Evidence map›Paper›PMID 34461969›Full record

ArticleCritical care (London, England)2021

Identification of distinct clinical phenotypes of acute respiratory distress syndrome with differential responses to treatment.

Xiaowei Liu, Yusheng Jiang, Xiaonan Jia, Xiaohui Ma, Ci Han, Nana Guo, Yahui Peng, Haitao Liu, Yingnan Ju, Xiangfeng Luo and 10 more

Open access · goldAbstract read
In one paragraph

Article in Critical care (London, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
4.0field-weighted citation impact, top 5% 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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 44 citations in OpenAlex.

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  11. Beyond the PaOAnnals of intensive care · 2026
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  17. Hypercapnia outcome in COVID-19 acute respiratory distress syndrome patients on mechanical ventilator: A retrospective observational cohort.Journal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures) · 2025
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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 1 institution in 1 country.

Xiaowei Liu *Department of Critical Care Medicine, First Affiliated Hospital of Harbin Medical University, 23 Postal Street, Nangang District, Harbin, 150001, Heilongjiang, China.
Yusheng Jiang *LinkDoc AI Lab, LinkDoc Technology, Floor 11, Sinosteel Plaza, 8 Haidian Street, Haidian District, Beijing, 100080, China.
Xiaonan JiaDepartment of Critical Care Medicine, First Affiliated Hospital of Harbin Medical University, 23 Postal Street, Nangang District, Harbin, 150001, Heilongjiang, China.
Xiaohui MaDepartment of Critical Care Medicine, First Affiliated Hospital of Harbin Medical University, 23 Postal Street, Nangang District, Harbin, 150001, Heilongjiang, China.
Ci HanDepartment of Critical Care Medicine, First Affiliated Hospital of Harbin Medical University, 23 Postal Street, Nangang District, Harbin, 150001, Heilongjiang, China.
Nana GuoDepartment of Critical Care Medicine, Harbin Medical University Cancer Hospital, 150 Haping Road, Nangang District, Harbin, 150081, Heilongjiang, China.
Yahui PengDepartment of Critical Care Medicine, First Affiliated Hospital of Harbin Medical University, 23 Postal Street, Nangang District, Harbin, 150001, Heilongjiang, China.
Haitao LiuDepartment of Critical Care Medicine, Harbin Medical University Cancer Hospital, 150 Haping Road, Nangang District, Harbin, 150081, Heilongjiang, China.
Yingnan JuDepartment of Critical Care Medicine, Harbin Medical University Cancer Hospital, 150 Haping Road, Nangang District, Harbin, 150081, Heilongjiang, China.
Xiangfeng LuoLinkDoc AI Lab, LinkDoc Technology, Floor 11, Sinosteel Plaza, 8 Haidian Street, Haidian District, Beijing, 100080, China.
Xueting LiDepartment of Critical Care Medicine, Harbin Medical University Cancer Hospital, 150 Haping Road, Nangang District, Harbin, 150081, Heilongjiang, China.
Yue BuDepartment of Critical Care Medicine, First Affiliated Hospital of Harbin Medical University, 23 Postal Street, Nangang District, Harbin, 150001, Heilongjiang, China.
Jin ZhangDepartment of Critical Care Medicine, First Affiliated Hospital of Harbin Medical University, 23 Postal Street, Nangang District, Harbin, 150001, Heilongjiang, China.
Yansong LiuDepartment of Critical Care Medicine, First Affiliated Hospital of Harbin Medical University, 23 Postal Street, Nangang District, Harbin, 150001, Heilongjiang, China.
Yan GaoDepartment of Critical Care Medicine, Forth Affiliated Hospital of Harbin Medical University, 37 Yiyuan Street, Nangang District, Harbin, 150001, Heilongjiang, China.
Mingyan ZhaoDepartment of Critical Care Medicine, First Affiliated Hospital of Harbin Medical University, 23 Postal Street, Nangang District, Harbin, 150001, Heilongjiang, China.
Hongliang WangDepartment of Critical Care Medicine, Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang District, Harbin, 150001, Heilongjiang, China.
Ligang LuoLinkDoc AI Lab, LinkDoc Technology, Floor 11, Sinosteel Plaza, 8 Haidian Street, Haidian District, Beijing, 100080, China.
Kaijiang YuDepartment of Critical Care Medicine, First Affiliated Hospital of Harbin Medical University, 23 Postal Street, Nangang District, Harbin, 150001, Heilongjiang, China. drkaijiang@163.com.
Changsong WangDepartment of Critical Care Medicine, Harbin Medical University Cancer Hospital, 150 Haping Road, Nangang District, Harbin, 150081, Heilongjiang, China. changsongwangicu@163.com.ORCID 0000-0002-0079-5259
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute respiratory distress syndrome (ARDS) is a heterogeneous syndrome, and the identification of homogeneous subgroups and phenotypes is the first step toward precision critical care. We aimed to explore whether ARDS phenotypes can be identified using clinical data, are reproducible and are associated with clinical outcomes and treatment response.

methodsThis study is based on a retrospective analysis of data from the telehealth intensive care unit (eICU) collaborative research database and three ARDS randomized controlled trials (RCTs) (ALVEOLI, FACTT and SAILS trials). We derived phenotypes in the eICU by cluster analysis based on clinical data and compared the clinical characteristics and outcomes of each phenotype. The reproducibility of the derived phenotypes was tested using the data from three RCTs, and treatment effects were evaluated.

resultsThree clinical phenotypes were identified in the training cohort of 3875 ARDS patients. Of the three phenotypes identified, phenotype I (n = 1565; 40%) was associated with fewer laboratory abnormalities, less organ dysfunction and the lowest in-hospital mortality rate (8%). Phenotype II (n = 1232; 32%) was correlated with more inflammation and shock and had a higher mortality rate (18%). Phenotype III (n = 1078; 28%) was strongly correlated with renal dysfunction and acidosis and had the highest mortality rate (22%). These results were validated using the data from the validation cohort (n = 3670) and three RCTs (n = 2289) and had reproducibility. Patients with these ARDS phenotypes had different treatment responses to randomized interventions. Specifically, in the ALVEOLI cohort, the effects of ventilation strategy (high PEEP vs low PEEP) on ventilator-free days differed by phenotype (p = 0.001); in the FACTT cohort, there was a significant interaction between phenotype and fluid-management strategy for 60-day mortality (p = 0.01). The fluid-conservative strategy was associated with improved mortality in phenotype II but had the opposite effect in phenotype III.

conclusionThree clinical phenotypes of ARDS were identified and had different clinical characteristics and outcomes. The analysis shows evidence of a phenotype-specific treatment benefit in the ALVEOLI and FACTT trials. These findings may improve the identification of distinct subsets of ARDS patients for exploration in future RCTs.

Indexed as

PhenotypeAgedAged, 80 and overFemaleFluid TherapyHumansIntensive Care UnitsMaleMiddle AgedPositive-Pressure RespirationReproducibility of ResultsRespiratory Distress SyndromeTelemedicineAcute respiratory distress syndromeClinical characteristics and outcomesCluster analysisPhenotypeTreatment strategy

Identifiers

PMID34461969
PMCPMC8404019
OpenAlexW3197361873

What OpenQuestion holds

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LicenceCC BY
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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.