Objective To explore the effect of nucleos(t)ide analog (NA)antiviral treatment on the pathological differentiation of hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC)and the prognostic factors of HCC.Methods Totally 127 patients with HBV-related HCC who were hospitalized and received partial hepatectomy in First Affiliated Hospital of Harbin Medical University from March 2007 to November 2013 were included in this study.Sixteen cases received antiviral treatment before operation and the remaining 111 cases had no history of NA treatment.The differences of histopathological grading were compared between the two groups.Twenty-nine patients received antiviral treatment for the first time after surgery,and the rest 82 patients did not.All these patients were followed up for survival and recurrence.Multivariate analysis was used to explore the prognostic factors for HCC.The categorical variables were analyzed byχ2 test or Fisher exact test.Survival rate was compared with Log-rank test. Univariate or multivariate Cox regression analysis was used to explore the related factors of survival. Results The proportions of well-,moderately- or poorly-differentiated HCC in patients with antiviral treatment before surgery were 18.75 %,68.75 % and 12.5 %,respectively.Whereas the proportions in those without treatment were 16.22%,66.67% and 17.11 %,respectively.There was no significant difference in histopathological grading of HCC between the two groups (χ2=0.224,P =0.885 ).The overall median survival time was 39 months.The 6-month,1-and 2-year survival rates were 91 .7%, 77.5 % and 59.3%,respectively.The 6-month,1- and 2-year survival rate of postoperative antiviral treatment were 96.3%,92.4% and 78.5 %,respectively,which were significantly higher than those of no antiviral treatment group (85 .9%,70.0% and 48.5 %,respectively;χ2= 6.967,P = 0.008 ). Univariate analysis showed that tumor number,size,portal vein transfer,AFP level,postoperative antiviral treatment,histopathological grading,TNM staging,BCLC staging,γ-GT and PTA were prognostic factors for postoperative HCC survival.Multivariate analysis showed that AFP level (HR=1 , 95 %CI :1 .0004—1 .002,P =0.004),postoperative antiviral treatment (HR =0.38,95 %CI :0.38—0.15 ,P =0.04)and BCLC stage (B vs A:HR=1 .55 ,95 %CI :0.76—3.18;C vs A:HR=3.63,95 %CI :1 .31 —10.09,P =0.04)were independent prognostic factors.Conclusions Preoperative antiviral treatment has no impact on the histopathological grading of HCC. BCLC stage, AFP level and postoperative antiviral treatment are independent prognostic factors for HBV-related HCC.

Bacterial resistance has become a serious problem that the whole world is facing.Routine bacterial drug resistance testing methods such as K-B test and dilution method are time-consuming and incapable to identify the specific drug resistance mechanism , which can not meet the needs of clinicians. MALDI-TOF MS overcomes the shortcomings of traditional methods and has broad application prospects in detection of bacterial resistance and drug resistance mechanism.This article reviews the recent progress on the application of MALDI-TOF MS in detection of bacterial drug resistance mechanisms.

Objective To establish the system of high resolution melting for detection of aldehyde dehydro-genase 2(ALDH2) and alcohol dehydrogenase-1B (ADH1B) gene polymorphisms .Methods The short prim-ers were designed for ALDH2 and ADH1B gene .Different PCR products were analyzed using Eva Green dyes after amplification ,which were confirmed by Sanger sequencing .Results The genotypes of ALDH2 rs671 and ADH1B rs1229984 were successfully detected in the same procedure by HRM within 90min ,and the results were consistent with Sanger sequencing .Conclusion The assay of HRM is simple ,rapid ,cost-effective ,and re-liable for the detection of ALDH2 and ADH1B polymorphism and it is worthy to be popularized .

Objective: Autoregressive integrated moving average (ARIMA) model was used to predict the incidence of tuberculosis in China from 2018 to 2019, providing references for the prevention and control of pulmonary tuberculosis. Methods: The monthly incidence data of tuberculosis in China were collected from January 2005 to December 2017. R 3.4.4 software was used to establish the ARIMA model, based on the monthly incidence data of tuberculosis from January 2005 to June 2017. Both predicted and actual data from July to December 2017 were compared to verify the effectiveness of this model, and the number of tuberculosis cases in 2018-2019 also predicted. Results: From 2005 to 2017, a total of 13 022 675 cases of tuberculosis were reported, the number of pulmonary tuberculosis patients in 2017 was 33.68% lower than that in 2005, and the seasonal character was obvious, with the incidence in winter and spring was higher than that in other seasons. According to the incidence data from 2005 to 2017, we established the model of ARIMA (0,1,2)(0,1,0)₁₂. The relative error between the predicted and actual values of July to December 2017 fitted by the model ranged from 1.67% to 6.80%, and the predicted number of patients in 2018 and 2019 were 789 509 and 760 165 respectively. Conclusion The ARIMA (0, 1, 2)(0, 1, 0)₁₂ model well predicted the incidence of tuberculosis, thus can be used for short-term prediction and dynamic analysis of tuberculosis in China, with good application value.

Objective: To investigate the positive rate for 2019-nCoV tests and co-infections in Wuhan district. Methods: A total of 8 274 cases in Wuhan were enrolled in this cross-sectional study during January 20 to February 9, 2020, and were tested for 2019-nCoV using fluorescence quantitative PCR. Both respiratory tract samples (nasopharynx, oropharynx, sputum and alveolar lavage fluid) and non-respiratory tract samples (urine, feces, anal swabs, blood and conjunctival sac swabs) were collected. If both orf1ab and N genes are positive, they are classified as nucleic acid test positive group; if both orf1ab and N genes are negative, they are classified as negative group; if single gene target is positive, they are classified as suspicious group. Individuals were divided into male group and female group according to sex. At the same time, 316 patients were tested for 13 respiratory pathogens by multiplex PCR. Results: Among the 8 274 subjects, 2 745 (33.2%) were 2019-nCoV infected; 5 277 (63.8%) subjects showed negative results in the 2019-nCoV nucleic acid test; and 252 cases (3.05%) was not definitive (inconclusive result). The age of cases with COVID-19 patients and inconclusive cases was significantly higher than that of cases without 2019-nCoV infection (40 vs 56, t=27.569, P<0.001; 52 vs 56, t=6.774, P<0.001). The positive rate of 13 respiratory pathogens multiple tests was significantly lower in 104 subjects who were positive for 2019-nCoV compared with those in subjects who were negative for 2019-nCoV test (5.77% vs 18.39%, χ²=24.105, P=0.003). Four types of respiratory tract samples and five types of non-respiratory tract samples were found to be positive for 2019-nCoV nucleic acid test. Conclusion The 2019-nCoV nucleic acid positive rate in male is higher than in female. Co-infections should be pay close attention in COVID-19 patients. 2019-nCoV nucleic acid can be detected in non-respiratory tract samples.