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.
Obstructive sleep apnea hypopnea syndrome (OSAHS) can affect the growth and development of minors. Although the gold standard for OSAHS diagnosis is an overnight polysomnography, its clinical application is limited due to the high requirements for equipment and environmental conditions. Body shape indicators can reflect the accumulation of fat in specific parts of the body. In recent years, body shape indicators (body mass index, neck circumference, waist circumference, waist to hip ratio, waist to height ratio, neck circumference to height ratio) have been increasingly used in the evaluation of minor OSAHS. This article will review the application of the above body shape indicators in the evaluation of minor OSAHS, aiming to provide a basis for better use of these indicators in the diagnosis and treatment of minor OSAHS.
ObjectiveTo assess the fatigue in patients with obstructive sleep apnea hypopnea syndrome (OSAHS), and analyze the factors caused fatigue and the relationship between quality of life (QOL) and fatigue. MethodsOne hundred and sixty-nine patients with OSAHS and 78 subjects without OSAHS diagnosed by polysomnography (PSG) between December 2010 and March 2011 in West China Hospital were recruited in the study. Fatigue was assessed by using multidimensional fatigue inventory (MFI), excessive daytime sleepiness by Epworth sleepiness scale(ESS), QOL by functional outcomes of sleep questionnaire (FOSQ). ResultsFatigue in the patients with OSAHS was more severe than that of the controls (51.06±13.39 vs. 44.82±9.81, P < 0.001), but no difference was revealed in the patients with different degree of OSAHS. Fatigue was positively correlated with ESS score(r=0.210), total sleep time intervals(r=0.156), and the ratio of time of SpO2 below 90% in total sleep time(r=0.153)(P < 0.05), and was negatively correlated with the average oxygen saturation(r=-0.171, P < 0.05) and all subscales of FOSQ(P < 0.01). ConclusionsFatigue in patients with OSAHS is more severe than that of controls. Fatigue can significantly reduce QOL, and the impact is greater than that of excessive daytime sleepiness.
【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.
ObjectiveTo establish a screening model for obstructive sleep apnea hypopnea syndrome (OSAHS) through data analysis, and explore the risk factors of OSAHS. MethodsA total of 558 patients who underwent polysomnography in the Sleep Monitoring Room of Zigong Fourth People’s Hospital were recruited in the study. Among them there were 163 cases in a snore group and 395 cases in an OSAHS group. Risk factors of OSAHS were screened by both univariate analysis and multivariate analysis, then the model was established by means of binary logistic regression analysis. Finally, the screening model was evaluated by receiver operating characteristic (ROC) curve of the combined predictive factor. ResultsThe screening model of OSAHS was established as: X=–10.286+0.280×body mass index+1.057×snoring degree+1.124×sex+0.085×Epworth score+0.036×age. In this equation, sex value was 1 for men and 0 for women. If the value of X is higher than 1.123, it is likely that OSAHS would occur, and the probability (P)=ex/(1+ex). The sensitivity of the screening model was 77.70%, the specificity was 85.89%, the area under the ROC curve was 0.890, and the 95% confidence interval ranged from 0.862 to 0.918. ConclusionThis study demonstrates that a screening model based on the snoring degree, Epworth score, and body measurement data is a valuable tool to predict and screen OSAHS in patients with snoring, and the screening model could be useful in clinical diagnosis of OSAHS.
ObjectiveTo evaluate the prevalence of obstructive sleep apnea hypopnea syndrome (OSAHS) in patients with asthma, and explore the association of OSAHS with asthma. MethodsPatients who were diagnosed as asthma between March 2014 and February 2015 were recruited in the study. They were categorized into an OSAHS group and a non-OSAHS group according to the Berlin questionnaire. The data of clinical characteristics and pulmonary function test were collected. Logistic regression analysis was performed to evaluate the factors associated with the incidence of OSAHS in asthma. ResultsA total of 64 patients with asthma were enrolled and 36 patients were complicated with OSAHS. The body mass index (BMI), allergic rhinitis history, inspiratory capacity, maximal mid-expiratory flow and provoking dose which make FEV1 reduce 20% were significantly different between two groups (all P < 0.05). Multivariate logistic regression analysis revealed that the increased BMI was an independent risk factor of OSAHS in patients with asthma. ConclusionThe occurrence of OSAHS with asthma is very high, and BMI may be an important associated risk factor.
Objective To explore the mechanism of chronic intermittent hypoxia (CIH) on renal damage with normal diet and high-fat diet. Methods Twenty-four healthy male Wistar rats of SPF grade were randomly divided into 4 groups (n=6 in each group), namely group A (normoxia and common diet), group B (normoxia and high fat diet), Group C (CIH and common diet), and group D (CIH and high fat diet). The serum cystatin C (Cys-C) was measured and the renal CHOP protein was detected by immunohistochemistry. The ultrastructural changes of glomeruli and renal tubules were observed under electron microscope. Results The levels of Cys-C in group B, group C and group D were significantly higher than those in group A (P<0.05). The mean density of endoplasmic reticulum stress (ERS) marker protein CHOP in group B, group C and group D was significantly higher than that in group A (P<0.05). Electron microscope revealed focal nuclear pyknosis in the partly renal tubular epithelial cells, sparse and scattered brush border in group B and group C, also revealed nuclear pyknosis in a large number of tubular epithelial cells, sparse and scattered brush border in group D. Conclusion CIH can activate the ERS mediated renal tubular epithelial apoptosis, thus induce ultrastructure changes and damage of kidney.
Objective To study the differences of obstructive sleep apnea hypopnea syndrome (OSAHS)-related indexes between Uyghur and Han, and to provide evidence for the development of individualized treatment measures for different ethnic groups. Methods 224 Han OSAHS patients were collected from Guangdong Provincial Hospital of Chinese Medicine, and 178 Uygur OSAHS patients were collected from The First People’s Hospital of Kashi between January 2018 and December 2019. The collected data information included age, sex, nationality, body mass index (BMI), apnea hypopnea index (AHI), lowest oxygen saturation (LSaO2), OSAHS stage, mean corpuscular hemoglobin concentration (MCHC), triglyceride (TG), total cholesterol (TC), high density lipoprotein (HDL), low density lipoprotein (LDL), fasting blood glucose (FBG), and glycosylated hemoglobin (HbAlc). After using propensity matching scores to reduce confounding factors, differences in above indicators between different nationalities were compared. Results The mean values of MCHC, TC and HDL in Uygur OSAHS patients were lower than those in Han patients at the same stage, and the mean values of LSaO2 and LDL in mild and severe Uygur OSAHS patients were lower than those in Han patients at the same stage, with statistically significant differences (all P<0.05). There were no significant differences in AHI, TG, FBG or HbAlc between Uygur and Han patients with OSAHS. Conclusion There are significant differences in LSaO2, LDL, MCHC, TC and HDL between Uygur and Han Chinese patients with OSAHS.
Objective To investigate the correlation between obstructive sleep apnea hypopnea syndrome (OSAHS) and biochemical indexes in children. Methods Seventy-eight children with OSAHS in our hospital from January 2015 to February 2017 were recruited as an observation group, and 100 normal children who underwent physical examination were selected as a control group in the same period. The mean values and positive rates of biochemical markers were compared between two groups including alanine aminotransferase (ALT), blood urea nitrogen (BUN), total cholesterol (TC), triglyceride (TG), creatine kinase isoenzyme (CK-MB), cardiac troponin I (cTnI), fasting blood glucose (FPG) level. Results The mean values of biochemical indexes showed significant differences between the observation group and the control group except BUN and FPG [ALT, (52.1±26.2) U/L vs. (41.3±18.5) U/L; TC, (4.9±0.9) mmol/L vs. (4.3±0.8) mmol/L; TG, (1.4±0.7) mmol/L vs. (1.0±0.4) mmol/L; CK-MB, (24.3±9.5) U/L vs. (11.2±8.2) U/L; cTnI, (1.4±0.7) μg/L vs. (1.0±0.6) μg/L] (all P<0.05). The positive rates also showed significant differences between the observation group and the control group except BUN and FPG [ALT (48.7%vs. 14.0%), TC (24.4% vs. 8.0%), TG (23.1% vs. 8.0%), CK-MB (41.0% vs. 11.0%), cTnI (34.6% vs. 7.0%) (all P<0.05). Conclusions The cardiac function and liver function are significantly impaired in children with OSAHS, showing the disorder of lipid metabolism to some extent. These abnormal indexes may be the occurrence and development of OSAHS. More attention should be paid to the detection of biochemical indexes in children with OSAHS.
ObjectiveTo analyse the hundred top-cited articles in obstructive sleep apnea hypopnea syndrome (OSAHS), and summarize the development trend of OSAHS research.MethodsWe searched the Web of Science core collection for all published articles on OSAHS or sleep disorders from January 1st, 1992 to May 23th, 2018. The hundred top-cited articles with the most frequent citation were selected. The publication time, country of origin, journal, institution, professional field of corresponding author, funding type, publication type, etc. were analyzed.ResultsThe hundred top-cited articles were published between 1992 and 2013, with 300～5 980 citations and a total of 65 719 citations. The main types of articles were clinical studies (73 articles), reviews (20 articles), guidelines (4 articles) and basic research (3 articles). Fourteen authors published more than one first-author paper, and fifteen authors published more than one articles as corresponding authors. These authors were distributed across 22 subject areas. The most cited country was the United States (60 articles), and the most cited institution was the University of Wisconsin (10 articles). The hundred top-cited articles were published in 31 journals, most of which were cited less than 1 000 times, and a few articles were cited more than 2 000 times.ConclusionsOSAHS has attracted much attention in respiratory medicine, neurology, epidemiology and other fields, and many articles about clinical research types of OSAHS have been cited. In addition, most of the highly cited articles in the OSAHS field come from the developed countries; our country needs to devote more resources to OSAHS research.