中国临床药理学与治疗学2017，Vol.22Issue(8)：904-909,6.
基于PLSR算法的CR-KP检出率与抗菌药物使用相关性研究
Correlation analysis between the detection rate of CR-KP and the utilization of antibacterial drugs based on PLSR algorithm
摘要
Abstract
AIM:To provide guidance for the reasonable clinical usage of antibacterial drugs by employing the partial least squares regression (PLSR) algorithm to analyze the correlation between the detection rate of carbapenem-resistant Klebsiella pneumoniae (CR-KP) and the utilization of antibacterial drugs.METHODS:Different PLSR models were established with the defined daily doses (DDDs) of antibacterial drugs in different quarters as independent variables and the detection rate of CR-KP with same and different periods (lagged 1-4 quarters) as dependent variables.The lag time between the detection rate of CR-KP and the utilization of antibacterial drugs was investigated.The antibacterial drugs,which were highly correlated to the detection rate of CR-KP were screened.The influences of the antibacterial drugs on the detection rate of CR-KP were then investigated according to the regression coefficients.RESULTS:The detection rate of CR-KP lagged about two quarters behind the utilization of antibacterial drugs.It was significantly positively correlated with the DDDs of amoxicillin-clavulanic acid and sulbenicillin,while negatively correlated with the DDDs of itraconazole.The regression coefficients of amoxicillin-clavulanic acid,itraconazole and sulbenicillin were 0.085 2,-0.083 9 and 0.076 3,respectively.CONCLUSION:It is effective to employ PLSR algorithm to simultaneously analyze the correlation between the detection rate of CR-KP and the utilization of multiple antibacterial drugs,which provides a new scientific tool for controlling the detection rate of CR-KP.关键词
偏最小二乘回归/碳青霉烯耐药肺炎克雷伯菌/耐药性/抗菌药物/用药频度Key words
partial least squares regression/carbapenem-resistant Klebsiella pneumoniae/drug resistance/antibacterial drugs/defined daily doses分类
医药卫生引用本文复制引用
蒋程,李芳琼,叶佐武,孙云峰,张美玲,李功华..基于PLSR算法的CR-KP检出率与抗菌药物使用相关性研究[J].中国临床药理学与治疗学,2017,22(8):904-909,6.基金项目
浙江省公益技术应用研究计划项目(2016C33127) （2016C33127）
浙江省中医药科技计划项目(2015ZQ007) （2015ZQ007）
浙江省药学会医院药学专项科研资助项目(2014ZYY10) （2014ZYY10）
