Active clinical trials for "Respiratory Tract (Lung and Bronchial) Diseases"

Description of the adaptation of ICUs in the region of Madrid to que surge in demand of critical care due to COVID-19

The Coronavirus disease 2019 (COVID-19) had its outbreak in late 2019 in China and is considered a biological disaster. With medical organizations and staff on the frontline, the investigators should conduct assessments, for the different tiers of medical staff, patients, and community residents, on the short- term psychological and mental disabilities or danger factors that they might have faced. As such, the investigators can design and establish a set of evaluative indicators of the risks of biological disasters, and strategies to manage guide and cope, and internal/ external testing strategies. These work in guaranteeing quality and performance, and as such, establishing "Digital Platform for Integrated Research of Coronavirus disease 2019 (COVID-19)".

The investigators will follow a single prospective cohort of 50 Health Care Workers in the Hospital Italiano de Buenos Aires (Argentina) from May 15th to August 31st 2020 using antibody testing for SARS-CoV-2 IgM and IgG at baseline and every 2 weeks in order to assess the incidence of COVID-19, the prevalence of anti-SARS-CoV-2 antibodies (IgM and IgG) and incidence of reinfection or reactivations of previous COVID-19 using viral gene sequencing in this cohort.

It is not yet known whether an analysis of daytime sleepiness over the course of the day can predict the diagnosis or severity of sleep apnea. The goal of the study is to examine whether a psychometric determination of daytime sleepiness can adequately and practicably record daytime sleepiness in patients with mainly sleep apnea in comparison to other standardized methods.

Establish a COVID-19 biorepository to aid in developing our knowledge of the disease.

To build simple and reliable predictive scores for intensive care admissions and deaths in COVID19 patients. These scores adhere to the TRIPOD (transparent reporting of a multivariable prediction model for individual prognosis or diagnosis) reporting guidelines. The outcomes of the study are (i) admission in the Intensive Care Unit admission and (ii) death. All patients admitted in the Emergency Department with a positive reverse transcription-polymerase chain reaction SARS-COV2 test were included in the study. Routine clinical and laboratory data were collected at their admission and during their stay. Chest X-Rays and CT-Scans were performed and analyzed by a senior radiologist. Generalized Linear Models using a binomial distribution with a logit link function (R software version X) were used to develop predictive scores for (i) admission to ICU among emergency ward patients; (ii) death among ICU patients. A first panel of Number Models with the highest AIC (BIC) was preselected. Ten-fold cross-validation was then used to estimate the out-of-sample prediction error among these preselected models. The one with the smallest prediction error was in the end singled out .

The role of ECMO in the treatment of patients with severe COVID-19 (Acute Respiratory Distress Syndrome (ARDS) and/or acute refractory heart failure) is not yet known. The present study will aim to report the results of the ECMO management of the most severe forms of COVID-19 through the first French ECMO registry.

Observational and prospective study with one year of follow-up of the cohort of workers of the CSdM, including workers of subcontracted companies working in the Hospital of Mataró (2,300 workers approximately) and with controls at baseline and at 3, 6, 9 and 12 months. All CSdM workers will be invited to participate by e-mail and by announcements in the corporate website. A space will be set up on the corporate intranet where workers will be informed about the study, will be able to give their informed consent and will be able to answer an electronic questionnaire regarding socio-demographic, clinical and labour personal characteristics. Once the questionnaire answered, participants will be authorized to schedule a blood extraction. Prevalence of antibodies against SARS-CoV-2 will be analyzed (IgA, IgM, IgG). PCR will be also performed for IgM and IgA positive subjects.

Ultrasound imaging of the lung (LUS) and associated tissues has demonstrated clinical utility in COVID-19 patients. The aim of the present study was to evaluate the possibilities of a portable pocket-sized ultrasound scanner in the evaluation of lung involvement in patients with COVID-19 pneumonia, in comparison with a high end ultrasound scanner. Statisical analysis will be performed with Stata for Windows V 16 (Stata corp, Texas College, TX). Power size estimation using Medcalc 19.3.1, (MedCalc Software Ltd, Ostenda, B) showed that hat 34 patients would be required for the comparison of the two methods using the Bland-Altman method assuming a mean difference in total score of 1±1, a false positive rate (α) of 0.05 and a false negative rate of 0.1 (β=0.9).

A questionnaire is developed based on the literature and clinical experience. Initial testing will be performed on 20 patients. The first and second sectors include patient demographics and patient clinical diagnosis/scheduled surgery, respectively. The following sectors examine the process of delivering the cancellation/re-scheduling; care after cancellation and whether the procedure conducted elsewhere or not; and the impact of cancellation on patient health, career, and financial aspects.