TR-Dizin Açık Erişimli Yayınlar

Permanent URI for this collectionhttps://hdl.handle.net/11727/10759

Browse

Filters

2016 - 20172

Settings

Has files: YesSubject: search.filters.subject.Obstructive sleep apnea

Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    The relationship between clinical and laboratory findings and duration of sleep where oxygen saturation remains below 90-95% in obstructive sleep apnea
    (2016) Avci, Suat; Avci, Aynur Yilmaz; Yagbasan, Berna Devrim; Gunizi, Huseyin
    Objective: The aim of the present study was to determine correlations between CT90 and CT95 values and physical examination parameters, chronic metabolic diseases, smoking, mean platelet volume, cerebral magnetic resonance imaging (MRI), presence and number of hyperintense foci in obstructive sleep apnea (OSA). Methods: A total of 1154 patients who underwent polysomnography in our sleep laboratory between 2011 and 2014 were screened retrospectively. Among them, 72 cases who underwent ear, nose and throat examinations, cerebral MR, CBC and biochemical tests were included in the study. All patients underwent a detailed anamnesis together with (1) measurements of BMI (body mass index) (2) circumferences of neck and abdomen, (3) examination of oropharynx, (4) Muller maneuver with the aid of fiberoptic endoscope, (5) estimation of Epworth sleep scale scores, (6) and polysomnographic (PSG) tests. Results: According to the severity of OSA, the patients had simple snoring (22.2%), mild (19.4%) and severe OSA (38.9%). In multivariate regression analysis, body mass index (BMI) (p=0.026) and apnea/hypopnea index (AHI) (p=0.013) were seen as independent variables affecting CT90 (R-2=49%). Multivariate linear regression analysis demonstrated that independent variables of smoking (p=0.001), AHI (p=0.003) and number of hyperintense foci (p=0.013) affected CT95 (R-2=%47.9), while relationships between diabetes, BMI and CT95 were not statistically significant. Conclusion: Since CT95 values are affected by smoking without any statistically significant correlation with retropalatal and retroglossal Muller stages, we think that consideration of CT90 value will be more appropriate in the evaluation of the severity of chronic intermittent hypoxia in patients with obstructive sleep apnea. However, the correlation between CT90 value and AHI is closer to the value indicated in the literature, but not stronger.
  • Thumbnail Image
    Item
    Results of Polysomnographies and Treatment Strategies in Elderly Patients with Symptoms of Obstructive Sleep Apnea Syndrome
    (2017) Ugurlu, Aylin Ozsancak; Balcan, Baran; 0000-0003-3598-3986; 29404173; A-4721-2018; AAA-2925-2020
    OBJECTIVES: In this study, we evaluated data regarding the management of geriatric patients with symptoms of obstructive sleep apnea syndrome (age, >65 years) who were admitted to our sleep clinic. MATERIAL AND METHODS: Symptoms and sleep data of the patients were retrospectively evaluated, and the patients were reevaluated after treatment. RESULTS: A total of 85 patients with a median age of 69 years were included. Snoring and fatigue were the most common symptoms. Cardiovascular diseases were the most frequently listed comorbidity. The median Epworth sleepiness scale was 10, and based on Berlin sleep questionnaire findings, 63.5% of the participants were in the high-risk group. Eighty-seven percent were diagnosed with obstructive sleep apnea (2/3 of them were positional), and moderate-to-severe obstructive sleep apnea was observed more in women than in men. Only one patient was diagnosed with central sleep apnea. There were positive and linear correlations between increased age and the apnea-hypopnea index, arousal index, Epworth sleepiness scale, and being in a high-risk group according to the Berlin sleep scale; however, there was no correlation between increased age and the number of hypopnea and apnea events. There were also positive and linear correlations between the apnea-hypopnea index and the Epworth sleepiness scale, being in a high-risk group according to the Berlin sleep questionnaire, an increased number of known medical conditions, and increased body mass index. We were able to contact 72 of the 85 patients via phone calls. Patients who adjusted to treatment had positive feedbacks. CONCLUSION: Sleep disorders are observed more in the elderly, and an increasing age is an independent factor for sleep disorders. Besides the usual signs and symptoms of sleep disorders, it should be considered in elderly who have cognitive dysfunction and dementia.