Creating an Optimal Approach for Diagnosing Sleep Apnea.

Sleep Med Clin

Sleep Laboratory, CHU Université Catholique de Louvain (UCL) Namur Site Sainte-Elisabeth, Namur, Belgium; Institute of Experimental and Clinical Research, UCL Bruxelles Woluwe, Brussels, Belgium.

Published: September 2023

AI Article Synopsis

  • Sleep apnea is now seen as a treatable chronic disease, with increased awareness leading to higher demand for diagnosis.
  • Traditional diagnosis relies on overnight sleep studies in clinics, which are resource-heavy and may not capture variations in sleep apnea symptoms.
  • The authors suggest improving diagnosis through technological innovations and multi-night home testing to make it simpler, more accessible, and cost-effective while reducing misclassification of the disease's severity.*

Article Abstract

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.

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Source
http://dx.doi.org/10.1016/j.jsmc.2023.05.004DOI Listing

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