Evidence map›Paper›PMID 38173033›Full record

ArticleEuropean journal of medical research2024

Association of elastic power in mechanical ventilation with the severity of acute respiratory distress syndrome: a retrospective study.

Yongpeng Xie, Jiaxin Shi, Suxia Liu, Xiaobing Chen, Yanli Wang, Xiaomin Li, Yao Yan

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in European journal of medical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06878313 (Role of Elastic Power in Acute Respiratory Distress Syndrome), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.4field-weighted citation impact, top 8% 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.

NCT06878313 not yet recruitingnot on this mapstarted 2025, after this paper: background citation

Role of Elastic Power in Acute Respiratory Distress Syndrome

Typeobservational_patient_registrySponsorHospital El CruceRan2025 to 2026Enrolled20ConditionsARDS (Moderate or Severe), Adult Patients
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  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

7 authors at 3 institutions in 1 country.

Yongpeng Xie *Department of Emergency and Critical Care Medicine, Lianyungang Clinical College of Nanjing Medical University, Lianyungang, 222000, Jiangsu, China.
Jiaxin Shi *Department of Respiratory and Critical Care Medicine, Lianyungang Clinical College of Nanjing Medical University, Lianyungang, 222000, Jiangsu, China.
Suxia Liu *Department of Emergency and Critical Care Medicine, Lianyungang Clinical College of Nanjing Medical University, Lianyungang, 222000, Jiangsu, China.
Xiaobing Chen *Department of Emergency and Critical Care Medicine, Lianyungang Clinical College of Nanjing Medical University, Lianyungang, 222000, Jiangsu, China.
Yanli WangDepartment of Emergency and Critical Care Medicine, Lianyungang Clinical College of Nanjing Medical University, Lianyungang, 222000, Jiangsu, China.
Xiaomin LiDepartment of Emergency and Critical Care Medicine, Lianyungang Clinical College of Nanjing Medical University, Lianyungang, 222000, Jiangsu, China. lyglxm1@163.com.
Yao YanDepartment of Emergency and Critical Care Medicine, Lianyungang Clinical College of Nanjing Medical University, Lianyungang, 222000, Jiangsu, China. 15061311205@stu.njmu.edu.cn.
Lianyungang Oriental Hospital · CNNanjing Medical University · CNThe First People’s Hospital of Lianyungang · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMechanical power (MP) is the total energy released into the entire respiratory system per minute which mainly comprises three components: elastic static power, Elastic dynamic power and resistive power. However, the energy to overcome resistance to the gas flow is not the key factor in causing lung injury, but the elastic power (EP) which generates the baseline stretch of the lung fibers and overcomes respiratory system elastance may be closely related to the ARDS severity. Thus, this study aimed to investigate whether EP is superior to other ventilator variables for predicting the severity of lung injury in ARDS patients.

methodsWe retrieved patient data from the Medical Information Mart for Intensive Care III (MIMIC-III) database. The retrieved data involved adults (≥ 18 years) diagnosed with ARDS and subjected to invasive mechanical ventilation for ≥ 48 h. We employed univariate and multivariate logistic regression analyses to investigate the correlation between EP and development of moderate-severe ARDS. Furthermore, we utilized restricted cubic spline models to assess whether there is a linear association between EP and incidence of moderate-severe ARDS. In addition, we employed a stratified linear regression model and likelihood ratio test in subgroups to identify potential modifications and interactions.

resultsModerate-severe ARDS occurred in 73.4% (296/403) of the patients analyzed. EP and MP were significantly associated with moderate-severe ARDS (odds ratio [OR] 1.21, 95% confidence interval [CI] 1.15-1.28, p < 0.001; and OR 1.15, 95%CI 1.11-1.20, p < 0.001; respectively), but EP showed a higher area-under-curve (95%CI 0.72-0.82, p < 0.001) than plateau pressure, driving pressure, and static lung compliance in predicting ARDS severity. The optimal cutoff value for EP was 14.6 J/min with a sensitivity of 75% and specificity of 66%. Quartile analysis revealed that the relationship between EP and ARDS severity remained robust and reliable in subgroup analysis.

conclusionEP is a good ventilator variable associated with ARDS severity and can be used for grading ARDS severity. Close monitoring of EP is advised in patients undergoing mechanical ventilation. Additional experimental trials are needed to investigate whether adjusting ventilator variables according to EP can yield significant improvements in clinical outcomes.

Indexed as

Lung InjuryRespiratory Distress SyndromeAdultHumansLungRespiration, ArtificialRetrospective StudiesAcute respiratory distress syndromeElastic powerMechanical powerMechanical ventilationSeverity assessment

Identifiers

PMID38173033
PMCPMC10763103
OpenAlexW4390571069

What OpenQuestion holds

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LicenceCC BY
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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.