Predicting major clinical events among Canadian adults with laboratory-confirmed influenza infection using the influenza severity scale.

ABSTRACT: We developed and validated the Influenza Severity Scale (ISS), a standardized risk assessment for influenza, to estimate and predict the probability of major clinical events in patients with laboratory-confirmed infection. Data from the Canadian Immunization Research Network's Serious Outcomes Surveillance Network (2011/2012-2018/2019 influenza seasons) enabled the selecting of all laboratory-confirmed influenza patients. A machine learning-based approach then identified variables, generated weighted scores, and evaluated model performance. This study included 12,954 patients with laboratory-confirmed influenza infections. The optimal scale encompassed ten variables: demographic (age and sex), health history (smoking status, chronic pulmonary disease, diabetes mellitus, and influenza vacci

SUBMITTER: Pott H 

PROVIDER: S-EPMC11306731 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature