ABSTRACT
Since its emergence in December 2019, scientific knowledge about the SARS-CoV-2 virus has evolved rapidly but, due to the complexity and novelty of this infection and its political and economic stakes, much remains to be clarified. Thousands of studies have already been published and scientific research is constantly evolving. In this multitude of information, we offer an update of the knowledge currently available. A limitation of the propagation, the understanding of the functioning of the virus and its clinical manifestations, the administration of specific treatments, rapid and reliable diagnostic tools are the basis of the fight against this germ, which is still little known today.
ABSTRACT
Viruses causing flu or milder coronavirus colds are often referred to as 'seasonal viruses' as they tend to subside in warmer months. In other words, meteorological conditions tend to impact the activity of viruses, and this information can be exploited for the operational management of hospitals. In this study, we use 3 years of daily data from one of the biggest hospitals in Switzerland and focus on modelling the extremes of hospital visits from patients showing flu-like symptoms and the number of positive flu cases. We propose employing a discrete generalized Pareto distribution for the number of positive and negative cases. Our modelling framework allows for the parameters of these distributions to be linked to covariate effects, and for outlying observations to be dealt with via a robust estimation approach. Because meteorological conditions may vary over time, we use meteorological and not calendar variations to explain hospital charge extremes, and our empirical findings highlight their significance. We propose a measure of hospital congestion and a related tool to estimate the resulting CaRe (Charge-at-Risk-estimation) under different meteorological conditions. The relevant numerical computations can be easily carried out using the freely available GJRM R package. The empirical effectiveness of the proposed method is assessed through a simulation study.
ABSTRACT
Objective: In this study we aimed to analyse if viral particles or pro-inflammatory mediators may cause neurological symptoms of SARS-CoV-2 infection. Background: Coronavirus disease (COVID-19) has been associated with a large variety of neurological disorders. However the mechanisms underlying these neurological complications remain elusive. Design/Methods: We checked for SARS-CoV-2 mRNA by qPCR, SARS-CoV-2-specific antibodies and for 49 cytokines/chemokines/growth factors (by Luminex) in the cerebrospinal fluid (CSF) +/-serum of a cohort of 17 COVID-19 patients with neurological presentation and 55 neurological controls (inflammatory, non inflammatory, multiple sclerosis). Results: We found SARS-CoV-2 mRNA and antibodies specific for this virus in the CSF of 0/17 and 8/16 COVID-19 patients, respectively. The presence of SARS-CoV-2 antibodies was explained by a rupture of the blood brain barrier (passive transfer) in 6/16 (37,5%), but an intrathecal synthesis of SARS-CoV2-specific antibodies was present in 2/17. As compared to SARS-CoV-2-negative NIND patients, the CSF of IND patients exhibited the highest level of chemokines (CCL4, CCL5, CXCL8, CXCL10, CXCL12, and CXCL13), followed the CSF of MS patients (CXCL12, and CXCL13). There was no difference between COVID-19 patients with neurological diseases compared to NIND even if some chemokines (CCL4, CCL5, CXCL8, andCXCL10) tended to be higher than NIND. Interestingly, among COVD-19 patients, the CSF of those with a severe disease (encephalitis/encephalopathy) contained higher levels CXCL8 and CXCL10 than those with other neurological presentations. Conclusions: Our results confirm the absence of obvious SARS-CoV-2 infection of the central nervous system and point to a mild inflammatory reaction reflecting an astrocytic reaction.
ABSTRACT
Previously limited to symptomatic patients, our hospital introduced a universal admission screening strategy for coronavirus disease 2019 on 25 April 2020. All patients were tested by RT-PCR. We observed decreased viral loads linked to increased screening of asymptomatic patients highlighting the fact that viral load values could guide infection control decisions.
ABSTRACT
BACKGROUND: To face the current COVID-19 pandemic, diagnostic tools are essential. It is recommended to use real-time RT-PCR for RNA viruses in order (a) to perform a rapid and accurate diagnostic, (b) to guide patient care and management and (c) to guide epidemiological strategies. Further studies are warranted to define the role of serological diagnosis and a possible correlation between serological response and prognosis. OBJECTIVES: The aim was to guide clinical microbiologists in the use of these diagnostic tests and clinicians in the interpretation of their results. SOURCES: A search of literature was performed through PubMed and Google Scholar using the keywords SARS-CoV-2, SARS-CoV-2 molecular diagnosis, SARS-CoV-2 immune response, SARS-CoV-2 serology/antibody testing, coronavirus diagnosis. CONTENT: The present review discusses performances, limitations and use of current and future diagnostic tests for SARS-CoV-2. IMPLICATIONS: Real-time RT-PCR remains the reference method for diagnosis of SARS-CoV-2 infection. On the other hand, notwithstanding its varying sensitivity according to the time of infection, serology represents a valid asset (a) to try to solve possible discrepancies between a highly suggestive clinical and radiological presentation and negative RT-PCR, (b) to solve discrepancies between different PCR assays and (c) for epidemiological purposes.