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Studying the pathophysiology of coronavirus disease 2019: a protocol for the Berlin prospective COVID-19 patient cohort (Pa-COVID-19)

Authors :
Chantip Dang-Heine
Katrin Moira Heim
Charlotte Thibeault
Stefan Angermair
Britta Siegmund
Mirja Mittermaier
Jobst Röhmel
Michael Hummel
Steffen Weber-Carstens
Samuel Knauss
Alexander Uhrig
Victor M. Corman
Norbert Suttorp
Burkert Pieske
Christoph Ruwwe-Glösenkamp
Stefan Hippenstiel
Frank Tacke
Florian Kurth
Frank P. Mockenhaupt
Sein Schmidt
Christof von Kalle
Alexander Krannich
Leif E. Sander
Miriam Stegemann
Matthias Endres
Ulf Landmesser
Ralf H. Hübner
Thomas Zoller
Marcus A. Mall
Dirk Schürmann
Joachim Spranger
Claudia Spies
Holger Müller-Redetzky
Kai-Uwe Eckardt
Matthias Rose
Christian Drosten
Saskia Zvorc
Maria Roennefarth
Sascha Treskatsch
Martin Witzenrath
Andreas C. Hocke
Lucie Kretzler
Bastian Opitz
Source :
Infection
Publication Year :
2020
Publisher :
Springer Science and Business Media LLC, 2020.

Abstract

Purpose Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has spread worldwide causing a global health emergency. Pa-COVID-19 aims to provide comprehensive data on clinical course, pathophysiology, immunology and outcome of COVID-19, to identify prognostic biomarkers, clinical scores, and therapeutic targets for improved clinical management and preventive interventions. Methods Pa-COVID-19 is a prospective observational cohort study of patients with confirmed SARS-CoV-2 infection treated at Charité - Universitätsmedizin Berlin. We collect data on epidemiology, demography, medical history, symptoms, clinical course, and pathogen testing and treatment. Systematic, serial blood sampling will allow deep molecular and immunological phenotyping, transcriptomic profiling, and comprehensive biobanking. Longitudinal data and sample collection during hospitalization will be supplemented by long-term follow-up. Results Outcome measures include the WHO clinical ordinal scale on day 15 and clinical, functional, and health-related quality-of-life assessments at discharge and during follow-up. We developed a scalable dataset to (i) suit national standards of care, (ii) facilitate comprehensive data collection in medical care facilities with varying resources, and (iii) allow for rapid implementation of interventional trials based on the standardized study design and data collection. We propose this scalable protocol as blueprint for harmonized data collection and deep phenotyping in COVID-19 in Germany. Conclusion We established a basic platform for harmonized, scalable data collection, pathophysiological analysis, and deep phenotyping of COVID-19, which enables rapid generation of evidence for improved medical care and identification of candidate therapeutic and preventive strategies. The electronic database accredited for interventional trials allows fast trial implementation for candidate therapeutic agents. Trial registration Registered at the German registry for clinical studies (DRKS00021688)

Details

Language :
English
ISSN :
14390973 and 03008126
Database :
OpenAIRE
Journal :
Infection
Accession number :
edsair.doi.dedup.....6943ca7b87dd7f359021f4301658248e
Full Text :
https://doi.org/10.1007/s15010-020-01464-x