Objective To analyze the relationship between obesity and arterial stiffness among population of different glucose tolerance status. Methods A cross-sectional study recruited the population aged 40 years or older from ShiJingShan district in Beijing. 9080 subjects were included by measured weight, waist circumference (WC), body mass index (BMI), waist/hip ratio (WHR) and WC/height ratio (WHtR) and hemodynamic indexes and the aortic stiffness (using brachial-ankle pulse wave velocity(baPWV). They were divided into 3 groups based on the results of OGTT and diabetes history: normal glucose tolerance group ( NGT group) ,impaired glucose regulation group ( IGR group) and diabetes mellitus group ( DM group) . The association between baPWV and different obese indexes was analyzed by multi-ple linear regression. Results According to the criterion of WC, WHR and WHtR, baPWV of central obesity group was significantly higher than the normal group(P<0. 01). There was no statistically significant differences based on BMI in DM group(P>0. 05), but it was of sta-tistically significant differences in NGT group and IGR group. Central obese indexes( WC、WHR、WHtR) showed a positive correlation to PWV in the studied groups(P<0. 05). BMI was only positively correlated with baPWV in NGT group, there was no significant correlation in IGR and DM group(P>0. 05). After adjusting for age, gender and cardiovascular risk factors, the multiple regression analysis found that for every 0. 1 point increase in WHR and WHtR, the PWV increased 40. 6 cm/s and 55. 3cm/s respectively. Conclusion There is a positive correlation between central obese indexes (WC、WHR、WHtR) and arterial stiffness, and the central obese indexes correlated with arterial stiffness better than BMI.

OBJECTIVE: To explore the effect and indications of radiofrequency ablation for the treatment of obstructive sleep apnea-hypopnea syndrome. METHOD: Multilevel temperature-controlled radiofrequency therapy of soft palate, uvula, inferior turbinate, and tonsils were applied to 74 adults with obstructive sleep apnea-hypopnea syndrome (OSAHS). There were 16 mild, 23 moderate, and 35 severe cases respectively in this study. Evaluation of mucosal injury and effect of radiofrequency therapy on pain, speech and swallowing were performed early after operation. The volume of targets and length of soft palate and uvula were measured three months after operation. Polysomnography, Epworth Sleepiness Scale and Snoring Scale Score questionnaires were reevaluated six months after operation and compared with the results of pre-operation. Treatment outcome measurements were mainly based on polysomnography. RESULT: By our definition, 5 of 74 patients (6.76%) have been cured and 42 of 74 (56.76%) had improved totally. Mean Apnea-Hypopnea Index (AHI) decreased significantly and mean lowest oxygen saturation value increased significantly postoperatively (P < 0.01). The total effective rate of the patients, whose obstructive sites were all treated by radiofrequency, was remarkably higher than that of the ones, whose obstructive sites were only partly treated by radiofrequency (P < 0.01). The total effective rate of the former was 72.92%. Patients showed a significant decrease in mean score on ESS and SSS postoperatively (P < 0.01). No significant complications were observed in most patients. There were little influence on pain, speech and swallowing. The volume or length of targets decreased obviously three months after operation. CONCLUSION Radiofrequency can reduce the volume of tissue. The short-term outcomes of radiofrequency were satisfying if obstructive sites had been all treated. This study demonstrates that the characters of radiofrequency are as follows: minimally invasive, safe, efficient, repeatable and multilevel applicable. Temperature-controlled radiofrequency therapy is a safe and effective procedure for hypertrophic infraturbinal when used separately, or as a part of a the combined approach for complex syndromes.
Adult ; Catheter Ablation ; methods ; Contraindications ; Female ; Humans ; Male ; Middle Aged ; Sleep Apnea, Obstructive ; surgery ; Treatment Outcome

Objective:To investigate the influence of hemoglobin glycation index (HGI) on the risk of incident chronic kidney disease (CDK) among nondiabetic patients.Methods:Prospective cohort study. At baseline, a total of 7 407 nondiabetic patients without a history of CKD from Pingguoyuan Community of the Shijingshan District in Beijing were included from December 2011 to August 2012, who were then divided into three groups according to the tertiles of their baseline HGI levels. The CKD incidence rate was compared among the different HGI groups at last follow-up. Cox multivariable regression was applied to evaluate whether HGI measures predicted CKD risk. Test for trend across tertiles were examined using ordinal values in separate models.Results:The mean age of the subjects was (56.4±7.5) years, and 4 933 (66.6%) were female. At mean follow-up of 3.23 years, 107 (1.4%) individuals developed CKD. The incidence of CKD was gradually increasing from the low to high HGI groups [1.1% (28/2 473) vs. 1.2% (31/2 564) vs. 2.0% (48/2 370), P=0.016]. In the multivariate Cox regression analysis, after adjustment for potential confounders, the high HGI group had a 68.5% increased risk of CKD compared with the low HGI group ( HR=1.685, 95% CI 1.023 to 2.774). CKD risk increased with increasing HGI tertiles ( P for trend=0.028). Conclusion:High HGI is associated with an increased risk for CKD in the nondiabetic population, indicating that HGI may help identify individuals at high risk for CKD.

Objective:To study the relationship between hemoglobin glycation index (HGI) and blood lipid indices such as low-density lipoprotein cholesterol (LDL-C), non-high-density lipoprotein cholesterol (non-HDL-C), and plasma atherogenic index (AIP).Methods:This cross-sectional study included 16 049 participants from the Beijing Apple Garden community between December 2011 and August 2012. The subjects were divided into three groups based on the HGI quartile: low ( n=5 388), medium ( n=5 249), and high ( n=5 412). The differences in blood lipid indicators between different HGI groups were compared and multivariate logistic regression model was established to analyze the association between HGI and dyslipidemia. And multivariate logistic regression model was established to analyze the relationship between HGI and blood lipid indicators in different glucose metabolism populations. Results:There were 16 049 participants in all (mean age: 56 years), including 10 452 women (65.1%). They were classified into normal glucose tolerance (9 093 cases), prediabetes (4 524 cases), and diabetes (2 432 cases) based on glucose tolerance status. In the general population, with the increase of HGI, LDL-C, non-HDL-C, and AIP gradually increased (all P values for trends were <0.05), and the proportion of abnormalities increased significantly ( χ2=101.40, 42.91, 39.80; all P<0.001). A multivariate logistic regression model was established, which suggested a significant correlation between HGI and LDL-C, non-HDL-C, and AIP (all P<0.05), after adjusting for factors such as age, sex, fasting blood glucose, hypertension, body mass index, smoking, and alcohol consumption. In the overall population, normal glucose tolerance group, and diabetes group, HGI had the highest correlation with non-HDL-C ( OR values of 1.325, 1.678, and 1.274, respectively); in the prediabetes group, HGI had a higher correlation with LDL-C ( OR value: 1.510); and in different glucose metabolism groups, AIP and HGI were both correlated ( OR: 1.208-1.250), but not superior to non-HDL-C and LDL-C. Conclusion:HGI was closely related to LDL-C, non HDL-C, and AIP in the entire population and people with different glucose metabolism, suggesting that HGI may be a predictor of atherosclerotic cardiovascular disease.