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      Tight control in patients with rheumatoid arthritis treated with targeted therapies across the COVID-19 pandemic era

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          Abstract

          Objectives

          To analyze the impact of different patterns of healthcare delivery on remission of rheumatoid arthritis (RA) patients treated with targeted therapies during the first wave (2020) and second/third waves (2021) of the pandemic compared to the pre-pandemic period (2019).

          Methods

          In this observational real-life study, data from RA patients treated with biologic or targeted synthetic drugs were extracted from a longitudinal registry. Clinical Disease Activity Index (CDAI) was analyzed in the same period from the 22nd of February to the 18th of May for three consecutive years. These three periods were characterized by different patterns of healthcare delivery: (1) before the pandemic (2019) only in-person visits, (2) during the first wave (2020) both in-person visits and telehealth, and (3) during the second/third waves (2021) only in-person visits. A generalized linear model with the binomial error was fitted to evaluate the difference in the proportion of patients in CDAI remission. Quantile regression was used to compare the median of CDAI in difficult-to-treat (D2T) patients.

          Results

          In the three periods, we included 407, 450, and 540 RA patients respectively. The percentages of patients in CDAI remission were similar in the three periods (prevalence ratio 1.07, p value 0.423 between 2020 and 2019, and 1.01, p-value 0.934 between 2021 and 2019). The CDAI remission rate was 40.55% ( N = 163), 43.18% ( N = 155) and 40.82% ( N = 220) in 2019, 2020 and 2021, respectively. Among our cohort of D2T patients, CDAI remission was similar across the three periods ( N = 30, 22.22%; N = 27, 23.68%; and N = 34, 21.52% respectively).

          Conclusion

          Although the pandemic has imposed changes in our healthcare delivery, these different strategies seem to be effective in ensuring satisfactory management of RA treated with targeted therapies. The approaches modulated in the context of the different periods have been a feasible compensation for ensuring disease control even in D2T patients.

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          Most cited references47

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          2010 Rheumatoid arthritis classification criteria: an American College of Rheumatology/European League Against Rheumatism collaborative initiative.

          The 1987 American College of Rheumatology (ACR; formerly, the American Rheumatism Association) classification criteria for rheumatoid arthritis (RA) have been criticized for their lack of sensitivity in early disease. This work was undertaken to develop new classification criteria for RA. A joint working group from the ACR and the European League Against Rheumatism developed, in 3 phases, a new approach to classifying RA. The work focused on identifying, among patients newly presenting with undifferentiated inflammatory synovitis, factors that best discriminated between those who were and those who were not at high risk for persistent and/or erosive disease--this being the appropriate current paradigm underlying the disease construct "rheumatoid arthritis." In the new criteria set, classification as "definite RA" is based on the confirmed presence of synovitis in at least 1 joint, absence of an alternative diagnosis that better explains the synovitis, and achievement of a total score of 6 or greater (of a possible 10) from the individual scores in 4 domains: number and site of involved joints (score range 0-5), serologic abnormality (score range 0-3), elevated acute-phase response (score range 0-1), and symptom duration (2 levels; range 0-1). This new classification system redefines the current paradigm of RA by focusing on features at earlier stages of disease that are associated with persistent and/or erosive disease, rather than defining the disease by its late-stage features. This will refocus attention on the important need for earlier diagnosis and institution of effective disease-suppressing therapy to prevent or minimize the occurrence of the undesirable sequelae that currently comprise the paradigm underlying the disease construct "rheumatoid arthritis."
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            The Mental Health Consequences of COVID-19 and Physical Distancing: The Need for Prevention and Early Intervention

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              The american rheumatism association 1987 revised criteria for the classification of rheumatoid arthritis

              The revised criteria for the classification of rheumatoid arthritis (RA) were formulated from a computerized analysis of 262 contemporary, consecutively studied patients with RA and 262 control subjects with rheumatic diseases other than RA (non-RA). The new criteria are as follows: 1) morning stiffness in and around joints lasting at least 1 hour before maximal improvement; 2) soft tissue swelling (arthritis) of 3 or more joint areas observed by a physician; 3) swelling (arthritis) of the proximal interphalangeal, metacarpophalangeal, or wrist joints; 4) symmetric swelling (arthritis); 5) rheumatoid nodules; 6) the presence of rheumatoid factor; and 7) radiographic erosions and/or periarticular osteopenia in hand and/or wrist joints. Criteria 1 through 4 must have been present for at least 6 weeks. Rheumatoid arthritis is defined by the presence of 4 or more criteria, and no further qualifications (classic, definite, or probable) or list of exclusions are required. In addition, a "classification tree" schema is presented which performs equally as well as the traditional (4 of 7) format. The new criteria demonstrated 91-94% sensitivity and 89% specificity for RA when compared with non-RA rheumatic disease control subjects.
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                Author and article information

                Journal
                J Telemed Telecare
                J Telemed Telecare
                JTT
                spjtt
                Journal of Telemedicine and Telecare
                SAGE Publications (Sage UK: London, England )
                1357-633X
                1758-1109
                24 January 2023
                24 January 2023
                : 1357633X221150724
                Affiliations
                [1 ]Clinical Rheumatology Unit, ASST Gaetano Pini-CTO, Department of Clinical Sciences & Community Health, Università degli Studi di Milano, Milano, Italy
                [2 ]Lab of Medical Statistics, Biometry and Epidemiology “GA Maccacaro”, Department of Clinical Sciences & Community Health, Università degli Studi di Milano, Milano, Italy
                [3 ]Department of Biomedical and Clinical Sciences “L. Sacco”, Università degli Studi di Milano, Milano, Italy
                Author notes
                [*]Francesca Ingegnoli, Clinical Rheumatology Unit, ASST Gaetano Pini-CTO, Dept. of Clinical Sciences & Community Health, Università degli Studi di Milano, Piazza Cardinal Ferrari 1, Milano, Italy. Email: francesca.ingegnoli@ 123456unimi.it
                Author information
                https://orcid.org/0000-0002-6727-1273
                Article
                10.1177_1357633X221150724
                10.1177/1357633X221150724
                9892820
                36694430
                6b47ed7d-59e4-4164-885d-6d08dc3d7ded
                © The Author(s) 2023

                This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections.

                History
                : 19 September 2022
                : 27 December 2022
                Categories
                RESEARCH/Original Article
                Custom metadata
                corrected-proof
                ts19

                Medicine
                rheumatoid arthritis,biologics,targeted therapy,tight control,telemedicine,telehealth,covid-19
                Medicine
                rheumatoid arthritis, biologics, targeted therapy, tight control, telemedicine, telehealth, covid-19

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