由于高血压的高患病率与高致残致死率, 已经成为我国重点防治的心血管疾病和社会普遍关注的重大公共卫生问题之一。大量流行病学、临床和基础研究已证实睡眠呼吸暂停低通气综合征( sleep apnea-hypopnea syndrome, SAHS) 与高血压发病和疗效关系密切[ 1-8 ] , 是高血压发生的主要病因之一, 由此“睡眠呼吸暂停相关性高血压”一词便应运而生[ 9-1 0] , 它是指由SAHS 引发和加重的高血压。本期刊载的“阻塞性睡眠呼吸暂停相关性高血压临床诊断和治疗专家共识”( 以下简称共识) , 为睡眠呼吸暂停相关性高血压的诊治提供了规范性的指导意见, 对推动我国该领域的防治水平有重要作用。我们期望“共识”能为读者认识和防治睡眠呼吸暂停相关性高血压提供必要的指导和帮助, 使我国为数众多的睡眠呼吸暂停相关性高血压患者得到规范的诊治。
Sleep-related breathing disorder (SRBD) is a sleep disease with high incidence and many complications. However, patients are often unaware of their sickness. Therefore, SRBD harms health seriously. At present, home SRBD monitoring equipment is a popular research topic to help people get aware of their health conditions. This article fully compares recent state-of-art research results about home SRBD monitors to clarify the advantages and limitations of various sensing techniques. Furthermore, the direction of future research and commercialization is pointed out. According to the system design, novel home SRBD monitors can be divided into two types: wearable and unconstrained. The two types of monitors have their own advantages and disadvantages. The wearable devices are simple and portable, but they are not comfortable and durable enough. Meanwhile, the unconstrained devices are more unobtrusive and comfortable, but the supporting algorithms are complex to develop. At present, researches are mainly focused on system design and performance evaluation, while high performance algorithm and large-scale clinical trial need further research. This article can help researchers understand state-of-art research progresses on SRBD monitoring quickly and comprehensively and inspire their research and innovation ideas. Additionally, this article also summarizes the existing commercial sleep respiratory monitors, so as to promote the commercialization of novel home SRBD monitors that are still under research.
ObjectiveTo determine the correlation between obstructive sleep apnea syndrome (OSAS) and nonarteritic ischemic optic neuropathy (NAION).MethodsIt was a perspective study. A total of 41 consecutive patients with NAION (NAION group) and 41 age- and sex-matched physical examination subjects (control group) in Xi’an No.3 Hospital from December 2016 to December 2018 were enrolled in this study. The apnea hypopnea index (AHI, the number of sleep apneas per hour) was monitored using a polysomnography for patients in NAION group and control group. At the same time, the blood oxygen saturation was continuously recorded. The OSAS can be diagnosed if the AHI value was ≥5. OSAS severity was graded as mild: 5≤AHI＜15; moderate: 15≤AHI＜30; severe: AHI ≥30. The grading of OSAS severity between two groups was compared by Fisher's exact test. The AHI and minimum blood oxygen saturation were compared between NAION group and control group using the Mann-Whitney U test. Spearman correlation analysis was performed on the correlation between OSAS and NAION.ResultsAmong the patients in the NAION group, 31 patients (75.61%) were diagnosed with OSAS. Among them, 6 patients (14.63%) were mild, 9 patients (21.95%) were moderate, and 16 patients (39.03%) were severe. In the control group, 19 patients (46.34%) were diagnosed with OSAS. Among them, 10 patients (24.39%) were mild, 5 patients (12.20%) were moderate, and 4 patients (9.75%) were severe. The difference of OSAS patients of mild, moderate and severe between two groups were statistically significant (Z=0.235, 0.245, 0.312; P=0.012, 0.014, 0.032). The average AHI of patients in the NAION group was 20.25±7.74, and the mean minimum oxygen saturation at night was (87.38±5.53)%. The average AHI of the control group was 18.67±11.67, and the mean minimum oxygen saturation at night was (85.06+4.25)%. The differences of the mean AHI and mean minimum oxygen saturation between two groups were statistically significant (Z=1.124, 2.317, P=0.003, 0.020). There was a positive correlation between OSAS and NAION (Spearman correlation coefficient=0.229, P=0.030).ConclusionThere is a positive correlation between OSAS and NAION.
Objective To evaluate the effectiveness ofradiofrequency volumetric tissue reduction （RFVTR） in the treatment of sleep disordered breathing （SDB ）. Methods We searched The Cochrane Central Register of Controlled Trials （Issue 1, 2005）, MEDLINE （1966 to Apr. 2005）, EMBASE （1989 to Apr. 2005）, CINAHL （1982 to Dec. 2000）, VIP （1989 to Dec. 2004） , CJFD （1979 to 2005）, WANFANG DATA （1977 to 2004） , and CBMdisc （1978 to 2005）. The bibliographies of all papers retrieved in full text form and relevant narrative reviews were searched for additional publications. All randomized controlled clinical trials （RCT） or quasi-randomized controlled trials （quasi-RCT） or prospective cohort studies of RFVTR alone or in combination with other treatments compared with placebo or other treatments were included. Data were extracted independently from the trial reports by the two authors. Meta-analysis was performed using RevMan software. Results There were 11 studies including 540 patients met the inclusion criteria for this review, among which five were RCTs, six were prospective cohort studies, and all trials were of lower methodological quality. RFVTR showed benefit over placebo in apnea index （AI）, but this benefit was not seen in other polysorrmography （PSG） parameters, symptom and quality of life, psychomotor vigilance pain, swallowing difficulty and adverse events. Compared with continuous positive airway pressure （CPAP）, uvulopalatopharyngoplasty （UPPP） and laser assisted uvulopalatoplasty （LAUP） , RFVTR was more effective in psychomotor vigilance pain and swallowing difficulty, but this effect was not seen in PSG parameters, symptom and quality of life. Conclusions RFVTR is more effective than placebo in AI improvement and other treatments in decreasing postoperative pain and other adverse events ; but this benefit was not seen in improving quality of sleeping and life. More well-designed randomized trials need to be conducted to identify the effectiveness and the influence on effectiveness of severity and frequency of treatment.
ObjectiveTo investigate the renal impairment and the risk factors of renal impairment in patients with OSA. MethodsData from patients who underwent polysomnography (PSG) in our department from July 2022 to January 2023 were collected, totaling 178 cases. Based on the results of the polysomnography, the patients were divided into an OSA group (145 cases) and a non-OSA group (33 cases). According to the severity of the condition, the OSA group was further divided into mild OSA (21 cases), moderate OSA (28 cases), and severe OSA (96 cases). The Pearson correlation analysis was further conducted to analyze the relationships between serum urea nitrogen (BUN), serum cystatin C (Cys-C) concentrations, and estimated Glomerular Filtration Rate (eGFR) with various risk factors that may influence renal impairment. Moreover, multiple linear regression analysis was used to identify the risk factors affecting BUN, Cys-C, and eGFR. ResultsWhen comparing the two groups, there were statistically significant differences in age, weight, BMI, neck circumference, waist circumference, eGFR、Cys-C、BUN, LSaO2, CT90% (all P<0.05). Univariate analysis of variance was used to compare differences in BUN, Serum creatinine (SCr), Cys-C, and eGFR among patients with mild, moderate, and severe OSA, indicating that differences in eGFR and Cys-C among OSA patients of varying severities were statistically significant. Further analysis with Pearson correlation was conducted to explore the associations between eGFR, BUN, and Cys-C with potential risk factors that may affect renal function. Subsequently, multiple linear regression was utilized, taking these three indices as dependent variables to evaluate risk factors potentially influencing renal dysfunction. The results demonstrated that eGFR was negatively correlated with age, BMI, and CT90% (β=−0.95, P<0.001; β=−1.36, P=0.01; β=−32.64, P<0.001); BUN was positively correlated with CT90% (β=0.22, P=0.01); Cys-C was positively correlated with CT90% (β=0.58, P<0.001. Conclusion Chronic intermittent hypoxia, age, and obesity are risk factors for renal dysfunction in patients with OSA.
Objective To investigate the effect of anti-seizure medications (ASMs) pregabalin (PGB) monotherapy on sleep structure and quality of patients with focal epilepsy. MethodsAdult patients whom newly diagnosed focal epilepsy were collected and treated with PGB monotherapy. The main outcome measures were the changes of polysomnography and video-electroencephalography (PSG-VEEG), Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI) and Epworth Sleepiness Scale (ESS) in epilepsy patients with PGB and baseline. Results PGB improved significantly sleep structural parameters, including increased total sleep time (P<0.001), decreased sleep latency (P<0.001), improved sleep efficiency (P<0.001), reduced wake time after sleep onset (P<0.001), increased sleep maintenance efficiency (P<0.001) and proportion of N3 sleep stage (P<0.001). In the group with poor sleep efficiency, 86.7% of patients achieved sleep efficiency>85% after PGB treatment. The difference was statistically significant (P<0.01). PGB reduced significantly PSQI score (P<0.001) and ISI score (P<0.001). No significant change in ESS score was observed (P>0.05). ConclusionsPGB could enhance slow-wave sleep (SWS), increase sleep quality and improve insomnia in patients with epilepsy without causing daytime sleepiness.
ObjectiveThe aim of this study was to investigate the changes in peripheral blood metabolites and transcriptomes in patients with obstructive sleep apnea (OSA) and to assess their diagnostic value as biomarkers. MethodsIn this study, we utilized liquid chromatography-tandem mass spectrometry (LC-MS/MS) lipid-targeted metabolomics to compare the metabolic profiles of 30 OSA patients with those of 30 healthy controls, identifying differential lipid metabolites. Through Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, we determined that the glycerolipid metabolism pathway was significantly different. Furthermore, we conducted transcriptome analysis on peripheral blood mononuclear cells (PBMCs) from six OSA patients and six healthy controls to evaluate the expression of molecules related to the pathway. ResultsA total of 168 differential lipid metabolites were identified, with significant differences in the glycerolipid metabolism pathway between OSA patients and healthy controls. Transcriptome analysis revealed that glycerolipid metabolism-related molecules GPAT, AGPAT, and LPIN were under expressed in OSA patient PBMCs, suggesting that the glycerolipid metabolism pathway is suppressed in OSA patients. Additionally, diagnostic value analysis showed that GPAT and AGPAT had high AUC values, indicating their potential as biomarkers for OSA. ConclusionThe suppression of the glycerolipid metabolism pathway is closely related to the development of OSA, and the under expression of key genes in this pathway, such as GPAT, AGPAT, and LPIN, may be involved in the pathophysiological process of OSA. These findings not only provide a new perspective for understanding the pathogenesis of OSA but also offer new scientific evidence for the treatment of OSA from the perspective of glycerolipid metabolism regulation.
Objective To analyze the risk factors of prethrombotic state of obstructive sleep apnea and hyponea syndrome (OSAHS), providing basis and reference for the prevention of prethrombotic state of OSAHS. Methods Two hundred and thirty-eight patients excluding the presence of possible effects of coagulation factors from June 2014 to July 2016 were diagnosed as OSAHS by polysomnography (PSG) and underwent coagulation, thrombosis, fibrinolysis, and inflammatory factors testing. Fifty-six patients met the standard of prethrombotic state (prethrombotic state group) and 59 patients randomly selected from the remaining 182 patients did not meet the standard (non-prethrombotic state group). The age, sex, body mass index (BMI), sleep apnea and hypopnea index (AHI), interleukin-6 (IL-6), complicating chronic obstructive pulmonary disease (COPD) and hypertension were compared between two groups. Results Non conditional Logistic regression analysis showed that the risk factors of prethrombotic state of OSAHS were age (OR=1.202, 95%CI: 1.107 to 1.305), IL-6 (OR=1.127, 95%CI: 1.014 to 1.252), AHI (OR=1.151, 95%CI: 1.055 to 1.256), and complicating COPD (OR=4.749, 95%CI: 1.046 to 21.555). Conclusion Age, AHI, IL-6, and complicating COPD may be the risk factors of prethrombotic state of OSAHS, among which complicating COPD may be the most important risk factor.
ObjectiveTo explore and clarify the relationship between epileptic seizure and inducing factors. Avoid inducing factors and reduce epileptic seizure, so as to improve the quality of life in patients with epilepsy.MethodsClinical data of 604 patients diagnosed with epilepsy in Xijing Hospital of Air Force Military Medical University from January 2018 to January 2019 were collected. The clinical data of patients with epilepsy were followed up 6 months.ResultsAmong the 604 patients, 318 (52.6%) were seizure-free in the last 6 months, 286 (47.4%) had seizures. 169 (59.1%) had seizures with at least one inducing factor. Common inducing factors: 123 cases of sleep disorder (72.8%), 114 cases of emotion changes (67.5%), 87 cases of irregular medication (51.5%), 97 cases of diet related (57.4%), 33 cases of menstruation and pregnancy (19.5%), etc. Using the χ2 test, seizures with age, gender differences had no statistical significance (P > 0.05), but seizure type was statistically different between inducing factors. In generalized seizures, tonic-clonic seizures associated with sleep deprivation (χ2= 0.189), absence seizures and anger (χ2= 0.237), pressure (χ2= 0.203), irregular life (χ2= 0.214). In the focal seizures, focal motor seizures was correlated with coffee consumption (χ2=0.145), focal sensory seizures with cold (χ2=0.235), electronic equipment use (χ2 =0.153), satiety (χ2 =0.257). Complex partial seizures was correlated with anger (χ2 =0.229), stress (χ2 =0.187), and cold (χ2 =0.198). The secondarily generalized seizures was correlated with drug missing (χ2 =0.231), sleep deprivation (χ2 =0.158), stress (χ2 =0.161), cold (χ2 =0.263), satiety (χ2 =0.182). Among the inducing factors, sleep deprivation was correlated with anger (χ2 =0.167), fatigue (χ2 =0.283), and stress (χ2 =0.230).ConclusionsEpileptic seizure were usually induced by a variety of factors. Generalized seizures were associated with sleep disorders, emotional changes, stress, irregular life, etc. While focal seizures were associated with stress, emotional changes, sleep disorders, cold, satiety, etc. An analysis of the triggers found that sleep deprivation was associated with anger, fatigue, and stress. Therefore, to clarify the inducing factors of epileptic seizure, avoid the inducing factors as much as possible, reduce the harm caused by seizures, and improve the quality of life of patients.
Objective To understand the incidence of frailty in maintenance hemodialysis (MHD) patients, and to explore the correlation and influencing factors of frailty in MHD patients, so as to provide some basis for the intervention of frailty in MHD patients. Methods Patients who underwent MHD in the Department of Nephrology of West China Hospital of Sichuan University from January to March 2021 were selected. Frail scale and Pittsburgh Sleep Quality Index (PSQI) were used for evaluation, and the influencing factors of frail in patients with MHD and its correlation with frail were analyzed. Results A total of 141 patients with MHD were included, including 57 cases without frailty (40.43%), 71 cases in early frailty (50.35%), and 13 cases in frailty (9.22%). 54 cases (38.30%) had very good sleep quality, 56 cases (39.72%) had good sleep quality, 24 cases (17.02%) had average sleep quality, and 7 cases (4.96%) had very poor sleep quality. The frailty of MHD patients was positively correlated with age (rs=0.265, P=0.002), PSQI (rs=0.235, P=0.005) and magnesium (rs=0.280, P=0.001). Logistic regression analysis showed that the influencing factors of MHD patients’ frailty were gender [odds ratio (OR) =4.321, 95%confidence interval (CI) (1.525, 12.243), P=0.006], PSQI [OR=1.110, 95%CI (1.009, 1.222), P=0.032], magnesium [OR=122.072, 95%CI (4.752, 3 135.528), P=0.004], hypertension [OR=0.112, 95%CI (0.023, 0.545), P=0.007] and other diseases [OR=0.102, 95%CI (0.019, 0.552), P=0.008]. Conclusions The incidence of frailty in MHD patients is high. Gender, PSQI, magnesium, hypertension and other diseases are the influencing factors of frailty in MHD patients, and there is a correlation between frailty and sleep. It is suggested that renal medical staff should pay more attention to the assessment of MHD frailty and sleep, and carry out multi-disciplinary personalized intervention to improve the quality of life of MHD patients.