Obstructive sleep apnea syndrome (OSAS), a prevalent sleep disorder in children, is characterized by recurring upper airway obstruction during sleep. OSAS in children can cause intermittent hypoxia and sleep fragmentation, ultimately affect brain development and further lead to cognitive impairment if lack of timely effective intervention. In recent years, magnetic resonance imaging (MRI) and electroencephalogram (EEG) have been employed to investigate brain structure and function abnormalities in children with OSAS. Previous studies have indicated that children with OSAS showed extensive gray and white matter damage, abnormal brain function in regions such as the frontal lobe and hippocampus, as well as a significant decline in general cognitive function and executive function. However, the existing studies mainly focused on the regional activity, and the mechanism of pediatric OSAS affecting brain networks remains unknown. Moreover, it's unclear whether the alterations in brain structure and function are associated with their cognitive impairment. In this review article, we proposed two future research directions: 1) future studies should utilize the multimodal neuroimaging techniques to reveal the alterations of brain networks organization underlying pediatric OSAS; 2) further investigation is necessary to explore the relationship between brain network alteration and cognitive dysfunction in children with OSAS. With these efforts, it will be promising to identify the neuroimaging biomarkers for monitoring the brain development of children with OSAS as well as aiding its clinical diagnosis, and ultimately develop more effective strategies for intervention, diagnosis, and treatment.
Humans ; Child ; Sleep Apnea, Obstructive/complications* ; Cognition ; Hypoxia/complications* ; Hippocampus ; Frontal Lobe

Objective: To investigate the relationship between obstructive sleep apnea (OSA), apnea hypopnea index (AHI) and vascular injury in hypertensive patients. Methods: This cross-sectional study enrolled patients admitted to the Hypertension Department of TEDA International Cardiovascular Hospital from April 2020 to April 2023, who finished portable sleep monitoring. Sleep monitoring indicators, flow-mediated vasodilation (FMD), carotid artery ultrasound, carotid intima-media thickness, cervical and femoral pulse wave conduction velocity (cfPWV), brachial and ankle pulse wave conduction velocity (baPWV) were analyzed. OSA was classified into mild (5 times/h≤AHI<15 times/h), moderate (15≤AHI<30 times/h), and severe (AHI≥30 times/h) based on AHI levels. FMD<6.0% was defined as vascular endothelial injury, and cfPWV>10 m/s and/or baPWV>18 m/s was defined as arterial stiffness. Multivariate logistic regression analysis was used to explore the correlation between AHI, OSA severity and vascular injury, and subgroup analysis was performed in young (age≤45 years) and middle-to-old patients (age>45 years). Sensitivity analysis was performed by excluding patients with diabetes, cerebrovascular disease and coronary heart disease. The correlation between AHI and vascular injury index was analyzed by restricted cubic spline. Results: A total of 555 adult hypertensive patients were included, the mean age was (39.7±9.2) years, 422 were males (76.0%), and the prevalence of OSA was 66.7% (370/555). Multivariate logistic regression analysis showed that moderate OSA (OR=2.83, P=0.019) and severe OSA (OR=3.40, P=0.016) were positively correlated with vascular endothelial injury after adjusting for age, sex, body mass index and mean arterial pressure. Subgroup analysis showed that log AHI (OR=1.99, P=0.035), moderate OSA (OR=4.83, P=0.010) and severe OSA (OR=4.64, P=0.015) were associated with vascular endothelial injury in young hypertensive patients. The results of sensitivity analysis were similar to the above results. The results of restricted cubic spline analysis showed that AHI was correlated with FMD (P=0.022), and the slope of the curve was the largest when AHI was between 0 and 10 times/h. There was no correlation between log AHI and OSA severity and carotid intima-media thickening and arterial stiffness (all P<0.05). Conclusions: OSA is associated with vascular endothelial injury in hypertensive patients, especially in young patients.
Male ; Humans ; Adult ; Middle Aged ; Female ; Carotid Intima-Media Thickness ; Vascular System Injuries ; Cross-Sectional Studies ; Hypertension/complications* ; Sleep Apnea, Obstructive/complications* ; Carotid Arteries ; Vascular Stiffness

Objective: To investigate the relationship between obstructive sleep apnea (OSA), apnea hypopnea index (AHI) and vascular injury in hypertensive patients. Methods: This cross-sectional study enrolled patients admitted to the Hypertension Department of TEDA International Cardiovascular Hospital from April 2020 to April 2023, who finished portable sleep monitoring. Sleep monitoring indicators, flow-mediated vasodilation (FMD), carotid artery ultrasound, carotid intima-media thickness, cervical and femoral pulse wave conduction velocity (cfPWV), brachial and ankle pulse wave conduction velocity (baPWV) were analyzed. OSA was classified into mild (5 times/h≤AHI<15 times/h), moderate (15≤AHI<30 times/h), and severe (AHI≥30 times/h) based on AHI levels. FMD<6.0% was defined as vascular endothelial injury, and cfPWV>10 m/s and/or baPWV>18 m/s was defined as arterial stiffness. Multivariate logistic regression analysis was used to explore the correlation between AHI, OSA severity and vascular injury, and subgroup analysis was performed in young (age≤45 years) and middle-to-old patients (age>45 years). Sensitivity analysis was performed by excluding patients with diabetes, cerebrovascular disease and coronary heart disease. The correlation between AHI and vascular injury index was analyzed by restricted cubic spline. Results: A total of 555 adult hypertensive patients were included, the mean age was (39.7±9.2) years, 422 were males (76.0%), and the prevalence of OSA was 66.7% (370/555). Multivariate logistic regression analysis showed that moderate OSA (OR=2.83, P=0.019) and severe OSA (OR=3.40, P=0.016) were positively correlated with vascular endothelial injury after adjusting for age, sex, body mass index and mean arterial pressure. Subgroup analysis showed that log AHI (OR=1.99, P=0.035), moderate OSA (OR=4.83, P=0.010) and severe OSA (OR=4.64, P=0.015) were associated with vascular endothelial injury in young hypertensive patients. The results of sensitivity analysis were similar to the above results. The results of restricted cubic spline analysis showed that AHI was correlated with FMD (P=0.022), and the slope of the curve was the largest when AHI was between 0 and 10 times/h. There was no correlation between log AHI and OSA severity and carotid intima-media thickening and arterial stiffness (all P<0.05). Conclusions: OSA is associated with vascular endothelial injury in hypertensive patients, especially in young patients.
Male ; Humans ; Adult ; Middle Aged ; Female ; Carotid Intima-Media Thickness ; Vascular System Injuries ; Cross-Sectional Studies ; Hypertension/complications* ; Sleep Apnea, Obstructive/complications* ; Carotid Arteries ; Vascular Stiffness

Atherosclerosis ; Humans ; Polysomnography ; Sleep Apnea, Obstructive/complications*

Humans ; Laryngeal Diseases/surgery* ; Larynx ; Sleep Apnea, Obstructive/complications*

OBJECTIVE: To analyze the independent risk factors of long-term ischemic stroke and establish a nomogram for predicting the long-term risks in elderly patients with obstructive sleep apnea (OSA). METHODS: This multicenter prospective cohort study was conducted from January, 2015 to October, 2017 among consecutive elderly patients (≥60 years) with newly diagnosed OSA without a history of cardio-cerebrovascular diseases and loss of important clinical indicators. The follow-up outcome was the occurrence of ischemic stroke. The baseline demographic and clinical data, sleep parameters, laboratory and ultrasound results were collected from all the patients, who were randomized into the modeling group (n=856) and validation group (n=258) at a 3∶1 ratio. LASSO regression was used for variable reduction and dimension screening, and the risk score prediction model of ischemic stroke was established based on Cox proportional hazard regression. RESULTS: In the total of 1141 patients enrolled in this study, 58 (5.08%) patients experienced ischemic stroke during the median follow-up of 42 months (range 41-54 months). The cumulative incidence of ischemic stroke was 5.14% in the model group and 4.91% in the verification group (P < 0.05). Age (HR=3.44, 95% CI: 2.38- 7.77), fasting blood glucose (FPG) (HR=2.13, 95% CI: 1.22-3.72), internal diameter of the ascending aorta (HR=2.60, 95% CI: 1.0- 4.47), left atrial anteroposterior diameter (HR=1.98, 95% CI: 1.75-2.25) and minimum oxygen saturation (LSpO₂) (HR=1.57, 95% CI: 1.20-1.93) were identified as independent risk factors for ischemic stroke (P < 0.05 or 0.01). A long-term ischemic stroke risk score model was constructed based the regression coefficient ratios of these 5 risk variables. Before and after the application of the Bootstrap method, the AUC of the cohort risk score model was 0.84 (95% CI: 0.78- 0.90) and 0.85 (95% CI: 0.78- 0.89) in the model group and was 0.83 (95% CI: 0.73-0.93) and 0.82 (95%CI: 0.72-0.90) in the verification group, respectively, suggesting a good prediction efficiency and high robustness of the model. At the best clinical cutoff point, the cumulative incidence of ischemic stroke was significantly higher in the high-risk group than in the low-risk group (P=0.021). CONCLUSION This model can help to identify high-risk OSA patients for early interventions of the risks of ischemic stroke associated with OSA.
Aged ; Humans ; Ischemic Stroke ; Middle Aged ; Prospective Studies ; Risk Factors ; Sleep ; Sleep Apnea, Obstructive/complications* ; Stroke/complications*

The incidence of obstructive sleep apnea (OSA) is higher in pregnancy than in non-pregnancy,and obesity is a major risk factor.OSA in pregnancy can lead to multiple organ dysfunction and is associated with hypertensive disorders in pregnancy,gestational diabetes mellitus,premature birth,and fetal growth restriction. Therefore,early screening and diagnosis are essential for the prevention and treatment of OSA in pregnancy.
Diabetes, Gestational ; Female ; Humans ; Obesity ; Pregnancy ; Pregnancy Complications/epidemiology* ; Premature Birth ; Risk Factors ; Sleep Apnea, Obstructive/therapy*

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.
Blood Pressure ; Blood Pressure Monitoring, Ambulatory ; Humans ; Hypertension/complications* ; Polysomnography ; Sleep Apnea, Obstructive/diagnosis*

OBJECTIVES: Obstructive sleep apnea hypopnea syndrome (OSAHS) is a chronic disease characterized by repeated episodes of apnea or hypopnea, accompanied by intermittent awakening and sleep disturbances. The incidence of OSAHS is increasing and has become a serious disease. In recent years, more and more evidence shows that OSAHS is closely related to postoperative neurocognitive disorders, and the preparation of models of postoperative cognitive impairment in intermittent hypoxia animals is an important way to study its pathogenesis and intervention targets. This study aims to explore the establishment and evaluation of the animal model of postoperative cognitive impairment in intermittent hypoxia rats. METHODS: A total of 108 male SD rats were randomly divided into 8 groups: a control group (C group, n=27), a surgery group (S group, n=27), an intermittent hypoxia 7 d group (H1 group, n=9), an intermittent hypoxia 14 d group (H2 group, n=9), an intermittent hypoxia 21 d group (H3 group, n=9), an intermittent hypoxia 7 d operation group (O1 group, n=9), an intermittent hypoxia 14 d operation group (O2 group, n=9), and an intermittent hypoxia 21 d operation group (O3 group, n=9). The rats in the H1, H2 and H3 group treated with intermittent hypoxia for 7, 14, and 21 d, respectively. The rats in the O1, O2 and O3 groups received left lateral hepatic lobectomy after 7, 14, and 21 d intermittent hypoxia, respectively. The rats in each group were subjected to open field test, new object recognition test, and Barnes Maze test. The expression of IL-1β mRNA in hippocampus of rats was detected at the 1st day after the surgery. RESULTS: Compared with the C, S, and H2 groups, the discrimination index in novel object recognition test 6 h and 1 d after the surgery of the O2 group was significantly lower (P<0.05), the latency and errors in Barnes maze at the 1st day and 2nd day after the surgery were increased significantly (P<0.05) and the expression of IL-1β mRNA in hippocampus was significantly increased at the 1st day after the operation (P<0.05). However, there was no difference in the preference index in NORT 6 h and 1 d after the surgery, the latency and errors in Barnes maze and the expression of IL-1β mRNA in hippocampus between the O1 group and the H1 group, the H3 group and the O3 group (all P>0.05). CONCLUSIONS The rate with intermittent hypoxia 14 d pretreatment with anesthesia and laparotomy could be established the animal model of postoperative cognitive impairment.
Animals ; Cognitive Dysfunction/complications* ; Disease Models, Animal ; Hypoxia ; Male ; RNA, Messenger ; Rats ; Rats, Sprague-Dawley ; Sleep Apnea, Obstructive/complications*

OBJECTIVE: To evaluate the changes of cardiac structure and function and their risk factors in elderly patients with obstructive sleep apnea syndrome (OSA) without cardiovascular complications. METHODS: Eighty-two elderly OSA patients without cardiovascular disease admitted between January, 2015 and October, 2016 were enrolled in this study. According to their apnea-hypopnea index (AHI, calculated as the average number of episodes of apnoea and hypopnoea per hour of sleep), the patients were divided into mild OSA group (AHI < 15) and moderate to severe OSA group (AHI ≥ 15). The demographic data and the general clinical data were recorded and fasting blood samples were collected from the patients on the next morning following polysomnographic monitoring for blood cell analysis and biochemical examination. Echocardiography was performed within one week after overnight polysomnography, and the cardiac structure, cardiac function and biochemical indexes were compared between the two groups. RESULTS: Compared with those with mild OSA group, the patients with moderate to severe OSA had significantly higher hematocrit (0.22±0.08 CONCLUSIONS Cardiac diastolic function impairment may occur in elderly patients with moderate or severe OSA who do not have hypertension or other cardiovascular diseases, and the severity of the impairment is positively correlated with AHI.
Aged ; Cardiovascular Diseases/etiology* ; Humans ; Risk Factors ; Severity of Illness Index ; Sleep Apnea, Obstructive/complications* ; Stroke Volume ; Ventricular Dysfunction, Left ; Ventricular Function, Left