View clinical trials related to Covid19.
Filter by:Since the SARS-CoV-2 infection is relatively new, the long term attributable burden related to COVID19 has not been investigated yet. To date, in patients with COVID-19 and their family members, there is little information on the functional status, cognitive ability, pattern of return to work, and health related quality of life after the ICU admission. This study aims to describe the psychological wellbeing, physical - and social functioning of COVID-19 ICU survivors and their family members up to 12 months following ICU discharge.
With the emergence of SARS-CoV-2 and the COVID-19 pandemic, there is an urgent need to understand the impact of infection on immunodeficient individuals. Whilst co-morbidities (such as diabetes, cancer, arterial hypertension, heart disease...) have been documented in people infected with SARS-CoV-2, there is currently no information on the consequences and outcomes for individuals with primary immunodeficiencies (PID). Following the 1st phase of the survey (launched by Isabelle Meyts (ESID), Nizar Mahlaoui (CEREDIH & IPOPI) and Kate Sullivan with Stuart Tangye (IUIS), that gave an idea of the number of affected PID patients and the impact of SARS-CoV-2 and directly focusing on obtaining this top level of information), we are launching the 2nd phase: "COPID19". COPID19 survey is a secured online GDPR compliant platform based in Paris (Imagine Institute). It has been approved by the Paris-Necker-Enfants malades IRB and Ethics Committee. However, this retrospective survey is designed for global distribution. Data can be entered by a health care professional (mostly clinicians) through a personal login and password. Each documenting person will have access to his/her own patients' data. COPID19 require a greater level of information than the 1st phase. The eCRF will be open to evolutions depending on progresses in our knowledge of this pandemic.
Association of Comorbidities with unfavorable COVID19 outcomes as admission to intensive care, invasive ventilation or death.
PHENOTYPE is an investigator-led, observational cohort study which aims to explore the long-term outcomes of patients with COVID-19 infection and to identify potential risk factors and biomarkers that can prognosticate disease severity and trajectory.
The investigators will analyze the presence of antibodies against SARS-COV2 in physicians working in emergency and intensive care medicine and in those who treat Covid 19 patients.
The overall objective of this project is to develop an emergent treatment protocol using adoptive T-cell therapy for the treatment of severe COVID-19. The central hypothesis is that SARS-CoV-2 specific T cells from convalescent donors who have recovered from COVID-19 can be manufactured expeditiously and these cells are safe and effective for the treatment of severe SARS-CoV-2 infections.
Novel Coronavirus (2019nCoV) or Severe Acute Respiratory Syndrome-Coronavirus-2 (SARS-CoV-2) that causes Coronavirus Disease 2019, or known as Covid-19 has recently become a global health emergency since it was first detected in Wuhan, the People Republic of China in December 2019. Since then, the prevalence has rapidly increased worldwide. In Indonesia, by the end of April 2020, around 10,000 patients have been tested positive for Covid-19 infection, with a case fatality rate of around 8%. The pathogenesis of Covid-19 is still under investigation and to our understanding, ACE2 receptors in the alveoli serve as the binding site of the S-protein of envelope spike virus of SARS-CoV-2. TMPRSS2 enzyme aids the fusion between cell membrane and capsid of the virus, allowing penetration of virus into the cell. Vesicles containing virion fuse with cell membrane and released as new virions. Cytopathic effect of the virus and its ability to overcome immune response determines the degree of infection. Differences in immunological profile among degrees of severity of Covid-19 may vary especially for the number of pro-inflammatory cytokines such as tumor necrosis factor alpha (TNF-α), interleukin (IL)-1, IL-6, IL-8, leukemia-inhibiting factors (LIF), immunological markers such as CXCR3+CD4+, CXCR3+CD8+ T cell and CXCR3+ NK cells, implying the ongoing cytokine storm. The previous studies also found increasing number for infection markers such as procalcitonin, ferritin, and C-reactive protein. The decreasing number of anti-inflammatory cytokines in such as IL-10 also supports this finding. Previous studies have shown immunomodulating and anti-inflammatory capacity of the mesenchymal stem cells (MSCs). MSCs contributed to the shifting of pro-inflammatory Th2 into anti-inflammatory Th2. One of the most recent study on the usage of MSCs on Covid-19 patients showed increased expression of leukemia inhibitory factor (LIF), which give rise to inhibitory effect of T lymphocyte and natural killer (NK) cell population. Vascular epithelial growth factor (VEGF) is found increasing following MSCs administration, which indicates the ability to improve the disrupted capillaries due to SARS-Cov-2 infection. The ability of MSCs in differentiating to alveolar cells is proven by the presence of SPM and SPC2, surfactant proteins produced by type II alveolar cells. MSCs are unable to be infected by SARS-CoV-2 since they don't have ACE2 receptors and TMPRSS2 enzyme.
Context: Based on currently available data, most of national health authorities and consensus expert groups have written guidelines for the management of cancer patients in the context of COVID. However, the preparation of these guidelines was limited by the scarcity of solid epidemiological data. For example, the experts were uncomfortable to formulate precise guidelines on which anti-cancer treatment should be interrupted or replaced, on which patients, and how to adapt supportive drug prescriptions. Objectives : - To measure the excess risk of mortality and morbidity of patients with a history of cancer among patients hospitalized for a SARS-CoV-2 infection. - To identify factors associated with the risk of death and morbidity among patients with cancer. Methodology: Retrospective inclusion of n=200 cancer patients hospitalized for COVID and n=400 matched (based on age, gender, and comorbidity) non-cancer patients hospitalized for COVID. Two analyses will be performed (after the inclusion of n=100 and n=200 patients with cancer). A logistic modeling of the odds ratio of death associated to the exposition factor (i.e. cancer) and adjusted for the matching parameters (age, gender, comorbidities) will be proposed. We will then look for the factors (related to the patients, the cancer or the treatment) that modify the odds radio. Expected results: The data generated will help the medical and scientific community to evaluate the increasing risk of cancer patients infected by SARS-CoV-2 compared to the non-cancer population, to identify patients at higher risk of severe infection, but also the anticancer treatments associated with an increased risk of severe infections. Impact: These data will contribute to guide the future recommendations concerning cancer patient's care in the context of the COVID-19 pandemic. There is a real risk that the SARS-CoV epidemic, or other respiratory viruses epidemic, will become recurrent in the future. Thus, it is of crucial importance for now and for the future to know which are the major factors associated with severe infections
The intent of this study was to examine the health status of individuals who had been confirmed with COVID-19 in the year after their recovery. Parameters studied included serum levels of SARS coronavirus 2 (SARS-CoV 2) IgG antibody, SARS-CoV-2 nucleic acid test, hematology indicators (blood routine, liver function, kidney function, myocardial enzymes, coagulation function, etc), lung function test, imaging data and airway microbiota data. In addition, we explored the systematic Immune & Inflammation in some of the individuals recovering from COVID-19.
Approximately 15% of patients with SARS-CoV-2 infection / COVID-19 develop a severe clinical course. This leads to hospitalization and potentially life threatening complications such as pneumonia and respiratory failure. Predictors for early detection and risk stratification are urgently needed. Moreover, only scarce information is available for long-term follow-up and late complications associated with infection. We therefore aimed to find predictors for severe courses of the novel disease as well as to establish strategies for therapeutic monitoring and follow-up.