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      Patient-reported safety and tolerability of the COVID-19 vaccines in persons with rare neuroimmunological diseases

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          Abstract

          Background

          The COVID-19 vaccines are currently recommended for people with rare neuroimmunological diseases such as neuromyelitis optica spectrum disorder (NMOSD), MOG-antibody disease (MOGAD), and transverse myelitis. However, the safety profile of the vaccines in this population is uncertain.

          Objective

          To report real-world safety data of the COVID-19 vaccines in persons with rare neuroimmunological diseases.

          Methods

          An anonymous survey was distributed to patients recruited on social media. Participants answered general demographic and disease-related questions, and specific questions about their experiences with the COVID-19 vaccines.

          Results

          438 participants completed the questionnaire. The median age was 51 (range 18–82 years); 366 were female (83.6%); 102 (23.3%) had associated comorbidities, and 354 (80.1%) were treated with immunotherapies. 242 participants (55.3%) reported a diagnosis of NMOSD; 99 (22.6%) had MOGAD; 79 (18%) had transverse myelitis. 239 participants (66.2%) were younger than 55 years of age. 138 participants (31.5%) reported earlyadverse events. Of these, 93 (67.4%) were < 55 years old, and 45 (32.6%) were > 55 years old (p=0.0086). The most common adverse events were local reactions, including pain, redness, and swelling at the injection site, reported by 155 participants (35.4%). 73 participants (16.7%) reported new or worsening neurological symptoms following the vaccination. Most symptoms occurred within the first week after vaccination and resolved within three days.

          Conclusions

          This survey indicates an overall favorable safety and tolerability profile of the COVID-19 vaccines among persons with rare neuroimmunological diseases. Longer-term studies are warranted to confirm these data.

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          Most cited references43

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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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            Safety and Efficacy of the BNT162b2 mRNA Covid-19 Vaccine

            Abstract Background Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and the resulting coronavirus disease 2019 (Covid-19) have afflicted tens of millions of people in a worldwide pandemic. Safe and effective vaccines are needed urgently. Methods In an ongoing multinational, placebo-controlled, observer-blinded, pivotal efficacy trial, we randomly assigned persons 16 years of age or older in a 1:1 ratio to receive two doses, 21 days apart, of either placebo or the BNT162b2 vaccine candidate (30 μg per dose). BNT162b2 is a lipid nanoparticle–formulated, nucleoside-modified RNA vaccine that encodes a prefusion stabilized, membrane-anchored SARS-CoV-2 full-length spike protein. The primary end points were efficacy of the vaccine against laboratory-confirmed Covid-19 and safety. Results A total of 43,548 participants underwent randomization, of whom 43,448 received injections: 21,720 with BNT162b2 and 21,728 with placebo. There were 8 cases of Covid-19 with onset at least 7 days after the second dose among participants assigned to receive BNT162b2 and 162 cases among those assigned to placebo; BNT162b2 was 95% effective in preventing Covid-19 (95% credible interval, 90.3 to 97.6). Similar vaccine efficacy (generally 90 to 100%) was observed across subgroups defined by age, sex, race, ethnicity, baseline body-mass index, and the presence of coexisting conditions. Among 10 cases of severe Covid-19 with onset after the first dose, 9 occurred in placebo recipients and 1 in a BNT162b2 recipient. The safety profile of BNT162b2 was characterized by short-term, mild-to-moderate pain at the injection site, fatigue, and headache. The incidence of serious adverse events was low and was similar in the vaccine and placebo groups. Conclusions A two-dose regimen of BNT162b2 conferred 95% protection against Covid-19 in persons 16 years of age or older. Safety over a median of 2 months was similar to that of other viral vaccines. (Funded by BioNTech and Pfizer; ClinicalTrials.gov number, NCT04368728.)
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              The REDCap consortium: Building an international community of software platform partners

              The Research Electronic Data Capture (REDCap) data management platform was developed in 2004 to address an institutional need at Vanderbilt University, then shared with a limited number of adopting sites beginning in 2006. Given bi-directional benefit in early sharing experiments, we created a broader consortium sharing and support model for any academic, non-profit, or government partner wishing to adopt the software. Our sharing framework and consortium-based support model have evolved over time along with the size of the consortium (currently more than 3200 REDCap partners across 128 countries). While the "REDCap Consortium" model represents only one example of how to build and disseminate a software platform, lessons learned from our approach may assist other research institutions seeking to build and disseminate innovative technologies.
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                Author and article information

                Journal
                Mult Scler Relat Disord
                Mult Scler Relat Disord
                Multiple Sclerosis and Related Disorders
                Elsevier B.V.
                2211-0348
                2211-0356
                2 August 2021
                October 2021
                2 August 2021
                : 55
                : 103189
                Affiliations
                [0001]Division of Neuroimmunology & Neuroinfectious Disease, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, USA
                Author notes
                [* ]Corresponding author.
                Article
                S2211-0348(21)00456-9 103189
                10.1016/j.msard.2021.103189
                8327627
                34375861
                00b10654-b62f-4ec3-b97e-37509e4c9791
                © 2021 Elsevier B.V. All rights reserved.

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                : 23 June 2021
                : 8 July 2021
                : 1 August 2021
                Categories
                Article

                nmosd,mogad,covid-19,vaccine,safety,tolerability
                nmosd, mogad, covid-19, vaccine, safety, tolerability

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