Evidence map›Paper›PMID 27142073›Full record

ArticleCritical care (London, England)2016

Identification of regional overdistension, recruitment and cyclic alveolar collapse with electrical impedance tomography in an experimental ARDS model.

Songqiao Liu, Li Tan, Knut Möller, Inez Frerichs, Tao Yu, Ling Liu, Yingzi Huang, Fengmei Guo, Jingyuan Xu, Yi Yang and 2 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Critical care (London, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05024500 (Clinical, Respiratory, Peripheral, Muscle and Functionality Outcomes of Adult ICU Inpatients and Rehabilitation-center Outpatients With COVID-19), which is not on this map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
5.1field-weighted citation impact, top 4% 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.

NCT05024500 nacompletednot on this mapstarted 2020, after this paper: background citation

Clinical, Respiratory, Peripheral, Muscle and Functionality Outcomes of Adult ICU Inpatients and Rehabilitation-center Outpatients With COVID-19

TypeinterventionalSponsorUniversity of PernambucoRan2020 to 2022Enrolled75ConditionsAcute Respiratory Distress Syndrome (ARDS)ArmsARDSNet table, Driving Pressure, Electrical Impedance Tomography
3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 52 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Observational
  6. Review
  7. Article
  8. Observational
  9. Article
  10. Imaging the Lung in ARDS: A Primer.Respiratory care · 2024
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
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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

12 authors at 2 institutions in 2 countries.

Songqiao LiuDepartment of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu Province, 210009, China.
Li TanDepartment of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu Province, 210009, China.
Knut MöllerInstitute of Technical Medicine, Furtwangen University, Jakob-Kienzle Straße 17, 78054, VS-Schwenningen, Germany.
Inez FrerichsDepartment of Anesthesiology and Intensive Care Medicine, University Medical Center of Schleswig-Holstein Campus Kiel, Arnold-Heller-Straße 3, 24105, Kiel, Germany.
Tao YuDepartment of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu Province, 210009, China.
Ling LiuDepartment of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu Province, 210009, China.
Yingzi HuangDepartment of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu Province, 210009, China.
Fengmei GuoDepartment of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu Province, 210009, China.
Jingyuan XuDepartment of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu Province, 210009, China.
Yi YangDepartment of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu Province, 210009, China.
Haibo QiuDepartment of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu Province, 210009, China. haiboq2000@163.com.
Zhanqi ZhaoInstitute of Technical Medicine, Furtwangen University, Jakob-Kienzle Straße 17, 78054, VS-Schwenningen, Germany.
Zhongda Hospital Southeast University · CNFurtwangen University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInformation on regional ventilation distribution in mechanically ventilated patients is important to develop lung protective ventilation strategies. In the present prospective animal study, we introduce an electrical impedance tomography (EIT)-based method to classify lungs into normally ventilated, overinflated, tidally recruited/derecruited and recruited regions.

methodsAcute respiratory distress syndrome (ARDS) was introduced with repeated bronchoalveolar lavage in ten healthy male pigs until the ratio of arterial partial pressure of oxygen and fraction of inspired oxygen (PaO2/FiO2) decreased to less than 100 mmHg and remained stable for 30 minutes. Stepwise positive end-expiratory pressure (PEEP) increments were performed from 0 cmH2O to 30 cmH2O with 3 cmH2O increase every 5 minutes. Respiratory system compliance (Crs), blood gases and hemodynamics were measured at the same time. Lung regions at end-expiration and during tidal breathing were identified in EIT images.

resultsOverinflated regions contain air at end-expiration but they are not or are only minimally ventilated. Recruited regions compared to reference PEEP level contain air at end-expiration of arbitrary PEEP level but not at that of reference PEEP level. Tidally recruited/derecruited regions are not represented in lung regions at end-expiration but are ventilated during tidal breathing. The results coincided with measurements of blood gases. The coefficient for correlation between the number of recruited pixels and PaO2/FiO2 was 0.89 ± 0.12 (p = 0.02).

conclusionThe proposed novel EIT-based method provides information on overinflation, recruitment and cyclic alveolar collapse at the bedside, which may improve the ventilation strategies used.

Indexed as

Models, AnimalAnimalsElectric ImpedanceHumansLungProspective StudiesRespiration, ArtificialRespiratory Distress SyndromeSwineTidal VolumeTomographyAcute respiratory distress syndromeElectrical impedance tomographyMechanical ventilationOverinflatedRecruitment/derecruitment

Identifiers

PMID27142073
PMCPMC4855824
OpenAlexW2347190905

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.