CovidDB: The Covid-19 Inpatient Database

NCT ID: NCT04344171

Last Updated: 2020-04-21

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

5000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2020-03-30

Study Completion Date

2023-06-30

Brief Summary

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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.

Detailed Description

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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.

Conditions

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COVID-19

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

* Covid-19 inpatients

Exclusion Criteria

* assumed Covid-19 patient
Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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ClarData

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Julia Ferencz, MD

Role: PRINCIPAL_INVESTIGATOR

ClarData

Hans-Rudolf Tinneberg, Prof.

Role: PRINCIPAL_INVESTIGATOR

University of Giessen

Locations

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RoMed - Klinikum Bad Aibling

Bad Aibling, , Germany

Site Status RECRUITING

DONAUISAR Klinikum Deggendorf

Deggendorf, , Germany

Site Status NOT_YET_RECRUITING

DONAUISAR Klinikum Dingolfing

Dingolfing, , Germany

Site Status NOT_YET_RECRUITING

RoMed - Klinikum Prien am Chiemsee

Prien am Chiemsee, , Germany

Site Status RECRUITING

RoMed - Klinikum Rosenheim

Rosenheim, , Germany

Site Status RECRUITING

Universitätsklinikum Ulm

Ulm, , Germany

Site Status RECRUITING

RoMed - Klinikum Wasserburg Am Inn

Wasserburg am Inn, , Germany

Site Status RECRUITING

Klinikum Altmühlfranken

Weißenburg, , Germany

Site Status RECRUITING

Timiş County Emergency Clinical Hospital

Timișoara, , Romania

Site Status RECRUITING

Countries

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Germany Romania

Central Contacts

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Julia Ferencz, MD

Role: CONTACT

+4917687607223

Sebastian Dieng

Role: CONTACT

+4915140212025

Facility Contacts

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Stefan Budweiser, Prof.

Role: primary

Adi Kovacevic, Dr.

Role: primary

Heribert Fröschl, Dr.

Role: primary

Stefan Budweiser, Prof.

Role: primary

Stefan Budweiser, Prof.

Role: primary

Thomas Seufferlein, Prof

Role: primary

Stefan Budweiser, Prof.

Role: primary

Marius Ghidau, Dr.

Role: primary

Ovidiu Bedreag, Prof.

Role: primary

References

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Budweiser S, Bas S, Jorres RA, Engelhardt S, von Delius S, Lenherr K, Deerberg-Wittram J, Bauer A. Patients' treatment limitations as predictive factor for mortality in COVID-19: results from hospitalized patients of a hotspot region for SARS-CoV-2 infections. Respir Res. 2021 Jun 4;22(1):168. doi: 10.1186/s12931-021-01756-2.

Reference Type DERIVED
PMID: 34098967 (View on PubMed)

Related Links

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https://www.covid-db.com

This is the website of the study and database

Other Identifiers

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CovidDB

Identifier Type: -

Identifier Source: org_study_id

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