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Probiotics for the prevention of Clostridium difficile-associated diarrhea in adults and children

Authors :
Goldenberg, JZ
Yap, C
Lytvyn, L
Lo, CKF
Beardsley, J
Mertz, D
Johnston, BC
Goldenberg, JZ
Yap, C
Lytvyn, L
Lo, CKF
Beardsley, J
Mertz, D
Johnston, BC
Publication Year :
2017

Abstract

© 2017 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd. Background: Antibiotics can disturb gastrointestinal microbiota which may lead to reduced resistance to pathogens such as Clostridium difficile (C. difficile). Probiotics are live microbial preparations that, when administered in adequate amounts, may confer a health benefit to the host, and are a potential C. difficile prevention strategy. Recent clinical practice guidelines do not recommend probiotic prophylaxis, even though probiotics have the highest quality evidence among cited prophylactic therapies. Objectives: To assess the efficacy and safety of probiotics for preventing C.difficile-associated diarrhea (CDAD) in adults and children. Search methods: We searched PubMed, EMBASE, CENTRAL, and the Cochrane IBD Group Specialized Register from inception to 21 March 2017. Additionally, we conducted an extensive grey literature search. Selection criteria: Randomized controlled (placebo, alternative prophylaxis, or no treatment control) trials investigating probiotics (any strain, any dose) for prevention of CDAD, or C. difficile infection were considered for inclusion. Data collection and analysis: Two authors (independently and in duplicate) extracted data and assessed risk of bias. The primary outcome was the incidence of CDAD. Secondary outcomes included detection of C. difficile infection in stool, adverse events, antibiotic-associated diarrhea (AAD) and length of hospital stay. Dichotomous outcomes (e.g. incidence of CDAD) were pooled using a random-effects model to calculate the risk ratio (RR) and corresponding 95% confidence interval (95% CI). We calculated the number needed to treat for an additional beneficial outcome (NNTB) where appropriate. Continuous outcomes (e.g. length of hospital stay) were pooled using a random-effects model to calculate the mean difference and corresponding 95% CI. Sensitivity analyses were conducted to explore the impact of missing data on efficacy and safet

Details

Database :
OAIster
Publication Type :
Electronic Resource
Accession number :
edsoai.on1197431819
Document Type :
Electronic Resource