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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Auteurs principaux: 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
Langue:EN
Publié: American Society for Microbiology 2020
Sujets:
biomarkers
Clostridioides difficile
Clostridium difficile
machine learning
predictive modeling
cytokines
Microbiology
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Accès en ligne:https://doaj.org/article/e87d93974f09471d90f6fe68dc80f3e2
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