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.
Objective To investigate the possible association between serum level of hepatocyte growth factor( HGF) and obstructive sleep apnea hypopnea syndrome( OSAHS) with hypertension.Methods 58 cases of OSAHS without hypertension, 61 cases of OSAHS with hypertension, and 50 normal controls were enrolled. Serum level of HGF was measured by enzyme-linked immunosorbent assay( ELISA) , and the relationships between the serum HGF level and blood pressure( BP) , apnea hypopnea index( AHI) , lowest SaO2 ( LSaO2 ) were analyzed by linear correlation analysis. Results The serum HGF level ( pg/mL) was 761. 46 ±60. 18, 970. 87 ±60. 94, and 487. 34 ±45. 52 in the OSAHS patients without hypertention, OSAHS patients with hypertention, and normal subjects, respectively. Which was significantly higher in the OSAHSpatients than the normal subjects, and highest in the OSAHS patients with hypertension( P lt; 0. 05) . The serum HGF level was positively related to AHI( r = 0. 452, P lt;0. 05) and negatively related to LSaO2 ( r =- 0. 328, P lt;0. 05) in the OSAHS patients without hypertention, positively related to AHI, SBP, DBP( r =0. 670, P lt;0. 01; r =0. 535, P lt;0. 05; r =0. 424, P lt;0. 05) and negatively related to LSaO2 ( r = - 0. 572,P lt;0. 01) in the OSAHS patients with hypertension. Conclusions SerumHGF level increases significantly in patients with OSAHS especialy in OSAHS patients with hypertension, and positively correlates with the severity of OSAHS and hypertension.
Objective To investigate the relationship between adipocyte fatty acid binding protein ( A-FABP) and obstructive sleep apnea hypopnea syndrome ( OSAHS) . Methods A total of 120 patients were recruited and underwent polysomnography. The groups were allocated according severity of OSAHS and obesity. Plasma A-FABP ( ng/mL) levels were measured by ELISA. The associations between A-FABP and AHI, BMI, LSaO2 , MSaO2 , neck collar, waist /hip ratio, insulin resistance index were analyzed. Results Plasma A-FAPB levels were significantly higher in the OSAHS group than in the non-OSAHS group of same weight, independent of age and gender. In the non-OSAHS group and the severe OSAHS group, plasma A-FABP levels of obesity persons were significantly higher than those without obesity, independent of age and gender. Plasma A-FAPB level was positively correlated with AHI, BMI, insulin resistance index, neck collar, SLT90% , and waist/hip ratio, but negatevely correlated with LSaO2 and MSaO2 in the OSAHS group. In the non-OSAHS group, plasma A-FAPB level was positively correlated with BMI and insulin resistance index. Conclusions Plasma A-FABP level is higher in patients with severe OSAHS. Plasma A-FABP level is positively correlated with BMI and insulin resistance index both in OSAHS and non-OSAHS patients.
In order to guide diagnosis and treatment in children with sleep disordered breathing aged 1 to 23 months, the European Respiratory Society(ERS) summarized the evidence and released the European Respiratory Society statement based on clinical experience in 2016. This article aims to interpret the ERS statement. Children with apparent upper airway obstruction during wakefulness and those with SDB symptoms and complex conditions requires treatment. Adenotonsillectomy and continuous positive airway pressure are the most frequently used treatment measures along with interventions targeting specific conditions. Obstructive SDB in children aged 1 to 23 months is a multifactorial disorder that requires objective assessment and treatment of all underlying abnormalities.
Objective To evaluate the changes of right ventricular function in patients with obstructive sleep apnea hypopnea syndrome (OSAHS) before and after continuous positive airway pressure (CPAP) treatment by two-dimensional speckle tracking imaging (2D-STI). Methods Fifty patients with moderate and severe OSAHS were selected for CPAP treatment, and another 40 healthy volunteers were selected as a control group. 2D-STI and traditional echocardiography were conducted in the study group before treatment, after 3 months of continuous treatment and after 6 months of continuous treatment and in the control group. Results The differences between the control subjects and the OSAHS patients were statistically significant in right ventricular global longitudinal strain (RVGLS), right ventricular free lateral wall longitudinal strain (RVLLS), apical segment of the right ventricular free wall longitudinal strain (Apical RV-SL), basal segment of the right ventricular free wall longitudinal strain (Basal RV-SL), and media segment of the right ventricular free wall longitudinal strain (Media RV-SL) (all P<0.05). RVGLS, RVLLS and Apical RV-SL were significantly improved after 3 months of CPAP treatment (all P<0.05). Basal RV-SL was significantly improved after 6 months of CPAP treatment (P<0.05). Conclusions The right ventricular function of patients with OSAHS is abnormal. CPAP treatment can improve the right ventricular function of OSAHS patients. 2D-STI can accurately assess the changes of right ventricular function.
Sleep apnea syndrome (SAS) is a kind of harmful systemic sleep disorder with high incidence, and the pathological mechanism of it is complicated and the diagnosis and treatment are difficult. Mining the characteristic information of SAS from the single or small physiological signal is a hot topic in the research of sleep disorders in recent years. In our study shown in this paper, the detrended fluctuation analysis (DFA) was used to analyze sleep electroencephalogram (EEG) of SAS patients and normal healthy persons based on the non-stationary and nonlinear characteristics. It was found that in both groups, the scaling exponents increased gradually with the deepening of sleep, and in the rapid eye movement (REM) stage, the scaling exponents decreased. The scaling exponents of SAS group were significantly higher than those of the healthy group. The performance of SAS diagnosis based on scaling exponents was evaluated with receiver operator characteristic (ROC) curve. The optimal threshold value 0.81 for the SAS and normal control were obtained, corresponding to the sensitivity 94.4%, specificity 99.2%, and area under curve (AUC) was 0.994. The results show that DFA scaling exponents have a good discrimination power and accuracy for the SAS, which provide a new theoretical basis for SAS diagnosis.
The peak period of cardiovascular disease (CVD) is around the time of awakening in the morning, which may be related to the surge of sympathetic activity at the end of nocturnal sleep. This paper chose 140 participants as study object, 70 of which had occurred CVD events while the rest hadn’t during a two-year follow-up period. A two-layer model was proposed to investigate whether hypnopompic heart rate variability (HRV) was informative to distinguish these two types of participants. In the proposed model, the extreme gradient boosting algorithm (XGBoost) was used to construct a classifier in the first layer. By evaluating the feature importance of the classifier, those features with larger importance were fed into the second layer to construct the final classifier. Three machine learning algorithms, i.e., XGBoost, random forest and support vector machine were employed and compared in the second layer to find out which one can achieve the highest performance. The results showed that, with the analysis of hypnopompic HRV, the XGBoost+XGBoost model achieved the best performance with an accuracy of 84.3%. Compared with conventional time-domain and frequency-domain features, those features derived from nonlinear dynamic analysis were more important to the model. Especially, modified permutation entropy at scale 1 and sample entropy at scale 3 were relatively important. This study might have significance for the prevention and diagnosis of CVD, as well as for the design of CVD-risk assessment system.
Sleep apnea syndrome (SAS) is a kind of common and harmful systemic sleep disorder. SAS patients have significant iconography changes in brain structure and function, and electroencephalogram (EEG) is the most intuitive parameter to describe the sleep process which can reflect the electrical activity and function of brain tissues. Based on the non-stationary and nonlinear characteristics of EEG, this paper analyzes the correlation dimension of sleep EEG in patients with SAS. Six SAS patients were classed as SAS group and six healthy persons were classified into a control group. The results showed that the correlation dimension of sleep EEG in the SAS group and the control group decreased gradually with the deepening of sleep, and then increased to the level of awake and light sleep stage with rapid eye movement (REM). The correlation dimension of SAS group was significantly lower than that of control group (P<0.01) throughout all the stages. The results suggested that there were significant nonlinear dynamic differences between the EEG signals of SAS patients and of healthy people, which provided a new direction for the study of the physiological mechanism and automatic detection of SAS.
ObjectiveTo observe the impact of obstructive sleep apnea-hyponea syndrome (OSAHS) on the severity of pulmonary thromboembolism (PTE) and its treatment strategies.
MethodsPTE patients hospitalized in our department between January 2006 and December 2012 were screened for this study, including 16 patients with OSAHS and 20 patients without OSAHS, and the difference in clinical characteristics such as arterial blood gas, apnea-hypopnea index, lowest pulse oxygen saturation (LSpO2) and treatment methods were analyzed and compared between the two groups.
ResultsAs compared to PTE patients without OSAHS, the age of patients was lower[(53.4±12.1), (64.5±9.8) years; P=0.005], while body mass index[(29.3±2.2), (26.1±3.3) kg/m2, P=0.002] and smoking index (150±24, 101±18; P<0.001) were higher in PTE patients with OSAHS. Additionally, significantly lower LSpO2[(71.7±8.3), (79.4±7.1) mm Hg (1 mm Hg=0.133 kPa); P=0.005] and more lung segments (8±3, 5±2; P=0.001) were involved in PTE patients with OSAHS. In this cohort, all patients received anticoagulation and/or thrombolysis treatment, but the rate of continuous positive airway pressure (CPAP) ventilation application was significantly higher in PTE patients with OSAHS.
ConclusionPTE patients with OSAHS have relatively lower age but serious condition, and both anticoagulation and CPAP should be used in the clinical treatment.
Sleep is a complex physiological process of great significance to physical and mental health, and its research scope involves multiple disciplines. At present, the quantitative analysis of sleep mainly relies on the “gold standard” of polysomnography (PSG). However, PSG has great interference to the human body and cannot reflect the hemodynamic status of the brain. Functional near infrared spectroscopy (fNIRS) is used in sleep research, which can not only meet the demand of low interference to human body, but also reflect the hemodynamics of brain. Therefore, this paper has collected and sorted out the related literatures about fNIRS used in sleep research, concluding sleep staging research, clinical sleep monitoring research, fatigue detection research, etc. This paper provides a theoretical reference for scholars who will use fNIRS for fatigue and sleep related research in the future. Moreover, this article concludes the limitation of existing studies and points out the possible development direction of fNIRS for sleep research, in the hope of providing reference for the study of sleep and cerebral hemodynamics.
