Incidence and etiology of pneumonia in children

儿童肺炎的发病率和病因

• 批准号: 8340463
• 负责人: JONATHAN A MCCULLERS
• 金额: $ 10万
• 依托单位: ST. JUDE CHILDREN'S RESEARCH HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2014-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8340463
• 关键词: Incidence; etiology; pneumonia; children

Pneumonia and influenza, taken together, are a leading cause of hospitalization and death in the United States. Although it has been appreciated for more than 2 centuries that influenza predisposes the host to secondary bacterial infections, the incidence and etiology of influenza-associated pneumonia has never been comprehensively studied. Several epidemiologic trends are fueling a desire to gain better insight into interactions between viruses and bacteria in the pathogenesis of pneumonia. In studies employing comprehensive diagnostic methods, the incidence of co-infections in CAP appears to be at least 40%. For these reasons, the time is right to undertake prospective study of the role of co-infections in pneumonia in children using comprehensive and sensitive diagnostic assays. We propose to conduct a clinical study of the incidence and etiology of pneumonia in hospitalized children at Le Bonheur Children's Hospital in Memphis, Tennessee in association with St. Jude Children's Research Hospital. We will use this opportunity to answer some interesting and important scientific questions about co-infections in this population. The underlying hypothesis for our Proposed Studies is that co-infections result in poorer outcomes than single infections. We will test this hypothesis by prospectively collecting sociodemographic, microbiological, clinical, and genomics data to determine associations with clinical outcomes.

肺炎和流感共同是住院和死亡的主要原因 在美国。尽管已有两个以上的世纪被人们赞赏 流感使宿主易患二次细菌感染，发病率和病因 从未对流感相关的肺炎进行全面研究。一些 流行病学趋势正在推动渴望更好地了解之间的互动 肺炎发病机理中的病毒和细菌。在使用的研究中 全面的诊断方法，CAP中的共感染的发生率似乎在 至少40％。由于这些原因，现在是正确研究的时机 使用全面和敏感的诊断，儿童肺炎的共同感染 测定。我们建议对肺炎的发病率和病因进行临床研究 在田纳西州孟菲斯的Le Bonheur儿童医院的住院儿童中 与圣裘德儿童研究医院的联系。我们将利用这个机会 回答有关共同感染的一些有趣而重要的科学问题 人口。我们提出的研究的基本假设是共同感染 比单一感染较差的结果。我们将通过前瞻性检验该假设 收集社会人口统计学，微生物学，临床和基因组学数据 与临床结果的关联。