Relationship between slow-wave sleep and serum gamma-glutamine transaminase in non-obese men with obstructive sleep apnea-hypopnea syndrome

作者全名："Pan, Qiyuan; Li, Hanqing; Gan, Xieyu; Chen, Xin; Liu, Xirui; Li, Jinfang"

作者地址："[Pan, Qiyuan; Gan, Xieyu; Chen, Xin; Liu, Xirui; Li, Jinfang] Chongqing Med Univ, Dept Neurol, Affiliated Hosp 2, Chongqing 400010, Peoples R China; [Li, Hanqing] First Peoples Hosp Zaoyang City, Dept Stomatol, Xiangyang 441200, Hubei, Peoples R China"

通信作者："Li, JF (通讯作者)，Chongqing Med Univ, Dept Neurol, Affiliated Hosp 2, Chongqing 400010, Peoples R China."

来源：SLEEP AND BREATHING

ESI学科分类：NEUROSCIENCE & BEHAVIOR

WOS号：WOS:000906295700001

JCR分区：Q2

影响因子：2.5

年份：2023

卷号：　

期号：　

开始页：　

结束页：　

文献类型：Article; Early Access

关键词：Obstructive sleep apnea-hypopnea syndrome; gamma-glutamyl transferase; Slow-wave sleep; Triglyceride-glucose index

摘要："Background:Obstructive sleep apnea-hypopnea syndrome (OSAHS) is a disease characterized with intermittent hypoxia and sleep fragmentation. Obesity and gender are major risk factors for the onset of OSAHS. Previous studies on obese men with OSAHS have been performed, while few studies on non-obese men with OSAHS have been carried out. The purpose of this study was to explore the clinical characteristics of polysomnography and blood biochemical indexes in non-obese men with OSAHS and to identify the possible influencing factors. Methods:This retrospective study included patients with OSAHS who underwent polysomnography in our hospital. General clinical data such as overnight polysomnography and biochemical indicators were recorded. The patients were divided into two groups according to the apnea-hypopnea index (AHI): mild to moderate OSAHS and severe OSAHS. The differences in biochemical parameters such as the levels of gamma-glutamine transaminase (GGT), triglyceride (TG), glucose (GLU), and sleep structure parameters such as N1, N2, slow-wave sleep (SWS), and rapid eye movement (REM) sleep were compared and analyzed. Spearman correlation analysis and logistic regression were used to identify the risk factors of non-obese men with OSAHS. ROC curves were used to evaluate the predictive ability of SWS and GGT on disease severity. Results:Of 94 non-obese men with OSAHS, 49 had mild to moderate OSAHS and 45 had severe OSAHS. Our data suggested that the levels of low oxygen saturation (L-SaO(2)), mean oxygen saturation (M-SaO(2)), SWS, and GGT were significantly changed in the mild to moderate OSAHS group compared with the severe group (p < 0.05). For patients with OSAHS, the proportion of SWS in the group with severe OSAHS was higher than that in the mild to moderate group (p < 0.05), and the serum GGT enzyme levels were significantly elevated in the severe group compared to the mild to moderate group (p < 0.05). Using logistic regression analyses, our data revealed that both SWS and GGT enzyme levels were independent risk factors for AHI (p < 0.05). In addition, the results of correlation analysis indicated that SWS was related to triglyceride (TG), total cholesterol (TC), apolipoprotein E (APOE), and triglyceride glucose (TyG) index (p < 0.05); GGT was related to TG, TC, APOE, and TyG index (p < 0.05). Furthermore, SWS was independently associated with GGT (p < 0.05). The area under the ROC curve plotted with the combined coefficient of SWS and serum GGT was 0.728, which was predictive of the disease severity. Conclusions:These results suggest that SWS and GGT are independent associated factors of the severity of the disease. However, TyG index was not an independent associated factor of the severity of disease in non-obese men with OSAHS. In addition, SWS and GGT were negatively correlated. SWS combined with serum GGT may be predictive of the severity of the disease. This study may have added to our understanding of the pathogenesis of OSAHS in non-obese men."

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