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卡介苗标准化中的统计质量控制方法。

Statistical quality control methods in standardization of BCG vaccines.

作者信息

Lugosi L

出版信息

Dev Biol Stand. 1986;58 ( Pt A):213-27.

PMID:3596031
Abstract

The quality control of the BCG vaccine lacks the requirements of exact statistical methods, although the principles of bioassay have been required in the control of other biological products for a long time. For a remedy and to eliminate controversies in the interpretation of the laboratory results of BCG products valid statistical control is needed. In the four major laboratory test systems generally used to control: the viability of the BCG products, the residual virulence of the BCG strains, the allergenic potency and 4) the immunogenic potency of the BCG vaccines the following statistical methods should be required: estimations of the unbiased point and 95% confidence interval of the viable units 10(6)/ml, the mean residual virulence, the mean allergizing and protective capacity in appropriate models, the expressions of the relative potency of the in vitro viability and the in vivo test systems to a Reference Preparation, hypothesis tests using the unbiased estimates for the comparison of the estimated parameters of the controlled vaccines (Anova) and testing the stability of the viability (Regranal), multiple comparison with the ranked estimates to diminish Type I error in rejected null hypotheses, test of concordance between the sets of ranked parameters of the different test systems. Valid models will promote the standardization of the BCG vaccine, will ensure the objective statistical inference of the control results, the interpretation of the immunogenicity and reactogenicity of the BCG vaccines and the understanding of the epidemiological processes in tuberculosis.

摘要

卡介苗的质量控制缺乏精确统计方法的要求,尽管生物测定原则在其他生物制品的控制中已被要求很长时间了。为了补救并消除卡介苗产品实验室结果解释中的争议,需要有效的统计控制。在通常用于控制卡介苗产品的四个主要实验室测试系统中:卡介苗产品的活力、卡介苗菌株的残余毒力、致敏效力以及卡介苗疫苗的免疫原性效力,应要求采用以下统计方法:对每毫升10(6)个活单位的无偏点估计和95%置信区间、平均残余毒力、在适当模型中的平均致敏和保护能力、体外活力与体内测试系统相对于参考制剂的相对效力的表达、使用无偏估计进行假设检验以比较对照疫苗的估计参数(方差分析)以及测试活力的稳定性(雷格拉纳尔)、与排序估计进行多重比较以减少拒绝原假设时的I型错误、测试不同测试系统的排序参数集之间的一致性。有效的模型将促进卡介苗疫苗的标准化,确保对控制结果进行客观的统计推断、对卡介苗疫苗的免疫原性和反应原性进行解释以及对结核病流行病学过程的理解。

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