Optimizing mask selection for obstructive sleep apnea treatment with CPAP

Area of Science:

• Pulmonary Medicine and Sleep Science
• Biomedical Engineering and Technology

Background:

• Continuous positive airway pressure (CPAP) therapy is a cornerstone for managing obstructive sleep apnea (OSA).
• Mask selection significantly impacts CPAP treatment efficacy and patient adherence.
• Previous studies suggest potential advantages of nasal masks over oronasal masks, though often limited by observational design.

Purpose of the Study:

• To provide clinicians with evidence-based rationale for selecting optimal CPAP masks for OSA patients.
• To review patient-centered approaches and emerging technologies in CPAP mask fitting.
• To discuss strategies for managing common CPAP mask-related issues, particularly air leaks.

Main Methods:

• This narrative review synthesizes current literature on CPAP mask selection for OSA.
• It examines comparative studies on nasal versus oronasal masks and their outcomes.
• It explores the role of advanced technologies like 3-D facial scanning and AI in mask selection and follow-up strategies.

Main Results:

• Observational data indicates nasal masks may be associated with superior objective and patient-reported outcomes in OSA patients.
• Emerging technologies, including 3-D scanning and AI, show promise for improving mask selection accuracy.
• Effective management of excessive mask leak, differentiating between mouth and mask leak, is crucial for adherence.

Conclusions:

• A patient-centered approach, informed by comparative data and new technologies, is essential for optimal CPAP mask selection in OSA.
• Addressing mask-related adverse effects and excessive leak through close follow-up and targeted strategies can enhance treatment adherence.
• Distinguishing and managing different types of air leaks can prevent unnecessary mask changes and improve overall CPAP therapy success.