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The German National Pandemic Cohort Network (NAPKON): rationale, study design and baseline characteristics

Authors :
Maximilian, Schons
Lisa, Pilgram
Jens-Peter, Reese
Melanie, Stecher
Gabriele, Anton
Katharina S, Appel
Thomas, Bahmer
Alexander, Bartschke
Carla, Bellinghausen
Inga, Bernemann
Markus, Brechtel
Folke, Brinkmann
Clara, Brünn
Christine, Dhillon
Cornelia, Fiessler
Ramsia, Geisler
Eckard, Hamelmann
Stefan, Hansch
Frank, Hanses
Sabine, Hanß
Susanne, Herold
Ralf, Heyder
Anna-Lena, Hofmann
Sina Marie, Hopff
Anna, Horn
Carolin, Jakob
Steffi, Jiru-Hillmann
Thomas, Keil
Yascha, Khodamoradi
Mirjam, Kohls
Monika, Kraus
Dagmar, Krefting
Sonja, Kunze
Florian, Kurth
Wolfgang, Lieb
Lena Johanna, Lippert
Roberto, Lorbeer
Bettina, Lorenz-Depiereux
Corina, Maetzler
Olga, Miljukov
Matthias, Nauck
Daniel, Pape
Valentina, Püntmann
Lennart, Reinke
Christoph, Römmele
Stefanie, Rudolph
Julian, Sass
Christian, Schäfer
Jens, Schaller
Mario, Schattschneider
Christian, Scheer
Margarete, Scherer
Sein, Schmidt
Julia, Schmidt
Kristina, Seibel
Dana, Stahl
Fridolin, Steinbeis
Stefan, Störk
Maike, Tauchert
Johannes Josef, Tebbe
Charlotte, Thibeault
Nicole, Toepfner
Kathrin, Ungethüm
Istvan, Vadasz
Heike, Valentin
Silke, Wiedmann
Thomas, Zoller
Eike, Nagel
Michael, Krawczak
Christof, von Kalle
Thomas, Illig
Stefan, Schreiber
Martin, Witzenrath
Peter, Heuschmann
Jörg Janne, Vehreschild
Source :
European journal of epidemiology. 37(8)
Publication Year :
2022

Abstract

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 registrationhttps://clinicaltrials.gov/ct2/show/NCT04768998.https://clinicaltrials.gov/ct2/show/NCT04747366.https://clinicaltrials.gov/ct2/show/NCT04679584

Details

ISSN :
15737284
Volume :
37
Issue :
8
Database :
OpenAIRE
Journal :
European journal of epidemiology
Accession number :
edsair.doi.dedup.....58a671f318c86204ca5f4abfe8b9b56f