Purpose: To develop equations to predict therapeutic continuous positive airway pressure (CPAP) based on home-based CPAP titration, including the type of interface used.
Method: Retrospective study conducted in adult patients with obstructive sleep apnea (OSA) who used home-based autoCPAP titration (AutoSet S10, ResMed). CPAP was obtained manually through a visual analysis of autoCPAP data (CPAP) and automatically using the 95th percentile pressure (CPAP). Multiple linear regression and K-fold cross-validation were applied. Independent variables were AHI, neck circumference (NC), BMI, and mask. Two formulas were generated based on mask and the Miljeteig and Hoffstein formula.
Results: We included 702 patients (174 women), median age, BMI and AHI of 58 years, 32 kg/m and 32 ev/h, respectively. Predictors for CPAP (M1) were BMI, NC, AHI and type of interface (R: 0.19); and for CPAP (M2), BMI, AHI and mask (R: 0.09). Error and precision between the formulas and CPAP were: 0 (CPAP/CPAP), and - 3.2 to 3.2 (CPAP) and - 4 to 4 cm HO (CPAP). CPAP was higher with oronasal mask (10 vs. 9 cm HO, p < 0.01). Accuracy defined as; a difference ± 2 cm HO between estimated CPAP and CPAP was greater in M1 than in M2 (79% vs. 64%, p < 0.01).
Conclusion: In both models, calculated error was close to zero. CPAP (± 3.2 cm HO) showed more precision than CPAP (± 4 cm HO). With M1 (CPAP), 79% of patients could start CPAP with reasonable accuracy (error of ± 2 cm HO).
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http://dx.doi.org/10.1007/s11325-024-03104-2 | DOI Listing |
Clin Respir J
December 2024
Department of Sleep Medicine, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Purpose: Positive airway pressure (PAP) is the primary treatment for obstructive sleep apnea (OSA). This study aims to predict the optimal PAP pressure in Chinese OSA patients by their polysomnography (PSG) variables and demographic characteristics.
Methods: Patients with an apnea-hypopnea index (AHI) ≥ 15 times/h who received PAP therapy (residual AHI < 5 times/h) and underwent PSG were included in this study.
Cureus
November 2024
College of Medicine, Hawler Medical University, Erbil, IRQ.
Background Obstructive sleep apnea (OSA) is a common sleep disorder that's characterized by episodes of a complete or partial collapse of the upper airway with an associated decrease in oxygen saturation or arousal from sleep. According to the American Academy of Sleep Medicine (AASM), OSA is categorized based on polysomnography findings into mild, moderate, and severe. Objectives This study aims at determining the prevalence of the severities of OSA in Erbil, Kurdistan Region of Iraq, as well as discovering the predictors for severe OSA.
View Article and Find Full Text PDFJ Clin Med
November 2024
Karl Landsteiner Institute of Lung Research and Pulmonary Oncology, Clinic Floridsdorf, 1210 Vienna, Austria.
Impairment in autonomic activity is a prognostic marker in patients with heart failure (HF), and its involvement has been suggested in cardiovascular complications of obstructive sleep apnea syndrome (OSAS) and Cheyne-Stokes respiration (CSR). This prospective observational study aims to investigate the implications of sleep-disordered breathing (SDB) on hemodynamic regulation and autonomic activity in chronic HF patients. Chronic HF patients, providing confirmation of reduced ejection fraction (≤35%), underwent polysomnography, real-time hemodynamic, heart rate variability (HRV), and baroreceptor reflex sensitivity (BRS) assessments using the Task Force Monitor.
View Article and Find Full Text PDFClin Exp Nephrol
December 2024
Nakamura Clinic, Urasoe, Okinawa, Japan.
Background And Hypothesis: We observed lower risk of all-cause mortally among continuous positive airway pressure (CPAP) users compared to those non-users using a large polysomnography (PSG) registry. However, the effect of CPAP on mortality risk has not been examined in dialysis patents.
Methods: We studied 9841 patients with PSG performed from September 1990 to 2010 in Nakamura clinic, Okinawa.
Otolaryngol Head Neck Surg
December 2024
Department of Otorhinolaryngology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
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