TOPLINE: A supervised machine learning model developed using routinely available data from electronic health records achieved 80.05% accuracy and showed strong overall performance in predicting which patients with inflammatory bowel disease (IBD) were at a …

… use carries risks including dysbiosis, C. difficile infection, and the emergence of … FH, Bennett AE, Fazio VW. Clostridium difficile-associated pouchitis. Dig Dis Sci …

… intestinal inflammation often linked to clostridium difficile. Today, scientists have a clearer …

… M, Schröttner P, et al. Clostridium Difficile infections in patients with AML …

… traced to surgical sites and Clostridium difficile by 30%, and catheter-associated …

… incidence of C. difficile infection (CDI), and C. difficile may be … on C. difficile Detection Positive rate of C. difficile was … Four patients underwent C. difficile testing using culture and … M, et al. Clostridium difficile isolated from faecal samples …

… hospital-onset Clostridioides difficile, or C. difficile, infection; a 10% decrease in … 18% decrease in hospital-onset C. difficile infections and an 8% decrease … 15% decrease in hospital-onset C. difficile. The report recommended providers continue …

… and a 15% drop in C difficile infections. Inpatient rehabilitation facilities saw … an 18% drop in C difficile cases and an 8% decline …

… the host defense mechanism against clostridium difficile intoxication. J Infect Dis. 2018 …

… -ready for oral treatment of C. difficile Infection, and has validated the … , ibezapolstat, for the treatment of C. difficile Infection is Phase 3 ready …