Objective To understand the situation of procrastination and its influencing factors in medical students.Methods The general procrastination scale (GPS),general self-efficacy scale (GSES),achievement motivation scale(AMS),self-esteem scale (SES),self-rating depression scale (SDS) and self-rating anxiety scale (SAS) were applied to 531 medical students,and the influence factors were analyzed with correlation analyses,hierarchical regression and path analysis of SPSS 16.0 and Amos 5.0.Results (1) The scale score of procrastination was between 31-93 and the average score was 55.54±9.68.96.1％ students showed different degree procrastination,with the moderate-severe degree ones accounted for 45.3％.(2)Procrastination was positively correlated to anxiety(r=0.331) and depression(r=0.415),but negatively correlated with self-efficacy(r=-0.247) and selfesteem(r=-0.328).(3)The hierarchical regression revealed that self-efficacy,self-esteem,and depression could significantly predict procrastination,which increased the explained variance 6.1％,6.1％ and 6.3％ respectively.(4) Path analysis showed that the self-esteem had direct effect on procrastination (path coefficient 0.12);self-efficacy had indirect effect on procrastination through self-esteem (path coefficient 0.21).Depression had direct effect on procrastination (path coefficient 0.34) and indirect effect to the procrastination through the self-esteem (path coefficient 0.50).All the fitting indices reached statistical standards.Conclusion Procrastination was common in medical students and self-efficacy,self-esteem,depression had direct or indirect effect on it.

Objective: To evaluate the using value of FibroTouch and six serological models in detecting the degree of liver fibrosis in patients with chronic hepatitis B, in an attempt to provide reference for accurate diagnosis. Methods: Two hundred and fifty-eight cases with chronic hepatitis B admitted to Xixi Hospital of Hangzhou from September 1, 2015 to September 1, 2017 were selected. All patients underwent liver histopathological examination and FibroTouch measurement to determine liver stiffness (LSM). Serum biochemical parameters were detected and the scoring values of six serological models were calculated. SAS 9.4 statistical software was used for statistical analysis, and the correlation between FibroTouch and the six serological models was analyzed by Spearman correlation. The diagnostic value of FibroTouch and six serological models was analyzed by receiver operating characteristic curve (ROC) based on liver histopathological findings. Results: The median LSM of 258 cases with chronic hepatitis B was 9.4 (6.5-13.8) kPa. In the six serological models, the median value of aspartate transaminase to platelet ratio index (APRI), FIB-4 index, S-index, Forn’s index, PRPindex, and FIB-5 were 0.42 (0.28-0.62), 1.27 (0.78-2.03), 0.11 (0.07-0.20), 6.95 (5.89-8.51), 0.000 8 (0.000 6-0.000 9),and 38.59 (36.28-40.97). FibroTouch had positive correlation with APRI, FIB-4, S-index, Forn’s index, PRP, fibrosis stage (r= 0.73,P< 0.001) and inflammation grade, and had negative correlation with FIB-5, and both had statistical significance. The area under curve (AUC) of FT-LSM at S≥2, S≥3, S = 4 were 0.89, 0.90 and 0.85, respectively, which was significantly higher than serological models (P< 0.001). The AUC of S-index model at S≥2, S≥3, S = 4 were higher than other five serological models. Conclusion The diagnostic performance of FibroTouch is significantly better than serological model. S-index model has the best diagnostic performance in the six serological models, and the combination of S-index and FT-LSM may better diagnose the grading of liver fibrosis, and thus can be applied and promoted in clinic.

Objective:To detect the levels of serum IgM and IgG antibodies against 2019-nCoV in 79 patients with COVID-19 for understanding their variation patterns in vivo. Methods:Chemiluminescence immunoassay was used to detect the levels of 2019-nCoV-specific IgM and IgG antibodies in 167 serum samples collected at different periods (≤10 d, 10<~20 d, 20<~30 d、>30 d) after disease onset from 79 clinically confirmed COVID-19 patients in Hangzhou Xixi Hospital. The results were statistically analyzed together with clinical data.Results:The average levels of IgM and IgG antibodies in severe and common cases were higher than those in mild cases [IgM: 21.77 (10.18-128.65) and 13.13 (6.08-35.14) vs 3.01(1.69-8.69), χ 2=27.442, P<0.01; IgG: (124.22±36.79) and (120.04±63.25) vs (52.31±53.68), F/χ 2=27.295, P<0.01]. The positive rates of IgM and IgG antibodies in severe and common cases were also higher than those in mild cases after recovery ( P<0.01). The levels of IgM and IgG antibodies were affected by the time of detection. The level of IgM antibody detected during 10<~20 d of the disease onset was significantly higher than that within 10 d of the disease onset ( P<0.05). The level of IgG antibody detected after 10 d of the disease onset was significantly higher than that within 10 d of the disease onset ( P<0.01). Conclusions:Higher levels of IgM and IgG antibodies were detected in patients with severe COVID-19. A significant correlation was found between the levels of IgM and IgG antibodies and the time of detection.

Objective: To explore drug resistance of different viral loads, and investigate the relationship between drug resistance and CD4⁺T cell counts in patients with HIV antiretroviral therapy (ART) in China from 2003 to 2015. Methods: Data were extracted from the Chinese National HIVDR Surveillance database from 2003 to 2015. For this study, the data collected were as follows: having received ART for ≥12 months; 18 years or older; demographic characteristics, information of ART, CD4⁺T cell counts, viral load (VL) and HIV drug resistance of a total of 8 362 patients were collected. Multi-variables non-conditional logistic regression model was used to study the relationship between viral load, HIV drug resistance and CD4⁺T cell counts. Results: Participants with age of (41.8±10.5) years were enrolled in this study. Among them, 59.9% (5 009 cases) were men. The percentage of CD4⁺T cell counts <200 cells/μl in the total population was 17.9% (1 496 cases), the highest was in VL ≥1 000 copies/ml with drug resistance, which was 43.0% (397/923) , followed by VL 50-999 copies/ml with drug resistance, which was 31.1% (69/222), and the lowest was in VL 50-999 copies/ml without drug resistance 13.2% (273/2 068). Compared to VL 50-999 copies/ml without drug resistance, VL<50 copies/ml, VL 50-999 with drug resistance, VL≥1 000 copies/ml without drug resistance, and VL ≥1 000 copies/ml with drug resistance, the OR (95%CI) of CD4 <200 cells/μl were 0.9 (0.7-1.0), 3.2 (2.3-4.4), 2.6 (2.1-3.2), and 4.9 (4.0-5.9), respectively. Among 222 patients with VL 50-999 and HIVDR, the most frequent antiretroviral drugs were EFV and NVP, both of which were NNRTI, and whose percentage both were 94.1% (209 cases). The most frequent mutations were M184V/I (NNRTI), and the percentage was 26.1% (58 cases). The second one was K103N (NNRTI), and the percentage was 22.5% (50 cases). The percentage of V32L/E (PI) and V82A (PI) were lower, they were 0.9% (2 cases) and 0.5% (1 case) respectively. Conclusion Decreased CD4⁺T cell counts were associated with HIV drug resistance at low viraemia. In the case of low viral load, the most vulnerable were the NNRTI antiviral drugs such as EFV and NVP.

AIM: To evaluate the effect of TDF withdrawal time on changes of serum HBV-M, HBV DNA and ALT level in the mother-to-child blocking of the maternal population. METHODS: A prospective, randomized and controlled study was conducted. The 120 pregnant women with HBV who took TDF during 24 to 28 weeks of gestation were randomly divided into group A (withdrawal at delivery) and group B (withdrawal at 4 weeks postpartum), levels of HBV-M, HBV DNA, and ALT at different times were detected. The results were statistically analyzed by Wilcoxon Rank-sum test and χ