Sleep & breathing = Schlaf & Atmung
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Obstructive sleep apnoea (OSA) is defined as episodes of obstructive apnoeas and hypopnoeas during sleep with daytime somnolence. The gold standard in diagnostic tool patients with these symptoms is polisomnography. The goals of this study were to determine the frequency of OSA symptoms and the prevalence of OSA in patients undergoing operation. ⋯ High percentage of OSA focus attention on anaesthesiology concerns of OSA. The exact management of each sleep apnoea patient with regard to intubation, extubation and pain control requires judgement and is a function of many anaesthesia, medical and surgical considerations. Therefore, we suggest that all patients should be asked for OSA symptoms, and patients with two major OSA symptoms must be evaluated with polisomnography.
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Multicenter Study
Follow-up assessment of CPAP efficacy in patients with obstructive sleep apnea using an ambulatory device based on peripheral arterial tonometry.
This study aimed to assess the accuracy of a wrist-worn device based on peripheral arterial tonometry (Watch_PAT 100) to detect residual episodes of respiratory disturbance during continuous positive airway pressure (CPAP) therapy. Concurrent polysomnography was used as the reference standard to identify sleep disordered breathing (SDB) events. The study was conducted in three sleep laboratories affiliated with tertiary care academic medical centers. ⋯ C was three (2SD 14.5) events per hour. Therefore, residual moderate-severe SDB on CPAP was not uncommon in a multicenter population self-reporting adherence to CPAP therapy to treat obstructive sleep apnea. The Watch_PAT device accurately identified participants with moderate-severe SDB while using CPAP in the attended setting of a sleep laboratory.
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The objective of this prospective observational clinical study is to derive and validate a diagnostic model for prediction of obstructive sleep apnea (OSA) in subjects presenting with non-sleep-related complaints in a tertiary care center in north India. We included 102 subjects (group I, range 31-70 years) presenting to the hospital with non-sleep-related complaints. None of the subjects had any significant comorbid illness such as respiratory or congestive cardiac failure. ⋯ Sensitivity, specificity, PPV, and NPV of the model for predicting OSA in this group were 82, 90.7, 89.1, and 84.5%, respectively. BMI, male gender, SI, and ChI are independent predictors of OSA. Diagnostic model derived from these parameters is useful for predicting presence of OSA and screening subjects for PSG.
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Approximate entropy (ApEn) is a technique that can be used to quantify the irregularity or variability of time series. We prospectively evaluated the validity of ApEn of heart rate data obtained from pulse oximetric recordings as a diagnostic test for obstructive sleep apnea (OSA) in patients clinically suspected of suffering this disease. A sample of 187 referred outpatients (147 men and 40 women), with a mean age of 57.9+/-12.8 years and a body mass index of 29.5+/-5.5 kg/m(2), clinically suspected of having OSA were studied using nocturnal pulse oximetric recording performed simultaneously with complete polysomnography. ⋯ No significant changes were observed in ApEn throughout the night in OSA patients. Using receiver operating characteristic curve analysis, we obtained a diagnostic sensitivity of 71.2%, specificity of 78.9%, positive predictive value of 81.3%, and negative predictive value of 66% at a threshold of 1.272. We conclude that ApEn analysis of heart rate data obtained from pulse oximetric recordings could be a useful tool in the study of OSA.
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Sleep complaints are very common among the general population and are usually accompanied by significant medical, psychological and social disturbances (Redline S, Strohl K, Otolaryngol Clin North Am, 132:303, 1999). A higher prevalence of sleep complaints has been described in the elderly (Vgontzas AN, Kales A, Annu Rev Med, 50:387-400, 1999). It is manifested by breathing disturbances during sleep, loud snoring, difficulties maintaining sleep, fatigue, daytime sleepiness, mood effects and impairment of daily activities (Lugaresi E, Cirignotta F, Zucconi M et al., Good and poor sleepers: an epidemiological survey of the San Marino population, Raven, New York, pp 1-12, 1983; Kales A, Soldatos CR, Kales JD, Am Fam Physician, 22:101-108, 1980). ⋯ The mean body mass index was 25 kg/cm(2); mean Epworth Sleepiness Scale score was 8. Thirty-four per cent met high-risk criteria for sleep apnea, 53% for insomnia, 13% for symptoms suggestive of narcolepsy and 13% for those suggestive of restless leg syndrome. There were high incidences of alcohol consumption (37.6%), diabetes (32.7%), hypercholesterolemia (31.8%), depression (31.8%), hypertension (39.6%) and post-traumatic stress disorder (PTSD) (9.8%).