Objective To investigate the effects of peer education on treatment among patients using 131I with thyroid cancer after surgery.Methods A total of 80 patients using 131I therapy after surgery of thyroid can cerhospitalized from June 2014 to May 2016 were enrolled and randomly divided into two groups.The control group were given routine health care including hospitalized treatment,education,and follow-up examination after discharge from hospital,while the experimental group were given peer education,and the intervention was provided from admission to one month after discharge.Distress level,complication rates and knowledge mastering were compared between two groups.Results The differences of distress level,complication rates and knowledge mastering between two groups were statistically significant(P＜0.05).Conclusion Patients using 131I with thyroid cancer after surgery suffer from significant distress.Peer education can greatly reduce patients' distress,complications after 131I treatment,and improve mastering knowledge.

Objective To understand the status of Clonorchis sinensis infection and its risk factors in Futian District Shen?zhen City so as to provide the evidence for formulating the strategy of prevention and control. Methods Two monitoring points were randomly selected and the permanent population aged≥3 years were investigated and their stool samples were detected for the eggs of C. sinensis by using Kato?Katz technique. Meanwhile the risk factors of infection were also investigated. Results A total of 743 subjects were examined and 7 persons were infected with C. sinensis and the infection rate was 0.94%. Most of the infected cases were focused on 20?40 and 40?60 age groups. The risk factors were eating raw or semi?cooked fish and the protec?tive factor was the use of separated cutting board for cooked or uncooked food. Conclusion The infection rate of C. sinensis is low in the population of Futian District. However the health education especially for diet health education still should be strengthened.

AIM: To investigate the effects of ?-elemene,extracted from curcuma wenyujin,on proliferation, cell cycle and apoptosis of human multiple myeloma RPMI-8226 cells. METHODS: The effect of ?-elemene on the growth of human multiple myeloma RPMI-8226 cells was studied through MTT assay,cell cycle and apoptosis was studied by combined Annexin-V protein iodide staining,The morphological changes was studied by combining Hoechst33342-PI staining. RESULTS: ?-elemene inhibited the proliferation of RPMI-8226 cells in a time-and dose- dependent manner. Compared with the control cells,the proportions of the RPMI-8226 cells in the G0 /G1 phase rose,and the proportions of the RPMI-8226 cells in the S and G2 /M phases fell decreased. RPMI-8226 cells treated with ?-elemene for 48 h induced apoptosis in a dose-dependent manner. CONCLUSION: ?-elemene is able to inhibit the proliferation of RPMI-8226 cells by arresting the cell cycle and inducing the cell apoptosis.

OBJECTIVE: To establish an HPLC method for the determination of fumaric acid in Pleurotm citrinopileatus. METHODS: HPLC was performed on Yilite C18 column(250 mm?4.6 mm,5 ?m) with methanol-0.01 mol?L-1 potassium dihydrogen phosphate solution(5 ∶ 95,pH adjusted to 2.5 using phosphoric acid) as mobile phase and detection wavelength of 216 nm. RESULTS: The linear range of fumaric acid was 0.16～1.6 ?g (r=0.999 9). The average recovery was 101.59% (RSD=1.28%,n=6). CONCLUSION: This method is accurate, simple and reproducible for the content determination of fumaric acid in P. citrinopileatus.

Objective:To establish a risk prediction model for acute exacerbation of chronic obstructive pulmonary disease (AECOPD) using regression analysis and verify the model.Methods:The risk factors and acute exacerbation of 1 326 patients with chronic obstructive pulmonary disease (COPD) who entered the stable phase and followed up for 6 months in the four completed multi-center large-sample randomized controlled trials were retrospectively analyzed. Using the conversion-random number generator, about 80% of the 1 326 cases were randomly selected as the model group ( n = 1 074), and about 20% were the verification group ( n = 252). The data from the model group were selected, and Logistic regression analysis was used to screen independent risk factors for AECOPD, and an AECOPD risk prediction model was established; the model group and validation group data were substituted into the model, respectively, and the receiver operating characteristic (ROC) curve was drawn to verify the effectiveness of the risk prediction model in predicting AECOPD. Results:There were no statistically significant differences in general information (gender, smoking status, comorbidities, education level, etc.), body mass index (BMI) classification, lung function [forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), etc.], disease status (the number and duration of acute exacerbation in the past year, duration of disease, etc.), quality of life scale [COPD assessment test (CAT), etc.] and clinical symptoms (cough, chest tightness, etc.) between the model group and the validation group. It showed that the two sets of data had good homogeneity, and the cases in the validation group could be used to verify the effectiveness of the risk prediction model established through the model group data to predict AECOPD. Logistic regression analysis showed that gender [odds ratio ( OR) = 1.679, 95% confidence interval (95% CI) was 1.221-2.308, P = 0.001], BMI classification ( OR = 0.576, 95% CI was 0.331-1.000, P = 0.050), FEV1 ( OR = 0.551, 95% CI was 0.352-0.863, P = 0.009), number of acute exacerbation ( OR = 1.344, 95% CI was 1.245-1.451, P = 0.000) and duration of acute exacerbation ( OR = 1.018, 95% CI was 1.002-1.034, P = 0.024) were independent risk factors for AECOPD. A risk prediction model for AECOPD was constructed based on the results of regression analysis: probability of acute exacerbation ( P) = 1/(1+ e- x), x = -3.274 + 0.518×gender-0.552×BMI classification + 0.296×number of acute exacerbation + 0.018×duration of acute exacerbation-0.596×FEV1. The ROC curve analysis verified that the area under ROC curve (AUC) of the model group was 0.740, the AUC of the verification group was 0.688; the maximum Youden index of the model was 0.371, the corresponding best cut-off value of prediction probability was 0.197, the sensitivity was 80.1%, and the specificity was 57.0%. Conclusion:The AECOPD risk prediction model based on the regression analysis method had a moderate predictive power for the acute exacerbation risk of COPD patients, and could assist clinical diagnosis and treatment decision in a certain degree.