Beyond a Single Night: Improving OSA Diagnosis with Multi-Night Testing

Accurate diagnosis of obstructive sleep apnea (OSA) is critical to effective patient care, yet growing evidence shows that a single-night of testing might not tell the full story. Night-to-night variability in the apnea-hypopnea index (AHI), as well as the first night effect, can lead to underdiagnosis and misclassification, potentially delaying appropriate treatment.

Join us for a webinar on Thursday, May 14 at 1 PM CDT for 1 FREE CSTE credit.

Yoav Nygate, EnsoData’s VP of Artificial Intelligence, will explore the science behind AHI variability and its clinical implications, drawing on analysis from over 50,000 patients tested across multiple nights. He’ll demonstrate how multi-night testing reveals cases of moderate to severe OSA that are frequently missed with single-night studies.

Attendees will gain a deeper understanding of how reliance on a single night can lead to patient misclassification and how adopting a multi-night approach offers a more accurate, comprehensive view of true sleep health.

By the end of this webinar, participants will be able to:

1. Explain the underlying causes of night-to-night variability in AHI and its impact on OSA diagnosis.
2. Describe the limitations of single-night testing, including its associated misclassification rates.
3. Interpret data from large-scale patient analyses demonstrating the clinical value of multi-night testing.
4. Identify how multi-night testing improves detection of moderate to severe OSA (AHI ≥ 15).
5. Apply evidence based strategies to enhance diagnostic accuracy and optimize patient outcomes through multi-night testing.

Complete the form to register for the webinar.