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Studying the pathophysiology of coronavirus disease 2019: a protocol for the Berlin prospective COVID-19 patient cohort (Pa-COVID-19)
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, an...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7293426/ https://www.ncbi.nlm.nih.gov/pubmed/32535877 http://dx.doi.org/10.1007/s15010-020-01464-x |
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author | Kurth, Florian 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 |
author_facet | Kurth, Florian 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 |
author_sort | Kurth, Florian |
collection | PubMed |
description | 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) ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s15010-020-01464-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7293426 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-72934262020-06-14 Studying the pathophysiology of coronavirus disease 2019: a protocol for the Berlin prospective COVID-19 patient cohort (Pa-COVID-19) Kurth, Florian 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 Infection Original Paper 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) ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s15010-020-01464-x) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2020-06-13 2020 /pmc/articles/PMC7293426/ /pubmed/32535877 http://dx.doi.org/10.1007/s15010-020-01464-x Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Original Paper Kurth, Florian 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 Studying the pathophysiology of coronavirus disease 2019: a protocol for the Berlin prospective COVID-19 patient cohort (Pa-COVID-19) |
title | Studying the pathophysiology of coronavirus disease 2019: a protocol for the Berlin prospective COVID-19 patient cohort (Pa-COVID-19) |
title_full | Studying the pathophysiology of coronavirus disease 2019: a protocol for the Berlin prospective COVID-19 patient cohort (Pa-COVID-19) |
title_fullStr | Studying the pathophysiology of coronavirus disease 2019: a protocol for the Berlin prospective COVID-19 patient cohort (Pa-COVID-19) |
title_full_unstemmed | Studying the pathophysiology of coronavirus disease 2019: a protocol for the Berlin prospective COVID-19 patient cohort (Pa-COVID-19) |
title_short | Studying the pathophysiology of coronavirus disease 2019: a protocol for the Berlin prospective COVID-19 patient cohort (Pa-COVID-19) |
title_sort | studying the pathophysiology of coronavirus disease 2019: a protocol for the berlin prospective covid-19 patient cohort (pa-covid-19) |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7293426/ https://www.ncbi.nlm.nih.gov/pubmed/32535877 http://dx.doi.org/10.1007/s15010-020-01464-x |
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