Abstract
Introduction Sleep-related hypoventilation may be important in the development of hypercapnic respiratory failure in obstructive sleep apnea syndrome (OSAS) particularly in obese group. Current available data on clinical significance of sleep-related hypoventilation is still lacking. Objective: To study the prevalence, clinical significance, and predictors of sleep-related hypoventilation among obese OSAS patients. Materials and methods Retrospective analysis of 221 patients diagnosed with OSAS. Sleep-related hypoventilation was defined as definite or possible using criteria as follows; an increase of >10 mmHg of end tidal CO2 during sleep in comparison to an awake supine value or low baseline asleep oxygen saturation ⩽85% not explained by apnea or hypopnea; respectively. No hypoventilation was defined if the patients did not meet above two criteria. We conducted two arms of analysis; study arm I compared the group with definite and possible hypoventilation against no hypoventilation group and study arm II compared the group with definite hypoventilation against possible hypoventilation and no hypoventilation groups. Results 35.75% and 31.22% exhibited sleep-related hypoventilation in study arm I and II, respectively. Sleep-related hypoventilation group in both study arms had more cardiovascular comorbidities and more severe sleep disordered breathing. Logistic regression analysis showed that BMI, total AHI, ESS, and morning headache (at least 3–4 times a week) were independent predictors of sleep-related hypoventilation in both study arms. Using regression co-efficient analysis, prediction scores using the above variables were derived to predict the likelihood of sleep-related hypoventilation at different sensitivity and specificity rates. Conclusion We established important clinical significance and predictors of sleep-related hypoventilation which can be utilized to predict the probability of having sleep-related hypoventilation with reasonable sensitivity and specificity. Acknowledgements We would like to thank Mr. Dittapol Muntham, a statistician. at the Section of Clinical Epidemiology and Biostatistics, Faculty of Medicine, Ramathibodi Hospital for additional statistical review.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.