Objective The study compares polysomnography (PSG) and cardiopulmonary coupling (CPC) sleep quality variables in patients with (1) obstructive sleep apnea (OSA) and (2) successful and unsuccessful continuous positive airway pressure (CPAP) response. Patients/methods PSGs from 50 subjects (32 F/18 M; mean age 48.4±12.29 years; BMI 34.28±9.33) were evaluated. OSA patients were grouped by no (n=16), mild (n=13), and moderate to severe (n=20) OSA (apnea-hypopnea index (AHI)≤5, >5-15, >15 events/h, respectively). Outcome sleep quality variables were sleep stages in non-rapid eye movement, rapid eye movement sleep, and high (HFC), low (LFC), very low-frequency coupling (VLFC), and elevated LFC broad band (e-LFCBB). An AHI≤5 events/h and HFC≥ 50 % indicated a successful CPAP response. CPC analysis extracts heart rate variability and QRS amplitude change that corresponds to respiration. CPC-generated spectrograms represent sleep dynamics from calculated coherence product and cross-power of both time series datasets. Results: T tests differentiated no and moderate to severe OSA groups by REM % (p=0.003), HFC (p=0.007), VLFC (p=0.007), and LFC/HFC ratio (p=0.038) variables. The successful CPAP therapy group (n=16) had more HFC (p=0.003), less LFC (p=0.003), and e-LFCBB (p=0.029) compared to the unsuccessful CPAP therapy group (n=8). PSG sleep quality measures, except the higher arousal index (p=0.038) in the unsuccessful CPAP group, did not differ between the successful and unsuccessful CPAP groups. HFC≥50 % showed high sensitivity (77.8 %) and specificity (88.9 %) in identifying successful CPAP therapy. Conclusion:s PSG and CPC measures differentiated no from moderate to severe OSA groups and HFC≥50 % discriminated successful from unsuccessful CPAP therapy. The HFC≥50 % cutoff showed clinical value in identifying sleep quality disturbance among CPAP users.
- Cardiopulmonary coupling
- Continuous positive airway pressure
- Sleep apnea
ASJC Scopus subject areas
- Clinical Neurology