Author: Tristan de Jong; Victor Guryev; Yury M. Moshkin
Title: Discovery of pharmaceutically-targetable pathways and prediction of survivorship for pneumonia and sepsis patients from the view point of ensemble gene noise Document date: 2020_4_11
ID: f5w05rc2_15
Snippet: Treatment of sepsis is challenging and mortality rates among sepsis patients are high. Yet, prediction of clinical outcome is also challenging due to heterogeneity in the pathology [8] and gene expression ( Figure 1A) . Recently, Molecular Diagnosis and Risk Stratification of Sepsis (MARS) consortium identified the Mars1 gene expression endotype which was significantly associated with acute (28-day) mortality, however, for other endotypes Mars2-4.....
Document: Treatment of sepsis is challenging and mortality rates among sepsis patients are high. Yet, prediction of clinical outcome is also challenging due to heterogeneity in the pathology [8] and gene expression ( Figure 1A) . Recently, Molecular Diagnosis and Risk Stratification of Sepsis (MARS) consortium identified the Mars1 gene expression endotype which was significantly associated with acute (28-day) mortality, however, for other endotypes Mars2-4 poorly discriminated between the survival and mortality of patients [8] . Thus, we wondered whether the clinical outcome (mortality) could be predicted from the ensemble gene noise.
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