在急性淋巴细胞白血病维护中评估药物定位实践的分析工具包
Tushar Mungle1,2, Ananya Mahadevan2, Jayanta Mukhopadhyay3
1School of Medical Sciences and Technology, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, 721 302, India.
JAMIA open
|September 16, 2024
概括
这项研究引入了一个基于R的工具包,用于评估急性淋巴细胞白血病 (ALL) 维持治疗期间口服抗代谢剂剂量. 该工具包有助于优化药物定位,通过确保足够的全身药物暴露来降低复发风险.
科学领域:
- 在瘤学瘤学.
- 药理学 药理学是指药理学的学科.
- 生物信息学是一种生物信息学.
背景情况:
- 精确的口服抗代谢剂量在急性淋巴细胞白血病 (ALL) 维持疗法 (MT) 期间至关重要,以最大限度地增加药物暴露并最大限度地降低复发风险.
- 在临床实践中,个性化剂量定位具有挑战性,往往导致药物暴露低于最佳水平.
研究的目的:
- 开发和介绍一个开源的基于R的分析工具包,用于评估ALLMT期间的抗代谢药物定位.
- 为分析个体患者和队列数据提供工具,以识别和纠正低于最佳的剂量模式.
主要方法:
- 开发基于R的分析工具包,包括allMT R包和R Shiny VIATAMIN应用程序.
- 使用基本可视化,毒性描述性分析和处方者合规性来评估药物定位.
- 分析个体患者的定位模式和队列级干预影响.
主要成果:
- 该工具包有助于在个别患者中识别可纠正的低最佳药物定位模式.
- 使用工具包的队列分析允许评估旨在优化MT药物定位的干预措施.
- 该工具包支持对药物定位,血液毒性和处方者合规性的评估.
结论:
- 开发的工具包可以提高在ALL维持治疗期间对抗代谢药物定位的评估.
- 将其集成到临床决策支持系统中,可以实时监测和调整药物定位.
- 未来的改进将包括临床毒性,坚持性和药理学标记,以进行全面的分析.
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