Author Interviews, C. difficile, Gastrointestinal Disease, Mayo Clinic, Microbiome, Transplantation / 22.10.2015
Microbiome Signature Can Predict Risk of C. difficile Treatment Failure
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Dr. Sahil Khanna[/caption]
MedicalResearch.com Interview with:
Dr. Sahil Khanna MBBS
Assistant Professor of Medicine
Mayo Clinic
Medical Research: What is the background for this study? What are the main findings?
Response: C. difficile infection patients are at a high risk of complications such as treatment failure. Gut microbiota signatures associated with CDI have been described but it is unclear if differences in gut microbiota play a role in response to therapy. No studies have identified predictors of treatment failure and we aimed to identified gut microbiota signatures to predict response to treatment for primary C. difficile . While there were no clinical predictors of treatment response, there were increases in certain genera in patients with successful treatment response in the fecal samples at initial diagnosis compared to non-responders. A risk index built from this panel of microbes highly differentiated between patients based on response and ROC curve analysis showed that this risk index was a strong predictor of treatment response, with a high area under the curve of 0.83..
Dr. Sahil Khanna[/caption]
MedicalResearch.com Interview with:
Dr. Sahil Khanna MBBS
Assistant Professor of Medicine
Mayo Clinic
Medical Research: What is the background for this study? What are the main findings?
Response: C. difficile infection patients are at a high risk of complications such as treatment failure. Gut microbiota signatures associated with CDI have been described but it is unclear if differences in gut microbiota play a role in response to therapy. No studies have identified predictors of treatment failure and we aimed to identified gut microbiota signatures to predict response to treatment for primary C. difficile . While there were no clinical predictors of treatment response, there were increases in certain genera in patients with successful treatment response in the fecal samples at initial diagnosis compared to non-responders. A risk index built from this panel of microbes highly differentiated between patients based on response and ROC curve analysis showed that this risk index was a strong predictor of treatment response, with a high area under the curve of 0.83..
























