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.

Saved in:
Bibliographic Details
Title: 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.
Authors: Conderino S; Department of Population Health, NYU Grossman School of Medicine, New York, NY, United States., Kirchner HL; Department of Population Health Sciences, Geisinger, Danville, PA, United States., Thorpe LE; Department of Population Health, NYU Grossman School of Medicine, New York, NY, United States., Divers J; Department of Foundations of Medicine, NYU Long Island School of Medicine, New York, NY, United States., Hirsch AG; Department of Population Health Sciences, Geisinger, Danville, PA, United States., Nordberg CM; Department of Population Health Sciences, Geisinger, Danville, PA, United States., Schwartz BS; Department of Population Health Sciences, Geisinger, Danville, PA, United States.; Department of Environmental Health and Engineering, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, United States., Zhang L; Division of Pediatric Neurosurgery, Ann & Robert H. Lurie Children's Hospital of Chicago, and Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, United States., Cai B; Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, United States., Rudisill C; Department of Health Promotion, Education, and Behavior, University of South Carolina, Columbia, SC, United States., Obeid JS; Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, United States., Liese A; Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, United States., Allen KS; Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, United States.; Department of Health Policy and Management, Fairbanks School of Public Health, Indiana University Indianapolis, Indianapolis, IN, United States., Dixon BE; Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, United States.; Department of Health Policy and Management, Fairbanks School of Public Health, Indiana University Indianapolis, Indianapolis, IN, United States., Crume T; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD), University of Colorado Denver Anschutz Medical Campus, Aurora, CO, United States., Dabelea D; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD), University of Colorado Denver Anschutz Medical Campus, Aurora, CO, United States., Burgett S; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD), University of Colorado Denver Anschutz Medical Campus, Aurora, CO, United States., Bellatorre A; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD), University of Colorado Denver Anschutz Medical Campus, Aurora, CO, United States., Shao H; Department of Pharmaceutical Outcomes and Policy, University of Florida College of Pharmacy, Gainesville, FL, United States., Bian J; Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, United States., Guo Y; Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, United States., Bost S; Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, United States., Lyu T; Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, United States., Reynolds K; Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States., Mefford MT; Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States., Zhou H; Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States., Zhou M; Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States., Lustigova E; Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States., Utidjian LH; Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, United States., Maltenfort M; Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, United States., Kamboj M; Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, United States., Mendonca EA; Division of Biomedical Informatics, Cincinnati Children's Medical Center, and Department of Pediatrics, University of Cincinnati, Cincinnati, OH, United States., Hanley P; Division of Pediatric Endocrinology, Nemours Children's Hospital, Wilmington, DE, United States., Zaganjor I; Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA, United States., Pavkov ME; Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA, United States., Rosenman M; Department of Pediatrics, Ann & Robert H. Lurie Children's Hospital of Chicago, and Northwestern University Feinberg School of Medicine, Chicago, IL, United States., Titus AR; Department of Population Health, NYU Grossman School of Medicine, New York, NY, United States.
Corporate Authors: DiCAYA Study Group
Source: Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2026 Mar 01; Vol. 33 (3), pp. 710-718.
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9430800 Publication Model: Print Cited Medium: Internet ISSN: 1527-974X (Electronic) Linking ISSN: 10675027 NLM ISO Abbreviation: J Am Med Inform Assoc Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1527-974X
DOI:10.1093/jamia/ocaf229