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Updated: May 5, 2026

Drug-Induced Sleep Endoscopy DISE with Target Controlled Infusion TCI and Bispectral Analysis in Obstructive Sleep Apnea
Published on: December 6, 2016
Three-dimensional mean disease alleviation (3D-MDA): The next step in measuring sleep apnea treatment effectiveness
Thomas M Kaffenberger1, Ryan J Soose2, Patrick J Strollo3
1Department of Otolaryngology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA; Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA, USA.
Abstract:
Mean disease alleviation measures the effectiveness of Obstructive Sleep Apnea (OSA) treatments. It combines a patient's adherence to treatment normalized to their total sleep time and the treatment's efficacy as determined by the change in the apnea-hypopnea index. This metric fails to capture the patient's OSA-related symptoms, which are a key component and, in some cases, the primary component, of determining response to treatment. We propose an enhanced metric called three-dimensional mean disease alleviation (3D-MDA), which incorporates the symptom response to better reflect the true treatment impact. RESULTS: The proposed 3D-MDA metric aims to provide a more comprehensive assessment of OSA treatment effectiveness by integrating the subjective impact, therapy adherence, and objective efficacy. Further, 3D-MDA is adaptable over time as the optimal metrics for these categories continue to evolve.

