文章基本信息

标题：Linking digital surveillance and in-depth virology to study clinical patterns of viral respiratory infections in vulnerable patient populations
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作者：Patrick E. Obermeier ; Albert Heim ; Barbara Biere 等
期刊名称：iScience
印刷版ISSN：2589-0042
出版年度：2022
卷号：25
期号：5
页码：1-21
DOI：10.1016/j.isci.2022.104276
语种：English
出版社：Elsevier
摘要：SummaryTo improve the identification and management of viral respiratory infections, we established a clinical and virologic surveillance program for pediatric patients fulfilling pre-defined case criteria of influenza-like illness and viral respiratory infections. The program resulted in a cohort comprising 6,073 patients (56% male, median age 1.6 years, range 0–18.8 years), where every patient was assessed with a validated disease severity score at the point-of-care using the ViVI ScoreApp. We used machine learning and agnostic feature selection to identify characteristic clinical patterns. We tested all patients for human adenoviruses, 571 (9%) were positive. Adenovirus infections were particularly common and mild in children ≥1 month of age but rare and potentially severe in neonates: with lower airway involvement, disseminated disease, and a 50% mortality rate (n = 2/4). In one fatal case, we discovered a novel virus: HAdV-80. Standardized surveillance leveraging digital technology helps to identify characteristic clinical patterns, risk factors, and emerging pathogens.Graphical abstractDisplay OmittedHighlights•We used mobile health technology to enable clinical pattern recognition•The ViVI ScoreApp provided precision data for cross-cohort meta-analysis•Neonates with adenovirus infection are at risk of severe or fatal disease outcomes•In one neonate with disseminated disease, we found a new adenovirus: HAdV-D80Health sciences; Medical surveillance; Virology