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 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.
Objective To explore the diagnosis and treatment of critically ill patients suffering from obstructive sleep apnea-hypopnea syndrome ( OSAHS) . Methods Critically ill patients with OSAHS admitted in intensive care unit from January 2003 to December 2007 were retrospectively analyzed. Results Seventy-nine critically ill patients were diagnosed as OSAHS. The initial diagnosis of OSAHS was made by history requiring, physical examination, and Epworth sleepiness score evaluation. The final diagnosis was comfirmed by polysomnography thereafter. Base on the treatment of primary critical diseases, the patients were given respiratory support either with continuous positive airway pressure ( CPAP) or with bi-level positive airway pressure ventilation ( BiPAP) . Two cases died and the remaining 77 patients were cured anddischarged. Conclusions Timely diagnosis of OSAHS is important to rescue the critically ill patients. Respiratory support combined with treatment of primary critical diseases can improve the outcomes of these patients.
ObjectiveTo analyze the causal relationship between obstructive sleep apnea (OSA) with its typical symptoms (daytime sleepiness and snoring) and cardiovascular diseases (hypertension, coronary heart disease, myocardial infarction, heart failure) by using Mendelian randomization. MethodsWe used the instrumental variables (IV) in the FINNGen database and the UK Biobank to perform two-sample Mendelian randomization (TSMR) analysis. The results of random-effects inverse variance weighting method (IVW) were the main results. MR-Egger method was used for pleiotropic analysis and sensitivity analysis was performed by the leave-one-out method to verify the reliability of the data. ResultsOSA could lead to hypertension (IVW β=0.043, 95%CI 0.012 to 0.074, P=0.006) and heart failure (IVW β=0.234, 95%CI 0.015 to 0.452, P=0.036). Daytime sleepiness also had a pathogenic effect on heart failure (IVW β=1.139, 95%CI 0.271 to 2.006, P=0.010). There was no causal association between OSA and CHD or MI, snoring and the four CVDs. There was no causal association between daytime sleepiness and hypertension, CHD or MI.ConclusionOSA and daytime sleepiness have pathogenic effects on hypertension and heart failure, with heart failure being the most affected.
ObjectiveTo explore the association between the ZJU index and obstructive sleep apnea hypopnea syndrome (OSAHS) and to develop a prediction model based on ZJU index. MethodsClinical data of patients diagnosed by polysomnography were retrospectively collected from January 2021 to July 2024. Participants were categorized into OSAHS and non-OSAHS groups, and the general data of the two groups were compared. Regression analysis was performed to analyze the influencing factors of OSAHS, a prediction model of OSAHS was constructed based on the ZJU index, and the diagnostic efficacy was evaluated by using the subject's work characteristics (ROC) curve and calibration curve. Rusults A total of 211 patients were included in this study, including 165 in the OSAHS group and 46 in the non-OSAHS group. The multifactorial results showed that ZJU index and gender were the influencing factors for the occurrence of OSAHS (P<0.05), and a prediction model was constructed by combining the ZJU index with gender, and the area under the ROC curve (AUC) was 0.786 (95%CI: 0.717-0.85). The sensitivity was 51.5% and the specificity was 91.3%. The calibration curve showed good agreement between predicted and actual results. ConclusionZJU index is associated with OSAHS, and the prediction model constructed by ZJU index combined with gender could be well used to predict the occurrence of OSAHS.
Sleep disorder is related to many comorbidities, such as diabetes, obesity, cardiovascular diseases, and hypertension. Because of its increasing prevalence rate, it has become a global problem that seriously threatens people’s health. Various forms of sleep disorder can cause increased insulin resistance and/or decreased sensitivity, thus affecting the occurrence, development and prognosis of diabetes. However, sleep health has not been paid attention to in recent years. Therefore, this article summarizes the findings of the correlation between sleep disorder and diabetes mellitus in recent years, by elaborating the relationship between various types of sleep disorder (including sleep apnea syndrome) and diabetes mellitus, as well as their mechanisms and intervention measures, in order to enhance the attention of clinical workers to sleep health, and to provide basis for reducing the risk of diabetes.
ObjectiveBy detecting the expression of the long non-coding RNA metastasis associated lung adenocarcinoma transcript 1 (MALAT1) in myocardial tissue under different hypoxia patterns, to explore the possible mechanism of obstructive sleep apnea (OSA)-induced cardiovascular diseases.MethodsSD rats were randomly and equally divided into 4 groups namely a normal (N) group, a continuous hypoxia (CH) group, an intermittent hypoxia (IH) group and an intermittent hypoxia with hypercapnia (IHH) group, and were treated for 1, 2, and 3 weeks. The expression of MALAT1 and associated immune factors of the myocardial tissue were examined by qRT-PCR.ResultsAn elevation without significance was observed in those three hypoxia groups in contrast with N group after 1 week’s treatment. However, in 2 and 3 weeks’ groups, the mRNA expression of MALAT1 was significantly higher in IHH group than the other three groups (all P<0.01), while there was no significant difference among IH, CH or N groups despite an increasing tendency in IH and CH groups against N group were observed. Additionally, the expressions of hypoxia inducible factor-1α (P<0.05), Toll-like receptor 4 (P<0.01) and interleukin-6 (P<0.05) mRNA were also increased significantly in IHH group compared with IH, CH and IHH groups in 3 weeks’ treatment respectively, which were coordinated with the change of MALAT1 mRNA.ConclusionsThe expression of MALAT1 in myocardial tissue is elevated by intermittent hypoxia with hypercapnia, and the tendency is similar with hypoxia-induced inflammation factors. These findings indicate that MALAT1 is probably a regulatory factor of OSA induced myocardial immune injury.
ObjectiveTo systematically review the association between the level of plasma YKL-40 and obstructive sleep apnea hypopnea syndrome (OSAHS).MethodsWe searched PubMed, EMbase, MEDLINE, CNKI, WanFang Data, VIP database and supplemented by Google academic retrieval to collect case-control studies about the association between the level of plasma YKL-40 and OSAHS from inception to April 2017. Two reviewers independently screened literature, extracted data and evaluated the risk of bias of included studies. And then, meta-analysis was performed by RevMan 5.3 software.ResultsA total of 5 case-control studies were included, involving 755 OSAHS patients and control population. The results of meta-analysis showed that the level of plasma YKL-40 in OSAHS patients was higher than that in control group (SMD=1.20, 95%CI 0.33 to 2.06, P=0.007). The subgroup analysis showed that the level of plasma YKL-40 in OSAHS patients from Asia was significantly higher than that in control group (SMD=1.79, 95%CI 0.83 to 2.75, P=0.000 2). The comparison between different severity of OSAHS showed that the wild-medium group had lower plasma level of YKL-40 than the severe group (SMD=–0.83, 95%CI –1.46 to –0.19, P=0.01).ConclusionYKL-40 may play an important role in the pathogenesis of OSAHS. Due to limited quantity and quality of the included studies, more high quality studies are needed to verify above conclusions.
ObjectiveTo observe the relationship of serum tumor necrosis factor α (TNF-α), interleukin 6 (IL-6), and C-reactive protein (CRP) with obstructive sleep apnea hypopnea syndrome (OSAHS) associated pulmonary hypertension (OSAHS-PH). MethodsFrom September 2013 to October 2014, 38 OSAHS patients, 32 OSAHS-PH patients and 35 healthy subjects were enrolled from the General Hospital of Ningxia Medical University. OSAHS was diagnosed by polysomnography. The pulmonary artery systolic pressure (PASP) was measured by echocardiograph, and the diagnose criteria for pulmonary hypertension was PASP≥40 mm Hg. Serum TNF-α, IL-6, CRP and endothelin 1 (ET-1) were detected by enzyme-linked immunosorbent assay. The correlation between TNF-α, IL-6, CRP, ET-1 and PASP was analyzed. ResultsThe serum levels of TNF-α, IL-6, CRP and ET-1 were remarkably different among three groups (F=55.34, 25.05, 23.85, 34.06 respectively; all P < 0.05). The levels of TNF-α, IL-6, CRP and ET-1 in the OSAHS group were higher than those in the healthy group, and lower than those in the OSAHS-PH group (all P < 0.05). The PASP was positively correlated with the levels of the four factors (r=0.755, 0.762, 0.747, 0.759 respectively; all P < 0.01). ConclusionThe levels of serum TNF-α, IL-6 and CRP are correlated with pulmonary hypertension and they may be involved in the process of OSAHS-PH.
Objective To explore the relationship between obstructive sleep apnea hypopnea syndrome ( OSAHS) and airway hyperresponsiveness ( AHR) . Methods 197 subjects suspected for OSAHS were enrolled in the study. They were all performed overnight polysomnogram ( PSG) monitoring and lung function test. Acoording to the results of FEV1% pred, they were performed bronchial provocation test( BPT)or brochial dilation test( BDT) . The relation between apnea hypopnea index ( AHI) and the degree of airway hyperresponsiveness ( AHR, expressed as PD20 -FEV1 ) was evaluated by linear correlation analysis. Results 117 patients were diagnosed as OSAHS, in which 28 cases were complicated with AHR( 3 cases with positive BDT result, 25 cases with AHR) . In 80 non-OSAHS patients, 7 cases were complicated with AHR. Theincidence of AHR was higher in the OSAHS patients compared with the non-OSAHS patients( 23. 9% vs 8. 8% , P lt; 0. 01 ) . AHI of OSAHS patients with AHR was higher than OSAHS patients without AHR[ ( 30. 3 ±5. 1) /h vs ( 23. 7 ±2. 4) /h, P lt;0. 01] . There was a positive correlation between AHI and degree of AHR in OSAHS patients with AHR( r=0. 62, P lt;0. 05, n=25) . Conclusion OSAHS is associated with an increased risk of AHR.