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门诊环境下重症登革热早期预后的循证算法

An Evidence-Based Algorithm for Early Prognosis of Severe Dengue in the Outpatient Setting.

作者信息

Nguyen Minh Tuan, Ho Thi Nhan, Nguyen Van Vinh Chau, Nguyen Thanh Hung, Ha Manh Tuan, Ta Van Tram, Nguyen Le Da Ha, Phan Loi, Han Khoi Quang, Duong Thi Hue Kien, Tran Nguyen Bich Chau, Wills Bridget, Wolbers Marcel, Simmons Cameron P

机构信息

Children's Hospital No. 1, Ho Chi Minh City, Vietnam

Oxford University Clinical Research Unit, Hospital for Tropical Diseases, Oxford, England, UK.

出版信息

Clin Infect Dis. 2017 Mar 1;64(5):656-663. doi: 10.1093/cid/ciw863.

DOI:10.1093/cid/ciw863
PMID:28034883
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5850639/
Abstract

BACKGROUND

Early prediction of severe dengue could significantly assist patient triage and case management.

METHODS

We prospectively investigated 7563 children with ≤3 days of fever recruited in the outpatient departments of 6 hospitals in southern Vietnam between 2010 and 2013. The primary endpoint of interest was severe dengue (2009 World Health Organization Guidelines), and predefined risk variables were collected at the time of enrollment to enable prognostic model development.

RESULTS

The analysis population comprised 7544 patients, of whom 2060 (27.3%) had laboratory-confirmed dengue; nested among these were 117 (1.5%) severe cases. In the multivariate logistic model, a history of vomiting, lower platelet count, elevated aspartate aminotransferase (AST) level, positivity in the nonstructural protein 1 (NS1) rapid test, and viremia magnitude were all independently associated with severe dengue. The final prognostic model (Early Severe Dengue Identifier [ESDI]) included history of vomiting, platelet count, AST level. and NS1 rapid test status.

CONCLUSIONS

The ESDI had acceptable performance features (area under the curve = 0.95, sensitivity 87% (95% confidence interval [CI], 80%-92%), specificity 88% (95% CI, 87%-89%), positive predictive value 10% (95% CI, 9%-12%), and negative predictive value of 99% (95% CI, 98%-100%) in the population of all 7563 enrolled children. A score chart, for routine clinical use, was derived from the prognostic model and could improve triage and management of children presenting with fever in dengue-endemic areas.

摘要

背景

早期预测重症登革热可显著有助于患者分流和病例管理。

方法

我们对2010年至2013年间在越南南部6家医院门诊部招募的7563名发热≤3天的儿童进行了前瞻性研究。主要关注终点为重症登革热(2009年世界卫生组织指南),并在入组时收集预先定义的风险变量以建立预后模型。

结果

分析人群包括7544例患者,其中2060例(27.3%)实验室确诊为登革热;其中有117例(1.5%)为重症病例。在多因素逻辑模型中,呕吐史、较低的血小板计数、天冬氨酸转氨酶(AST)水平升高、非结构蛋白1(NS1)快速检测呈阳性以及病毒血症程度均与重症登革热独立相关。最终的预后模型(早期重症登革热识别器[ESDI])包括呕吐史、血小板计数、AST水平和NS1快速检测状态。

结论

在所有7563名入组儿童人群中,ESDI具有可接受的性能特征(曲线下面积=0.95,敏感性87%(95%置信区间[CI],80%-92%),特异性88%(95%CI,87%-89%),阳性预测值10%(95%CI,9%-12%),阴性预测值99%(95%CI,98%-100%)。从预后模型得出了一份供常规临床使用的评分表,可改善登革热流行地区发热儿童的分流和管理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe90/5850639/f897399ce56f/ciw86303.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe90/5850639/2601c0eba58b/ciw86301.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe90/5850639/e3b8c003d7a3/ciw86302.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe90/5850639/f897399ce56f/ciw86303.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe90/5850639/2601c0eba58b/ciw86301.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe90/5850639/e3b8c003d7a3/ciw86302.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe90/5850639/f897399ce56f/ciw86303.jpg

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1
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N Engl J Med. 2016 Mar 24;374(12):1155-66. doi: 10.1056/NEJMoa1503877.
2
Sensitivity and specificity of a novel classifier for the early diagnosis of dengue.一种用于登革热早期诊断的新型分类器的敏感性和特异性。
PLoS Negl Trop Dis. 2015 Apr 2;9(4):e0003638. doi: 10.1371/journal.pntd.0003638. eCollection 2015 Apr.
3
Predictive tools for severe dengue conforming to World Health Organization 2009 criteria.符合世界卫生组织2009年标准的重症登革热预测工具。
Am J Trop Med Hyg. 2025 Feb 11;112(4):898-908. doi: 10.4269/ajtmh.24-0653. Print 2025 Apr 2.
4
Dengue Fever—Diagnosis, Risk Stratification, and Treatment.登革热——诊断、风险分层与治疗
Dtsch Arztebl Int. 2024 Nov 15;121(23):773-778. doi: 10.3238/arztebl.m2024.0175.
5
Comparison of Predictive Models for Severe Dengue: Logistic Regression, Classification Tree, and the Structural Equation Model.重症登革热预测模型的比较:逻辑回归、分类树和结构方程模型
J Infect Dis. 2025 Feb 4;231(1):241-250. doi: 10.1093/infdis/jiae366.
6
Increasing the Awareness of Under-Diagnosed Tropical Cases of Dengue in Romania.提高罗马尼亚未被充分诊断的热带登革热病例的认知度。
Trop Med Infect Dis. 2023 Oct 7;8(10):469. doi: 10.3390/tropicalmed8100469.
7
Bayesian Analysis Used to Identify Clinical and Laboratory Variables Capable of Predicting Progression to Severe Dengue among Infected Pediatric Patients.贝叶斯分析用于识别能够预测感染小儿患者发展为重症登革热的临床和实验室变量。
Children (Basel). 2023 Sep 5;10(9):1508. doi: 10.3390/children10091508.
8
Learning meaningful latent space representations for patient risk stratification: Model development and validation for dengue and other acute febrile illness.学习用于患者风险分层的有意义潜在空间表示:登革热和其他急性发热性疾病的模型开发与验证
Front Digit Health. 2023 Feb 22;5:1057467. doi: 10.3389/fdgth.2023.1057467. eCollection 2023.
9
Co-Circulation of Dengue Virus Serotypes 1, 2, and 3 during the 2022 Dengue Outbreak in Nepal: A Cross-Sectional Study.2022 年尼泊尔登革热疫情期间登革病毒血清型 1、2 和 3 的共同流行:一项横断面研究。
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10
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PLoS Negl Trop Dis. 2023 Feb 27;17(2):e0010750. doi: 10.1371/journal.pntd.0010750. eCollection 2023 Feb.
PLoS Negl Trop Dis. 2014 Jul 10;8(7):e2972. doi: 10.1371/journal.pntd.0002972. eCollection 2014 Jul.
4
Efficacy and safety of celgosivir in patients with dengue fever (CELADEN): a phase 1b, randomised, double-blind, placebo-controlled, proof-of-concept trial.西拉苷在登革热患者中的疗效和安全性(CELADEN):一项 1b 期、随机、双盲、安慰剂对照、概念验证试验。
Lancet Infect Dis. 2014 Aug;14(8):706-715. doi: 10.1016/S1473-3099(14)70730-3. Epub 2014 May 28.
5
Clinical and laboratory predictive markers for acute dengue infection.急性登革热感染的临床和实验室预测指标。
J Biomed Sci. 2013 Oct 20;20(1):75. doi: 10.1186/1423-0127-20-75.
6
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Clin Infect Dis. 2013 Dec;57(11):1577-86. doi: 10.1093/cid/cit594. Epub 2013 Sep 17.
7
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Mediterr J Hematol Infect Dis. 2013;5(1):e2013014. doi: 10.4084/MJHID.2013.014. Epub 2013 Feb 16.
8
Clinical and laboratory features that discriminate dengue from other febrile illnesses: a diagnostic accuracy study in Rio de Janeiro, Brazil.鉴别登革热与其他发热性疾病的临床和实验室特征:巴西里约热内卢的一项诊断准确性研究。
BMC Infect Dis. 2013 Feb 8;13:77. doi: 10.1186/1471-2334-13-77.
9
Effects of short-course oral corticosteroid therapy in early dengue infection in Vietnamese patients: a randomized, placebo-controlled trial.越南患者早期登革热感染中短期口服皮质类固醇治疗的效果:一项随机、安慰剂对照试验。
Clin Infect Dis. 2012 Nov;55(9):1216-24. doi: 10.1093/cid/cis655. Epub 2012 Aug 3.
10
A randomized, double-blind placebo controlled trial of balapiravir, a polymerase inhibitor, in adult dengue patients.一项随机、双盲、安慰剂对照的研究,评估聚合酶抑制剂巴洛沙韦在成年登革热患者中的疗效。
J Infect Dis. 2013 May 1;207(9):1442-50. doi: 10.1093/infdis/jis470. Epub 2012 Jul 17.