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Ruscitti P, Allanore Y, Baldini C, Barilaro G, Bartoloni Bocci E, Bearzi P, Bellis E, Berardicurti O, Biaggi A, Bombardieri M, Cantarini L, Cantatore FP, Caporali R, Caso F, Cervera R, Ciccia F, Cipriani P, Chatzis L, Colafrancesco S, Conti F, Corberi E, Costa L, Currado D, Cutolo M, D'Angelo S, Del Galdo F, Di Cola I, Di Donato S, Distler O, D'Onofrio B, Doria A, Fautrel B, Fasano S, Feist E, Fisher BA, Gabini M, Gandolfo S, Gatto M, Genovali I, Gerli R, Grembiale RD, Guggino G, Hoffmann-Vold AM, Iagnocco A, Iaquinta FS, Liakouli V, Manoussakis MN, Marino A, Mauro D, Montecucco C, Mosca M, Naty S, Navarini L, Occhialini D, Orefice V, Perosa F, Perricone C, Pilato A, Pitzalis C, Pontarini E, Prete M, Priori R, Rivellese F, Sarzi-Puttini P, Scarpa R, Sebastiani G, Selmi C, Shoenfeld Y, Triolo G, Trunfio F, Yan Q, Tzioufas AG, Giacomelli R. Tailoring the treatment of inflammatory rheumatic diseases by a better stratification and characterization of the clinical patient heterogeneity. Findings from a systematic literature review and experts' consensus. Autoimmun Rev 2024; 23:103581. [PMID: 39069240 DOI: 10.1016/j.autrev.2024.103581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2024] [Accepted: 07/23/2024] [Indexed: 07/30/2024]
Abstract
Inflammatory rheumatic diseases are different pathologic conditions associated with a deregulated immune response, codified along a spectrum of disorders, with autoinflammatory and autoimmune diseases as two-end phenotypes of this continuum. Despite pathogenic differences, inflammatory rheumatic diseases are commonly managed with a limited number of immunosuppressive drugs, sometimes with partial evidence or transferring physicians' knowledge in different patients. In addition, several randomized clinical trials, enrolling these patients, did not meet the primary pre-established outcomes and these findings could be linked to the underlying molecular diversities along the spectrum of inflammatory rheumatic disorders. In fact, the resulting patient heterogeneity may be driven by differences in underlying molecular pathology also resulting in variable responses to immunosuppressive drugs. Thus, the identification of different clinical subsets may possibly overcome the major obstacles that limit the development more effective therapeutic strategies for these patients with inflammatory rheumatic diseases. This clinical heterogeneity could require a diverse therapeutic management to improve patient outcomes and increase the frequency of clinical remission. Therefore, the importance of better patient stratification and characterization is increasingly pointed out according to the precision medicine principles, also suggesting a new approach for disease treatment. In fact, based on a better proposed patient profiling, clinicians could more appropriately balance the therapeutic management. On these bases, we synthetized and discussed the available literature about the patient profiling in regard to therapy in the context of inflammatory rheumatic diseases, mainly focusing on randomized clinical trials. We provided an overview of the importance of a better stratification and characterization of the clinical heterogeneity of patients with inflammatory rheumatic diseases identifying this point as crucial in improving the management of these patients.
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Affiliation(s)
- Piero Ruscitti
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy.
| | - Yannick Allanore
- Rheumatology Department, Cochin Hospital, APHP, INSERM U1016, Université Paris Cité, Paris, France
| | - Chiara Baldini
- Rheumatology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Giuseppe Barilaro
- Department of Autoimmune Diseases, Reference Centre for Systemic Autoimmune Diseases, Vasculitis and Autoinflammatory Diseases of the Catalan and Spanish Health Systems, Member of ERN-ReCONNET/RITA, Hospital Clínic, University of Barcelona, Barcelona, Catalonia, Spain
| | - Elena Bartoloni Bocci
- Section of Rheumatology, Department of Medicine and Surgery, University of Perugia, Italy
| | - Pietro Bearzi
- Rheumatology and Clinical Immunology, Department of Medicine, School of Medicine, University of Rome "Campus Bio-Medico", 00128 Rome, Italy; Clinical and Research Section of Rheumatology and Clinical Immunology, Fondazione Policlinico Universitario Campus Bio-Medico, 00128 Rome, Italy
| | - Elisa Bellis
- Academic Rheumatology Centre, Dipartimento di Scienze Cliniche e Biologiche Università di Torino - AO Mauriziano di Torino, Turin, Italy
| | - Onorina Berardicurti
- Rheumatology and Clinical Immunology, Department of Medicine, School of Medicine, University of Rome "Campus Bio-Medico", 00128 Rome, Italy; Clinical and Research Section of Rheumatology and Clinical Immunology, Fondazione Policlinico Universitario Campus Bio-Medico, 00128 Rome, Italy
| | - Alice Biaggi
- Rheumatology and Clinical Immunology, Department of Medicine, School of Medicine, University of Rome "Campus Bio-Medico", 00128 Rome, Italy; Clinical and Research Section of Rheumatology and Clinical Immunology, Fondazione Policlinico Universitario Campus Bio-Medico, 00128 Rome, Italy
| | - Michele Bombardieri
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Queen Mary University of London and Barts NIHR BRC & NHS Trust & National Institute for Health and Care Research (NIHR) Barts Biomedical Research Centre (BRC), London, UK
| | - Luca Cantarini
- Department of Medical Sciences, Surgery and Neurosciences, Research Center of Systemic Autoinflammatory Diseases and Behçet's Disease Clinic, University of Siena, Siena, Italy; Azienda Ospedaliero-Universitaria Senese [European Reference Network (ERN) for Rare Immunodeficiency, Autoinflammatory and Autoimmune Diseases (RITA) Center] Siena, Italy
| | - Francesco Paolo Cantatore
- Rheumatology Clinic, Department of Medical and Surgical Sciences, University of Foggia, 71122 Foggia, Italy
| | - Roberto Caporali
- Department of Clinical Sciences and Community Health, University of Milan, Paediatric Rheumatology Unit, and Clinical Rheumatology Unit, ASST Pini-CTO, Milan, Italy
| | - Francesco Caso
- Rheumatology Research Unit, Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy
| | - Ricard Cervera
- Department of Autoimmune Diseases, Reference Centre for Systemic Autoimmune Diseases, Vasculitis and Autoinflammatory Diseases of the Catalan and Spanish Health Systems, Member of ERN-ReCONNET/RITA, Hospital Clínic, University of Barcelona, Barcelona, Catalonia, Spain
| | - Francesco Ciccia
- Rheumatology Unit, Department of Precision Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Paola Cipriani
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Loukas Chatzis
- Department of Pathophysiology, School of Medicine, National and Kapodistrian University of Athens, Greece
| | - Serena Colafrancesco
- Department of Internal Medicine and Medical Specialties, Rheumatology Unit, Sapienza University of Rome, Viale del Policlinico 155, 00185 Rome, Italy
| | - Fabrizio Conti
- Department of Internal Medicine and Medical Specialties, Rheumatology Unit, Sapienza University of Rome, Viale del Policlinico 155, 00185 Rome, Italy
| | - Erika Corberi
- Rheumatology and Clinical Immunology, Department of Medicine, School of Medicine, University of Rome "Campus Bio-Medico", 00128 Rome, Italy; Clinical and Research Section of Rheumatology and Clinical Immunology, Fondazione Policlinico Universitario Campus Bio-Medico, 00128 Rome, Italy
| | - Luisa Costa
- Rheumatology Research Unit, Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy
| | - Damiano Currado
- Rheumatology and Clinical Immunology, Department of Medicine, School of Medicine, University of Rome "Campus Bio-Medico", 00128 Rome, Italy; Clinical and Research Section of Rheumatology and Clinical Immunology, Fondazione Policlinico Universitario Campus Bio-Medico, 00128 Rome, Italy
| | - Maurizio Cutolo
- Laboratory of Experimental Rheumatology and Academic Division of Rheumatology, Department of Internal Medicine and Specialties, University of Genova Italy, IRCCS Polyclinic Hospital, Genova, Italy
| | - Salvatore D'Angelo
- Rheumatology Depatment of Lucania, San Carlo Hospital of Potenza and Madonna delle Grazie Hospital of Matera, Potenza, Italy
| | - Francesco Del Galdo
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK; NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Ilenia Di Cola
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Stefano Di Donato
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK; NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Oliver Distler
- Department of Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Bernardo D'Onofrio
- Department of Internal Medicine and Therapeutics, Università di Pavia, Division of Rheumatology, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - Andrea Doria
- Rheumatology Unit, Department of Medicine (DIMED), University of Padua, Padua, Italy
| | - Bruno Fautrel
- Sorbonne Université - Assistance Publique Hôpitaux de Paris, INSERM UMRS 1136, Hôpital de La Pitié Salpêtrière, Paris, France
| | - Serena Fasano
- Rheumatology Unit, Department of Precision Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Eugen Feist
- Department of Rheumatology, Helios Fachklinik, Sophie-von-Boetticher-Straße 1, 39245, Vogelsang-Gommern, Germany; Charité - Universitätsmedizin Berlin, Medizinische Klinik mit Schwerpunkt Rheumatologie und Klinische Immunologie, Berlin, Germany
| | - Benjamin A Fisher
- Institute of Inflammation and Ageing, University Hospitals Birmingham, Birmingham, UK; Department of Rheumatology, National Institute for Health Research (NIHR), Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Marco Gabini
- Rheumatology Unit, Santo Spirito Hospital, Pescara, Italy
| | - Saviana Gandolfo
- Unit of Rheumatology, San Giovanni Bosco Hospital, Naples, Italy
| | - Mariele Gatto
- Academic Rheumatology Centre, Dipartimento di Scienze Cliniche e Biologiche Università di Torino - AO Mauriziano di Torino, Turin, Italy
| | - Irene Genovali
- Rheumatology and Clinical Immunology, Department of Medicine, School of Medicine, University of Rome "Campus Bio-Medico", 00128 Rome, Italy; Clinical and Research Section of Rheumatology and Clinical Immunology, Fondazione Policlinico Universitario Campus Bio-Medico, 00128 Rome, Italy
| | - Roberto Gerli
- Section of Rheumatology, Department of Medicine and Surgery, University of Perugia, Italy
| | - Rosa Daniela Grembiale
- Rheumatology Research Unit, Dipartimento di Scienze della Salute, Università degli studi "Magna Graecia" di Catanzaro, Catanzaro, Italy
| | - Giuliana Guggino
- Rheumatology Unit, Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Italy
| | - Anna Maria Hoffmann-Vold
- Department of Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland; Department of Rheumatology, Oslo University Hospital-Rikshospitalet, Oslo, Norway
| | - Annamaria Iagnocco
- Academic Rheumatology Centre, Dipartimento di Scienze Cliniche e Biologiche Università di Torino - AO Mauriziano di Torino, Turin, Italy
| | - Francesco Salvatore Iaquinta
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Queen Mary University of London and Barts NIHR BRC & NHS Trust & National Institute for Health and Care Research (NIHR) Barts Biomedical Research Centre (BRC), London, UK
| | - Vasiliki Liakouli
- Rheumatology Unit, Department of Precision Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Menelaos N Manoussakis
- Department of Pathophysiology, School of Medicine, National and Kapodistrian University of Athens, Greece
| | - Annalisa Marino
- Rheumatology and Clinical Immunology, Department of Medicine, School of Medicine, University of Rome "Campus Bio-Medico", 00128 Rome, Italy; Clinical and Research Section of Rheumatology and Clinical Immunology, Fondazione Policlinico Universitario Campus Bio-Medico, 00128 Rome, Italy
| | - Daniele Mauro
- Rheumatology Unit, Department of Precision Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Carlomaurizio Montecucco
- Department of Internal Medicine and Therapeutics, Università di Pavia, Division of Rheumatology, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - Marta Mosca
- Rheumatology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Saverio Naty
- Department of Health Sciences, "Magna Græcia" University of Catanzaro, 88100 Catanzaro, Italy
| | - Luca Navarini
- Rheumatology and Clinical Immunology, Department of Medicine, School of Medicine, University of Rome "Campus Bio-Medico", 00128 Rome, Italy; Clinical and Research Section of Rheumatology and Clinical Immunology, Fondazione Policlinico Universitario Campus Bio-Medico, 00128 Rome, Italy
| | - Daniele Occhialini
- Rheumatic and Systemic Autoimmune Diseases Unit, Department of Interdisciplinary Medicine (DIM), University of Bari Medical School, Italy
| | - Valeria Orefice
- Rheumatology Unit, San Camillo-Forlanini Hospital, Rome, Italy
| | - Federico Perosa
- Rheumatic and Systemic Autoimmune Diseases Unit, Department of Interdisciplinary Medicine (DIM), University of Bari Medical School, Italy
| | - Carlo Perricone
- Section of Rheumatology, Department of Medicine and Surgery, University of Perugia, Italy
| | - Andrea Pilato
- Rheumatology and Clinical Immunology, Department of Medicine, School of Medicine, University of Rome "Campus Bio-Medico", 00128 Rome, Italy; Clinical and Research Section of Rheumatology and Clinical Immunology, Fondazione Policlinico Universitario Campus Bio-Medico, 00128 Rome, Italy
| | - Costantino Pitzalis
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Queen Mary University of London and Barts NIHR BRC & NHS Trust & National Institute for Health and Care Research (NIHR) Barts Biomedical Research Centre (BRC), London, UK; Department of Biomedical Sciences, Humanitas University, Milan, Italy
| | - Elena Pontarini
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Queen Mary University of London and Barts NIHR BRC & NHS Trust & National Institute for Health and Care Research (NIHR) Barts Biomedical Research Centre (BRC), London, UK
| | - Marcella Prete
- Rheumatic and Systemic Autoimmune Diseases Unit, Department of Interdisciplinary Medicine (DIM), University of Bari Medical School, Italy
| | - Roberta Priori
- Department of Internal Medicine and Medical Specialties, Rheumatology Unit, Sapienza University of Rome, Viale del Policlinico 155, 00185 Rome, Italy
| | - Felice Rivellese
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Queen Mary University of London and Barts NIHR BRC & NHS Trust & National Institute for Health and Care Research (NIHR) Barts Biomedical Research Centre (BRC), London, UK
| | - Piercarlo Sarzi-Puttini
- Rheumatology Department, ASST Fatebenefratelli Luigi Sacco University Hospital, Milan, Italy; Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy
| | - Raffaele Scarpa
- Rheumatology Research Unit, Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy
| | | | - Carlo Selmi
- Department of Biomedical Sciences, Humanitas University, Milan, Italy
| | - Yehuda Shoenfeld
- Zabludovwicz autoimmunity center, Sheba medical center, Tel Hashomer Israel, Reichman University, Herzeliya, Israel
| | - Giovanni Triolo
- Rheumatology Unit, Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Italy
| | - Francesca Trunfio
- Rheumatology and Clinical Immunology, Department of Medicine, School of Medicine, University of Rome "Campus Bio-Medico", 00128 Rome, Italy; Clinical and Research Section of Rheumatology and Clinical Immunology, Fondazione Policlinico Universitario Campus Bio-Medico, 00128 Rome, Italy
| | - Qingran Yan
- Department of Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Athanasios G Tzioufas
- Department of Pathophysiology, School of Medicine, National and Kapodistrian University of Athens, Greece
| | - Roberto Giacomelli
- Rheumatology and Clinical Immunology, Department of Medicine, School of Medicine, University of Rome "Campus Bio-Medico", 00128 Rome, Italy; Clinical and Research Section of Rheumatology and Clinical Immunology, Fondazione Policlinico Universitario Campus Bio-Medico, 00128 Rome, Italy
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Bordean L, Chis M, Cimpean AM, Barb AC, Cosma AA, Fenesan MP, Cotoi OS, Nicolescu L, Nicolescu CM, Avram C. Age, Sex, Metabolic and Pharmacologic Factors May Predict Nonresponse Status to Rheumatoid Arthritis Therapies. In Vivo 2023; 37:2387-2401. [PMID: 37652478 PMCID: PMC10500531 DOI: 10.21873/invivo.13344] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Revised: 08/17/2023] [Accepted: 08/19/2023] [Indexed: 09/02/2023]
Abstract
BACKGROUND/AIM A real challenge for patients with rheumatoid arthritis (RA) and rheumatologists is primary nonresponse status (PNRS) or secondary nonresponse status (SNRS) to various therapies. Despite their detrimental influence on patient life quality, PNRS and SNRS have no accurate definition and no early predictive criteria for their development exist. Patients with RA under 40 years of age are rare, hence PNRS and SNRS data for this age group are scarce. This study examined the PNRS and SNRS according to sex, age, BMI, therapy type, and duration. PATIENTS AND METHODS Retrospectively, 115 patients with RA having PNRS and/or SNRS were stratified by age (22-39, 40-59, and 60-81). The association between body mass index (BMI), proinflammatory cytokines inhibitors, JAK inhibitors, and TNF-alpha inhibitors, sex, age, and PNRS and SNRS was examined. RESULTS All three proinflammatory cytokine inhibitors (rituximab, tocilizumab, and abatacept) were associated with PNRS and SNRS in women with a high BMI aged 40-59 years. Abatacept-related PNRS and SNRS was significant in women with normal BMI aged 60-81 years. Adalimumab, infliximab, and golimumab affected SNRS differently in women with normal BMI aged 22-39 years and women with high BMI aged 60-81 years. Etanercept and infliximab were associated with SNRS status in men with high-BMI aged 40-59 years. CONCLUSION PNRS and SNRS development in patients with RA is significantly influenced by age, sex, and BMI, but most importantly is closely and differentially related to therapy type and duration.
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Affiliation(s)
- Liliana Bordean
- Department ME2/Rheumatology, Rehabilitation, Physical Medicine and Balneology, Faculty of Medicine, George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureş (UMPhST), Targu Mures, Romania
- Clinic of Rheumatology, Emergency County Hospital of Târgu Mureş, Targu Mures, Romania
- Doctoral School, Victor Babes University of Medicine and Pharmacy Timisoara, Timisoara, Romania
| | - Monica Chis
- Department ME2/Rheumatology, Rehabilitation, Physical Medicine and Balneology, Faculty of Medicine, George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureş (UMPhST), Targu Mures, Romania;
- Clinic of Rheumatology, Emergency County Hospital of Târgu Mureş, Targu Mures, Romania
| | - Anca Maria Cimpean
- Department of Microscopic Morphology/Histology, Victor Babes University of Medicine and Pharmacy Timisoara, Timisoara, Romania;
- Center of Expertise for Rare Vascular Disease in Children, Emergency Hospital for Children Louis Turcanu, Timisoara, Romania
| | - Alina Cristina Barb
- Doctoral School, Victor Babes University of Medicine and Pharmacy Timisoara, Timisoara, Romania
- Department of Microscopic Morphology/Histology, Victor Babes University of Medicine and Pharmacy Timisoara, Timisoara, Romania
- OncoHelp Hospital, Timisoara, Romania
| | - Andrei Alexandru Cosma
- Doctoral School, Victor Babes University of Medicine and Pharmacy Timisoara, Timisoara, Romania
- Department of Microscopic Morphology/Histology, Victor Babes University of Medicine and Pharmacy Timisoara, Timisoara, Romania
- OncoHelp Hospital, Timisoara, Romania
| | - Mihaela Pasca Fenesan
- Doctoral School, Victor Babes University of Medicine and Pharmacy Timisoara, Timisoara, Romania
- Department of Microscopic Morphology/Histology, Victor Babes University of Medicine and Pharmacy Timisoara, Timisoara, Romania
- OncoHelp Hospital, Timisoara, Romania
| | - Ovidiu Simion Cotoi
- Department of Pathophysiology, George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș, Targu Mures, Romania
- Department of Pathology, County Clinical Hospital Mureș, Targu Mures, Romania
| | - Laura Nicolescu
- Department of Medicine, Faculty of Medicine, Vasile Goldiş Western University of Arad, Arad, Romania
- Department of Physical Medicine and Rehabilitation, Emergency County Hospital, Arad, Romania
| | - Cristian Mircea Nicolescu
- Department of Anesthesia and Intensive Care, Emergency County Hospital, Arad, Romania
- Department of Biology and Life Sciences, Vasile Goldiş Western University of Arad, Arad, Romania
| | - Claudiu Avram
- Department XVI/Balneology, Rehabilitation and Rheumatology, University of Medicine and Pharmacy Victor Babes Timisoara, Timisoara, Romania
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Mendoza-Vázquez G, Espinoza-Gómez F, Rocha-Muñoz AD, Gamez-Nava JI, Gonzalez-Lopez L, Salazar-Paramo M, Riebeling-Navarro C, Aceves-Aceves JA, Guzmán-Silahua S, Nava-Zavala AH. Correlation between percentage of fat mass and level of disease activity in rheumatoid arthritis. SAGE Open Med 2022; 10:20503121221085821. [PMID: 35342627 PMCID: PMC8943587 DOI: 10.1177/20503121221085821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Accepted: 02/17/2022] [Indexed: 11/16/2022] Open
Abstract
Introduction: Controversies exist regarding the relationship between body fat and disease
activity in patients with rheumatoid arthritis. The evaluation of the
disease is critical for establishing treatment and prognosis. Fat mass could
be a predictive factor for poor prognosis in rheumatoid arthritis because of
its association with low- and high-grade inflammation. Objective: To evaluate the correlation between fat mass values and disease activity in
patients with rheumatoid arthritis. Materials and methods: This was a cross-sectional study. Eighty female patients diagnosed with
rheumatoid arthritis (American College of Rheumatology of 1987) were
evaluated. For each one, the evaluation determined fat mass using
bioelectrical impedance analysis and disease activity using the Disease
Activity Score on 28 joints (DAS28). Results: The mean age was 59.11 ± 9.92 years, with an average disease duration of
14.13 ± 10.13 years; 85% of patients showed a high body fat percentage.
Pearson’s correlation between DAS28 values and fat mass was
r = 0.035 (p = 0.76). Conclusion: The levels of DAS28 showed no correlation with fat mass percentage. Further
studies are required to clarify the factors that can modify these
levels.
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Affiliation(s)
- Guadalupe Mendoza-Vázquez
- Unidad de Investigación Epidemiologica y en Servicios de Salud y Unidad de Investigación Biomédica 02, Unidad Médica de Alta Especialidad, Hospital de Especialidades, Centro Médico Nacional de Occidente, OOAD Jalisco, Instituto Mexicano del Seguro Social, Guadalajara, México.,Programa de Doctorado en Ciencias Médicas, Facultad de Medicina, Universidad de Colima, Colima, México
| | - Francisco Espinoza-Gómez
- Programa de Doctorado en Ciencias Médicas, Facultad de Medicina, Universidad de Colima, Colima, México
| | | | - Jorge I Gamez-Nava
- Unidad de Investigación Epidemiologica y en Servicios de Salud y Unidad de Investigación Biomédica 02, Unidad Médica de Alta Especialidad, Hospital de Especialidades, Centro Médico Nacional de Occidente, OOAD Jalisco, Instituto Mexicano del Seguro Social, Guadalajara, México.,Programa de Doctorado en Farmacología, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, México
| | - Laura Gonzalez-Lopez
- Programa de Doctorado en Farmacología, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, México
| | - Mario Salazar-Paramo
- Departamento de Fisiología, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, México
| | - Carlos Riebeling-Navarro
- Unidad de Investigación en Epidemiología Clínica, Unidad Médica de Alta Especialidad, Hospital de Pediatría, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Ciudad de México, México.,Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de México, México
| | - Javier Alejandro Aceves-Aceves
- Unidad de Investigación Epidemiologica y en Servicios de Salud y Unidad de Investigación Biomédica 02, Unidad Médica de Alta Especialidad, Hospital de Especialidades, Centro Médico Nacional de Occidente, OOAD Jalisco, Instituto Mexicano del Seguro Social, Guadalajara, México.,Programa de Doctorado en Farmacología, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, México
| | - Sandra Guzmán-Silahua
- Unidad de Investigación Epidemiologica y en Servicios de Salud y Unidad de Investigación Biomédica 02, Unidad Médica de Alta Especialidad, Hospital de Especialidades, Centro Médico Nacional de Occidente, OOAD Jalisco, Instituto Mexicano del Seguro Social, Guadalajara, México.,Programa de Doctorado en Farmacología, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, México
| | - Arnulfo Hernán Nava-Zavala
- Unidad de Investigación Epidemiologica y en Servicios de Salud y Unidad de Investigación Biomédica 02, Unidad Médica de Alta Especialidad, Hospital de Especialidades, Centro Médico Nacional de Occidente, OOAD Jalisco, Instituto Mexicano del Seguro Social, Guadalajara, México.,Programa Internacional, Facultad de Medicina, Universidad Autónoma de Guadalajara, Zapopan, México.,Departamento de Inmunología y Reumatología, Hospital General de Occidente, Secretaría de Salud Jalisco, Zapopan, México
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Factors predicting addition of disease-modifying antirheumatic drugs after initial methotrexate monotherapy in patients with rheumatoid arthritis. Clin Rheumatol 2021; 40:2657-2663. [PMID: 33483918 DOI: 10.1007/s10067-021-05599-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 01/13/2021] [Accepted: 01/17/2021] [Indexed: 10/22/2022]
Abstract
INTRODUCTION We investigated factors predicting the addition of disease-modifying antirheumatic drugs (DMARDs) after an initial methotrexate (MTX) monotherapy in rheumatoid arthritis (RA) patients to support an early decision on the DMARDs addition. METHODS This retrospective cohort study included 311 patients who were diagnosed with RA and started on MTX monotherapy at Showa University Hospital, Japan. The outcome was addition of DMARDs after an initial MTX monotherapy at 6 months. Baseline patient characteristics were compared between the DMARDs addition and MTX monotherapy continuation groups, and significant independent predictive factors for the addition of DMARDs were selected using multivariate analysis. RESULTS The median age of patients was 62 years (range 24-90), 170 patients (73%) were women, the median swollen 28-joint count (SJC28) was 3 (0-28), and the median tender 28-joint count (TJC28) was 5 (0-28). DMARDs were added in 65 (27.9%) patients. In the univariate analysis, higher TJC28 and SJC28, concomitant use of nonsteroidal anti-inflammatory drugs, and intra-articular glucocorticoid (GC) injection history were significantly associated with the DMARDs addition. In the multivariate analysis, by adding covariates to the variables identified in the univariate analysis, SJC28 (odds ratio [OR] 1.390 per 5 joints increase; 95% confidence interval [CI], 1.036-1.866) and intra-articular GC injection history (OR 3.678; 95% CI, 1.170-11.557) were independent predictors of DMARDs addition. CONCLUSION A higher SJC28 and intra-articular GC injection history may be useful predictors of DMARDs addition after the initial MTX monotherapy. We expect that using these predictors will enable an earlier shift to a more aggressive treatment. Key Points ・We performed a retrospective cohort study with the addition of DMARDs as the outcome in patients with RA who were started on MTX monotherapy. ・A higher SJC28 (OR 1.390; 95% CI, 1.036-1.866) and an intra-articular GC injection history (OR 3.678; 95% CI, 1.170-11.557) may be useful predictors for the addition of DMARDs of initiating MTX monotherapy at 6 months. ・The use of such indicators may support an early decision on the addition of DMARDs after the initial MTX monotherapy.
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Leil TA, Lu Y, Bouillon-Pichault M, Wong R, Nowak M. Model-Based Meta-Analysis Compares DAS28 Rheumatoid Arthritis Treatment Effects and Suggests an Expedited Trial Design for Early Clinical Development. Clin Pharmacol Ther 2020; 109:517-527. [PMID: 32860421 PMCID: PMC7894503 DOI: 10.1002/cpt.2023] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Accepted: 08/11/2020] [Indexed: 12/25/2022]
Abstract
A nonlinear mixed effects modeling approach was used to conduct a model‐based meta‐analysis (MBMA) of longitudinal, summary‐level, baseline‐corrected 28‐joint Disease Activity Score (ΔDAS28) clinical trial data from seven approved rheumatoid arthritis (RA) drugs (abatacept, adalimumab, certolizumab, etanercept, rituximab, tocilizumab, and tofacitinib), representing 130 randomized clinical trials in 27,355 patients. All of the drugs except tocilizumab were found to have relatively similar ΔDAS28 time courses and efficacy (baseline‐corrected and placebo‐corrected) at 24 weeks and beyond of approximately 0.87–1.3 units in the typical RA patient population. Tocilizumab was estimated to have a differentially greater response of 1.99 at 24 weeks, likely due to its disproportionate effect on the acute‐phase cytokine interleukin‐6. Baseline DAS28, disease duration, percentage of male participants, and the year of conduct of the trial were found to have statistically significant effects on the timing and/or magnitude of ΔDAS28 in the control arms. Clinical trial simulations using the present MBMA indicated that abatacept, certolizumab, etanercept, tocilizumab, and tofacitinib would be expected to have a greater than 70% probability of showing a statistically significant difference vs. control at Week 6 with a sample size of ~ 30 patients per arm. In future RA clinical trials, an interim analysis conducted as early as 6 weeks after treatment initiation, with relatively small sample sizes, should be sufficient to detect the ΔDAS28 treatment effect vs. placebo.
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Affiliation(s)
- Tarek A Leil
- Quantitative Clinical Pharmacology, Bristol Myers Squibb, Princeton, New Jersey, USA
| | - Yasong Lu
- Quantitative Clinical Pharmacology, Bristol Myers Squibb, Princeton, New Jersey, USA
| | | | - Robert Wong
- Innovative Medicines Development, Bristol Myers Squibb, Princeton, New Jersey, USA
| | - Miroslawa Nowak
- Innovative Medicines Development, Bristol Myers Squibb, Princeton, New Jersey, USA
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Archer R, Hock E, Hamilton J, Stevens J, Essat M, Poku E, Clowes M, Pandor A, Stevenson M. Assessing prognosis and prediction of treatment response in early rheumatoid arthritis: systematic reviews. Health Technol Assess 2019; 22:1-294. [PMID: 30501821 DOI: 10.3310/hta22660] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Rheumatoid arthritis (RA) is a chronic, debilitating disease associated with reduced quality of life and substantial costs. It is unclear which tests and assessment tools allow the best assessment of prognosis in people with early RA and whether or not variables predict the response of patients to different drug treatments. OBJECTIVE To systematically review evidence on the use of selected tests and assessment tools in patients with early RA (1) in the evaluation of a prognosis (review 1) and (2) as predictive markers of treatment response (review 2). DATA SOURCES Electronic databases (e.g. MEDLINE, EMBASE, The Cochrane Library, Web of Science Conference Proceedings; searched to September 2016), registers, key websites, hand-searching of reference lists of included studies and key systematic reviews and contact with experts. STUDY SELECTION Review 1 - primary studies on the development, external validation and impact of clinical prediction models for selected outcomes in adult early RA patients. Review 2 - primary studies on the interaction between selected baseline covariates and treatment (conventional and biological disease-modifying antirheumatic drugs) on salient outcomes in adult early RA patients. RESULTS Review 1 - 22 model development studies and one combined model development/external validation study reporting 39 clinical prediction models were included. Five external validation studies evaluating eight clinical prediction models for radiographic joint damage were also included. c-statistics from internal validation ranged from 0.63 to 0.87 for radiographic progression (different definitions, six studies) and 0.78 to 0.82 for the Health Assessment Questionnaire (HAQ). Predictive performance in external validations varied considerably. Three models [(1) Active controlled Study of Patients receiving Infliximab for the treatment of Rheumatoid arthritis of Early onset (ASPIRE) C-reactive protein (ASPIRE CRP), (2) ASPIRE erythrocyte sedimentation rate (ASPIRE ESR) and (3) Behandelings Strategie (BeSt)] were externally validated using the same outcome definition in more than one population. Results of the random-effects meta-analysis suggested substantial uncertainty in the expected predictive performance of models in a new sample of patients. Review 2 - 12 studies were identified. Covariates examined included anti-citrullinated protein/peptide anti-body (ACPA) status, smoking status, erosions, rheumatoid factor status, C-reactive protein level, erythrocyte sedimentation rate, swollen joint count (SJC), body mass index and vascularity of synovium on power Doppler ultrasound (PDUS). Outcomes examined included erosions/radiographic progression, disease activity, physical function and Disease Activity Score-28 remission. There was statistical evidence to suggest that ACPA status, SJC and PDUS status at baseline may be treatment effect modifiers, but not necessarily that they are prognostic of response for all treatments. Most of the results were subject to considerable uncertainty and were not statistically significant. LIMITATIONS The meta-analysis in review 1 was limited by the availability of only a small number of external validation studies. Studies rarely investigated the interaction between predictors and treatment. SUGGESTED RESEARCH PRIORITIES Collaborative research (including the use of individual participant data) is needed to further develop and externally validate the clinical prediction models. The clinical prediction models should be validated with respect to individual treatments. Future assessments of treatment by covariate interactions should follow good statistical practice. CONCLUSIONS Review 1 - uncertainty remains over the optimal prediction model(s) for use in clinical practice. Review 2 - in general, there was insufficient evidence that the effect of treatment depended on baseline characteristics. STUDY REGISTRATION This study is registered as PROSPERO CRD42016042402. FUNDING The National Institute for Health Research Health Technology Assessment programme.
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Affiliation(s)
- Rachel Archer
- School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Emma Hock
- School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Jean Hamilton
- School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - John Stevens
- School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Munira Essat
- School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Edith Poku
- School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Mark Clowes
- School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Abdullah Pandor
- School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Matt Stevenson
- School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
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Morgan SL, Baggott JE. The importance of inhibition of a catabolic pathway of methotrexate metabolism in its efficacy for rheumatoid arthritis. Med Hypotheses 2018; 122:10-15. [PMID: 30593388 DOI: 10.1016/j.mehy.2018.10.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Revised: 09/14/2018] [Accepted: 10/05/2018] [Indexed: 11/19/2022]
Abstract
Methotrexate (MTX), an antifolate, is the anchor drug for the treatment of rheumatoid arthritis (RA). It is inexpensive, effective, and generally safe. When clinical response is inadequate, biological therapies are commonly used in combination with MTX. However, biological agents have safety concerns (i.e. infections, malignancy) and the addition of a biologic agent is expensive, making strategies to improve MTX efficacy important. Inhibition of pathways of folate metabolism involving purine metabolism by MTX, have been traditionally emphasized as important in MTX efficacy. However, inhibition MTX catabolism may also be important. MTX is irreversibly hydroxylated to form 7-hydroxy methotrexate (7-OH-MTX) by aldehyde oxidase (EC 1.2.3.1) (AOX). Catabolism of MTX to 7-OH-MTX is the first metabolic process imposed on an oral dose of MTX and will alter subsequent interactions of MTX with other enzymes. 7-OH-MTX is less potent than MTX in the treatment of rat adjuvant arthritis. RA patients with a low capacity to catabolize MTX to 7-OH-MTX do better clinically than individuals who are rapid formers of 7-OH-MTX. Therefore, altering the catabolism of MTX may be an innovative way to improve MTX efficacy. Raloxifene is a FDA-approved therapy for postmenopausal osteoporosis and for the reduction of invasive breast cancers but has no known activity in RA. Raloxifene is a potent inhibitor of human liver AOX. Postmenopausal women with RA frequently have low bone mineral density and would be candidates for raloxifene and MTX combination therapy. The effect of raloxifene on MTX metabolism has never been studied. Our hypothesis is that in postmenopausal women with RA and osteoporosis treated with MTX and raloxifene, the inhibition of AOX with resultant decreased formation of 7-OH MTX; will increase MTX levels and improve MTX efficacy. This hypothesis could be studied in an open-label, proof of concept clinical study in individuals before and after the addition of raloxifene. Red blood cell MTX and 7-OH-MTX levels and RA disease activity (DAS28) would be measured. In possible future studies, there are dietary substances, as supplements, (e.g. epigallocatechin gallate in green tea and resveratrol) which inhibit human liver AOX which could be evaluated.
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Affiliation(s)
- Sarah L Morgan
- Division of Clinical Immunology and Rheumatology, Department of Medicine, School of Medicine, The University of Alabama at Birmingham, Birmingham, AL, United States.
| | - Joseph E Baggott
- Division of Clinical Immunology and Rheumatology, Department of Medicine, School of Medicine, The University of Alabama at Birmingham, Birmingham, AL, United States
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Emery P, Pedersen R, Bukowski J, Marshall L. Predictors of Remission Maintenance after Etanercept Tapering or Withdrawal in Early Rheumatoid Arthritis: Results from the PRIZE Study. Open Rheumatol J 2018. [DOI: 10.2174/1874312901812010179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Objective:
To explore the influence of early treatment response to etanercept-methotrexate therapy on sustained remission after tapering/withdrawal of etanercept in methotrexate/biologic-naïve patients with early rheumatoid arthritis in the PRIZE study (ClinicalTrials.gov: NCT00913458).
Method:
In the initial 52-week open-label phase, enrolled patients received once-weekly etanercept 50 mg plus methotrexate. Patients who achieved DAS28 ≤3.2 at week 39 and <2.6 at week 52 were randomized to etanercept 25 mg plus methotrexate, methotrexate monotherapy, or placebo once weekly for 39 weeks in the double-blind phase. The relationships between responses in the open-label phase and sustained remission (DAS28 <2.6 at weeks 76 and 91, without glucocorticoid rescue therapy from weeks 52 to 64) in the double-blind phase were analyzed.
Results:
In the open-label phase, 70% of patients achieved DAS28 remission at week 52. In the double-blind phase, 63%, 40%, and 23% of patients had sustained DAS28 remission in the reduced-dose combination-therapy, methotrexate-monotherapy, and placebo groups, respectively. In patients receiving reduced-dose combination therapy, sustained remission was more likely in those who achieved DAS28 remission (p = 0.005) or low disease activity (p=0.044) in a shorter time, and who had a lower DAS28 (p = 0.016) or achieved ACR/EULAR Boolean remission (p < 0.05) at the end of the open-label phase. In patients receiving methotrexate monotherapy, sustained remission was associated with a lower acute-phase response (C-reactive protein, p = 0.007; erythrocyte sedimentation rate, p = 0.016) at the end of the open-label phase.
Conclusion:
Fast response and suppression of inflammation with etanercept-methotrexate therapy may predict successful etanercept tapering/withdrawal in patients with early rheumatoid arthritis.
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Ishikawa K, Ishikawa J. Iguratimod, a synthetic disease modifying anti-rheumatic drug inhibiting the activation of NF-κB and production of RANKL: Its efficacy, radiographic changes, safety and predictors over two years’ treatment for Japanese rheumatoid arthritis patients. Mod Rheumatol 2018; 29:418-429. [DOI: 10.1080/14397595.2018.1481565] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
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Berenbaum F, Pham T, Claudepierre P, de Chalus T, Joubert JM, Saadoun C, Riou França L, Fautrel B. Early non-response to certolizumab pegol in rheumatoid arthritis predicts treatment failure at one year. Data from a randomised phase III clinical trial. Joint Bone Spine 2017; 85:59-64. [PMID: 28214596 DOI: 10.1016/j.jbspin.2017.01.011] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2016] [Accepted: 01/05/2017] [Indexed: 12/19/2022]
Abstract
OBJECTIVES To compare different early clinical criteria of non-response determined at three months as predictors of clinical failure at one year in patients with rheumatoid arthritis starting therapy with certolizumab pegol. METHODS Data were derived from a randomised Phase III clinical trial in patients with rheumatoid arthritis who failed to respond to methotrexate monotherapy. Patients included in this post-hoc analysis were treated with certolizumab pegol (400mg qd reduced to 200mg qd after one month) and with methotrexate. The study duration was twelve months. Response at three months was determined with the American College of Rheumatology-50, Disease Assessment Score-28 ESR, Health Assessment Questionnaire and the Clinical Disease Activity Index. The performance of these measures at predicting treatment failure at twelve months defined by the American College of Rheumatology-50 criteria was determined, using the positive predictive values as the principal evaluation criterion. RESULTS Three hundred and eighty two patients were available for analysis and 225 completed the twelve-month follow-up. At Week 52, 149 (38.1%) patients met the American College of Rheumatology-50 response criterion. Positive predictive values ranged from 81% for a decrease in Health Assessment Questionnaire- Disability index score since baseline >0.22 to 95% for a decrease in Disease Assessment Score-28 score since baseline≥1.2. Sensitivity was≤70% in all cases. Performance of these measures was similar irrespective of the definition of treatment failure at 12months. CONCLUSIONS Simple clinical measures of disease activity can predict future treatment failure reliably and are appropriate for implementing treat-to-target treatment strategies in everyday practice.
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Affiliation(s)
- Francis Berenbaum
- Inserm UMRS 938, Department of Rheumatology, Saint-Antoine Hospital, AP-HP, UPMC, Paris 6 University, Inflammation-Immunopathology-Biotherapy Department (DHU i2B), 184, rue du Faubourg-Saint-Antoine, 75012 Paris, France.
| | - Thao Pham
- Rheumatology Department, Aix-Marseille University, 13284 Marseille, France; Rheumatology Department, Sainte-Marguerite Hospital, AP-HM, 13009 Marseille, France
| | - Pascal Claudepierre
- Laboratoire d'Investigation Clinique (LIC) EA4393, Rheumatology Department, AP-HP, Henri-Mondor hospital, Paris Est Créteil University, 94010 Créteil, France
| | | | | | - Carine Saadoun
- Market Access Department, UCB Pharma, 92700 Colombes, France
| | | | - Bruno Fautrel
- Rheumatology Department, Paris 6 University-GRC UPMC-08, AP-HP, 75005 Paris, France; Rheumatology Department, Groupe Hospitalier Pitié-Salpêtrière, 75013 Paris, France
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11
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O'Connor A, Thorne C, Kang H, Tin D, Pope JE. The rapid kinetics of optimal treatment with subcutaneous methotrexate in early inflammatory arthritis: an observational study. BMC Musculoskelet Disord 2016; 17:364. [PMID: 27558249 PMCID: PMC4997744 DOI: 10.1186/s12891-016-1213-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2016] [Accepted: 08/10/2016] [Indexed: 11/10/2022] Open
Abstract
Background Methotrexate (MTX) is standard treatment for RA. Absorption is better in subcutaneous MTX (scMTX), which may impact speed of onset. In RA, earlier time to remission improves long-term results. Our objectives were to determine rapidity of response of subcutaneous methotrexate in early rheumatoid arthritis. Methods The change in several disease activity measures (including DAS28) from 0 to 6 weeks (early period) and 6 to 12 weeks (late period) was compared. The proportion achieving DAS28/CDAI/SDAI remission and/or low disease activity state was also compared. Results One hundred three patients were included from a single site between 2008 and 2014. All received MTX (98.0 % scMTX, 98 % 25 mg/week). There were no dropouts. There was a significantly greater early change in DAS28 (−1.9 vs. −0.2, p < 0.00); this effect was seen for several outcome measures. By 6 weeks, 59 % had achieved either DAS28 remission or low disease activity state, with 74 % achieving either state by 12 weeks. There were a larger proportion of patients achieving CDAI and DAS28 remission in the early versus late period (p < 0.0002 for both). There was significant improvement when using combination MTX and HCQ, however sample size was small (n = 9). The use of intra-articular steroids with MTX yielded the most disease measures that demonstrated early significant improvement. Conclusion Subcutaneous MTX is rapid, as the change in many disease activity scores was significantly greater between 0–6 weeks compared to 6–12 weeks. Combination MTX + HCQ gave added value, although generalizability is limited by combination cohort sample size. Intra-articular steroid injections may contribute to the early effect. Electronic supplementary material The online version of this article (doi:10.1186/s12891-016-1213-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Anna O'Connor
- Schulich School of Medicine & Dentistry, University of Western Ontario, 268 Grosvenor St, London, ON, N6A 4V2, Canada
| | | | - Hyeon Kang
- University of Toronto, Toronto, ON, Canada
| | - Diane Tin
- Southlake Regional Health Centre, Newmarket, Canada
| | - Janet E Pope
- Schulich School of Medicine & Dentistry, University of Western Ontario, 268 Grosvenor St, London, ON, N6A 4V2, Canada. .,University of Toronto, Toronto, ON, Canada. .,Rheumatology, St. Joseph's Health Care, London, ON, Canada.
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12
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Li R, Zhao JX, Su Y, He J, Chen LN, Gu F, Zhao C, Deng XR, Zhou W, Hao YJ, Xue Y, Liu HX, Zhao Y, Zou QH, Liu XY, Zhu P, Sun LY, Zhang ZL, Zou HJ, Li XF, Liu Y, Fang YF, Keystone E, McInnes IB, Li ZG. High remission and low relapse with prolonged intensive DMARD therapy in rheumatoid arthritis (PRINT): A multicenter randomized clinical trial. Medicine (Baltimore) 2016; 95:e3968. [PMID: 27428186 PMCID: PMC4956780 DOI: 10.1097/md.0000000000003968] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
OBJECTIVES To determine whether prolonged intensive disease-modifying antirheumatic drug (DMARD) treatment (PRINT) leads to high remission and low relapse rates in patients with severe rheumatoid arthritis (RA). METHODS In this multicenter, randomized and parallel treatment trial, 346 patients with active RA (disease activity score (28 joints) [DAS28] (erythrocyte sedimentation rate [ESR]) > 5.1) were enrolled from 9 centers. In phase 1, patients received intensive treatment with methotrexate, leflunomide, and hydroxychloroquine, up to 36 weeks, until remission (DAS28 ≤ 2.6) or a low disease activity (2.6 < DAS28 ≤ 3.2) was achieved. In phase 2, patients achieving remission or low disease activity were followed up with randomization to 1 of 2 step-down protocols: leflunomide plus hydroxychloroquine combination or leflunomide monotherapy. The primary endpoints were good European League Against Rheumatism (EULAR) response (DAS28 (ESR) < 3.2 and a decrease of DAS28 by at least 1.2) during the intensive treatment and the disease state retention rate during step-down maintenance treatment. Predictors of a good EULAR response in the intensive treatment period and disease flare in the maintenance period were sought. RESULTS A good EULAR response was achieved in 18.7%, 36.9%, and 54.1% of patients at 12, 24, and 36 weeks, respectively. By 36 weeks, 75.4% of patients achieved good and moderate EULAR responses. Compared with those achieving low disease activity and a high health assessment questionnaire (HAQ > 0.5), patients achieving remission (DAS28 ≤ 2.6) and low HAQ (≤ 0.5) had a significantly higher retention rate when tapering the DMARDs treatment (P = 0.046 and P = 0.01, respectively). There was no advantage on tapering to combination rather than monotherapy. CONCLUSIONS Remission was achieved in a proportion of patients with RA receiving prolonged intensive DMARD therapy. Low disease activity at the start of disease taper leads to less subsequent flares. Leflunomide is a good maintenance treatment as single treatment.
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Affiliation(s)
- Ru Li
- Department of Rheumatology and Immunology, Peking University People's Hospital
| | - Jin-Xia Zhao
- Department of Rheumatology and Immunology, Peking University Third Hospital, Beijing
| | - Yin Su
- Department of Rheumatology and Immunology, Peking University People's Hospital
| | - Jing He
- Department of Rheumatology and Immunology, Peking University People's Hospital
| | - Li-Na Chen
- Department of Clinical Immunology, Fourth Military Medical University Xijing Hospital, Xi’an
| | - Fei Gu
- Department of Rheumatology and Immunology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing
| | - Cheng Zhao
- Department of Rheumatology and Immunology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing
| | - Xue-Rong Deng
- Department of Rheumatology and Clinical Immunology, Peking University First Hospital, Beijing
| | - Wei Zhou
- Department of Rheumatology and Clinical Immunology, Peking University First Hospital, Beijing
| | - Yan-Jie Hao
- Department of Rheumatology and Clinical Immunology, Peking University First Hospital, Beijing
| | - Yu Xue
- Department of Rheumatology and Immunology, Fudan University Huashan Hospital, Shanghai
| | - Hua-Xiang Liu
- Department of Rheumatology and Immunology, Shandong University Qilu Hospital, Jinan
| | - Yi Zhao
- Department of Rheumatology and Immunology, Sichuan University West China Hospital, Chengdu
| | - Qing-Hua Zou
- Department of Rheumatology and Immunology, Third Military Medical University Southwest Hospital, Chongqing, China
| | - Xiang-Yuan Liu
- Department of Rheumatology and Immunology, Peking University Third Hospital, Beijing
| | - Ping Zhu
- Department of Clinical Immunology, Fourth Military Medical University Xijing Hospital, Xi’an
| | - Ling-Yun Sun
- Department of Rheumatology and Immunology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing
| | - Zhuo-Li Zhang
- Department of Rheumatology and Clinical Immunology, Peking University First Hospital, Beijing
| | - He-Jian Zou
- Department of Rheumatology and Immunology, Fudan University Huashan Hospital, Shanghai
| | - Xing-Fu Li
- Department of Rheumatology and Immunology, Shandong University Qilu Hospital, Jinan
| | - Yi Liu
- Department of Rheumatology and Immunology, Sichuan University West China Hospital, Chengdu
| | - Yong-Fei Fang
- Department of Rheumatology and Immunology, Third Military Medical University Southwest Hospital, Chongqing, China
| | - Edward Keystone
- The Rebecca MacDonald Centre for Arthritis and Autoimmune Diseases, Mount Sinai Hospital, University of Toronto, Toronto, Canada
- Correspondence: Zhan-Guo Li, Department of Rheumatology and Immunology, Peking University People's Hospital, 11 Xizhimen South St., Beijing 100044, China (e-mail: )
| | - Iain B. McInnes
- Institute of Infection, Immunity and Inflammation, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
- Correspondence: Zhan-Guo Li, Department of Rheumatology and Immunology, Peking University People's Hospital, 11 Xizhimen South St., Beijing 100044, China (e-mail: )
| | - Zhan-Guo Li
- Department of Rheumatology and Immunology, Peking University People's Hospital
- Correspondence: Zhan-Guo Li, Department of Rheumatology and Immunology, Peking University People's Hospital, 11 Xizhimen South St., Beijing 100044, China (e-mail: )
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Aktuelle Therapie der polyartikulären Verlaufsform der juvenilen idiopathischen Arthritis. Z Rheumatol 2016; 75:284-91. [DOI: 10.1007/s00393-016-0063-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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Curtis JR, Churchill M, Kivitz A, Samad A, Gauer L, Gervitz L, Koetse W, Melin J, Yazici Y. A Randomized Trial Comparing Disease Activity Measures for the Assessment and Prediction of Response in Rheumatoid Arthritis Patients Initiating Certolizumab Pegol. Arthritis Rheumatol 2016; 67:3104-12. [PMID: 26316013 PMCID: PMC5063165 DOI: 10.1002/art.39322] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2014] [Accepted: 08/04/2015] [Indexed: 12/19/2022]
Abstract
Objective The aim of the Patient/Physician Reported Efficacy Determination In Clinical Practice Trial (PREDICT; ClinicalTrials identifier NCT01255761) was to compare the patient‐reported Routine Assessment of Patient Index Data 3 (RAPID‐3) instrument with the investigator‐based Clinical Disease Activity Index (CDAI) for assessing certolizumab pegol (CZP) treatment response in rheumatoid arthritis patients at 12 weeks and to predict the treatment response at week 52 using the data from week 12 (coprimary end points). Methods Patients received 400 mg of CZP at weeks 0, 2, and 4 (loading dose), followed by 200 mg every 2 weeks thereafter. Patients were randomized 1:1 to assessment with the RAPID‐3 or the CDAI. Responder classification was performed at week 12; treatment response was defined as a score of ≤6 or a 20% improvement over baseline on the RAPID‐3 or a score of ≤10 or a 20% improvement over baseline on the CDAI. Long‐term treatment success was defined as a Disease Activity Score in 28 joints using the erythrocyte sedimentation rate (DAS28‐ESR) of ≤3.2 at week 52. Comparisons were made for the coprimary end points using noninferiority methods. Patients with improvement of <1 on the CDAI score or with no improvement on the RAPID‐3 score at week 12 or patients with high levels of disease activity (CDAI score >22 or RAPID‐3 score >12) at 2 consecutive visits were withdrawn from the study. Results Patients had longstanding disease (mean 8.9 years) and high levels of disease activity (mean scores of 6.3 on the DAS28‐ESR, 16.1 on the RAPID‐3, and 40.2 on the CDAI). Previous anti–tumor necrosis factor therapy had failed in 55.5% of them. At week 12, a total of 64.7% (by RAPID‐3) and 76.4% (by CDAI) of the patients were classified as responders (difference of −11.9% [95% confidence interval −18.4%, −5.3%]). At week 52, a total of 31.5% (by RAPID‐3) and 32.3% (by CDAI) of the responders achieved a low level of disease activity on the DAS28‐ESR (difference of −1.3% [95% confidence interval −9.3%, 6.6%]). Conclusion The CDAI classified more patients as CZP responders at week 12 than did the RAPID‐3. Although these outcome measures were not statistically comparable, the positive predictive value for low disease activity at week 52 was similar. As these tools cover differing domains of therapy response, further evaluation for clinical disease activity assessments and treatment decisions is needed.
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Affiliation(s)
| | | | - Alan Kivitz
- Altoona Arthritis and Osteoporosis Center, Duncansville, Pennsylvania
| | | | | | | | | | - Jeffrey Melin
- Jeffrey M. Melin BioPharma Consulting, LLC, Philadelphia, Pennsylvania
| | - Yusuf Yazici
- New York University Hospital for Joint Diseases, New York, New York
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Wampler Muskardin T, Vashisht P, Dorschner JM, Jensen MA, Chrabot BS, Kern M, Curtis JR, Danila MI, Cofield SS, Shadick N, Nigrovic PA, St Clair EW, Bingham CO, Furie R, Robinson W, Genovese M, Striebich CC, O'Dell JR, Thiele GM, Moreland LW, Levesque M, Bridges SL, Gregersen PK, Niewold TB. Increased pretreatment serum IFN-β/α ratio predicts non-response to tumour necrosis factor α inhibition in rheumatoid arthritis. Ann Rheum Dis 2015; 75:1757-62. [PMID: 26546586 DOI: 10.1136/annrheumdis-2015-208001] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2015] [Accepted: 10/18/2015] [Indexed: 02/02/2023]
Abstract
OBJECTIVE Studies suggest that circulating type I interferon (IFN) may predict response to biological agents in rheumatoid arthritis (RA). Prediction of response prior to initiating therapy would represent a major advancement. METHODS We studied sera from a test set of 32 patients with RA from the Auto-immune Biomarkers Collaborative Network Consortium and a validation set of 92 patients with RA from the Treatment Efficacy and Toxicity in Rheumatoid Arthritis Database and Repository registry. The test set included those with good response or no response to tumour necrosis factor (TNF) inhibitors at 14 weeks by European League Against Rheumatism criteria. The validation set included subjects with good, moderate or no response at 12 weeks. Total serum type I IFN activity, IFN-α and IFN-β activity were measured using a functional reporter cell assay. RESULTS In the test set, an increased ratio of IFN-β to IFN-α (IFN-β/α activity ratio) in pretreatment serum associated with lack of response to TNF inhibition (p=0.013). Anti-cyclic citrullinated peptide antibody titre and class of TNF inhibitor did not influence this relationship. A receiver-operator curve supported a ratio of 1.3 as the optimal cut-off. In the validation set, subjects with an IFN-β/α activity ratio >1.3 were significantly more likely to have non-response than good response (OR=6.67, p=0.018). The test had 77% specificity and 45% sensitivity for prediction of non-response compared with moderate or good response. Meta-analysis of test and validation sets confirmed strong predictive capacity of IFN-β/α activity ratio (p=0.005). CONCLUSIONS Increased pretreatment serum IFN-β/α ratio strongly associated with non-response to TNF inhibition. This study supports further investigation of serum type I IFN in predicting outcome of TNF inhibition in RA.
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Affiliation(s)
| | - Priyanka Vashisht
- Division of Rheumatology, University of Nebraska Medical Center, Omaha, USA
| | | | - Mark A Jensen
- Division of Rheumatology, Mayo Clinic, Rochester, Minnesota, USA
| | - Beverly S Chrabot
- Gwen Knapp Center for Lupus and Immunology Research, University of Chicago, Chicago, Illinois, USA
| | - Marlena Kern
- Center for Genomics and Human Genetics, Feinstein Institute Medical Research, North Shore LIJ Health System, New York, New York, USA
| | - Jeffrey R Curtis
- Division of Clinical Immunology and Rheumatology, University of Alabama, Birmingham, Alabama, USA
| | - Maria I Danila
- Division of Clinical Immunology and Rheumatology, University of Alabama, Birmingham, Alabama, USA
| | - Stacey S Cofield
- Division of Clinical Immunology and Rheumatology, University of Alabama, Birmingham, Alabama, USA
| | - Nancy Shadick
- Division of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Peter A Nigrovic
- Division of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | | | - Clifton O Bingham
- Divisions of Rheumatology and Allergy, Johns Hopkins University, Baltimore, USA
| | - Richard Furie
- Division of Rheumatology and Allergy-Clinical Immunology, North Shore-LIJ Health System, Lake success, New York, USA
| | - William Robinson
- Division of Immunology and Rheumatology, Stanford University, Stanford, California, USA
| | - Mark Genovese
- Division of Immunology and Rheumatology, Stanford University, Stanford, California, USA
| | | | - James R O'Dell
- Division of Rheumatology, University of Nebraska Medical Center, Omaha, USA
| | - Geoffrey M Thiele
- Division of Rheumatology, University of Nebraska Medical Center, Omaha, USA
| | - Larry W Moreland
- Division of Rheumatology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Marc Levesque
- Division of Rheumatology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - S Louis Bridges
- Division of Clinical Immunology and Rheumatology, University of Alabama, Birmingham, Alabama, USA
| | - Peter K Gregersen
- Center for Genomics and Human Genetics, Feinstein Institute Medical Research, North Shore LIJ Health System, New York, New York, USA
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16
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Ranganath VK, Motamedi K, Haavardsholm EA, Maranian P, Elashoff D, McQueen F, Duffy EL, Bathon JM, Curtis JR, Chen W, Moreland L, Louie J, Amjadi S, O'Dell J, Cofield SS, St Clair EW, Bridges SL, Paulus HE. Comprehensive appraisal of magnetic resonance imaging findings in sustained rheumatoid arthritis remission: a substudy. Arthritis Care Res (Hoboken) 2015; 67:929-39. [PMID: 25581612 DOI: 10.1002/acr.22541] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2014] [Accepted: 12/16/2014] [Indexed: 11/07/2022]
Abstract
OBJECTIVE To evaluate the effect of sustained American College of Rheumatology (ACR)/European League Against Rheumatism (EULAR) Boolean remission on residual joint inflammation assessed by magnetic resonance imaging (MRI) and to secondarily evaluate other clinical definitions of remission, within an early seropositive rheumatoid arthritis (RA) cohort. METHODS A subcohort of 118 RA patients was enrolled from patients who completed the 2-year, double-blind randomized Treatment of Early Aggressive Rheumatoid Arthritis (TEAR) trial. Patients received a single contrast-enhanced 1.5T MRI of their most involved wrist. Two readers scored MRIs for synovitis, osteitis, tenosynovitis, and erosions. Clinical assessments were performed every 3 months during the trial and at time of MRI. RESULTS The subcohort was 92% seropositive with mean age 51 years, duration 4.1 months, and Disease Activity Score in 28 joints using the erythrocyte sedimentation rate 5.8 at TEAR entry. Total MRI inflammatory scores (tenosynovitis + synovitis + osteitis) were lower among patients in clinical remission. Lower MRI scores were correlated with longer duration of Clinical Disease Activity Index (CDAI) remission (ρ = 0.22, P = 0.03). At the time of MRI, 89 patients had no wrist pain/tenderness/swelling; however, all 118 patients had MRI evidence of residual joint inflammation after 2 years. No statistically significant differences in damage or MRI inflammatory scores were observed across treatment groups. CONCLUSION This is the first detailed appraisal describing the relationship between clinical remission cut points and MRI inflammatory scores within an RA randomized controlled trial. The most stringent remission criteria (2011 ACR/EULAR and CDAI) best differentiate the total MRI inflammatory scores. These results document that 2 years of triple therapy or tumor necrosis factor plus methotrexate treatment in early RA does not eliminate MRI evidence of joint inflammation.
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17
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Abstract
Treatment of early rheumatoid arthritis has to be started very early, when the diagnosis is made, preferentially before 6 months of symptoms. Combination therapy with conventional disease-modifying anti-rheumatic drugs (DMARDs) with low-dose, oral glucocorticoids in the induction phase from the start gives the best results. The patient should be monitored systematically, at start between 1 and 3 months, and the patient should have access to additional visits if a flare or arthritis or adverse event occurs. The treatment should aim to remission (no tender and swollen joints, no signs of inflammatory activity), which can be reached by 60-80% of the patients. Intra-articular glucocorticoid injections as part of the treatment strategy increase the suppression of arthritis and retard joint destruction. Biological drugs are reserved for patients who have consistent active disease and who do not respond to conventional combinations.
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Affiliation(s)
- Marjatta Leirisalo-Repo
- Helsinki University Central Hospital, Department of Medicine, and University of Helsinki, Institute of Clinical Medicine, Helsinki, Finland.
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18
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O'Dell JR, Curtis JR, Mikuls TR, Cofield SS, Bridges SL, Ranganath VK, Moreland LW. Validation of the methotrexate-first strategy in patients with early, poor-prognosis rheumatoid arthritis: results from a two-year randomized, double-blind trial. ACTA ACUST UNITED AC 2013; 65:1985-94. [PMID: 23686414 DOI: 10.1002/art.38012] [Citation(s) in RCA: 57] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2012] [Accepted: 05/06/2013] [Indexed: 01/23/2023]
Abstract
OBJECTIVE Methotrexate (MTX) taken as monotherapy is recommended as the initial disease-modifying antirheumatic drug for rheumatoid arthritis (RA). The purpose of this study was to examine outcomes of a blinded trial of initial MTX monotherapy with the option to step-up to combination therapy as compared to immediate combination therapy in patients with early, poor-prognosis RA. METHODS In the Treatment of Early Rheumatoid Arthritis (TEAR) trial, 755 participants with early, poor-prognosis RA were randomized to receive MTX monotherapy or combination therapy (MTX plus etanercept or MTX plus sulfasalazine plus hydroxychloroquine). Participants randomized to receive MTX monotherapy stepped-up to combination therapy at 24 weeks if the Disease Activity Score in 28 joints using the erythrocyte sedimentation rate (DAS28-ESR) was ≥3.2. RESULTS Attrition at 24 weeks was similar in the MTX monotherapy and combination groups. Of the 370 evaluable participants in the initial MTX group, 28% achieved low levels of disease activity and did not step-up to combination therapy (MTX monotherapy group). The mean ± SD DAS28-ESR in participants continuing to take MTX monotherapy at week 102 was 2.7 ± 1.2, which is similar to that in participants who were randomized to immediate combination therapy (2.9 ± 1.2). Participants who received MTX monotherapy had less radiographic progression at week 102 as compared to those who received immediate combination therapy (mean ± SD change in modified Sharp score 0.2 ± 1.1 versus 1.1 ± 6.4). Participants assigned to initial MTX who required step-up to combination therapy at 24 weeks (72%) demonstrated similar DAS28-ESR values (3.5 ± 1.3 versus 3.2 ± 1.3 at week 48) and radiographic progression (change in modified Sharp score 1.2 ± 4.1 versus 1.1 ± 6.4 at week 102) as those assigned to immediate combination therapy. The results for either of the immediate combination approaches, whether triple therapy or MTX plus etanercept, were similar. CONCLUSION These results in patients with early, poor prognosis RA validate the strategy of starting with MTX monotherapy. This study is the first to demonstrate in a blinded trial that initial MTX monotherapy with the option to step-up to combination therapy results in similar outcomes to immediate combination therapy. Approximately 30% of patients will not need combination therapy, and the 70% who will need it are clinically and radiographically indistinguishable from those who were randomized to receive immediate combination therapy.
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Affiliation(s)
- James R O'Dell
- University of Nebraska and Omaha VA Medical Center, Omaha, NE 68198-3025, USA.
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19
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White D, Pahau H, Duggan E, Paul S, Thomas R. Trajectory of intensive treat-to-target disease modifying drug regimen in an observational study of an early rheumatoid arthritis cohort. BMJ Open 2013; 3:bmjopen-2013-003083. [PMID: 23903812 PMCID: PMC3731780 DOI: 10.1136/bmjopen-2013-003083] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
OBJECTIVES Studies of early rheumatoid arthritis (RA) cohorts have analysed treatment response and prognostic factors at fixed time points. However, in treat-to-target protocols, therapeutic decision-making is dynamic and responsive to disease activity over time. To determine when a minimal residual disease response target should be expected, our primary objective was to identify the time-dependent therapeutic response to combination disease modifying antirheumatic drugs (DMARDs) for 12 months. Our secondary objective determined factors affecting this response trajectory. DESIGN Observational cohort. SETTING Treat-to-target early RA clinic in Australian tertiary referral hospital. PARTICIPANTS We enrolled consecutive patients attending an early arthritis clinic with symptom duration less than 12 months, who were diagnosed with RA for the first time between 2004 and 2008. 101 met these eligibility criteria and data were available at baseline through 12 months. INTERVENTIONS intensive DMARDs according to a treat-to-target protocol. PRIMARY AND SECONDARY OUTCOME MEASURES We measured disease activity scores (DAS) at each visit, then analysed therapeutic response and associated factors in a time-dependent fashion over 12 months. RESULTS The median DAS4vESR of 4.46 at baseline decreased 12 weeks later by 24%, while the proportion with DAS4v ≤ 2.6 increased (p<0.01). DAS4v continued to decrease over 52 weeks. DAS4v reduction of at least -0.45 at 4 weeks was predictive of DAS4v at 28 and 52 weeks. Female gender, current smoking, primary education and an interaction between baseline weight and C reactive protein (CRP) negatively impacted DAS4v reduction over 4 and 52 weeks. Time-varying effects of blood pressure, neutrophils, erythrocyte sedimentation rate and CRP also significantly influenced DAS4v over 52 weeks. CONCLUSIONS Time-dependent data suggest that the largest reduction of DAS4v to combination DMARDs occurs in the first month of therapy, and this predicts subsequent response. Variables known to impact long-term treatment response in RA also impacted early DAS4v response to combination DMARDs.
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Affiliation(s)
- Douglas White
- Diamantina Institute, University of Queensland, Princess Alexandra Hospital, Ipswich Road, Woolloongabba, Queensland, Australia
| | - Helen Pahau
- Diamantina Institute, University of Queensland, Princess Alexandra Hospital, Ipswich Road, Woolloongabba, Queensland, Australia
| | - Emily Duggan
- Diamantina Institute, University of Queensland, Princess Alexandra Hospital, Ipswich Road, Woolloongabba, Queensland, Australia
| | - Sanjoy Paul
- Queensland Clinical Trials and Biostatistics Centre, School of Population Health, University of Queensland, Translational Research Institute, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | - Ranjeny Thomas
- Diamantina Institute, University of Queensland, Princess Alexandra Hospital, Ipswich Road, Woolloongabba, Queensland, Australia
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20
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Filková M, Aradi B, Senolt L, Ospelt C, Vettori S, Mann H, Filer A, Raza K, Buckley CD, Snow M, Vencovský J, Pavelka K, Michel BA, Gay RE, Gay S, Jüngel A. Association of circulating miR-223 and miR-16 with disease activity in patients with early rheumatoid arthritis. Ann Rheum Dis 2013; 73:1898-904. [PMID: 23897768 PMCID: PMC4173742 DOI: 10.1136/annrheumdis-2012-202815] [Citation(s) in RCA: 140] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
BACKGROUND Identification of parameters for early diagnosis and treatment response would be beneficial for patients with early rheumatoid arthritis (ERA) to prevent ongoing joint damage. miRNAs have features of potential biomarkers, and an altered expression of miRNAs was shown in established rheumatoid arthritis (RA). OBJECTIVE To analyse RA associated miRNAs in the sera of patients with ERA to find markers of early disease, clinical activity or predictors of disease outcome. METHODS Total RNA was isolated from whole sera in ERA patients (prior to and after 3 and 12 months of therapy with disease modifying antirheumatic drugs), in patients with established RA and in healthy controls (HC) using phenol-chloroform extraction. Expression of miR-146a, miR-155, miR-223, miR-16, miR-203, miR-132 and miR-124a was analysed by TaqMan Real Time PCR. RESULTS From all analysed miRNAs, levels of miR-146a, miR-155 and miR-16 were decreased in the sera of ERA patients in comparison with established RA. A change in circulating miR-16 in the first 3 months of therapy was associated with a decrease in DAS28 in long term follow-up in ERA (p=0.002). Levels of circulating miR-223 in treatment naïve ERA correlated with C reactive protein (p=0.008), DAS28 (p=0.031) and change in DAS28 after 3 months (p=0.003) and 12 months (p=0.011) of follow-up. However, neither miR-16 nor miR-223 could distinguish ERA from HC. CONCLUSIONS Differential expression of circulating miR-146a, miR-155 and miR-16 in the sera of ERA patients may characterise an early stage of the disease. We suggest miR-223 as a marker of disease activity and miR-16 and miR-223 as possible predictors for disease outcome in ERA.
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Affiliation(s)
- Mária Filková
- Centre of Experimental Rheumatology, University Hospital Zurich, Zurich, Switzerland
| | - Borbala Aradi
- Centre of Experimental Rheumatology, University Hospital Zurich, Zurich, Switzerland
| | - Ladislav Senolt
- Department of Clinical and Experimental Rheumatology of the 1st Faculty of Medicine, Institute of Rheumatology, Charles University in Prague, Prague, Czech Republic
| | - Caroline Ospelt
- Centre of Experimental Rheumatology, University Hospital Zurich, Zurich, Switzerland
| | - Serena Vettori
- Centre of Experimental Rheumatology, University Hospital Zurich, Zurich, Switzerland
| | - Heřman Mann
- Department of Clinical and Experimental Rheumatology of the 1st Faculty of Medicine, Institute of Rheumatology, Charles University in Prague, Prague, Czech Republic
| | | | - Karim Raza
- University of Birmingham, Birmingham, UK
| | | | - Martyn Snow
- Royal Orthopaedic Hospital Birmingham NHS Foundation Trust, Birmingham, UK
| | - Jiří Vencovský
- Department of Clinical and Experimental Rheumatology of the 1st Faculty of Medicine, Institute of Rheumatology, Charles University in Prague, Prague, Czech Republic
| | - Karel Pavelka
- Department of Clinical and Experimental Rheumatology of the 1st Faculty of Medicine, Institute of Rheumatology, Charles University in Prague, Prague, Czech Republic
| | - Beat A Michel
- Centre of Experimental Rheumatology, University Hospital Zurich, Zurich, Switzerland
| | - Renate E Gay
- Centre of Experimental Rheumatology, University Hospital Zurich, Zurich, Switzerland
| | - Steffen Gay
- Centre of Experimental Rheumatology, University Hospital Zurich, Zurich, Switzerland
| | - Astrid Jüngel
- Centre of Experimental Rheumatology, University Hospital Zurich, Zurich, Switzerland
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