Predicting Cdiff

In this large retrospective cohort, researchers determined a risk prediction score for Cdiff that had good predictive discrimination (C index 0.88); many of the risk factors are already well known, and include: age, Cdiff “density”, previous 60 day admits, modified Acute Physiology Score, high-risk antibiotic days, low albumin, ICU admission, and receipt of laxatives, gastric acid suppressors, or antimotility drugs. If further validated, this risk score may be used clinically to predict risk, and determine which patients need additional preventive strategies layered on (abstract)

Danielle Scheurer

Dr. Scheurer is a clinical hospitalist and the Medical Director of Quality and Safety at the Medical University of South Carolina in Charleston, South Carolina, and is Assistant Professor of Medicine. She is a graduate of the University of Tennessee College of Medicine, completed her residency at Duke University, and completed her Masters in Clinical Research at the Medical University of South Carolina. She also serves as the Web Editor and Physician Advisor for the Society of Hospital Medicine.

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