Objective To investigate the risk factors of chronic obstructive pulmonary disease (COPD) combined with obstructive sleep apnea (OSA) and its relationship with apnea-hypopnea index (AHI). Methods Clinical data of 216 COPD patients with OSA were retrospectively chosen in the period from January 2016 to December 2019 in our hospital. All patients were divided into different groups according to with or without OSA and the clinical features of patients with and without OSA were compared. Multivariate analysis was used to analyze the influencing factors of COPD with OSA and the correlation between AHI and COPD with OSA was also evaluated. Results ① The age, body mass index (BMI), neck circumference, smoking index, forced expiratory volume in 1 second (FEV1), FEV1% predicted (FEV1pred), the ratio of FEV1 to the forced vital capacity of the lungs (FEV1/FVC), COPD assessment test (CAT) score, Epworth sleepiness scale (ESS) score, Charlson comorbidity index (CCI) score, sleep apnea clinical score (SACS) score and proportion of patients with essential hypertension in OSA group were significantly higher than non-OSA group (P<0.05). The course of disease and the proportion of severe COPD and GOLD grade 4 in OSA group were significantly less than non-OSA group (P<0.05). ② AHI was positively correlated with age, BMI, neck circumference, smoking index, FEV1%pred, FEV1%pred<50%, CAT score, ESS score, CCI score and SACS score (P<0.05); and negatively correlated with FEV1%pred<50% (P<0.05). ③ Multivariate analysis showed that BMI, FEV1%pred<50%, CAT score and ESS score were the independent factors of COPD patients with OSA (P<0.05). ④ The proportion of AHI<5 times/h in GOLD grade 4 was significantly higher than GOLD grade 1-3 (P<0.05). The proportion of AHI> 30 times/h in GOLD grade 4 was significantly lower than GOLD grade 1-3 (P<0.05). Conclusion The incidence of COPD with OSA was independently correlated with BMI, FEV1%pred, CAT score and ESS score; patients with severe COPD possess lower OSA risk.
Objective To evaluate the changes of right ventricular function in patients with obstructive sleep apnea hypopnea syndrome (OSAHS) before and after continuous positive airway pressure (CPAP) treatment by two-dimensional speckle tracking imaging (2D-STI). Methods Fifty patients with moderate and severe OSAHS were selected for CPAP treatment, and another 40 healthy volunteers were selected as a control group. 2D-STI and traditional echocardiography were conducted in the study group before treatment, after 3 months of continuous treatment and after 6 months of continuous treatment and in the control group. Results The differences between the control subjects and the OSAHS patients were statistically significant in right ventricular global longitudinal strain (RVGLS), right ventricular free lateral wall longitudinal strain (RVLLS), apical segment of the right ventricular free wall longitudinal strain (Apical RV-SL), basal segment of the right ventricular free wall longitudinal strain (Basal RV-SL), and media segment of the right ventricular free wall longitudinal strain (Media RV-SL) (all P<0.05). RVGLS, RVLLS and Apical RV-SL were significantly improved after 3 months of CPAP treatment (all P<0.05). Basal RV-SL was significantly improved after 6 months of CPAP treatment (P<0.05). Conclusions The right ventricular function of patients with OSAHS is abnormal. CPAP treatment can improve the right ventricular function of OSAHS patients. 2D-STI can accurately assess the changes of right ventricular function.
Objective To investigate the differences in clinical characteristics and polysomnographic characteristics between the elderly obstructive sleep apnea-hypopnea syndrome ( OSAHS) patients and the young and middle-aged OSAHS patients. Methods The clinical manifestations and the polysomnographic characteristics of 37 elderly OSAHS patients and 294 young and middle-aged patients were analyzed. The differences in polysomnographic indicators between two groups were compared according to the body mass index.Results The nocturia frequency in the elderly OSAHS patients was higher( P =0. 01) ,however, the othert clinical manifestations between the elderly group and the young and middle-aged group were not different significantly. The elderly group had a lower body mass index ( P =0. 018) , a smaller neck circumference ( P =0. 003) , and a larger chance of diabetes ( P = 0. 001) and hypertension( P lt; 0. 001) .The phase Ⅰ and phase Ⅱ sleep of the elderly group took a longer duration ( P lt; 0. 001) and a larger proportion( P lt;0. 001) . The sleep apnea-hypopnea index between two groups did not show any significant difference( P =0. 082) . The lowest night oxyhemoglobin saturation of the elderly group was higher than that of the young and middle-aged group( P =0. 009) , but such difference disappeared after adjustment by weight ( P =0. 114) . Conclusions The major clinical manifestations of the elderly OSAHS patients are similar to the young and middle-aged patients. The elderly patients are thinner than the young and middle-aged patients, but have more complications and a higher frequency of nocturia. The night oxyhemoglobin saturation is lower in young and middle-aged patients which is associated with higher body mass index.
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.
The incidence of perioperative sleep disorders in patients with cervical spondylosis is high, which affects the physiological and psychological rehabilitation effect of patients after surgery. The expert consensus (preliminary draft) was prepared by summarizing expert experience and recommendations. After expert review and revision, the consensus was formed. The consensus was developed based on existing evidence-based medical evidence and expert clinical experience, which is scientific and practical and can provide a basis for clinical medical personnel to prevent and treat perioperative sleep disorders in patients with cervical spondylosis.
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.
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.
Sleep electroencephalogram (EEG) is an important index in diagnosing sleep disorders and related diseases. Manual sleep staging is time-consuming and often influenced by subjective factors. Existing automatic sleep staging methods have high complexity and a low accuracy rate. A sleep staging method based on support vector machines (SVM) and feature selection using single channel EEG single is proposed in this paper. Thirty-eight features were extracted from the single channel EEG signal. Then based on the feature selection method F-Score's definition, it was extended to multiclass with an added eliminate factor in order to find proper features, which were used as SVM classifier inputs. The eliminate factor was adopted to reduce the negative interaction of features to the result. Research on the F-Score with an added eliminate factor was further accomplished with the data from a standard open source database and the results were compared with none feature selection and standard F-Score feature selection. The results showed that the present method could effectively improve the sleep staging accuracy and reduce the computation time.
Objective To explore the relationship between uric acid (UA) level and cardiovascular disease in patients with OSAHS and its clinical significance. Methods The electronic medical record system of the First hospital of Lanzhou University was used to collect 475 subjects who completed polysomnography (PSG) during hospitalization from January 2019 to May 2020. According to the Guidelines for the Diagnosis and Treatment of Obstructive Sleep Apnea Hypopnea Syndrome (Basic Version), the patients were divided into four group: control group [apnea-hypopnea index (AHI) <5 times/h, n=96], mild group (5≤AHI≤15 times/h, n=130), moderate group (15<AHI≤30 times/h, n=112), and severe group (AHI>30 times/h, n=137). The age, gender, body mass index (BMI), smoking history, drinking history, hypertension, diabetes mellitus, cardiovascular disease and biochemical indexes [including triglyceride, total cholesterol, high density lipoprotein cholesterol, low density lipoprotein cholesterol, glucose, UA, blood urea nitrogen (BUN), serum creatinine, lactate dehydrogenase, homocysteine], PSG indexes were observed and compared among the four groups, and the differences were compared by appropriate statistical methods. Binary logistic regression model was used to evaluate the correlation between various risk factors and cardiovascular disease. Results There were statistically significant differences in age, gender, BMI, drinking history, hypertension and cardiovascular disease among the 4 groups (P<0.05). The levels of UA and BUN in mild, moderate and severe groups were higher than those in the control group, with statistical significance (P<0.05). With the increasing of OSAHS severity, the level of UA increased. There was statistical significance in the incidence of cardiovascular disease among the four groups (P<0.05), and the highest incidence of arrhythmia was found among the four groups. And the incidence of cardiovascular disease increases with the increasing of OSAHS severity. Binary Logistic regression analysis showed that the risk factors for cardiovascular disease in OSAHS patients were age, UA and BUN (P<0.05). Conclusions The occurrence of cardiovascular disease in OSAHS patients is positively correlated with the severity of OSAHS. The level of UA can be used as an independent risk factor for cardiovascular disease in OSAHS patients. Therefore, reducing the level of UA may have positive significance for the prevention and control of the prevalence and mortality of cardiovascular disease in OSAHS patients.
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.