TY - JOUR
T1 - The German National Pandemic Cohort Network (NAPKON)
T2 - rationale, study design and baseline characteristics
AU - Schons, Maximilian
AU - Pilgram, Lisa
AU - Reese, Jens Peter
AU - Stecher, Melanie
AU - Anton, Gabriele
AU - Appel, Katharina S.
AU - Bahmer, Thomas
AU - Bartschke, Alexander
AU - Bellinghausen, Carla
AU - Bernemann, Inga
AU - Brechtel, Markus
AU - Brinkmann, Folke
AU - Brünn, Clara
AU - Dhillon, Christine
AU - Fiessler, Cornelia
AU - Geisler, Ramsia
AU - Hamelmann, Eckard
AU - Hansch, Stefan
AU - Hanses, Frank
AU - Hanß, Sabine
AU - Herold, Susanne
AU - Heyder, Ralf
AU - Hofmann, Anna Lena
AU - Hopff, Sina Marie
AU - Horn, Anna
AU - Jakob, Carolin
AU - Jiru-Hillmann, Steffi
AU - Keil, Thomas
AU - Khodamoradi, Yascha
AU - Kohls, Mirjam
AU - Kraus, Monika
AU - Krefting, Dagmar
AU - Kunze, Sonja
AU - Kurth, Florian
AU - Lieb, Wolfgang
AU - Lippert, Lena Johanna
AU - Lorbeer, Roberto
AU - Lorenz-Depiereux, Bettina
AU - Maetzler, Corina
AU - Miljukov, Olga
AU - Nauck, Matthias
AU - Pape, Daniel
AU - Püntmann, Valentina
AU - Reinke, Lennart
AU - Römmele, Christoph
AU - Rudolph, Stefanie
AU - Sass, Julian
AU - Schäfer, Christian
AU - Schaller, Jens
AU - von Kalle, Christof
AU - NAPKON Research Group
N1 - Publisher Copyright:
© 2022, The Author(s).
PY - 2022/8
Y1 - 2022/8
N2 - 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
AB - 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
KW - COVID-19
KW - Cross-sectoral
KW - Epidemiology
KW - Longitudinal study
KW - Population-based
KW - Prospective national cohort
KW - SARS-CoV-2
UR - http://www.scopus.com/inward/record.url?scp=85137952353&partnerID=8YFLogxK
U2 - 10.1007/s10654-022-00896-z
DO - 10.1007/s10654-022-00896-z
M3 - Article
C2 - 35904671
AN - SCOPUS:85137952353
SN - 0393-2990
VL - 37
SP - 849
EP - 870
JO - European Journal of Epidemiology
JF - European Journal of Epidemiology
IS - 8
ER -