Sleep & breathing = Schlaf & Atmung
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Observational Study
Utility of extended cardiac monitoring to detect atrial fibrillation in patients with severe obstructive sleep apnea.
The relationship between obstructive sleep apnea (OSA) and increased risk for atrial fibrillation (AF) has been well established in previous studies. The relationship between OSA and silent AF is unknown. We hypothesized that patients with OSA but no known history of AF are at an increased risk for the arrhythmia and may be detectable by prolonged electrocardiogram (ECG) monitoring. In this study, we examined whether 7 days of extended cardiac monitoring with an ECG event recorder is an effective screening tool to detect intermittent, silent AF in patients with severe OSA. ⋯ In patients with severe OSA without a known history of AF, 7 days of extended cardiac monitoring with an ECG event recorder did not detect clinically meaningful, silent AF.
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Electronic noses represent a technique for the measurement of exhaled breath volatile compound pattern which can discriminate patients with obstructive sleep apnoea (OSA) from control subjects. Although overnight changes in circulating biomarkers were reported, this effect on the exhaled volatile compound pattern has not been studied before. We aimed to compare breath patterns in the evening and in the morning in patients with OSA and to study the ability of the electronic nose to distinguish patients from controls based on these exhaled volatile patterns. ⋯ Evening and morning exhaled volatile compound patterns are different in OSA. This might affect the ability of electronic noses to identify this disorder. Overnight alterations in volatile substances need to be taken into account during exhaled breath measurements in OSA.
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Scientific research in obstructive sleep apnea syndrome: bibliometric analysis in SCOPUS, 1991-2012.
The research in obstructive sleep apnea (OSA) may be beneficial from the collaboration between countries and researchers. In this study, we aimed to analyze the scientific research on OSA from 1991 to 2012 and to evaluate the collaboration networks between countries. ⋯ Scientific production on OSA is increasing with limited international collaboration. The country with the greatest production in this period (1991-2012) was the USA, which concentrated the international collaboration network on OSA. We recommended that articles should be produced with international collaboration to improve the quantity of scientific publications and their chances of publication in high impact journals.
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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.