Evidence map›Paper›PMID 31415662›Full record

Observational studyPloS one2019

Clinical epidemiology and mortality on patients with acute respiratory distress syndrome (ARDS) in Vietnam.

Luong Quoc Chinh, Toshie Manabe, Do Ngoc Son, Nguyen Van Chi, Yuji Fujikura, Nguyen Gia Binh, Dao Xuan Co, Dang Quoc Tuan, Mai Duy Ton, Khuong Quoc Dai and 4 more

Abstract readObservational Study
In one paragraph

Observational study in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 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.

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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Predictive Value of the PaOInternal medicine (Tokyo, Japan) · 2025
    Pooled it
  2. Article
  3. Observational
  4. Observational
  5. Severe acute respiratory distress syndrome in a woman infected with Ascaris lumbricoides.Journal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures) · 2025
    Article
  6. Observational
  7. Observational
  8. Article
  9. Article
  10. Observational
  11. ARDS Clinical Practice Guideline 2021.Journal of intensive care · 2022
    Article
  12. Article
  13. Observational
  14. Observational
  15. Observational
  16. Observational
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

14 authors.

Luong Quoc ChinhBach Mai Hospital, Emergency Department, Hanoi, Vietnam.ORCID 0000-0002-6409-577X
Toshie ManabeJichi Medical University, Center of Community Medicine, Tochigi, Japan.ORCID 0000-0002-8208-8071
Do Ngoc SonBach Mai Hospital, Emergency Department, Hanoi, Vietnam.ORCID 0000-0001-6957-377X
Nguyen Van ChiBach Mai Hospital, Emergency Department, Hanoi, Vietnam.
Yuji FujikuraNational Defense Medical College, Department of Internal Medicine, Saitama, Japan.
Nguyen Gia BinhBach Mai Hospital, Intensive Care Unit, Hanoi, Vietnam.
Dao Xuan CoBach Mai Hospital, Intensive Care Unit, Hanoi, Vietnam.
Dang Quoc TuanBach Mai Hospital, Intensive Care Unit, Hanoi, Vietnam.
Mai Duy TonBach Mai Hospital, Emergency Department, Hanoi, Vietnam.
Khuong Quoc DaiBach Mai Hospital, Emergency Department, Hanoi, Vietnam.
Pham The ThachBach Mai Hospital, Intensive Care Unit, Hanoi, Vietnam.
Hiroyuki NagaseTeikyo University School of Medicine, Department of Respiratory Medicine, Tokyo, Japan.
Koichiro KudoYurin Hospital, Tokyo, Japan.
Dat Anh NguyenBach Mai Hospital, Emergency Department, Hanoi, Vietnam.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe clinical epidemiology and disease prognosis in patients with acute respiratory distress syndrome (ARDS) have not yet been fully elucidated in Vietnam.

methodsWe conducted a retrospective observational study at a national tertiary hospital in Hanoi, Vietnam. Participants were adult patients (age ≥18 years) who were admitted and diagnosed with ARDS during 2015-2017. Data on patients' general and clinical conditions, radiographic findings, ventilator settings, gas exchange, and treatment methods were collected and compared between survivors and non-survivors. Risk factors for mortality were assessed using logistic regression analysis.

resultsAmong 126 eligible patients with ARDS admitted to the central tertiary hospital in Vietnam, we observed high mortality (57.1%). Of the total patients, 91.3% were transferred from local hospitals with a diagnosis of severe pneumonia and then diagnosed with ARDS at the central hospital. At the time of admission, 53.2% of patients had severe ARDS, 37.3% had moderate ARDS, and 9.5% had mild ARDS. The mean (standard deviation) sequential organ failure assessment (SOFA) score was 9.5 (3.4) in non-survivors and 7.4 (3.4) in survivors (p = 0.002). Although there was no significant difference in PaO2/FiO2 on admission between non-survivors and survivors, that on day 3 after admission was significantly different (p = 0.002). Logistic regression revealed that PaO2/FiO2 on day 3 [odds ratio (OR), 1.010; 95% confidence interval (CI), 1.003-1.017], length of stay in a local hospital before admission to the central hospital (OR, 1.122; 95% CI, 1.042-1.210) due to stable condition, and SOFA score on Day 1 (OR, 0.842; 95% CI, 0.708-1.002) were independent factors in patient survival.

conclusionsPatients with ARDS admitted the central tertiary hospital had severe illness and high mortality. Most patients were transferred from local hospitals. Improvements in human, medical, and sociological resources in local will contribute to reducing the mortality of ARDS in Vietnam.

Indexed as

Respiratory Distress SyndromeAdolescentAdultDisease-Free SurvivalFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsSurvival RateVietnam

Identifiers

PMID31415662
PMCPMC6695190

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Registered trials

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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.