A comparative analysis of dengue, chikungunya, and Zika in a pediatric cohort over 18 years.

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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Abstract

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 (symptomatic infections) aged 2-<18 years enrolled in a longitudinal cohort study in Managua, Nicaragua, and attending a primary health care center from January 19, 2006, through December 31, 2023. We collected clinical records and laboratory results across the first 10 days of illness. Data were analyzed with generalized additive models, day-and-disease-specific prevalence estimates, and machine learning models.

Findings: We characterized 1,405 dengue, 517 chikungunya, and 522 Zika pediatric cases. We included 1,165 (47·7%) males and 1,279 (52·3%) females, with a median age of 10·0 (IQR 7·0-12·7) years. 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 (Prevalence difference (PD) 19·1%, 95% confidence interval (CI): 15·7%, 22·9%), leukopenia (PD 41·1%, 95% CI: 36·2%, 45·6%), nausea (PD 15·5%, 95% CI: 12·2%, 19·2%), vomiting (PD 21·9%, 95% CI: 17·9%, 26·1%), and basophilia (PD 42·3%, 95% CI: 37·4%, 47·0%); chikungunya cases were differentiated most by arthralgia (PD 60·5%, 95% CI: 56·3%, 64·2%) and the absence of leukopenia (PD -32·0%, 95% CI: -36·7%, -27·1%) and papular rash (PD -14·9%, 95% CI: -17·2%, -12·7%); and Zika cases were differentiated most by rash (PD 31·8%, 95% CI: 27·0%, 36·2%) and the lack of fever (PD -37·3%, 95% CI: -41·7%, -33·0%) and lymphocytopenia (PD -41·9%, 95% CI: -46·6%, -37·1%). 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 guidance.

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

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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
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。
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