Journal article
Accuracy and Performance Characteristics of Administrative Codes for the Diagnosis of Autoinflammatory Syndromes: A Discovery and Validation Study
Journal of clinical rheumatology, Vol.31(2), pp.60-64
03/2025
DOI: 10.1097/RHU.0000000000002172
PMCID: PMC12109933
PMID: 39823219
Abstract
Objective The aim of this study was to evaluate and validate the accuracy and performance characteristics of administrative codes in diagnosing autoinflammatory syndromes (AISs). Methods We identified potential AIS patients from the electronic medical records at the University of Iowa Hospital and Clinics and the Stead Family Children's Hospital using a screening filter based on the 10th edition of the International Classification of Diseases ( ICD-10 ) codes and interleukin-1 antagonists. Diagnostic criteria for adult-onset Still disease, systemic juvenile idiopathic arthritis, Behçet disease (BD), familial Mediterranean fever (FMF), cryopyrin-associated periodic syndrome (CAPS), and SAPHO (synovitis, acne, pustulosis, hyperostosis, and osteitis) syndrome and chronic nonbacterial osteomyelitis (SAPHO-CNO) were reviewed for each patient. Patients who did not meet the diagnostic criteria were categorized as non-AIS. In this cross-sectional study, we calculated the sensitivity, specificity, positive predictive value, negative predictive value, and area under the receiver operating characteristic curve for the ICD codes in diagnosing AIS. Results Out of the 502 patients with potential AIS, 338 patients (67%) had a true AIS diagnosis. Sensitivity ranged from 80% (SAPHO-CNO) to 100% (BD and FMF), and positive predictive value ranged from 15% (FMF) to 80% (SAPHO-CNO). Specificity ranged from 81% (FMF) to 99% (CAPS and SAPHO-CNO), whereas negative predictive value ranged from 98% (adult-onset Still disease) to 100% (systemic juvenile idiopathic arthritis, BD, FMF, and CAPS). All ICD codes or code combinations for the diagnosis of specific AIS subtypes showed high accuracy with areas under the receiver operating characteristic curve ≥0.89. Conclusions This study validated the accuracy of administrative codes for diagnosing AIS, supporting their use in constructing AIS cohorts for clinical outcomes research.
Details
- Title: Subtitle
- Accuracy and Performance Characteristics of Administrative Codes for the Diagnosis of Autoinflammatory Syndromes: A Discovery and Validation Study
- Creators
- Saeyun Lee - University of Iowa, Internal MedicineSujin Kim - University of KentuckySuzanne Segerstrom - Oregon State UniversityPolly J. Ferguson - University of IowaAleksander Lenert - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Journal of clinical rheumatology, Vol.31(2), pp.60-64
- DOI
- 10.1097/RHU.0000000000002172
- PMID
- 39823219
- PMCID
- PMC12109933
- NLM abbreviation
- J Clin Rheumatol
- ISSN
- 1076-1608
- eISSN
- 1536-7355
- Publisher
- LIPPINCOTT WILLIAMS & WILKINS
- Language
- English
- Electronic publication date
- 11/15/2024
- Date published
- 03/2025
- Academic Unit
- Stead Family Department of Pediatrics; Rheumatology, Allergy, and Immunology; Immunology; Internal Medicine
- Record Identifier
- 9984749260102771
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