An electrocardiogram-based analysis evaluating sleep quality in patients with obstructive sleep apnea

Area of Science:

• Sleep Medicine
• Cardiology
• Pulmonology

Background:

• Obstructive sleep apnea (OSA) significantly impacts sleep quality and cardiovascular health.
• Continuous positive airway pressure (CPAP) is a primary treatment for OSA, but treatment response varies.
• Assessing sleep quality and CPAP efficacy requires reliable objective measures.

Purpose of the Study:

• To compare sleep quality variables between polysomnography (PSG) and cardiopulmonary coupling (CPC) in OSA patients.
• To evaluate CPC's ability to differentiate OSA severity.
• To determine CPC's utility in identifying successful versus unsuccessful CPAP therapy response.

Main Methods:

• Fifty OSA patients underwent polysomnography (PSG).
• Patients were categorized by OSA severity (apnea-hypopnea index: AHI ≤ 5, >5-15, >15 events/h).
• Sleep quality variables analyzed included sleep stages, and CPC-derived metrics (high, low, very low-frequency coupling).

Main Results:

• PSG and CPC measures differentiated between no OSA and moderate-to-severe OSA groups.
• Successful CPAP therapy (AHI ≤ 5, HFC ≥ 50%) was associated with higher HFC and lower LFC compared to unsuccessful therapy.
• A high-frequency coupling (HFC) cutoff of ≥ 50% demonstrated high sensitivity (77.8%) and specificity (88.9%) for identifying successful CPAP therapy.

Conclusions:

• Cardiopulmonary coupling (CPC) measures effectively distinguish between different severities of obstructive sleep apnea (OSA).
• The HFC ≥ 50% metric shows significant clinical value in identifying successful CPAP therapy response.
• CPC analysis provides a valuable tool for assessing sleep quality and treatment outcomes in OSA patients.