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Dataset Information

Clinical and biological clusters of sepsis patients using hierarchical clustering.


ABSTRACT:

Background

Heterogeneity in sepsis expression is multidimensional, including highly disparate data such as the underlying disorders, infection source, causative micro-organismsand organ failures. The aim of the study is to identify clusters of patients based on clinical and biological characteristic available at patients' admission.

Methods

All patients included in a national prospective multicenter ICU cohort OUTCOMEREA and admitted for sepsis or septic shock (Sepsis 3.0 definition) were retrospectively analyzed. A hierarchical clustering was performed in a training set of patients to build clusters based on a comprehensive set of clinical and biological characteristics available at ICU admission. Clusters were described, and the 28-day, 90-day, and one-year mortality were

SUBMITTER: Papin G 

PROVIDER: S-EPMC8336799 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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