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.