Suppr超能文献

2009 - 2010年甲型H1N1流感病毒大流行期间儿科人群疾病严重程度的临床预测因素

Clinical predictors of disease severity during the 2009-2010 A(HIN1) influenza virus pandemic in a paediatric population.

作者信息

Garcia M N, Philpott D C, Murray K O, Ontiveros A, Revell P A, Chandramohan L, Munoz F M

机构信息

Baylor College of Medicine and Texas Children's Hospital,Department of Pediatrics,Section of Tropical Medicine, and the National School of Tropical Medicine,Houston,TX,USA.

Texas Children's Hospital,Department of Pathology and Immunology,Houston,TX,USA.

出版信息

Epidemiol Infect. 2015 Oct;143(14):2939-49. doi: 10.1017/S0950268815000114. Epub 2015 Feb 2.

Abstract

A novel influenza virus emerged in the United States in spring 2009, rapidly becoming a global pandemic. Children were disproportionally affected by the novel influenza A(H1N1) pandemic virus [A(H1N1)pdm]. This retrospective electronic medical record review study aimed to identify clinical predictors of disease severity of influenza A(HIN1)pdm infection in paediatric patients. Disease severity was defined on an increasing three-level scale from non-hospitalized, hospitalized, and admitted to the intensive care unit (ICU). From April 2009 to June 2010, 696 children presented to Texas Children's Hospital's emergency department, 38% were hospitalized, and 17% were admitted to the ICU. Presenting symptoms associated with severe influenza were dyspnoea [odds ratio (OR) 5·82], tachycardia (OR 2·61) and fatigue (OR 1·96). Pre-existing health conditions associated with disease severity included seizure disorder (OR 4·71), obesity (OR 3·28), lung disease (OR 2·84), premature birth (OR 2·53), haematological disease (OR 2·22), and developmental delay (OR 2·20). According to model fitness tests, presenting symptoms were more likely to predict severe influenza than underlying medical conditions. However, both are important risk factors. Recognition of clinical characteristics associated with severe disease can be used for triaging case management of children during future influenza outbreaks.

摘要

2009年春季,一种新型流感病毒在美国出现,并迅速演变成一场全球大流行。儿童受到新型甲型H1N1流感大流行病毒[A(H1N1)pdm]的影响尤为严重。这项回顾性电子病历审查研究旨在确定儿科患者感染甲型H1N1流感大流行病毒疾病严重程度的临床预测因素。疾病严重程度按照从非住院、住院到入住重症监护病房(ICU)的三级递增标准进行定义。2009年4月至2010年6月期间,696名儿童前往德克萨斯儿童医院急诊科就诊,其中38%住院治疗,17%入住ICU。与严重流感相关的症状包括呼吸困难[比值比(OR)5.82]、心动过速(OR 2.61)和乏力(OR 1.96)。与疾病严重程度相关的既往健康状况包括癫痫症(OR 4.71)、肥胖(OR 3.28)、肺部疾病(OR 2.84)、早产(OR 2.53)、血液系统疾病(OR 2.22)和发育迟缓(OR 2.20)。根据模型拟合检验,就诊时的症状比潜在的基础疾病更有可能预测严重流感。然而,两者都是重要的风险因素。识别与严重疾病相关的临床特征可用于在未来流感暴发期间对儿童病例管理进行分诊。

相似文献

引用本文的文献

2
Insights in paediatric virology during the COVID-19 era (Review).COVID-19 时代的儿科病毒学见解(综述)
Med Int (Lond). 2022 May 17;2(3):17. doi: 10.3892/mi.2022.42. eCollection 2022 May-Jun.
9
Vaccination in preterm and low birth weight infants in India.印度早产儿和低出生体重儿的疫苗接种。
Hum Vaccin Immunother. 2022 Dec 31;18(1):1-12. doi: 10.1080/21645515.2020.1866950. Epub 2021 Feb 18.

本文引用的文献

5
Clinical features of severe influenza A (H1N1) virus infection.严重甲型流感(H1N1)病毒感染的临床特征。
Indian J Pediatr. 2013 Feb;80(2):97-101. doi: 10.1007/s12098-012-0784-y. Epub 2012 Jun 7.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验