Acta bio-medica : Atenei Parmensis
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Italy is one of the most exposed countries worldwide to COVID-19, and Lombardy is the most affected region in Italy. In this context, Fondazione IRCCS Policlinico San Matteo in Pavia, one of the largest University hospitals in the region, has been involved in the management of the outbreak since its inception. Immediately after the communication of the first Italian COVID-19+ patient, the Pediatric Unit has been completely reorganized to face the approaching outbreak. The optimization of the Pediatric Unit resources for COVID-19 emergency is reported as an example to safely preserve health activity during the pandemic.
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COVID-19 first presented in Wuhan, Hubei Province, China in December 2019. Since then, it has rapidly spread across the world, and is now formally considered a pandemic. As of 4th of May more than 3.2 million people have been infected and over 250,000 people has died. ⋯ To date, more than 9,000 academic papers have been published since December 2019. The quality of publications varies from a plane letter to editor to randomized studies. This review aims to analyse the current published literature related to COVID-19 and assess the quality of such articles.
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Kawasaki disease is an acute systemic febrile illness of unknown aetiology, which usually affects children under 5 years of age. It is well known that Kawasaki disease is one of the most common causes of acquired heart diseases in children in the developed countries. Many studies, have suggested that heterogeneous infectious agents, such as common viruses, may trigger Kawasaki disease in young children with genetic background. Nowadays we are facing a pandemic caused by a Novel Coronavirus named SARS-CoV-2. Consequently, it could be possible that once exposed to this new coronavirus, some children, genetically predisposed, may mount an exaggerated inflammatory response which clinically manifests as Kawasaki Disease. ⋯ Usually, infants and children present milder symptoms of SARS-CoV-2 disease with a better outcome than adults. At variance, some children may be genetically disposed to a more robust inflammatory response to SARS-CoV-2, similar to Kawasaki disease. In fact, Kawasaki disease is the result of an abnormal immune response, in susceptible children, to an external trigger such as an infection. Thus, according to the pathogenesis of Kawasaki disease, paediatricians may expect an increase in cases of Kawasaki disease during the COVID-19 pandemic.
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Digital epidemiology is increasingly used for supporting traditional epidemiology. This study was hence aimed to explore whether the Google search volume may have been useful to predict the trajectory of coronavirus disease 2019 (COVID-19) outbreak in Italy. ⋯ The peaks of Google searches for the three terms predicted by 3 weeks that of newly diagnosed COVID-19 cases. The peaks of weekly Google searches for "febbre" (fever), "tosse"( cough) and "dispnea" (dyspnea) were 1.7-, 2.2- and 7.7-fold higher compared to the week before the diagnosis of the first national case. No significant correlation was found between the number of newly diagnosed COVID-19 cases and Google search volumes of "tosse" (cough) and "febbre" (fever), whilst "dyspnea" (dyspnea) was significantly correlated (r= 0.50; p=0.034). The correlation between newly diagnosed COVID-19 cases and "tosse" (cough; r=0.65; p=0.008) or "febbre" (fever; 0.69; p=0.004) become statistically significant with a 3-week delay. All symptoms were also significantly inter-correlated. Conclusions; Continuously monitoring the volume of Google searches and mapping their origin can be a potentially valuable instrument to help predicting and identifying local recrudescence of COVID-19.
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Observational Study
Routine blood analysis greatly reduces the false-negative rate of RT-PCR testing for Covid-19.
The COVID-19 outbreak is now a pandemic disease reaching as much as 210 countries worldwide with more than 2.5 million infected people and nearly 200.000 deaths. Amplification of viral RNA by RT-PCR represents the gold standard for confirmation of infection, yet it showed false-negative rates as large as 15-20% which may jeopardize the effect of the restrictive measures taken by governments. We previously showed that several hematological parameters were significantly different between COVID-19 positive and negative patients. Among them aspartate aminotransferase and lactate dehydrogenase had predictive values as large as 90%. Thus a combination of RT-PCR and blood tests could reduce the false-negative rate of the genetic test. ⋯ The study represents a preliminary work aiming at the development of strategies that, by combining RT-PCR tests with routine blood tests, will lower or even abolish the rate of RT-PCR false-negative results and thus will identify, with high accuracy, patients infected by COVID-19.