MEASURING THE PREDICTIVE PERFORMANCE OF COMPUTER-CONTROLLED INFUSION PUMPS
MEASURING THE PREDICTIVE PERFORMANCE OF COMPUTER-CONTROLLED INFUSION PUMPS
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DOI：
10.1007/bf01143186
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发表时间：
1992-02-01
期刊：
影响因子：
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通讯作者：
SHAFER, SL
中科院分区：
文献类型：
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作者：
VARVEL, JR;DONOHO, DL;SHAFER, SL
目前计算机控制的输液泵（CCIP）性能的测量定义不明确，对使用CCIP的临床医生几乎没有用处，并且在药物统计学上是不正确的。我们提出了四个衡量CCIP性能的指标：绝对性能误差中位数（MDAPE），性能误差中位数（MDPE），发散和摆动。这些措施与以前的措施相比有几个显著的优点。首先，他们的定义是基于性能误差作为预测（而不是测量）药物浓度的一部分，使措施更有用的临床医生。其次，以解决适当估计群体参数的药物统计学问题的方式定义这些指标。最后，不准确度的测量，MDAPE，定义的方式是一致的迭代加权最小二乘非线性回归，一种常用的方法估计药代动力学参数。这些措施使得有可能量化CCIP的总体性能或比较CCIP的预测性能，CCIP在两种一般方法中不同（例如，房室模型驱动与血浆外排方法）、泵力学、软件算法或药代动力学参数集。
Current measures of the performance of computer-controlled infusion pumps (CCIPs) are poorly defined, of little use to the clinician using the CCIP, and pharmacostatistically incorrect. We propose four measures be used to quantitate the performance of CCIPs: median absolute performance error (MDAPE), median performance error (MDPE), divergence, and wobble. These measures offer several significant advantages over previous measures. First, their definitions are based on the performance error as a fraction of the predicted (rather than measured) drug concentration, making the measures much more useful to the clinician. Second, the measures are defined in a way that addresses the pharmacostatistical issue of appropriate estimation of population parameters. Finally, the measure of inaccuracy, MDAPE, is defined in a way that is consistent with iteratively reweighted least squares nonlinear regression, a commonly used method of estimating pharmacokinetic parameters. These measures make it possible to quantitate the overall performance of a CCIP or to compare the predictive performance of CCIPs which differ in either general approach (e.g., compartmental model driven vs. plasma efflux approach), pump mechanics, software algorithms, or pharmacokinetic parameter sets.