Objective:To investigate and analyze the rational use of anti-tumor immune enhancement drugs in our hospital. Meth-ods:The annual use data of anti-tumor immune enhancement drugs in our hospital in 2015 were collected, and then statistically ana-lyzed and evaluated combing with the medical history information. Results: There were 12 varieties and 19 specifications of adjuvant anti-tumor immune enhancement drugs in our hospital, which accounted for 15. 87% of the total sum. Totally 25 481 patients used ad-juvant anti-tumor immune enhancement drugs, which occupied 29. 84% of the total medicine afford. The adjuvant anti-tumor immune enhancement drugs showed lots of irrational use in clinics, and the main irrationity was overuse and off-label use. Conclusion: It is necessary to strengthen prescription evaluation for anti-tumor immune enhancement drugs, which needs controlled and rational use.

Objective:To establish the quality standard for Qiyeling granules. Methods:Astragali Radix and naringin were identi-fied by TLC. The content of astragaloside A was determined by HPLC. Results:The qualitative identification was with high resolution and without interference from the negative substances. The linear range of astragaloside A was 0. 166-1. 104 μg(r=0. 999 1), and the average recovery was 97. 27%(RSD=1. 3%,n=6). Conclusion:The method can be used in the quality control of Qiyeling granules.

Objective: To observe the effect of a novel targeted agent enzastaurin alone or in combination with gefitinib on ge-fitinib-resistant human non-small cell lung cancer cells to explore the rational drug combination. Methods: CCK-8 assay was used to measure the cell proliferation. Combination index ( CI) was calculated by Chou-Talalay method to assess the efficacy of the combination therapy. The flow cytometry (FCM) was used to analyze the change in the cell cycle. Results:In 72h, the IC50 value of gefitinib and enzastaurin for the lung cancer NCI-H460 cells was 6. 99μmol·L-1 (95%CI:3. 55-13. 79μmol·L-1 ) and 7. 25μmol·L-1 (95%CI:4. 77-1. 02 μmol·L-1), respectively. The inhibition effect on the cell proliferation was stronger in the combination treatment than that in the monotherapy (P<0. 05), and the simultaneous treatment showed the most significant inhibition effect (P<0. 01). The IC50 value of gefitinib for H460 cells in the simultaneous administration group, the sequential administration group with gefitinib used first and the sequential administration group with enzastaurin used first was 0.006 μmol·L-1(95%CI:0.002-0.020μmol·L-1), 0.02μmol·L-1(95%CI:0.011-0.037 μmol·L-1) and 0.085 μmol·L-1(95% CI:0.042-0.170μmol·L-1, respectively. The CI of the simultaneous administration group was lower than one when the gefitinib concentration was above 0. 05μmol·L-1 . The cell cycle distribution result indicated that the simultaneous administration group had significantly increased G0/G1 proportion (P<0. 05) and induced cell cycle arrest at G1 phase. Conclusion:Protein kinase C inhibitor enzastaurin combined with EGFR inhibitor gefitinib shows a synergistic effect, suggesting that the combination treatment of the two drugs might be a new strategy for the follow-up therapy of gefitinib-resistant non-small cell lung cancer.

OBJECTIVE:To scientifically establish the variety scope of expensive drugs and to reduce the stock level to a maximum degree under the premise of supply security. METHODS: The variety scope of expensive drugs was established by modified ABC (activity-based costing) analytical method,and the management on expensive drugs was carried out by fixed-quantity system (FQS) together with fixed-interval system (FIS). RESULTS: The practice of the optimized management effectively reduced the stock quantity of expensive drugs,increased the amount of money of 75 stocked drugs to 2.473 7 million yuan from 3.935 7 million yuan;the turnover rate rose from 238.36% to 461.86%,and the turnover days were decreased from 13.03 days to 8.29 days. CONCLUSION: Computer management in combination with the modified ABC analytical method together with FQS and FIS management led to an effective and accurate inventory management of expensive drugs,which then resulted in a speedy turnover rate,decreased fund occupying and lowered drug cost.

Objective To evaluate the workload of dispensing department in hospital using multivariate subdivision post scoring method .Methods Workload data of dispensing department in hospital were collected through scoring the workload of dispensing department with multivariate subdivision post scoring method .Results The workload scores of dispensing depart‐ments differed obviously .The average workload score is 1 370 .38 ± 112 .60 ,CV% = 8 .22% .Conclusion The Multivariate subdivision post scoring method can get the workload score of dispensing department objectively .It′s simple to operate with low cost .This method can be used as the workload scoring for dispensing department in hospital .