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, and...
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| Veröffentlicht in: | Infection 2020-08, Vol.48 (4), p.619-626 |
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| container_title | Infection |
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| creator | 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 |
| 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) |
| doi_str_mv | 10.1007/s15010-020-01464-x |
| format | Article |
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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)</description><identifier>ISSN: 0300-8126</identifier><identifier>EISSN: 1439-0973</identifier><identifier>DOI: 10.1007/s15010-020-01464-x</identifier><identifier>PMID: 32535877</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Berlin - epidemiology ; Betacoronavirus ; Biological Specimen Banks ; Biomarkers ; Chemical compounds ; Clinical trials ; Coronaviridae ; Coronavirus Infections - epidemiology ; Coronavirus Infections - physiopathology ; Coronaviruses ; COVID-19 ; Data collection ; Demography ; Depth profiling ; Design standards ; Disease Management ; Epidemiology ; Family Medicine ; General Practice ; Global health ; Health care ; Health services ; Humans ; Immunology ; Infectious Diseases ; Internal Medicine ; Medicine ; Medicine & Public Health ; Observational studies ; Observational Studies as Topic ; Original Paper ; Pandemics ; Pathophysiology ; Patients ; Pharmacology ; Phenotype ; Phenotyping ; Pneumonia, Viral - epidemiology ; Pneumonia, Viral - physiopathology ; Prospective Studies ; Quality assessment ; Registries ; Risk Assessment ; Risk Factors ; SARS-CoV-2 ; Severe acute respiratory syndrome coronavirus 2 ; Signs and symptoms ; Therapeutic applications ; Time Factors ; Treatment Outcome ; Viral diseases ; World Health Organization</subject><ispartof>Infection, 2020-08, Vol.48 (4), p.619-626</ispartof><rights>The Author(s) 2020</rights><rights>The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c502t-c4a30d9d67e0b068d0f02717fac6dfd24c0179d5ee20efabb5a1d52c38f217eb3</citedby><cites>FETCH-LOGICAL-c502t-c4a30d9d67e0b068d0f02717fac6dfd24c0179d5ee20efabb5a1d52c38f217eb3</cites><orcidid>0000-0002-3807-473X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s15010-020-01464-x$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s15010-020-01464-x$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,777,781,882,27905,27906,41469,42538,51300</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32535877$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kurth, Florian</creatorcontrib><creatorcontrib>Roennefarth, Maria</creatorcontrib><creatorcontrib>Thibeault, Charlotte</creatorcontrib><creatorcontrib>Corman, Victor M.</creatorcontrib><creatorcontrib>Müller-Redetzky, Holger</creatorcontrib><creatorcontrib>Mittermaier, Mirja</creatorcontrib><creatorcontrib>Ruwwe-Glösenkamp, Christoph</creatorcontrib><creatorcontrib>Heim, Katrin M.</creatorcontrib><creatorcontrib>Krannich, Alexander</creatorcontrib><creatorcontrib>Zvorc, Saskia</creatorcontrib><creatorcontrib>Schmidt, Sein</creatorcontrib><creatorcontrib>Kretzler, Lucie</creatorcontrib><creatorcontrib>Dang-Heine, Chantip</creatorcontrib><creatorcontrib>Rose, Matthias</creatorcontrib><creatorcontrib>Hummel, Michael</creatorcontrib><creatorcontrib>Hocke, Andreas</creatorcontrib><creatorcontrib>Hübner, Ralf H.</creatorcontrib><creatorcontrib>Opitz, Bastian</creatorcontrib><creatorcontrib>Mall, Marcus A.</creatorcontrib><creatorcontrib>Röhmel, Jobst</creatorcontrib><creatorcontrib>Landmesser, Ulf</creatorcontrib><creatorcontrib>Pieske, Burkert</creatorcontrib><creatorcontrib>Knauss, Samuel</creatorcontrib><creatorcontrib>Endres, Matthias</creatorcontrib><creatorcontrib>Spranger, Joachim</creatorcontrib><creatorcontrib>Mockenhaupt, Frank P.</creatorcontrib><creatorcontrib>Tacke, Frank</creatorcontrib><creatorcontrib>Treskatsch, Sascha</creatorcontrib><creatorcontrib>Angermair, Stefan</creatorcontrib><creatorcontrib>Siegmund, Britta</creatorcontrib><creatorcontrib>Spies, Claudia</creatorcontrib><creatorcontrib>Weber-Carstens, Steffen</creatorcontrib><creatorcontrib>Eckardt, Kai-Uwe</creatorcontrib><creatorcontrib>Schürmann, Dirk</creatorcontrib><creatorcontrib>Uhrig, Alexander</creatorcontrib><creatorcontrib>Stegemann, Miriam S.</creatorcontrib><creatorcontrib>Zoller, Thomas</creatorcontrib><creatorcontrib>Drosten, Christian</creatorcontrib><creatorcontrib>Suttorp, Norbert</creatorcontrib><creatorcontrib>Witzenrath, Martin</creatorcontrib><creatorcontrib>Hippenstiel, Stefan</creatorcontrib><creatorcontrib>von Kalle, Christof</creatorcontrib><creatorcontrib>Sander, Leif Erik</creatorcontrib><title>Studying the pathophysiology of coronavirus disease 2019: a protocol for the Berlin prospective COVID-19 patient cohort (Pa-COVID-19)</title><title>Infection</title><addtitle>Infection</addtitle><addtitle>Infection</addtitle><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)</description><subject>Berlin - epidemiology</subject><subject>Betacoronavirus</subject><subject>Biological Specimen Banks</subject><subject>Biomarkers</subject><subject>Chemical compounds</subject><subject>Clinical trials</subject><subject>Coronaviridae</subject><subject>Coronavirus Infections - epidemiology</subject><subject>Coronavirus Infections - physiopathology</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Data collection</subject><subject>Demography</subject><subject>Depth profiling</subject><subject>Design standards</subject><subject>Disease Management</subject><subject>Epidemiology</subject><subject>Family Medicine</subject><subject>General Practice</subject><subject>Global health</subject><subject>Health care</subject><subject>Health services</subject><subject>Humans</subject><subject>Immunology</subject><subject>Infectious Diseases</subject><subject>Internal Medicine</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Observational studies</subject><subject>Observational Studies as Topic</subject><subject>Original Paper</subject><subject>Pandemics</subject><subject>Pathophysiology</subject><subject>Patients</subject><subject>Pharmacology</subject><subject>Phenotype</subject><subject>Phenotyping</subject><subject>Pneumonia, Viral - epidemiology</subject><subject>Pneumonia, Viral - physiopathology</subject><subject>Prospective Studies</subject><subject>Quality assessment</subject><subject>Registries</subject><subject>Risk Assessment</subject><subject>Risk Factors</subject><subject>SARS-CoV-2</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Signs and symptoms</subject><subject>Therapeutic applications</subject><subject>Time Factors</subject><subject>Treatment Outcome</subject><subject>Viral diseases</subject><subject>World Health 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coronavirus disease 2019: a protocol for the Berlin prospective COVID-19 patient cohort (Pa-COVID-19)</title><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 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Organization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kurth, Florian</creatorcontrib><creatorcontrib>Roennefarth, Maria</creatorcontrib><creatorcontrib>Thibeault, Charlotte</creatorcontrib><creatorcontrib>Corman, Victor M.</creatorcontrib><creatorcontrib>Müller-Redetzky, Holger</creatorcontrib><creatorcontrib>Mittermaier, Mirja</creatorcontrib><creatorcontrib>Ruwwe-Glösenkamp, Christoph</creatorcontrib><creatorcontrib>Heim, Katrin M.</creatorcontrib><creatorcontrib>Krannich, Alexander</creatorcontrib><creatorcontrib>Zvorc, Saskia</creatorcontrib><creatorcontrib>Schmidt, Sein</creatorcontrib><creatorcontrib>Kretzler, Lucie</creatorcontrib><creatorcontrib>Dang-Heine, Chantip</creatorcontrib><creatorcontrib>Rose, Matthias</creatorcontrib><creatorcontrib>Hummel, Michael</creatorcontrib><creatorcontrib>Hocke, Andreas</creatorcontrib><creatorcontrib>Hübner, Ralf H.</creatorcontrib><creatorcontrib>Opitz, 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Christian</creatorcontrib><creatorcontrib>Suttorp, Norbert</creatorcontrib><creatorcontrib>Witzenrath, Martin</creatorcontrib><creatorcontrib>Hippenstiel, Stefan</creatorcontrib><creatorcontrib>von Kalle, Christof</creatorcontrib><creatorcontrib>Sander, Leif Erik</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Nursing & Allied Health Database</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Infection</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kurth, Florian</au><au>Roennefarth, Maria</au><au>Thibeault, Charlotte</au><au>Corman, Victor M.</au><au>Müller-Redetzky, Holger</au><au>Mittermaier, Mirja</au><au>Ruwwe-Glösenkamp, Christoph</au><au>Heim, Katrin M.</au><au>Krannich, Alexander</au><au>Zvorc, Saskia</au><au>Schmidt, Sein</au><au>Kretzler, Lucie</au><au>Dang-Heine, Chantip</au><au>Rose, Matthias</au><au>Hummel, Michael</au><au>Hocke, Andreas</au><au>Hübner, Ralf H.</au><au>Opitz, Bastian</au><au>Mall, Marcus A.</au><au>Röhmel, Jobst</au><au>Landmesser, Ulf</au><au>Pieske, Burkert</au><au>Knauss, Samuel</au><au>Endres, Matthias</au><au>Spranger, Joachim</au><au>Mockenhaupt, Frank P.</au><au>Tacke, Frank</au><au>Treskatsch, Sascha</au><au>Angermair, Stefan</au><au>Siegmund, Britta</au><au>Spies, Claudia</au><au>Weber-Carstens, Steffen</au><au>Eckardt, Kai-Uwe</au><au>Schürmann, Dirk</au><au>Uhrig, Alexander</au><au>Stegemann, Miriam S.</au><au>Zoller, Thomas</au><au>Drosten, Christian</au><au>Suttorp, Norbert</au><au>Witzenrath, Martin</au><au>Hippenstiel, Stefan</au><au>von Kalle, Christof</au><au>Sander, Leif Erik</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Studying the pathophysiology of coronavirus disease 2019: a protocol for the Berlin prospective COVID-19 patient cohort (Pa-COVID-19)</atitle><jtitle>Infection</jtitle><stitle>Infection</stitle><addtitle>Infection</addtitle><date>2020-08-01</date><risdate>2020</risdate><volume>48</volume><issue>4</issue><spage>619</spage><epage>626</epage><pages>619-626</pages><issn>0300-8126</issn><eissn>1439-0973</eissn><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)</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>32535877</pmid><doi>10.1007/s15010-020-01464-x</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-3807-473X</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0300-8126 |
| ispartof | Infection, 2020-08, Vol.48 (4), p.619-626 |
| issn | 0300-8126 1439-0973 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7293426 |
| source | MEDLINE; SpringerLink Journals - AutoHoldings |
| subjects | Berlin - epidemiology Betacoronavirus Biological Specimen Banks Biomarkers Chemical compounds Clinical trials Coronaviridae Coronavirus Infections - epidemiology Coronavirus Infections - physiopathology Coronaviruses COVID-19 Data collection Demography Depth profiling Design standards Disease Management Epidemiology Family Medicine General Practice Global health Health care Health services Humans Immunology Infectious Diseases Internal Medicine Medicine Medicine & Public Health Observational studies Observational Studies as Topic Original Paper Pandemics Pathophysiology Patients Pharmacology Phenotype Phenotyping Pneumonia, Viral - epidemiology Pneumonia, Viral - physiopathology Prospective Studies Quality assessment Registries Risk Assessment Risk Factors SARS-CoV-2 Severe acute respiratory syndrome coronavirus 2 Signs and symptoms Therapeutic applications Time Factors Treatment Outcome Viral diseases World Health Organization |
| title | Studying the pathophysiology of coronavirus disease 2019: a protocol for the Berlin prospective COVID-19 patient cohort (Pa-COVID-19) |
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