Gut Microbiota Alterations can predict Hospitalizations in @entity82 Independent of XXXX .

@entity1 @entity82 @entity6 @entity3918 @entity99 @entity1049
@entity6 ( @entity3918 ) is prevalent in @entity82 and may modulate the risk of hospitalization through gut dysbiosis. We aimed to define the role of gut microbiota on 90-day hospitalizations and of concomitant @entity3918 on microbiota. Cirrhotic outpatients with/without @entity3918 underwent stool and sigmoid mucosal microbial analysis and were followed for 90 days. Microbial composition was compared between those with/without @entity3918 , and those who were hospitalized/not. Regression/ROC analyses for hospitalizations were performed using clinical and microbial features. 278 cirrhotics [39% @entity99 ( @entity99 ), 31% @entity3918 ] underwent stool while 72 underwent mucosal analyses. Ultimately, 94 were hospitalized and they had higher MELD, proton pump inhibitor (PPI) use and @entity99 without difference in @entity3918 . Stool/mucosal microbiota were significantly altered in those who were hospitalized (UNIFRAC p<   =   1.0e-02). Specifically, lower stool Bacteroidaceae, Clostridiales XIV, Lachnospiraceae, Ruminococcacae and higher Enterococcaceae and Enterobacteriaceae were seen in hospitalized @entity1 . Concomitant @entity3918 impacted microbiota UNIFRAC (stool, p   =   0.003, mucosa,p   =   0.04) with higher stool Bacteroidaceae and lower Ruminococcaeae. Stool Bacteroidaceaeae and Clostridiales XIV predicted 90-day hospitalizations independent of clinical predictors (MELD, @entity99 , PPI). Stool and @entity1049 are altered in cirrhotics who get hospitalized with independent prediction using stool Bacteroidaceae and Clostridiales XIV. Concomitant @entity3918 distinctly impacts gut microbiota without affecting hospitalizations.
