Classification criteria for Fuchs uveitis syndrome

Research output: Contribution to journalArticlepeer-review


  • The Standardization of Uveitis Nomenclature (Sun) Working Group

Colleges, School and Institutes

External organisations

  • Johns Hopkins University
  • Department of Pathology, National University Hospital, Singapore.
  • University of Sydney
  • Nottingham University Hospitals NHS Trust
  • Emmes Company
  • University of Colorado
  • Oregon Health and Sciences University
  • University of Texas
  • Northwestern University


PURPOSE: To determine classification criteria for Fuchs uveitis syndrome.

DESIGN: Machine learning of cases with Fuchs uveitis syndrome and 8 other anterior uveitides.

METHODS: Cases of anterior uveitides were collected in an informatics-designed preliminary database, and a final database was constructed of cases achieving supermajority agreement on the diagnosis, using formal consensus techniques. Cases were split into a training set and a validation set. Machine learning using multinomial logistic regression was used on the training set to determine a parsimonious set of criteria that minimized the misclassification rate among the anterior uveitides. The resulting criteria were evaluated on the validation set.

RESULTS: One thousand eighty-three cases of anterior uveitides, including 146 cases of Fuchs uveitis syndrome, were evaluated by machine learning. The overall accuracy for anterior uveitides was 97.5% in the training set and 96.7% in the validation set (95% confidence interval 92.4, 98.6). Key criteria for Fuchs uveitis syndrome included unilateral anterior uveitis with or without vitritis and either: 1) heterochromia or 2) unilateral diffuse iris atrophy and stellate keratic precipitates. The overall accuracy for anterior uveitides was 97.5% in the training set (95% confidence interval [CI] 96.3, 98.4) and 96.7% in the validation set (95% CI 92.4, 98.6). The misclassification rates for FUS were 4.7% in the training set and 5.5% in the validation set, respectively.

CONCLUSIONS: The criteria for Fuchs uveitis syndrome had a low misclassification rate and appeared to perform well enough for use in clinical and translational research.

Bibliographic note

Copyright © 2021 Elsevier Inc. All rights reserved.


Original languageEnglish
JournalAmerican Journal of Ophthalmology
Early online date11 May 2021
Publication statusE-pub ahead of print - 11 May 2021