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Validation of Case Identification for Alopecia Areata Using International Classification of Diseases Coding.
Lavian, Jonathan; Li, Sara Jiayang; Lee, Eunice Yoojin; Bordone, Lindsey A; Polubriaginof, Fernanda C G; Christiano, Angela M; Mostaghimi, Arash.
Affiliation
  • Lavian J; Department of Dermatology, Columbia University Irving Medical Center, New York, NY, USA.
  • Li SJ; Department of Dermatology, Brigham and Woman's Hospital, Harvard Medical School, Boston, MA, USA.
  • Lee EY; Department of Dermatology, Columbia University Irving Medical Center, New York, NY, USA.
  • Bordone LA; Department of Dermatology, Columbia University Irving Medical Center, New York, NY, USA.
  • Polubriaginof FCG; Division of Health Informatics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Christiano AM; Department of Dermatology, Columbia University Irving Medical Center, New York, NY, USA.
  • Mostaghimi A; Department of Genetics and Development, Columbia University Irving Medical Center, New York, NY, USA.
Int J Trichology ; 12(5): 234-237, 2020.
Article in En | MEDLINE | ID: mdl-33531746
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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Clinical_trials / Diagnostic_studies / Prognostic_studies Language: En Journal: Int J Trichology Year: 2020 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Clinical_trials / Diagnostic_studies / Prognostic_studies Language: En Journal: Int J Trichology Year: 2020 Document type: Article Affiliation country: United States