An essential component of this proposal is extracting relevant variables from electronic health data. This will include implementing an EHR algorithm for identifying OSA, and extracting the following information: - Presence of OSA (based on ICD-9/ICD-10 codes) - Demographics (age, gender, BMI, other co-morbidities) at time of OSA diagnosis or most recent in patients without an OSA diagnosis - Epworth Sleepiness Scale score (where available) - Date and type of sleep study performed (where available) - OSA severity measures extracted from in-laboratory or home sleep study (where available), including: total sleep/recording time, Apnea-Hypopnea Index, oxygen desaturation Index (4%), minutes of sleep/recording time spent with SaO2&lt;90, minimum SaO2 recorded.
|Effective start/end date||8/15/16 → 4/30/20|
- University of Pennsylvania (570229//5R01HL134015-04)
- National Heart, Lung, and Blood Institute (570229//5R01HL134015-04)
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