Multi-site analysis of COVID-19 and new-onset diabetes reveals need for improved sensitivity of EHR-based COVID-19 phenotypes—a DiCAYA Network analysis

Given the potential for low phenotype sensitivity and misclassification, caution is warranted when interpreting analyses of COVID-19 and incident diabetes using clinical or administrative databases.

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Publication Details

Journal
Journal of the American Medical Informatics Association
Published
2025-12-24
DOI
https://doi.org/10.1093/jamia/ocaf229
Primary Topic
Diabetes and associated disorders
Type
article
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article

Multi-site analysis of COVID-19 and new-onset diabetes reveals need for improved sensitivity of EHR-based COVID-19 phenotypes—a DiCAYA Network analysis

Thomas W. Carton, Andrew Fair, Elizabeth Nauman, Levon Utidjian et al.
Journal of the American Medical Informatics Association
Diabetes and associated disorders
article

Multi-site analysis of COVID-19 and new-onset diabetes reveals need for improved sensitivity of EHR-based COVID-19 phenotypes—a DiCAYA Network analysis

Thomas W. Carton, Andrew Fair, Elizabeth Nauman, Levon Utidjian, T. Hannon, Harold P. Lehmann, Matthew T. Mefford, Katie Allen, TIANCHEN LYU, D G Christakis, Chinyere E. Okpara, J C Pattee, Joseph DeWalle, Brian E. Dixon, Bo Cai, L S Knight, Jiang Bian, Eneida A. Mendonça, PIAOPIAO LI, William T. Donahoo, George Lales, Anna Bellatorre, Theresa M. Anderson, Jihad S. Obeid, Elaine Apperson, Stefanie Bendik, Patrick C. Hanley, Shawna Burgett, Kristi Reynolds, Meredith Akerman, A Poissant, Don McCarthy, Deborah Bowlby, A D Liese, Ashley Wiensch, Sarah Conderino, Jasmin Divers, Rebecca Anthopolos, Deborah B. Rolka, Hui Cynthia Zhou, T L Crume, Alex Ewing, Dione G. Mercer, Caroline Rudisill, Eva Lustigova, S Bost, Jessica Guillaume, SARAH BOST, Tessa Crume, Cara Nordberg, MANMOHAN K. KAMBOJ, L.E. Thorpe, Annemarie G. Hirsch, Melody Kitzmiller, Daksha Ranade, Nimish R. Valvi, Mitchell Maltenfort, Marc B. Rosenman, Jessica Stucker, A. Liese, Bo Cai, Dana Dabelea, Jeff S. Warvel, ANDREA TITUS, MATT M. ZHOU, Meredith W. Lewis, Sara Deakyne-Davies, Tim Bunnell, Allison Zelinski, H Lester Kirchner, Ibrahim Zaganjor, Lu Zhang, Brian S Schwartz, Meda E Pavkov, Yi Guo, Lorna E Thorpe, Hui Shao, H Lester Kirchner, Amy Shah, Ibrahim Zaganjor, Levon Utidjian, Anna Roberts, Lu Zhang, Mitch Maltenfort, Brian S Schwartz, Marc Rosenman, Christopher Forrest, William R Hogan, Shahidul Islam, Mattia Prosperi, Meda E Pavkov, Yi Guo, John Chang, Yuan Luo, Mark Weiner, Giuseppina Imperatore, Charles Bailey, Jiang Bian, Anand Rajan, Pedro Rivera, Shaun J Grannis, Dana Dabelea, David C Lee, Jasmin Divers, DiCAYA Study Group, Alan Jacobson, Rong Wei, Brian E Dixon, Rebecca Conway, G Todd Alonso, Yonghui Wu, Kristi Reynolds, Hui Zhou, Elizabeth A Shenkman, Tianchen Lyu, Toan Ong, Anthony Wong, Annemarie G Hirsch, Hui Xie, Anne Kazak
article en

Abstract

Given the potential for low phenotype sensitivity and misclassification, caution is warranted when interpreting analyses of COVID-19 and incident diabetes using clinical or administrative databases.

Journal of the American Medical Informatics AssociationVol. 33(3)
Indiana University Health (US), Cincinnati Children's Hospital Medical Center (US), Centers for Disease Control and Prevention (US), South Carolina Department of Education (US), Regenstrief Institute (US), Children's Hospital of Philadelphia (US), Kaiser Permanente (US), Long Island University (US), Johns Hopkins University (US), Medical University of South Carolina (US), University of South Carolina (US), University of Florida Health (US), Community Health Systems - Dupont Hospital (US), Nemours Children's Health System (US), The Centers (US), Lurie Children's Hospital (US), Robert H. Lurie Comprehensive Cancer Center of Northwestern University, University of Colorado Anschutz Medical Campus (US), Geisinger Health System (US), Indiana University – Purdue University Indianapolis (US), New York University (US), University of Cincinnati (US), Florida College (US)
Openalex Percentile: Top 25%
Diabetes and associated disorders
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