Objective To investigate the clinic efficacy of Qiwei Liaoshang Powder on empyrosis. Methods 176inpatients suffering empyrosis were included in our study. A prospective randomized study was adopted to evaluate the efficacy of Qiwei Liaoshang Powder, while exposure therapy of San Huang Cream was taken as control. Bacteria culture,healing time, and pain of wounds were compared. Results Qiwei Liaoshang Powder had less healing time, pain and infection rate than San Huang Cream. Conclusion Qiwei Liaoshang Powder is effective to treat empyrosis.

Objective To analyze the variations of surface(S) region,basic core promoter (BCP) and precore (preC) regions in genomes of hepatitis B virus (HBV) from patients with coexistence of hepatitis B surface antigen (HBsAg) and hepatitis B surface antibody (anti-HBs).Methods S region,BCP and preC regions in genomes of HBV were amplified and sequenced in 62 HBV-infected patients including 27 HBsAg-positive/anti-HBs-positive patients (double positive group) and 35 HBsAg-positive/ anti-HBs-negative patients (single positive group).The sequencing results and amino acid variants in these regions were analyzed.Difference of means between groups was compared by t test.Sample rate and variation rate were compared by chi-square test.Results One hundred and fifty-six amino acids mutations within the S region were detected in 27 patients of double positive group and 100 mutations in 35 patients of single positive group.The mutation rate in double positive group was significantly higher than those in single positive (2.56％ vs 1.26％,x2 =32.07,P＜0.05).The amino acid variants in double positive group were much higher than those in single positive group within major hydrophilic region (MHR),especially in the first loop area of a-determinant in S region (4.76 ％ vs 1.02 ％,x2 =11.58,P＜0.05).The mutation rate of A1762T/G1764A in BCP in double positive group was significantly higher than those in single positive group (59.3％ vs 28.6％,x2 =5.895,P＜0.05).The mutation rate of A1846T in preC region was higher in double positive group than those in single positive group (40.7％ vs 17.1％,x2-4.265,P＜0.05).The mutation rate of A1762T/G1764A+G1896A in double positive group was also higher than that in single positive group (37.0％ vs 14.3％,x2 =4.302,P＜0.05).Conclusions The mutation rates of S region,especially in the first loop area within a-determinant,BCP and preC regions which are related with hepatocellular carcinoma development in HBsAg and anti-HBs double positive group are higher than those in HBsAg single positive group in chronic HBV infected patients.

Objective To explore whether CT perfusion imaging (CTPI)parameters can early predict the curative effect of anlotinib hydrochloride and their predictive accuracy for the treatment in lung cancer patients.Methods 2 6 patients with advanced nonGsmall cell lung cancer (NSCLC)were treated with anlotinib hydrochloride and underwent CTPI scanning before chemotherapy,after the first and second treatment cycle respectively.The average values of perfusion value (PV),peak enhancement image (PEI),time to peak (TTP),blood volume (BV)and the change rate of these parameters after one treatment cycle every time were measured and recorded. According to the response evaluation criteria in solid tumors 1.1 (RECIST1.1),the maximum diameter of the target tumor was measured and the tumor regression rate after two treatment cycles was calculated.Then a correlation analysis was conducted between the change rate of perfusion parameters (PV%,PEI%,TTP%,BV%)after one treatment cycle and the tumor regression rate (D%)after two treatment cycles. The ROC curve was performed to evaluate the accuracy of those parameters.Results PV after one treatment cycle was significantly lower than that before treatment,and PV% showed a statistical difference (P＝0.00).The PV% after one treatment cycle was positively correlated with D% after two treatment cycles (r＝0.56).In addition,the AUC of PV% and BV% were 0.99 and 0.88 respectively, and specificity were both 100%,with sensitivity respectively 75.7% and 82.6%.Conclusion CTPI can early reflect the curative effect of anlotinib hydrochloride for advanced NSCLC and provide more options for clinical evaluation.

Objective:To study the current status of longitudinal extrauterine growth restriction (EUGR) in extremely preterm infants (EPIs) and to develop a prediction model based on clinical data from multiple NICUs.Methods:From January 2017 to December 2018, EPIs admitted to 32 NICUs in North China were retrospectively studied. Their general conditions, nutritional support, complications during hospitalization and weight changes were reviewed. Weight loss between birth and discharge > 1SD was defined as longitudinal EUGR. The EPIs were assigned into longitudinal EUGR group and non-EUGR group and their nutritional support and weight changes were compared. The EPIs were randomly assigned into the training dataset and the validation dataset with a ratio of 7∶3. Univariate Cox regression analysis and multiple regression analysis were used in the training dataset to select the independent predictive factors. The best-fitting Nomogram model predicting longitudinal EUGR was established based on Akaike Information Criterion. The model was evaluated for discrimination efficacy, calibration and clinical decision curve analysis.Results:A total of 436 EPIs were included in this study, with a mean gestational age of (26.9±0.9) weeks and a birth weight of (989±171) g. The incidence of longitudinal EUGR was 82.3%(359/436). Seven variables (birth weight Z-score, weight loss, weight growth velocity, the proportion of breast milk ≥75% within 3 d before discharge, invasive mechanical ventilation ≥7 d, maternal antenatal corticosteroids use and bronchopulmonary dysplasia) were selected to establish the prediction model. The area under the receiver operating characteristic curve of the training dataset and the validation dataset were 0.870 (95% CI 0.820-0.920) and 0.879 (95% CI 0.815-0.942), suggesting good discrimination efficacy. The calibration curve indicated a good fit of the model ( P>0.05). The decision curve analysis showed positive net benefits at all thresholds. Conclusions:Currently, EPIs have a high incidence of longitudinal EUGR. The prediction model is helpful for early identification and intervention for EPIs with higher risks of longitudinal EUGR. It is necessary to expand the sample size and conduct prospective studies to optimize and validate the prediction model in the future.