Evidence map›Paper›PMID 34625618›Full record

ArticleScientific reports2021

Clinical phenotypes from fatal cases of acute respiratory distress syndrome caused by pneumonia.

Kazuya Ichikado, Kodai Kawamura, Takeshi Johkoh, Kiminori Fujimoto, Ayumi Shintani, Satoru Hashimoto, Yoshitomo Eguchi, Yuko Yasuda, Keisuke Anan, Naoki Shingu and 10 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. 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
1.0field-weighted citation impact, top 23% 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.

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, 8 citations in OpenAlex.

  1. Trial
  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

20 authors at 6 institutions in 1 country.

Kazuya IchikadoDivision of Respiratory Medicine, Saiseikai Kumamoto Hospital, 5-3-1 Chikami, Kumamoto, 861-4101, Japan. kazuya-ichikado@saiseikaikumamoto.jp.
Kodai KawamuraDivision of Respiratory Medicine, Saiseikai Kumamoto Hospital, 5-3-1 Chikami, Kumamoto, 861-4101, Japan.
Takeshi JohkohDepartment of Radiology, Kansai Rosai Hospital, Amagasaki, Hyogo, 660-8511, Japan.
Kiminori FujimotoDepartment of Radiology, Kurume University School of Medicine and Center for Diagnostic Imaging, Kurume University Hospital, 67 Asahi-machi, Kurume, Fukuoka, 830-0011, Japan.
Ayumi ShintaniDepartment of Medical Statistics, Osaka City University Graduate School of Medicine, Osaka, Japan.
Satoru HashimotoDepartment of Anesthesiology and Intensive Care Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Yoshitomo EguchiDivision of Respiratory Medicine, Saiseikai Kumamoto Hospital, 5-3-1 Chikami, Kumamoto, 861-4101, Japan.
Yuko YasudaDivision of Respiratory Medicine, Saiseikai Kumamoto Hospital, 5-3-1 Chikami, Kumamoto, 861-4101, Japan.
Keisuke AnanDivision of Respiratory Medicine, Saiseikai Kumamoto Hospital, 5-3-1 Chikami, Kumamoto, 861-4101, Japan.
Naoki ShinguDivision of Respiratory Medicine, Saiseikai Kumamoto Hospital, 5-3-1 Chikami, Kumamoto, 861-4101, Japan.
Yoshihiko SakataDivision of Respiratory Medicine, Saiseikai Kumamoto Hospital, 5-3-1 Chikami, Kumamoto, 861-4101, Japan.
Junpei HisanagaDivision of Respiratory Medicine, Saiseikai Kumamoto Hospital, 5-3-1 Chikami, Kumamoto, 861-4101, Japan.
Tatsuya NitawakiDivision of Respiratory Medicine, Saiseikai Kumamoto Hospital, 5-3-1 Chikami, Kumamoto, 861-4101, Japan.
Miwa IioDivision of Respiratory Medicine, Saiseikai Kumamoto Hospital, 5-3-1 Chikami, Kumamoto, 861-4101, Japan.
Yuko SekidoDivision of Respiratory Medicine, Saiseikai Kumamoto Hospital, 5-3-1 Chikami, Kumamoto, 861-4101, Japan.
Kenta NishiyamaDivision of Respiratory Medicine, Saiseikai Kumamoto Hospital, 5-3-1 Chikami, Kumamoto, 861-4101, Japan.
Kazunori NakamuraDivision of Respiratory Medicine, Saiseikai Kumamoto Hospital, 5-3-1 Chikami, Kumamoto, 861-4101, Japan.
Moritaka SugaDivision of Respiratory Medicine, Saiseikai Kumamoto Hospital, 5-3-1 Chikami, Kumamoto, 861-4101, Japan.
Hidenori IchiyasuDepartment of Respiratory Medicine, Faculty of Life Sciences, Kumamoto University, Kumamoto 1-1-1 Honjo, Chuo-ku, Kumamoto, 860-8556, Japan.
Takuro SakagamiDepartment of Respiratory Medicine, Faculty of Life Sciences, Kumamoto University, Kumamoto 1-1-1 Honjo, Chuo-ku, Kumamoto, 860-8556, Japan.
Saiseikai Kumamoto Hospital · JPKumamoto University · JPKansai Rosai Hospital · JPKurume University Hospital · JPKyoto Prefectural University of Medicine · JPOsaka City University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There have been no report of objective clinical characteristics or prognostic factors that predict fatal outcome of acute respiratory distress syndrome (ARDS) since the Berlin definition was published. The aim of this study is to identify clinically available predictors that distinguish between two phenotypes of fatal ARDS due to pneumonia. In total, 104 cases of Japanese patients with pneumonia-induced ARDS were extracted from our prospectively collected database. Fatal cases were divided into early (< 7 days after diagnosis) and late (≥ 7 days) death groups, and clinical variables and prognostic factors were statistically evaluated. Of the 50 patients who died within 180 days, 18 (36%) and 32 (64%) were in the early (median 2 days, IQR [1, 5]) and late (median 16 days, IQR [13, 29]) death groups, respectively. According to multivariate regression analyses, the APACHE II score (HR 1.25, 95%CI 1.12-1.39, p < 0.001) and the disseminated intravascular coagulation score (HR 1.54, 95%CI 1.15-2.04, p = 0.003) were independent prognostic factors for early death. In contrast, late death was associated with high-resolution computed tomography (HRCT) score indicating early fibroproliferation (HR 1.28, 95%CI 1.13-1.42, p < 0.001) as well as the disseminated intravascular coagulation score (HR 1.24, 95%CI 1.01-1.52, p = 0.039). The extent of fibroproliferation on HRCT, and the APACHE II scores along with coagulation abnormalities, should be considered for use in predictive enrichment and personalized medicine for patients with ARDS due to pneumonia.

Indexed as

APACHEPhenotypeAgedAged, 80 and overFemaleFollow-Up StudiesHumansInfectionsIntensive Care UnitsMalePneumoniaPrognosisProspective StudiesRespiratory Distress SyndromeRetrospective StudiesROC Curve

Identifiers

PMID34625618
PMCPMC8501115
OpenAlexW3139199105

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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.