OBJECTIVE:To investigate the compatible stability of isosorbide mononitrate(ISO) and dopamine(DA) hydrochloride in glucose injection.METHODS:The contents of ISO and DA in the mixture of ISO and DA at 20 ℃ and 30 ℃ under natural illumination within 24 h,and the pH and appearance of the mixture were monitored.RESULTS:No significant change was noted in the concentrations of ISO and DA,the pH and the appearance of the mixture at 20 ℃ or 30 ℃.CONCLUSION:The mixture of ISO and DA in glucose injection was stable at 20 ℃ or 30 ℃,but which should be used up within 18 h after mixing.

OBJECTIVE:To study the compatible stability of gatifloxacin for injection with tinidazole injection.METHO_DS:Contents changes of gatifloxacin and tinidazole within 48h after mixing were determined by HPLC;and the appearance,pH value were observed and determined.RESULTS:The contents changes for both gatifloxacin and tinidazole were less than 5%. The mixed solution was clear in appearance yet without generation of gas and sediments.No significant changes were noted in pH value,color and smell.CONCLUSION:The mixed solution of gatifloxacin for injection with tinidazole injection is stable at room temperature within 48h and which can be applied in combination.

The study aimed to establish a population pharmacokinetic/pharmacodynamic (PPK/PD) model of warfarin. PCR-RFLP technique was used to genotype the CYP2C9 and VKORC1 polymorphisms of 73 patients. RP-HPLC-UV method was used to determine the 190 plasma concentrations of warfarin. Application of NONMEM, the clinical information and 263 international normalized ratio (INR) monitoring data were used to investigate the effect of genetic, physiological, pathological factors, other medication on clearance and anticoagulant response. The final model of warfarin PPK/PD was described as follows: CL = θCL · (WT/60)θWT · θCYP · eηCL (if CYP2C9*1/*1, θCYP = 1; if *1/*3, θCYP = 0.708); EC50 = θEC50 · θVKOR · eηEC50 (if VKORC1- 1639AA, θVKOR = 1; if GA, θVKOR = 2.01; V = θV; K(E0) = θK(E0); Emax = θEmax; E0 = θE0 · eηE0. Among them, the body weight (WT), CYP2C9 and VKORC1 genotype had conspicuous effect on warfarin PK/PD parameters. The goodness diagnosis, Bootstrap, NPDE verification showed that the final model was stable, effective and predictable. It may provide a reference for opitimizing the dose regimen of warfarin.

The paper is to report the establishment of a population pharmacokinetic model for flurbiprofen (FP), an active metabolite of flurbiprofen axetil (FA). 246 FP serum concentration and clinical data were perspectively collected from 23 general anaesthesia patients receiving FA intravenously before operation in Dentofacial Surgery and Otorhinolaryngology Department of the First Affiliated Hospital of Fujian Medical University. Population pharmacokinetic data analysis was performed using NONMEM software. The measure of Bootstrap was applied for internal validation, while Visual Predictive check was adopted for external validation. The data of FP correspond with two-compartment model. The body weight (WT) had conspicuous effect on clearance and volume of central compartment, while sex, age and daily dose of administration had no marked effect on pharmacokinetic parameter of FP. The basic model was described as follows: CL (L x h(-1)) = 1.28x EXP(ETA(1)), V1 (L) = 5.03x EXP(ETA(2)), Q (L x h(-1)) = 8.5 x EXP(ETA(3)), V2 (L) = 4.39 x EXP(ETA(4)). The final model was described as follows: CL (L x h(-1)) = 1.32 x (WT/60) x EXP(ETA(1)), V1 (L) = 5.23 x (WT/60) x EXP(ETA(2)), Q (L x h(-1)) = 8.45 x EXP(ETA(3)), V2 (L) = 4.37 x EXP(ETA(4)). The population typical value of CL, V1, Q and V2 were: 1.32 L x h(-1), 5.23 L, 8.45 L x h(-1) and 4.37 L, respectively. Bootstrap and visual predictive check show that the final model of FP is stable, effective and predictable. A novel population pharmacokinetic model is developed to estimate the individual pharmacokinetic parameter for patients intravenous injecting FA in terms of patients' characteristics and dosing history, and to design a prior dosage regimen.

Pharmacy practice in e-hospital is an innovative form that greatly enhances the accessibility,efficiency,and convenience of medical services,providing continuous health management and chronic disease drug treatment management for patients.To ensure the quality of pharmacy practice in e-hospitals,the standard formulation team for pharmacy practice in e-hospitals adhered to the principles of scientific,universal,instructive,and operability.They comb through key management content from national policy documents,domestic and international standards and regulations,and literature analysis.Combined with the actual work situation of pharmacy practice in e-hospitals,the standard is formulated through multiple rounds of opinion collection and expert verification.This paper interprets the key content of the standard,including basic requirements,service content and processes,and quality management and evaluation improvement,to provide guidance and reference for managers and pharmacists to deeply understand the standard and further enhance the quality of pharmacy practice in e-hospitals.

AIM: To provide reference for clinical application of warfarin PPK/PD model, the prediction accuracy of warfarin PPK/PD model and 6 dose models established by multiple linear regression were compared. METHODS: Clinical data of inpatients who took warfarin tablets for oral anticoagulant therapy in our hospital were collected, and the predictive values were simulated by PPK/PD model and other 6 models, respectively. SPSS 23.0 software was used for paired t-test of measured value and predicted value. MAE and percentage of prediction deviation were used to evaluate the results, and the prediction deviation box-plot was drawn to compare the total data, different dose groups and different genotypes. RESULTS: A total of 50 patients were included in the study. Among 7 models, only PPK/PD model, Wen et al., and Du Liping et al.'s model had no statistical difference in predicted values and measured values (P>0.05). The prediction accuracy of PPK/PD model was higher among the total data, low and medium doses, and patients with different genotypes.The prediction accuracy of Wen et al. 's model and Li Chuanbao et al.'s model was higher in the high-dose group. CONCLUSION: The PPK/PD model of warfarin has good clinical prediction performance, which is expected to provide reference for accurate administration of warfarin.

OBJECTIVE To interpret Teacher Training Syllabus for Clinical Pharmacist Training Program （2023 edition） （hereinafter referred as to the “new syllabus”）， and to provide reference and guidance for promoting the implementation of the new syllabus and realizing the quality-improving goal of the reform of the clinical pharmacist teacher training program initiated by China Hospital Association. METHODS From the perspective of the management and based on the position of the designer， the new syllabus was interpreted from four aspects： the background of its compilation and release， the process of its compilation and its characteristics， the key improvements of the program and the points for attention about its subsequent implementation. RESULTS & CONCLUSIONS The development and release of the new syllabus provide a “construction blueprint” for the reform of the clinical pharmacist teacher training program of the China Hospital Association. The whole process of compiling the new syllabus is characterized by four basic features： theory-led， goal-oriented， research-based， and synergistic. Compared with the previous syllabus， in addition to the adjustment of the text structure，the new syllabus presents more complete and clearer competence requirements for clinical teaching competence in terms of training objectives； in terms of training content， it further structures the group of task items， pays attention to the 育。E-mail：zhenjiancun@163.com sequential planning and time arrangement of items， and puts forward both quantitative and qualitative refinement requirements for each specific training task；in terms of training methods， it emphasizes the interaction of lecturing， demonstrating and guiding， and the progression of observation， operation and reflection， with the intention of guiding teacher trainees to “learn how to teach by teaching”. In the subsequent implementation of the new syllabus， it is necessary for the teacher training bases to attach great importance to the guarantee of training conditions and process quality management， and to organize the teacher training team to do a good job in the two training programs of “clinical pharmacist training” and “clinical pharmacist teacher training”. Based on further improving the connection between the two training programs， the teacher training team should continue to explore the scientific model of clinical pharmacist teacher training oriented by clinical teaching competence.