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Bugatti S, De Stefano L, D'Onofrio B, Nicrosini A, Mauric E, di Lernia M, Sakellariou G, Favalli EG, Manzo A, Caporali R, Montecucco C. Inflammatory correlates of the Patient Global Assessment of Disease Activity vary in relation to disease duration and autoantibody status in patients with rheumatoid arthritis. Ann Rheum Dis 2022; 81:1206-1213. [PMID: 35623639 DOI: 10.1136/annrheumdis-2022-222436] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Accepted: 05/16/2022] [Indexed: 11/04/2022]
Abstract
OBJECTIVE To investigate the associations between the Patient Global Assessment (PGA) and measures of disease activity in patients with rheumatoid arthritis (RA) in relation to disease duration and autoantibody status. METHODS 1412 patients from three independent cohorts were studied: a prospective cohort of 810 patients with early RA followed up for 24 months; a cross-sectional cohort of 210 patients with established RA in low disease activity; a cross-sectional cohort of 401 patients with established RA in moderate-to-high disease activity. Correlations of the PGA were analysed by Pearson's coefficients and multivariable linear regression at baseline and at months 6, 12 and 24 in the overall populations and after stratification for autoantibody subgroup and remission status (Boolean remission, PGA near remission and non-remission). RESULTS In patients with early RA in non-remission, swollen joints correlated independently with the PGA; the correlation became progressively weaker but persisted at all time points in autoantibody-positive patients (adjusted r=0.30-0.12) but lost significance after month 12 in autoantibody-negative patients. Swollen joints independently correlated with the PGA also in near remission until month 12 (adjusted r=0.18-0.16) in autoantibody-positive patients. No independent correlations of inflammatory variables were instead found in patients with established RA irrespective of disease activity and autoantibody status. CONCLUSIONS In the early phases of RA, particularly in autoantibody-positive patients, inflammatory variables directly correlate with the PGA across different disease activity states. The optimal cut-off values of the PGA capable of identifying absence of disease should be better explored in relation to disease duration and autoantibody status.
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Affiliation(s)
- Serena Bugatti
- Division of Rheumatology, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
- Department of Internal Medicine and Therapeutics, Università di Pavia, Pavia, Italy
| | - Ludovico De Stefano
- Division of Rheumatology, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
- Department of Internal Medicine and Therapeutics, Università di Pavia, Pavia, Italy
| | - Bernardo D'Onofrio
- Division of Rheumatology, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
- Department of Internal Medicine and Therapeutics, Università di Pavia, Pavia, Italy
| | - Andrea Nicrosini
- Division of Rheumatology, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
- Department of Internal Medicine and Therapeutics, Università di Pavia, Pavia, Italy
| | - Eleonora Mauric
- Division of Rheumatology, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
- Department of Internal Medicine and Therapeutics, Università di Pavia, Pavia, Italy
| | - Michele di Lernia
- Division of Rheumatology, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
- Department of Internal Medicine and Therapeutics, Università di Pavia, Pavia, Italy
| | - Garifallia Sakellariou
- Department of Internal Medicine and Therapeutics, Università di Pavia, Pavia, Italy
- Maugeri Clinical Research Institutes IRCCS Pavia, Pavia, Italy
| | - Ennio Giulio Favalli
- Department of Rheumatology, Gaetano Pini-CTO, Milano, Italy
- Department of Clinical Sciences and Community Health, University of Milan, Milano, Italy
| | - Antonio Manzo
- Division of Rheumatology, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
- Department of Internal Medicine and Therapeutics, Università di Pavia, Pavia, Italy
| | - Roberto Caporali
- Department of Rheumatology, Gaetano Pini-CTO, Milano, Italy
- Department of Clinical Sciences and Community Health, University of Milan, Milano, Italy
| | - Carlomaurizio Montecucco
- Division of Rheumatology, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
- Department of Internal Medicine and Therapeutics, Università di Pavia, Pavia, Italy
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Studenic P, Felson D, de Wit M, Alasti F, Stamm TA, Smolen JS, Aletaha D. Testing different thresholds for patient global assessment in defining remission for rheumatoid arthritis: are the current ACR/EULAR Boolean criteria optimal? Ann Rheum Dis 2020; 79:445-452. [PMID: 32024651 PMCID: PMC10564460 DOI: 10.1136/annrheumdis-2019-216529] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Revised: 12/21/2019] [Accepted: 01/22/2020] [Indexed: 12/21/2022]
Abstract
OBJECTIVES This study aimed to evaluate different patient global assessment (PGA) cut-offs required in the American College of Rheumatology/European League Against Rheumatism (ACR/EULAR) Boolean remission definition for their utility in rheumatoid arthritis (RA). METHODS We used data from six randomised controlled trials in early and established RA. We increased the threshold for the 0-10 score for PGA gradually from 1 to 3 in steps of 0.5 (Boolean1.5 to Boolean3.0) and omitted PGA completely (BooleanX) at 6 and 12 months. Agreement with the index-based (Simplified Disease Activity Index (SDAI)) remission definition was analysed using kappa, recursive partitioning (classification and regression tree (CART)) and receiver operating characteristics. The impact of achieving each definition on functional and radiographic outcomes after 1 year was explored. RESULTS Data from 1680 patients with early RA and 920 patients with established RA were included. The proportion of patients achieving Boolean remission increased with higher thresholds for PGA from 12.4% to 19.7% in early and 5.9% to 12.3% in established RA at 6 months. Best agreement with SDAI remission occurred at PGA cut-offs of 1.5 and 2.0, while agreement decreased with higher PGA (CART: optimal agreement at PGA≤1.6 cm; sensitivity of PGA≤1.5 95%). Changing PGA thresholds at 6 months did not affect radiographic progression at 12 months (mean ꙙsmTSS for Boolean, 1.5, 2.0, 2.5, 3.0, BooleanX: 0.35±5.4, 0.38±5.14, 0.41±5.1, 0.37±4.9, 0.34±4.9, 0.27±4.7). However, the proportion attaining HAQ≤0.5 was 90.2%, 87.9%, 85.2%, 81.1%, 80.7% and 73.1% for the respective Boolean definitions. CONCLUSION Increasing the PGA cut-off to 1.5 cm would provide high consistency between Boolean with the index-based remission; the integer cut-off of 2.0 cm performed similarly.
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Affiliation(s)
- Paul Studenic
- Department of Internal Medicine 3, Division of Rheumatology, Medical University of Vienna, Wien, Austria
| | - David Felson
- Section of Rheumatology, Boston University School of Medicine, Boston, Massachusetts, USA
- Centre for Epidemiology, The University of Manchester, Manchester, UK
| | - Maarten de Wit
- Standing Committee of People with Arthritis/Rheumatism in Europe (PARE), EULAR, Zurich, Switzerland
| | - Farideh Alasti
- Department of Internal Medicine 3, Division of Rheumatology, Medical University of Vienna, Wien, Austria
| | - Tanja A Stamm
- Center for Medical Statistics, Informatics, and Intelligent Systems, Section for Outcomes Research, Medical University of Vienna, Wien, Austria
| | - Josef S Smolen
- Department of Internal Medicine 3, Division of Rheumatology, Medical University of Vienna, Wien, Austria
| | - Daniel Aletaha
- Department of Internal Medicine 3, Division of Rheumatology, Medical University of Vienna, Wien, Austria
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Mumcu G, Yay M, Aksoy A, Taş MN, Armağan B, Sarı A, Bozca BC, Tekgöz E, Karadağ DT, Badak SÖ, Tecer D, Bes C, Şahin A, Erken E, Cefle A, Çınar M, Yılmaz S, Karaçaylı Ü, Alpsoy E, Şenel S, Yaşar Bilge Ş, Kaşifoğlu T, Karadağ Ö, Aksu K, Keser G, Alibaz-Öner F, İnanç N, Ergun T, Direskeneli H. Predictive factors for work-day loss in Behçet's syndrome: A multi-center study. Int J Rheum Dis 2019; 23:240-246. [PMID: 31858715 DOI: 10.1111/1756-185x.13771] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2019] [Revised: 11/20/2019] [Accepted: 11/21/2019] [Indexed: 12/18/2022]
Abstract
OBJECTIVE The aim of this multi-center study was to assess predictive factors for work-day loss as an indirect cost element in Behçet's syndrome (BS). METHODS In this cross-sectional, multi-center study, 834 BS patients (F/M: 441/393, age mean: 38.4 ± 10.9 years) were included. Data were collected by a questionnaire regarding treatment protocols, disease duration, smoking pattern, frequency of medical visits during the previous year and self-reported work-day loss during the previous year. RESULTS Work-day loss was observed in 16.2% of patients (M/F: 103/32). The percentages of being a smoker (81.8%), using immunosuppressive (IS) medications (82%), and having disease duration <5 years (74%) were higher in male patients with work-day loss (P < .05). The majority of males (90.9%) had more than four clinic visits during the previous year. Moreover, the mean work-day loss (30.8 ± 57.7 days) was higher in patients with vascular involvement (56.1 ± 85.9) than those without (26.4 ± 50.6 days) (P = .046). In addition, increased frequency of ocular involvement (25.9%) was also observed in patients with work-day loss compared to others (8.6%) (P = .059). CONCLUSION Work-day loss was associated with both vascular and ocular involvement. Close associations were observed among male gender, early period of the disease, frequent medical visits, being a smoker and treatment with IS medications in patients with work-day loss.
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Affiliation(s)
- Gonca Mumcu
- Faculty of Health Sciences, Marmara University, Istanbul, Turkey
| | - Meral Yay
- Department of Statistics, Mimar Sinan Fine Arts University, Istanbul, Turkey
| | - Aysun Aksoy
- Division of Rheumatology, Medical School, Marmara University, Istanbul, Turkey
| | - Mehmet Nedim Taş
- Division of Rheumatology, Medical School, Ege University, Izmir, Turkey
| | - Berkan Armağan
- Division of Rheumatology, Medical School, Hacettepe University, Ankara, Turkey
| | - Alper Sarı
- Division of Rheumatology, Medical School, Hacettepe University, Ankara, Turkey
| | - Burçin Cansu Bozca
- Dermatology Department, Medical School, Akdeniz University, Antalya, Turkey
| | - Emre Tekgöz
- Gulhane Medical Faculty, Division of Rheumatology, Gulhane Education and Research Hospital, Ankara, Turkey
| | - Duygu Temiz Karadağ
- Division of Rheumatology, Medical School, Kocaeli University, Kocaeli, Turkey
| | - Suade Özlem Badak
- Division of Rheumatology, Medical School, Cukurova University, Adana, Turkey
| | - Duygu Tecer
- Şanlıurfa Mehmet Akif İnan Education and Research Hospital, Sanlıurfa, Turkey
| | - Cemal Bes
- Rheumatology Clinic, Istanbul Bakırköy Dr.Sadi Konuk Education and Research Hospital, Istanbul, Turkey
| | - Ali Şahin
- Division of Rheumatology, Medical School, Cumhuriyet University, Sivas, Turkey
| | - Eren Erken
- Division of Rheumatology, Medical School, Cukurova University, Adana, Turkey
| | - Ayse Cefle
- Division of Rheumatology, Medical School, Kocaeli University, Kocaeli, Turkey
| | - Muhammet Çınar
- Gulhane Medical Faculty, Division of Rheumatology, Gulhane Education and Research Hospital, Ankara, Turkey
| | - Sedat Yılmaz
- Gulhane Medical Faculty, Division of Rheumatology, Gulhane Education and Research Hospital, Ankara, Turkey
| | - Ümit Karaçaylı
- Gulhane Faculty of Dentistry, Department of Oral and Maxillofacial Surgery, Ankara, Turkey
| | - Erkan Alpsoy
- Dermatology Department, Medical School, Akdeniz University, Antalya, Turkey
| | - Soner Şenel
- Division of Rheumatology, Medical School, Erciyes University, Kayseri, Turkey
| | - Şule Yaşar Bilge
- Division of Rheumatology, Medical School, Osmangazi University, Eskisehir, Turkey
| | - Timuçin Kaşifoğlu
- Division of Rheumatology, Medical School, Osmangazi University, Eskisehir, Turkey
| | - Ömer Karadağ
- Division of Rheumatology, Medical School, Hacettepe University, Ankara, Turkey
| | - Kenan Aksu
- Division of Rheumatology, Medical School, Ege University, Izmir, Turkey
| | - Gökhan Keser
- Division of Rheumatology, Medical School, Ege University, Izmir, Turkey
| | - Fatma Alibaz-Öner
- Division of Rheumatology, Medical School, Marmara University, Istanbul, Turkey
| | - Nevsun İnanç
- Division of Rheumatology, Medical School, Marmara University, Istanbul, Turkey
| | - Tülin Ergun
- Dermatology Department, Medical School, Marmara University, Istanbul, Turkey
| | - Haner Direskeneli
- Division of Rheumatology, Medical School, Marmara University, Istanbul, Turkey
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Canhão H, Rodrigues AM, Gregório MJ, Dias SS, Melo Gomes JA, Santos MJ, Faustino A, Costa JA, Allaart C, Gvozdenović E, van der Heijde D, Machado P, Branco JC, Fonseca JE, Silva JA. Common Evaluations of Disease Activity in Rheumatoid Arthritis Reach Discordant Classifications across Different Populations. Front Med (Lausanne) 2018; 5:40. [PMID: 29662880 PMCID: PMC5890148 DOI: 10.3389/fmed.2018.00040] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2017] [Accepted: 02/05/2018] [Indexed: 12/31/2022] Open
Abstract
Objectives The classification of disease activity states in rheumatoid arthritis (RA) can be achieved through disease activity indices, such as the Disease Activity Score in 28 joints erythrocyte sedimentation rate (DAS28-ESR), the Simplified Disease Activity Index (SDAI), and the Clinical Disease Activity Index (CDAI). Subjective measurements, such as patient reported outcomes have been incorporated into several of these indices alongside more objective assessments, such as increases in the ESR and C-reactive protein. Moreover, while they use similar criteria, different indices weight these criteria to different extents. Therefore, the classifications based on each evaluation may not always be the same. We aim to compare the performance of the three indices and their individual components in two different populations. Methods Data from Dutch and Portuguese adherent centers were extracted from the METEOR database, a multinational collaboration on RA. We included a total of 24,605 visits from Dutch centers (from 5,870 patients) and 20,120 visits from Portuguese centers (from 3,185 patients). We compared the disease activity states as evaluated by the DAS28-ESR, CDAI, and SDAI across the two populations. In addition, we analyzed the individual components of each evaluation, including their respective contributions to the outcome, in each population. Results We found significant differences in the disease activity states classified with the DAS28-ESR between the two populations. SDAI and CDAI had more congruous results. While the proportion of visits to Dutch and Portuguese centers that were classified as “in remission” was very similar between the CDAI and SDAI, the DAS28-ESR gave discordant results. Dutch patients had lower ESRs, which is more heavily weighted in the DAS28-ESR. In addition, even though the mean physicians’ global assessment values did not vary significantly for Dutch vs Portuguese physicians, we found that doctors at Portuguese centers overall scored the physician’s global assessment lower than Dutch physicians for patient visits classified by disease activity state. Conclusion While the CDAI and SDAI assigned disease activity states that were largely similar, the DAS28-ESR was often discordant across the two populations. Moreover, we found that physicians, more than patients, evaluated disease activity differently among the Portuguese and Dutch populations.
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Affiliation(s)
- Helena Canhão
- CEDOC, EpiDoC Unit, Nova Medical School, Nova University, Lisbon, Portugal.,National School of Public Health, Nova University, Lisbon, Portugal
| | | | | | - Sara S Dias
- CEDOC, EpiDoC Unit, Nova Medical School, Nova University, Lisbon, Portugal
| | | | - Maria José Santos
- Rheumatology Research Unit, Instituto de Medicina Molecular, Lisbon Academic Medical Center, Lisbon, Portugal.,Rheumatology Department, Hospital Garcia de Orta, Almada, Portugal
| | | | | | - Cornelia Allaart
- Rheumatology Department, Leiden University Medical Center, Leiden, Netherlands
| | - Emilia Gvozdenović
- Rheumatology Department, Leiden University Medical Center, Leiden, Netherlands
| | | | - Pedro Machado
- Centre for Rheumatology Research, MRC Centre for Neuromuscular Diseases, University College London, London, United Kingdom
| | - Jaime C Branco
- CEDOC, EpiDoC Unit, Nova Medical School, Nova University, Lisbon, Portugal.,Rheumatology Department, Centro Hospitalar Lisboa Ocidental - HEM, Lisbon, Portugal
| | - João Eurico Fonseca
- Rheumatology Research Unit, Instituto de Medicina Molecular, Lisbon Academic Medical Center, Lisbon, Portugal.,Rheumatology Department, CHLN - Santa Maria Hospital, Lisbon Academic Medical Center, Lisbon, Portugal
| | - José António Silva
- Faculdade de Medicina da Universidade de Coimbra, Centro Hospitalar Universitário de Coimbra, Coimbra, Portugal
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