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

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

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Studying the pathophysiology of coronavirus disease 2019 - a protocol for the Berlin prospective COVID-19 patient cohort (Pa- COVID-19)
Creator	Drosten, Christian Weber-Carstens, Steffen Hippenstiel, Stefan Hocke, Andreas Suttorp, Norbert Witzenrath, Martin Corman, Victor Sander, Erik Spies, Claudia Sander, Leif Angermair, Stefan Müller-Redetzky, Holger Mockenhaupt, Frank Dang-Heine, Chantip Eckardt, Kai-Uwe Endres, Matthias Hummel, Michael Hübner, Ralf Knauss, Samuel Krannich, Alexander Kretzler, Lucie Kurth, Florian Landmesser, Ulf Mall, Marcus Mittermaier, Mirja Pieske, Burkert Roennefarth, Maria Rose, Matthias Ruwwe-Glösenkamp, Christoph Röhmel, Jobst Schmidt, Sein Siegmund, Britta Spranger, Joachim Tacke, Frank Thibeault, Charlotte Treskatsch, Sascha Uhrig, Alexander Zoller, Thomas Christof Von Kalle, Kurth, Leif, Von, Christof
Source	MedRxiv
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, in order 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 Charite - Universitaetsmedizin Berlin. We collect data on epidemiology, demography, medical history, symptoms, clinical course, 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.
has issue date	2020-05-11(xsd:dateTime)
bibo:doi	10.1101/2020.05.06.20092833
has license	medrxiv
sha1sum (hex)	4fccb9770b46745af1ca22deecae5e6cdcc7879f
schema:url	https://doi.org/10.1101/2020.05.06.20092833
resource representing a document's title	Studying the pathophysiology of coronavirus disease 2019 - a protocol for the Berlin prospective COVID-19 patient cohort (Pa- COVID-19)
resource representing a document's body	covid:4fccb9770b46745af1ca22deecae5e6cdcc7879f#body_text
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