The German National Pandemic Cohort Network (NAPKON): rationale, study design and baseline characteristics.
Maximilian SchonsLisa PilgramJens-Peter ReeseMelanie StecherGabriele AntonKatharina S AppelThomas BahmerAlexander BartschkeCarla BellinghausenInga BernemannMarkus BrechtelFolke BrinkmannClara BrünnChristine DhillonCornelia FiesslerSabrina HeidtHamelmann EckardStefan HanschFrank HansesSabine HanßSusanne HeroldRalf HeyderAnna-Lena HofmannSina Marie HopffAnna HornCarolin E M JakobSteffi Jírů-HillmannThomas KeilYascha KhodamoradiMirjam KohlsMonika KrausDagmar KreftingSonja KunzeFlorian KurthWolfgang LiebLena Johanna LippertRoberto LorbeerBettina Lorenz-DepiereuxCorina MaetzlerOlga MiljukovMatthias NauckDaniel PapeValentina O PuntmannLennart ReinkeChristoph RömmeleStefanie RudolphJulian SassChristian SchäferJens SchallerMario SchattschneiderChristian S ScheerMargarete SchererSein SchmidtJulia SchmidtKristina SeibelDana StahlFridolin SteinbeisStefan StoerkMaike K GroenewoldJohannes Josef TebbeCharlotte ThibeaultNicole ToepfnerKathrin UngethümIstván VadászHeike ValentinSilke WiedmannThomas ZollerEike NagelMichael KrawczakChristof von KalleThomas IlligStefan SchreiberMartin WitzenrathPeter Ulrich HeuschmannJörg Janne Vehreschildnull nullPublished in: European journal of epidemiology (2022)
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.
Keyphrases
- sars cov
- coronavirus disease
- respiratory syndrome coronavirus
- end stage renal disease
- patient reported outcomes
- intensive care unit
- high resolution
- ejection fraction
- chronic kidney disease
- newly diagnosed
- quality improvement
- healthcare
- peritoneal dialysis
- computed tomography
- magnetic resonance imaging
- prognostic factors
- big data
- image quality
- risk assessment
- young adults
- mass spectrometry
- network analysis