CovidDB: The Covid-19 Inpatient Database

COVID-19 Clinical Trial

Official title:

CovidDB: The Covid-19 Inpatient Database

Clinical Trial Details — Status: Recruiting

Administrative data

• NCT number: NCT04344171
• Other study ID #: CovidDB
• Status: Recruiting
• Start date: March 30, 2020
• Est. completion date: June 30, 2023

Study information

• Verified date: April 2020
• Source: ClarData
• Contact: Julia Ferencz, MD
• Phone: +4917687607223
• Email: j.ferencz[@]clardata.com
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

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.

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.

Recruitment information / eligibility

• Status: Recruiting
• Enrollment: 5000
• Est. completion date: June 30, 2023
• Est. primary completion date: December 31, 2022
• Accepts healthy volunteers: No
• Gender: All
• Age group: N/A and older

Eligibility

Inclusion Criteria:

• Covid-19 inpatients

Exclusion Criteria:

• assumed Covid-19 patient

Related Conditions & MeSH terms

• COVID-19

Locations

Country	Name	City	State
Germany	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
Romania	Timis County Emergency Clinical Hospital	Timisoara

Sponsors (1)

Lead Sponsor	Collaborator
ClarData

Countries where clinical trial is conducted

Germany,  Romania, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Outcome comparison between different antiviral therapies	Different antivirals and their combinations will be tested and the outcome (cured/deceased) will be assessed	through study completion, an average of 1 year
Primary	Outcome comparisons between ventilation types	Different ventilation types will be tested and the outcome (cured/deceased) will be assessed	through study completion, an average of 1 year
Primary	Identification of risk factors	Clinical and laboratory risk factors will be recorded and the outcome (cured/deceased) will be assessed	through study completion, an average of 1 year
Primary	Number of days in hospital vs. clinical classification	Correlation between number of days in hospital and worst clinical classification will be calculated	through study completion, an average of 1 year

External Links

•   This is the website of the study and database