Sleep apnea is nowadays recognized as a treatable chronic disease and awareness of it has increased, leading to an upsurge in demand for diagnostic testing. Conventionally, diagnosis depends on overnight polysomnography in a sleep clinic, which is highly human-resource intensive and ignores the night-to-night variability in classical sleep apnea markers, such as the apnea-hypopnea index. In this review, the authors summarize the main improvements that could be made in the sleep apnea diagnosis strategy; how technological innovations and multi-night home testing could be used to simplify, increase access, and reduce costs of diagnostic testing while avoiding misclassification of severity.
Pépin, J.-L., Tamisier, R., Baillieul, S., Ben Messaoud, R., Foote, A., Bailly, S., & Martinot, J.-B. (2023). Creating an Optimal Approach for Diagnosing Sleep Apnea. Sleep Medicine Clinics, 18(3), 301-309. https://doi.org/10.1016/j.jsmc.2023.05.004 (Original work published 2023)