Evidence map›Paper›PMID 26905790›Full record

ArticleAmerican journal of infection control2016

Intestinal microbiome disruption in patients in a long-term acute care hospital: A case for development of microbiome disruption indices to improve infection prevention.

Alison Laufer Halpin, Tom J B de Man, Colleen S Kraft, K Allison Perry, Austin W Chan, Sung Lieu, Jeffrey Mikell, Brandi M Limbago, L Clifford McDonald

Abstract read
In one paragraph

Article in American journal of infection control, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

  1. Trial
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  7. Framing Bacterial Genomics for Public Health (Care).Journal of clinical microbiology · 2021
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Epidemiological and Microbiome Associations BetweenOpen forum infectious diseases · 2020
    Article
  13. Article
  14. Article
  15. Article
  16. Chrononutrition Applied to Diabetes Management: A Paradigm Shift Long Delayed.Diabetes spectrum : a publication of the American Diabetes Association · 2018
    Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Alison Laufer HalpinDivision of Healthcare Quality and Promotion, Centers for Disease Control and Prevention, Atlanta, GA. Electronic address: ALaufer@cdc.gov.
Tom J B de ManDivision of Healthcare Quality and Promotion, Centers for Disease Control and Prevention, Atlanta, GA.
Colleen S KraftDepartment of Pathology and Laboratory Medicine, Emory University, Atlanta, GA.
K Allison PerryDivision of Healthcare Quality and Promotion, Centers for Disease Control and Prevention, Atlanta, GA.
Austin W ChanDivision of Infectious Diseases, Duke University, Durham, NC.
Sung LieuDepartment of Medicine, Emory University, Atlanta, GA.
Jeffrey MikellDepartment of Medicine, Emory University, Atlanta, GA.
Brandi M LimbagoDivision of Healthcare Quality and Promotion, Centers for Disease Control and Prevention, Atlanta, GA.
L Clifford McDonaldDivision of Healthcare Quality and Promotion, Centers for Disease Control and Prevention, Atlanta, GA.

Funding

Virology and Molecular Biomarkers CoreP30AI050409 · NIAID · EMORY UNIVERSITY · PI Carlos del Rio · 2002 to 2026
$74.0M
Intramural CDC HHS CC999999NIAID NIH HHS P30 AI050409
6 · The paper itself

Abstract

backgroundComposition 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.

methodsStool was collected from 8 long-term acute care hospital patients experiencing diarrhea and 2 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.

resultsAntibiotic 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.

conclusionsAntibiotic 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. 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.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaAdultAgedBacteriaCluster AnalysisCross-Sectional StudiesDiarrheaDNA, BacterialDNA, RibosomalFecal Microbiota TransplantationFecesFemaleHospitalsHumansLong-Term CareDNA, BacterialDNA, RibosomalRNA, Ribosomal, 16Santibiotic usecarbapenem-resistant EnterobacteriaceaeClostridium difficileInfection controlintestinal microbiomelong-term acute carevancomycin-resistant enterococci

Identifiers

PMID26905790
PMCPMC6538413

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.