Objective To explore the value of somatosensory cortex evoked potential(CSEP)monitoring in objective evaluation of spinal cord function and integrity as well as prognostication of neural function after surgery.Methods CSEP monitoring was performed before the operation,during surgical procedure and after the operation in 56 spinal cord surgery patients to observe and analyze latency and amplitude of cortical potential.The significant changes were amplitude reduction≥150%or latency prolongation≥10%.Results There were 71.43%(40/56)true negative finding,both latency and amplitude without abnormal changes during the operation and without new neural functional deficit after operation.There was 0.18%(1/56)false negative finding,latency and amplitude without abnormal changes during surgical procedure,but with new neural functional deficit after operation.There were 26.79%(15/56)true positive findings,where latency transient prolongation<10%and amplitude reduction<50%during surgical procedure were observed.After suspending procedure or changing direction during surgical procedure,the waveform restored or improved.Conclusion CSEP monitoring during surgical procedure could reflect the sensitiveness to distracting,ischemia and injury of spinal cord.A timely intervention might improve the CSEP.CSEP could reflect the function and integrity of spinal cord.CSEP possess an important value in preventing spinal cord injury and evaluating the prognosis of neural function.

Objective To summarize the perioperative nursing of undergoing radical cystectomy with ileal neobladder for the treatment of bladder cancer? Method The nursing measures included preoperative psychological care,bowel and body preparation as well as postoperative nursing of drainage tube,ileal bladder irrigation,bladder functional exercise and basic nursing care? Results No patients suffered from postoperative complications such as infections,urinary fistula and anastomotic leakage? Twenty patients recovered autonomous urination within 3-6 months after the operation? One patient got minor urinal incontinence? Conclusions Cystectomy with orthotopic ileal neobladder trauma contributes to more complications due to large surgical trauma? Therefore,good perioperative care is important for the successful operations?

Objective To analyze the effects of health management of metabolic syndrome on the control of related risk factors. Methods A total of 430 patients diagnosed with metabolic syndrome in 2008completed questionnaire and before randomly assigned to the health management group ( n = 207 ) and the control group (n=223). One year later, all the participants were investigated for the risk factors of food intake, cigarette smoking, alcohol consumption, staying-up and emotion, and the changes of body mass index ( BMI), blood pressure ( BP), triglyceride (TG), high-density lipoprotein cholesterol (HDL) and fasting blood glucose (FBG). Student's t test and x2 test were used for data analysis. Results For the health management group, the incidence of high-salt, high-fat and high-sugar intake, overtake of food, lack of physical exercises,staying-up and alcohol drinking was significantly decreased at 1 year (P ＜ 0. 05 ), when compared with baseline and the control group ( both P ＜ 0. 05 ). For the health management group, BMI,systolic blood pressure (SBP),TG and FBG was improved at 1 year (P＜0. 05). In comparison with the control group, BMI, SBP, diastolic blood pressure (DBP),TG and FBG of the management group were significantly improved (P ＜ 0. 05 ). Conclusions Patients with metabolic syndrome may have better treatment compliance after receiving systematized and individualized health management.

Objective To explore the therapeutic mechanism of Modified Lugen Formula(Phragmitis Rhizoma,Cicadae Periostracum,Batryticatus Bombyx,Lonicerae Japonicae Flos,Glycyrrhiza,Menthae Haplocalycis Herba,Notopterygii Rhizoma et Radix,Puerariae Lobatae Radix,Bupleuri Radix)in treating influenza from the virus-host interaction interface.Methods The phytocompounds were first collected from the HERB database,and then potential active compounds were screened out by Lipinski's rules of five.The targets of active compounds were further predicted through the SwissTargetPrediction platform.Differentially expressed genes(DEGs)were determined from the human H1N1 influenza dataset GSE90732 available in the Gene Expression Omnibus database(GEO).H1N1-Homo sapiens-related protein-protein interactions(PPIs)were gathered from the Pathogen-Host Interaction Search Tool(PHISTO).The above mentioned bioinformatic datasets were integrated.Then a PPI network and a Formula-virus-host interaction network were constructed using Cytoscape.Functional enrichment analyses were performed by using R software.Finally,molecular docking was carried out to evaluate the binding activities between the key compounds and targets.Results A total of 1 252 active compounds,1 415 targets,951 influenza-related DEGs,and 10 142 H1N1-Homo sapiens-related PPIs were obtained.There were 72 intersection targets between the Modified Lugen Formula and influenza.Functional enrichment analyses showed that these targets are closely related to host defense and programmed cell death.The network topological analysis showed that active compounds in the Modified Lugen Formula,such as oleanolic acid,γ-undecalactone,and longispinogenin,regulate viral proteins M2,NA,NS1,and HA and/or the host factors HSP90AA1,NRAS,and ITGB1,thus exert therapeutic effect.Molecular docking results confirmed that these compounds had a good binding ability with the targets.Conclusion Multiple active ingredients in Modified Lugen Formula directly target influenza virus proteins and/or host factors,thereby play an anti-influenza role in multiple dimensions,including inhibiting virus replication,regulating host defense and cell death.This study provides a theoretical basis for further experimental analysis of the action mechanism of the Modified Lugen Formula in treating influenza.

OBJECTIVE: Identifying Atrial Ventricular Hypertrophy Electrocardiogram (AVH ECG)and diagnosing the classification of theirs automatically. METHODS: The ECG data used in this experiment was collected from the First Affiliated Hospital of China Medical University. CNN are combined with conventional methods and a 10 layers of one dimensional CNN are created in this experiment to extract the features of ECG signals automatically and achieve the function of classifying. ROC, sensitivity and F1-score are used here to evaluate the effects of the model. RESULTS: In the experiment of identifying AVH ECG, the AUC of test dataset is 0.991, while in the experiment of classifying AVH ECG, the maximal F1-score can reach 0.992. CONCLUSIONS The CNN model created in this experiment can achieve the auxiliary diagnosis of AVH ECG.
China ; Electrocardiography ; Heart Atria/pathology* ; Humans ; Hypertrophy ; Neural Networks, Computer