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      Risk‐mitigating behaviours in people with inflammatory skin and joint disease during the COVID‐19 pandemic differ by treatment type: a cross‐sectional patient survey *

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          Summary

          Background

          Registry data suggest that people with immune‐mediated inflammatory diseases (IMIDs) receiving targeted systemic therapies have fewer adverse coronavirus disease 2019 (COVID‐19) outcomes compared with patients receiving no systemic treatments.

          Objectives

          We used international patient survey data to explore the hypothesis that greater risk‐mitigating behaviour in those receiving targeted therapies may account, at least in part, for this observation.

          Methods

          Online surveys were completed by individuals with psoriasis (globally) or rheumatic and musculoskeletal diseases (RMDs) (UK only) between 4 May and 7 September 2020. We used multiple logistic regression to assess the association between treatment type and risk‐mitigating behaviour, adjusting for clinical and demographic characteristics. We characterized international variation in a mixed‐effects model.

          Results

          Of 3720 participants (2869 psoriasis, 851 RMDs) from 74 countries, 2262 (60·8%) reported the most stringent risk‐mitigating behaviour (classified here under the umbrella term ‘shielding’). A greater proportion of those receiving targeted therapies (biologics and Janus Kinase inhibitors) reported shielding compared with those receiving no systemic therapy [adjusted odds ratio (OR) 1·63, 95% confidence interval (CI) 1·35–1·97]. The association between targeted therapy and shielding was preserved when standard systemic therapy was used as the reference group (OR 1·39, 95% CI 1·23–1·56). Shielding was associated with established risk factors for severe COVID‐19 [male sex (OR 1·14, 95% CI 1·05–1·24), obesity (OR 1·37, 95% CI 1·23–1·54), comorbidity burden (OR 1·43, 95% CI 1·15–1·78)], a primary indication of RMDs (OR 1·37, 95% CI 1·27–1·48) and a positive anxiety or depression screen (OR 1·57, 95% CI 1·36–1·80). Modest differences in the proportion shielding were observed across nations.

          Conclusions

          Greater risk‐mitigating behaviour among people with IMIDs receiving targeted therapies may contribute to the reported lower risk of adverse COVID‐19 outcomes. The behaviour variation across treatment groups, IMIDs and nations reinforces the need for clear evidence‐based patient communication on risk‐mitigation strategies and may help inform updated public health guidelines as the pandemic continues.

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          Most cited references25

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          Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

          Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data capture tools to support clinical and translational research. We present: (1) a brief description of the REDCap metadata-driven software toolset; (2) detail concerning the capture and use of study-related metadata from scientific research teams; (3) measures of impact for REDCap; (4) details concerning a consortium network of domestic and international institutions collaborating on the project; and (5) strengths and limitations of the REDCap system. REDCap is currently supporting 286 translational research projects in a growing collaborative network including 27 active partner institutions.
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            Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention

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              OpenSAFELY: factors associated with COVID-19 death in 17 million patients

              COVID-19 has rapidly impacted on mortality worldwide. 1 There is unprecedented urgency to understand who is most at risk of severe outcomes, requiring new approaches for timely analysis of large datasets. Working on behalf of NHS England we created OpenSAFELY: a secure health analytics platform covering 40% of all patients in England, holding patient data within the existing data centre of a major primary care electronic health records vendor. Primary care records of 17,278,392 adults were pseudonymously linked to 10,926 COVID-19 related deaths. COVID-19 related death was associated with: being male (hazard ratio 1.59, 95%CI 1.53-1.65); older age and deprivation (both with a strong gradient); diabetes; severe asthma; and various other medical conditions. Compared to people with white ethnicity, black and South Asian people were at higher risk even after adjustment for other factors (HR 1.48, 1.29-1.69 and 1.45, 1.32-1.58 respectively). We have quantified a range of clinical risk factors for COVID-19 related death in the largest cohort study conducted by any country to date. OpenSAFELY is rapidly adding further patients’ records; we will update and extend results regularly.
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                Author and article information

                Journal
                Br J Dermatol
                Br J Dermatol
                bjd
                The British Journal of Dermatology
                Blackwell Publishing Ltd (Oxford, UK )
                0007-0963
                1365-2133
                01 July 2021
                01 July 2021
                01 July 2021
                : 185
                : 1
                : 80-90
                Author notes
                Funding sources See Appendix  2 for full details.
                Conflicts of interest See Appendix  3 for full details.
                S.K.M and M.Y. are joint first authors.
                See Appendix  1 for the full list of author affiliations.
                *   Plain language summary available online
                Correspondence Catherine Smith. Email: catherine.smith@ 123456kcl.ac.uk
                Author information
                https://orcid.org/0000-0003-4913-1522
                https://orcid.org/0000-0002-5419-0669
                https://orcid.org/0000-0002-2845-4384
                https://orcid.org/0000-0003-2432-5793
                https://orcid.org/0000-0002-2066-7780
                https://orcid.org/0000-0002-1777-9001
                https://orcid.org/0000-0001-6083-0952
                https://orcid.org/0000-0003-0404-0870
                Article
                bjd-185-1-0080
                10.1111/bjd.19755
                9214088
                33368145
                f4d0bb85-b6fb-4098-bc5c-5cd3fc947cae
                © 2021 British Association of Dermatologists

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The moral rights of the named author(s) have been asserted.

                History
                Page count
                Pages: 11
                Categories
                Original Articles
                Epidemiology
                AcademicSubjects/MED00010
                AcademicSubjects/MED00160
                AcademicSubjects/MED00240

                Dermatology
                Dermatology

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