Evidence map›Paper›PMID 41023443›Full record

ArticleAnnals of intensive care2025

Mechanical power normalisation methods to predict ICU mortality: a retrospective cohort study.

Reza Khorasanee, Barnaby Sanderson, Emilia Tomarchio, Patrick D Collins, Riccardo Del Signore, Sridevi Shetty, Mara Chioccola, Francesca Pugliese, Francesca Collino, Louise Rose and 2 more

Abstract read
In one paragraph

Article in Annals of intensive care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Observational
  2. Article
  3. Review
  4. 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.

Reza KhorasaneeDepartment of Anaesthesia, Croydon University Hospital, London, CR7 7YE, UK. reza.khorasanee@nhs.net.
Barnaby SandersonDepartment of Adult Critical Care, Guy's and St Thomas' NHS Foundation Trust, London, SE1 7EH, UK.
Emilia TomarchioDepartment of Adult Critical Care, Guy's and St Thomas' NHS Foundation Trust, London, SE1 7EH, UK.
Patrick D CollinsDepartment of Adult Critical Care, Guy's and St Thomas' NHS Foundation Trust, London, SE1 7EH, UK.
Riccardo Del SignoreDepartment of Adult Critical Care, Guy's and St Thomas' NHS Foundation Trust, London, SE1 7EH, UK.
Sridevi ShettyDepartment of Adult Critical Care, Guy's and St Thomas' NHS Foundation Trust, London, SE1 7EH, UK.
Mara ChioccolaDepartment of Adult Critical Care, Guy's and St Thomas' NHS Foundation Trust, London, SE1 7EH, UK.
Francesca PuglieseDepartment of Adult Critical Care, Guy's and St Thomas' NHS Foundation Trust, London, SE1 7EH, UK.
Francesca CollinoDepartment of Anaesthesia, Intensive Care and Emergency, City of Health and Science Hospital, C.So Bramante 88, Turin, 10126, Italy.
Louise RoseDepartment of Adult Critical Care, Guy's and St Thomas' NHS Foundation Trust, London, SE1 7EH, UK.
Lorenzo GiosaDepartment of Adult Critical Care, Guy's and St Thomas' NHS Foundation Trust, London, SE1 7EH, UK.
Luigi CamporotaDepartment of Adult Critical Care, Guy's and St Thomas' NHS Foundation Trust, London, SE1 7EH, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe optimal mechanical ventilation strategy to minimise ventilator-induced lung injury (VILI) remains uncertain. Mechanical power (MP) is a key VILI determinant, but whether and how MP should be normalised to individual patient characteristics is unclear. In this study, we aimed to evaluate whether the discriminatory accuracy of MP for ICU mortality in mechanically ventilated patients improves when normalised to physiologically relevant variables that reflect individual susceptibility to VILI. We also explored whether the relationship between MP, MP

methodsIn this retrospective observational study, we extracted granular electronic healthcare record data for mechanically ventilated adults in a single centre over a seven-year period. Primary exposures were MP with five normalisations: for dead space (expressed as corrected minute ventilation, ventilatory ratio, or end-tidal to arterial CO

resultWe included 3,578 patients in our analyses. We found MP normalised to compliance (AUROC 0.71, 95% confidence interval (CI) 0.69-0.73, p = 0.007 (DeLong's test)) and MP

conclusionsMechanical power normalised to compliance and MP

Indexed as

Acute respiratory distress syndromeErgotraumaMechanical powerMechanical ventilationNormalised mechanical powerVentilator-induced lung injuryVentilatory ratio

Identifiers

PMID41023443
PMCPMC12480304

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.