Objective To investigate the correlation between serum level of visfatin and obesity in patients with obstructive sleep apnea hypopnea syndrome ( OSAHS) . Methods Forty-seven patients with OSAHS and 20 healthy controls were recruited in this study. Polysomnography was performed in all subjects to detect apnea-hypopnea index ( AHI) . The serumlevels of cisfatin, C-reactive protein ( CRP) , TNF-α, and IL-6 were measured by enzyme linked immunosorbent assay. The body mass inex ( BMI) was calculated.The level of cisfatin was compared between the OSAHS patients with different severity and the controls, and its relationship with the levels of AHI, BMI, CRP, TNF-α, and IL-6 was analyzed. Results The serumlevel of visfatin in the OSAHS patients was higher significantly than that in the controls ( P lt;0. 01) and increased by the severity of OSAHS. There were positive correlations between the serum level of visfatin and AHI,BMI, CRP, TNF-α, IL-6 in the OSAHS patients ( P lt;0. 05) . Conclusion The expression of visfatin may play an important role in the pathogenesis of 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.
Objective To investigate the effect of angiopoietin-like protein 3 (ANGPTL3) on lipid metabolism in patients with obstructive sleep apnea (OSA). Methods A total of 59 OSA patients and 20 healthy controls from the First Affiliated Hospital of Zhengzhou University between May 2023 and February 2024 were included in the study. All participants underwent overnight polysomnography (PSG). Based on the apnea-hypopnea index (AHI), the OSA patients were divided into a mild group and a moderate-to-severe group. Morning blood samples were collected after an 8-hour fast to measure lipid profiles and ANGPTL3 levels. Statistical analyses were performed using SPSS 25.0 software. Results The levels of total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), and ANGPTL3 were significantly higher, while high-density lipoprotein cholesterol (HDL-C) was significantly lower in the OSA group compared with the control group (P<0.05). ANGPTL3 level was higher in the moderate-to-severe OSA group than that in the mild OSA group and the control group, and higher in the mild OSA group than that in the control group (P<0.05). In the severe hypoxemia group, ANGPTL3 level was significantly higher than that in the mild-to-moderate hypoxemia group (P<0.05). The ANGPTL3 level was also significantly higher in the hyperlipidemia group compared wiht the non-hyperlipidemia group (P<0.05). In the OSA group, ANGPTL3 was positively correlated with TC, TG, percentage of cumulative time with oxygen saturation below 90% in total sleep time (T90) and oxygen desaturation index (ODI), and negatively correlated with lowest arterial oxygen saturation (LSaO2) and mean arterial oxygen saturation (MSaO2). After adjusting for relevant confounding factors, logistic regression analysis indicated that ANGPTL3 might be a potential independent risk factor for OSA, with an odds ratio of 1.021 (95%CI 1.002 - 1.040). Conclusions The level of ANGPTL3 is elevated in OSA patients. The elevation of blood lipid levels in OSA patients may be associated with chronic intermittent hypoxia-induced regulation of ANGPTL3 levels.
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.
ObjectiveTo Affiliated systematically review the efficacy of continuous positive airway pressure (CPAP) for resistant hypertension (RH) patients with obstructive sleep apnea (OSA). MethodsWe electronically searched databases including PubMed, EMbase, The Cochrane Library (Issue 10, 2015), CBM, CNKI and WanFang Data from inception to March 2016, to collect randomized controlled trials (RCTs) about CPAP for RH patients with OSA. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies. Then, meta-analysis was performed using RevMan 5.3 software. ResultsA total of 5 RCTs involving 395 patients were included. The results of meta-analysis showed that: After 3 months of follow-up, compared with the antihypertensive drug therapy alone, CPAP plus antihypertensive drug therapy could significantly reduce the 24 h diastolic blood pressure (DBP), day DBP, night DBP, 24 h diastolic blood pressure (SBP) and night SBP of RH patients with OSA (MD=-4.79, 95%CI -7.39 to -2.18, P=0.000 3; MD=-2.94, 95%CI -4.99 to -0.89, P=0.005; MD=-3.19, 95%CI -5.84 to -0.55, P=0.02; MD=-4.36, 95%CI -7.38 to -1.33, P=0.005; MD=-4.90, 95%CI -8.72, -1.08, P=0.01), but there was no significant difference between the two groups in day SBP. After 6 months of follow-up, compared with the antihypertensive drug therapy alone, CPAP plus antihypertensive drug therapy could significantly reduce the 24 h DBP, day DBP of RH patients with OSA (MD=-4.89, 95%CI -6.76 to -3.02, P<0.000 01; MD=-5.01, 95%CI -9.58 to -0.45, P=0.03), but there were no significant differences between the two groups in night DBP, 24 h SBP, day SBP, and night SBP. ConclusionCurrent evidence suggests that CPAP on the basis of antihypertensive drug therapy could effectively reduce the DBP and SBP of RH patients with OSA at short-term follow-up, but the long-term effect on SBP is not obvious. Due to limited quality and quantity of the included studies, the above conclusions need to be verified by more high quality studies.
In order to promote the clinical diagnosis and treatment of obstructive sleep apnea (OSA) in Chinese children, it is urgent to construct evidence-based guidelines. The protocol and a formal version of the “Chinese guideline for Diagnosis and Treatment of Obstructive Sleep Apnea in Children” will be drawn up by referring to the “World Health Organization Guidelines Development Manual”. This protocol mainly introduces development methodology and process of guideline, including the significance, purpose, target population, users, members of the designated group, collection and determination of clinical problems and outcome indicators, evidence acquisition, evaluation and synthesis, the generation of recommendations and so on.
Objective To explore the difference between the hemorheology levels and the expression of hypoxia inducible factor 1α/2α (HIF-1α/2α) in the peripheral blood mononuclear cells of the Tibetan and Han patients with obstructive sleep apnea hypopnea syndrome (OSAHS). Methods This research recruited 30 high-risk Tibetan and Han patients with OSAHS, and 30 Tibetan and Han healthy volunteers at the same period. The whole blood viscometer was used to detect the high shear rate of whole blood viscosity, low shear rate of whole blood viscosity, plasma viscosity ratio, red blood cell aggregation index, and hematocrit in each group. RT-qPCR and Western blot assays were used to detect the mRNA and protein levels of phosphoinositide 3-kinase (PI3K), serine/threonine kinase (AKT), nuclear factor-κB (NF-κB) p65, HIF-1α and HIF-2α in peripheral blood mononuclear cells. Results The hemorheology level of Tibetan OSAHS patients was significantly higher than that of healthy Tibetans and Han OSAHS patients (P<0.05), and the hemorheology level of Han OSAHS patients was significantly higher than that of Han healthy people (P<0.05) . The mRNA and protein levels of PI3K, AKT, NF-κB p65 and HIF-1α in the peripheral blood mononuclear cells of Tibetan OSAHS patients were significantly higher than those of the healthy Tibetans or Han people, and these indexes of the Han OSAHS patients were significantly higher than those of the Han healthy people (all P<0.05), while HIF-2α mRNA and protein levels were significantly lower than those of healthy Han people (all P<0.05). Conclusion The upregulation of HIF-1α level and downregulation of HIF-2α expression in peripheral blood mononuclear cells of OSAHS patients depend on the activation of the PI3K/AKT/NF-κB p65 signaling pathway, and the hemorheological level of Tibetan OSAHS patients is higher than that of Han OSAHS patients.
Objective To study the relationships among health-related quality of life( HRQL) ,social support, excessive daytime sleepiness ( EDS) and PSG parameters in patients with obstructive sleep apnea-hypopnea syndrome ( OSAHS) . Methods Eighty-five patients were recruited who were diagnosed as OSAHS by overnight polysomnography from August 2007 through November 2007 in West China Hospital.The Calgary sleep apnea quality of life index ( SAQLI) was used for HRQL, social support rating scale ( SSRS) was used for social support, and Epworth sleepiness scale( ESS) was used for EDS. The Pearson linear correlation and stepwise multiple regression analysis were used to analyze the correlation among SAQLI, SSRS, ESS, and PSG. Results The SAQLI was correlated with SSRS score ( r =0. 402, P lt;0. 01) ;ESS score ( r = - 0. 505, P lt;0. 01) ; apnea-hypopnea index ( AHI) ( r = - 0. 269, P lt; 0. 05) and lowest artery oxygen saturation ( LSaO2) ( r = 0. 226, P lt; 0. 05) . Stepwise multiple regression analysis determined two variables, the SSRS and ESS score, as independent factors for predicting the total score of SAQLI which accounted for 37. 3% of the total variance in the total score on SAQLI ( R2 = 0. 373, P lt; 0.001) .Conclusions The HRQL of patients with OSAHS was correlated with the SSRS score, ESS score and PSG parameters. The former two were the more important factors to affect the HRQL of patients with OSAHS.
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.
Objective To evaluate the value of Epworth sleepiness scale ( ESS) in evaluating the severity of obstructive sleep apnea hypopnea syndrome ( OSAHS) . Methods A total of 340 cases with suspected OSAHS were enrolled. The ESS scores and polysomnography ( PSG) monitoring data were analyzed. According to the PSG monitoring results the patients were classified into non-OSAHS, mild, moderate and severe OSAHS groups. The average ESS scores and the ratio of patients whose ESS score was ≥9 were compared among the four groups. The diagnostic value of ESS score was evaluated by ROC curve. The correlation of ESS scores with age, apnea hypopnea index ( AHI) , the lowest SpO2( LSpO2 ) and microarousal index was analyzed. Results The ESS scores had an ascending tendency as the severity of OSAHS was increased but only in the severe OSAHS cases the difference was significant statistically compared with the other three groups ( P lt; 0. 05) . The mean ESS scores in the four groups were 9. 96 ± 4. 81,10. 21 ±5. 48, 11. 48 ±5. 28 and 13. 52 ±5. 84, respectively. There was no statistical significance while comparing the ratio of patients whose ESS scores were ≥9 among the four groups. The analysis of ROC curve showed the area under the ROC curve ( AUC) was lesser( 0. 601) and a best cutoff could not be obtained. When ESS score ≥9 was made as the cutoff in screening OSAHS patients the sensitivity was 70. 0% and the misdiagnosis rate was 63. 21% . The ESS scores had positive correlation with the apnea hypopnea index ( AHI)( r =0. 240, P lt; 0. 01) and negative correlation with LSpO2 ( r = - 0. 198, P lt;0. 01) . The ESSscores had no correlation with age or the microarousal index ( P gt; 0. 05) . Conclusions The ESS score has some significance in screening severe OSAHS patients but can not exactly reflect the severity of OSAHS patients among Chinese population, suggesting ESS score has limited value in the evaluation of OSAHS severity. The ESS score ≥9 as a cutoff is not a reliable parameter to estimate the severity of OSAHS. A more effective scoring system need to be established for better screening of OSAHS patients.