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Validation of Case Identification for Alopecia Areata Using International Classification of Diseases Coding
Jonathan Lavian1, Sara Jiayang Li2, Eunice Yoojin Lee1
1Department of Dermatology, Columbia University Irving Medical Center, New York, NY, USA.
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.
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