OBJECTIVE:To establish Bayesian statistics data processing method for the evaluation of bioequiavailability.METHODS:The procedures of the posterior probability calculation were simplified by means of the Excel-programmed double crossover designed Bayesian statistics analytical table for bioequiavailability.RESULTS:This method can be used as variance analysis and data processing of Bayesian statistics evalustion.CONCLUSION:The results are accurate and the application is convenient in this method.

OBJECTIVE： To evaluate the economic effectiveness of different pharmacotherapeutic schemes for the same disease Three therapeutic schemes（ including A， B and C schemes） for peptic ulcer with Helicobacteria pylori were compared METHODS： The schemes were evaluated with pharmacoeconomic cost－ effectiveness analysis RESULTS： The results showed that B was the best scheme from either cost－ effectiveness analysis（ C/E） or increasing costeffectiveness analysis（ Δ C/Δ E）  CONCLUSION： Pharmacoeconomics is very important in optimizing therapeutic scheme， guiding rational drug use and in_ creasing economic effectiveness

[Objective] To study the effects of different growth periods on the contents of volatile oil and the curcumol in Curcuma aromatica Salisb. samples,which provided theoretical bases to control the quality of the crude drug of Curcuma aromatica Salisb.[Method]The contents of volatile oil in Curcuma aromatica Salisb. samples were determined by the method of Pharmacopeia,and HPLC method for determination of curcumol in different samples was established. [Result]The contents of volatile oil in different samples lied in the range of 0.820%～0.471%(g/g),and the contents of curcumol in different volatile oil samples were between 0.862%(g/g) and 1.380%(g/g). [Conclusion]Compared with the Curcuma aromatica Salisb. of a shorter growing period,the contents of longer growth period were higher.Different growing time had effects on the accumulating of volatile oil and the curcumol in Curcuma aromatica Salisb.

Objective:To evaluate the predictive performance of the individualized drug delivery decision-making system including Smart Dose, PharmVan and JPKD on predicting the Vancomycin plasma concentration and to analyze the related factors affecting the predictive performance.Methods:The clinical data of patients who were treated with Vancomycin and received therapeutic drug monitoring (TDM) admitted to the First Affiliated Hospital of Wenzhou Medical University from January 2018 to July 2020 were retrospectively collected. Smart Dose and PharmVan were used to predict the plasma concentration of Vancomycin of the initial regimen. Smart Dose, PharmVan and JPKD were used to predict the plasma concentration of Vancomycin of the adjustment regimen for patients whose initial steady-state trough concentration were not qualified. The relative predictive error (PE) between the measured plasma concentration and predicted plasma concentration was calculated and box plotted. Mann-Whitney U test was used to evaluate the difference of the absolute value of PE (APE) predicted by each software for Vancomycin plasma concentration. The TDM results were divided into accurate prediction group (APE < 30%) and the inaccurate prediction group (APE≥30%) according to the APE value. Patients and disease characteristics including gender, age, body weight complication, Vancomycin medication and TDM results were collected from electronic medical records. Univariate analysis and multivariate Logistic regression analysis were used to screen the related factors that influence the predictive performance of Smart Dose, PharmVan and JPKD; and receiver operating characteristic curve (ROC curve) was drawn to evaluate its predictive value. Results:A total of 185 patients were enrolled, and 258 plasma concentration of Vancomycin were collected, including 185 concentrations of initial regimen and 73 concentration of adjustment regimen. There was no significant difference in the APE of the initial regimen of plasma concentration between Smart Dose and PharmVan. No significant difference in the APE of the adjustment regimen of plasma concentration was found among Smart Dose, PharmVan and JPKD. The accuracy of Smart Dose in predicting the plasma concentration of the adjustment regimen was better than that of the initial regimen [22.94% (10.50%, 36.24%) vs. 29.33% (13.07%, 47.99%), P < 0.05]. The univariate analysis of factors affecting the performance of Smart Dose in predicting the concentration of initial regimen showed that the proportion of patients with hypertension in the accurate prediction group was significantly higher than that in the inaccurate prediction group [43.3% (42/97) vs. 27.3% (24/88), P < 0.05]. The univariate analysis of factors affecting the performance of Smart Dose in predicting the concentration of adjustment regimen showed that the proportion of patients with valvular heart disease in the accurate prediction group was significantly lower than that in the inaccurate prediction group [23.4% (11/47) vs. 46.2% (12/26), P < 0.05]. The univariate analysis of factors affecting the performance of JPKD in predicting the concentration of adjustment regimen showed that the body weight of patients in the accurate prediction group was significantly higher than that in the inaccurate prediction group (kg: 62.8±14.9 vs. 54.8±12.8, P < 0.05). Multivariate Logistic regression analysis indicated that hypertension was a beneficial factor for Smart Dose to predict the initial plasma concentration of Vancomycin [odds ratio ( OR) = 0.526, 95% confidence interval (95% CI) was 0.281-0.983, P = 0.044], and low body weight was an independent risk factor for the inaccurate prediction of JPKD for adjustment regimen ( OR = 1.042, 95% CI was 1.001-1.085 , P = 0.043). ROC curve analysis indicated that the area underROC curve (AUC) of the body weight for evaluating the accuracy of JPKD in predicting Vancomycin plasma concentration was 0.663, and 95% CI was 0.529-0.796 ( P = 0.023). When the body weight was less than 55.95 kg, the risk of inaccurate prediction of JPKD in predicting Vancomycin plasma concentration was increased, and the predictive sensitivityand specificity were 75% and 60% respectively. Conclusions:There is no significant difference in the predictive performance of Smart Dose, PharmVan or JPKD on Vancomycin plasma concentration. Smart Dose had a better predictive performance for the Vancomycin plasma concentration of adjustment regimen than initial regimen. Smart Dose had a better predictive performance when the patient was concomitant with hypertension. JPKD had a poor predictive performance for low-body weight patients. The predictive performance of JPKD was decreased when the body weight was lower than 55.95 kg.

Objective To investigate the effects of the serum from rats with hemorrhagic shock and Shenfu injection, on the expression of endothelial cell protein C receptor (EPCR) in human umbilical vein endothelial cells (HUVECs) cultured with rat serum. Method The soluble endothelial protein C receptor (sEPCR) in supernatant, the expression of EPCR mRNA and protein level of EPCR in HUVECs were detected by using enzyme linked immunosorbent assay ( ELISA), reverse transcription polymerase chain reaction (RT-PCR), and western bloting (WB) in normal control group, hemorrhagic shock serum (3 h, 12 h, 24h, 72 h) group, and Shenfu-treated (3 h, 12 h, 24 h, 72 h) group, respectively. Results The mean levels of sEPCR and the expression of EPCR mRNA were significantly higher in hemorrhagic shock serum (12 h, 24 h) group, and Shenfu -treated(24 h)group than those in normal control group (all P ＜0.01 ),the mean levels of sEPCR and the expressions of EPCR mRNA were significantly higher in Shenfu-treated ( 12 h) group than those in normal control group ( all P ＜0. 05 ), while the levels of protein were lower in hemorrhagic shock serum ( 12 h, 24 h) group and in Shenfu-treated(24 h)group than those in normal control group ( both P ＜0.01 ), and the level of EPCR protein was lower in Shenfu-treated( 12 h) group than that in normal control group ( P ＜ 0. 05) . The mean levels of sEPCR and the expressions of EPCR mRNA were significantly lower in Shenfu-treated ( 12 h, 24 h) group than those in hemorrhagic shock serum ( 12 h,24 h) group (all P ＜0.05), while the levels of EPCR protein were higher in Shenfu-treated ( 12 h, 24 h)group than those in hemorrhagic shock serum ( 12 h, 24 h) group ( P ＜ 0.05 ). Conclusions These data suggest that Shenfu injectio could affect the expression of EPCR mRNA and the level of EPCR protein, thereby it might be effective in prevention of development of hemorrhagic shock.