Objective To analyze the causes of missed diagnosis of sleep apnea hypopnea syndrome ( SAHS) . Methods 42 missed diagnosed cases with SAHS from May 2009 to May 2011 were retrospectively analyzed and related literatures were reviewed. Results The SAHS patients often visited the doctors for complications of SAHS such as hypertension, diabetes mellitus, metabolic syndrome, etc. Clinical misdiagnosis rate was very high. Lack of specific symptoms during the day, complicated morbidities, and insufficient knowledge of SAHS led to the high misdiagnosis rate and the poor treatment effect of patients with SAHS. Conclusion Strengthening the educational propaganda of SAHS, detail medical history collection, and polysomnography monitoring ( PSG) as early as possible can help diagnose SAHS more accurately and reduce missed diagnosis.
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.
由于高血压的高患病率与高致残致死率, 已经成为我国重点防治的心血管疾病和社会普遍关注的重大公共卫生问题之一。大量流行病学、临床和基础研究已证实睡眠呼吸暂停低通气综合征( sleep apnea-hypopnea syndrome, SAHS) 与高血压发病和疗效关系密切[ 1-8 ] , 是高血压发生的主要病因之一, 由此“睡眠呼吸暂停相关性高血压”一词便应运而生[ 9-1 0] , 它是指由SAHS 引发和加重的高血压。本期刊载的“阻塞性睡眠呼吸暂停相关性高血压临床诊断和治疗专家共识”( 以下简称共识) , 为睡眠呼吸暂停相关性高血压的诊治提供了规范性的指导意见, 对推动我国该领域的防治水平有重要作用。我们期望“共识”能为读者认识和防治睡眠呼吸暂停相关性高血压提供必要的指导和帮助, 使我国为数众多的睡眠呼吸暂停相关性高血压患者得到规范的诊治。
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 discuss the screening and diagnostic value of nocturnal oximetry saturation monitoring combined with clinical score (CS) for patients with obstructive sleep apnea hypopnea syndrome (OSAHS). Methods A total of 106 snorers were recruited in the analysis whose general information and medical history were collected respectively. All patients received polysomnography (PSG) and oximeter monitoring. The patients were divided into a non-OSAHS group and an OSAHS group according to apnea hypopnea index (AHI). A correlation analysis was made between PSG-AHI and oximeter-ODI to analyze the diagnostic sensitivity and specificity of different ODI combined with CS for OSAHS. Results The AHI, ODI, CS for the non-OSAHS group were 1.8±1.4 times/h, 2.6±3.5 times/h and 1.0±0.8; while for the OSAHS group they were correspondingly 37.3±23.9 times/h, 31.0±24.1 times/h, 2.6±1.1. There was a significant correlation between ODI and AHI (r=0.943, P<0.01). The sensitivity and specificity of ODI≥5 times/h combined with CS≥2 for diagnosis of OSAHS were 91.7% and 94.1% respectively, which had the value of preliminary screening. The sensitivity and specificity of ODI≥10 times/h combined with CS≥2 for diagnosis of OSAHS were 77.8% and 100.0% respectively, which would not result in misdiagnose for severe patients with AHI >30 times/h, so it could be an index of severe OSAHS screening. Conclusion Nocturnal oxyhemoglobin saturation monitoring combined with clinical score is of significant value for initial diagnosis of OSAHS.
Objective To investigate the clinical significance of changes in cardiopulmonary function, degree of hypoxia and inflammatory factors in obstructive sleep apnea hypopnea syndrome (OSAHS) patients combined chronic obstructive pulmonary disease (COPD). Methods A retrospective case-control study was conducted on 209 patients with OSAHS admitted from October 2015 to April 2022. The OSAHS patients were divided into an OSAHS-only group, an OSAHS combined with mild COPD group, an OSAHS combined with moderate COPD group, and an OSAHS combined with severe and very severe COPD group based on pulmonary function test. The characteristics of cardiopulmonary function [(pulmonary artery pressure, N terminal pro B type natriuretic peptide (NT-proBNP), forced expiratory volume in the first second to forced vital capacity (FEV1/FVC), percent predicted value of FEV1 (FEV1%pred)], hypoxia indexes [night lowest saturation of pulse oxygen (NL-SpO2), night medial saturation of pulse oxygen (NM-SpO2), saturation of pulse oxygen less than 85% of the time (TS85), diurnal lowest saturation of pulse oxygen (DL-SpO2)], inflammatory factor indicators [procalcitonin (PCT), interleukin-6 (IL-6), hypersensitive C-reactive protein (hs-CRP), neutrophil to lymphocyte ratio (NLR)], and other characteristics were compared separately. The partial correlation analysis and logistic regression were used to analyze the influencing factors of OSAHS with COPD. Results There were statistically significant differences in age, days of hospitalization, cardiopulmonary function indexes, hypoxia indexes and inflammatory factor indexes between the OSAHS combined with COPD group and the OSAHS-only group (all P<0.05). And pulmonary artery pressure, NT-proBNP, TS85, IL-6, and NLR were higher and DL-SpO2, NL-SpO2, and NM-SpO2 were lower in the OSAHS combined with severe and very severe COPD group compared with the OSAHS combined with mild COPD group (all P<0.05). In the partial correlation analysis, FEV1%pred was negatively correlated with pulmonary artery pressure, NT-proBNP, TS85, IL-6, hs-CRP and NLR, and positively correlated with DL-SpO2, NL-SpO2 and NM-SpO2 (all P<0.05). In regression analysis, NLR and TS85 were the main risk factors for OSAHS combined with COPD (all P<0.05). Conclusions OSAHS patients combined with COPD have longer hospital days, greater burden of hypoxia, cardiopulmonary function and inflammation compared with patients with OSAHS alone, especially more significant in patients with poorer pulmonary function, and higher incidence of pulmonary heart disease, atrial fibrillation, and lower limb edema. NLR and TS85 are the main risk factors in patients with OSAHS combined with severe and very severe COPD.
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.
【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.
Objective To study the changes of receptor activator of nuclear factor-κB ligand (RANKL, an osteoclastogenesis-promoting factor) and osteoprotegerin (OPG, the decoy receptor for RANKL), oxidative stress and bone turnover markers in obstructive sleep apnea-hypopnea syndrome (OSAHS), in order to understand the potential mechanisms underlying bone loss in OSAHS patients. Methods Ninety-eight male patients with OSAHS, confirmed by polysomnography (PSG) study, were enrolled. The patients were divided into mild-moderate groups and severe groups. Forty-two male subjects who were confirmed as not having OSAHS served as the controls. The subjects’ bone mineral density (BMD) and T-score were assessed in lumbar spine and femoral neck using dual-energy X-ray absorptiometry. Blood samples were collected from all subjects for measurement of RANKL, OPG, the bone formation marker bone-specific alkaline phosphatase (BAP), the bone resorption marker tartrate-resistant acid phosphatase-5b (TRAP-5b), total antioxidant capacity (TAOC). Twenty-eight severe OSAHS patients accepted continuous positive airway pressure (CPAP) treatment voluntarily. After 6 months, PSG was conducted, and serum RANKL, OPG, TAOC, TRAP-5b, BAP was measured after six months treatment. Results The BMD, T-score of the femoral neck and the lumbar spine were significantly lower in OSAHS patients as compared to the control group. The level of BAP was significantly decreased in the OSAHS group as compared to the control group, and there was no significant difference in TRAP-5b level between two groups. As compared with the control group, levels of OPG, TAOC and the OPG/RANKL ratio decreased significantly. None of these parameters (BMD, T-score, RANKL, OPG, TRAP-5b, BAP) showed significant difference between patients with mild-moderate and severe OSAHS group. Correlation analysis showed that the apnea hypopnea index and oxygen desaturation index were correlated with TAOC. BAP level was positively correlated with TAOC and lowest pulse oxygen saturation. The serum level of TAOC was lower in the OSAHS group after CPAP therapy, but the levels of RANKL, OPG, TRAP-5b, BAP were not different. As compared with the OSAHS group before CPAP therapy, the BMD of the femoral neck and the lumbar spine were not significant difference. Conclusions In patients with OSAHS, the oxidative stress response is enhanced, and imbalance of OPG/RANKL is shifted, which participates in the occurrence of osteoporosis. The oxidative stress injury of severe OSAHS patients was relieved after non-invasive ventilation treatment, but the effect of oxidative stress response on bone metabolism still needs further evaluation.
Objective To construct, validate and evaluate a nomogram prediction model based on triglyceride-glucose index for predicting the risk of type 2 diabetes mellitus (T2DM) in patients with obstructive sleep apnea (OSA). Methods A total of 414 patients diagnosed with OSA who were hospitalized in the Second Affiliated Hospital of Kunming Medical University from July 2013 to July 2023 were retrospectively analyzed. They were randomly divided into training set (n=289) and validation set (n=125) at a ratio of 7:3 using R software. In the training set, univariate logistic regression, best subsets regression (BSR) and multivariate Logistic regression were used to determine the independent predictors of OSA combined with T2DM and construct a nomogram. The area under the receiver operating characteristic curve (AUC), calibration curve, Hosmer-Lemeshow goodness of fit test, decision curve analysis (DCA) and clinical impact curve (CIC) were used to evaluate the discrimination, calibration and clinical applicability of the nomogram prediction model. Finally, the internal validation of the nomogram prediction model was carried out on the validation set. Results In the training set, the results of univariate logistic regression, BSR and multivariate logistic regression analysis showed that hypertension (OR=2.413, 95%CI 1.276-4.563, P=0.007), apnea hypopnea index (OR=1.034, 95%CI 1.014-1.053, P=0.001), triglyceride-glucose index( OR=12.065, 95%CI 5.735-25.379, P<0.001), triglyceride/high density lipoprotein cholesterol (OR=0.736, 95%CI 0.634-0.855, P<0.001) were independent predictors of T2DM in OSA patients. A nomogram prediction model was constructed based on the above four predictors. In the training set and validation set, the AUC, sensitivity, and specificity of the nomogram prediction model for predicting the risk of T2DM in OSA patients were 0.820 (95%CI 0.771-0.869), 75.7%, 75.9% and 0.778 (95%CI 0.696-0.861), 74.5%, 73.0%, respectively, indicating that the nomogram had good discrimination. The calibration curve showed that the nomogram had a good calibration for predicting T2DM in OSA patients. DCA and CIC also showed that the nomogram prediction model had certain clinical utility. Conclusions A simple, fast and effective nomogram prediction model with good discrimination, calibration and clinical applicability was successfully constructed, validated and evaluated. It can be used to predict the risk of T2DM in OSA patients and help clinicians to identify patients with high risk of T2DM in OSA patients.