Objective To observe the effects of epileptiform discharge and its influence on humpwave sleep spindles after sleep deprivation(SD)in children with epilepsy.Methods Monitoring the wakefulness and sleep EEG of samples of 160 children who were diagnosed epilepsy after SD.Results The detection rate of epileptiform discharge(59.3%)in sleep EEG was higher than that in wakefulness EEG after SD(16.3%)(P

Objective To observe the effect of intelligent trunk intensive training on motor and balance for patients with stroke. Methods 80 stroke patients were divided into treatment group (n=40) and control group (n=40) randomly. Both groups accepted routine rehabilitation,and the treatment group accepted intelligence trunk intensive training in addition for 6 weeks. They were assessed with Rivermead Movement Index (RMI), the Berg Balance Scale (BBS), Sheikh trunk control ability evaluation before and after treatment. Results All the scores improved after treatment in both groups (P<0.001), and improved more in the treatment group than in the control group (P<0.001).The score of trunk control positively correlated with the score of RMI and BBS respectively (r=0.576, r=0.592, P<0.05). Conclusion Intelligent trunk intensive training can further improve the motor and balance of patients with stroke.

Objective: To investigate the degree and influencing factors of glycosylated hemoglobin ( HbA1c ) control among patients with type 2 diabetes ( T2DM ) living in rural communities of Zhejiang Province, so as to provide the reference for optimizing the management of diabetes patients in rural communities. Methods: Permanent adult patients with T2DM that were registered and received standardized management in all communities of Jiashan County and Suichang County, and 6 communities of Yongkang City, Zhejiang Province in 2016 were recruited, and their demographic characteristics were captured from the health record system and chronic disease management system. The height, body weight, waist circumstance and blood pressure were measured, and HbA1c and blood lipid parameters were detected. The degree of HbA1c control ( <7% ) was analyzed, and its influencing factors were identified using a multivariable logistic regression model. Results: A total of 10 339 patients with T2DM were enrolled, including 4 520 men ( 43.72% ) and 5 819 women ( 56.28% ), with a mean age of ( 63.54±9.78 ) years and the mean course of diabetes of ( 6.36±4.73 ) years. The rate of HbA1c control was 47.89%. Multivariable logistic regression analysis showed that males ( OR=1.123, 95%CI: 1.024-1.233 ), region ( Suichang, OR=2.413, 95%CI: 2.106-2.765; Yongkang, OR=2.460, 95%CI: 2.188-2.767 ), course of disease ( 5-9 years, OR=1.724, 95%CI: 1.504-1.977; 10 years and longer, OR=2.881, 95%CI: 2.477-3.351 ), use of hypoglycemic drugs ( OR=1.203, 95%CI: 1.089-1.329 ), development of chronic complications ( OR=1.190, 95%CI: 1.027-1.379 ), uncontrolled blood pressure ( OR=1.140, 95%CI: 1.030-1.261 ), uncontrolled blood lipid ( OR=1.258, 95%CI: 1.104-1.433 ), and smoking ( OR=1.318, 95%CI: 1.165-1.491 ) were statistically associated with HbA1c control among T2DM patients. Conclusion The rate of HbA1c control was 47.89% among T2DM patients in rural communities of Zhejiang Province. HbA1c control should be given a high priority among men living in low-economic-level regions with long course of disease, use of hypoglycemic drugs, chronic complications, smoking, uncontrolled blood pressure and lipid.

Objective: To learn the prevalence of dyslipidemia and its influencing factors among patients with type 2 diabetes mellitus (T2DM) in rural areas of Zhejiang Province, and to provide evidence for dyslipidemia control. Methods: A sample of 10 343 patients with T2DM managed by communities from three counties (Jiashan,Suichang and Yongkang) were recruited. Through the residents’ health record system and specific investigation, demographic features,physical examination results of blood pressure,height, weight, waist circumstance (WC), glycated hemoglobin (HbA1c),total cholesterol (TC),triglyceride (TG),low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) were collected to analyze the spectrum of dyslipidemia. A logistic regression model was established to explore the associated factors of dyslipidemia. Results : The prevalence rate of dyslipidemia among the patients with T2DM in rural communities was 66.91%. The prevalence rates of higher level of TC, TG, LDL-C were 41.76%, 41.28%, 15.89%, respectively, while the prevalence rateof lower level of HDL-C was 16.92%. The prevalence rates of purely high TC,high TC with TG and purely high TG were 11.84%,11.75% and 11.47%,respectively. Higher level of TG with lower level of HDL-C was common in males (11.32%) and higher level of TC with TG was common in females (14.60%). The results from multivariate logistic regression analysis indicated that females(OR=1.499,95%CI:1.352-1.663),age(OR=0.992,95%CI:0.988-0.996),poor control of HbA1c(OR=1.241,95%CI:1.141-1.351), abdominal obesity(OR=1.169,95%CI:1.064-1.285),overweight(OR=1.384,95%CI:1.257-1.524)and obesity(OR=1.582,95%CI:1.352-1.852)were associated with dyslipidemia. Conclusions The prevalence of dyslipidemia is relatively higher among the patients with T2DM in rural communities of Zhejiang Province. Higher level of TC and TG contributed to most dyslipidemia. The patients with T2DM who are females,have poor control of plasma glucose and suffer from obesity should be under surveillance.

In recent years, the rise and development of predictive nursing opened up a new era of clinical nursing;at the same time for patients with postoperative complications, prevention provided a new way of thinking. Predictive nursing, because of it can effectively improve the patients′ self-efficacy and medical coping styles, was gradually taken seriously. In this article, we first analyzed from two aspects of nursing theory and technology about predictive nursing development present situation in our country; secondly based on the meaning, purpose, advantage of predictive nursing and clinical application value and practical significance of interpretation we analyzed the application prospects of predictive nursing in chronic diseases;finally the analysis of relevant research results helped to find out that predictive nursing could improve the various types of critically ill patients self-efficacy and medical coping styles. Predictive nursing has clinical signality and social value in self-efficacy and medical coping styles of chronic diseases patients.

Objectives:To investigate the association between body mass index (BMI) changes and other risk factors for cardiovascular disease in patients with type 2 diabetes mellitus (T2DM).Methods:Based on the T2DM cohort in rural communities of Zhejiang province, baseline and follow up information of height, weight, blood pressure, glycated hemoglobin (HbA1c), TC, TG, LDL-C and HDL-C of the T2DM patients were collected. After excluding those who died during the follow-up period, lost follow-up or had incomplete information, a total of 8 953 T2DM patients were included in the final analysis. Multiple linear regression and Cox proportional hazards regression models were used for analysis.Results:At baseline survey, 40.97% of the T2DM patients were overweight and obese. Compared with those with normal BMI, the SBP, DBP and TG level were significantly higher, while HDL-C level was significantly lower in the overweight and obese T2DM patients ( P<0.01). During the follow-up period, the blood glucose control rate in the patients increased by 15%, and the levels of HbA1c decreased in the patients with different BMI changes at different degrees. Compared with the patients who kept normal BMI, the HbA1c level decrease had a smaller range, while the SBP and DBP increase had a larger range in the patients with persistent overweight and obesity, and their substandard rates of HbA1c, SBP, DBP, TG, HDL-C levels were 1.142 (1.057-1.233) times, 1.123 (1.055-1.196) times, 1.220 (1.128-1.320) times, 1.400 (1.282-1.528) times and 1.164 (1.069-1.267) times higher. The changes of blood pressure, blood lipids and other related indicators in the patients whose BMI became abnormal were similar to those of the patients with persistent overweight and obesity; Compared with the patients whose BMI were kept normal, the differences in changes and substandard rate of blood glucose level, blood pressure level in the patients whose BMI became normal were not significant ( P>0.05). The change value of BMI was positively correlated with the change value of SBP, DBP, TG and LDL-C, while negatively correlated with the change value of HDL-C ( P<0.05). Conclusions:Abnormal changes in BMI are associated with the adverse changes of blood glucose level, blood pressure, and blood lipids level and other cardiovascular disease risk factors. Keeping normal BMI would benefit the positive outcome of cardiovascular adverse factors.