Systemic Inflammatory Mediators Are Effective Biomarkers for Predicting Adverse Outcomes in <named-content content-type="genus-species">Clostridioides difficile</named-content> Infection

Systemic Inflammatory Mediators Are Effective Biomarkers for Predicting Adverse Outcomes in <named-content content-type="genus-species">Clostridioides difficile</named-content> Infection

ABSTRACT Clostridioides difficile infection (CDI) can result in severe disease and death, with no accurate models that allow for early prediction of adverse outcomes. To address this need, we sought to develop serum-based biomarker models to predict CDI outcomes. We prospectively collected sera ≤48...

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Bibliographic Details
Main Authors: Michael G. Dieterle, Rosemary Putler, D. Alexander Perry, Anitha Menon, Lisa Abernathy-Close, Naomi S. Perlman, Aline Penkevich, Alex Standke, Micah Keidan, Kimberly C. Vendrov, Ingrid L. Bergin, Vincent B. Young, Krishna Rao
Format: article
Language:EN
Published: American Society for Microbiology 2020
Subjects:
biomarkers
Clostridioides difficile
Clostridium difficile
machine learning
predictive modeling
cytokines
Microbiology
QR1-502
Online Access:https://doaj.org/article/e87d93974f09471d90f6fe68dc80f3e2
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https://doaj.org/article/e87d93974f09471d90f6fe68dc80f3e2

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