Official Title
CovidDB: The Covid-19 Inpatient Database
Brief Summary

The aim of the project is to better understand the Covid-19 inpatient course of thedisease and to quickly identify the positive experiences in the treatment in order toupdate guidelines for the treatment and use of medication.

Detailed Description

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.

Unknown status
COVID-19
Eligibility Criteria

Inclusion Criteria:

- Covid-19 inpatients

Exclusion Criteria:

- assumed Covid-19 patient

Eligibility Gender
All
Eligibility Age
Minimum: N/A ~ Maximum: N/A
Countries
Germany
Romania
Locations

RoMed - Klinikum Bad Aibling
Bad Aibling, Germany

DONAUISAR Klinikum Deggendorf
Deggendorf, Germany

DONAUISAR Klinikum Dingolfing
Dingolfing, Germany

RoMed - Klinikum Prien am Chiemsee
Prien, Germany

RoMed - Klinikum Rosenheim
Rosenheim, Germany

Universitätsklinikum Ulm
Ulm, Germany

RoMed - Klinikum Wasserburg Am Inn
Wasserburg Am Inn, Germany

Klinikum Altmühlfranken
Weißenburg, Germany

Timiş County Emergency Clinical Hospital
Timisoara, Romania

Contacts

Julia Ferencz, MD
+4917687607223
j.ferencz@clardata.com

Sebastian Dieng
+4915140212025
s.dieng@clardata.com

NCT Number
Keywords
SARS-CoV-2
Covid-19
antiviral therapy
ventilation
ECMO
MeSH Terms
COVID-19