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Dataset Information

Derivation, Validation, and Potential Treatment Implications of Novel Clinical Phenotypes for Sepsis.


ABSTRACT:

Importance

Sepsis is a heterogeneous syndrome. Identification of distinct clinical phenotypes may allow more precise therapy and improve care.

Objective

To derive sepsis phenotypes from clinical data, determine their reproducibility and correlation with host-response biomarkers and clinical outcomes, and assess the potential causal relationship with results from randomized clinical trials (RCTs).

Design, settings, and participants

Retrospective analysis of data sets using statistical, machine learning, and simulation tools. Phenotypes were derived among 20 189 total patients (16 552 unique patients) who met Sepsis-3 criteria within 6 hours of hospital presentation at 12 Pennsylvania hospitals (2010-2012) using consensus k means clustering applied to 29 variables. Repr

SUBMITTER: Seymour CW 

PROVIDER: S-EPMC6537818 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature