Characterizing Sleep Disorders in an Autism-Specific Collection of Electronic Health Records

Autor: Angela C. Maxwell-Horn, Donald Hucks, Maria Niarchou, Lea K. Davis, EV Singer, Beth A. Malow, James S. Sutcliffe, Rebecca Johnston
Rok vydání: 2021
Předmět:
DOI: 10.1101/2021.10.29.21265659
Popis: BackgroundSleep problems are common in individuals with autism spectrum disorder (ASD). This study reviews one detailed approach to querying the electronic health record (EHR).MethodsWe developed methods for identifying individuals with ASD and defined their sleep problems using International Classification of Diseases (ICD) codes or key words. We examined treatment responses to melatonin.ResultsSleep problems were documented in 86% of patients and using specific keywords yielded more sleep diagnoses than ICD codes alone. About two-thirds of patients benefitted from melatonin.ConclusionsOur study provides a framework for using deidentified medical records to characterize sleep, a common co-occurring condition, in ASD. Using specific keywords could be helpful in future work that queries the EHR.
Databáze: OpenAIRE