COVID-19 Clinical Trials and Expanded Access

This study aims to identify the preference of the class modalities (classroom or online) in undergraduate and graduate students. Additionally, to explore if the presence of any mental state alterations such as depression or anxiety due to the COVID-19 pandemic can alter their perception of academic performance.

Covid 19 is a pandemic infection developed in late 2019

On 12 January 2020, the World Health Organization (WHO) confirmed that a novel coronavirus was the cause of a respiratory illness in a cluster of people in Wuhan City, Hubei Province, China, which was reported to the WHO on 31 December 2019. There is evidence of a high prevalence of psychiatric comorbidities in Fibromyalgia (FM )(especially depression, anxiety, post-traumatic stress disorder), which are associated with a worse clinical profile. In these challenging times of COVID-19, anxiety increased among the general population. Fibromyalgia patients are more at risk of developing anxiety in these difficult times. This might result in more frequent visits to the rheumatology clinics with an exacerbation of their chronic pain syndrome.

The main objective of our project is to investigate the evolution of psychosocial, cardiovascular and immune markers in healthcare with different levels of exposure to the COVID-19 pandemic.

In-vitro studies revealed that nafamostat mesylate has antiviral activity against Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and anti-inflammatory and anti-coagulation effect. However, there is no clinical studies on the efficacy of nafamostat in patients with COVID-19. This study is conducted to evaluate the clinical efficacy of nafamostate mesylate in adult patients hospitalized with COVID-19 pneumonia.

The objective of this study is to obtain data on the efficacy of the Vielight RX Plus in decreasing time to recovery of symptoms in subjects with COVID-19. The study will be conducted among COVID-19 positive subjects at home in self-isolation via electronic data collection (EDC). There will be no physical contact between the subjects and the Qualified Investigator (QI) or other study staff. This study aims to demonstrate that the Vielight RX Plus is a useful adjunct to standard of care (SOC). We hypothesize that the Vielight RX Plus will accelerate recovery and reduce viral infection severity.

This is an observational, prospective, non-randomized, non-significant risk study collecting voice recordings from subjects who are being tested for COVID-19 by laboratory analysis of specimens obtained by nasal or naso-pharyngeal (NP) swab. Patients record their voices through an app on their mobile phone. Patients and health care providers will be blinded to the swab test results during Phase 2 of the study.

The possibility to use widespread and simple chest X-ray (CXR) imaging for early screening of COVID-19 patients is attracting much interest from both the clinical and the Artificial intelligence community. In this study we provide insights and also raise warnings on what is reasonable to expect by applying deep learning to COVID classification of CXR images. We provide a methodological guide and critical reading of an extensive set of statistical results that can be obtained using currently available datasets. In particular, we take the challenge posed by current small size COVID data and show how significant can be the bias introduced by transfer-learning using larger public non- COVID CXR datasets. We also contribute by providing results on a medium size COVID CXR dataset, just collected by one of the major emergency hospitals in Northern Italy during the peak of the COVID pandemic. These novel data allow us to contribute to validate the generalization capacity of preliminary results circulating in the scientific community. Our conclusions shed some light into the possibility to effectively discriminate COVID using CXR.

In most diseases, older people have less typical symptomatology than that described for younger people. The investigators therefore hypothesize that within the framework of coronavirus disease 19, the clinical pictures in the elderly will present specificities that will need to be described. Moreover, since infection by the SARS-CoV-2 virus is new to humans, the investigators do not yet have sufficient information on the fate of the elderly, in terms of loss of autonomy, rehospitalization, institutionalization, mortality, etc. the investigators therefore assume that the clinical pictures in the elderly will present specificities that will need to be described. The investigators hypothesize that an acute infection of this type will have short-, medium-, and long-term repercussions in the elderly.

In December 2019, a novel coronavirus (SARS-CoV-2) emerged in Wuhan, Hubei, China, and now spreads across international borders. As of 11 April 2020, the total global number of confirmed SARS-CoV-2 cases reached 1,521,252 (92,798 deaths); with 65,081 (7,978 deaths) being reported in the United Kingdom. COVID-19 is the name of the disease associated with SARS-CoV-2 infection and includes a spectrum of illness that ranges from mild infection to severe pneumonia that can progress to respiratory failure and Acute Respiratory Distress Syndrome (ARDS) or septic shock. Between 8 to 15% (depending on geographical setting) of all SARS-CoV-2 positive cases can be classified as severe or necessitating intensive care unit (ICU) admission. In the early stages of the outbreak unfolding, several retrospective case studies and cases series carried out in China reported that those who died were more likely to be male, and more likely to have underlying comorbidities. Prevalence studies conducted in the US and Italy show similar trends in the distribution of comorbidities among SARS-CoV-2 severe cases; adding obesity (BMI>30) to the list of factors potentially associated with disease severity. However, the relative importance of different underlying health conditions remains unclear owing to inadequate adjustment for important confounding factors such as age, sex, and smoking status. We propose a cohort study to evaluate predictors, clinical evolution and excess of mortality of SARS-CoV-2 in hospitalised patients, with two main workstreams- the first looking at all patients admitted to SGHFT and the second looking at patients admitted to ITU with respiratory failure.