Validation of case identification for alopecia areata using international classification of diseases coding Journal Article


Authors: Lavian, J.; Li, S. J.; Lee, E. Y.; Bordone, L. A.; Polubriaginof, F. C. G.; Christiano, A. M.; Mostaghimi, A.
Article Title: Validation of case identification for alopecia areata using international classification of diseases coding
Abstract: Background: Search algorithms used to identify patients with alopecia areata (AA) need to be validated prior to use in large databases. Objectives: The aim of the study is to assess whether patients with an International Statistical Classification of Diseases and Related Health Problems (ICD) 9 or 10 code for AA have a true diagnosis of AA. Materials and Methods: A multicenter retrospective review was performed at Columbia University Irving Medical Center, Brigham and Women's Hospital, and Massachusetts General Hospital to determine whether patients with an ICD 9 codes (704.01-AA) or ICD 10 codes (L63.0-Alopecia Totalis, L63.1-Alopecia Universalis, L63.2-Ophiasis, L63.8-other AA, and L63.9-AA, unspecified) for AA met diagnostic criteria for the disease. Results: Of 880 charts, 97.5% had physical examination findings consistent with AA, and 90% had an unequivocal diagnosis. AA was diagnosed by a dermatologist in 87% of the charts. The positive predictive value (PPV) of the ICD 9 code 704.01 was 97% (248/255). The PPV for the ICD 10 codes were 64% (75/118) for L63.0, 86% (130/151) for L63.1, 50% (1/2) for L63.2, 91% (81/89) for L63.8, and 93% (247/265) for L63.9. Overall, 89% (782/880) of patients with an ICD code for AA were deemed to have a true diagnosis of AA. Conclusions: Patients whose medical records contain an AA-Associated ICD code have a high probability of having the condition. © 2020 Wolters Kluwer Medknow Publications. All rights reserved.
Keywords: validation; international classification of diseases; database; alopecia areata; positive predictive value
Journal Title: International Journal of Trichology
Volume: 12
Issue: 5
ISSN: 0974-7753
Publisher: Wolters Kluwer  
Date Published: 2020-09-01
Start Page: 234
End Page: 237
Language: English
DOI: 10.4103/ijt.ijt_67_20
PROVIDER: scopus
PMCID: PMC7832161
PUBMED: 33531746
DOI/URL:
Notes: Article -- Export Date: 1 December 2020 -- Source: Scopus
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