Evidence map›Paper›PMID 27799386›Full record

ArticleThe European respiratory journal2016

Association of nasopharyngeal microbiota profiles with bronchiolitis severity in infants hospitalised for bronchiolitis.

Kohei Hasegawa, Jonathan M Mansbach, Nadim J Ajami, Janice A Espinola, David M Henke, Joseph F Petrosino, Pedro A Piedra, Chad A Shaw, Ashley F Sullivan, Carlos A Camargo and 1 more

Abstract readMulticenter Study
In one paragraph

Article in The European respiratory journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 121 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
121citing papers in PubMed, 1 pooled it
–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

121 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  10. bioRxiv : the preprint server for biology · 2026
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  18. Association between nasopharyngeal airway lipidome signatures of infants with severe bronchiolitis and risk of recurrent wheeze: A prospective multicenter cohort study.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2024
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61 more citing papers are in PubMed but not listed here.

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

11 authors.

Kohei HasegawaDept of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA khasegawa1@partners.org.ORCID 0000-0002-5739-7999
Jonathan M MansbachDept of Medicine, Boston Children's Hospital, Boston, MA, USA.
Nadim J AjamiAlkek Center for Metagenomics and Microbiome Research, Dept of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA.
Janice A EspinolaDept of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
David M HenkeDept of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
Joseph F PetrosinoAlkek Center for Metagenomics and Microbiome Research, Dept of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA.
Pedro A PiedraDept of Molecular Virology and Microbiology and Pediatrics, Baylor College of Medicine, Houston, TX, USA.
Chad A ShawDept of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
Ashley F SullivanDept of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Carlos A CamargoDept of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
the MARC-35 Investigators

Funding

Host genetics, early-life microbiome, and childhood asthma: MARC-43 BostonUH3OD023253 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI CARLOS ARTURO CAMARGO · 2018 to 2026
$12.1M
Nasal microRNA during bronchiolitis and age 6y asthma phenotypes: MARC-35 cohortR01AI127507 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI CAMARGO, CARLOS ARTURO, FREISHTAT, ROBERT J · 2017 to 2021
$8.0M
Host genetics, early-life microbiome, and childhood asthma: MARC-43 BostonUG3OD023253 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI CAMARGO, CARLOS ARTURO · 2016 to 2024
$6.8M
Prospective Cohort Study of Severe Bronchiolitis and Risk of Recurrent WheezingU01AI087881 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI CAMARGO, CARLOS ARTURO · 2011 to 2016
$6.2M
Infant specific-IgE, rhinovirus-C bronchiolitis, and incident asthma in MARC-35R01AI114552 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI CAMARGO, CARLOS ARTURO · 2015 to 2019
$4.2M
Viral persistence & the microbiome in bronchiolitis and risk of recurrent wheezeR01AI108588 · NIAID · BOSTON CHILDREN'S HOSPITAL · PI MANSBACH, JONATHAN M · 2015 to 2018
$2.9M
Cytokines & transcriptomes in rhinovirus bronchiolitis and risk of incident asthmaR21HL129909 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI HASEGAWA, KOHEI · 2015 to 2016
$506k
NHLBI NIH HHS R21 HL129909NIAID NIH HHS R01 AI108588NIAID NIH HHS R01 AI114552NIAID NIH HHS R01 AI127507NIAID NIH HHS U01 AI087881NIH HHS UG3 OD023253NIH HHS UH3 OD023253
6 · The paper itself

Abstract

Little is known about the relationship between the specific airway microbiota composition and severity of bronchiolitis. We aimed to identify nasopharyngeal microbiota profiles and link these profiles to acute severity in infants hospitalised for bronchiolitis.We conducted a multicentre prospective cohort study of 1005 infants (age <1 year) hospitalised for bronchiolitis over three winters, 2011-2014. By applying a 16S rRNA gene sequence and clustering approach to the nasopharyngeal aspirates collected within 24 h of hospitalisation, we determined nasopharyngeal microbiota profiles and their association with bronchiolitis severity. The primary outcome was intensive care use, i.e. admission to an intensive care unit or use of mechanical ventilation.We identified four nasopharyngeal microbiota profiles: three profiles were dominated by one of Haemophilus, Moraxella or Streptococcus, while the fourth profile had the highest bacterial richness. The rate of intensive care use was highest in infants with a Haemophilus-dominant profile and lowest in those with a Moraxella-dominant profile (20.2% versus 12.3%; unadjusted OR 1.81, 95% CI 1.07-3.11, p=0.03). After adjusting for 11 patient-level confounders, the rate remained significantly higher in infants with Haemophilus-dominant profiles (OR 1.98, 95% CI 1.08-3.62, p=0.03). These findings were externally validated in a separate cohort of 307 children hospitalised for bronchiolitis.

Indexed as

MicrobiotaBronchiolitisCritical CareFemaleHaemophilusHospitalizationHumansInfantInfant, NewbornLength of StayMaleMoraxellaNasopharynxOdds RatioPrevotellaProspective StudiesRNA, Ribosomal, 16S

Identifiers

PMID27799386
PMCPMC5459592

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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.