Evidence map›Paper›PMID 41130607›Full record

ArticleBMJ open respiratory research2025

Mechanical power is an early predictor of mortality in mechanically ventilated patients with COVID-19.

Uday Rallabhandi, Clark Walker, Ann Davis, J W Hollingsworth

Abstract readMulticenter Study
In one paragraph

Article in BMJ open respiratory research, 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. Observational
  2. Review
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.

Uday RallabhandiTexas Christian University Anne Burnett Marion School of Medicine, Fort Worth, Texas, USA u.rallabhandi@tcu.edu.ORCID http://orcid.org/0009-0009-6524-2995
Clark WalkerTexas Health Resources, Fort Worth, Texas, USA.
Ann DavisTexas Health Resources, Fort Worth, Texas, USA.
J W HollingsworthTexas Christian University Anne Burnett Marion School of Medicine, Fort Worth, Texas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe inherent unpredictability of COVID-19 has compelled clinicians to seek early predictors of in-hospital mortality. This study explored the association between mechanical power and in-hospital mortality in mechanically ventilated COVID-19 patients and provides an evidence-based foundation for mortality prediction. STUDY DESIGN AND

methodsA multi-centre, retrospective analysis of 600 mechanically ventilated COVID-19 patients aged 18-98 years at 16 Texas Health Resources hospitals between 2020 and 2023 was conducted. Peak inspiratory pressure, static compliance, plateau pressure, driving pressure and mechanical power were analysed for association with in-hospital mortality. Mechanical power was further categorised to provide clinicians with a straightforward approach for mortality prediction.

resultsThe overall in-hospital mortality was 57% (53% to 60%). All five parameters were strongly associated with mortality after adjusting for confounders. In the first 24-hours of mechanical ventilation, 72 patients with mechanical power below 10 J/min had a mortality of 31% (20% to 42%), 159 patients with mechanical power between 10 J/min and 15 J/min had a mortality of 47% (39% to 55%), and 369 patients with mechanical power greater than 15 J/min had a mortality of 66% (61% to 71%). Patients still intubated on day 7 had a 2.1% increase in mortality for each J/min increase in mechanical power.

conclusionMechanical power in the first 24 hours of mechanical ventilation in COVID-19 patients is associated with in-hospital mortality and is useful for clinical prognostication.

Indexed as

COVID-19Hospital MortalityRespiration, ArtificialAdolescentAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesSARS-CoV-2TexasYoung AdultCOVID-19Critical Care

Identifiers

PMID41130607
PMCPMC12551554

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.