Evidence map›Paper›PMID 39959801›Full record

ArticleTanaffos2024

Airflow-Related Shear Stress: The Main Cause of VILI or not?

Hamidreza Jamaati, Mojdeh Monjezi

Abstract read
In one paragraph

Article in Tanaffos, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Hamidreza JamaatiChronic Respiratory Diseases Research Center (CRDRC), National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mojdeh MonjeziChronic Respiratory Diseases Research Center (CRDRC), National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The physical basis of ventilator-induced lung injury has been explored extensively in the last decades. The three mechanisms named volutrauma (overdistension of alveoli), barotrauma (high airway pressure), and atelectrauma (cyclic opening and closing of alveoli) have been known as the main mechanisms of lung injury. Lowering tidal volume and applying positive end-expiratory pressure have been suggested to minimize these mechanisms. Besides, some researchers believe that elevated airflow-related shear stress on the epithelial cell layer could cause an inflammatory response. Materials and Method: In this study, a simplified 0-D model for air flow in human lungs has computed the airflow-related shear stress. The airway resistance, compliance, and inertance have been calculated using Womersley analysis and included in this model. Considering a constant flow, volume-controlled mechanical ventilation, the effect of ventilation parameters including tidal volume, respiratory rate, and inspiratory/expiratory ratio on the magnitude of shear stress has been investigated. Results: The results show that high tidal volume, high respiratory rate, and low inspiratory/expiratory ratio, increase the magnitude of wall shear stress but still in the safety range. Conclusion: This result suggests that airflow-related shear stress is not the primary cause of mechanical damage. So far, it has been assumed that wall shear stress plays a critical role in ventilator-induced lung injury. This paper enhances our understanding of wall shear stress magnitude, indicating that the shear stress from airflow in mechanical ventilation is not high enough to inflict mechanical damage on pulmonary epithelial cells.

Indexed as

ComplianceInertanceResistanceVentilator Induced Lung InjuryWall Shear Stress

Identifiers

PMID39959801
PMCPMC11825074

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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.