高血压是我国重点防治的心血管疾病, 血压的控制率备受关注。在一些血压控制不良的患者中睡眠呼吸暂停是导致顽固性高血压的重要原因。以睡眠过程中反复、频繁出现呼吸暂停和低通气为特点的睡眠呼吸暂停低通气综合征( sleep apneahypopnea syndrome, SAHS) 自20 世纪80 年代以来也受到广泛关注, 临床和基础研究取得了迅速发展。目前, 多项临床、流行病学和基础研究证实SAHS可以导致和/ 或加重高血压, 与高血压的发生发展密切相关。
目的 总结多导睡眠监测的监测方法及护理要点。 方法 2010年3月－2011年3月采用美国伟康多导睡眠呼吸监测仪对睡眠中心78例患者进行不少于7 h的整夜连续监测和护理。 结果 76例患者顺利完成监测，确诊阻塞性睡眠呼吸暂停低通气综合征73例（重度17例，中度31例，轻度25例），单纯鼾症3例。1例因环境陌生、导联多无法入睡而监测失败，另1例因鼻气流导管脱落而监测失败。 结论 对症有效的护理方法是多导睡眠监测得以顺利完成的根本保证。
Objective To investigate the changes and clinical relationship of plasma adrenomedullin( ADM) , atrial natriuretic polypeptide( ANP) , and heart rate variability( HRV) in patients with obstructive sleep apnea-hypopnea syndrome ( OSAHS) . Methods Seventy-five inpatients with OSAHS were enrolled in this study. According to the apnea hypopnea index ( AHI) by polysomnography, the subjects were divided into a mild group, a moderate group, and a severe group. Meanwhile, HRV was screened bydynamic electrocardiogram in sleep laboratory. HRV parameters were obtained including LF ( low frequency power) , HF( high frequency power) , pNN50( percentage of NN50 in the total number of N-N intervals) ,SDNN( standard deviation of the N-N intervals) , rMSSD( square root of the mean squared differences of successive N-N intervals ) . Plasma levels of ADM/ANP were measured by radioimmunoassay. Results The levels of SDNN ( P lt;0. 05) , rMSSD, pNN50, LF ( P lt; 0. 05) and HF were gradually reduced, and the levels of ADM ( P lt;0. 05) and ANP ( P lt; 0. 05) were increased with increasing severity of OSAHS. Linear correlation analysis demonstrated that SDNN was negatively correlated with ADM( r = - 0. 423, P lt;0. 05)and ANP( r = - 0. 452, P lt; 0. 05) , and LF was also negatively correlated with ADM( r = - 0. 348, P lt;0. 05) . Conclusion Lower HRV is associated with more sever OSAHS, and it may be modulated neurohumorally by ADM and ANP.
Sleep apnea causes cardiac arrest, sleep rhythm disorders, nocturnal hypoxia and abnormal blood pressure fluctuations in patients, which eventually lead to nocturnal target organ damage in hypertensive patients. The incidence of obstructive sleep apnea hypopnea syndrome (OSAHS) is extremely high, which seriously affects the physical and mental health of patients. This study attempts to extract features associated with OSAHS from 24-hour ambulatory blood pressure data and identify OSAHS by machine learning models for the differential diagnosis of this disease. The study data were obtained from ambulatory blood pressure examination data of 339 patients collected in outpatient clinics of the Chinese PLA General Hospital from December 2018 to December 2019, including 115 patients with OSAHS diagnosed by polysomnography (PSG) and 224 patients with non-OSAHS. Based on the characteristics of clinical changes of blood pressure in OSAHS patients, feature extraction rules were defined and algorithms were developed to extract features, while logistic regression and lightGBM models were then used to classify and predict the disease. The results showed that the identification accuracy of the lightGBM model trained in this study was 80.0%, precision was 82.9%, recall was 72.5%, and the area under the working characteristic curve (AUC) of the subjects was 0.906. The defined ambulatory blood pressure features could be effectively used for identifying OSAHS. This study provides a new idea and method for OSAHS screening.
Objective To investigate the levels of IL-6 and TNF-α in children with obstructive sleep apnea syndrome (OSAS) and to determine their clinical significance. Methods One hundred children with OSAS in our department from August 2005 to February 2006, and 40 healthy children were enrolled in the study. The serum levels of IL-6 and TNF-α were measured. Results Serum levels of IL-6 and TNF-α were significantly higher in patients with OSAS than those in the control group (Plt;0.05). Both IL-6 and TNF-α were not correlated with AHI. Conclusion It is concluded that OSAS is a chronic inflammatory process. A close correlation was observed between high levels of IL-6 and TNF-α and OSAS. High levels of IL-6 and TNF-α account for the risk factors in the development of cardiovascular diseases in children with OSAS.
Objective To explore the diagnosis and treatment of critically ill patients suffering from obstructive sleep apnea-hypopnea syndrome ( OSAHS) . Methods Critically ill patients with OSAHS admitted in intensive care unit from January 2003 to December 2007 were retrospectively analyzed. Results Seventy-nine critically ill patients were diagnosed as OSAHS. The initial diagnosis of OSAHS was made by history requiring, physical examination, and Epworth sleepiness score evaluation. The final diagnosis was comfirmed by polysomnography thereafter. Base on the treatment of primary critical diseases, the patients were given respiratory support either with continuous positive airway pressure ( CPAP) or with bi-level positive airway pressure ventilation ( BiPAP) . Two cases died and the remaining 77 patients were cured anddischarged. Conclusions Timely diagnosis of OSAHS is important to rescue the critically ill patients. Respiratory support combined with treatment of primary critical diseases can improve the outcomes of these patients.
Objective To explore the difference between the hemorheology levels and the expression of hypoxia inducible factor 1α/2α (HIF-1α/2α) in the peripheral blood mononuclear cells of the Tibetan and Han patients with obstructive sleep apnea hypopnea syndrome (OSAHS). Methods This research recruited 30 high-risk Tibetan and Han patients with OSAHS, and 30 Tibetan and Han healthy volunteers at the same period. The whole blood viscometer was used to detect the high shear rate of whole blood viscosity, low shear rate of whole blood viscosity, plasma viscosity ratio, red blood cell aggregation index, and hematocrit in each group. RT-qPCR and Western blot assays were used to detect the mRNA and protein levels of phosphoinositide 3-kinase (PI3K), serine/threonine kinase (AKT), nuclear factor-κB (NF-κB) p65, HIF-1α and HIF-2α in peripheral blood mononuclear cells. Results The hemorheology level of Tibetan OSAHS patients was significantly higher than that of healthy Tibetans and Han OSAHS patients (P<0.05), and the hemorheology level of Han OSAHS patients was significantly higher than that of Han healthy people (P<0.05) . The mRNA and protein levels of PI3K, AKT, NF-κB p65 and HIF-1α in the peripheral blood mononuclear cells of Tibetan OSAHS patients were significantly higher than those of the healthy Tibetans or Han people, and these indexes of the Han OSAHS patients were significantly higher than those of the Han healthy people (all P<0.05), while HIF-2α mRNA and protein levels were significantly lower than those of healthy Han people (all P<0.05). Conclusion The upregulation of HIF-1α level and downregulation of HIF-2α expression in peripheral blood mononuclear cells of OSAHS patients depend on the activation of the PI3K/AKT/NF-κB p65 signaling pathway, and the hemorheological level of Tibetan OSAHS patients is higher than that of Han OSAHS patients.
Sleep disorder is related to many comorbidities, such as diabetes, obesity, cardiovascular diseases, and hypertension. Because of its increasing prevalence rate, it has become a global problem that seriously threatens people’s health. Various forms of sleep disorder can cause increased insulin resistance and/or decreased sensitivity, thus affecting the occurrence, development and prognosis of diabetes. However, sleep health has not been paid attention to in recent years. Therefore, this article summarizes the findings of the correlation between sleep disorder and diabetes mellitus in recent years, by elaborating the relationship between various types of sleep disorder (including sleep apnea syndrome) and diabetes mellitus, as well as their mechanisms and intervention measures, in order to enhance the attention of clinical workers to sleep health, and to provide basis for reducing the risk of diabetes.
ObjectiveTo analyze the causal relationship between obstructive sleep apnea (OSA) with its typical symptoms (daytime sleepiness and snoring) and cardiovascular diseases (hypertension, coronary heart disease, myocardial infarction, heart failure) by using Mendelian randomization. MethodsWe used the instrumental variables (IV) in the FINNGen database and the UK Biobank to perform two-sample Mendelian randomization (TSMR) analysis. The results of random-effects inverse variance weighting method (IVW) were the main results. MR-Egger method was used for pleiotropic analysis and sensitivity analysis was performed by the leave-one-out method to verify the reliability of the data. ResultsOSA could lead to hypertension (IVW β=0.043, 95%CI 0.012 to 0.074, P=0.006) and heart failure (IVW β=0.234, 95%CI 0.015 to 0.452, P=0.036). Daytime sleepiness also had a pathogenic effect on heart failure (IVW β=1.139, 95%CI 0.271 to 2.006, P=0.010). There was no causal association between OSA and CHD or MI, snoring and the four CVDs. There was no causal association between daytime sleepiness and hypertension, CHD or MI.ConclusionOSA and daytime sleepiness have pathogenic effects on hypertension and heart failure, with heart failure being the most affected.