Imperial College London
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Dr Benjamin Mullish

Faculty of Medicine, Department of Metabolism, Digestion and Reproduction

IPPRF Research Fellow
 
 
 
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Contact

 

b.mullish

 
 
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Location

 

Queen Elizabeth the Queen Mother Wing (QEQM)St Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Allegretti:2019:10.14309/01.ajg.0000590272.82262.78,
author = {Allegretti, JR and Mullish, B and Nativ, L and Marcus, J and Marchesi, J and McDonald, JAK and Pechlivanis, A and Kennedy, K and Gerber, G and Bry, L},
doi = {10.14309/01.ajg.0000590272.82262.78},
journal = {American Journal of Gastroenterology},
pages = {S113--S113},
title = {185 Evaluating Dynamics of Bile Acid Metabolism to Predict Recurrence of Clostridioides difficile Infection},
url = {http://dx.doi.org/10.14309/01.ajg.0000590272.82262.78},
volume = {114},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - <jats:sec>            <jats:title>INTRODUCTION:</jats:title>            <jats:p>Recurrent <jats:italic toggle="yes">Clostridioides difficile</jats:italic> infection (CDI) is a major public health problem. The ability of commensal gut microbiota to metabolize primary into secondary bile acids plays a role in protection against this infection. Current clinical prediction tools for CDI recurrence do not incorporate biomarkers predictive of protective microbiota functionalities. We investigated metabolomic predictors of <jats:italic toggle="yes">C. difficile</jats:italic> recurrence.</jats:p>          </jats:sec>          <jats:sec>            <jats:title>METHODS:</jats:title>            <jats:p>We conducted a prospective longitudinal study of patients experiencing a first CDI episode. Patients testing positive with either enzyme immunoassay (EIA) toxin or polymerase chain reaction (PCR), and being treated for CDI, were eligible for inclusion. Serial stool samples were collected at diagnosis through week-8 post-completion of anti-CDI therapy if no recurrence, or until the point of recurrence (defined as diarrhea with positive <jats:italic toggle="yes">C</jats:italic>. <jats:italic toggle="yes">difficile</jats:italic> EIA toxin stool test). Liquid chromatography-mass spectrometry was performed to profile fecal bile acids. The week 1 post-antibiotic time point was chosen to assess for potential predictors. We derived a univariate logistic regression model predicting recurrence and computed the AUC (c-statistic) on discriminatory ability. The Youden index was calculated as the value that maximizes sensitivity and specificity.</jats:p>          </jats:sec>          <jats:sec>            <jats:title>RESULTS:</jats:title>            <jats:p>29 first episode CDI patients were enrolled. 10 patient
AU  - Allegretti,JR
AU  - Mullish,B
AU  - Nativ,L
AU  - Marcus,J
AU  - Marchesi,J
AU  - McDonald,JAK
AU  - Pechlivanis,A
AU  - Kennedy,K
AU  - Gerber,G
AU  - Bry,L
DO  - 10.14309/01.ajg.0000590272.82262.78
EP  - 113
PY  - 2019///
SN  - 0002-9270
SP  - 113
TI  - 185 Evaluating Dynamics of Bile Acid Metabolism to Predict Recurrence of Clostridioides difficile Infection
T2  - American Journal of Gastroenterology
UR  - http://dx.doi.org/10.14309/01.ajg.0000590272.82262.78
UR  - http://hdl.handle.net/10044/1/73851
VL  - 114
ER  -
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