ORIGINAL ARTICLE
Year : 2020 | Volume
: 12 | Issue : 5 | Page : 234--237
Validation of case identification for alopecia areata using international classification of diseases coding
Jonathan Lavian1, Sara Jiayang Li2, Eunice Yoojin Lee1, Lindsey A Bordone1, Fernanda C G. Polubriaginof3, Angela M Christiano4, Arash Mostaghimi2
1 Department of Dermatology, Columbia University Irving Medical Center, New York, NY, USA
2 Department of Dermatology, Brigham and Woman's Hospital, Harvard Medical School, Boston, MA, USA
3 Division of Health Informatics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
4 Department of Dermatology; Department of Genetics and Development, Columbia University Irving Medical Center, New York, NY, USA
Correspondence Address:
Angela M Christiano
Department of Dermatology, Columbia University Irving Medical Center, 1150 Saint Nicholas Ave, Rm 307B, New York, NY 10032
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.
How to cite this article:
Lavian J, Li SJ, Lee EY, Bordone LA, G. Polubriaginof FC, Christiano AM, Mostaghimi A. Validation of case identification for alopecia areata using international classification of diseases coding.Int J Trichol 2020;12:234-237
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How to cite this URL:
Lavian J, Li SJ, Lee EY, Bordone LA, G. Polubriaginof FC, Christiano AM, Mostaghimi A. Validation of case identification for alopecia areata using international classification of diseases coding. Int J Trichol [serial online] 2020 [cited 2023 Apr 1 ];12:234-237
Available from: https://www.ijtrichology.com/article.asp?issn=0974-7753;year=2020;volume=12;issue=5;spage=234;epage=237;aulast=Lavian;type=0 |
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