Validation of Case Identification for Alopecia Areata Using International Classification of Diseases Coding.
Int J Trichology
; 12(5): 234-237, 2020.
Article
en 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 ANDMETHODS:
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.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Tipo de estudio:
Clinical_trials
/
Diagnostic_studies
/
Prognostic_studies
Idioma:
En
Revista:
Int J Trichology
Año:
2020
Tipo del documento:
Article
País de afiliación:
Estados Unidos