经验性万古霉素给药建议在儿科

Sonia J. Patel
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摘要

目的:主要目的是确定特定年龄组中每6小时和每8小时间隔给药一次的万古霉素目标谷值范围内的患者百分比。次要目标是每个年龄组和在目标范围内与不在目标范围的患者的平均谷值。方法:对157名儿科患者进行了一年(2009-2010年8月)的回顾性图表回顾。评估了四组患者:一个月至八岁以下的患者,间隔八小时和六小时接受万古霉素治疗(分别为第一组和第二组),八至十八岁的患者,每隔八小时和6小时接受万古霉素药物治疗(分别是第三组和第四组)。推断统计学用于进行独立的t检验和Fischer精确检验,以比较平均稳态谷值、百分比和mg/kg给药。结果:目标万古霉素谷值的百分比如下:第一组21%,第二组59%,第三组42%,第四组40%。对于稳态谷值,第一组与第二组的p=0.001,其余组无统计学意义(第三组与第四组、第一组与第三组和第二组与第四组)。结论:1个月至8岁以下的患者可能更有可能实现万古霉素谷值为每6小时10至15的目标;然而,由于p值没有统计学意义,因此无法对8至18岁患者的给药间隔得出结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Empiric Vancomycin Dosing Recommendations in Pediatrics
Objectives : The primary objective was to determine the percentage of patients within specific age groups that fell within goal vancomycin trough range with every 6 hour and every 8-hour interval dosing. Secondary objectives were mean trough in each age group and patients that fell within goal versus not within goal. Methods: A retrospective chart review of 157 pediatric patients for one year (August 2009-2010) was conducted. Four groups were assessed: patients one month to less than eight years of age receiving vancomycin at eight- and six-hour intervals (groups one and two respectively) and eight to eighteen years of age receiving vancomycin at eight and six hour intervals (groups three and four respectively).Inferential statistics were used to conduct independent t-tests and Fischer’s exact tests to compare mean steady state trough levels, percentages and mg/kg dosing. Results : Percentage of goal vancomycin trough values were as follows: 21% group one, 59% group two, 42% group three and 40% group four. For steady state trough levels, p = 0.001 for groups one vs. two and the rest were not statistically significant (groups three vs. four, one vs. three and two vs. four). Conclusion: Patients one month to less than eight years of age may be more likely to achieve a goal vancomycin trough of ten to fifteen with every six-hour interval; however, a conclusion cannot be made on a dosing interval for patients eight to eighteen years of age since p-values were not statistically significant.
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