OBJECTIVE:To introduce the application of intelligent sorting system for prepared infusion in PIVAS of our hospi-tal. METHODS:Intelligent sorting system established by our hospital with barcode scanning technology and relevant hardware de-vices such as automatic drug sorting devices was introduced from system operation environment,system software design and sys-tem function. The effects of the system was evaluated through comparing with manual sorting mode. RESULTS:The intelligent sort-ing system used had such functions as sorting batch selection,intelligent sorting and discharging,information tracing management. Compared to manual sorting,the number of staff under intelligent sorting mode decreased from 7 to 2,sorting errors within 3 months were reduced by 99.0%(591 times vs. 6 times),and the daily sorting errors were reduced by 98.9%(6.57 times vs. 0.07 times). CONCLUSIONS:The system runs stably and sorts accurately,the errors is reduced,the working efficiency is improved and intensity of sorting is reduced,compared to manual sorting.

OBJECTIVE:To provide reference for the informational and automatic management in Pharmacy intravenous admix-ture service (PIVAS). METHODS:The composition and practical application of PIVAS automatic management system developed in our hospital were introduced,and ratio of irrational medical order,drug dispensing efficiency and the numbers of error before and after application were compared to evaluate its effect. RESULTS & CONCLUSIONS:The work process was intelligently opti-mized,PIVAS automatic management system developed in our hospital composed by automatic prescription audit system,intelli-gent drug dispensing system,intelligent liquid preparation system,automated sorting system and automatic transportation system, which respectively achieved the automated audit of prescription,intelligent drug dispensing and labeling,responsibility traced in drug dispensing,intelligent mixed deployment of intravenous infusion,automated sorting and transportation of finished products of transfusion liquid. The ratio of irrational medical order decreased from 2.07%to 1.73%,time of drug dispensing and labeling short-ened from(3.15±0.53)h to(1.55±0.27)h,numbers of error within daily dispensing decreased from 0.26±0.78 to 0.06±0.13, numbers of error within daily sorting of finished products of transfusion liquid decreased from 6.57 ± 1.76 to 0.07 ± 0.17. The con-struction of the system achieves the information and automation of major work in PIVAS and improves the management level of PI-VAS.

Bronchial asthma is a kind of respiratory disease which affects people 's life quality seriously. Many factors in-volved in the occurrence and development of such disease, of which the aberrant expression of E-cad plays a critical role in it. Research found that E-cad is an important cell adhesion molecu-lar, and its main function is to maintain the structural integrity of cells and participate in the improvement of airway remodeling as well as restoration of immune function. Further study showed that the role of mucosal barrier of airway epithelial cells in bronchial asthma patients was often damaged. Moreover, the protein ex-pression of E-cad decreased significantly in mucosal molecular, which suggested that the abnormal expression of E-cad was in-volved in the development of bronchial asthma. A review on the relations between the abnormal expression of E-cad protein and bronchial asthma has been discussed in this paper, also it in-cludes the discussion about the mechanisms of E-cad’ s disorder-induced bronchial asthma as well as explores the strategies of bronchial asthma treatment, which may provide references for the follow-up research and clinical treatment.

microRNA(miRNA)is a 22nt long sin-gle-stranded non-coding RNA that is involved in a variety of physiological and pathological processes.Bronchial asthma is a heterogeneous disease,and airway inflammation is one of the important mecha-nisms of its pathogenesis.Asthma can be classified into different types based on the different immune mechanisms involved in its pathogenesis,and the mechanism of airway inflammation also varies be-tween different types of asthma.This article reviews the research progress of miRNA in asthma airway inflammation and endotype,and explores the pathogenesis and treatment prospects of miRNA in asthma airway inflammation and endotype.

OBJECTIVE:To promote the realization of intelligent management for narcotic and first type psychotropic drugs (narcotic and psychotropic drugs for short)in hospital. METHODS:With the aid of fingerprint identification technology and hardware devices such as intelligent storage cabinet,intelligent management for narcotic and psychotropic drugs were designed and developed in our hospital,including prescription dispensing,cardinal drug supplement,empty bottle recycling,changing shifts, etc. The effects of the system were evaluated 30 d before and after the implementation of the system through comparing related indexes. RESULTS:The application of intelligent management system for narcotic and psychotropic drugs realized intelligent dispensing of narcotic and psychotropic drugs,automatic checking during cardinal drug supplement,automatic information record during empty bottle recycling,automatic record during changing shifts,intelligent and information management on"five specific management"for narcotic and psychotropic drugs. Compared with before the implementation of the system,the duration of daily changing shifts was shortened from(13.62±0.40)min to(8.67±0.33)min,shortening by 4.95 min in average(n=30).The time of prescription dispensing was shortened from(30.36±0.48)min to(10.56±0.46)min,shortening by 19.80 min(n=30). The collecting time of cardinal drug supplement was shortened from(12.72±0.97)min to(0.13±0.03)min,shortening by 12.59 min (n=30). No drug dispensing error was found after the implementation of the system. CONCLUSIONS:The system is stable and convenient,which promotes that intelligent management for narcotic and psychotropic drugs is in line with the requirements of"five specific management". It also realizes intelligent and information operation,improves work efficiency and error prevention ability.

OBJECTIVE：To provide refe rence for inte lligent managemen t of central pharmacy. METHODS ：The construction experience of intelligent central pharmacy management mode were introduced ，including the use of information technology ，the introduction of automation equipment ，the rational layout of the central pharmacy ，as well as the optimization of work flow ，and the establishment of integrated management mode ，etc. The workload of intelligent central pharmacy in our hospital before construction（2016），during construction （2017-2018）and after operation （2019）were collected from our hospital information system（HIS），including the number of injection doctor ’s orders ，the number of doctor ’s orders reviewed ，the number of PIVAS deployment，the number of oral medical orders ，the number of medical orders discharged with medicine ，etc. The pharmacist scheduling before and after the operation of intelligent central pharmacy in our hospital was counted. The average daily quantity of injection prescription ，average dispensing speed ，timely delivery rate and dispensing errors were calculated. In addition ，the satisfaction of medical staff in 39 wards of our hospital were investigated every quarter to evaluate the implementation effect of intelligent central pharmacy management model. RESULTS ：From 2016 to 2019，the workload of the central pharmacy in our hospital showed an overall upward trend ，and the average daily prescription amount increased year by year ，and the average daily prescription amount in 2017-2019 was significantly more than that in 2016（P＜0.05）. Average dispensing speed ，timely delivery rate and dispensing errors of central pharmacy during 2018-2019 were significantly lower than 2016（P＜0.05）. The daily number of pharmacists in dispensing posts in the central pharmacy was reduced from 22 in 2016 to 18 in 2019，with 4 pharmacists saved. During the 4 years，867 questionnaires were distributed and 862 valid questionnaires were recovered. The effective recovery rate was above 99％. The average satisfaction of medical staff in the ward to the central pharmacy was high relatively ，being 96.8％， 98.4％ ，99.1％ and 99.1％ respectively from 2016 to 2019. CONCLUSIONS ：The integrated intelligent center pharmacy management mode established in our hospital has realized the information and automatic management of inpatient medication order dispensing；reasonable arrangement of the work contents of professional and technical personnel with different professional titles can not only save the labor cost ，but also increase the content 09304021） of pharmaceutical care ，broaden the work depth ，so as to improve the work efficiency and ensure the quality of 126.com pharmaceutical care.

OBJECTIVE：To introduce the development and application of automatic dosing and mixing system of intravenous infusion in PIVAS of our hospital. METHODS ：Based on the bar code management system in PIVAS ，combined with automatic mixing equipment ，our hospital developed and designed automatic dosing and mixing system of intravenous infusion which could realize real-time scanning and charging of drugs ，setting parameters of mixed dispensing and automatic dosing and mixed dispensing of intravenous infusion. Compared with manual dispensing model ，work efficiency of 5 staff who dispensed Coenzyme complex for injection and Carbazochrome sodium s ulfonate for injection 300 bags each as well as the amount of drug residues in empty bottle were investigated to evaluate the effects of the system. RESULTS ：The system realized automatic mixing of intravenous infusion. In manual dispensing model and automatic dispensing model ，the mixing efficiency of Coenzyme complex for injection were （96.6±10.0）and（195.2±10.7）bag/h（P＜0.001）；mixing efficiency of Carbazochrome sodium sulfonate for injection were （83.8±12.9）and（118.8±6.7）bag/h（P＜0.001）. The amount of residual liquid in Coenzyme complex for injection empty bottle were （0.09±0.02）and（0.11±0.01）mL；Carbazochrome sodium sulfonate for injection empty bottle were （0.08± 0.02）and（0.12±0.01）mL，which were all lower than the internal control requirements that injected solvent volume was no more than 5％ （0.15 mL）. CONCLUSIONS ：The automatic dosing and mixing system of intravenous infusion could improve the efficiency of intravenous infusion dispensing and reduce the labor intensity of the staff .

OBJECTIVE：To establish a method for concentration determination of anlotinib in human plasma and apply it in the clinic. METHODS ：The plasma samples were pretreated by salting-out assisted with liquid-liquid extraction with ammonium acetate as salting out assistant and acetonitrile as solvent. Using voriconazole as internal standard ，LC-MS/MS method was adopted. The separation was performed on Waters X Bridge C 18 column with mobile phase consisting of 0.2％ formic acid solution- acetonitrile（gradient elution ）at the flow rate of 1 mL/min. The column temperature was set at 40 ℃，and sample size was 10 μL. The split ratio was 3∶7. The electrospray ion source and multiple reaction monitoring mode were used for the analysis. The ion pair of anlotinib and internal standard under positive ion mode were m/z 408.3→339.3 and m/z 350.2→281.3，respectively. RESULTS ： Anlotinib showed a good linear relationship in the concentration range of 0.2-200 ng/mL（R2＞0.996 7）. The lowest limit of quantitation was 0.2 ng/mL. Intra-day and inter-day RSDs were no more than 12％ （n＝6 or n＝3）. Accuracies were 90.92％-108.00％（n＝6 or n＝3）. The average extraction recoveries were 87.51％-100.00％（RSD＜8％，n＝6）. The average matrix effects were 96.66％-99.93％（RSD＜5％，n＝6）. The plasma concentration of 3 patients with NSCLC treated with anlotinib was 8.74-65.60 ng/mL. CONCLUSIONS ：The method is simple ，accurate and specific ，and is suitable for the plasma concentration monitoring of anlotinib in NSCLC patients.

OBJECTIVE： To improve the quality of antitumor drug dispensing in pharmacy intravenous admixture services （PIVAS）， reduce dispensing error and occupational exposure to dispensers by antitumor drugs. METHODS： The composition and functions of automatic injection dispensing system were introduced， and the system was applied in antitumor drug dispensing in PIVAS. Various work indexes were compared 1 month before and after the application of the system. RESULTS： The system included information processing software， equipment control software and drug dispensing machine hardware， and had functions such as automatic counting of medicines， automatic entry into basket， automatic drug dispensing and automatic printing of labels. After applying automatic injection dispensing system， the operation of infusion label printing， basket dividing and dispensing in dispensing process was changed from manual to automatic. It could save human resources， as for each label， the average time of drug dispensing decreased from （33.00±3.31） s to （15.55±1.41） s while no mistakes and damaged label was found. CONCLUSIONS： The application of automatic injection dispensing system achieves automatic operation of antitumor drug dispensing in PIVAS， reduce dispensing error reduces staff’s exposure to antitumor drugs and occupational exposure.