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      Allergic Reactions to COVID-19 Vaccines: Risk Factors, Frequency, Mechanisms and Management

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          Abstract

          Conventional vaccines have been widely studied, along with their risk of causing allergic reactions. These generally consist of mild local reactions and only rarely severe anaphylaxis. Although all the current COVID-19 vaccines marketed in Europe have been shown to be safe overall in the general population, early post-marketing evidence has shown that mRNA-based vaccines using novel platforms (i.e., lipid nanoparticles) were associated with an increased risk of severe allergic reactions as compared to conventional vaccines. In this paper we performed an updated literature review on frequency, risk factors, and underlying mechanisms of COVID-19 vaccine-related allergies by searching MEDLINE and Google Scholar databases. We also conducted a qualitative search on VigiBase and EudraVigilance databases to identify reports of “Hypersensitivity” and “Anaphylactic reaction” potentially related to COVID-19 vaccines (Comirnaty, Spikevax, Vaxzevria and COVID-19 Janssen Vaccine), and in EudraVigilance to estimate the reporting rates of “Anaphylactic reaction” and “Anaphylactic shock” after COVID-19 vaccination in the European population. We also summarized the scientific societies’ and regulatory agencies’ recommendations for prevention and management of COVID-19 vaccine-related allergic reactions, especially in those with a history of allergy.

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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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            International ERS/ATS guidelines on definition, evaluation and treatment of severe asthma.

            Severe or therapy-resistant asthma is increasingly recognised as a major unmet need. A Task Force, supported by the European Respiratory Society and American Thoracic Society, reviewed the definition and provided recommendations and guidelines on the evaluation and treatment of severe asthma in children and adults. A literature review was performed, followed by discussion by an expert committee according to the GRADE (Grading of Recommendations, Assessment, Development and Evaluation) approach for development of specific clinical recommendations. When the diagnosis of asthma is confirmed and comorbidities addressed, severe asthma is defined as asthma that requires treatment with high dose inhaled corticosteroids plus a second controller and/or systemic corticosteroids to prevent it from becoming "uncontrolled" or that remains "uncontrolled" despite this therapy. Severe asthma is a heterogeneous condition consisting of phenotypes such as eosinophilic asthma. Specific recommendations on the use of sputum eosinophil count and exhaled nitric oxide to guide therapy, as well as treatment with anti-IgE antibody, methotrexate, macrolide antibiotics, antifungal agents and bronchial thermoplasty are provided. Coordinated research efforts for improved phenotyping will provide safe and effective biomarker-driven approaches to severe asthma therapy.
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              Use of proportional reporting ratios (PRRs) for signal generation from spontaneous adverse drug reaction reports.

              The process of generating 'signals' of possible unrecognized hazards from spontaneous adverse drug reaction reporting data has been likened to looking for a needle in a haystack. However, statistical approaches to the data have been under-utilised. Using the UK Yellow Card database, we have developed and evaluated a statistical aid to signal generation called a Proportional Reporting Ratio (PRR). The proportion of all reactions to a drug which are for a particular medical condition of interest is compared to the same proportion for all drugs in the database, in a 2 x 2 table. We investigated a group of newly-marketed drugs using as minimum criteria for a signal, 3 or more cases, PRR at least 2, chi-squared of at least 4. The database was used to examine retrospectively 15 drugs newly-marketed in the UK, with the highest levels of ADR reporting. The method identified 481 signals meeting the minimum criteria during the period 1996-8. Further evaluation of these showed that 70% were known adverse reactions, 13% were events which were likely to be related to the underlying disease and 17% were signals requiring further evaluation. Proportional reporting ratios are a valuable aid to signal generation from spontaneous reporting data which are easy to calculate and interpret, and various refinements are possible.
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                Author and article information

                Contributors
                gianluca.trifiro@univr.it
                Journal
                BioDrugs
                BioDrugs
                Biodrugs
                Springer International Publishing (Cham )
                1173-8804
                1179-190X
                13 June 2022
                13 June 2022
                : 1-16
                Affiliations
                [1 ]GRID grid.5611.3, ISNI 0000 0004 1763 1124, Department of Diagnostics and Public Health, Section of Pharmacology, , University of Verona, ; Verona, Italy
                [2 ]GRID grid.411475.2, ISNI 0000 0004 1756 948X, Immunology Unit, University Hospital, , Azienda Ospedaliera Universitaria Integrata, ; Verona, Italy
                [3 ]GRID grid.5611.3, ISNI 0000 0004 1763 1124, Asthma Centre and Allergy Unit, , University of Verona and Verona University Hospital, ; Verona, Italy
                [4 ]GRID grid.5608.b, ISNI 0000 0004 1757 3470, Department of Cardiac-Thoracic-Vascular Sciences and Public Health, , University of Padua, ; Padua, Italy
                [5 ]GRID grid.412507.5, ISNI 0000 0004 1773 5724, Sicilian Regional Pharmacovigilance Centre, , University Hospital of Messina, ; Messina, Italy
                [6 ]GRID grid.9841.4, ISNI 0000 0001 2200 8888, Department of Experimental Medicine, Section of Pharmacology “L. Donatelli”, Campania Regional Centre for Pharmacovigilance and Pharmacoepidemiology, , University of Campania “Luigi Vanvitelli”, ; Naples, Italy
                Author information
                http://orcid.org/0000-0003-1147-7296
                Article
                536
                10.1007/s40259-022-00536-8
                9190452
                35696066
                a04e54dc-5638-48de-a3dd-9b1999784cca
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 26 April 2022
                Funding
                Funded by: Università degli Studi di Verona
                Categories
                Review Article

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