Evidence map›Paper›PMID 35806990›Full record

ArticleJournal of clinical medicine2022

Methods for Determination of Individual PEEP for Intraoperative Mechanical Ventilation Using a Decremental PEEP Trial.

Felix Girrbach, Franziska Zeutzschel, Susann Schulz, Mirko Lange, Alessandro Beda, Antonio Giannella-Neto, Hermann Wrigge, Philipp Simon

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. 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
1.4field-weighted citation impact, top 18% 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.

  1. Review
  2. [Application of electrical impedance tomography in diagnosis and monitoring of pulmonary diseases].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025
    Review
  3. Review
  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

8 authors at 5 institutions in 2 countries.

Felix GirrbachDepartment of Anesthesiology and Intensive Care, University of Leipzig Medical Center, 04103 Leipzig, Germany.ORCID 0000-0002-8371-6463
Franziska ZeutzschelDepartment of Anesthesiology and Intensive Care, University of Leipzig Medical Center, 04103 Leipzig, Germany.
Susann SchulzDepartment of Anesthesiology and Intensive Care, University of Leipzig Medical Center, 04103 Leipzig, Germany.
Mirko LangeDepartment of Anesthesiology and Intensive Care, University of Leipzig Medical Center, 04103 Leipzig, Germany.
Alessandro BedaDepartment of Electronic Engineering and Postgraduate Program of Electrical Engineering, Federal University of Minas Gerais, Belo Horizonte 31270-901, Brazil.ORCID 0000-0002-1867-9846
Antonio Giannella-NetoPrograma de Engenharia Biomédica-COPPE, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-901, Brazil.ORCID 0000-0001-6320-6338
Hermann WriggeIntegrated Research and Treatment Centre (IFB) Adiposity Diseases, University of Leipzig, 04103 Leipzig, Germany.
Philipp SimonAnesthesiology and Operative Intensive Care, Faculty of Medicine, University of Augsburg, 86161 Augsburg, Germany.ORCID 0000-0003-2696-3254
Leipzig University · DEIFB Adiposity Diseases · DEUniversidade Federal de Minas Gerais · BRUniversidade Federal do Rio de Janeiro · BRUniversity of Augsburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: Individual PEEP settings (PEEPIND) may improve intraoperative oxygenation and optimize lung mechanics. However, there is uncertainty concerning the optimal procedure to determine PEEPIND. In this secondary analysis of a randomized controlled clinical trial, we compared different methods for PEEPIND determination. (2) Methods: Offline analysis of decremental PEEP trials was performed and PEEPIND was retrospectively determined according to five different methods (EIT-based: RVDI method, Global Inhomogeneity Index [GI], distribution of tidal ventilation [EIT VT]; global dynamic and quasi-static compliance). (3) Results: In the 45 obese and non-obese patients included, PEEPIND using the RVDI method (PEEPRVD) was 16.3 ± 4.5 cm H2O. Determination of PEEPIND using the GI and EIT VT resulted in a mean difference of −2.4 cm H2O (95%CI: −1.2;−3.6 cm H2O, p = 0.01) and −2.3 cm H2O (95% CI: −0.9;3.7 cm H2O, p = 0.01) to PEEPRVD, respectively. PEEPIND selection according to quasi-static compliance showed the highest agreement with PEEPRVD (p = 0.67), with deviations > 4 cm H2O in 3/42 patients. PEEPRVD and PEEPIND according to dynamic compliance also showed a high level of agreement, with deviations > 4 cm H2O in 5/42 patients (p = 0.57). (4) Conclusions: High agreement of PEEPIND determined by the RVDI method and compliance-based methods suggests that, for routine clinical practice, PEEP selection based on best quasi-static or dynamic compliance is favorable.

Indexed as

electrical impedance tomographygeneral anesthesiamechanical ventilationpositive end-expiratory pressure

Identifiers

PMID35806990
PMCPMC9267263
OpenAlexW4283656677

What OpenQuestion holds

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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.