Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
  • Physician-Scientist Development
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Immunology
    • Metabolism
    • Nephrology
    • Oncology
    • Pulmonology
    • All ...
  • Videos
  • Collections
    • In-Press Preview
    • Resource and Technical Advances
    • Clinical Research and Public Health
    • Research Letters
    • Editorials
    • Perspectives
    • Physician-Scientist Development
    • Reviews
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • In-Press Preview
  • Resource and Technical Advances
  • Clinical Research and Public Health
  • Research Letters
  • Editorials
  • Perspectives
  • Physician-Scientist Development
  • Reviews
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact

Usage Information

Performance of expanded diagnostic criteria for APECED in independent cohorts and implications for earlier diagnosis
Elise M.N. Ferré, Joseph Pechacek, Monica M. Schmitt, Taura Webb, Heather Moorman, Thomas DiMaggio, Princess Barber, Vasielios Oikonomou, Stacey R. Rose, Peter D. Burbelo, Lindsey B. Rosen, Amy P. Hsu, Jennifer Stoddard, Shakuntala Rampertaap, Sergio D. Rosenzweig, Anjali Rai, Maria Teresa Magone, Chantal Cousineau-Krieger, Niki M. Moutsopoulos, Pamela J. Gardner, Heidi H. Kong, Leslie Castelo-Soccio, Ariane Soldatos, Katherine R. Calvo, Meryl Waldman, Behdad Afzali, Stefania Pittaluga, David Kleiner, Steven M. Holland, Kevin Fennelly, Jill Rothschild, Bryce A. Seifert, Magdalena Walkiewicz-Yvon, Theo Heller, Karen Winer, Michail S. Lionakis
Elise M.N. Ferré, Joseph Pechacek, Monica M. Schmitt, Taura Webb, Heather Moorman, Thomas DiMaggio, Princess Barber, Vasielios Oikonomou, Stacey R. Rose, Peter D. Burbelo, Lindsey B. Rosen, Amy P. Hsu, Jennifer Stoddard, Shakuntala Rampertaap, Sergio D. Rosenzweig, Anjali Rai, Maria Teresa Magone, Chantal Cousineau-Krieger, Niki M. Moutsopoulos, Pamela J. Gardner, Heidi H. Kong, Leslie Castelo-Soccio, Ariane Soldatos, Katherine R. Calvo, Meryl Waldman, Behdad Afzali, Stefania Pittaluga, David Kleiner, Steven M. Holland, Kevin Fennelly, Jill Rothschild, Bryce A. Seifert, Magdalena Walkiewicz-Yvon, Theo Heller, Karen Winer, Michail S. Lionakis
View: Text | PDF
Research Article Clinical Research Immunology

Performance of expanded diagnostic criteria for APECED in independent cohorts and implications for earlier diagnosis

  • Text
  • PDF
Abstract

Autoimmune polyendocrinopathy-candidiasis-ectodermal dystrophy (APECED/APS-1) is a monogenic autoimmune disorder of impaired central tolerance classically diagnosed by the presence of 2 out of 3 classic triad manifestations: chronic mucocutaneous candidiasis, hypoparathyroidism, and adrenal insufficiency. However, many patients develop non-triad manifestations years earlier, delaying recognition and care. In 2016, we proposed expanded diagnostic criteria incorporating 3 early clinical manifestations — APECED rash, autoimmune enteritis, and enamel hypoplasia — based on observations in 35 North American patients. Here, we provide further support for the clinical utility of these expanded diagnostic criteria in independent cohorts of 57 American and 12 European patients enrolled in a prospective natural history study at the NIH. Across all cohorts, the expanded diagnostic criteria decreased the time to diagnosis by half relative to the classic diagnostic criteria. Patients exhibited an enrichment of early non-endocrine autoimmune manifestations, underscoring disease heterogeneity and the potential for developing organ-specific autoimmunity before endocrine failure. These findings demonstrate the clinical utility of the expanded APECED diagnostic criteria and support the notion that their adoption might enable earlier disease recognition and timely immunomodulatory therapy to improve long-term outcomes.

Authors

Elise M.N. Ferré, Joseph Pechacek, Monica M. Schmitt, Taura Webb, Heather Moorman, Thomas DiMaggio, Princess Barber, Vasielios Oikonomou, Stacey R. Rose, Peter D. Burbelo, Lindsey B. Rosen, Amy P. Hsu, Jennifer Stoddard, Shakuntala Rampertaap, Sergio D. Rosenzweig, Anjali Rai, Maria Teresa Magone, Chantal Cousineau-Krieger, Niki M. Moutsopoulos, Pamela J. Gardner, Heidi H. Kong, Leslie Castelo-Soccio, Ariane Soldatos, Katherine R. Calvo, Meryl Waldman, Behdad Afzali, Stefania Pittaluga, David Kleiner, Steven M. Holland, Kevin Fennelly, Jill Rothschild, Bryce A. Seifert, Magdalena Walkiewicz-Yvon, Theo Heller, Karen Winer, Michail S. Lionakis

×

Usage data is cumulative from July 2026 through July 2026.

Usage JCI PMC
Text version 242 0
PDF 65 0
Figure 37 0
Table 29 0
Supplemental data 18 0
Citation downloads 20 0
Totals 411 0
Total Views 411

Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

Advertisement

Copyright © 2026 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts