ObjectiveTo investigate the relationship between glucose metabolism and endocannabinoid system (ECS) in patients with obstructive sleep apnea-hypopnea syndrome (OSAHS).MethodsA total of 64 OSAHS patients (18 cases of mild OSAHS, 24 cases of moderate OSAHS, 22 cases of severe OSAHS) and 24 controls were included in the study. Body mass index, waist circumference, fasting blood lipids, fasting blood glucose, fasting blood insulin, homeostasis model of assessment for insulin resistance index (HOMA-IR), polysomnography and endogenous cannabinoid receptor 1 (CB1R) protein expression levels in peripheral blood mononuclear cells (PBMC) were measured in participants.ResultsThe incidence of diabetes and impaired fasting glucose (IFG) in the OSAHS group was significantly higher than that in the control group (28.12% vs. 8.33%). With the increase of apnea hypopnea index (AHI), HOMA-IR and the expression levels of CB1R protein increased gradually (HOMA-IR: 2.40±0.90, 2.34±0.59, 2.94±0.99, 3.46±0.77, respectively; CB1R protein: 0.04±0.01, 0.37±0.09, 0.40±0.07, 0.62±0.14, respectively). Correlation analysis showed that HOMA-IR, AHI and the expression of CB1R protein were significantly positively correlated with each other (P<0.05).ConclusionOSAHS patients are prone to insulin resistance, IFG and diabetes mellitus, which are closely related to the activation of ECS induced by OSAHS.
The existing automatic sleep staging algorithms have the problems of too many model parameters and long training time, which in turn results in poor sleep staging efficiency. Using a single channel electroencephalogram (EEG) signal, this paper proposed an automatic sleep staging algorithm for stochastic depth residual networks based on transfer learning (TL-SDResNet). Firstly, a total of 30 single-channel (Fpz-Cz) EEG signals from 16 individuals were selected, and after preserving the effective sleep segments, the raw EEG signals were pre-processed using Butterworth filter and continuous wavelet transform to obtain two-dimensional images containing its time-frequency joint features as the input data for the staging model. Then, a ResNet50 pre-trained model trained on a publicly available dataset, the sleep database extension stored in European data format (Sleep-EDFx) was constructed, using a stochastic depth strategy and modifying the output layer to optimize the model structure. Finally, transfer learning was applied to the human sleep process throughout the night. The algorithm in this paper achieved a model staging accuracy of 87.95% after conducting several experiments. Experiments show that TL-SDResNet50 can accomplish fast training of a small amount of EEG data, and the overall effect is better than other staging algorithms and classical algorithms in recent years, which has certain practical value.
This study seeks to explore the early signs of cognitive impairment in patients with obstructive sleep apnea hypopnea syndrome (OSAHS). According to polysomnography, twenty patients diagnosed with OSAHS and twenty normal controls underwent event-related potential (ERP) examination including mismatch negativity (MMN) and P300. Compared with normal controls, OSAHS patients showed significantly prolonged latency of MMN and P300 at Cz. After controlling age and body mass index (BMI), MMN latency positively correlated with apnea hypopnea index (AHI), oxygen reduction index, stage N1 sleep and arousal index, while MMN latency negatively correlated with stage N3 sleep and mean blood oxygen saturation; and P300 latency positively related to AHI and oxygen reduction index; no relationships were found among MMN latency, MMN amplitude, P300 latency and P300 amplitude. These results suggest that the brain function of automatic processing and controlled processing aere impaired in OSAHS patients, and these dysfunction are correlated with nocturnal repeatedly hypoxemia and sleep structure disturbance.
Objective To investigate the implication of oxidation protein product ( advanced oxidation protein product, AOPP) , an index of oxidative stress in obstructive sleep apnea-hypopnea syndrome ( OSAHS) . Methods 47 patients with OSAHS and 48 normal controls were enrolled. The concentration of AOPP was measured by spextrophotometry after ameliorated, while superoxide ( SOD) , malonaldehyde ( MDA) , glutathione peroxidase ( GSH-PX) in morning blood samples were detected by Xanthine oxidase test. Results ( 1) Plasma AOPP and MDA were significantly elevated in OSAHS compared with those in control group ( both P lt;0. 01) . Plasma SOD and GSH-PX were significantly lower in OSAHS compared with those in control group ( both P lt;0. 01) . There were significant differences in the plasma AOPP, MDA, SODand GSH-PX among different severity of OSAHS ( all P lt; 0. 01) . Plasma AOPP and MDA were increased and SOD and GSH-PX were gradually decreased with the progression of OSAHS. ( 2) Plasma AOPP correlated well with MDA, SOD and GSH-PX, moreover, AOPP was positively correlated with apnea hyponea index or lowest oxygen saturation. Conclusion AOPP is an alternative index reflecting both oxidative streess and tissue injury in patients with OSAHS.
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.
ObjectiveTo investigate the psychology and sleep statuses of liver transplantation recipients during the outbreak of COVID-19.MethodsCluster sampling was used to investigate the patients who underwent liver transplantation in the West China Hospital of Sichuan University from January to February 2020. The psychology and sleep statuses were evaluated by the self-designed questionnaire, State-Trait Anxiety Inventory (SAI), Center for Epidemiological Studies Depression Scale (CES-D), and Pittsburgh sleep quality index (PSQI).ResultsTwenty-seven liver transplantation recipients were included in this study. The questionnaires of the 27 patients were collected. The SAI score was (46.41±8.77); The score of CES-D was (13.11±7.87), there were 2 (7.4%) patients with depression; The PSQI score was (6.44±4.02), there were 7 (25.9%) patients with sleep disorders. The points of anxiety and depression of the patients with different gender, age, education level, marital status, residence, living conditions, primary disease, Child-Pugh classification, whether suffered SARS epidemics, COVID-19 knowledges level, medical insurance, family annual income per capita, and income and expenditure of cash had no significant differences (P>0.05) during the outbreak of COVID-19. However, the points of patients with male or suffered SARS or the family annual income per capita ≥60 000 yuan were higher than those of patients with female or not-suffered SARS or the family annual income per capita <60 000 yuan (P<0.05).ConclusionsAnxiety and sleep disorder of liver transplantation recipients are common during the outbreak of COVID-19, which could not be ignored. Knowledges of COVID-19 should be paid to spread so as to reduce psychological pressure and improve sleep quality.
ObjectiveTo analyze the the characteristics of pulse oximetry (SpO2) curve changes in patients with obstructive sleep apnea (OSA), hypoxic parameters and to explore the difference and connection between obstructive apnea (OA) events and hypopnea (Hyp) events, evaluate the impact of different types of obstructive respiratory events on hypoxia, and provide a theoretical basis for exploration of hypoxic differences in each type of respiratory events and construction of prediction models for respiratory event types in the future. MethodsSixty patients with OSA diagnosed by polysomnography (PSG) were selected for retrospective analysis, and all respiratory events with oxygen drop in the recorded data overnight were divided into OA group (5972) according to the type of events and Hyp group (4110), recorded and scored events were exported from the PSG software as comma-separated variable (.csv) files, which were then imported and analyzed using the in-house built Matlab software. Propensity score matching was performed on the duration of respiratory events and whether they were accompanied by arousal in the two groups, and minimum oxygen saturation of events (e-minSpO2), the depth of desaturation (ΔSpO2), the duration of desaturation and resaturation (DSpO2), the duration of desaturation (d.DSpO2), duration of resaturation (r.DSpO2), duration of SpO2<90% (T90), duration of SpO2<90% during desaturation (d.T90), duration of SpO2<90% during resaturation (r.T90), area under the curve of SpO2<90% (ST90), area under the curve of SpO2<90% during desaturation (d.ST90), area under the curve of SpO2<90% during resaturation (r.ST90), oxygen desaturation rate (ODR) and oxygen resaturation rate (ORR), a total of 13 hypoxic parameters differences. ResultsVarious hypoxic parameters showed that more severe SpO2 desaturation in severe OSA patients, compared with mild and moderate OSA patients (P<0.05); There were statistically significant differences in the respiratory events duration and whether accompanied by arousal between the Hyp group and OA group (P<0.05), and the respiratory events duration and whether accompanied by arousal were significantly correlated with most hypoxic parameters; After accounting for respiratory events duration and whether accompanied by arousal by propensity score matching, compared with the Hyp group, e-minSpO2 was significantly lower in the OA group, ΔSpO2, d.DSpO2, r.DSpO2, ODR, ORR, T90, d.T90, r.T90, ST90, d.ST90, r.ST90 were significantly increased (P<0.05). ConclusionsDue to pathophysiological differences, all hypoxic parameters suggest that OA events will result in a more severe desaturation than Hyp events. Clinical assessment of OSA severity should not equate OA with Hyp events, which may cause more damage to the organism, establishing a basis for applying nocturnal SpO2 to automatically identify the type of respiratory event.
【Abstract】 Objective To study the effects of obstructive sleep apnea hypopnea syndrome ( OSAHS) on blood pressure variations, and explore the possible mechanism. Methods 84 adult patients ( mean age 50. 1 ±14. 8 years, male /female 67 /17) were recruited for polysomnography ( PSG) and ambulatory blood pressure monitoring. Four groups were identified based on apnea hyponea index ( AHI) ,ie. non-OSAHS group ( n=9) ,mild group ( n=19) , moderate group ( n=23) , and severe group ( n =33) .The blood pressure levels were compared among the four groups. Correlations between PSG indexes,variations of systolic blood pressure ( SBP) and diastolic blood pressure ( DBP) were analyzed. Results Inter-group blood pressure comparison showed significant differences in SBP and DBP( P lt;0. 05) , except forthe mild and the moderate OSAHS patients. As compared with the non-OSAHS patients, SBP for those with severe OSAHS was about 15 mm Hg higher, and DBP 10 mm Hg higher. Observation on SBP non-dipping rate indicated that, except for the mild and the moderate OSAHS patients where no significant differences were found, SBP non-dipping rate increased with the severity of OSAHS( the rates were 78. 3%, 57. 1% ,54. 5%, and 32. 6% , respectively for the four groups) , whereas DBP non-dipping rate significantly increased in the severe OSAHS patients( 54. 3% ) ( P lt;0. 05) . For the mild OSAHS patients, blood pressure was found to be correlated positively with the body mass index ( correlation coefficient for day time SBP was 0. 26, and for DBP was 0. 22) , the arousal index ( correlation coefficient for day time SBP was 0. 25, and for DBP was 0. 17) , and heart rate variation ( correlation coefficient for night time SBP was 0. 18, and for DBP was 0. 17) . For the moderate OSAHS patients, a positive correlation was also found between blood pressure and AHI ( correlation coefficient for day time SBP was 0. 31, and for DBP was 0. 22, correlation coefficient fornight time SBP was 0. 26) , and between blood pressure and the longest hypopnea time during sleep ( LH) ( correlation coefficient for night time DBP was 0. 2) . For the severe OSAHS patients, blood pressure was correlated positively with apnea index ( AI) ( correlation coefficient for day time SBP was 0. 61, and for DBP was 0. 5, correlation coefficient for night time SBP was 0. 57 and for night time DBP was 0. 48) . Conclusions OSAHS has ber impact on SBP than on DBP. DBP hypertension and SBP non-dipping are usually found in early OSAHS-affected patients. Factors affecting blood pressure differ with the severity of the OSAHS.
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 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.