Development and validation of an efficient nomogram for risk assessment of norovirus infection in pediatric patients.

ABSTRACT: This study aimed to establish a predictive model and nomogram based on routine laboratory blood indicators and clinical symptoms, subsequently providing a rapid risk assessment of norovirus (NoV) infection in children. This retrospective study enrolled 307 pediatric patients with symptoms of acute gastroenteritis and detected NoV using real-time quantitative polymerase chain reaction. Significant indicators selected by multivariate logistic regression, including routine blood tests and consultation symptoms, were used to develop the nomogram. We divided the sample into training and internal validation sets and performed external validation of the final model. Furthermore, we evaluated the clinical performance using the Akaike information criterion (AIC), area under the curve (AUC), calibra

SUBMITTER: He T 

PROVIDER: S-EPMC9592877 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature