Evidence map›Paper›PMID 40019703›Full record

ArticleIntensive care medicine experimental2025

Elucidating the causal relationship of mechanical power and lung injury: a dynamic approach to ventilator management.

ChaoPing Wu, Arif Canakoglu, Jacob Vine, Anya Mathur, Ronit Nath, Markos Kashiouris, Piyush Mathur, Ari Ercole, Paul Elbers, Abhijit Duggal and 2 more

Abstract read
In one paragraph

Article in Intensive care medicine experimental, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

ChaoPing Wu *Critical Care, Integrated Hospital Care Institute, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH, 44195, USA.
Arif Canakoglu *Department of Anestesia, Intensive Care and Emergency, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via Francesco Sforza 35, 20122, Milan, Italy.
Jacob VineCenter for Resuscitation Science, Beth Israel Deaconess Medical Center, 1 Deaconess Rd, Boston, MA, 02215, USA.
Anya MathurWestern Reserve Academy, 115 College St, Hudson, OH, 44236, USA.
Ronit NathComputer Science, University of California, Berkeley, 387 Soda Hall, Berkeley, CA, 94720, USA.
Markos KashiourisCritical Care, INOVA Fairfax Hospital, 3300 Gallows Rd, Falls Church, VA, 22042, USA.
Piyush MathurAnesthesiology, Integrated Hospital Care Institute, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH, 44195, USA.
Ari ErcoleCambridge Center for Artificial Intelligence in Medicine., 3rd Floor University Centre, Granta Pl, Mill Lane, Cambridge, CB2 1RU, UK.
Paul ElbersIntensive Care Medicine, Amsterdam UMC, Meibergdreef 9, 1105 AZ, Amsterdam, Netherlands.
Abhijit DuggalCritical Care, Integrated Hospital Care Institute, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH, 44195, USA.
Ken Koon Wong *Infectious Diseases, Integrated Hospital Care Institute, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH, 44195, USA.
Anirban Bhattacharyya *Critical Care, Mayo Clinic, 4500 San Pablo Rd S, Jacksonville, FL, 32224, USA. bhattacharyya.anirban@mayo.edu.ORCID http://orcid.org/0000-0002-1646-709X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMechanical power (MP) serves as a crucial predictive indicator for ventilator-induced lung injury and plays a pivotal role in tailoring the management of mechanical ventilation. However, its application across different diseases and stages remains nuanced.

methodsUsing AmsterdamUMCdb, we conducted a retrospective study to analyze the causal relationship between MP and outcomes of invasive mechanical ventilation, specifically SpO

resultsIn the study, we included 11,110 unique admissions into analysis, of which 58.3% (6391) were surgical admissions. We revealed a negative and significant causal effect of median MP on VFD28, with estimated ATEs of -0.135 (95% confidence interval [CI]: -0.15 to -0.121). The similar effect was not observed in Maximal MP and minimal MP. The effect of MP was more pronounced in the medical subgroup, with a CATE of -0.173 (95% CI: -0.197 to -0.143) determined through backdoor linear regression. Patients with cardio, respiratory, and infection diagnoses, who required long-term intubation, sustained higher impact on CATEs across various admission diagnoses. Our simulations showed that there is no single MP threshold that can be applied to all patients, as the optimal threshold varies depending on the patient's condition.

conclusionOur study underscores the importance of tailoring MP adjustments on an individualized basis in ventilator management. This approach opens up new avenues for personalized treatment strategies and provides fresh insights into the real-time impact of MP in diverse clinical scenarios. It highlights the significance of median MP while acknowledging the absence of universally applicable thresholds.

Indexed as

Causal inferenceCounterfactual testingDirect acyclic graphMachine learningMechanical powerMechanical ventilationOutcomes research

Identifiers

PMID40019703
PMCPMC11871266

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.