Evidence map›Paper›PMID 33287847›Full record

ArticleJournal of translational medicine2020

Respiratory microbiome profiles differ by recent hospitalization and nursing home residence in patients on mechanical ventilation.

Min-Gyung Baek, Seong Ji Woo, Nam Eun Kim, Chaeyun Baek, Sungho Won, Youngmi Kim, Jae Jun Lee, Hana Yi, Ji Young Hong

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

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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

9 authors at 3 institutions in 3 countries.

Min-Gyung BaekDepartment of Public Health, Korea University, Seoul, Republic of Korea.
Seong Ji WooInstitute of New Frontier Research, Hallym University College of Medicine, Chuncheon, Republic of Korea.
Nam Eun KimDepartment of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea.
Chaeyun BaekDepartment of Public Health, Korea University, Seoul, Republic of Korea.
Sungho WonInstitute of Health and Environment, Seoul National University, Seoul, Republic of Korea.
Youngmi KimInstitute of New Frontier Research, Hallym University College of Medicine, Chuncheon, Republic of Korea.
Jae Jun LeeInstitute of New Frontier Research, Hallym University College of Medicine, Chuncheon, Republic of Korea.
Hana YiSchool of Biosystems and Biomedical Sciences, College of Health Science, Korea University, Seoul, Republic of Korea. hanayi@korea.ac.kr.
Ji Young HongInstitute of New Frontier Research, Hallym University College of Medicine, Chuncheon, Republic of Korea. mdhong@hallym.or.kr.ORCID 0000-0002-3132-7706
Hallym University · KRKorea University · KRSeoul National University · KR

Funding

Hallym University Hallym University Research FundNational Research Foundation of Korea 2020R1A2C1011455National Research Foundation of Korea NRF-2017M3A9E8033225
6 · The paper itself

Abstract

backgroundHealthcare-associated pneumonia (HCAP) is a heterogeneous disease. We redefined nursing-home- and hospital-associated infections (NHAI) group by revising existing HCAP risk factors. The NHAI group comprised nursing home residents with a poor functional status, or recent (past 90 days) hospitalization or recent (past 180 days) antibiotic therapy. Our aim was to determine whether respiratory microbiota profiles are related to newly defined NHAI group in critically ill patients on mechanical ventilation.

methodsThe 180 endotracheal aspirates (ETAs) from 60 mechanically ventilated ICU patients (NHAI group, n = 24; non-NHAI group, n = 36) were prospectively collected on days 1, 3 and 7 in a university hospital. The bacterial community profiles of the ETAs were explored by 16S rRNA gene sequencing. A phylogenetic-tree-based microbiome association test (TMAT), generalized linear mixed models (GLMMs), the Wilcoxon test and the reference frame method were used to analyze the association between microbiome abundance and disease phenotype.

resultsThe relative abundance of the genus Corynebacterium was significantly higher in the pneumonia than in the non-pneumonia group. The microbiome analysis revealed significantly lower α-diversity in the NHAI group than in the non-NHAI group. In the analysis of β-diversity, the structure of the microbiome also differed significantly between the two groups (weighted UniFrac distance, Adonis, p < 0.001). The abundance of Corynebacterium was significantly higher, and the relative abundances of Granulicatella, Staphylococcus, Streptococcus and Veillonella were significantly lower, in the NHAI group than in the non-NHAI group.

conclusionsThe microbiota signature of the ETAs distinguished between patients with and without risk factors for NHAI. The lung microbiome may serve as a therapeutic target for NHAI group.

Indexed as

MicrobiotaRespiration, ArtificialHospitalizationHumansNursing HomesPhylogenyRNA, Ribosomal, 16SRNA, Ribosomal, 16SHCAPMechanical ventilationMicrobiomePneumonia

Identifiers

PMID33287847
PMCPMC7720271
OpenAlexW3111163247

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.