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Challenges in defining Long COVID: Striking differences across literature, Electronic Health Records, and patient-reported information
Halie M. Rando; Tellen D. Bennett; James Brian Byrd; Carolyn Bramante; Tiffany J. Callahan; Christopher G. Chute; Hannah Davis; Rachel Deer; Joel Gagnier; Farrukh M Koraishy; Feifan Liu; Julie A. McMurry; Richard A. Moffitt; Emily R. Pfaff; Justin T. Reese; Rose Relevo; Peter N. Robinson; Joel H. Saltz; Anthony Solomonides; Anupam Sule; Umit Topaloglu; Melissa A. Haendel.
Affiliation
  • Halie M. Rando; Center for Health AI, University of Colorado School of Medicine, Aurora, CO, USA; Department of Biochemistry and Molecular Genetics, University of Colorado Scho
  • Tellen D. Bennett; Section of Informatics and Data Science, Department of Pediatrics, University of Colorado School of Medicine, University of Colorado, Aurora, CO, USA
  • James Brian Byrd; The University of Michigan at Ann Arbor, Ann Arbor, MI, USA
  • Carolyn Bramante; University of Minnesota, Minneapolis, MN, USA
  • Tiffany J. Callahan; Computational Bioscience, University of Colorado Anschutz Medical Campus, Boulder, CO, USA
  • Christopher G. Chute; Schools of Medicine, Public Health, and Nursing, Johns Hopkins University, Baltimore, MD, USA
  • Hannah Davis; Patient-Led Research for COVID-19
  • Rachel Deer; The University of Texas Medical Branch at Galveston
  • Joel Gagnier; The University of Michigan at Ann Arbor, Ann Arbor, MI, USA
  • Farrukh M Koraishy; Stony Brook University, Stony Brook, NY, USA
  • Feifan Liu; University of Massachusetts Medical School Worcester, Worcester, MA, USA
  • Julie A. McMurry; University of Colorado Denver I Anschutz Medical Campus, Aurora, CO, USA
  • Richard A. Moffitt; Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY, USA
  • Emily R. Pfaff; Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
  • Justin T. Reese; Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
  • Rose Relevo; Oregon Health & Science University, Portland, OR, USA
  • Peter N. Robinson; The Jackson Laboratory For Genomic Medicine, Farmington, CT, USA; Institute for Systems Genomics, University of Connecticut, Farmington, CT, USA.
  • Joel H. Saltz; Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY, USA
  • Anthony Solomonides; Research Institute, NorthShore University HealthSystem, Evanston, IL, USA
  • Anupam Sule; Saint Joseph Mercy Health System, Ypsilanti, MI, USA
  • Umit Topaloglu; School of Medicine, Wake Forest University, Winston Salem, NC, USA
  • Melissa A. Haendel; University of Colorado Denver I Anschutz Medical Campus, Aurora, CO, USA
Preprint in English | medRxiv | ID: ppmedrxiv-21253896
ABSTRACT
Since late 2019, the novel coronavirus SARS-CoV-2 has introduced a wide array of health challenges globally. In addition to a complex acute presentation that can affect multiple organ systems, increasing evidence points to long-term sequelae being common and impactful. The worldwide scientific community is forging ahead to characterize a wide range of outcomes associated with SARS-CoV-2 infection; however the underlying assumptions in these studies have varied so widely that the resulting data are difficult to compareFormal definitions are needed in order to design robust and consistent studies of Long COVID that consistently capture variation in long-term outcomes. Even the condition itself goes by three terms, most widely "Long COVID", but also "COVID-19 syndrome (PACS)" or, "post-acute sequelae of SARS-CoV-2 infection (PASC)". In the present study, we investigate the definitions used in the literature published to date and compare them against data available from electronic health records and patient-reported information collected via surveys. Long COVID holds the potential to produce a second public health crisis on the heels of the pandemic itself. Proactive efforts to identify the characteristics of this heterogeneous condition are imperative for a rigorous scientific effort to investigate and mitigate this threat.
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Full text: Available Collection: Preprints Database: medRxiv Type of study: Observational study Language: English Year: 2021 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Observational study Language: English Year: 2021 Document type: Preprint
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