Accuracy of the International Classification of Diseases, 9th Revision for Identifying Infantile Eye Disease
Autor: | Launia J. White, Tina M. Hendricks, Sasha A. Mansukhani, Timothy T. Xu, Cole E. Bothun, Brian G. Mohney, Erick D. Bothun |
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Rok vydání: | 2023 |
Předmět: |
Pediatrics
medicine.medical_specialty Eye Diseases Epidemiology Eye disease Population International Classification of Diseases Predictive Value of Tests Lacrimal Duct Obstruction Medicine Pseudostrabismus Humans education Child Retrospective Studies education.field_of_study business.industry Medical record Retrospective cohort study medicine.disease Conjunctivitis Anisocoria Ophthalmology Nasolacrimal duct obstruction Pediatrics Perinatology and Child Health Cohort Pediatric ophthalmology business Nasolacrimal Duct |
Zdroj: | Ophthalmic epidemiology. 29(6) |
ISSN: | 1744-5086 |
Popis: | PURPOSE To determine the predictive value of International Classification of Diseases, 9th Revision (ICD-9) codes for identifying infantile eye diagnoses. METHODS Population-based retrospective cohort study of all residents of Olmsted County, Minnesota diagnosed at ≤1 year of age with an ocular disorder. The medical records of all infants diagnosed with any ocular disorder from January 1, 2005, through December 31, 2014, were identified. To assess ICD-9 code accuracy, the medical records of all diagnoses with ≥20 cases were individually reviewed and compared to their corresponding ICD-9 codes. Main outcome measures included positive predictive value (PPV), negative predictive value (NPV), sensitivity, and specificity of ICD-9 codes. RESULTS In a cohort of 5,109 infants with ≥1 eye-related ICD-9 code, 10 ocular diagnoses met study criteria. The most frequent diagnoses were conjunctivitis (N = 1,695) and congenital nasolacrimal duct obstruction (N = 1,250), while the least common was physiologic anisocoria (N = 23). The PPVs ranged from 8.3% to 88.0%, NPVs from 96.3% to 100%, sensitivity from 3.0% to 98.7%, and specificity from 72.6% to 99.9%. ICD-9 codes were most accurate at identifying physiologic anisocoria (PPV: 88.0%) and least accurate at identifying preseptal cellulitis (PPV: 8.3%). In eye specialists versus non-eye specialists, there was a significant difference in PPV of ICD-9 codes for conjunctivitis (26.8% vs. 63.9%, p |
Databáze: | OpenAIRE |
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