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Background: Continuous positive airway pressure (CPAP) is the treatment of obstructive sleep apnea (OSA). The CPAP pressure is generally estimated by manual titration or an auto-CPAP device. An alternative method involves the use of the predictive equation. There is limited study available for the Indian population. Objectives: To compare CPAP pressure obtained by mathematical formulas with auto-CPAP titration and formulation, a preliminary predictive equation from derived data to be validated with titrated CPAP. Methods and materials: A retrospective observational study was performed in 130 patients in Department of Pulmonary Medicine of our institute from April 2019 to July 2021. Detailed history, anthropometric parameters, whole-night level-II polysomnography (PSG), and CPAP titration were performed. Stepwise linear regression was applied to establish predictive equation. This equation results were compared with available other equations and autotitrated readings. Results: The mean (SD) of age, BMI, neck girth, Epworth score, lowest SPO2 (%), and AHI was 56.72 (11.31), 33.87 (6.43), 39.7 (4.46), 17.75 (3.18), 84.65 (8.44), and 48.75 (21.09), respectively, with male杅emale ratio of 3:2. Mild, moderate, and severe OSA were 7 (5.4%), 18 (13.8%), and 105 (80.8%), respectively. Continuous positive airway pressure obtained from equations was in the range of 7.40�.95 cm H2O. Obtained readings by equations showed a comparable correlation with CPAP-titrated results (p <0.001). Conclusion: The optimum titration pressure correlates with pressure derived from the predictive equation that is predicted average therapeutic CPAP pressure = 3.98 + 0.065 (ODI) + (AHI) + 0.018 (nadir SPO2) - 0.013 (NC).
RESUMO
[ABSTRACT]OBJECTIVETo assess the sleep body position's effects on AHI and ODI during sleep in obstructive sleep apnea hypopnea syndrome (OSAHS) patients with different severity.METHODSThe clinical data of 113 subjects who had been diagnosed OSAHS or normal by polysomnography (PSG) between 2013 and 2014 in our department were retrospectively studied. They were divided into normal control group (AHI30/h, 40 patients). PSG data of AHI and ODI in different body position in each group were further analyzed.RESULTSIn normal group, The AHI and ODI in supine position were significantly higher than that in the left or right lateral position, and the difference between the left and right lateral position was not significant. In the mild to moderate OSAHS group, the AHI and ODI in supine were higher than that in the left lateral position slightly, while the data in supine was higher than that in the right lateral position significantly. In the severe group, the data between the supine and the left lateral position was not statistically different, while the supine position data was higher compared with that of the right lateral position. CONCLUSIONAHI and ODI were higher in supine position than that in lateral position, while the AHI and ODI in right lateral position is higher than that in left lateral position in OSAHS patients with different severity. The ODI and AHI are consistent in reflecting the severity of the OSAHS.