Optimizing risk predictive strategies in febrile neutropenic episodes in children and young people with malignant disease

优化患有恶性疾病的儿童和青少年发热性中性粒细胞减少发作的风险预测策略

• 批准号: G0800472/1
• 负责人: Robert Phillips
• 金额: $ 27.74万
• 依托单位: University of York
• 依托单位国家: 英国
• 项目类别: Fellowship
• 财政年份: 2008
• 资助国家: 英国
• 起止时间: 2008 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=G0800472%2F1
• 关键词: Optimizing; risk; predictive; strategies; febrile

This project will develop a method of identifying children and young adult patients at low risk of harm when they present with febrile neutropenia, a complication of treatment for cancer. This may allow us to reduce the intensity or duration of the aggressive in-patient antibiotic treatment we currently use. The project will use individual patient data (IPD) pooled analysis, where the data from previously conducted studies are brought together and analysed to come to a more precise conclusion than any individual study could.The project will form an international collaboration to collect the data, which will include researchers, doctors and parents. The analysis will try to find out if there are particular factors that would help us predict which children have the best outcomes. We will start by looking at the simplest information (such as the age of the child, or their diagnosis) and build in more complex data (such as specialized blood test results) to see if these make the prediction more accurate. The results of this analysis will be tested, and the potential economic effects estimated. The methods used in performing IPD analysis will also be investigated, advancing our understanding of how best to conduct such studies.

该项目将开发一种方法，在出现发热性中性粒细胞减少症（癌症治疗的一种并发症）的儿童和年轻成人患者中，识别出危害风险较低的患者。这可能使我们能够减少我们目前使用的侵略性住院抗生素治疗的强度或持续时间。该项目将使用个体患者数据（IPD）汇总分析，将以前进行的研究的数据汇集在一起并进行分析，以得出比任何单个研究都更精确的结论。该项目将形成一个包括研究人员、医生和家长在内的国际合作来收集数据。分析将试图找出是否有特定的因素可以帮助我们预测哪些孩子会有最好的结果。我们将从最简单的信息（比如孩子的年龄，或者他们的诊断）开始，然后加入更复杂的数据（比如专门的血液测试结果），看看这些数据是否能使预测更准确。将对分析结果进行检验，并对潜在的经济影响进行估计。在执行IPD分析中使用的方法也将被调查，提高我们对如何最好地进行此类研究的理解。