Biomarkers to predict severity in dengue infection

预测登革热感染严重程度的生物标志物

• 批准号: G0801508/1
• 负责人: Gavin Screaton
• 金额: $ 73.4万
• 依托单位: Imperial College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2009
• 资助国家: 英国
• 起止时间: 2009 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=G0801508%2F1
• 关键词: Biomarkers; predict; severity; dengue; infection

Dengue is a mosquito bourne viral infection of the tropics and subtropics. It can lead to a severe haemorrhagic fever that can be fatal unless treated in hospital. At the early stages it is impossible to judge which patients are going to suffer the more severe symptoms and should be admitted to hospital. During epidemics literally thousands of cases can occur at the same time and completely overwhelm the hospital systems. This research aims to develop a simple predictor of disease severity which would allow the high risk patients to be admitted to hospital whilst those at lower risk could be managed at home.

登革热是热带和亚热带地区的一种蚊子传播的病毒性传染病。它可能导致严重的出血热，除非在医院治疗，否则可能致命。在早期阶段，不可能判断哪些患者将遭受更严重的症状，应该入院治疗。在流行病期间，几乎可以同时发生数千例病例，使医院系统不堪重负。这项研究旨在开发一种简单的疾病严重程度预测器，使高风险患者能够住院，而低风险患者可以在家中进行管理。