Unit of Clinical Pharmacology, Luigi Sacco University Hospital, University of Milan, via G B Grassi 74, Milan, Italy.
Pharmacol Res. 2012 Feb;65(2):163-7. doi: 10.1016/j.phrs.2011.09.011. Epub 2011 Oct 12.
Kidney transplantation in pediatric patients has become a successful and routine procedure, with overall 1-year patient and graft survival rates exceeding 95%. These success rates, however, are not maintained in the long-term, as reported 10-year graft survival rates are in the 50-60% range. Further improvement of long-term allograft survival in pediatric transplantation requires specific focus on long term complications such as increased cardiovascular risk and over-immunosuppression, two linked conditions. One approach to avoid inadequate immunosuppression is to more aggressively tailor immunosuppressive treatment based on individual patient needs. This strategy is currently pursued in the pediatric transplant setting by implementation of individualized therapeutic management of drug concentrations and total exposure. In addition, there is increasing evidence that pharmacogenetic testing may equally benefit individualized immunosuppressive therapy through the identification of SNPs and haplotypes predictive of encoding of proteins involved in drug transport, metabolism and response (efficacy/toxicity). The next challenge will be to provide real time web-based access to all patient information including pharmacokinetic, pharmacodynamic and genotyping data as part of a dosing algorithm or decision support tool with the ultimate goal to adaptively predict and control immunosuppressant exposure and response in individual patients to improve long-term outcomes after kidney transplantation.
儿童患者的肾移植已成为一种成功且常规的手术,总体 1 年患者和移植物存活率超过 95%。然而,这些成功率在长期内无法维持,因为据报道,10 年移植物存活率在 50-60%范围内。要进一步提高儿科移植中同种异体移植物的长期存活率,需要特别关注长期并发症,如心血管风险增加和过度免疫抑制,这两种情况是相互关联的。避免免疫抑制不足的一种方法是根据患者的个体需求更积极地调整免疫抑制治疗。这种策略目前在儿科移植环境中通过实施药物浓度和总暴露的个体化治疗管理来实现。此外,越来越多的证据表明,药物遗传学检测可能通过鉴定与药物转运、代谢和反应(疗效/毒性)相关的编码蛋白的 SNP 和单倍型,同样有益于个体化免疫抑制治疗。下一个挑战将是为所有患者信息(包括药代动力学、药效动力学和基因分型数据)提供实时的基于网络的访问,作为剂量算法或决策支持工具的一部分,最终目标是自适应预测和控制个体患者的免疫抑制剂暴露和反应,以改善肾移植后的长期结果。