Evidence map›Paper›PMID 39438932›Full record

ArticleEuropean journal of medical research2024

Combined lung and diaphragm ultrasound predicts extubation outcomes in ARDS: a prospective study.

Yanfang Liu, Yinchao Zhou, Panpan Liu, Weinan Ying, Huishan Wu, Zhouzhou Dong

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Article in European journal of medical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
–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

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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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

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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

6 authors.

Yanfang Liu *Department of Electrophysiology, Ningbo Medical Center LiHuiLi Hospital, Ningbo, 315048, Zhejiang, China.
Yinchao Zhou *Department of Critical Care Medicine, Ningbo Medical Center LiHuiLi Hospital, Ningbo, 315048, Zhejiang, China.
Panpan LiuDepartment of Critical Care Medicine, Ningbo Medical Center LiHuiLi Hospital, Ningbo, 315048, Zhejiang, China.
Weinan YingHealth Science Center, Ningbo University, Ningbo, 315211, Zhejiang, China.
Huishan WuHealth Science Center, Ningbo University, Ningbo, 315211, Zhejiang, China.
Zhouzhou DongDepartment of Critical Care Medicine, Ningbo Medical Center LiHuiLi Hospital, Ningbo, 315048, Zhejiang, China. lhldongzhouzhou@nbu.edu.cn.

Funding

Medical Health Science and Technology Project of Zhejiang Provincial Health Commission 2019KY612Zhejiang Provincial Natural Science Foundation of China under Grant No. TGY24H150006
6 · The paper itself

Abstract

backgroundExtubation failure is a crucial issue for acute respiratory distress syndrome (ARDS). Ultrasound of the lung and diaphragm is individually valuable for predicting extubation outcomes. We aimed to determine whether combined lung and diaphragmatic ultrasound could improve the accuracy of predicting the extubation of ARDS patients.

methodsThis was a prospective cohort study of ARDS patients who were ready for extubation. The lung ultrasound score (LUS), diaphragmatic displacement (DD), diaphragm thickening fraction (DTF), and diaphragmatic-rapid shallow breathing index (D-RSBI) were measured at the end of the spontaneous breathing trial. The primary outcome was extubation success. Logistic regression was used to combine these indicators, and the predictive performance of the single and combined indicators was evaluated through receiver operating characteristic (ROC) curves, the Hosmer-Lemeshow Ĉ-test, and the Brier score. Multivariate logistic regression was used to determine the association between combined ultrasound indicators and extubation success.

resultsThis study enrolled 132 eligible patients from January 2019 to December 2022. A total of 71% (94/132) of patients were successfully extubated from mechanical ventilation. The combination of LUS and D-RSBI had the largest area under the ROC curves, the lowest Brier score, and the greatest calibration. After formula transformation, LUS + 2.43 × D-RSBI ≤ 14.273 was significantly associated with extubation success in ARDS patients.

conclusionsIn ARDS patients receiving mechanical ventilation, the combination of LUS and D-RSBI was more accurate than a single parameter alone in predicting extubation outcomes. This combined approach could help refine extubation protocols in critical care. Clinical trial registration This study is registered online with the Chinese Clinical Trial Registry (ChiCTR), http://www.chictr.org.cn , ChiCTR1800019340 (Registration time: 2018/11/06).

Indexed as

Airway ExtubationDiaphragmLungRespiratory Distress SyndromeUltrasonographyAdultAgedFemaleHumansMaleMiddle AgedProspective StudiesRespiration, ArtificialROC CurveVentilator WeaningAcute respiratory distress syndromeCombination modelDiaphragm ultrasoundExtubationLung ultrasound

Identifiers

PMID39438932
PMCPMC11495000

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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.