Neurologic Complications of Rotavirus Infections in Children.

BACKGROUND: Rotavirus is the leading cause of complicated gastroenteritis in children younger than 5 years in countries where rotavirus vaccination is not implemented as a routine vaccination. Besides the intestinal symptoms that are associated with ordinary gastroenteritis, rotavirus can cause neurological complications. The aim of this study is to describe the clinical characteristics of complicated rotavirus infections. METHODS: From January 1, 2016 to January 31, 2022, all children (below the age of 18 years) with a positive rotavirus test in feces that were either hospitalized or presented at the outpatient clinic or emergency department of a large pediatric hospital in the Netherlands were included. Rotavirus was only tested in case of a severe or abnormal disease course. We described the clinical characteristics and outcomes with a particular focus on neurological manifestations. RESULTS: In total, 59 patients with rotavirus were included of whom 50 (84.7%) were hospitalized and 18 (30.5%) needed intravenous rehydration. Ten patients (16.9%) had neurologic complications, of whom 6 patients (60.0%) presented encephalopathy. Two patients (20.0%) with neurological symptoms showed abnormalities on diagnostic imaging. CONCLUSIONS: Rotavirus can cause gastroenteritis with severe, but apparently self-limiting, neurological manifestations. Considering rotavirus in pediatric patients with neurological symptoms such as encephalopathy and encephalitis is therefore important. Early detection of rotavirus infection may predict a favorable course of the disease and may thereby prevent unnecessary treatment and should be further investigated.

Performance of Five Metagenomic Classifiers for Virus Pathogen Detection Using Respiratory Samples from a Clinical Cohort.

Viral metagenomics is increasingly applied in clinical diagnostic settings for detection of pathogenic viruses. While several benchmarking studies have been published on the use of metagenomic classifiers for abundance and diversity profiling of bacterial populations, studies on the comparative performance of the classifiers for virus pathogen detection are scarce. In this study, metagenomic data sets (n = 88) from a clinical cohort of patients with respiratory complaints were used for comparison of the performance of five taxonomic classifiers: Centrifuge, Clark, Kaiju, Kraken2, and Genome Detective. A total of 1144 positive and negative PCR results for a total of 13 respiratory viruses were used as gold standard. Sensitivity and specificity of these classifiers ranged from 83 to 100% and 90 to 99%, respectively, and was dependent on the classification level and data pre-processing. Exclusion of human reads generally resulted in increased specificity. Normalization of read counts for genome length resulted in a minor effect on overall performance, however it negatively affected the detection of targets with read counts around detection level. Correlation of sequence read counts with PCR Ct-values varied per classifier, data pre-processing (R2 range 15.1-63.4%), and per virus, with outliers up to 3 log10 reads magnitude beyond the predicted read count for viruses with high sequence diversity. In this benchmarking study, sensitivity and specificity were within the ranges of use for diagnostic practice when the cut-off for defining a positive result was considered per classifier.