Sleep & breathing = Schlaf & Atmung
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Conventional therapies for obstructive sleep apnea (OSA) are effective but suffer from poor patient adherence and may not fully alleviate major OSA-associated cardiovascular risk factors or improve certain aspects of quality of life. Predicting the onset of disordered breathing events in OSA patients may lead to improved strategies for treating OSA and inform our understanding of underlying disease mechanisms. In this work, we describe a deployable system capable of performing real-time predictions of sleep disordered breathing events in patients diagnosed with OSA, providing a novel approach for gaining insight into OSA pathophysiology, discovering population subgroups, and improving therapies. ⋯ We report the first practical system to predict individual disordered breathing events in a heterogeneous group of patients diagnosed with OSA. The pattern of disordered breathing predictors suggests variable underlying pathophysiological mechanisms and highlights the need for an individualized approach to OSA diagnosis, therapy, and management.
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Congenital central hypoventilation syndrome (CCHS) is a rare lifelong disorder characterized by an abnormal ventilatory response with persistent hypercapnia and hypoxia, which worsen during sleep. About 90 % of CCHS individuals are heterozygous for a mutation in the exon 3 of the PHOX2B gene. With higher awareness and better diagnostic tools, cases are identified in late childhood and adulthood, often with distinct mutations. ⋯ A greater awareness is required to diagnose late-onset CCHS. A respiratory infection can trigger the disease, with a significant difference in CO2 between sleep and wakefulness as the warning signal. Given the clinical suspicion, a genetic study should be performed. Polysomnography is essential for patient characterization. Follow-up and ventilator support adjustment prevent serious hypoxia and hypercapnia, which impair cardiovascular and neurocognitive functions. This patient's mutation has not been previously described; hence, clinical evolution cannot be predicted.
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Obstructive sleep apnoea is recognised as a common but under-diagnosed health issue. Currently, there is very little published data relating to the burden and impact of obstructive sleep apnoea among indigenous populations. The purpose of this review was to investigate the prevalence, impact, risk factors and treatment of obstructive sleep apnoea in indigenous populations in high-income countries. ⋯ Indigenous populations in high-income countries are subject to an overall greater prevalence of obstructive sleep apnoea that is also more severe. A higher prevalence of obesity, alcohol and tobacco use and comorbid medical conditions associated with low socioeconomic status rather than indigenous status per se appears to explain this disparity.
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Comparative Study
Critical evaluation of screening questionnaires for obstructive sleep apnea in patients undergoing coronary artery bypass grafting and abdominal surgery.
Obstructive sleep apnea (OSA) is an independent risk factor for complications after surgery. However, OSA remains largely under recognized, and questionnaires designed to detect OSA have shown inconsistent results. Patients with cardiovascular diseases may not present with the typical symptoms of OSA. We therefore sought to compare the performance of screening questionnaires of patients referred for coronary artery bypass grafting (CABG) versus abdominal surgery (Abd surgery). ⋯ Presenting clinical characteristics of OSA are modulated by the population evaluated and may affect the performance of screening questionnaires.
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Obstructive sleep apnea hypopnea syndrome (OSAHS) is an independent risk factor for development of hypertension. Epidemiological surveys have found that risk of cardiovascular diseases increased in postmenopausal women. However, it is not well known about the profiles of hypertension of women with OSAHS in their different reproductive stages. This study aimed to investigate the difference of blood pressure profile between pre and postmenopausal women with OSAHS. ⋯ Blood pressure profile of postmenopausal women with OSAHS was affected by both BMI and AHI. But those of premenopausal ones were predominantly related to BMI.