Clinical observation of glucose metabolism disorders in elderly patients with obstructive sleep apnea disorder
10.3760/cma.j.issn.0254-9026.2013.05.009
- VernacularTitle:老年阻塞性睡眠呼吸暂停患者糖代谢紊乱的临床观察
- Author:
Qiang ZHANG
;
Wenyuan GAO
;
Weisan ZHANG
;
Jianli TIAN
;
Yun ZHANG
- Publication Type:Journal Article
- Keywords:
Sleep apnea,obstructive;
Glucose metabolism disorders
- From:
Chinese Journal of Geriatrics
2013;(5):493-495
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the correlation between obstructive sleep apnea hypoventilation syndrome (OSAHS)and glucose metabolism disorders in patients without diabetes mellitus.Methods A total of 88 patients with OSAHS but without diabetes mellitus from 2009 to 2011 in our hospital were selected and the pulse oximeter were used to measure the oxygen saturation.Patients were divided into 2 groups:the mild OSAHS group (n=46) and the severe OSAHS group (n=42).The age-and body mass index (BMI) matched control patients without OSAHS (control group,n =48) were randomly selected.The medical history,age,body height and BMI were recorded.The levels of fasting blood glucose,glycated hemoglobin (HbA1c),cholesterol,triglyceride and low density lipoprotein cholesterol were determined.Results There were significant differences in the numbers of respiratory disorders,respiratory disturbance index,average length of apnea,the longest apnea time,low-oxygen frequency,oxygen index,the time of oxygen saturation (SaO2) below 90％,minimum SaO2 and mean SaO2 between the OSAHS group and the control group (F=2.71,2.89,1.94,2.30,2.93,2.27,3.66,3.06,1.82,respectively,all P＜0.05).There were differences in the levels of fasting blood glucose,postprandial blood glucose,HbA1c,cholesterol,triglycerideand low density lipoprotein cholesterol between the three groups(F=1.81,1.85,2.16,1.77,2.24,2.19,respectively,all P＜0.05).Conclusions The severe degree of OSAHS has the correlation with the levels of glycated hemoglobin and blood glucose,which can provide a basis to observe the duration of diabetes mellitus and to predict the risk of cardiovascular diseases.
