Active clinical trials for "COVID-19"

Coronavirus disease 2019 (COVID-19), represents a medical and psychological challenge to healthcare workers to the limits that it affects their quality of sleep and their general health.

The objective of this study is to develop and evaluate an algorithm which accurately predicts mortality in COVID-19, pneumonia and mechanically ventilated ICU patients.

The search for novel therapies to address the ongoing coronavirus (COVID-19) pandemic is ongoing. No proven therapies have been identified to prevent progression of the virus. Preliminary data suggest that inhaled nitric oxide (iNO) could have benefit in preventing viral progression and reducing reliance on supplemental oxygen and ventilator support. Expanded access allows for iNO to be delivered via the portable INOpulse delivery system for the treatment of COVID-19.

In the context of quarantine with COVID-19, we will study the experience and psychological impact of pain in adult patients living with chronic pain. We will evaluate the link between the question of physical and psychological confinement in the experience of pain in this particular situation

This is a 6-month, 100% remote study that will collect a broad range of data that may provide insight into the COVID-19 global pandemic. Data collected will include participant medical histories, history of prior SARS-CoV-2 infection and exposure to known cases. On an ongoing basis data will be collected on new contacts with known cases, the presence of COVID-19 symptoms, including severity and outcome, and information on the immune system response to SARS-CoV-2 infection.

The study will aim to investigate the relation of platelet count (PLT), mean platelet volume (MPV) and platelet distribution width (PDW) with other acute phase reactant c-reactive protein(CRP) in Coronavirus(COVID-19). As a methodology, patients will be selected in records in one month from the online hospital system. Two groups will be divided before as need for mechanical ventilation or not. The latter comparison will be about three groups as an ambulatory follow-up, hospital follow-up, and intensive care unit follow-up. Parameters will be analyzed according to the groups.

Because of the physiological changes inherent in pregnancy, pregnant women with lower respiratory tract infections often have more worrisome outcomes compared to non-pregnant individuals, including a higher rate of hospital and intensive care unit admissions.

SARS-CoV-2 has now crossed the 1 million number of cases and tens of thousands of deaths. It´s R0 has been calculated between 2 and 5.7 solely based on clinical symptoms but it is estimated to likely be higher. Serologic evidence of infection has not been analyzed.

COVID-19 pandemic has an important impact on the health care provided by the anesthesiologists. Different societies of anesthesiology have provided guidelines and recommendations on how to manage patients who have been tested positive for COVID-19 or suspected to be infected. It is therefore important to know whether these guidelines have been implemented or were possible to be implemented. Otherwise patients who are presenting COVID-19 often show pulmonary complications. The airway management and the ventilation management of these patients can be therefore challenging and can possibly influence their outcome. It is thus important to obtain a large database with information about the characteristics of these patients, how these patients have been managed and their in-hospital outcome. Information regarding the correct implementation of guidelines is as well necessary for future guidance of health care providers.

In December 2019, a new viral disease called COVID-19 emerged. It is caused by the new corona virus SARS-CoV-2. It was initially described in the chinese city of Wuhan. In the following months, the disease developed into a pandemic, which is currently an immense international challenge. So far, there is little scientific evidence on risk stratification, especially on the prognostic value of biomarkers (laboratory-chemical, clinical and digital) with regard to clinical deterioration of patients with COVID-19. Further scientific studies are needed to establish optimal risk stratification and early detection of clinical deterioration. In this study, the investigators aim to observe patients with COVID-19 via SmartWatches on top of their clinical routine. The investigators aim to determine, whether the addition of SmartWatches enhances risk stratification, early detection of complications and prognostics in patients with COVID-19, who have cardiovascular diseases or receive medication with arrhythmogenic risk.