基于PLSR算法的CR-KP检出率与抗菌药物使用相关性研究

目的: 采用偏最小二乘回归（PLSR）算法分析碳青霉烯耐药肺炎克雷伯菌（CR-KP）检出率与抗菌药物使用的相关性，为抗菌药物临床的合理使用提供指导。方法: 以不同季度抗菌药物的用药频度（DDDs）为自变量，以同期及滞后不同时期（1～4个季度）CR-KP的检出率为因变量，分别建立PLSR模型，分析CR-KP检出率比抗菌药物使用的滞后性。根据各变量的回归系数，筛选与CR-KP检出率相关性较显著的抗菌药物，明确不同品种对CR-KP检出率的影响。结果: CR-KP的检出率滞后于抗菌药物的使用两个季度，与阿莫西林-克拉维酸、磺苄西林的DDDs正相关性较显著，与伊曲康唑的DDDs负相关性较显著。阿莫西林-克拉维酸、伊曲康唑、磺苄西林的回归系数分别为0.085 2、-0.083 9、0.076 3。结论: PLSR算法可用于同时分析CR-KP检出率与多种抗菌药物使用的相关性，可为CR-KP检出率控制提供依据。

Correlation analysis between the detection rate of CR-KP and the utilization of antibacterial drugs based on PLSR algorithm

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.