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Insights from a Rapidly Implemented COVID-19 Biobank Using Electronic Consent and Informatics Tools.

Emily F Higgs1, Blake A Flood1, Athalia R Pyzer2

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Summary
This summary is machine-generated.

This study details a novel electronic framework for biobanking COVID-19 patient samples, overcoming pandemic challenges to enable comprehensive immune profiling and data analysis for future research.

Keywords:
COVID-19REDCapbiobankelectronic health record

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Area of Science:

  • Infectious Diseases
  • Immunology
  • Biobanking

Background:

  • Biobanking during the COVID-19 pandemic faced significant hurdles in patient enrollment, sample collection, and analysis.
  • Maintaining clinician and researcher safety was paramount amidst the rapid spread of the virus.

Purpose of the Study:

  • To describe a novel electronic framework for biobanking COVID-19 patient samples.
  • To overcome pandemic-related challenges in sample collection and data analysis.
  • To enable comprehensive immune profiling of COVID-19 patients.

Main Methods:

  • Developed a REDCap (Research Electronic Data Capture) pipeline for electronic informed consent, sample collection, and data analysis.
  • Integrated immunological assay data with electronic health record clinical data.
  • Collected blood, nasopharyngeal swabs for cytokine, chemokine, immune cell, antibody, gene polymorphism, viral titer, and microbiome analysis.

Main Results:

  • Successfully biobanked samples and clinical data from 193 inpatients, 89 outpatients, 157 curbside tested patients, and 86 healthy controls.
  • Established a robust database linking immunological parameters with clinical readouts.
  • Enabled comprehensive immune profiling through integrated data analysis.

Conclusions:

  • The developed electronic framework and computational pipeline effectively addressed biobanking challenges during the COVID-19 pandemic.
  • This approach facilitated rapid and safe sample biobanking and analysis, providing valuable insights into COVID-19 immunology.
  • The strategies and framework are adaptable for future biobank studies in infectious disease research.