Literature DB >> 18240256

Development and validation of a patient-based disease activity score in rheumatoid arthritis that can be used in clinical trials and routine practice.

Ernest H Choy1, Bernadette Khoshaba, Derek Cooper, Alex MacGregor, David L Scott.   

Abstract

OBJECTIVE: Assessor-based disease activity measures such as the Disease Activity Score in 28 joints (DAS28), although widely used in rheumatoid arthritis (RA), have high interobserver variability. We developed and validated a patient-based disease activity score (PDAS) as an alternative assessment.
METHODS: Patients' assessments of swollen or tender joints, visual analog scales for pain and general health, the Health Assessment Questionnaire, and erythrocyte sedimentation rate (ESR) were used to develop the PDAS. In a developmental cohort (204 patients), regression analyses determined the best fit with the DAS28. A validation cohort (322 patients) subsequently evaluated criterion and construct validity against a range of outcome measures, including the Nottingham Health Profile (NHP) and Short Form 36 (SF-36). Sensitivity to change was assessed in 56 patients after 6 months of treatment with disease-modifying antirheumatic drugs or biologics.
RESULTS: In the developmental cohort, the PDAS with ESR (PDAS1) and without ESR (PDAS2) achieved excellent fit with the DAS28 (r = 0.88 and 0.74, respectively). In the validation cohort, the PDAS showed high criterion validity by correlation with the DAS28 (PDAS1: r = 0.89, PDAS2: r = 0.76). Construct validity was demonstrated by high correlations with a range of disease activity measures (r > or = 0.45), whereas low correlations (r < 0.45) with mental and social components of the SF-36 and NHP indicated divergent validity. The PDAS and DAS28 had similar sensitivity to change, determined using effect sizes (DAS28 = 1.03, PDAS1 = 1.02, PDAS2 = 0.77) or standardized response means (DAS28 = 0.79, PDAS1 = 0.77, PDAS2 = 0.73).
CONCLUSION: The PDAS1 and PDAS2 are valid and sensitive tools to assess disease activity in RA. They appear suitable for clinical decision making, epidemiologic research, and clinical trials.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18240256     DOI: 10.1002/art.23342

Source DB:  PubMed          Journal:  Arthritis Rheum        ISSN: 0004-3591


  14 in total

1.  Factors that influence rheumatologists' decisions to escalate care in rheumatoid arthritis: results from a choice-based conjoint analysis.

Authors:  Wietske Kievit; Laura van Hulst; Piet van Riel; Liana Fraenkel
Journal:  Arthritis Care Res (Hoboken)       Date:  2010-06       Impact factor: 4.794

2.  Upswings in Cheerful Mood and Disease Activity in Patients with Rheumatoid Arthritis.

Authors:  Carlos Jesús Delgado-Domínguez; Alejandro Escudero-Contreras; Pilar Font-Ugalde; Desireé Ruiz-Vilchez; Eduardo Collantes-Estévez; Hugo Carretero-Dios
Journal:  Int J Behav Med       Date:  2016-10

Review 3.  [Self-monitoring in inflammatory rheumatic diseases].

Authors:  C Kampling; G Chehab; M Schneider; J G Richter
Journal:  Z Rheumatol       Date:  2014-10       Impact factor: 1.372

4.  The American English version of the validated French Flare Assessment in RA Questionnaire (FLARE-RA).

Authors:  N Barroso; T G Woodworth; D E Furst; F Guillemin; B J Fautrel; N Borazan; S Kafaja; J Brook; D A Elashoff; V K Ranganath
Journal:  Clin Rheumatol       Date:  2019-09-06       Impact factor: 2.980

Review 5.  Systematic review and metaanalysis of patient self-report versus trained assessor joint counts in rheumatoid arthritis.

Authors:  Jennifer L Barton; Lindsey A Criswell; Rachel Kaiser; Yea-Hung Chen; Dean Schillinger
Journal:  J Rheumatol       Date:  2009-11-16       Impact factor: 4.666

6.  Monitoring rheumatoid arthritis using an algorithm based on patient-reported outcome measures: a first step towards personalised healthcare.

Authors:  Jos Hendrikx; Jaap Fransen; Piet L C M van Riel
Journal:  RMD Open       Date:  2015-11-19

7.  Protocol for a randomised controlled trial for Reducing Arthritis Fatigue by clinical Teams (RAFT) using cognitive-behavioural approaches.

Authors:  S Hewlett; N Ambler; C Almeida; P S Blair; E Choy; E Dures; A Hammond; W Hollingworth; J Kirwan; Z Plummer; C Rooke; J Thorn; K Tomkinson; J Pollock
Journal:  BMJ Open       Date:  2015-08-06       Impact factor: 2.692

8.  Impact of a nurse-led programme on comorbidity management and impact of a patient self-assessment of disease activity on the management of rheumatoid arthritis: results of a prospective, multicentre, randomised, controlled trial (COMEDRA).

Authors:  Maxime Dougados; Martin Soubrier; Elodie Perrodeau; Laure Gossec; Françoise Fayet; Mélanie Gilson; Marie-Hélène Cerato; Sophie Pouplin; René-Marc Flipo; Laurent Chabrefy; Gael Mouterde; Liana Euller-Ziegler; Thierry Schaeverbeke; Bruno Fautrel; Alain Saraux; Isabelle Chary-Valckenaere; Gérard Chales; Emmanuelle Dernis; Pascal Richette; Xavier Mariette; Francis Berenbaum; Jean Sibilia; Philippe Ravaud
Journal:  Ann Rheum Dis       Date:  2014-05-28       Impact factor: 19.103

9.  Identifying flares in rheumatoid arthritis: reliability and construct validation of the OMERACT RA Flare Core Domain Set.

Authors:  Vivian P Bykerk; Clifton O Bingham; Ernest H Choy; Daming Lin; Rieke Alten; Robin Christensen; Daniel E Furst; Sarah Hewlett; Amye Leong; Lyn March; Thasia Woodworth; Gilles Boire; Boulos Haraoui; Carol Hitchon; Shahin Jamal; Edward C Keystone; Janet Pope; Diane Tin; J Carter Thorne; Susan J Bartlett
Journal:  RMD Open       Date:  2016-05-26

10.  Systematic review of patient-reported outcome measures (PROMs) for assessing disease activity in rheumatoid arthritis.

Authors:  Jos Hendrikx; Marieke J de Jonge; Jaap Fransen; Wietske Kievit; Piet Lcm van Riel
Journal:  RMD Open       Date:  2016-08-18
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.