There are about 36633 clinical studies being (or have been) conducted in France. The country of the clinical trial is determined by the location of where the clinical research is being studied. Most studies are often held in multiple locations & countries.
Since the start of this epidemic, numerous clinical and fundamental studies have been conducted to best adapt the individual management of COVID-19 cases [1-6]. In parallel with this work, it is necessary to better understand the characteristics of the epidemic in the general population but also in the population working in healthcare settings more exposed to SARS-CoV-2. Seroprevalence studies are therefore particularly useful in order to understand the collective immunization rate and the factors that can explain this immunization.
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.
The inflammation is central in COVID-19 infections. Our aim is to evaluate the clinical value of measuring inflammation by using serum protein electrophoresis (SPE). SPE evaluation of inflammation should be able to predict outcome, follow up evolution or treatment efficacy in patients with coronavirus infection and thus anticipate their evolution to severe viral infection and allow an optimal clinical management. SPE inflammation diagnostics will be benchmarked with other diagnostics of inflammation, currently used more routinely.
According to epidemiological models, the seroprevalence of SARS-CoV-2 infection in Île-de-France as of 11 May was between 10 and 15%. Preliminary data on the number of professionals evicted from nurseries on suspicion of COVID-19 (on clinical grounds) seem to be of the same order of magnitude, but need to be confirmed by a biological technique. Children would be susceptible to infection but often asymptomatic.
Sickle cell disease (SCD) is the most common genetic disease in France. Its consequences on patient's life-course and quality of life need to be precisely identified among French patients and their family to be able to improve patients care according to their specific needs. The aim of the study is to accurately describe the impact of SCD on quality of life of patients living in France, or their family (for minor patients). The consequences of the disease on professional life, education and material condition of patients or their parents will be described by the patients themselves.
Objective: To evaluate the performance of CT parameters (SBAC-L1 and fractal analysis) compared to BMD (gold standard) to detect vertebral fractures in rheumatoid arthritis
Despite the expert recommendation about rigorous monitoring of tracheal cuff pressure using a continuous or intermittent technique, cuff underinflation and overinflation are common increasing the risk of microinhalation and tracheal ischemia. All these complications are associated with high morbidity and mortality in ICU.
It has been reported in several studies that ionized hypomagnesemia is associated with higher morbidity and mortality rates. During continuous renal replacement therapy with regional citrate anticoagulation (CRRT-RCA), the loss of magnesium has been reported to not be covered by magnesium concentration in ordinary dialysis fluid. This may lead to ionized hypomagnesemia. However the incidence of ionized hypomagnesemia in patients requiring CRRT-RCA remains unclear and need to be estimated to determine if ionized magnesium monitoring could be of interest. This study aim to assess the incidence of ionized hypomagnesemia induced by CRRT-RCA.
The Attention Deficit and Hyperactivity Disorder (ADHD) is a frequent disorder in children and adolescents. The diagnosis is clinical with the input of several informants (child, family, teachers, …). ADHD is a risk factor for academic difficulties, school dropout, social isolation, injury, oppositional behaviour. In school-age children and adolescents having moderate to high or persistent impairment despite psycho-educational support and environmental modification, the first-line treatment is methylphenidate. Group or individual cognitive behavioural therapy for parents and/or children and adolescents is recommended for co-occurring disorders and persistent impairment. In France, the initiation of methylphenidate requires an annual hospital prescription by a paediatrician or psychiatrist, and a regular medical supervision (weight, heart rate, blood pressure, …). At least once a year, the indication of methyphenidate needs to be re-evaluated and confirmed at the hospital. In case of lack of efficiency and/or poor tolerance, therapeutic alternatives including non-psychostimulants should be considered. A randomized controlled trial evaluated the dose of methylphenidate received over a period of 13 months. It was observed that the "combined treatment" group (methylphenidate + psychosocial treatments) received a lower average dose of methylphenidate than the "methylphenidate alone" group. These results are difficult to extrapolate to the general population, due to the study protocol (regular monitoring of ADHD symptoms with the aim of total remission). For a global consideration of children's needs, it is important to better understand the interactions between these two therapeutic approaches. To participate in the study, parents will have to complete an online questionnaire. This questionnaire contains anamnestic data collection, questionnaires to assess ADHD symptoms and parenting practices.
The project is a part of the "Protocol for a multicentre study of nosocomial SARS-CoV2 transmission: The NOSO-COR Project" registered in ClinicalTrials (NCT04290780). In the current pandemic context, medical resources have often been exceeded. Developing, using artificial intelligence techniques, an algorithm capable of detecting patients at risk of acute respiratory distress following Sars-Cov2 infection could help physicians to optimize the treatment of patients and health decision-makers to optimize resources. Thus, the goal of this project is to create a prediction model using artificial intelligence to predict an unfavorable evolution of Covid-19 at the hospital admission of patients