Evidence map›Paper›PMID 40011857›Full record

Observational studyBMC pulmonary medicine2025

Relationship between lung consolidation size measured by ultrasound and outcome in ICU patients with respiratory failure.

Na Wang, Yi Chi, Qianling Wang, Yun Long, Dawei Liu, Zhanqi Zhao, Huaiwu He

Registry-linked trialAbstract readObservational Study
In one paragraph

Observational study in BMC pulmonary medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05647967 (Evaluation of Regional Perfusion of Lung Consolidation Upon Lung Ultrasonography), which is not on this 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.

NCT05647967 unknown statusnot on this map

Evaluation of Regional Perfusion of Lung Consolidation Upon Lung Ultrasonography

TypeobservationalSponsorPeking Union Medical College HospitalRan2022 to 2024Enrolled200ConditionsLung Injury, Acute, Ultrasound Therapy, ComplicationsArmsUltrasound
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

7 authors.

Na WangDepartment of Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, NO.1 shuaifuyuan, Dongcheng District, Beijing, China.
Yi ChiDepartment of Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, NO.1 shuaifuyuan, Dongcheng District, Beijing, China.
Qianling WangDepartment of Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, NO.1 shuaifuyuan, Dongcheng District, Beijing, China.
Yun LongDepartment of Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, NO.1 shuaifuyuan, Dongcheng District, Beijing, China.
Dawei LiuDepartment of Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, NO.1 shuaifuyuan, Dongcheng District, Beijing, China.
Zhanqi ZhaoDepartment of Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, NO.1 shuaifuyuan, Dongcheng District, Beijing, China.
Huaiwu HeDepartment of Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, NO.1 shuaifuyuan, Dongcheng District, Beijing, China. tjmuhhw@126.com.

Funding

the CAMS Innovation Fund for Medical Sciences (CIFMS) from Chinese Academy of Medical Sciences 2021-I2M-1-062 Beijing Municipal Science and Technology Commission No. Z201100005520051
6 · The paper itself

Abstract

backgroundLung ultrasound has been extensively used to assess the etiology of respiratory failure. Additionally, lung ultrasound-based scoring systems have been proposed to semi-quantify the loss of lung aeration in the ICU. The one most frequently used distinguishes four steps of progressive loss of aeration (scores from 0 to 3) and 3 scores mean tissue-like pattern. However, the burden of consolidation is not considered as tissue-like pattern is defined as 3 scores independently of its dimension. In this study, we present an ultrasound method for quantitative measurement of consolidation size and investigate the relationship between consolidation size and outcome in ICU patients with respiratory failure.

methodsA total of 124 patients in ICU were prospectively enrolled and 13 patients were excluded due to failure to obtain LUS measurements. Among the remaining 111 patients, 17 patients were non-intubated, and 94 patients under sedation and analgesia were intubated. All patients underwent lung ultrasound examination for the measurement of lung consolidation size between 24 and 48 h after ICU admission. Lung consolidation size was assessed by consolidation area index (CA), which was determined by tracing the maximum cross-sectional area of the region of consolidation. The Cox-regression model was constructed for 28- and 90-day mortality.

resultsConsolidation size was successfully evaluated in all patients. The CA was 24.2cm

conclusionsThe proposed CA parameter, determined by lung ultrasound, was readily accessible at the bedside. It is noteworthy that a larger CA was correlated with impaired oxygenation and increased mortality rates among ICU patients. Further investigation is required to establish the merits of incorporating CA into lung ultrasound assessments in the ICU.

trial registrationClinicalTrial.gov, Identifier NCT05647967, Date: Dec 13, 2022, retrospectively registered.

Indexed as

LungRespiratory InsufficiencyAgedFemaleHospital MortalityHumansIntensive Care UnitsMaleMiddle AgedProportional Hazards ModelsProspective StudiesUltrasonographyConsolidation areaLung ultrasoundMortality

Identifiers

PMID40011857
PMCPMC11863961

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Registered trials

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.