Evidence map›Paper›PMID 32513256›Full record

ArticleMicrobiome2020

Temporal variations in bacterial community diversity and composition throughout intensive care unit renovations.

Jessica Chopyk, Kevan Akrami, Tovia Bavly, Ji H Shin, Leila K Schwanemann, Melissa Ly, Richa Kalia, Ying Xu, Scott T Kelley, Atul Malhotra and 3 more

Open access · goldAbstract read
In one paragraph

Article in Microbiome, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
0.4field-weighted citation impact, top 25% of its field
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

20 citing papers in PubMed, 34 citations in OpenAlex.

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  19. Defining the wheat microbiome: Towards microbiome-facilitated crop production.Computational and structural biotechnology journal · 2021
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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

13 authors at 2 institutions in 1 country.

Jessica ChopykDepartment of Pathology, University of California, San Diego, USA.ORCID 0000-0001-8139-255X
Kevan AkramiDepartment of Medicine, University of California, San Diego, USA.
Tovia BavlyDepartment of Pathology, University of California, San Diego, USA.
Ji H ShinDepartment of Pathology, University of California, San Diego, USA.
Leila K SchwanemannDepartment of Pathology, University of California, San Diego, USA.
Melissa LyDepartment of Pathology, University of California, San Diego, USA.
Richa KaliaDepartment of Biology, San Diego State University, San Diego, USA.
Ying XuDepartment of Biology, San Diego State University, San Diego, USA.
Scott T KelleyDepartment of Biology, San Diego State University, San Diego, USA.
Atul MalhotraDepartment of Medicine, University of California, San Diego, USA.
Francesca J TorrianiDepartment of Medicine, University of California, San Diego, USA.
Daniel A SweeneyDepartment of Medicine, University of California, San Diego, USA.
David T PrideDepartment of Pathology, University of California, San Diego, USA. dpride@ucsd.edu.
University of California San Diego · USSan Diego State University · US

Funding

Is Obstructive Sleep Apnea Important in the Development of Alzheimer's DiseaseR01AG063925 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MALHOTRA, ATUL · 2020 to 2024
$3.7M
Single Motor Unit Genioglossus Recordings to Understand Sleep Apnea PathogenesisR01HL085188 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MALHOTRA, ATUL · 2008 to 2018
$3.5M
Underlying mechanisms of obesity-induced obstructive sleep apneaR01HL148436 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Atul Malhotra · 2020 to 2026
$3.4M
Training in the Next Generation in Respiratory ScienceT32HL134632 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MALHOTRA, ATUL, POWELL, FRANK L. · 2017 to 2021
$2.1M
Assessment of Upper Airway Mechanics Using Newer Electromyographic TechniquesK24HL132105 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MALHOTRA, ATUL · 2016 to 2020
$611k
NHLBI NIH HHS K24 HL132105NHLBI NIH HHS R01 HL085188NHLBI NIH HHS R01 HL148436NHLBI NIH HHS T32 HL134632NIA NIH HHS R01 AG063925
6 · The paper itself

Abstract

backgroundInanimate surfaces within a hospital serve as a reservoir of microbial life that may colonize patients and ultimately result in healthcare associated infections (HAIs). Critically ill patients in intensive care units (ICUs) are particularly vulnerable to HAIs. Little is known about how the microbiome of the ICU is established or what factors influence its evolution over time. A unique opportunity to bridge the knowledge gap into how the ICU microbiome evolves emerged in our health system, where we were able to characterize microbial communities in an established hospital ICU prior to closing for renovations, during renovations, and then after re-opening.

resultsWe collected swab specimens from ICU bedrails, computer keyboards, and sinks longitudinally at each renovation stage, and analyzed the bacterial compositions on these surfaces by 16S rRNA gene sequencing. Specimens collected before ICU closure had the greatest alpha diversity, while specimens collected after the ICU had been closed for over 300 days had the least. We sampled the ICU during the 45 days after re-opening; however, within that time frame, the alpha diversity never reached pre-closure levels. There were clear and significant differences in microbiota compositions at each renovation stage, which was driven by environmental bacteria after closure and human-associated bacteria after re-opening and before closure.

conclusionsOverall, we identified significant differences in microbiota diversity and community composition at each renovation stage. These data help to decipher the evolution of the microbiome in the most critical part of the hospital and demonstrate the significant impacts that microbiota from patients and staff have on the evolution of ICU surfaces. Video Abstract.

Indexed as

BiodiversityEnvironmental MicrobiologyHospital Design and ConstructionIntensive Care UnitsMicrobiotaBacteriaRNA, Ribosomal, 16STime FactorsRNA, Ribosomal, 16SBuilt environmentHuman microbiomeIntensive care unitMicrobial diversity

Identifiers

PMID32513256
PMCPMC7278141
OpenAlexW3033947393

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.