K-medoids clustering of hospital admission characteristics to classify severity of influenza virus infection.

ABSTRACT:

Background

Patients are admitted to the hospital for respiratory illness at different stages of their disease course. It is important to appropriately analyse this heterogeneity in surveillance data to accurately measure disease severity among those hospitalized. The purpose of this study was to determine if unique baseline clusters of influenza patients exist and to examine the association between cluster membership and in-hospital outcomes.

Methods

Patients hospitalized with influenza at two hospitals in Southeast Michigan during the 2017/2018 (n = 242) and 2018/2019 (n = 115) influenza seasons were included. Physiologic and laboratory variables were collected for the first 24 h of the hospital stay. K-medoids clustering was used to determine groups of individuals based on

SUBMITTER: Leis AM 

PROVIDER: S-EPMC9992770 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature