Unsupervised Clustering Analysis Based on MODS Severity Identifies Four Distinct Organ Dysfunction Patterns in Severely Injured Blunt Trauma Patients

Unsupervised Clustering Analysis Based on MODS Severity Identifies Four Distinct Organ Dysfunction Patterns in Severely Injured Blunt Trauma Patients

Purpose: We sought to identify a MODS score parameter that highly correlates with adverse outcomes and then use this parameter to test the hypothesis that multiple severity-based MODS clusters could be identified after blunt trauma.Methods: MOD score across days (D) 2–5 was subjected to Fuzzy C-mean...

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Bibliographic Details
Main Authors: Dongmei Liu, Rami A. Namas, Yoram Vodovotz, Andrew B. Peitzman, Richard L. Simmons, Hong Yuan, Qi Mi, Timothy R. Billiar
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-02-01
Series:Frontiers in Medicine
Subjects:
multiple organ dysfunction
intensive care unit
blunt trauma
biomarkers
fuzzy C-means clustering
dynamic network analysis
Online Access:https://www.frontiersin.org/article/10.3389/fmed.2020.00046/full

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https://www.frontiersin.org/article/10.3389/fmed.2020.00046/full

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