Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria.
Department of Nutritional Sciences, University of Vienna, Vienna, Austria.
Clin Microbiol Infect. 2023 Jul;29(7):845-857. doi: 10.1016/j.cmi.2023.03.018. Epub 2023 Mar 23.
Therapeutic drug monitoring and Model-informed precision dosing allow dose individualization to increase drug effectivity and reduce toxicity.
To evaluate the available evidence on the clinical efficacy of individualized antimicrobial dosing optimization.
Data sources: PubMed, Embase, Web of Science, and Cochrane Library databases from database inception to 11 November 2022.
Published peer-reviewed randomized controlled trials.
Human subjects aged ≥18 years receiving an antibiotic or antifungal drug.
Patients receiving individualized antimicrobial dose adjustment.
Cochrane risk-of-bias tool for randomized trials.
The primary outcome was the risk of mortality. Secondary outcomes included target attainment, treatment failure, clinical and microbiological cure, length of stay, treatment duration, and adverse events. Effect sizes were pooled using a random-effects model. Statistical heterogeneity was assessed by inconsistency testing (I).
Ten randomized controlled trials were included in the meta-analysis (1241 participants; n = 624 in the individualized antimicrobial dosing group and n = 617 in the control group). Individualized antimicrobial dose optimization was associated with a numerical decrease in mortality (risk ratio [RR] = 0.86; 95% CI, 0.71-1.05), without reaching statistical significance. Moreover, it was associated with significantly higher target attainment rates (RR = 1.41; 95% CI, 1.13-1.76) and a significant decrease in treatment failure (RR = 0.70; 95% CI, 0.54-0.92). Individualized antimicrobial dose optimization was associated with improvement, but not significant in clinical cure (RR = 1.33; 95% CI, 0.94-1.33) and microbiological outcome (RR = 1.25; CI, 1.00-1.57), as well as with a significant decrease in the risk of nephrotoxicity (RR = 0.55; 95% CI, 0.31-0.97).
This meta-analysis demonstrated that target attainment, treatment failure, and nephrotoxicity were significantly improved in patients who underwent individualized antimicrobial dose optimization. It showed an improvement in mortality, clinical cure or microbiological outcome, although not significant.
治疗药物监测和基于模型的精准给药可实现剂量个体化,从而提高药物疗效,降低毒性。
评估优化个体化抗菌药物剂量在临床疗效方面的现有证据。
数据来源:从数据库建立到 2022 年 11 月 11 日,检索 PubMed、Embase、Web of Science 和 Cochrane 图书馆数据库。
已发表的同行评议的随机对照试验。
年龄≥18 岁,接受抗生素或抗真菌药物治疗的患者。
接受个体化抗菌药物剂量调整的患者。
Cochrane 随机对照试验偏倚风险工具。
主要结局是死亡率。次要结局包括目标达成率、治疗失败率、临床和微生物学治愈率、住院时间、治疗持续时间和不良事件。使用随机效应模型汇总效应量。通过不一致性检验(I²)评估统计学异质性。
纳入了 10 项随机对照试验的荟萃分析(1241 名参与者;个体化抗菌药物剂量组 624 名,对照组 617 名)。个体化抗菌药物剂量优化与死亡率的数值降低相关(风险比 [RR] = 0.86;95%置信区间,0.71-1.05),但无统计学意义。此外,它与更高的目标达成率显著相关(RR = 1.41;95%置信区间,1.13-1.76),治疗失败率显著降低(RR = 0.70;95%置信区间,0.54-0.92)。个体化抗菌药物剂量优化与临床治愈率(RR = 1.33;95%置信区间,0.94-1.33)和微生物学结果(RR = 1.25;95%置信区间,1.00-1.57)的改善相关,但无统计学意义,与肾毒性风险的显著降低相关(RR = 0.55;95%置信区间,0.31-0.97)。
本荟萃分析表明,接受个体化抗菌药物剂量优化的患者,其目标达成率、治疗失败率和肾毒性显著改善。死亡率、临床治愈率或微生物学结果有所改善,但无统计学意义。