Evidence map›Paper›PMID 28634220›Full record

ArticleThorax2017

Tidal changes on CT and progression of ARDS.

Maurizio Cereda, Yi Xin, Hooman Hamedani, Giacomo Bellani, Stephen Kadlecek, Justin Clapp, Luca Guerra, Natalie Meeder, Jennia Rajaei, Nicholas J Tustison and 3 more

Abstract read
In one paragraph

Article in Thorax, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Observational
  8. Review
  9. Article
  10. Review
  11. Review
  12. Unshrinking the baby lung to calm the VILI vortex.Critical care (London, England) · 2022
    Review
  13. Imatinib alleviates lung injury and prolongs survival in ventilated rats.American journal of physiology. Lung cellular and molecular physiology · 2022
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Review
  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

13 authors.

Maurizio CeredaDepartment of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Yi XinDepartment of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Hooman HamedaniDepartment of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Giacomo BellaniDepartment of Emergency and Intensive Care, University of Milan-Bicocca, Monza, Italy.
Stephen KadlecekDepartment of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Justin ClappDepartment of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Luca GuerraDepartment of Nuclear Medicine, University of Milan-Bicocca, Monza, Italy.
Natalie MeederDepartment of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Jennia RajaeiDepartment of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Nicholas J TustisonDepartment of Radiology and Medical Imaging, University of Virginia, Charlottesville, Viriginia, USA.
James C GeeDepartment of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Brian P KavanaghDepartment of Critical Care Medicine, Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada.
Rahim R RiziDepartment of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Funding

A New Approach for the Assessment of Pulmonary InflammationR01HL124986 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI RIZI, RAHIM R · 2015 to 2018
$3.0M
ITK-Lung: A Software Framework for Lung Image Processing and AnalysisR01HL133889 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI GEE, JAMES C · 2017 to 2020
$2.3M
Molecular Imaging of the Lung Using Hyperpolarized Carbon-13 CompoundsR01HL116342 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI RIZI, RAHIM R · 2012 to 2014
$1.2M
CIHRNHLBI NIH HHS R01 HL116342NHLBI NIH HHS R01 HL124986NHLBI NIH HHS R01 HL133889
6 · The paper itself

Abstract

backgroundUncertain prediction of outcome in acute respiratory distress syndrome (ARDS) impedes individual patient management and clinical trial design.

objectivesTo develop a radiological metric of injurious inflation derived from matched inspiratory and expiratory CT scans, calibrate it in a model of experimental lung injury, and test it in patients with ARDS.

methods73 anaesthetised rats (acid aspiration model) were ventilated (protective or non-protective) for up to 4 hours to generate a spectrum of lung injury. CT was performed (inspiratory and expiratory) at baseline each hour, paired inspiratory and expiratory images were superimposed and voxels tracked in sequential scans. In nine patients with ARDS, paired inspiratory and expiratory CT scans from the first intensive care unit week were analysed.

resultsIn experimental studies, regions of lung with unstable inflation (ie, partial or reversible airspace filling reflecting local strain) were the areas in which subsequent progression of injury was greatest in terms of progressive infiltrates (R=0.77) and impaired compliance (R=0.67, p<0.01). In patients with ARDS, a threshold fraction of tissue with unstable inflation was apparent: >28% in all patients who died and ≤28% in all who survived, whereas segregation of survivors versus non-survivors was not possible based on oxygenation or lung mechanics.

conclusionsA single set of superimposed inspiratory-expiratory CT scans may predict progression of lung injury and outcome in ARDS; if these preliminary results are validated, this could facilitate clinical trial recruitment and individualised care.

Indexed as

Tidal VolumeTomography, X-Ray ComputedAdultAnimalsDisease Models, AnimalDisease ProgressionExhalationHumansInhalationPredictive Value of TestsRatsRespiration, ArtificialRespiratory Distress SyndromeSensitivity and SpecificitySevere Acute Respiratory SyndromeSeverity of Illness Indexacute lung injuryartificial respirationcomputed tomographydiagnostic imagingventilator-induced lung injury\

Identifiers

PMID28634220
PMCPMC5738538

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.