Intestinal microbiome disruption in patients in a long-term acute care hospital: a case for development of microbiome disruption indices to improve infection prevention
Supporting Files
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7 01 2016 ; 7-01-
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Available in CDC Stacks on 2019-05-28T00:00:00Z
File Language:
English
Details
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Alternative Title:Am J Infect Control
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Personal Author:Halpin, AL ; de Man, TJ ; Kraft, CS ; Perry, KA ; Chan, AW ; Lieu, S ; Mikell, J ; Limbago, BM ; McDonald, LC
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Description:Background ; Composition and diversity of intestinal microbial communities (microbiota) are generally accepted as a risk factor for poor outcomes; however, we cannot yet use this information to prevent adverse outcomes. ; Methods ; Stool was collected from eight long-term acute care hospital (LTACH) patients experiencing diarrhea and two fecal microbiota transplant donors; 16S rDNA V1-V2 hypervariable regions were sequenced. Composition and diversity of each sample were described. Stool was also tested for Clostridium difficile, vancomycin-resistant enterococci (VRE), and carbapenem-resistant Enterobacteriaceae. Associations between microbiota diversity and demographic and clinical characteristics, including antibiotic use, were analyzed. ; Results ; Antibiotic exposure and Charlson Comorbidity Index were inversely correlated with diversity (Spearman = −0.7). Two patients were positive for VRE; both had microbiomes dominated by Enterococcus faecium, accounting for 67–84% of their microbiome. ; Discussion ; Antibiotic exposure correlated with diversity; however, other environmental and host factors not easily obtainable in a clinical setting are also known to impact the microbiota. Therefore, direct measurement of microbiome disruption by sequencing, rather than reliance on surrogate markers, might be most predictive of adverse outcomes. ; Conclusions ; If and when microbiome characterization becomes a standard diagnostic test, improving our understanding of microbiome dynamics will allow for interpretation of results to improve patient outcomes.
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Subjects:
- Adult
- Aged
- Bacteria
- Cluster Analysis
- Cross-Sectional Studies
- DNA, Bacterial
- DNA, Ribosomal
- Diarrhea
- Fecal Microbiota Transplantation
- Feces
- Female
- Gastrointestinal Microbiome
- Hospitals
- Humans
- Long-Term Care
- Male
- Microbiota
- Middle Aged
- Phylogeny
- Pilot Projects
- RNA, Ribosomal, 16S
- Sequence Analysis, DNA
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Keywords:
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Source:Am J Infect Control. 44(7):830-836
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Pubmed ID:26905790
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Pubmed Central ID:PMC6538413
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Document Type:
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Funding:
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Volume:44
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Issue:7
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Download URL:
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File Type:
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Collection(s):
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Main Document Checksum:urn:sha256:0927240028140a10e3dbb3cd0fdd2ae1c6504a18ead1b41fc3502bb8ac486990
Supporting Files
File Language:
English
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