Significant Predictors of Azithromycin in Population Pharmacokinetic Analysis: A Systematic Review.

IF 4.7 2区 医学 Q1 CHEMISTRY, MEDICINAL
Drug Design, Development and Therapy Pub Date : 2025-07-04 eCollection Date: 2025-01-01 DOI:10.2147/DDDT.S519597
Runcong Zhang, Yuebin Fang, Yinhui Wang, Jing Fan, Weiming Yin, Weibin Fan, Yuetian Yu, Bin Lin
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引用次数: 0

Abstract

Azithromycin is widely used to treat infections caused by susceptible bacteria and is the first-line treatment for mycoplasma pneumonia in pediatric patients. However, in clinical practice, large between-patient variability has been observed. Several population pharmacokinetic studies have been conducted to identify covariates and guide individualized therapy. This study evaluated published population pharmacokinetic studies and explored the significant covariates. The PubMed, Embase, and Web of science databases were systematically searched from their inception to 30 May 2024. Information on study design, characteristics, and final model parameters was extracted and compared. Time-concentration curves and forest plots were used to examine pharmacokinetic characteristics and identify covariates, respectively. Fifteen population pharmacokinetic studies were included in the review: three involved preterm neonates, two involved children, two involved pregnant/non-pregnant women, and eight involved adults. The median apparent clearance value was higher for adults (1.66 L/h/kg) than for children (1.28 L/h/kg) and preterm neonates (0.187 L/h/kg). For all populations, body weight significantly influenced the apparent clearance and distribution volume. In children, age and liver function influenced azithromycin clearance; whereas for women, clearance was reduced by 38% in case of pregnancy, non-African descent, and oral contraceptive use. Azithromycin was shown to distribute across plasma, tissues, and cells, with notable concentration differences. The azithromycin dose regimen is determined based on body weight. However, for children and women, additional predictors should be considered for individualized therapy. Further azithromycin population studies of the dose-exposure-response relationship are needed to achieve accurate dose adjustments.

阿奇霉素在人群药代动力学分析中的重要预测因素:一项系统综述。
阿奇霉素广泛用于治疗敏感菌引起的感染,是小儿支原体肺炎患者的一线治疗药物。然而,在临床实践中,观察到患者之间存在很大的差异。一些人群药代动力学研究已经进行,以确定协变量和指导个体化治疗。本研究评估了已发表的人群药代动力学研究,并探讨了重要的协变量。PubMed、Embase和Web of science数据库从建立到2024年5月30日被系统地检索。提取并比较研究设计、特征和最终模型参数的信息。时间-浓度曲线和森林图分别用于检测药代动力学特征和确定协变量。本综述纳入了15项人群药代动力学研究:3项涉及早产儿,2项涉及儿童,2项涉及孕妇/非孕妇,8项涉及成年人。成人的表观清除率中位数(1.66 L/h/kg)高于儿童(1.28 L/h/kg)和早产儿(0.187 L/h/kg)。在所有种群中,体重显著影响表观清除率和分布体积。在儿童中,年龄和肝功能影响阿奇霉素清除率;而对于女性来说,怀孕、非非洲人后裔和口服避孕药的清除率降低了38%。阿奇霉素分布在血浆、组织和细胞中,浓度差异显著。阿奇霉素的剂量方案是根据体重确定的。然而,对于儿童和妇女,个体化治疗应考虑其他预测因素。需要对阿奇霉素剂量-暴露-反应关系进行进一步的人群研究,以实现准确的剂量调整。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Drug Design, Development and Therapy
Drug Design, Development and Therapy CHEMISTRY, MEDICINAL-PHARMACOLOGY & PHARMACY
CiteScore
9.00
自引率
0.00%
发文量
382
审稿时长
>12 weeks
期刊介绍: Drug Design, Development and Therapy is an international, peer-reviewed, open access journal that spans the spectrum of drug design, discovery and development through to clinical applications. The journal is characterized by the rapid reporting of high-quality original research, reviews, expert opinions, commentary and clinical studies in all therapeutic areas. Specific topics covered by the journal include: Drug target identification and validation Phenotypic screening and target deconvolution Biochemical analyses of drug targets and their pathways New methods or relevant applications in molecular/drug design and computer-aided drug discovery* Design, synthesis, and biological evaluation of novel biologically active compounds (including diagnostics or chemical probes) Structural or molecular biological studies elucidating molecular recognition processes Fragment-based drug discovery Pharmaceutical/red biotechnology Isolation, structural characterization, (bio)synthesis, bioengineering and pharmacological evaluation of natural products** Distribution, pharmacokinetics and metabolic transformations of drugs or biologically active compounds in drug development Drug delivery and formulation (design and characterization of dosage forms, release mechanisms and in vivo testing) Preclinical development studies Translational animal models Mechanisms of action and signalling pathways Toxicology Gene therapy, cell therapy and immunotherapy Personalized medicine and pharmacogenomics Clinical drug evaluation Patient safety and sustained use of medicines.
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