlinico Universitario Agostino Gemelli, IRCCS, Rome, Italy.

Gianfranco Ferraccioli (G)

Università Cattolica del Sacro Cuore, Rome, Italy.

Elisa Gremese (E)

Fondazione Policlinico Universitario Agostino Gemelli, IRCCS, and Università Cattolica del Sacro Cuore, Rome, Italy.

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Classifications MeSH