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静脉输液预调配模式的质量控制和应用
引用本文:周琴,刘馨,李然,薛苏冬.静脉输液预调配模式的质量控制和应用[J].中国医院药学杂志,2019,39(21):2222-2226,2244.
作者姓名:周琴  刘馨  李然  薛苏冬
作者单位:南京医科大学附属苏州医院苏州市立医院, 江苏 苏州 215002
基金项目:苏州市科技发展项目(编号:SS201848,SYSD2018242)
摘    要:目的:通过对智能加药机和储备液相关指标的检测,探讨静脉输液预调配在医院PIVAS应用的可行性和前景。方法:对智能加药机输液泵的稳定性和残余量进行检测;对储备液药品的含量、微粒体数量和成品输液含量合格率进行检测;对静配人员损伤情况以及输液配置时长的检测进行分析研究。结果:智能加药机输液泵性能稳定,单次输出量的实验误差控制在±4%以内;与人工组相比,机器组药物残余量明显下降,均控制在0.1 mL以内;储备液(卡络磺钠和头孢西丁钠)在4℃冰箱放置24 h后,结果显示:药品含量稳定,含量变化控制在95%以内且溶液的颜色均未发生明显变化;不溶性微粒数量检测和成品输液药品含量、沉降菌检查结果符合药典规定;静配人员4个月损伤机器组明显低于人工组(P<0.05)。输液配置时长在10袋、20袋、30袋时,2组间无明显差异,在40袋和50袋时,机器组加药时长明显低于人工组,降幅分别达到了19%和26%。结论:静脉输液预调配模式在该医院PIVAS应用良好,可行性高,具有很好的应用前景。

关 键 词:预调配  储备液  智能加样机  PIVAS  
收稿时间:2019-04-28

The quality control and application of pre-conditioning mode for intravenous infusion
ZHOU Qin,LIU Xin,LI Ran,XUE Su-dong.The quality control and application of pre-conditioning mode for intravenous infusion[J].Chinese Journal of Hospital Pharmacy,2019,39(21):2222-2226,2244.
Authors:ZHOU Qin  LIU Xin  LI Ran  XUE Su-dong
Institution:Nanjing Medical University Affiliated Suzhou Hospital, Suzhou City Hospital, Jiangsu Suzhou 215002, China
Abstract:OBJECTIVE To explore the feasibility and prospect of predispensing of intravenous infusion in hospital PIVAS by testing the relevant indexes of intelligent dosing machine and stock solution.METHODS The stability and residual amount of the intelligent sample pump infusion pump were determined. The content of the stock solution drug, the number of microsomes, and the yield of the finished product were detected. The damage of static personnel and the detection of the length of infusion were analysed and studied. RESULTS The performance of the infusion pump of the intelligent dosing machine was stable, and the experimental error of single output was controlled within ±4%. Compared with the artificial group, the residual amount of the machine group decreased significantly, and the residual amount was controlled within 0.1 mL. After the storage solution(Carbosulfonate and Cefoxitin sodium) was placed for 24 h, the drug content was stable, controlled within 95% and the color of the solution did not change significantly. The quantity of insoluble particles, the finished infusion drug content and sedimentation test results are in compliance with the pharmacopoeia regulations. Compared with the artificial group, the injury of the static staff was significantly decreased in 4 months, P<0.05, and the difference was statistically significant. There was no significant difference between the two groups when the infusion was prepared in 10 bags, 20 bags and 30 bags. However, In 40 bags and 50 bags, the length of the machine group was significantly lower than that of the artificial group with a decrease of 19% and 26%, respectively. CONCLUSION The predispensing mode of intravenous infusion is well applied in PIVAS of our hospital, which has high feasibility and good application prospects.
Keywords:predispensing  stock solution  smart sampler  PIVAS  
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