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

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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; NAPKON Study Group.

In: EUR J EPIDEMIOL, Vol. 37, No. 8, 08.2022, p. 849-870.

Research output: SCORING: Contribution to journal › SCORING: Review article › Research

Harvard

Schons, M, Pilgram, L, Reese, J-P, Stecher, M, Anton, G, Appel, KS, Bahmer, T, Bartschke, A, Bellinghausen, C, Bernemann, I, Brechtel, M, Brinkmann, F, Brünn, C, Dhillon, C, Fiessler, C, Geisler, R, Hamelmann, E, Hansch, S, Hanses, F, Hanß, S, Herold, S, Heyder, R, Hofmann, A-L, Hopff, SM, Horn, A, Jakob, C, Jiru-Hillmann, S, Keil, T, Khodamoradi, Y, Kohls, M, Kraus, M, Krefting, D, Kunze, S, Kurth, F, Lieb, W, Lippert, LJ, Lorbeer, R, Lorenz-Depiereux, B, Maetzler, C, Miljukov, O, Nauck, M, Pape, D, Püntmann, V, Reinke, L, Römmele, C, Rudolph, S, Sass, J, Schäfer, C, Schaller, J, Schattschneider, M, Scheer, C, Scherer, M, Schmidt, S, Schmidt, J, Seibel, K, Stahl, D, Steinbeis, F, Störk, S, Tauchert, M, Tebbe, JJ, Thibeault, C, Toepfner, N, Ungethüm, K, Vadasz, I, Valentin, H, Wiedmann, S, Zoller, T, Nagel, E, Krawczak, M, von Kalle, C, Illig, T, Schreiber, S, Witzenrath, M, Heuschmann, P, Vehreschild, JJ & NAPKON Study Group 2022, 'The German National Pandemic Cohort Network (NAPKON): rationale, study design and baseline characteristics', EUR J EPIDEMIOL, vol. 37, no. 8, pp. 849-870. https://doi.org/10.1007/s10654-022-00896-z

APA

Schons, M., Pilgram, L., Reese, J-P., Stecher, M., Anton, G., Appel, K. S., Bahmer, T., Bartschke, A., Bellinghausen, C., Bernemann, I., Brechtel, M., Brinkmann, F., Brünn, C., Dhillon, C., Fiessler, C., Geisler, R., Hamelmann, E., Hansch, S., Hanses, F., ... NAPKON Study Group (2022). The German National Pandemic Cohort Network (NAPKON): rationale, study design and baseline characteristics. EUR J EPIDEMIOL, 37(8), 849-870. https://doi.org/10.1007/s10654-022-00896-z

Vancouver

Schons M, Pilgram L, Reese J-P, Stecher M, Anton G, Appel KS et al. The German National Pandemic Cohort Network (NAPKON): rationale, study design and baseline characteristics. EUR J EPIDEMIOL. 2022 Aug;37(8):849-870. https://doi.org/10.1007/s10654-022-00896-z

Bibtex

@article{dbc73053bbe84c0facfffd1957ba6c72,
title = "The German National Pandemic Cohort Network (NAPKON): rationale, study design and baseline characteristics",
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 registration https://clinicaltrials.gov/ct2/show/NCT04768998 . https://clinicaltrials.gov/ct2/show/NCT04747366 . https://clinicaltrials.gov/ct2/show/NCT04679584.",
keywords = "Adult, COVID-19/epidemiology, Child, Clinical Trials as Topic, Female, Humans, Intensive Care Units, Male, Middle Aged, Pandemics, Research Design, SARS-CoV-2",
author = "Maximilian Schons and Lisa Pilgram and Jens-Peter Reese and Melanie Stecher and Gabriele Anton and Appel, {Katharina S} and Thomas Bahmer and Alexander Bartschke and Carla Bellinghausen and Inga Bernemann and Markus Brechtel and Folke Brinkmann and Clara Br{\"u}nn and Christine Dhillon and Cornelia Fiessler and Ramsia Geisler and Eckard Hamelmann and Stefan Hansch and Frank Hanses and Sabine Han{\ss} and Susanne Herold and Ralf Heyder and Anna-Lena Hofmann and Hopff, {Sina Marie} and Anna Horn and Carolin Jakob and Steffi Jiru-Hillmann and Thomas Keil and Yascha Khodamoradi and Mirjam Kohls and Monika Kraus and Dagmar Krefting and Sonja Kunze and Florian Kurth and Wolfgang Lieb and Lippert, {Lena Johanna} and Roberto Lorbeer and Bettina Lorenz-Depiereux and Corina Maetzler and Olga Miljukov and Matthias Nauck and Daniel Pape and Valentina P{\"u}ntmann and Lennart Reinke and Christoph R{\"o}mmele and Stefanie Rudolph and Julian Sass and Christian Sch{\"a}fer and Jens Schaller and Mario Schattschneider and Christian Scheer and Margarete Scherer and Sein Schmidt and Julia Schmidt and Kristina Seibel and Dana Stahl and Fridolin Steinbeis and Stefan St{\"o}rk and Maike Tauchert and Tebbe, {Johannes Josef} and Charlotte Thibeault and Nicole Toepfner and Kathrin Ungeth{\"u}m and Istvan Vadasz and Heike Valentin and Silke Wiedmann and Thomas Zoller and Eike Nagel and Michael Krawczak and {von Kalle}, Christof and Thomas Illig and Stefan Schreiber and Martin Witzenrath and Peter Heuschmann and Vehreschild, {J{\"o}rg Janne} and {NAPKON Study Group} and Addo, {Marylyn Martina}",
note = "{\textcopyright} 2022. The Author(s).",
year = "2022",
month = aug,
doi = "10.1007/s10654-022-00896-z",
language = "English",
volume = "37",
pages = "849--870",
journal = "EUR J EPIDEMIOL",
issn = "0393-2990",
publisher = "Springer",
number = "8",

}

RIS

TY - JOUR

T1 - The German National Pandemic Cohort Network (NAPKON): 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 - Schattschneider, Mario

AU - Scheer, Christian

AU - Scherer, Margarete

AU - Schmidt, Sein

AU - Schmidt, Julia

AU - Seibel, Kristina

AU - Stahl, Dana

AU - Steinbeis, Fridolin

AU - Störk, Stefan

AU - Tauchert, Maike

AU - Tebbe, Johannes Josef

AU - Thibeault, Charlotte

AU - Toepfner, Nicole

AU - Ungethüm, Kathrin

AU - Vadasz, Istvan

AU - Valentin, Heike

AU - Wiedmann, Silke

AU - Zoller, Thomas

AU - Nagel, Eike

AU - Krawczak, Michael

AU - von Kalle, Christof

AU - Illig, Thomas

AU - Schreiber, Stefan

AU - Witzenrath, Martin

AU - Heuschmann, Peter

AU - Vehreschild, Jörg Janne

AU - NAPKON Study Group

AU - Addo, Marylyn Martina

N1 - © 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 registration https://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 registration https://clinicaltrials.gov/ct2/show/NCT04768998 . https://clinicaltrials.gov/ct2/show/NCT04747366 . https://clinicaltrials.gov/ct2/show/NCT04679584.

KW - Adult

KW - COVID-19/epidemiology

KW - Child

KW - Clinical Trials as Topic

KW - Female

KW - Humans

KW - Intensive Care Units

KW - Male

KW - Middle Aged

KW - Pandemics

KW - Research Design

KW - SARS-CoV-2

U2 - 10.1007/s10654-022-00896-z

DO - 10.1007/s10654-022-00896-z

M3 - SCORING: Review article

C2 - 35904671

VL - 37

SP - 849

EP - 870

JO - EUR J EPIDEMIOL

JF - EUR J EPIDEMIOL

SN - 0393-2990

IS - 8

ER -