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

20191,421 citationsJournal Articlebronze Open Access

Authors

Christopher Seymour · University of Pittsburgh

Jason Kennedy · University of Pittsburgh

Shu Wang · University of Pittsburgh

Chung‐Chou H. Chang · University of Pittsburgh

Corrine F. Elliott · Berry & Associates (United States)

Zhongying Xu · University of Pittsburgh

Scott Berry ·

Abstract

In this retrospective analysis of data sets from patients with sepsis, 4 clinical phenotypes were identified that correlated with host-response patterns and clinical outcomes, and simulations suggested these phenotypes may help in understanding heterogeneity of treatment effects. Further research is needed to determine the utility of these phenotypes in clinical care and for informing trial design and interpretation.

Topics & Keywords

Sepsis Diagnosis and Treatment Machine Learning in Healthcare Bacterial Identification and Susceptibility Testing

UN Sustainable Development Goals

Good health and well-being

Publication Details

Published in: JAMA

Volume 321, Issue 20, pp. 2003-2003

DOI: 10.1001/jama.2019.5791

Field-Weighted Citation Impact: 100.71