Serum copper and zinc status in obstructive sleep apnea patients

2006-09-01
Akyüz, Ahmet Oğuz
Pelin, Z.
Ozogur, S.
Ercan, O.
Obstructive Sleep Apnea Syndrome (OSAS) is a chronic disease characterized by oxygen desaturation and awakens follow from repetitive apnea and hipopnea during the night. It is thought that diversity of oxygen levels during night in OSAS cause oxidative stress with the increment of the free radical production. In this study, serum levels of copper (Cu) and zinc (Zn), two of the most important elements of antioxidant defense mechanism, were investigated. Patients to be participated into the study were divided into 4 groups according to the result of polysomnography test. Levels of serum Cu and Zn are measured by using flame atomic absorption spectrophotometry equipment. Glucose, blood lipid profile (HDL, LDL, trigliserid, total cholestrol), urea and creatinine were taken into account in all patients. Serum Cu levels were similar with OSAS patients (mild OSAS: I09±37 jug/dL; moderate OSAS: 93±20 jug/dL; severe OSAS: 97±14 jug/dL) and healthy controls (99±37 jug/dL, p>0.05). Serum Zn levels were significantly low in OSAS patients, especially in severe OSAS (mild OSAS: 79±9 pig/dL; moderate OSAS: 79±12 pig/dL; severe OSAS: 74±18 jug/dL) when compared to controls (88±12 pig/dL, p<0.05). These results suggest that patients with severe OSAS are under considerable oxidative stress. Supporting OSAS patients with Zn would be beneficial to decrease oxidative stress and its effects.

Suggestions

Leveraging Multimodal and Feature Selection Approaches to Improve Sleep Apnea Classification Performance
Memiş, Gökhan; Sert, Mustafa; Yazıcı, Adnan (2017-05-15)
Obstructive sleep apnea (OSA) is a sleep disorder with long-term adverse effects such as cardiovascular diseases. However, clinical methods, such as polisomnograms, have high monitoring costs due to long waiting times and hence efficient computer-based methods are needed for diagnosing OSA. In this study, we propose a method based on feature selection of fused oxygen saturation and electrocardiogram signals for OSA classification. Specifically, we use Relieff feature selection algorithm to obtain robust fea...
Detection of post apnea sounds and apnea periods from sleep sounds
Karcı, Ersin; Serinağaoğlu Doğrusöz, Yeşim; Çiloğlu, Tolga; Department of Electrical and Electronics Engineering (2011)
Obstructive Sleep Apnea Syndrome (OSAS) is defined as a sleep related breathing disorder that causes the body to stop breathing for about 10 seconds and mostly ends with a loud sound due to the opening of the airway. OSAS is traditionally diagnosed using polysomnography, which requires a whole night stay at the sleep laboratory of a hospital, with multiple electrodes attached to the patient's body. Snoring is a symptom which may indicate presence of OSAS; thus investigation of snoring sounds, which can be r...
Detection of Post Apnea Sounds and Apnea Periods from Sleep Sounds
Karci, Ersin; Serinağaoğlu Doğrusöz, Yeşim; Çiloğlu, Tolga (2011-09-03)
Obstructive Sleep Apnea Syndrome (OSAS) is defined as a sleep related breathing disorder that causes the body to stop breathing for about 10 seconds and mostly ends with a loud sound due to the opening of the airway. OSAS is traditionally diagnosed using polysomnography, which requires a whole night stay at the sleep laboratory of a hospital, with multiple electrodes attached to the patient's body. Snoring is a symptom which may indicate the presence of OSAS; thus investigation of snoring sounds, which can ...
Portable obstructive sleep apnea detection and mobile monitoring
Cakmak, Duygu Demirkol; Eyüboğlu, Behçet Murat (2017-04-10)
Obstructive sleep apnea syndrome is becoming a prevalent disease for both adults and children. It is described as the cessation of breath for at least 10 seconds during sleep. Detecting sleep apnea is considered as a troublesome and time-consuming method, which requires the patients to stay one or more nights in dedicated sleep disorder rooms with sensors physically attached to their body. Undiagnosed thereby untreated sleep apnea patients are under high risk of hypertension, heart attack, traffic accident ...
Mobile sleep apnea detection and monitoring based on thermocouple and pulse oximeter sensors
Demirkol Çakmak, Duygu; Eyüboğlu, Behçet Murat; Department of Electrical and Electronics Engineering (2018)
Sleep apnea syndrome is becoming a prevalent disease for both adults and children. It is described as the cessation of breath for at least 10 seconds during sleep. Detecting sleep apnea is considered as a troublesome and time-consuming method, which requires the patients to stay one or more nights in dedicated sleep disorder rooms with sensors physically attached to their body. Undiagnosed, thereby untreated, sleep apnea patients are under high risk of hypertension, heart attack, accidental injuries through...
Citation Formats
A. O. Akyüz, Z. Pelin, S. Ozogur, and O. Ercan, “Serum copper and zinc status in obstructive sleep apnea patients,” 2006, vol. 15, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55353.