Evidence map›Paper›PMID 31062050›Full record

ArticleIntensive care medicine2019

Mechanical power normalized to predicted body weight as a predictor of mortality in patients with acute respiratory distress syndrome.

Zhongheng Zhang, Bin Zheng, Nan Liu, Huiqing Ge, Yucai Hong

2 registry-linked trialsAbstract read
PubMed Publisher
In one paragraph

Article in Intensive care medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 79 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed, 2 pooled it
–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.

NCT05761626 completednot on this map

Mechanical Power Normalized to Compliance in Patients With Acute Respiratory Distress Syndrome

TypeobservationalSponsorRamos Mejía HospitalRan2016 to 2023Enrolled39ConditionsAcute Respiratory Distress SyndromeArmsMP/Crs assessment < = 0.48 J/min/ml/cmH2O
NCT07171632 not yet recruitingnot on this mapstarted 2025, after this paper: background citation

Assessment of Mechanical Power Components on the Functional Lung in Patients With Acute Respiratory Distress Syndrome (ARDS)

TypeobservationalSponsorRamos Mejía HospitalRan2025 to 2027Enrolled184ConditionsRespiratory Distress Syndrome (RDS)Armsmonitoring of clinical and ventilatory variables
3 · Its place in the literature

Who cites it

79 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  13. The role of mechanical power in lung ventilation for the prevention of ventilator-induced lung injury: a narrative review.European respiratory review : an official journal of the European Respiratory Society · 2026
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  20. Brain Protective Ventilation Strategies in Severe Acute Brain Injury.Current neurology and neuroscience reports · 2025
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19 more citing papers are in PubMed but not listed here.

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

5 authors.

Zhongheng ZhangDepartment of Emergency Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, No 3, East Qingchun Road, Hangzhou, 310016, Zhejiang, China. zh_zhang1984@zju.edu.cn.ORCID 0000-0002-2336-5323
Bin ZhengDepartment of Surgery, 2D, Walter C Mackenzie Health Sciences Centre, University of Alberta, Edmonton, AB, Canada.
Nan LiuDuke-NUS Medical School, National University of Singapore, Singapore, Singapore.
Huiqing GeDepartment of Respiratory Care, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yucai HongDepartment of Emergency Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, No 3, East Qingchun Road, Hangzhou, 310016, Zhejiang, China.

Funding

Scientific research project of Zhejiang Education Commission Y201737841Zhejiang Province Public Welfare Technology Application Research Project (CN) LGF18H150005
6 · The paper itself

Abstract

purposeProtective mechanical ventilation based on multiple ventilator parameters such as tidal volume, plateau pressure, and driving pressure has been widely used in acute respiratory distress syndrome (ARDS). More recently, mechanical power (MP) was found to be associated with mortality. The study aimed to investigate whether MP normalized to predicted body weight (norMP) was superior to other ventilator variables and to prove that the discrimination power cannot be further improved with a sophisticated machine learning method.

methodsThe study included individual patient data from eight randomized controlled trials conducted by the ARDSNet. The data was split 3:1 into training and testing subsamples. The discrimination of each ventilator variable was calculated in the testing subsample using the area under receiver operating characteristic curve. The gradient boosting machine was used to examine whether the discrimination could be further improved.

resultsA total of 5159 patients with acute onset ARDS were included for analysis. The discrimination of norMP in predicting mortality was significantly better than the absolute MP (p = 0.011 for DeLong's test). The gradient boosting machine was not able to improve the discrimination as compared to norMP (p = 0.913 for DeLong's test). The multivariable regression model showed a significant interaction between norMP and ARDS severity (p < 0.05). While the norMP was not significantly associated with mortality outcome (OR 0.99; 95% CI 0.91-1.07; p = 0.862) in patients with mild ARDS, it was associated with increased risk of mortality in moderate (OR 1.11; 95% CI 1.02-1.23; p = 0.021) and severe (OR 1.13; 95% CI 1.03-1.24; p < 0.008) ARDS.

conclusionsThe study showed that norMP was a good ventilator variable associated with mortality, and its predictive discrimination cannot be further improved with a sophisticated machine learning method. Further experimental trials are needed to investigate whether adjusting ventilator variables according to norMP will significantly improve clinical outcomes.

Indexed as

Body Mass IndexMechanical PhenomenaAdultArea Under CurveFemaleHumansLogistic ModelsMaleMiddle AgedMortalityMultivariate AnalysisRespiration, ArtificialRespiratory Distress SyndromeROC CurveAcute respiratory distress syndromeGradient boosting machineMechanical powerMortality

Identifiers

What OpenQuestion holds

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Registered trials

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.