We applied Lempel-Ziv complexity (LZC) combined with brain electrical activity mapping (BEAM) to study the change of alertness under sleep deprivation in our research. Ten subjects were involved in 36 hours sleep deprivation (SD), during which spontaneous electroencephalogram (EEG) experiments and auditory evoked EEG experiments-Oddball were recorded once every 6 hours. Spontaneous and evoked EEG data were calculated and BEAMs were structured. Results showed that during the 36 hours of SD, alertness could be divided into three stages, i.e. the first 12 hours as the high stage, the middle 12 hours as the rapid decline stage and the last 12 hours as the low stage. During the period SD, LZC of Spontaneous EEG decreased over the whole brain to some extent, but remained consistent with the subjective scales. By BEAMs of event related potential, LZC on frontal cortex decreased, but kept consistent with the behavioral responses. Therefore, LZC can be effective to reflect the change of brain alertness. At the same time LZC could be used as a practical index to monitor real-time alertness because of its simple computation and fast calculation.
Objective To investigate the effect of continuous positive airway pressure (CPAP) on sleep disorder and neuropsychological characteristics in patients with early Alzheimer’s disease (AD) combined with obstructive sleep apnea hypopnea syndrome (OSAHS). Methods A total of forty-two early AD patients with OSAHS were randomly divided into a CPAP combined treatment group (20 cases) and a simple medicine treatment group (22 cases). The changes of neurocognitive function were assessed by Montreal Cognitive Assessment (MoCA), Mini-mental State Examination (MMSE) and Hopkins Verbal Learning Test-revised (HVLT). Patient Health Questionnaire-9 (PHQ9) was used to evaluate the depression mood changes. The sleep characteristics and respiratory parameters were evaluated by polysomnography. The changes of the patients’ sleep status were assessed by Epworth Sleepiness Scale (ESS) and Pittsburgh Sleep Quality Index (PSQI). The changes of sleep status, cognitive function and mood in the CPAP combined treatment group were compared before and three months after CPAP treatment, and with the simple medicine treatment group. Results After three months of CPAP treatment, the ESS, PSQI and PHQ9 scores in the CPAP combined treatment group were significantly decreased compared with those before treatment, whereas MoCA, MMSE and HVLT (total scores and recall ) in the CPAP combined treatment group were increased compared with those before treatment (P<0.05). After CPAP treatment, the respiratory parameters apnea hypopnea index in the CPAP combined treatment group was significantly lower than that before treatment (P<0.05), and the minimum blood oxygen saturation was significantly higher than that before treatment (P<0.05). However, the sleep characteristics and parameters did not show statistically significant changes compared with those before treatment (P>0.05). The ESS, PSQI and PHQ9 scores were significantly reduced in the CPAP combined treatment group compared with the simple medicine treatment group (P<0.05), while there was no statistically significant changes of cognitive scores between the two groups (P>0.05). Conclusions The degree of low ventilation and hypoxia is alleviated, and the daytime sleepiness and depression is improved in early AD patients with OSAHS after three-month continuous CPAP treatment. Cognitive function is significantly improved, whereas there is no significant change in sleep structure disorder.
ObjectiveTo investigate the effects and clinical significance of edaravone on serum tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6) and intercellular adhesion molecule-1 (ICAM-1) in elderly patients with obstructive sleep apnea hypopnea syndrome (OSAHS).MethodsA total of 90 elderly patients with moderate to severe OSAHS confirmed by polysomnography were recruited from North China University of Science and Technology Affiliated Hospital in February 2016 to October 2017. According to random number table method the OSAHS patients were randomly divided into group A (n=30), group B (n=30) and group C (n=30). Group A received continuous positive airway pressure treatment for six months, group B received edaravone therapy and continuous positive airway pressure treatment for six months, and group C only received edaravone therapy for six months. The changes of serum TNF-α, IL-6 and ICAM-1 were detected by enzyme-linked immunosorbent assay before and after treatment.ResultsThe differences of serum TNF-α, IL-6 and ICAM-1 before treatment in the three groups were not statistically significant (P>0.05). Compared with before treatment, the levels of serum TNF-α, IL-6 and ICAM-1 decreased in the three groups (P<0.05). After six months of treatment, the levels of serum TNF-α, IL-6 and ICAM-1 decreased in group A and group B compared with group C (P<0.05), and decreased significantly in group B compared with group A (P<0.05).ConclusionEdaravone can inhibit the expressions of serum TNF-α, IL-6 and ICAM-1 in elderly patients with moderate to severe OSAHS, and thereby reduce vascular endothelial dysfunction and injury.
Sleep apnea (SA) detection method based on traditional machine learning needs a lot of efforts in feature engineering and classifier design. We constructed a one-dimensional convolutional neural network (CNN) model, which consists in four convolution layers, four pooling layers, two full connection layers and one classification layer. The automatic feature extraction and classification were realized by the structure of the proposed CNN model. The model was verified by the whole night single-channel sleep electrocardiogram (ECG) signals of 70 subjects from the Apnea-ECG dataset. Our results showed that the accuracy of per-segment SA detection was ranged from 80.1% to 88.0%, using the input signals of single-channel ECG signal, RR interval (RRI) sequence, R peak sequence and RRI sequence + R peak sequence respectively. These results indicated that the proposed CNN model was effective and can automatically extract and classify features from the original single-channel ECG signal or its derived signal RRI and R peak sequence. When the input signals were RRI sequence + R peak sequence, the CNN model achieved the best performance. The accuracy, sensitivity and specificity of per-segment SA detection were 88.0%, 85.1% and 89.9%, respectively. And the accuracy of per-recording SA diagnosis was 100%. These findings indicated that the proposed method can effectively improve the accuracy and robustness of SA detection and outperform the methods reported in recent years. The proposed CNN model can be applied to portable screening diagnosis equipment for SA with remote server.
Objective To evaluate the application value of optical coherence tomography angiography (OCTA) in obstructive sleep apnea syndrome (OSAS). Methods A comprehensive search of both domestic and international databases was conducted to identify clinical studies on the use of OCTA in OSAS, from the establishment of the databases to May 2024. A meta-analysis was performed using Revman 5.4 software. Results A total of 134 studies were initially identified, with 14 studies meeting the inclusion criteria, encompassing 999 subjects (739 in the OSAS group and 260 in the healthy group). Meta-analysis results indicated that the superficial capillary plexus (SCP) density in the fovea (MD=–2.05, 95%CI –3.75 to –0.35, P=0.02) and parafovea (MD=–1.56, 95%CI –2.44 to –0.68, P=0.000 5) was significantly lower in the OSAS group compared with the healthy group. In the mild to moderate OSAS group, SCP density was significantly lower in the fovea (MD=–2.41, 95%CI –4.32 to –0.49, P=0.01), parafovea (MD=–1.17, 95%CI –2.01 to –0.32, P=0.007), and perifovea (MD=–1.73, 95%CI –2.69 to –0.77, P=0.000 4) compared with the healthy group. In the severe OSAS group, SCP density in the perifovea (MD=–1.33, 95%CI –2.53 to –0.13, P=0.03) was significantly lower than that of the healthy group. SCP density in the whole area (MD=0.36, 95%CI 0.05 to 0.68, P=0.02) was significantly higher in the mild to moderate OSAS group compared with the severe OSAS group. In the deep capillary plexus (DCP) density, the OSAS group showed significantly lower densities in the whole area (MD=–2.16, 95%CI –3.51 to –0.81, P=0.002), fovea (MD=–2.38, 95%CI –4.38 to –0.37, P=0.02), and parafovea (MD=–2.33, 95%CI –3.93 to –0.73, P=0.004) compared with the healthy group. The mild to moderate OSAS group also showed significantly lower densities in the whole area (MD=–2.02, 95%CI –3.33 to –0.72, P=0.002) and parafovea (MD=–1.65, 95%CI –3.04 to –0.26, P=0.02) compared with the healthy group. The severe OSAS group had significantly lower DCP density in the whole area (MD=–2.26, 95%CI –3.85 to –0.66, P=0.006) and parafovea (MD=–1.47, 95%CI –2.31 to –0.62, P=0.000 7) compared with the healthy group. DCP density in the whole area (MD=0.54, 95%CI 0.02 to 1.07, P=0.04) was significantly higher in the mild to moderate OSAS group compared with the severe OSAS group. Regarding the retinal nerve fiber layer (RNFL) thickness, the inferior quadrant (MD=4.01, 95%CI 0.69 to 7.32, P=0.02) and temporal quadrant (MD=4.35, 95%CI 1.88 to 6.82, P=0.000 6) were significantly thicker in the mild to moderate OSAS group compared with the severe OSAS group. In terms of the foveal avascular zone (FAZ) area, the severe OSAS group showed a significantly larger FAZ area (MD=0.06, 95%CI 0.03 to 0.08, P<0.000 01) compared with the healthy group. Conclusion OCTA-related ocular biomarkers may be associated with the occurrence and progression of OSAS and have potential applications in the diagnosis and treatment of OSAS.
ObjectiveTo investigate the pathogenesis and treatment of obstructive sleep apnea hypopnea syndrome (OSAHS) by detecting the changes of serum interleukin-23 (IL-23) and C-reactive protein (CRP) levels of the OSAHS patients before and after treatment with continuous positive airway pressure (CPAP).MethodsFifty-eight patients with moderate to severe OSAHS diagnosed by polysomnography were recruited as an experimental group, 57 out-patient healthy subjects with matched age, sex and body mass index of the experimental group were enrolled as a control group. The serum concentrations of IL-23 and CRP in the experimental group were detected and compared before and after CPAP application for 3 months. The serum concentrations of IL-23 and CRP in the control group were also measured.ResultsThe serum levels of IL-23 and CRP in the OSAHS patients were significantly higher than those in the normal control subjects (P<0.05). The serum levels of IL-23 and CRP in the OSAHS patients after CPAP treatment were significantly lower than those before CPAP treatment (P<0.05). The serum concentrations of IL-23 and CRP were positively correlated with apnea hypopnea index (r=0.756, r=0.345, P<0.05, respectively), and negatively correlated with mean oxygen saturation (r=–0.715, r=–0.334, P<0.05, respectively).ConclusionsThe serum levels of IL-23 and CRP are positively correlated with the severity of OSAHS. After CPAP treatment, the levels of IL-23 and CRP decrease, which indicates that CPAP treatment may reduce the inflammatory reaction and correct anoxia of OSAHS patients.
Sleep stage classification is a necessary fundamental method for the diagnosis of sleep diseases, which has attracted extensive attention in recent years. Traditional methods for sleep stage classification, such as manual marking methods and machine learning algorithms, have the limitations of low efficiency and defective generalization. Recently, deep neural networks have shown improved results by the capability of learning complex pattern in the sleep data. However, these models ignore the intra-temporal sequential information and the correlation among all channels in each segment of the sleep data. To solve these problems, a hybrid attention temporal sequential network model is proposed in this paper, choosing recurrent neural network to replace traditional convolutional neural network, and extracting temporal features of polysomnography from the perspective of time. Furthermore, intra-temporal attention mechanism and channel attention mechanism are adopted to achieve the fusion of the intra-temporal representation and the fusion of channel-correlated representation. And then, based on recurrent neural network and inter-temporal attention mechanism, this model further realized the fusion of inter-temporal contextual representation. Finally, the end-to-end automatic sleep stage classification is accomplished according to the above hybrid representation. This paper evaluates the proposed model based on two public benchmark sleep datasets downloaded from open-source website, which include a number of polysomnography. Experimental results show that the proposed model could achieve better performance compared with ten state-of-the-art baselines. The overall accuracy of sleep stage classification could reach 0.801, 0.801 and 0.717, respectively. Meanwhile, the macro average F1-scores of the proposed model could reach 0.752, 0.728 and 0.700. All experimental results could demonstrate the effectiveness of the proposed model.
Objective To investigate the role of red cell distribution width ( RDW) in coronary artery diseases patients complicated with obstructive sleep apnea-hypopnea syndrome ( OSAHS) . Methods 134 coronary artery diseases patients who had at least one-vessel disease confirmed by coronary angiography were investigated by polysomnography for OSAHS. The patients were classified according to theapneahypopnea index(AHI) . The level of RDW, triglyceride, cholesterol, high density lipoprotein, low density lipoprotein, hemoglobin, white blood cells and hematocritwere measured. The receiver operating characteristic curve was drawn to predict the moderate-severe OSAHS in coronary artery diseases patients according to RDW value. Results When 134 coronary artery diseases patients were classified into a control group and an OSAHS group according to the AHI, the level of RDW in two groups was not significantly different [ ( 13.44 ±1.30) % vs. ( 13.12 ±0.92) % , P gt; 0.05] . When 134 coronary artery diseases patients were classified into a control and mild OSAHS group and a moderate-severe OSAHS group according to the AHI, the level of RDW in two groups was significantly different [ ( 13.07 ±0.94) vs. ( 14.02 ±1.41) % , P lt; 0.05] . And no difference was found in hemoglobin, triglyceride, cholesterol, high density lipoprotein, low density lipoprotein, platelet, and hematocrit between two groups. The ROC curve analysis revealed that the area under ROC curve was 0.748 ( 0.523-0.972) , and the best cut-off for moderate-severe OSAHS was 13.95% with sensitivity of 71.43% and specificity of 82.98% . Conclusion RDW may be a useful and simple tool to predict moderate-severe OSAHS in coronary artery diseases patients.
Objective To investigate the clinical efficacy and safety of coblation-assisted adenotonsillectomy for treatment of children with obstructive sleep apnea hypopnea syndrome (OSAHS). Methods From June 2007 to May 2008, after monitoring polysomnography (PSG) confirmed 82 cases of OSAHS in children aged 3 to 14 years, with an average age of 6.2 years old, the ENT CoblatorII surgical instrument made by Arthrocare in the US and one-time EVac 70 T amp; A segment was used under complete anesthesia to remove tonsils and(or)adenoid ablation. Polysomnography monitoring was used preoperatively and 6 months postoperatively to determine the therapeutic effect. Results No significant complications occurred among the children both during the operation and postoperatively. Patients were followed for 6 months, and a satisfactory effect was achieved. The lowest oxygen saturation (LSaO2) improved significantly (Plt;0.001); the apnea-hypopnea index (AHI) decreased significantly after the operation (Plt;0.001). In accordance with OSAHS diagnosis and efficacy evaluation standards, 45 patients were cured after 6 months, 21 patients showed an excellent effect, 10 patients showed a good effect, six patients had no effect, and the total effective rate was 92.6%. Conclusion Low-temperature coblation-assisted adenotonsillectomy has good clinical efficacy with a shortened surgical time, less intraoperative and postoperative blood loss, less postoperative pain, few complications, and a simple operation procedure. It can effectively expand the nasopharynx, oropharynx ventilation cross-sectional area, lift the upper airway obstruction, and can be especially suitable for surgical treatment of children with OSAHS.
ObjectiveTo systematically review the association between obstructive sleep apnea syndrome and levels of thyroid hormone.MethodsWe electronically searched databases including PubMed, The Cochrane Library (Issue 6, 2016), Web of Science, VIP, CNKI, WanFang Data, CBM and the relevant conference abstracts and unpublished literatures from inception to June, 2016 to collect the case-control studies about the levels of thyroid hormones with OSAS. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies. Then, meta-analysis was performed by RevMan 5.2 software.ResultsA total of 8 RCTs involving 1 519 patients were included. The results of meta-analysis showed that: there were no significant differences of levels of FT3 between OSAS group and control group (mild: SMD=–0.01, 95%CI –0.21 to 0.20, P=0.93; moderate: SMD=0.15, 95%CI –0.34 to 0.64, P=0.55; severe: SMD=0.12, 95%CI –0.32 to 1.25, P=0.08). There were significant differences of levels of FT4 between mild and moderate OSAS groups with control group (mild: SMD=–0.49, 95%CI –0.74 to –0.25, P<0.000 1; moderate: SMD=–0.86, 95%CI –1.69 to –0.02, P=0.04), but no significant difference in severe group (SMD=–1.06, 95%CI –2.16 to 0.03, P=0.06). There were no significant differences of levels of TSH between OSAS group and control group (mild: SMD=–0.03, 95%CI –0.13 to 0.20, P=0.69; moderate: SMD=–0.09, 95%CI –0.27 to –0.10, P=0.35; severe: SMD=–0.02, 95%CI –0.26 to –0.22, P=0.88).ConclusionsThe current evidence shows that, OSAS is associated with lower levels of FT4. Due to the limited quality and quantity of included studies, the above results are needed to validate by more studies.
