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Linking digital surveillance and in-depth virology to study clinical patterns of viral respiratory infections in vulnerable patient populations

  • To 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 …

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Metadaten
Verfasserangaben:Patrick E Obermeier, Albert Heim, Barbara Biere, Elias Hage, Maren Alchikh, Tim ConradORCiD, Brunhilde Schweiger, Barbara A Rath
Dokumentart:Artikel
Titel des übergeordneten Werkes (Englisch):iScience
Band:25
Ausgabe / Heft:5
Verlag:Cell Press
Jahr der Erstveröffentlichung:2022
DOI:https://doi.org/10.1016/j.isci.2022.104276
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