Articles: coronavirus.
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It is still not known how an immunosuppressive state affects the response to coronavirus disease 2019 (COVID-19) in children and adolescents. The aim of this study was to evaluate clinical characteristics, outcomes, and follow-up results of COVID-19 in pediatric patients with a history of immunocompromise or malignancy, retrospectively. ⋯ Immunocompromised children and adolescents with COVID-19 should be monitored closely, especially those with an end-stage malignancy, low LYM count, or high CRP and ferritin levels.
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The coronavirus disease 2019 pandemic has produced an unprecedented amount of scientific research as well as a high number of article retractions. Social and news media have been used to disseminate scientific research, and this can include retracted or withdrawn research. This risks the persistence of low-quality research and may contribute to controversial ideas or conspiracy theories. ⋯ A significant, positive correlation was observed among Scimago Journal Rank, Immediacy Index, and Journal Citation Index, and total article mentions.
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The effect of socio-economic factors, ethnicity, and other factors, on the morbidity and mortality of COVID-19 at the sub-population-level, rather than at the individual level, and their temporal dynamics, is only partially understood. Fifty-three county-level features were collected between 4/2020 and 11/2020 from 3,071 US counties from publicly available data of various American government and news websites: ethnicity, socio-economic factors, educational attainment, mask usage, population density, age distribution, COVID-19 morbidity and mortality, presidential election results, and ICU beds. We trained machine learning models that predict COVID-19 mortality and morbidity using county-level features and then performed a SHAP value game theoretic importance analysis of the predictive features for each model. ⋯ Thus, socio-economic features such as ethnicity, education, and economic disparity are the major factors for predicting county-level COVID-19 mortality rates. Between counties, low variance factors (e.g., age) are not meaningful predictors. The inversion of some correlations over time can be explained by COVID-19 spreading from urban to rural areas.
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The impact of the coronavirus disease 2019 (COVID-19) on the cardiovascular system has been highlighted since the very first weeks after the severe acute respiratory syndrome coronavirus 2 identification. We reviewed the influence of COVID-19 pandemic on cardiac arrest, both considering those occurred out of the hospital (OHCA) and in the hospital (IHCA). ⋯ Cardiac arrest occurrence and survival were deeply affected by the pandemic. Informative campaigns to the population to call EMS in case of need and the re-allocation of the prehospital resources basing on the pandemic trend are needed to improve survival.