Evidence map›Paper›PMID 38091325›Full record

Observational studyPloS one2023

A combination of oxygenation and driving pressure can provide valuable information in predicting the risk of mortality in ARDS patients.

Yu-Yi Yu, Wei-Fan Ou, Jia-Jun Wu, Han-Shui Hsu, Chieh-Laing Wu, Kuang-Yao Yang, Ming-Cheng Chan

Abstract readObservational Study
In one paragraph

Observational study in PloS one, 2023. 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

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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

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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. Brain Protective Ventilation Strategies in Severe Acute Brain Injury.Current neurology and neuroscience reports · 2025
    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

7 authors.

Yu-Yi YuInstitute of Emergency and Critical Care Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Wei-Fan OuDivision of Chest Medicine, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.
Jia-Jun WuDivision of Chest Medicine, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.ORCID 0000-0001-5116-6201
Han-Shui HsuInstitute of Emergency and Critical Care Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Chieh-Laing WuDepartment of Critical Care Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.
Kuang-Yao YangInstitute of Emergency and Critical Care Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Ming-Cheng ChanDepartment of Critical Care Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.ORCID 0000-0002-4407-8841

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute respiratory distress syndrome (ARDS) is a common life-threatening condition in critically ill patients. Itis also an important public health issue because it can cause substantial mortality and health care burden worldwide. The objective of this study was to investigate therisk factors that impact ARDS mortality in a medical center in Taiwan.

methodsThis was a single center, observational study thatretrospectively analyzed data from adults in 6 intensive care units (ICUs) at Taichung Veterans General Hospital in Taiwan from 1st October, 2018to30th September, 2019. Patients needing invasive mechanical ventilation and meeting the Berlin definition criteria were included for analysis.

resultsA total of 1,778 subjects were screened in 6 adult ICUs and 370 patients fulfilled the criteria of ARDS in the first 24 hours of the ICU admission. Among these patients, the prevalenceof ARDS was 20.8% and the overall hospital mortality rate was 42.2%. The mortality rates of mild, moderate and severe ARDS were 35.9%, 43.9% and 46.5%, respectively. In a multivariate logistic regression model, combination of driving pressure (DP) > 14cmH2O and oxygenation (P/F ratio)≤150 was an independent predictor of mortality (OR2.497, 95% CI 1.201-5.191, p = 0.014). Patients with worse oxygenation and a higher driving pressure had the highest hospital mortality rate(p<0.0001).

conclusionsARDS is common in ICUs and the mortality rate remains high. Combining oxygenation and respiratory mechanics may better predict the outcomes of these ARDS patients.

Indexed as

LungRespiratory Distress SyndromeAdultHumansIntensive Care UnitsRespiration, ArtificialRisk Factors

Identifiers

PMID38091325
PMCPMC10718417

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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.