The Accuracy of Repeated Sleep Studies in OSA: A Longitudinal Observational Study With 14 Nights of Oxygen Saturation Monitoring.

Chest

Department of Pulmonology, University Hospital Zurich, Zurich, Switzerland; Centre for Interdisciplinary Sleep Research, University of Zurich, Zurich, Switzerland. Electronic address:

Published: March 2021

Background: Strong evidence exists for clinically relevant night-to-night variability of respiratory events in patients with suspected OSA.

Research Question: How many sleep study nights are required to diagnose OSA accurately?

Study Design And Methods: Patients with suspected OSA underwent up to 14 nights of pulse oximetry (PO) at home and one night of in-hospital respiratory polygraphy (RP). The accuracy of each of the 13 sleep study nights was analyzed using the mean oxygen desaturation index 3% (ODI) of all 14 nights as a reference. Multiple regression analyses assessed possible predictors for night-to-night variability.

Results: One hundred three patients underwent in-hospital RP. Using only the results of the RP, 19.7% were misdiagnosed using an ODI cutoff of 15/h. One hundred eight patients underwent properly performed PO studies at home with a coefficient of variation (CV) of 31.5% (SD, 14.7%) across all nights. The first PO night demonstrated a sensitivity of 71.4% (95% CI, 55.4%-84.3%) and a specificity of 89.4% (95% CI, 79.4%-95.6%) to diagnose moderate OSA. Using only the first PO night, the negative predictive value was 83.1%. Adding a second recording night increased sensitivity up to 88.1% (95% CI, 74.4%-96.0%) with a slightly lower specificity of 85.9% (95% CI, 74.9%-93.4%). The ODI of the in-hospital RP showed an independent negative association to the log-transformed CV (exponentiated coefficient, 0.989; 95% CI, 0.984-0.995).

Interpretation: One single night of in-hospital RP may miss relevant OSA. Multiple study nights, for example, using ambulatory oxygen saturation monitoring, increase accuracy for diagnosing moderate OSA.

Trial Registry: ClinicalTrials.gov; No.: NCT03819361; URL: www.clinicaltrials.gov.

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Source
http://dx.doi.org/10.1016/j.chest.2020.09.098DOI Listing

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