Evidence map›Paper›PMID 35641652›Full record

ArticleIntensive care medicine experimental2022

Intracycle power distribution in a heterogeneous multi-compartmental mathematical model: possible links to strain and VILI.

Philip S Crooke, Luciano Gattinoni, Michael Michalik, John J Marini

Open access · goldAbstract read
In one paragraph

Article in Intensive care medicine experimental, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. The role of mechanical power in lung ventilation for the prevention of ventilator-induced lung injury: a narrative review.European respiratory review : an official journal of the European Respiratory Society · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Optimized ventilation power to avoid VILI.Journal of intensive care · 2023
    Review
  6. Review
  7. 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

4 authors at 4 institutions in 2 countries.

Philip S CrookeDepartment of Mathematics, Vanderbilt University, Nashville, TN, USA.
Luciano GattinoniDepartment of Anesthesiology and Intensive Care, Gottingen University, Gottingen, Germany.
Michael MichalikDepartment of Medicine, University of Minnesota, Minneapolis, St. Paul, MN, USA.
John J MariniPulmonary and Critical Care Medicine, Regions Hospital, University of Minnesota, MS 11203B, 640 Jackson St., Minneapolis, St. Paul, MN, 55101-2595, USA. marin002@umn.edu.ORCID http://orcid.org/0000-0002-9851-2076
Regions Hospital · USUniversity of Göttingen · DEUniversity of Minnesota · USVanderbilt University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRepeated expenditure of energy and its generation of damaging strain are required to injure the lung by ventilation (VILI). Mathematical modeling of passively inflated, single-compartment lungs with uniform parameters for resistance and compliance indicates that standard clinical modes (flow patterns) differ impressively with respect to the timing and intensity of energy delivery-the intracycle power (ICP) that determines parenchymal stress and strain. Although measures of elastic ICP may accurately characterize instantaneous rates of global energy delivery, how the ICP component delivered to a compartment affects the VILI-linked variable of strain is determined by compartmental mechanics, compartmental size and mode of gas delivery. We extended our one-compartment model of ICP to a multi-compartment setting that varied those characteristics. MAIN

findingsThe primary findings of this model/simulation indicate that: (1) the strain and strain rate experienced within a modeled compartment are nonlinear functions of delivered energy and power, respectively; (2) for a given combination of flow profile and tidal volume, resting compartmental volumes influence their resulting maximal strains in response to breath delivery; (3) flow profile is a key determinant of the maximal strain as well as maximal strain rate experienced within a multi-compartment lung. By implication, different clinician-selected flow profiles not only influence the timing of power delivery, but also spatially distribute the attendant strains of expansion among compartments with diverse mechanical properties. Importantly, the contours and magnitudes of the compartmental ICP, strain, and strain rate curves are not congruent; strain and strain rate do not necessarily follow the compartmental ICP, and the hierarchy of amplitudes among compartments for these variables may not coincide.

conclusionsDifferent flow patterns impact how strain and strain rate develop as compartmental volume crests to its final value. Notably, as inflation proceeds, strain rate may rise or fall even as total strain, a monotonic function of volume, steadily (and predictably) rises. Which flow pattern serves best to minimize the maximal strain rate and VILI risk experienced within any sector, therefore, may strongly depend on the nature and heterogeneity of the mechanical properties of the injured lung.

Indexed as

Flow patternMathematical modelMechanical powerMechanical ventilationMulticompartmentStrainStressVentilation modeVentilator-induced lung injuryVILI

Identifiers

PMID35641652
PMCPMC9156592
OpenAlexW4281718126

What OpenQuestion holds

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LicenceCC BY
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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.