ABSTRACT
Due to our mistake in entering the affiliation and name of Mojgan Sarmadi in our article (Article ID: 110201, DOI: 10.5812/pedinfect.110201), we would like to apologize for any inconvenience made to our author and her affiliated organization, which is "National Institute of Dental and Craniofacial Research, Oral Immunity and Infection Unit, Oral and Pharyngeal Cancer Branch, National Institute of Health, Bethesda, MD 20892, US". We declare the correct affiliation of Mojgan Sarmadi is a private practice. © 2022, Author(s).
ABSTRACT
Diarrhea and vomiting with or without fever are common symptoms in children, while one of the most common clinical findings of Coronavirus disease 2019 (COVID-19) is gastrointestinal symptoms. Therefore, there is a need to develop an algorithm for dealing with a patient with gastroenteritis in the SARS-CoV-2 epidemic.
ABSTRACT
Context: In the era of the SARS-CoV-2 virus pandemic, new scoring systems need to be developed to estimate the risk of COVID-19 complications aiding in the accurate prognosis. Improved scoring systems by combining multiple variables allow clinicians to optimize the allocation of limited medical resources for the best clinical outcomes. Methods: Published articles were selected that assessed the relationship between clinical, para-clinical, demographics, comorbidities, and outcomes of COVID-19 patients in a systematic review to develop a novel scoring system. Results: In this study, by summarizing the results of 97 studies and the experiences of experts, prognostic factors were determined and divided into four groups: Age, clinical symptoms, co-morbidities, and tests. Twenty-three published articles met the selection criteria and were included in this study. Accordingly, by the opinion of experts, prognostic factors were categorized into four main groups: Age, clinical symptoms, co-morbidities, and specific test results. Conclusions: This novel scoring model helps physicians to early identify critical COVID-19 patients and optimize patient management based on recent comprehensive data of the most significant predictive factors.
ABSTRACT
Background: In December 2019, a new coronavirus appeared in China, as a cause of acute respiratory disease. Healthcare Workers (HCWs) in children's hospitals are one of the groups who are at a high rate of exposure to COVID-19 patients. The detection of antibodies is useful and helps diagnose late or recent SARS-CoV-2 infection. Most children may present with asymptomatic or mild SARS-CoV-2 infection and can be silent sources of infection in the community and hospitals. Objectives: This study was conducted to determine the antibodies (IgM and IgG) against SARS-CoV-2 in Mofid children's hospital staff. Methods: This cross-sectional study evaluated 475 staff from Mofid children's hospital from April 20 to May 5, 2020, in Tehran. We collected blood samples for the antibody assay with a rapid test kit. A questionnaire was used to collect demographic and clinical data. Results: Of 475 staff who participated in this study, 25 (5.3%) were diagnosed with COVID-19 by Polymerase Chain Reaction (PCR) and/or CT scan. Besides,140 (29.4%) of them were positive for IgM and/or IgG SARS-CoV-2 antibodies. Conclusions: The seropositivity of antibodies against SARS-CoV-2 among children's hospital staff was higher than expected. Approximately 5% of the participants were diagnosed as definitive positive COVID-19 cases by PCR and/or CT scan, but 29.4% of them were seropositive. The difference is a warning, as it shows seropositive people could be silent sources of transmission during asymptomatic infection.
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Context: This scoping review tries to synthesize early findings on the immunopathogenicity of SARS-CoV-2 to assess the emerging therapies and vaccines by evaluating their impact based on the mechanism of pathogenicity. Methods: The three databases of PubMed, Scopus, and Google Scholar were searched from January 1, 2020, to March 15, 2020. To extract the results from the studies, the content, thematic analysis method was used. In this method, the topics studied were coded in the articles, and then major topics related to the articles were determined. After identifying major issues, the contents of the articles were reviewed. Results: A total of 2,250 articles were retrieved after deleting duplications, and after reviewing the thematic relevance, 45 of them were selected for the final analysis. Topics studied in the articles were classified into four main areas, including “virus entry inhibi-tion and immune response”, “vaccine and treatment targets”, “genome structure similarity to other coronaviruses,” and “pathogen-sis”. Conclusions: Results of this review showed that we have a long way to develop an effective and safe vaccine due to the structural and behavioral complexities of this virus. In the meantime, the scientific community should use results of megatrials, but until their accomplishing them, we have to use results of systematic reviews of randomized controlled trials.
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The laboratory diagnosis of SARS-CoV-2 should be done to confirm coronavirus disease 2019 (COVID-19) in suspected patients. Although several diagnostic methods have been developed in this regard, their accuracy for clinical application is not very clear yet. To compare the diagnostic value of laboratory tests for the detection of COVID-19 infection, this study provides an upcoming review of the newly developed detection methods. Sensitivity, specificity, detection limit, and turn-around-time of these methods are compared and challenges for their application in clinical settings are reviewed. PubMed and Google Scholar web sites were used for the systematic search until April 9, 2020 to identify the published studies based on the following keywords: "Detection", "Coro-navirus 2019", "SARS-CoV-2", and "Sensitivity". Out of 526 results, a total of 54 articles, including 46 studies on detection methods, were considered eligible for the review. The results showed that most of the proposed tests focused on molecular methods, while immunological and point-of-care tests were investigated in 13 studies. There were also a few commercial automated methods for the qualitative detection of SARS-CoV-2 in clinical samples, most of which are not examined in the current review, as no data about their sensitivity and specificity were presented. Although the assessment of publication biases showed that 64% sensitivity and nearly 100% specificity for RT-PCR are close to reality, most of the related reports for serological methods are not valid and further studies are needed to confirm their utility in clinical settings. Moreover, the RT-PCR test alone cannot act as a gold standard because of bias in measurements. Therefore, antibody tests and other proposed methods could be used as supplementary diagnostic tests to improve RT-PCR accuracy. Although clinical findings are invaluable, in many cases, they can provide more valuable supportive data than serological tests. Copyright © 2020, Author(s).
ABSTRACT
After the outbreak of 2019 novel corona virus infection in China, we have the outbreak of disease in Iran and until March 05, 2020 have been reported a total number of confirmed cases more than 3500 and approximately 3.3% deaths. The corona virus disease 2019 (COVID-19) infection as a newly emerging disease in East Asia has caused a great challenge in managing the patients and controlling the disease especially in children. This algorithm is based on the standard diagnosis and treatment strategies for pediatric viral infections and available strategies to prevention of COVID-19 infection. It is hoped that with international co-operation, this global dilemma will end with the least burden of disease. Due to the lack of scientific evidences in children, this algorithm is essential for decision making.