Evidence map›Paper›PMID 38435386›Full record

ArticleFrontiers in medicine2024

Development and evaluation of a mechanical ventilator-sharing system.

Satyanarayana Achanta, Michael A Gentile, Neil R Euliano

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 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
0.8field-weighted citation impact, top 28% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

3 authors at 2 institutions in 1 country.

Satyanarayana AchantaDepartment of Anesthesiology, Duke University School of Medicine, Durham, NC, United States.
Michael A GentileDepartment of Anesthesiology, Duke University School of Medicine, Durham, NC, United States.
Neil R EulianoConvergent Engineering Inc., Gainesville, FL, United States.
Duke University · USConvergent Engineering (United States) · US

Funding

Advanced TRPA1 Inhibitor for the Treatment of Chlorine Inhalation InjuryU01ES030672 · NIEHS · DUKE UNIVERSITY · PI ACHANTA, SATYANARAYANA, JORDT, SVEN-ERIC · 2019 to 2021
$2.3M
Pulmonary cell fate and lung repair in rodent and porcine models of chlorine and phosgene inhalation injuriesR01ES034387 · NIEHS · DUKE UNIVERSITY · PI ACHANTA, SATYANARAYANA, JORDT, SVEN-ERIC · 2022 to 2024
$1.4M
Specialized pro-resolving mediators as potential medical countermeasures in a pig model of chlorine gas-induced acute lung injuryR21ES030331 · NIEHS · DUKE UNIVERSITY · PI ACHANTA, SATYANARAYANA, JORDT, SVEN-ERIC · 2020 to 2021
$443k
Inhibition of soluble epoxide hydrolase protects against phosgene-induced lung injuriesR21ES033020 · NIEHS · DUKE UNIVERSITY · PI ACHANTA, SATYANARAYANA · 2021 to 2022
$443k
NIEHS NIH HHS R01 ES034387NIEHS NIH HHS R21 ES030331NIEHS NIH HHS R21 ES033020NIEHS NIH HHS U01 ES030672
6 · The paper itself

Abstract

Background: During the COVID-19 pandemic surge in the hospitalization of critically ill patients and the global demand for mechanical ventilators, alternative strategies for device sharing were explored. We developed and assessed the performance of a system for shared ventilation that uses clinically available components to individualize tidal volumes under a variety of clinically relevant conditions. The feasibility of remote monitoring of ventilators was also assessed. Methods: By using existing resources and off-the-shelf components, a ventilator-sharing system (VSS) that ventilates 2 patients simultaneously with a single device, and a ventilator monitoring system (VMS) that remotely monitors pulmonary mechanics were developed. The feasibility and effectiveness of VSS and VMS were evaluated in benchtop testing using 2 test lungs on a single ventilator, and then performance was assessed in translational swine models of normal and impaired lung function. Results: In benchtop testing, VSS and VMS delivered the set individualized parameters with minimal % errors in test lungs under pressure- and volume-regulated ventilation modes, suggesting the highest precision and accuracy. In animal studies, the VSS and VMS successfully delivered the individualized mechanical ventilation parameters within clinically acceptable limits. Further, we found no statistically significant difference between the target and measured values. Conclusion: The VSS adequately ventilated 2 test lungs or animals with variable lung conditions. The VMS accurately displayed mechanical ventilation settings, parameters, and alarms. Both of these systems could be rapidly assembled for scaling up to ventilate several critically ill patients in a pandemic or mass casualty disaster situations by leveraging off-the-shelf and custom 3D printed components.

Indexed as

COVID-19mass casualty eventsmechanical ventilationpersonalized ventilator sharingremote ventilator monitoringventilator sharingventilator shortageventilator splitting

Identifiers

PMID38435386
PMCPMC10905385
OpenAlexW4391910095

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.