18年以上儿童队列中登革热、基孔肯雅热和寨卡表现的比较分析

Fausto Andres Bustos Carrillo, Sergio Ojeda, Nery Sanchez, Miguel Plazaola, Damaris Collado, Tatiana Miranda, Saira Saborio, Brenda Lopez Mercado, Jairo Carey Monterrey, Sonia Arguello, Lora Campredon, Zijin Chu, Colin J Carlson, Aubree Gordon, Angel Balmaseda, Guillermina Kuan, Eva Harris
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For example, only one of 80 studies summarized in PAHO's recent report directly compared clinical features across cases experiencing dengue, chikungunya, and Zika, and that study mainly focused on adults. Disease presentation is more non-specific in children and adolescents than in adults, further impeding differential diagnoses in pediatric populations. Current guidelines suggest that the presence of thrombocytopenia, progressive increases in hematocrit, and leukopenia tend to distinguish dengue from chikungunya and Zika; that arthralgia is more common in chikungunya; and that pruritis is more common in Zika. All dengue case definitions in widespread use require that patients exhibit fever.<b>Added value of this study:</b> This study follows a cohort of Nicaraguan children through multiple dengue epidemics, two large chikungunya epidemics, and one explosive Zika epidemic. 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引用次数: 0

摘要

由于泛美卫生组织的报告是基于大量不同年龄范围、卫生保健可及性、总体研究质量和患者群体的研究,因此本研究是一个补充和重要的对应研究,它来自一个单一的、特征良好的源人群。此外,我们确定了62例实验室确诊的发热性登革热病例(自我们开始检测任何出现发热性皮疹的疑似病例以来,占所有登革热病例的7.2%)。发热性登革热病例的疾病表现在临床上通常与发热性寨卡病毒难以区分,尽管有几例显示出严重的警告迹象。我们发现,三种疾病的病例在疾病急性期表现出不同的温度动态。仅根据临床特征,机器学习模型最能区分基孔肯雅热(一种甲病毒病)与登革热和寨卡(黄病毒病)。我们的登革热模型表现良好,特别是在分类发热登革热病例。然而,我们的寨卡模型很难正确区分发热性登革热病例和发热性寨卡病例,这可能是由于它们非常相似且疾病表现很少。所有现有证据的意义:尽管登革热、基孔肯雅热和寨卡的儿科临床表现有重叠,但我们确定了它们的表现和实验室标记物的有意义差异,这些差异可以在缺乏明确的实验室诊断测试的情况下用于改善诊断。应更多地研究发热性登革热,并将其纳入未来的病例定义,因为不考虑其存在可能会妨碍监测、实验室检测策略、临床管理和研究工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A comparative analysis of dengue, chikungunya, and Zika manifestations in a pediatric cohort over 18 years.

Background: Dengue, chikungunya, and Zika are diseases of major human concern. Differential diagnosis is complicated in children and adolescents by their overlapping clinical features (signs, symptoms, and complete blood count results). Few studies have directly compared the three diseases. We aimed to identify distinguishing pediatric characteristics of each disease.

Methods: Data were derived from laboratory-confirmed cases aged 2-17 years enrolled in a longitudinal cohort study in Managua, Nicaragua, and attending a primary health care center from January 2006 through December 2023. We collected clinical records and laboratory results across the first 10 days of illness. Data were analyzed with generalized additive models, generalized linear mixed models, and machine learning models.

Findings: We characterized 1,405 dengue, 517 chikungunya, and 522 Zika pediatric cases. The prevalence of many clinical features exhibited by dengue, chikungunya, and Zika cases differed substantially overall, by age, and by day of illness. Dengue cases were differentiated most by abdominal pain, leukopenia, nausea, vomiting, and basophilia; chikungunya cases were differentiated most by arthralgia and the absence of leukopenia and papular rash; and Zika cases were differentiated most by rash and the lack of fever and lymphocytopenia. Dengue and chikungunya cases exhibited similar temperature dynamics during acute illness, and their temperatures were higher than Zika cases. Sixty-two laboratory-confirmed afebrile dengue cases, which would not be captured by any widely used international case definition, presented very similarly to afebrile Zika cases, though some exhibited warning signs of disease severity. The presence of arthralgia, the presence of basophilia, and the absence of fever were the most important model-based distinguishing predictors of chikungunya, dengue, and Zika, respectively.

Interpretations: These findings substantially update our understanding of dengue, chikungunya, and Zika in children while identifying various clinical features that could improve differential diagnoses. The occurrence of afebrile dengue warrants reconsideration of current case definitions.

Funding: US National Institutes of Health R01AI099631, P01AI106695, U01AI153416, U19AI118610.

Research in context: Evidence before this study: Dengue, chikungunya, and Zika co-occur in tropical and subtropical settings and cause fever, rash, and other clinical features. We reviewed widely used international case definitions for the three diseases; the Pan American Health Organization's (PAHO) 2022 report on differential diagnosis of the diseases; and the 80 studies underlying PAHO's diagnostic recommendations. On March 15, 2025, we queried PubMed without restrictions for "pediatric cohort" AND "dengue" AND "chikungunya" AND "Zika," revealing that no other pediatric cohort simultaneously reported clinical differences between the three diseases. The literature suggests that dengue, chikungunya, and Zika have a broad and overlapping set of clinical manifestations that hamper differential diagnosis and case management absent definitive laboratory testing. Mild forms of the diseases during acute illness typically produce the greatest overlap in presentation. Most studies on the diseases' clinical manifestations are in adults, and these studies constitute the main evidence base for existing case definitions. For example, only one of 80 studies summarized in PAHO's recent report directly compared clinical features across cases experiencing dengue, chikungunya, and Zika, and that study mainly focused on adults. Disease presentation is more non-specific in children and adolescents than in adults, further impeding differential diagnoses in pediatric populations. Current guidelines suggest that the presence of thrombocytopenia, progressive increases in hematocrit, and leukopenia tend to distinguish dengue from chikungunya and Zika; that arthralgia is more common in chikungunya; and that pruritis is more common in Zika. All dengue case definitions in widespread use require that patients exhibit fever.Added value of this study: This study follows a cohort of Nicaraguan children through multiple dengue epidemics, two large chikungunya epidemics, and one explosive Zika epidemic. By synthesizing 18 years' worth of primary care medical records, we find clinically meaningful differences in the prevalence of many clinical features, including by day of illness and across age, but not by sex. In addition to verifying the clinical features PAHO identified as key distinguishing features, we also identified others, including papular rash, nausea, hemorrhagic manifestations, abdominal pain, and basophilia, that could aid differential diagnoses. As the PAHO report is based on a multitude of studies with varied age ranges, health care accessibility, overall research quality, and patient populations, this study is a complementary and important counterpart that draws from a single, well-characterized source population. Further, we identified 62 laboratory-confirmed cases of afebrile dengue (7·1% of all dengue cases since we started testing any suspected case exhibiting afebrile rash). The disease manifestations of afebrile dengue cases were generally clinically indistinguishable from afebrile Zika, although several displayed warning signs of severity. We found that cases of the three diseases exhibited different temperature dynamics across the acute period of illness. Machine learning models best distinguished chikungunya (an alphaviral disease) from dengue and Zika (flaviviral diseases) based on clinical features. Our dengue model performed well, especially in classifying febrile dengue cases. However, our Zika model struggled to properly distinguish afebrile dengue cases from afebrile Zika cases, likely due to their very similar and minimal disease presentation.Implications of all the available evidence: Despite clinical overlap in the pediatric manifestations of dengue, chikungunya, and Zika, we identify meaningful differences in their presentation and in laboratory markers that can be leveraged to improve diagnoses in the absence of definitive laboratory-based diagnostic testing. Afebrile dengue should be studied more and incorporated into future case definitions, as not accounting for its existence can impede surveillance, laboratory testing strategies, clinical management, and research efforts.

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