Evidence map›Paper›PMID 34243739›Full record

ArticleBMC pulmonary medicine2021

Application of bedside ultrasound in predicting the outcome of weaning from mechanical ventilation in elderly patients.

Shigang Li, Zhe Chen, Weifeng Yan

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC pulmonary medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05431036 (Evaluation of a Combined Model of Lung Aeration Score and Diaphragmatic Indices by Transthoracic Ultrasonography in Predicting Weaning Success in Critically Ill Patients.), which is not on this map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 pooled it
6.2field-weighted citation impact, top 3% 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.

NCT05431036 unknown statusnot on this mapstarted 2022, after this paper: background citation

Evaluation of a Combined Model of Lung Aeration Score and Diaphragmatic Indices by Transthoracic Ultrasonography in Predicting Weaning Success in Critically Ill Patients.

TypeobservationalSponsorAssiut UniversityRan2022 to 2024Enrolled100ConditionsWeaning FailureArmstransthoracic ultrasonography
3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 2 syntheses or guidelines pooled it, 47 citations in OpenAlex.

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  17. Lung ultrasound score and diaphragm ultrasound in weaning from mechanical ventilation: are they different in patients with and without COVID-19?Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia · 2024
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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

3 authors at 1 institution in 1 country.

Shigang LiDepartment of Respiratory and Critical Care Medicine, Beijing Haidian Hospital, No. 29, Zhongguancun St, Haidian District, Beijing, 100080, China. lsg98106@126.com.
Zhe ChenDepartment of Respiratory and Critical Care Medicine, Beijing Haidian Hospital, No. 29, Zhongguancun St, Haidian District, Beijing, 100080, China.
Weifeng YanDepartment of Respiratory and Critical Care Medicine, Beijing Haidian Hospital, No. 29, Zhongguancun St, Haidian District, Beijing, 100080, China.
Beijing Haidian Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the increased ageing of society, more and more elderly people are admitted to the intensive care unit, How to accurately predict whether elderly patients can successfully wean from the ventilator is more complicated. Diaphragmatic excursion (DE) and diaphragm thickening fraction (DTF) were measured by bedside ultrasound to assess diaphragm function. The lung ultrasound score (LUS) and the rapid shallow breathing index (RBSI) were used as indices of diaphragm function to predict the outcome of weaning from mechanical ventilation. The aim of this study was to examine the clinical utility of these parameters in predicting extubation success.

methodsThis prospective study included 101 consecutive elderly patients undergoing a trial of extubation in the ICU of Haidian Hospital between June 2017 and July 2020. Patients were divided into the successful weaning group (n = 69) and the failed weaning group (n = 32). Baseline characteristics, including RSBI, were recorded. Measurements of DE, DTF and LUS were made using ultrasound within 24 h before extubation.

resultsMedian DE was greater in patients with extubation success than in those with extubation failure (1.64 cm vs. 0.78 cm, p = 0.001). Patients with extubation success had a greater DTF than those with extubation failure (49.48% vs. 27.85%, p = 0.001). The areas under the receiver operating curves for the RSBI, LUS, DE and DFT were 0.680, 0.764, 0.831 and 0.881, respectively. The best cut-off values for predicting successful weaning were DTF ≥ 30%, DE ≥ 1.3 cm, LUS ≤ 11, and RSBI ≤ 102. The specificity of DTF (84%) in predicting weaning outcome was higher than that of RBSI (53%), that of LUS (55%), and that of DE (62%). The sensitivity of DTF (94%) was greater than that of RBSI (85%), that of LUS (71%), and that of DE (65%). The combination of RSBI, LUS, DE, and DTF showed the highest AUC (AUC = 0.919), with a sensitivity of 96% and a specificity of 89%.

conclusionsDTF has higher sensitivity and specificity for the prediction of successful weaning in elderly patients than the other parameters examined. The combination of RSBI, LUS, DE and DFT performed well in predicting weaning outcome. This has potentially important clinical application and merits further evaluation.

Indexed as

UltrasonographyVentilator WeaningAgedAged, 80 and overDiaphragmFemaleHumansIntensive Care UnitsLogistic ModelsMaleMultivariate AnalysisPoint-of-Care SystemsPredictive Value of TestsPrognosisProspective StudiesROC CurveDiaphragm excursionDiaphragm thickening fractionMechanical ventilationUltrasonographyWeaning

Identifiers

PMID34243739
PMCPMC8267769
OpenAlexW3179944329

What OpenQuestion holds

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LicenceCC BY
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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.