Evidence map›Paper›PMID 38903881›Full record

ArticlePeerJ2024

Incidence, mortality, and predictive factors associated with acute respiratory distress syndrome in multiple trauma patients living in high-altitude areas: a retrospective study in Shigatse.

Dan Tu, Lv Ji, Qiang Cao, Tin Ley, Suolangpian Duo, Ningbo Cheng, Wenjing Lin, Jianlei Zhang, Weifeng Yu, Zhiying Pan and 1 more

Abstract read
In one paragraph

Article in PeerJ, 2024. 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. Article
  2. 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

11 authors.

Dan Tu *Department of Intensive Care Unit, Shigatse People's Hospital, Shigatse, Xizang, China.
Lv Ji *Department of Intensive Care Unit, Shigatse People's Hospital, Shigatse, Xizang, China.
Qiang CaoDepartment of Anesthesiology, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, Shanghai, China.
Tin LeyDepartment of Anesthesiology, Shigatse People's Hospital, Shigatse, Xizang, China.
Suolangpian DuoDepartment of Emergency, Shigatse People's Hospital, Shigatse, Xizang, China.
Ningbo ChengDepartment of Anesthesiology, Shigatse People's Hospital, Shigatse, Xizang, China.
Wenjing LinDepartment of Anesthesiology, Shigatse People's Hospital, Shigatse, Xizang, China.
Jianlei ZhangDepartment of Anesthesiology, Shigatse People's Hospital, Shigatse, Xizang, China.
Weifeng YuDepartment of Anesthesiology, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, Shanghai, China.
Zhiying PanDepartment of Anesthesiology, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, Shanghai, China.
Xiaoqiang WangDepartment of Anesthesiology, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, Shanghai, China.

Funding

Postdoctoral Fellowship Program of CPSFShanghai 2021 “Science and Technology Innovation Action Plan” domestic science and technology cooperation projectShanghai Engineering Research Center of Peri-Operative Organ Support and Function Preservation
6 · The paper itself

Abstract

Background: Acute respiratory distress syndrome (ARDS) is a severe complication that can lead to fatalities in multiple trauma patients. Nevertheless, the incidence rate and early prediction of ARDS among multiple trauma patients residing in high-altitude areas remain unknown. Methods: This study included a total of 168 multiple trauma patients who received treatment at Shigatse People's Hospital Intensive Care Unit (ICU) between January 1, 2019 and December 31, 2021. The clinical characteristics of the patients and the incidence rate of ARDS were assessed. Univariable and multivariable logistic regression models were employed to identify potential risk factors for ARDS, and the predictive effects of these risk factors were analyzed. Results: In the high-altitude area, the incidence of ARDS among multiple trauma patients was 37.5% (63/168), with a hospital mortality rate of 16.1% (27/168). Injury Severity Score (ISS) and thoracic injuries were identified as significant predictors for ARDS using the logistic regression model, with an area under the curve (AUC) of 0.75 and 0.75, respectively. Furthermore, a novel predictive risk score combining ISS and thoracic injuries demonstrated improved predictive ability, achieving an AUC of 0.82. Conclusions: This study presents the incidence of ARDS in multiple trauma patients residing in the Tibetan region, and identifies two critical predictive factors along with a risk score for early prediction of ARDS. These findings have the potential to enhance clinicians' ability to accurately assess the risk of ARDS and proactively prevent its onset.

Indexed as

AltitudeMultiple TraumaRespiratory Distress SyndromeAdultChinaFemaleHospital MortalityHumansIncidenceInjury Severity ScoreIntensive Care UnitsMaleMiddle AgedRetrospective StudiesRisk FactorsThoracic InjuriesAcute respiratory distress syndromeHigh-altitude areasLogistic regressionMultiple traumaReceiver operator characteristic

Identifiers

PMID38903881
PMCPMC11188934

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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.