Factors related to sleep apnea syndrome in sleep clinic patients

ArticleinChest 105(6):1753-8 · July 1994with5 Reads
Impact Factor: 7.48 · DOI: 10.1378/chest.105.6.1753 · Source: PubMed
Abstract

We examined 129 patients recruited from two sleep clinics to study the sleep apnea syndrome (SAS), defined by the apnea-hypopnea index (AHI) > or = 10. Information was registered from a self-administered questionnaire, basal physical measurements, and polysomnography. In 68 subjects recorded for two consecutive nights, a high correlation was found between first- and second-night AHIs (r = 0.89). Habitual loud snoring and breathing arrests during sleep were associated with AHI > or = 10. A model including these two variables, sex, age, and body mass index was created in order to predict AHI > or = 10 and with which it was possible to successfully classify almost three of four patients. Among subjective sleep questionnaire items, only daytime sleepiness was related to drops of transcutaneous oxygen tension. These discrepancies in the observed relationship between sleep parameters and subjective sleep items reduce the questionnaire value in epidemiologic settings where it aimed to detect SAS, as defined solely by the AHI value.

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    • "Although BQ seems to be a valid tool to detect OSA in the general population, in the clinical sleep setting the literature is inconsistent. Supporting the use of the BQ, some studies reported that BQ can serve as a valid and useful screening method to detect OSA in the clinical sleep setting (Amra et al., 2013; Dealberto et al., 1994) and in general populations (Kang et al., 2013; Saleh et al., 2011). On the other hand, Ahmadi and colleagues compared the BQ to the Respiratory Disturbance Index (RDI) values measured by polysomnography (PSG). "
    Full-text · Article · Feb 2016
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    • "Although BQ seems to be a valid tool to detect OSA in the general population, in the clinical sleep setting the literature is inconsistent. Supporting the use of the BQ, some studies reported that BQ can serve as a valid and useful screening method to detect OSA in the clinical sleep setting (Amra et al., 2013; Dealberto et al., 1994) and in general populations (Kang et al., 2013; Saleh et al., 2011). On the other hand, Ahmadi and colleagues compared the BQ to the Respiratory Disturbance Index (RDI) values measured by polysomnography (PSG). "
    [Show abstract] [Hide abstract] ABSTRACT: Introduction: The Berlin questionnaire (BQ) is a common tool to screen for Obstructive Sleep Apnea (OSA) in the general population, but its application in the clinical sleep setting is still challenging. The aim of this study was to determine the specificity and sensitivity of the BQ compared to the apnea-hypopnea index obtained from polysomnography recordings obtained from a sleep clinic in Iran. Methods: We recruited 100 patients who were referred to the Sleep Disorders Research Center of Kermanshah University of Medical Sciences for the evaluation of suspected sleep-disorder breathing difficulties. Patients completed a Persian version of BQ and underwent one night of PSG. For each patient, Apnea-Hypopnea Index (AHI) was calculated to assess the diagnosis and severity of OSA. Severity of OSA was categorized as mild when AHI was between 5 and 15, moderate when it was between 15 and 30, and severe when it was more than 30. Results: BQ results categorized 65% of our patients as high risk and 35% as low risk for OSA. The sensitivity and the specificity of BQ for OSA diagnosis with AHI>5 were 77.3% and 23.1%, respectively. Positive predictive value was 68.0% and negative predictive value was 22.0%. Moreover, the area under curve was 0.53 (95% CI: 0.49-0.67, P=0.38). Discussion: Our findings suggested that BQ, despite its advantages in the general population, is not a precise tool to determine the risk of sleep apnea in the clinical setting, particularly in the sleep clinic population.
    Full-text · Article · Jan 2016 · Basic and Clinical Neuroscience
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    • "Authors believe these changes in the sleep of older adult may be due to alterations in the quality of transmission of afferent information from the retina to the optic central markers (Suprachiasmatic nucleus), which lose their ability to respond to information, changing the sleep–wake cycle, as well as environmental, behavioral, social and physical changes [12,13,6]. Among sleep disorders, obstructive sleep apnea syndrome (SAOS) is very common among the older adult [14,15]. SAOS occurs when there is a repeated obstruction of the upper airway during sleep for 10 s or more, accompanied by oxyhemoglobin desaturation, causing micro-arousals and awakenings . "
    [Show abstract] [Hide abstract] ABSTRACT: Background and aims: Aging is a multifactorial process that elicits changes in the duration and quality of sleep. Polysomnography is considered to be the standard examination for the analysis of sleep and consists of the simultaneous recording of selected physiological variables during sleep. Objective: The objective of this study was to use polysomnography to compare sleep reported by senior citizens. Methods: We selected 40 patients, both male and female, with ages ranging from 64 to 89 years from the Center for the Study of Aging at the Federal University of São Paulo. Patients answered questions about sleep on the Comprehensive Geriatric Assessment and underwent polysomnography. Results Q2 : The results were compared, and agreement between perceived sleep and poly-somnography was found in several areas. There was an association between difficulty sleeping and sleep onset latency (p ¼ 0.015), waking up at night with sleep onset latency (p ¼0.005), total sleep time with daytime sleepiness (0.005) and snoring (0.027), sleep efficiency with sleepiness (0.004), snoring (0.033) and pause in breathing (p ¼0.024), awakenings with snoring (p ¼0.012) and sleep apnea with pauses in breathing (p =0.001). Conclusion: These results suggest that the older adult population have a good perception of their sleep. The questionnaires aimed at this population should be used as an alternative to polysomnography.
    Full-text · Article · Jul 2015 · Sleep Science
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