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of hospitalisation/death as a measure of more severe illness was confirmed for males, elderly, and for individuals with comorbidities. Flu vaccination seemed to have had a protective effect while pneumococcal vaccination likely identified a group of high-risk patients to be actively monitored. DRB18 For patients infected in the territory, different hospitalisation strategies were implemented by the regional health districts.
to explore clinical and epidemiological characteristics associated with an imaging feature of COVID-19 pneumonia at disease onset, in order to identify factors that may be evaluable by general practitioners at patient's home, and which may lead to identify a more severe disease, needing hospitalization.
this is a retrospective/prospective observational hospital cohort.
the study population includes all patients consecutively admitted to the emergency department of Città della salute e della scienza University Hospital from 01.03 to 31.05.2020 with a confirmed diagnosis of SARS-CoV-2 infection.
patients were classified in two groups according to the findings of X-ray imaging, lung ultrasound and chest computer tomography, as pneumonia or not pneumonia patients.
in multivariable analysis, factors most strongly associated with emergency department admission with pneumonia were age, oxygen saturation <90% (adj OR 4.16 ;95%CI 1.44-12.07), respiratory rate >24 breaths/min (adj OR 6.50; 95%CI 2.36-17e, from hospital to home. In this scenario it is important to identify all symptoms and signs associated with COVID-19 pneumonia that would facilitate the decision-making process of GPs leading to patients hospitalization.
the emergency due to SARS-CoV-2 pandemic struck the national and regional health system that needed an effort to reorganise and increase resources to cope with a sudden, uncertain, and previously unknown situation. This study was conducted in the immediate aftermath of this difficult period.
to describe clinical characteristics, short-term outcomes, and management of SARS-CoV-2 positive patients that accessed the emergency department (ED) of the San Luigi Gonzaga hospital of Orbassano (Turin district, Piedmont Region, Northern Italy) in March and April 2020. Furthermore, this study aimed at investigating if a difference in patients characteristics, clinical management, and outcomes was present during time.
comparison of different periods in a clinical cohort.
for each patient who accessed the ED and tested positive for SARS-CoV-2 swab, the ED medical record was collected and a descriptive analysis was performed on demographical characteristics, pre-existing comorbidities, parameters measured at triage. On the contrary, in April an increasing need of hospitalisation in low intensity of care beds was observed, whereas mild cases stopped to access the ED.
the results of this study suggest that in few weeks of COVID-19 epidemic both management of the patients at the hospital level - and probably at territorial level resulting in a different population who accessed to the ED - and the clinical characteristics of the COVID-19 patients changed.
the results of this study suggest that in few weeks of COVID-19 epidemic both management of the patients at the hospital level - and probably at territorial level resulting in a different population who accessed to the ED - and the clinical characteristics of the COVID-19 patients changed.
to avoid a new spread of the SARS-CoV-2 infection, the post lockdown period requires the implementation of effective strategies for the case finding and contact tracing. The presence of asymptomatic subjects in the population, that are responsible for about 30% of the new infections, may complicate this phase. Serological tests for the measurement of immune response could represent an effective tool for the rapid monitoring of the population with asymptomatic infections and for estimating the proportion of immune in a territory, too.
to describe the distribution of the immune response to SARS-CoV-2 infection in the population of the Municipality of Borgosesia (Piedmont Region, Northern Italy) and to estimate the efficacy of this strategy for the identification of asymptomatic cases.
Cross-sectional study with administration of a rapid test to assess the seroprevalence of anti-SARS-CoV-2 IgG/IgM antibodies.
all subjects resident in Borgosesia over the age of 18, where invited to participate. A rapid se test for the detection of type M and type G antibodies on peripheral blood, confirmed the population-based estimates reported in literature, in particular with the results of the Italian survey of seroprevalence. Furthermore, the implementation of this test allowed the identification and isolation of completely asymptomatic subjects, that could have been identified only through screening with tests for viral RNA.
the seroprevalence values estimated for subjects residing in the city of Borgosesia which underwent the rapid test for the detection of type M and type G antibodies on peripheral blood, confirmed the population-based estimates reported in literature, in particular with the results of the Italian survey of seroprevalence. Furthermore, the implementation of this test allowed the identification and isolation of completely asymptomatic subjects, that could have been identified only through screening with tests for viral RNA.
facing the SARS-CoV-2 epidemic requires intensive testing on the population to early identify and isolate infected subjects. Although RT-PCR is the most reliable technique to detect ongoing infections, serological tests are frequently proposed as tools in heterogeneous screening strategies.
to analyse the performance of a screening strategy proposed by the local government of Tuscany (Central Italy), which first uses qualitative rapid tests for antibody detection, and then RT-PCR tests on the positive subjects.
a simulation study is conducted to investigate the number of RT-PCR tests required by the screening strategy and the undetected ongoing infections in a pseudo-population of 500,000 subjects, under different prevalence scenarios and assuming a sensitivity of the serological test ranging from 0.50 to 0.80 (specificity 0.98). A compartmental model is used to predict the number of new infections generated by the false negatives two months after the screening, under different values of the infection reproduction number.
assuming a sensitivity equal to 0.80 and a prevalence of 0.3%, the screening procedure would require on average 11,167 RT-PCR tests and would produce 300 false negatives, responsible after two months of a number of contagions ranging from 526 to 1,132, under the optimistic scenario of a reproduction number between 0.5 to 1. Resources and false negatives increase with the prevalence.
the analysed screening procedure should be avoided unless the prevalence and the rate of contagion are very low. The cost and effectiveness of the screening strategies should be evaluated in the actual context of the epidemic, accounting for the fact that it may change over time.
the analysed screening procedure should be avoided unless the prevalence and the rate of contagion are very low. The cost and effectiveness of the screening strategies should be evaluated in the actual context of the epidemic, accounting for the fact that it may change over time.
since the beginning of the COVID-19 pandemic, the importance of developing a serological test has emerged and a debate on test accuracy and reliability become an issue widely discussed in the media. The importance of communication during this pandemic has been strongly underlined by public health experts, epidemiologists, media expert, psychologists, sociologists. In the case of serological tests, there are several aspects that have to be considered why we perform the test, what population is tested, which are the parameters conditioning the results and their interpretation.
to show how to quantify the uncertainty related to the validity of the serological test with respect to its predictive value and in particular the positive predictive value.
the evaluation of a qualitative diagnostic test includes four distinct assessments accuracy, empirical evidence, practical importance, and prevalence of the pathology. Accuracy is measured by the sensitivity and specificity of the test; empirical evidence is quausing the molecular test to verify the presence of the virus in those tested positive. The case of screening of general population is more complex and of major interest for the implication it may have on individual behaviours and on the implementation of public health interventions by the political decision makers. A positive result has, per se, no practical value for individuals since the probability of being really infected by the virus is low. The uncertainty associated with the different estimates (sensitivity, specificity and disease prevalence) play a double role it is a key factor in defining the informative content of the test result and it might guide the individual actions and the public policy decisions.As the Coronavirus situation (COVID-19) continues to evolve, many questions concerning the factors relating to the diffusion and severity of the disease remain unanswered.Whilst opinions regarding the weight of evidence for these risk factors, and the studies published so far are often inconclusive or offer contrasting results, the role of comorbidities in the risk of serious adverse outcomes in patients affected with COVID-19 appears to be evident since the outset. Hypertension, diabetes, and obesity are under discussion as important factors affecting the severity of disease. Air pollution has been considered to play a role in the diffusion of the virus, in the propagation of the contagion, in the severity of symptoms, and in the poor prognosis. Accumulating evidence supports the hypothesis that environmental particulate matter (PM) can trigger inflammatory responses at molecular, cellular, and organ levels, sustaining respiratory, cardiovascular, and dysmetabolic diseases.To better understand the intricate 2 and other respiratory viruses. This work is intended to assist in the development of appropriate investigative approaches to protect public health.Air pollution is one of the leading causes of death worldwide, with adverse effects related both to short-term and long-term exposure. It has also recently been linked to COVID-19 pandemic. To analyze this possible association in Italy, studies on the entire area of the peninsula are necessary, both urban and non-urban areas. Therefore, there is a need for a homogeneous and applicable exposure assessment tool throughout the country.Experiences of high spatio-temporal resolution models for Italian territory already exist for PM estimation, using space-time predictors, satellite data, air quality monitoring data.This work completes the availability of these estimations for the most recent years (2016-2019) and is also applied to nitrogen oxides and ozone. The spatial resolution is 1x1 km.The model confirms its capability of capturing most of PM variability (R2=0.78 and 0.74 for PM10 e PM2.5, respectively), and provides reliable estimates also for ozone (R2=0.76); for NO2 the model performance is lower (R2=0.57).