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 …
| Author: | Patrick E Obermeier, Albert Heim, Barbara Biere, Elias Hage, Maren Alchikh, Tim ConradORCiD, Brunhilde Schweiger, Barbara A Rath |
|---|---|
| Document Type: | Article |
| Parent Title (English): | iScience |
| Volume: | 25 |
| Issue: | 5 |
| Publisher: | Cell Press |
| Year of first publication: | 2022 |
| DOI: | https://doi.org/10.1016/j.isci.2022.104276 |
