Privitera M D, Homan R W, Ludden T M, Peck C C, Vasko M R
Department of Neurology, Veterans Administration Medical Center, Dallas, Texas.
Ther Drug Monit. 1989;11(3):285-94. doi: 10.1097/00007691-198905000-00011.
We performed two studies to assess the clinical utility of a Bayesian regression analysis computer program for phenytoin (PHT). In a randomized prospective study of 40 epileptic patients, the dosing program was significantly more accurate (p = 0.002) and less biased (p = 0.02) than a group of physicians at hitting a target PHT serum-concentration. Initial serum PHT concentrations that were not steady state were associated with the largest dosing errors by physicians but did not affect the accuracy of the dosing program. In a second study, we used the dosing program to predict 91 serum concentrations in 31 patients with PHT toxicity after the drug was stopped (initial concentration 26-69 micrograms/ml). The program predicted serum concentrations with a mean error of 3.49 +/- 0.29 micrograms/ml without significant tendency to over- or underpredict. We conclude that this dosing program may aid clinicians by improving dosing accuracy and predicting serum concentrations in patients with PHT toxicity.
我们开展了两项研究,以评估苯妥英(PHT)贝叶斯回归分析计算机程序的临床实用性。在一项针对40名癫痫患者的随机前瞻性研究中,与一组医生相比,该给药程序在达到目标PHT血清浓度方面显著更准确(p = 0.002)且偏差更小(p = 0.02)。医生的最大给药误差与未达到稳态的初始血清PHT浓度有关,但这并不影响给药程序的准确性。在第二项研究中,我们使用该给药程序预测了31名PHT中毒患者停药后(初始浓度为26 - 69微克/毫升)的91个血清浓度。该程序预测血清浓度的平均误差为3.49 +/- 0.29微克/毫升,且无明显的高估或低估趋势。我们得出结论,该给药程序可通过提高给药准确性和预测PHT中毒患者的血清浓度来帮助临床医生。