Julia Tervamaki Author

Research Article Open Access

Predicting Technical Success in Home Sleep Apnea Test

Author(s):

Anniina Alakuijala, Julia Tervamaki, Paula Maasilta and
Adel Bachour

Background: Home sleep apnea tests are economical but their technical failure rate is higher than with in-lab studies. We aimed to predict factors related to failures. Methods: Altogether, 1,055 consecutive respiratory polygraphy recordings for subjects aged 16-90 years (38% female) were included. The sleep nurses were asked to predict the success of the upcoming recording according to their experienced perception. The recording was considered successful if the main recorded parameters (nasal flow, thoracic and abdominal movements, blood oxygen saturation, snoring, and posture) were intelligible during ≥80% of the night. Results: Defects due to a recording device caused a failure rate of 4.4%, and those recordings were excluded from further analyses. Subject-related reasons caused a ... view more»

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