药品不良反应信号的验证和统计分析研究方法的探索——基于克林霉素注射剂致肾毒性的不良反应监测数据

摘要

目的 探索自愿报告药品不良反应信号的提取、验证及分析研究方法和模式.方法 利用比例失衡法和单因素分析方法,对国家药品不良反应数据库中有关克林霉素注射剂肾毒性的不良反应数据,进行信号的提取、验证和分析.结果 克林霉素注射剂致肾损害的ROR值为65.0,盐酸盐和磷酸酯致肾损害的ROR值分别为114.0、14.7;调整年龄、单次给药剂量后,盐酸克林霉素注射剂致肾损害的风险分别是克林霉素磷酸酯注射剂的6.6倍和5.5倍(P <0.001);药品不良反应评价流程包括药品不良反应信号的提取、药品不良反应信号的验证、药品不良反应信号的分析研究3个流程.结论 克林霉素注射剂与肾毒性不良反应存在关联性,盐酸克林霉素注射剂致肾损害风险高于克林霉素磷酸酯注射剂,但其机制仍需要进一步研究分析;综合运用数据挖掘和统计方法,可在药品不良反应信号提取、验证和分析研究中提供更有利的证据.%Objective To establish the model of adverse drug reaction signal detection, validation and statistics analysis methods. Methods Using the measures of disproportionality and stratified analysis to establish the model of adverse drug reaction signal detection, validation and analysis research by the clindamycin injection's renal toxicity adverse reaction monitoring data. Rssults The ROR of clindamycin injection, clindamycin hydrochloride injection and clindamycin phosphate injection were 65.0, 114.0 and 14.7, respectively. The risks of renal damage of clindamycin hydrochloride injection were 6.6 times and 5.5 times than clindamycin phosphate injection after adjusting the age and single drug dose(P <0.001). It has been successfully established the model of adverse drug reaction signal detection, validation and analysis research. Conclusion There is strong relevance between clindamycin and renal toxicity adverse reaction, and the risk of renal damage of clindamycin hydrochloride injection was higher than clindamycin phosphate injection, but more researches are needed to verify it. The integrated use of data mining and statistics methods can make more favorable evidence for adverse drug reaction signal detection, validation and analysis research.