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Development of a novel clinimetric tool: PAtient Reported Disease Activity Index in Rheumatoid Arthritis (PARDAI-RA) by PANLAR, for the assessment of patients living with rheumatoid arthritis

  • Daniel G. Fernández-Ávila(corresponding author)
    ,
  • Daniela Patiño-Hernández
    ,
  • Socorro Moreno-Luna
    ,
  • Lorena Brance
    ,
  • Álvaro Arbeláez
    ,
  • Antonio Cachafeiro Vilar
*Corresponding author for this work
  • Hospital Universitario San Ignacio
    ,
  • Universidad Javeriana
    ,
  • Universidad Nacional de Rosario
    ,
  • Clínica Imbanaco QuirónSalud
    ,
  • Pacífica Salud
    ,
  • University of Miami
Research Output:
Contribution to journal
Article
Peer-review

Open access

Publication Information

Output type

Research Output:
Contribution to journal
Article
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 1277-1285 (9 pages)

Journal (Volume, Issue Number)

Clinical Rheumatology (Volume 43, Issue 4)

Publication milestones

  • Accepted/In press - 2024
  • Published - 04/2024

Publication status

Published - 04/2024

ISSN

0770-3198

Publication IDs

  • Scopus: 85185131291

Abstract

Background: Clinical experience has shown that a single measure is not sufficient to assess disease activity in rheumatoid arthritis (RA). Various clinimetric tools are necessary to address the many clinical situations that can arise. Methods: In order to develop a comprehensive measurement tool, the Pan American League of Associations for Rheumatology searched for the most frequent measures of disease activity applied in RA by means of a semi-systematic review of the available literature. Results: We found that the most frequently reported measures of disease activity were the 28-joint Disease Activity Score, C-reactive protein, and the erythrocyte sedimentation rate, followed by patient-reported measures of pain and stiffness and many other composite indices and patient-reported outcome measures. The most frequent physician-reported sign of disease was the swollen joint count, and the most frequently self-reported feature was the increase in disease activity or flares. Conclusion: In this article, we present a new clinimetric tool developed based on expert consensus and on data retrieved from our search. Disease activity can be better assessed by combining various data sources, such as clinical, laboratory, and self-reported outcomes. These variables were included in our novel clinimetric tool. (Table presented.)