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作 者:张林爽 陈君豪 李珏 李樱红 陶巧凤 ZHANG Linshuang;CHEN Junhao;LI Jue;LI Yinghong;TAO Qiaofeng(Zhejiang Institute for Food and Drug Control,Hangzhou 310000,China;NMPA Key Laboratory for Testing and Risk Warning of Pharmaceutical Microbiology,Hangzhou 310000,China)
机构地区:[1]浙江省食品药品检验研究院,杭州310000 [2]国家药品监督管理局药品微生物检测与预警重点实验,杭州310000
出 处:《中国现代应用药学》2024年第15期2071-2077,共7页Chinese Journal of Modern Applied Pharmacy
基 金:浙江省药品监督管理与产业发展研究会课题(ZYH2022014)。
摘 要:目的全面了解浙江省高风险药品生产企业制药用水微生物限度的检验能力,探讨基于盲样考核的高风险药品生产企业制药用水微生物质量监督新模式。方法借鉴实验室比对和盲样考核的手段在浙江省范围开展实验室评估,数据分析采用稳健Z比分数法和盲样特性制定评价原则。结果共获得55家实验室总计165个检验结果,45家实验室获得满意结果,10家实验室结果偏离,7家偏离实验室结果负偏离,1家偏离实验室上报假阳性结果,2家企业2种偏离同时存在。结论90%偏离实验室存在假阴性或数值偏低风险,日常水系统微生物监测数据可能数值偏低,不能有效发现制药用水的质量风险。30%偏离实验室存在微生物污染风险。可能存在样品污染、检测环境污染和无菌操作不规范等问题。基于盲样考核的微生物质量监督新模式可以助力企业提升微生物控制能力,确保药品质量安全。OBJECTIVE To assess the supervision level of microbiological limit tests of pharmaceutical water in pharmaceutical manufacturers of high-risk drug in Zhejiang Province,and to explore a new microbiological supervision model of pharmaceutical water based on blind sample assessment.METHODS Used the methods of inter-laboratory comparison and blind sample assessment to evaluate the labs in Zhejiang province,and Robust Z-score method and blind sample characteristics were used to formulate evaluation principles for data analysis.RESULTS A total of 165 test results were obtained from 55 laboratories,45 labs obtained satisfactory results,10 labs got questionable results,7 deviated labs reported negative results,1 deviated lab reported false positive results,and 2 kinds of deviations existed simultaneously in 2 labs.CONCLUSION 90%of labs have the risk of false-negative or low value risk.The daily microbiological monitoring data of the water system may be relatively low,and the quality risk of pharmaceutical water cannot be effectively found.30%deviated labs have microbial pollution risk.There may be problems such as sample pollution risk,environmental pollution risk and non-standard aseptic operation.The new microbiological supervision model based on blind sample assessment can help enterprises improve their microbial control capabilities and ensure drug quality and safety.
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