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本文引用的文献

1
The global distribution and burden of dengue.登革热的全球分布和负担。
Nature. 2013 Apr 25;496(7446):504-7. doi: 10.1038/nature12060. Epub 2013 Apr 7.
2
Critical illness from 2009 pandemic influenza A virus and bacterial coinfection in the United States.美国 2009 年大流行性流感病毒和细菌合并感染所致的重病。
Crit Care Med. 2012 May;40(5):1487-98. doi: 10.1097/CCM.0b013e3182416f23.
3
DengueTools: innovative tools and strategies for the surveillance and control of dengue.登革热工具:用于登革热监测和控制的创新工具和策略。
Glob Health Action. 2012;5. doi: 10.3402/gha.v5i0.17273. Epub 2012 Mar 22.
4
Incidence and seroprevalence of dengue virus infections in Australian travellers to Asia.澳大利亚亚洲旅行者登革热病毒感染的发病率和血清流行率。
Eur J Clin Microbiol Infect Dis. 2012 Jun;31(6):1203-10. doi: 10.1007/s10096-011-1429-1. Epub 2011 Oct 9.
5
Epidemiological factors associated with dengue shock syndrome and mortality in hospitalized dengue patients in Ho Chi Minh City, Vietnam.与越南胡志明市住院登革热患者中登革热休克综合征和死亡相关的流行病学因素。
Am J Trop Med Hyg. 2011 Jan;84(1):127-34. doi: 10.4269/ajtmh.2011.10-0476.
6
Defining the true sensitivity of culture for the diagnosis of melioidosis using Bayesian latent class models.使用贝叶斯潜在类别模型定义培养物诊断类鼻疽病的真实敏感性。
PLoS One. 2010 Aug 30;5(8):e12485. doi: 10.1371/journal.pone.0012485.
7
Inadequacy of temperature and white blood cell count in predicting bacteremia in patients with suspected infection.体温和白细胞计数在预测疑似感染患者菌血症方面的不足。
J Emerg Med. 2012 Mar;42(3):254-9. doi: 10.1016/j.jemermed.2010.05.038. Epub 2010 Jul 31.
8
Clinical and laboratory features that differentiate dengue from other febrile illnesses in an endemic area--Puerto Rico, 2007-2008.在流行地区(波多黎各,2007-2008 年),与其他发热性疾病相区别的登革热的临床和实验室特征。
Am J Trop Med Hyg. 2010 May;82(5):922-9. doi: 10.4269/ajtmh.2010.09-0552.
9
Evaluation of nonstructural 1 antigen assays for the diagnosis and surveillance of dengue in Singapore.评价非结构蛋白 1 抗原检测在新加坡登革热诊断和监测中的应用。
Vector Borne Zoonotic Dis. 2010 Dec;10(10):1009-16. doi: 10.1089/vbz.2008.0176. Epub 2010 Apr 28.
10
The 2007 dengue outbreak in Singapore.2007年新加坡登革热疫情。
Epidemiol Infect. 2010 Jul;138(7):958-9; author reply 959-61. doi: 10.1017/S0950268810000026. Epub 2010 Feb 10.

成人登革热患者合并细菌感染的鉴定。

Identification of concurrent bacterial infection in adult patients with dengue.

机构信息

University Medicine Cluster, National University Hospital, Singapore; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.

出版信息

Am J Trop Med Hyg. 2013 Oct;89(4):804-10. doi: 10.4269/ajtmh.13-0197. Epub 2013 Aug 26.

DOI:10.4269/ajtmh.13-0197
PMID:23980129
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3795118/
Abstract

We aim to construct a diagnostic model for bacterial coinfection in dengue patients (Dengue Dual Infection Score [DDIS]); 2,065 adult dengue patients (mean age = 41.9 ± 17.2 years, 58.4% male, 83 patients with bacterial coinfection) seen at a university hospital from January of 2005 to February of 2010 were studied. The DDIS was created by assigning one point to each of five risk factors for bacterial coinfection: pulse rate ≥ 90 beats/minute, total white cell count ≥ 6 × 10(9)/L, hematocrit < 40%, serum sodium < 135 mmol/L, and serum urea ≥ 5 mmol/L. The DDIS identified bacterial coinfection (derivation set area under the curve = 0.793, 95% confidence interval = 0.732-0.854; validation set area under the curve = 0.761, 95% confidence interval = 0.637-0.886). A DDIS of ≥ 4 had a specificity of 94.4%, whereas a DDIS of ≥ 1 had a sensitivity of 94.4% for bacterial coinfection. The DDIS can help to select dengue patients for early bacterial cultures and empirical antibiotics.

摘要

我们旨在构建一个用于诊断登革热患者细菌合并感染的模型(登革热双重感染评分[DDIS]);研究了 2005 年 1 月至 2010 年 2 月期间在一家大学医院就诊的 2065 例成年登革热患者(平均年龄=41.9±17.2 岁,男性占 58.4%,83 例患者合并细菌感染)。DDIS 通过为五个细菌合并感染的风险因素各分配 1 分来构建:脉搏≥90 次/分钟,总白细胞计数≥6×10(9)/L,血细胞比容<40%,血清钠<135mmol/L,血清尿素≥5mmol/L。DDIS 可识别细菌合并感染(验证集曲线下面积=0.761,95%置信区间=0.637-0.886)。DDIS≥4 分的特异性为 94.4%,而 DDIS≥1 分的敏感性为 94.4%。DDIS 有助于选择登革热患者进行早期细菌培养和经验性抗生素治疗。