ABSTRACT
This paper aims to summarize through meta-analyses the overall vaccine effectiveness of the BNT162b2 mRNA vaccine from observational studies. A systematic literature search with no language restriction was performed in electronic databases to identify eligible observational studies which reported the adjusted effectiveness of the BNT162b2 mRNA vaccine to prevent RT-PCR confirmed COVID-19. Meta-analyses with the random-effects model were used to calculate the pooled hazard ratio (HR) and pooled incidence rate ratio (IRR) at 95% confidence intervals, and the vaccine effectiveness was indicated as (pooled HR - 1)/HR or (pooled IRR - 1)/IRR. Nineteen studies were included for this meta-analysis. The meta-analysis revealed significant protective effect against RT-PCR confirmed COVID-19 ≥ 14 days after the first dose, with vaccine effectiveness of 53% (95% confidence interval 32-68%), and ≥ 7 days after the second dose, with vaccine effectiveness of 95% (95% confidence interval: 96-97%). Despite its effectiveness, reporting vaccine safety data by relevant stakeholders should be encouraged as BNT162b2 mRNA is a new vaccine that has not gained full approval. There have been limited data about vaccine effectiveness among immunocompromised patients; thus, the vaccine should be used cautiously in this patient population.
Subject(s)
COVID-19 Vaccines/administration & dosage , COVID-19/prevention & control , Observational Studies as Topic/methods , Pragmatic Clinical Trials as Topic/methods , BNT162 Vaccine , COVID-19/diagnosis , COVID-19/epidemiology , Humans , Treatment OutcomeABSTRACT
BACKGROUND & AIMS: Coronavirus disease 2019 (COVID-19) spreads rapidly and within no time, it has been declared a pandemic by the World Health Organization. Evidence suggests diabetes to be a risk factor for the progression and poor prognosis of COVID-19. Therefore, we aimed to understand the pooled prevalence of diabetes in patients infected with COVID-19. We also aimed to compute the risk of mortality and ICU admissions in COVID-19 patients with and without diabetes. METHODS: A comprehensive literature search was performed in PubMed to identify the articles reporting the diabetes prevalence and risk of mortality or ICU admission in COVID-19 patients. The primary outcome was to compute the pooled prevalence of diabetes in COVID-19 patients. Secondary outcomes included risk of mortality and ICU admissions in COVID-19 patients with diabetes compared to patients without diabetes. RESULTS: This meta-analysis was based on a total of 23007 patients from 43 studies. The pooled prevalence of diabetes in patients infected with COVID-19 was found to be 15% (95% CI: 12%-18%), p = <0.0001. Mortality risk was found to be significantly higher in COVID-19 patients with diabetes as compared to COVID-19 patients without diabetes with a pooled risk ratio of 1.61 (95% CI: 1.16-2.25%), p = 0.005. Likewise, risk of ICU admission rate was significantly higher in COVID-19 patients with diabetes as compared to COVID-19 patients without diabetes with a pooled risk ratio of 1.88 (1.20%-2.93%), p = 0.006. CONCLUSION: This meta-analysis found a high prevalence of diabetes and higher mortality and ICU admission risk in COVID-19 patients with diabetes.
Subject(s)
COVID-19/mortality , Cost of Illness , Diabetes Mellitus/mortality , Pragmatic Clinical Trials as Topic , COVID-19/diagnosis , Diabetes Mellitus/diagnosis , Hospitalization/trends , Humans , Intensive Care Units/trends , Pragmatic Clinical Trials as Topic/methods , Retrospective StudiesSubject(s)
Biomedical Research/organization & administration , COVID-19/therapy , Clinical Trials as Topic , Pandemics , Biomedical Research/history , Biomedical Research/standards , COVID-19/diagnosis , COVID-19/epidemiology , Canada/epidemiology , Clinical Trials as Topic/methods , Clinical Trials as Topic/organization & administration , Clinical Trials as Topic/standards , Community Networks/organization & administration , Community Networks/standards , Drug Evaluation, Preclinical/methods , Drug Evaluation, Preclinical/standards , Europe/epidemiology , History, 21st Century , Humans , International Cooperation , Learning , Neural Networks, Computer , Organizational Innovation , Pandemics/history , Patient Selection , Pragmatic Clinical Trials as Topic/methods , Pragmatic Clinical Trials as Topic/standards , Research Design , Scandinavian and Nordic Countries/epidemiology , United Kingdom/epidemiology , World Health Organization/organization & administrationABSTRACT
The COVID-19 pandemic has surprised the entire population. The world has had to face an unprecedented pandemic. Only, Spanish flu had similar disastrous consequences. As a result, drastic measures (lockdown) have been adopted worldwide. Healthcare service has been overwhelmed by the extraordinary influx of patients, often requiring high intensity of care. Mortality has been associated with severe comorbidities, including chronic diseases. Patients with frailty were, therefore, the victim of the SARS-COV-2 infection. Allergy and asthma are the most prevalent chronic disorders in children and adolescents, so they need careful attention and, if necessary, an adaptation of their regular treatment plans. Fortunately, at present, young people are less suffering from COVID-19, both as incidence and severity. However, any age, including infancy, could be affected by the pandemic.Based on this background, the Italian Society of Pediatric Allergy and Immunology has felt it necessary to provide a Consensus Statement. This expert panel consensus document offers a rationale to help guide decision-making in the management of children and adolescents with allergic or immunologic diseases.