Individual illness dynamics: An analysis of children with sepsis admitted to the pediatric intensive care unit.

ABSTRACT: Illness dynamics and patterns of recovery may be essential features in understanding the critical illness course. We propose a method to characterize individual illness dynamics in patients who experienced sepsis in the pediatric intensive care unit. We defined illness states based on illness severity scores generated from a multi-variable prediction model. For each patient, we calculated transition probabilities to characterize movement among illness states. We calculated the Shannon entropy of the transition probabilities. Using the entropy parameter, we determined phenotypes of illness dynamics based on hierarchical clustering. We also examined the association between individual entropy scores and a composite variable of negative outcomes. Entropy-based clustering identified four illnes

SUBMITTER: Kausch SL 

PROVIDER: S-EPMC9931234 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature