Evidence map›Paper›PMID 29112971›Full record

ArticlePloS one2017

Effects of positive end-expiratory pressure and recruitment maneuvers in a ventilator-induced injury mouse model.

Laura A Cagle, Lisa M Franzi, Angela L Linderholm, Jerold A Last, Jason Y Adams, Richart W Harper, Nicholas J Kenyon

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. 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, 9 citations in OpenAlex.

  1. Observational
  2. Role of Dual Oxidases in Ventilator-induced Lung Injury.American journal of respiratory cell and molecular biology · 2021
    Article
  3. Article
  4. Article
  5. 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

7 authors at 1 institution in 1 country.

Laura A CagleCenter for Comparative Respiratory Biology and Medicine, University of California, Davis, Davis, CA, United States of America.ORCID http://orcid.org/0000-0001-9926-7183
Lisa M FranziCenter for Comparative Respiratory Biology and Medicine, University of California, Davis, Davis, CA, United States of America.
Angela L LinderholmCenter for Comparative Respiratory Biology and Medicine, University of California, Davis, Davis, CA, United States of America.
Jerold A LastCenter for Comparative Respiratory Biology and Medicine, University of California, Davis, Davis, CA, United States of America.
Jason Y AdamsDivision of Pulmonary, Critical Care, and Sleep Medicine, School of Medicine, University of California, Davis, Davis, CA, United States of America.
Richart W HarperCenter for Comparative Respiratory Biology and Medicine, University of California, Davis, Davis, CA, United States of America.
Nicholas J KenyonCenter for Comparative Respiratory Biology and Medicine, University of California, Davis, Davis, CA, United States of America.
University of California, Davis · US

Funding

TRAINING IN COMPARATIVE LUNG BIOLOGY AND MEDICINET32HL007013 · NHLBI · UNIVERSITY OF CALIFORNIA DAVIS · PI Elena Goncharova, Nicholas J. KENYON · 1985 to 2026
$10.1M
L-arginine as a therapy in severe asthmaR01HL105573 · NHLBI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KENYON, NICHOLAS J. · 2012 to 2016
$1.9M
NHLBI NIH HHS R01 HL105573NHLBI NIH HHS T32 HL007013
6 · The paper itself

Abstract

backgroundPositive-pressure mechanical ventilation is an essential therapeutic intervention, yet it causes the clinical syndrome known as ventilator-induced lung injury. Various lung protective mechanical ventilation strategies have attempted to reduce or prevent ventilator-induced lung injury but few modalities have proven effective. A model that isolates the contribution of mechanical ventilation on the development of acute lung injury is needed to better understand biologic mechanisms that lead to ventilator-induced lung injury.

objectivesTo evaluate the effects of positive end-expiratory pressure and recruitment maneuvers in reducing lung injury in a ventilator-induced lung injury murine model in short- and longer-term ventilation.

methods5-12 week-old female BALB/c mice (n = 85) were anesthetized, placed on mechanical ventilation for either 2 hrs or 4 hrs with either low tidal volume (8 ml/kg) or high tidal volume (15 ml/kg) with or without positive end-expiratory pressure and recruitment maneuvers.

resultsAlteration of the alveolar-capillary barrier was noted at 2 hrs of high tidal volume ventilation. Standardized histology scores, influx of bronchoalveolar lavage albumin, proinflammatory cytokines, and absolute neutrophils were significantly higher in the high-tidal volume ventilation group at 4 hours of ventilation. Application of positive end-expiratory pressure resulted in significantly decreased standardized histology scores and bronchoalveolar absolute neutrophil counts at low- and high-tidal volume ventilation, respectively. Recruitment maneuvers were essential to maintain pulmonary compliance at both 2 and 4 hrs of ventilation.

conclusionsSigns of ventilator-induced lung injury are evident soon after high tidal volume ventilation (as early as 2 hours) and lung injury worsens with longer-term ventilation (4 hrs). Application of positive end-expiratory pressure and recruitment maneuvers are protective against worsening VILI across all time points. Dynamic compliance can be used guide the frequency of recruitment maneuvers to help ameloriate ventilator-induced lung injury.

Indexed as

Disease Models, AnimalAnimalsBronchoalveolar Lavage FluidFemaleMiceMice, Inbred BALB CPositive-Pressure RespirationRespiration, Artificial

Identifiers

PMID29112971
PMCPMC5675408
OpenAlexW2767625889

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.