Evidence map›Paper›PMID 41566513›Full record

ArticleRespiratory research2026

EIT-based ventilation phenotypes of left-to-right asymmetry and ventral-to-dorsal center in PEEP titration in ARDS.

Xiaotong Sun, Yi Chi, Siyi Yuan, Zhanqi Zhao, Jing Jiang, Yutong Zhao, Yelin Gao, Jin Yang, Yunxing Cao, Mengru Xu and 4 more

Abstract readMulticenter Study
In one paragraph

Article in Respiratory research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

14 authors.

Xiaotong Sun *State Key Laboratory of Complex Severe and Rare Diseases, Department of Critical Care Medicine, Peking Union Medical College, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Yi Chi *State Key Laboratory of Complex Severe and Rare Diseases, Department of Critical Care Medicine, Peking Union Medical College, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Siyi Yuan *State Key Laboratory of Complex Severe and Rare Diseases, Department of Critical Care Medicine, Peking Union Medical College, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Zhanqi ZhaoState Key Laboratory of Complex Severe and Rare Diseases, Department of Critical Care Medicine, Peking Union Medical College, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Jing JiangDepartment of Critical Care Medicine, Chongqing General Hospital, Chongqing University, Chongqing, China.
Yutong ZhaoState Key Laboratory of Complex Severe and Rare Diseases, Department of Critical Care Medicine, Peking Union Medical College, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Yelin GaoState Key Laboratory of Complex Severe and Rare Diseases, Department of Critical Care Medicine, Peking Union Medical College, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Jin YangDepartment of Critical Care Medicine, Chongqing General Hospital, Chongqing University, Chongqing, China.
Yunxing CaoDepartment of Critical Care Medicine, Chongqing General Hospital, Chongqing University, Chongqing, China.
Mengru XuState Key Laboratory of Complex Severe and Rare Diseases, Department of Critical Care Medicine, Peking Union Medical College, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Qianlin WangState Key Laboratory of Complex Severe and Rare Diseases, Department of Critical Care Medicine, Peking Union Medical College, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Jingbing HanState Key Laboratory of Complex Severe and Rare Diseases, Department of Critical Care Medicine, Peking Union Medical College, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Yun LongState Key Laboratory of Complex Severe and Rare Diseases, Department of Critical Care Medicine, Peking Union Medical College, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Huaiwu HeState Key Laboratory of Complex Severe and Rare Diseases, Department of Critical Care Medicine, Peking Union Medical College, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China. tjmuhhw@126.com.

Funding

Chongqing medical scientific research project 2025MSXM162Peking Union Medical College Hospital Talent Cultivation Program Category C UBJ10125the National Key Research and Development Program 2022YFC2404805
6 · The paper itself

Abstract

backgroundVentilation distribution assessed by electrical impedance tomography (EIT) has great interests in acute respiratory distress syndrome (ARDS). The aim of the study was to explore ARDS phenotypes based on left-right and ventral-dorsal ventilation distribution and to investigate their clinical characteristics and outcomes.

methodThis retrospective study included ARDS patients from two ICUs who underwent mechanical ventilation and EIT monitoring. Asymmetry index (AI) was defined as the right-to-left ventilation difference in percentage. Based on the AI at low PEEP (0-3 cmH₂O), patients were classified as asymmetric (|AI| > 20%) or symmetric (|AI| ≤ 20%) phenotype. Asymmetric phenotype was divided into right (R, AI > 20%) and left (L, AI < -20%) subphenotypes. Based on the median center of ventilation (CoV) of the study population at low PEEP, symmetric phenotype was further divided into ventral (V, CoV < 42.2%) and non-ventral (NV, CoV ≥ 42.2%) subphenotypes.

resultA total of 217 patients with ARDS during positive end-expiratory pressure (PEEP) titration was analyzed. At low PEEP, 95 patients were defined as asymmetric phenotype and 122 were symmetric (|AI| 36.0% [28.0, 48.0] vs. 8.0% [4.0, 16.5]; p < 0.001). Among asymmetric phenotype, 69 were R subphenotype and 26 were L. R Subphenotype had higher BMI than L (p = 0.037). Among symmetric phenotype, 61 were V subphenotype and 61 were NV. V subphenotype had higher BMI (p = 0.027), more extrapulmonary ARDS (p = 0.010), and better lung recruitability (p = 0.021) than NV. From low to high PEEP (15-18 cmH₂O), 47 patients remained asymmetric phenotype, 48 transitioned from asymmetric to symmetric, 97 remained symmetric, 25 transitioned from symmetric to asymmetric. Patients who remained asymmetric phenotype had fewer 28-day ventilator-free days than those who transitioned to symmetric (p = 0.009).

conclusionBased on AI and CoV, EIT enabled rapid phenotyping of ARDS. In symmetric ARDS, V subphenotype had higher BMI, extrapulmonary ARDS incidence, and lung recruitability. In asymmetric ARDS, improvment of symmetry during PEEP titration was related to better outcome. The asymmetry of lung ventilation might be a potential lung injury target in ARDS.

Indexed as

LungPhenotypePositive-Pressure RespirationPulmonary VentilationRespiratory Distress SyndromeTomographyAgedElectric ImpedanceFemaleHumansMaleMiddle AgedRetrospective StudiesAcute respiratory distress syndromeAsymmetry indexElectrical impedance tomographyLung recruitabilityPositive end-expiratory pressureVentilation phenotype

Identifiers

PMID41566513
PMCPMC12905866

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