The aim of the project is to better understand the Covid-19 inpatient course of the disease and to quickly identify the positive experiences in the treatment in order to update guidelines for the treatment and use of medication.
The exponentially increasing number of SARS-CoV-2 infected people, despite the influence of the currently existing non-medical measures, is generating a rapidly increasing number of inpatients, some of whom need artificial ventilation. The average focus is on the extent to which the hospitals' capacities will be sufficient to adequately treat all patients. Regardless of this, it can be expected that even if the non-medical measures are successful, the number of inpatients treated will remain high in the course of the pandemic. With regard to the distribution of infection, it can be expected that clinics with a wide range of expertise will have to treat a large number of Covid-19 patients. So far, however, there is little to no experience in treating patients. In addition to epidemiological data, only case descriptions and some Chinese studies mostly from Wuhan based on fewer patients are available. In view of the rapidly spreading pandemic, preprints are increasingly being used. What has been missing so far is a uniform, structured recording of the courses of Covid-19 inpatients handled by many clinics, which goes beyond the epidemiological events in terms of depth of detail. With this documentation of real processes, the basis for a large number of studies and the associated better understanding of the disease process could be created. The current dynamics make it imperative that the clinics, even those who have not received the most up-to-date scientific knowledge, cannot wait for the results of studies, but rather need concrete help in the treatment of patients. Efficient assistance within the framework of a close exchange between the treatment units is only possible with a multicentre, uniform documentation environment. The aim of the project is to better understand the Covid-19 inpatient course of the disease and to quickly identify the positive experiences in the treatment in order to update guidelines for the treatment and use of medication.
Study Type
OBSERVATIONAL
Enrollment
5,000
RoMed - Klinikum Bad Aibling
Bad Aibling, Germany
RECRUITINGDONAUISAR Klinikum Deggendorf
Deggendorf, Germany
NOT_YET_RECRUITINGDONAUISAR Klinikum Dingolfing
Dingolfing, Germany
Outcome comparison between different antiviral therapies
Different antivirals and their combinations will be tested and the outcome (cured/deceased) will be assessed
Time frame: through study completion, an average of 1 year
Outcome comparisons between ventilation types
Different ventilation types will be tested and the outcome (cured/deceased) will be assessed
Time frame: through study completion, an average of 1 year
Identification of risk factors
Clinical and laboratory risk factors will be recorded and the outcome (cured/deceased) will be assessed
Time frame: through study completion, an average of 1 year
Number of days in hospital vs. clinical classification
Correlation between number of days in hospital and worst clinical classification will be calculated
Time frame: through study completion, an average of 1 year
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RoMed - Klinikum Prien am Chiemsee
Prien am Chiemsee, Germany
RECRUITINGRoMed - Klinikum Rosenheim
Rosenheim, Germany
RECRUITINGUniversitätsklinikum Ulm
Ulm, Germany
RECRUITINGRoMed - Klinikum Wasserburg Am Inn
Wasserburg am Inn, Germany
RECRUITINGKlinikum Altmühlfranken
Weißenburg, Germany
RECRUITINGTimiş County Emergency Clinical Hospital
Timișoara, Romania
RECRUITING