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伏立康唑血药浓度偏高的风险预测模型的构建OA北大核心CSTPCD

Construction of a risk prediction model for high plasma concentra-tion of voriconazole

中文摘要英文摘要

目的:构建和验证伏立康唑血药浓度偏高发生风险的预测模型,指导临床伏立康唑个体化用药.方法:基于医院信息系统(HIS)的真实世界数据,收集本院2017年8月至2021年8月期间接受伏立康唑治疗并进行了伏立康唑血药浓度监测的住院患者的病例信息.对纳入的影响因素进行单因素和多因素Logistic回归分析,同时为了最大限度地减少变量间的潜在共线性和过拟合度,采用最小绝对收缩和选择算子回归进行潜在预测变量的筛选.Logistic回归分析进行伏立康唑血药浓度偏高发生风险预测模型的构建,使用C-指数、校准图和临床决策曲线分析评价模型的区分度、一致性和临床可用性,并绘制列线图.结果:纳入147例患者,筛选出血浆白蛋白、降钙素原作为预测变量进行Logistic回归分析,构建预测模型,建立回归方程为logit(P)=2.965+0.508×PCT-0.144×白蛋白.绘制预测伏立康唑血药浓度偏高发生风险列线图.受试者操作特征曲线显示,预测模型预测伏立康唑血药浓度偏高发生风险的AUC为0.787(95%CI 0.663-0.911).伏立康唑血药浓度偏高的发生率截止值为33.06%,敏感度为 63.64%,特异度为 87.65%,阳性预测值58.33%,阴性预测值为89.87%.校准曲线显示较好的一致性,临床决策曲线得出在阈值概率介于6.67%~99.99%时,模型具有正的净效益.结论:伏立康唑血药浓度偏高发生风险的预测模型具有良好的预测效能,可为临床伏立康唑的个体化用药提供指导.

AIM:To develop and validate a predic-tive model for the risk of high plasma concentra-tion of voriconazole,and to guide clinical individual-ized medication of voriconazole.METHODS:Based on the real-world data from the hospital Informa-tion system(HIS),the clinical data of hospitalized patients who received voriconazole treatment and underwent voriconazole plasma concentration monitoring in our hospital from August 2017 to Au-gust 2021 were collected.Univariate and multivari-ate logistic regression analysis were performed on the included influencing factors.At the same time,in order to minimize the potential collinearity and overfitting between variables,the least absolute shrinkage and selection operator regression were used to screen the potential predictors.Logistic re-gression analysis was used to construct a predic-tion model for the risk of high plasma concentra-tion of voriconazole.C-index,calibration chart and clinical decision curve analysis were used to evalu-ate the discrimination,consistency and clinical ap-plicability of the model,and a nomogram was drawn.RESULTS:A total of 147 patients were en-rolled in this study.Plasma albumin and procalcito-nin were selected as predictive variables for Logis-tic regression analysis,and the prediction model was established.Draw predict voriconazole nomo-gram risk blood drug concentration on the high side.The receiver operating characteristic curve showed that the AUC of the prediction model for predicting the risk of high plasma concentration of voriconazole was 0.787(95%CI 0.663-0.911).Vori-conazole blood drug concentration was high inci-dence of cut-off value was 33.06%,sensitivity was 63.64%,87.65%and 58.33%positive predictive val-ue,negative predictive value of 89.87%.The cali-bration curve showed good consistency,and the clinical decision curve showed that the model had a positive net benefit when the threshold probabili-ty was between 6.67%and 99.99%.CONCLUSION:The predictive model for the risk of high plasma concentration of voriconazole has good predictive efficacy,which can provide guidance for clinical in-dividualized medication of voriconazole.

周菊香;李艳飞;吕芳君;李带田;张继红;伍继初

邵阳市中心医院药学部,邵阳 422000,湖南邵阳市中心医院老年老干科,邵阳 422000,湖南

药学

伏立康唑血药浓度降钙素原血浆白蛋白预测模型

voriconazoleblood drug concentra-tionprocalcitoninplasma albuminprediction model

《中国临床药理学与治疗学》 2024 (006)

653-660 / 8

邵阳市本级指导性科技计划项目(2021066ZD);湖南省自然科学基金区域联合基金项目(2023JJ50252)

10.12092/j.issn.1009-2501.2024.06.007

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