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Validating Coding for the Identification of Pediatric Treatment Resistant Epilepsy Patients.
Freedman, Daniel A; Grinspan, Zachary; Glynn, Peter; Mittlesteadt, Jackson; Dawes, Alex; Patel, Anup D.
Afiliación
  • Freedman DA; Dell Medical School, The University of Texas at Austin, Austin, TX, USA.
  • Grinspan Z; Weill Cornell Medical Center, New York, NY, USA.
  • Glynn P; Nationwide Children's Hospital, Columbus, OH, USA.
  • Mittlesteadt J; Nationwide Children's Hospital, Columbus, OH, USA.
  • Dawes A; Nationwide Children's Hospital, Columbus, OH, USA.
  • Patel AD; Nationwide Children's Hospital, Columbus, OH, USA.
Child Neurol Open ; 8: 2329048X211037806, 2021.
Article en En | MEDLINE | ID: mdl-34514022
ABSTRACT
The International Classification of Diseases (ICD) system includes sub codes to indicate that an individual with epilepsy is treatment resistant. These codes would be a valuable tool to identify individuals for quality improvement and population health, as well as for recruitment into clinical trials. However, the accuracy of these codes is unclear. We performed a single center cross sectional study to understand the accuracy of ICD codes for treatment resistant epilepsy. We identified 344 individuals, roughly half with treatment resistant epilepsy The ICD code had a sensitivity of 90% (147 of 164) and specificity of 86% (155 of 180). The miscoding of children with refractory epilepsy was attributed to the following reasons 5 patients had epilepsy surgery, 4 had absence epilepsy, 4 patients were seen by different providers, and 1 patient was most recently seen in movement disorders clinic. ICD codes accurately identify children with treatment resistant epilepsy.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Observational_studies Idioma: En Revista: Child Neurol Open Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Observational_studies Idioma: En Revista: Child Neurol Open Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos