Studying the pathophysiology of coronavirus disease 2019: a protocol for the Berlin prospective COVID-19 patient cohort (Pa-COVID-19)
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Published:2020-06-13
Issue:4
Volume:48
Page:619-626
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ISSN:0300-8126
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Container-title:Infection
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language:en
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Short-container-title:Infection
Author:
Kurth FlorianORCID, Roennefarth Maria, Thibeault Charlotte, Corman Victor M., Müller-Redetzky Holger, Mittermaier Mirja, Ruwwe-Glösenkamp Christoph, Heim Katrin M., Krannich Alexander, Zvorc Saskia, Schmidt Sein, Kretzler Lucie, Dang-Heine Chantip, Rose Matthias, Hummel Michael, Hocke Andreas, Hübner Ralf H., Opitz Bastian, Mall Marcus A., Röhmel Jobst, Landmesser Ulf, Pieske Burkert, Knauss Samuel, Endres Matthias, Spranger Joachim, Mockenhaupt Frank P., Tacke Frank, Treskatsch Sascha, Angermair Stefan, Siegmund Britta, Spies Claudia, Weber-Carstens Steffen, Eckardt Kai-Uwe, Schürmann Dirk, Uhrig Alexander, Stegemann Miriam S., Zoller Thomas, Drosten Christian, Suttorp Norbert, Witzenrath Martin, Hippenstiel Stefan, von Kalle Christof, Sander Leif Erik
Abstract
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)
Publisher
Springer Science and Business Media LLC
Subject
Infectious Diseases,Microbiology (medical),General Medicine
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