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The German National Pandemic Cohort Network (NAPKON): rationale, study design and baseline characteristics
The German government initiated the Network University Medicine (NUM) in early 2020 to improve national research activities on the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) pandemic. To this end, 36 German Academic Medical Centers started to collaborate on 13 projects, with the la...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9336157/ https://www.ncbi.nlm.nih.gov/pubmed/35904671 http://dx.doi.org/10.1007/s10654-022-00896-z |
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author | Schons, Maximilian Pilgram, Lisa Reese, Jens-Peter Stecher, Melanie Anton, Gabriele Appel, Katharina S. Bahmer, Thomas Bartschke, Alexander Bellinghausen, Carla Bernemann, Inga Brechtel, Markus Brinkmann, Folke Brünn, Clara Dhillon, Christine Fiessler, Cornelia Geisler, Ramsia Hamelmann, Eckard Hansch, Stefan Hanses, Frank Hanß, Sabine Herold, Susanne Heyder, Ralf Hofmann, Anna-Lena Hopff, Sina Marie Horn, Anna Jakob, Carolin Jiru-Hillmann, Steffi Keil, Thomas Khodamoradi, Yascha Kohls, Mirjam Kraus, Monika Krefting, Dagmar Kunze, Sonja Kurth, Florian Lieb, Wolfgang Lippert, Lena Johanna Lorbeer, Roberto Lorenz-Depiereux, Bettina Maetzler, Corina Miljukov, Olga Nauck, Matthias Pape, Daniel Püntmann, Valentina Reinke, Lennart Römmele, Christoph Rudolph, Stefanie Sass, Julian Schäfer, Christian Schaller, Jens Schattschneider, Mario Scheer, Christian Scherer, Margarete Schmidt, Sein Schmidt, Julia Seibel, Kristina Stahl, Dana Steinbeis, Fridolin Störk, Stefan Tauchert, Maike Tebbe, Johannes Josef Thibeault, Charlotte Toepfner, Nicole Ungethüm, Kathrin Vadasz, Istvan Valentin, Heike Wiedmann, Silke Zoller, Thomas Nagel, Eike Krawczak, Michael von Kalle, Christof Illig, Thomas Schreiber, Stefan Witzenrath, Martin Heuschmann, Peter Vehreschild, Jörg Janne |
author_facet | Schons, Maximilian Pilgram, Lisa Reese, Jens-Peter Stecher, Melanie Anton, Gabriele Appel, Katharina S. Bahmer, Thomas Bartschke, Alexander Bellinghausen, Carla Bernemann, Inga Brechtel, Markus Brinkmann, Folke Brünn, Clara Dhillon, Christine Fiessler, Cornelia Geisler, Ramsia Hamelmann, Eckard Hansch, Stefan Hanses, Frank Hanß, Sabine Herold, Susanne Heyder, Ralf Hofmann, Anna-Lena Hopff, Sina Marie Horn, Anna Jakob, Carolin Jiru-Hillmann, Steffi Keil, Thomas Khodamoradi, Yascha Kohls, Mirjam Kraus, Monika Krefting, Dagmar Kunze, Sonja Kurth, Florian Lieb, Wolfgang Lippert, Lena Johanna Lorbeer, Roberto Lorenz-Depiereux, Bettina Maetzler, Corina Miljukov, Olga Nauck, Matthias Pape, Daniel Püntmann, Valentina Reinke, Lennart Römmele, Christoph Rudolph, Stefanie Sass, Julian Schäfer, Christian Schaller, Jens Schattschneider, Mario Scheer, Christian Scherer, Margarete Schmidt, Sein Schmidt, Julia Seibel, Kristina Stahl, Dana Steinbeis, Fridolin Störk, Stefan Tauchert, Maike Tebbe, Johannes Josef Thibeault, Charlotte Toepfner, Nicole Ungethüm, Kathrin Vadasz, Istvan Valentin, Heike Wiedmann, Silke Zoller, Thomas Nagel, Eike Krawczak, Michael von Kalle, Christof Illig, Thomas Schreiber, Stefan Witzenrath, Martin Heuschmann, Peter Vehreschild, Jörg Janne |
author_sort | Schons, Maximilian |
collection | PubMed |
description | The German government initiated the Network University Medicine (NUM) in early 2020 to improve national research activities on the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) pandemic. To this end, 36 German Academic Medical Centers started to collaborate on 13 projects, with the largest being the National Pandemic Cohort Network (NAPKON). The NAPKON’s goal is creating the most comprehensive Coronavirus Disease 2019 (COVID-19) cohort in Germany. Within NAPKON, adult and pediatric patients are observed in three complementary cohort platforms (Cross-Sectoral, High-Resolution and Population-Based) from the initial infection until up to three years of follow-up. Study procedures comprise comprehensive clinical and imaging diagnostics, quality-of-life assessment, patient-reported outcomes and biosampling. The three cohort platforms build on four infrastructure core units (Interaction, Biosampling, Epidemiology, and Integration) and collaborations with NUM projects. Key components of the data capture, regulatory, and data privacy are based on the German Centre for Cardiovascular Research. By April 01, 2022, 34 university and 40 non-university hospitals have enrolled 5298 patients with local data quality reviews performed on 4727 (89%). 47% were female, the median age was 52 (IQR 36–62-) and 50 pediatric cases were included. 44% of patients were hospitalized, 15% admitted to an intensive care unit, and 12% of patients deceased while enrolled. 8845 visits with biosampling in 4349 patients were conducted by April 03, 2022. In this overview article, we summarize NAPKON’s design, relevant milestones including first study population characteristics, and outline the potential of NAPKON for German and international research activities. Trial registration https://clinicaltrials.gov/ct2/show/NCT04768998. https://clinicaltrials.gov/ct2/show/NCT04747366. https://clinicaltrials.gov/ct2/show/NCT04679584 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10654-022-00896-z. |
format | Online Article Text |
id | pubmed-9336157 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-93361572022-07-29 The German National Pandemic Cohort Network (NAPKON): rationale, study design and baseline characteristics Schons, Maximilian Pilgram, Lisa Reese, Jens-Peter Stecher, Melanie Anton, Gabriele Appel, Katharina S. Bahmer, Thomas Bartschke, Alexander Bellinghausen, Carla Bernemann, Inga Brechtel, Markus Brinkmann, Folke Brünn, Clara Dhillon, Christine Fiessler, Cornelia Geisler, Ramsia Hamelmann, Eckard Hansch, Stefan Hanses, Frank Hanß, Sabine Herold, Susanne Heyder, Ralf Hofmann, Anna-Lena Hopff, Sina Marie Horn, Anna Jakob, Carolin Jiru-Hillmann, Steffi Keil, Thomas Khodamoradi, Yascha Kohls, Mirjam Kraus, Monika Krefting, Dagmar Kunze, Sonja Kurth, Florian Lieb, Wolfgang Lippert, Lena Johanna Lorbeer, Roberto Lorenz-Depiereux, Bettina Maetzler, Corina Miljukov, Olga Nauck, Matthias Pape, Daniel Püntmann, Valentina Reinke, Lennart Römmele, Christoph Rudolph, Stefanie Sass, Julian Schäfer, Christian Schaller, Jens Schattschneider, Mario Scheer, Christian Scherer, Margarete Schmidt, Sein Schmidt, Julia Seibel, Kristina Stahl, Dana Steinbeis, Fridolin Störk, Stefan Tauchert, Maike Tebbe, Johannes Josef Thibeault, Charlotte Toepfner, Nicole Ungethüm, Kathrin Vadasz, Istvan Valentin, Heike Wiedmann, Silke Zoller, Thomas Nagel, Eike Krawczak, Michael von Kalle, Christof Illig, Thomas Schreiber, Stefan Witzenrath, Martin Heuschmann, Peter Vehreschild, Jörg Janne Eur J Epidemiol Cohort Profile The German government initiated the Network University Medicine (NUM) in early 2020 to improve national research activities on the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) pandemic. To this end, 36 German Academic Medical Centers started to collaborate on 13 projects, with the largest being the National Pandemic Cohort Network (NAPKON). The NAPKON’s goal is creating the most comprehensive Coronavirus Disease 2019 (COVID-19) cohort in Germany. Within NAPKON, adult and pediatric patients are observed in three complementary cohort platforms (Cross-Sectoral, High-Resolution and Population-Based) from the initial infection until up to three years of follow-up. Study procedures comprise comprehensive clinical and imaging diagnostics, quality-of-life assessment, patient-reported outcomes and biosampling. The three cohort platforms build on four infrastructure core units (Interaction, Biosampling, Epidemiology, and Integration) and collaborations with NUM projects. Key components of the data capture, regulatory, and data privacy are based on the German Centre for Cardiovascular Research. By April 01, 2022, 34 university and 40 non-university hospitals have enrolled 5298 patients with local data quality reviews performed on 4727 (89%). 47% were female, the median age was 52 (IQR 36–62-) and 50 pediatric cases were included. 44% of patients were hospitalized, 15% admitted to an intensive care unit, and 12% of patients deceased while enrolled. 8845 visits with biosampling in 4349 patients were conducted by April 03, 2022. In this overview article, we summarize NAPKON’s design, relevant milestones including first study population characteristics, and outline the potential of NAPKON for German and international research activities. Trial registration https://clinicaltrials.gov/ct2/show/NCT04768998. https://clinicaltrials.gov/ct2/show/NCT04747366. https://clinicaltrials.gov/ct2/show/NCT04679584 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10654-022-00896-z. Springer Netherlands 2022-07-29 2022 /pmc/articles/PMC9336157/ /pubmed/35904671 http://dx.doi.org/10.1007/s10654-022-00896-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Cohort Profile Schons, Maximilian Pilgram, Lisa Reese, Jens-Peter Stecher, Melanie Anton, Gabriele Appel, Katharina S. Bahmer, Thomas Bartschke, Alexander Bellinghausen, Carla Bernemann, Inga Brechtel, Markus Brinkmann, Folke Brünn, Clara Dhillon, Christine Fiessler, Cornelia Geisler, Ramsia Hamelmann, Eckard Hansch, Stefan Hanses, Frank Hanß, Sabine Herold, Susanne Heyder, Ralf Hofmann, Anna-Lena Hopff, Sina Marie Horn, Anna Jakob, Carolin Jiru-Hillmann, Steffi Keil, Thomas Khodamoradi, Yascha Kohls, Mirjam Kraus, Monika Krefting, Dagmar Kunze, Sonja Kurth, Florian Lieb, Wolfgang Lippert, Lena Johanna Lorbeer, Roberto Lorenz-Depiereux, Bettina Maetzler, Corina Miljukov, Olga Nauck, Matthias Pape, Daniel Püntmann, Valentina Reinke, Lennart Römmele, Christoph Rudolph, Stefanie Sass, Julian Schäfer, Christian Schaller, Jens Schattschneider, Mario Scheer, Christian Scherer, Margarete Schmidt, Sein Schmidt, Julia Seibel, Kristina Stahl, Dana Steinbeis, Fridolin Störk, Stefan Tauchert, Maike Tebbe, Johannes Josef Thibeault, Charlotte Toepfner, Nicole Ungethüm, Kathrin Vadasz, Istvan Valentin, Heike Wiedmann, Silke Zoller, Thomas Nagel, Eike Krawczak, Michael von Kalle, Christof Illig, Thomas Schreiber, Stefan Witzenrath, Martin Heuschmann, Peter Vehreschild, Jörg Janne The German National Pandemic Cohort Network (NAPKON): rationale, study design and baseline characteristics |
title | The German National Pandemic Cohort Network (NAPKON): rationale, study design and baseline characteristics |
title_full | The German National Pandemic Cohort Network (NAPKON): rationale, study design and baseline characteristics |
title_fullStr | The German National Pandemic Cohort Network (NAPKON): rationale, study design and baseline characteristics |
title_full_unstemmed | The German National Pandemic Cohort Network (NAPKON): rationale, study design and baseline characteristics |
title_short | The German National Pandemic Cohort Network (NAPKON): rationale, study design and baseline characteristics |
title_sort | german national pandemic cohort network (napkon): rationale, study design and baseline characteristics |
topic | Cohort Profile |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9336157/ https://www.ncbi.nlm.nih.gov/pubmed/35904671 http://dx.doi.org/10.1007/s10654-022-00896-z |
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