C. diff Model Predicts Patients at Risk for Recurrence

Researchers have developed a model that accurately predicts which patients are at risk for recurrence of a Clostridium difficile infection, according to research in Clinical Infectious Diseases.

Researchers compared data from two pharmaceutical trials in which fidaxomicin, an antibiotic was compared with vancomycin for C. diff treatment.

They subsequently identified four classes of risk factor for the predictive model, including age, number of unformed bowel movements during the previous 24 hours, baseline serum creatinine levels, prior episodes of C. diff and treatment method.

Researchers suggest the model may be useful for clinicians in deciding upon the most effective treatment to prevent recurrence of C. diff infections, something between 20 and 30 percent of those with C. diff experience.

More Articles on Quality:

How a No-Nonsense Hospital CEO Reached the Target of Zero Infections

7 Stories, Studies on Antbiotics

Socioeconomic Status Correlates With Cancer Mortality Rates

Copyright © 2024 Becker's Healthcare. All Rights Reserved. Privacy Policy. Cookie Policy. Linking and Reprinting Policy.

 

Featured Whitepapers

Featured Webinars

>