Evidence map›Paper›PMID 42243858›Full record

Observational studyCritical care (London, England)2026

Integrated comprehensive assessment for predicting weaning success in difficult-to-wean critically ill patients: the WEAN-US study.

Alberto Fogagnolo, Martin Dres, Francesco Murgolo, Salvatore Grasso, Bianca Brazzoli, Gianluca Pasa, Mohd Rashid Khan, Danila Azzolina, Valentina Alvisi, Gaetano Scaramuzzo and 2 more

Registry-linked trialAbstract readObservational Study
In one paragraph

Observational study in Critical care (London, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05539599 (Can Heart-lung-respiratory Muscles Ultrasound Evaluation Play a Role to Predict Weaning in Critically Ill Patients?), 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.

NCT05539599 completednot on this map

Can Heart-lung-respiratory Muscles Ultrasound Evaluation Play a Role to Predict Weaning in Critically Ill Patients?

TypeobservationalSponsorUniversità degli Studi di FerraraRan2022 to 2024Enrolled89ConditionsMechanical Ventilation Weaning, Weaning FailureArmsComprehensive evaluation
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Observational
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

12 authors.

Alberto Fogagnolo *Department of Emergency, Azienda Ospedaliera-Universitaria Di Ferrara, Ferrara, Italy.
Martin Dres *Service de Médecine Intensive - Réanimation (Département "R3S"), AP-HP, Sorbonne Université, Hôpital Pitié-Salpêtrière, Paris, France.
Francesco MurgoloDepartment of Precision-Regenerative Medicine and Jonic Area (DiMePRe-J), University of Bari "Aldo Moro", Bari, Italy.
Salvatore GrassoDepartment of Precision-Regenerative Medicine and Jonic Area (DiMePRe-J), University of Bari "Aldo Moro", Bari, Italy.
Bianca BrazzoliDepartment of Translational Medicine, University of Ferrara, 8, Aldo Moro, 44123, Ferrara, Italy.
Gianluca PasaDepartment of Translational Medicine, University of Ferrara, 8, Aldo Moro, 44123, Ferrara, Italy.
Mohd Rashid KhanDepartment of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, Padua, Italy.
Danila AzzolinaDepartment of Translational Medical Science, Biostatistics and Clinical Trial Methodology Unit, Clinical Research Center DEMeTra, University of Naples Federico II, Naples, Italy.
Valentina AlvisiDepartment of Emergency, Azienda Ospedaliera-Universitaria Di Ferrara, Ferrara, Italy.
Gaetano ScaramuzzoDepartment of Emergency, Azienda Ospedaliera-Universitaria Di Ferrara, Ferrara, Italy.ORCID http://orcid.org/0000-0001-9739-4082
Carlo Alberto VoltaDepartment of Emergency, Azienda Ospedaliera-Universitaria Di Ferrara, Ferrara, Italy.
Savino SpadaroDepartment of Emergency, Azienda Ospedaliera-Universitaria Di Ferrara, Ferrara, Italy. spdsvn@unife.it.ORCID http://orcid.org/0000-0001-5027-5318

Funding

Next Generation EU - PNRR M6C2- Investment 2.1 PNRR-MCNT2-2023-12377245
6 · The paper itself

Abstract

backgroundLiberation from mechanical ventilation (MV) remains challenging, particularly in difficult-to-wean patients. Weaning failure (i.e. inability to wean or post-extubation failure) and spontaneous breathing trial (SBT) failure are often grouped together despite distinct underlying mechanisms. Moreover, most studies have focused on a single physiological predictor of weaning success, although ventilator liberation is a complex, multiorgan process. We hypothesized that a multimodal, ultrasound-based assessment performed during SBT in difficult-to-wean patients would improve prediction of weaning outcomes compared with individual physiological parameters.

methodsIn this single-center prospective observational study, adult difficult-to-wean patients (≥ 48 h of mechanical ventilation and failure of the first separation attempt) underwent a standardized SBT. A comprehensive assessment of diaphragmatic function, lung aeration, cardiac function, and peripheral muscle strength was performed. In addition, dyspnea assessment and clinical variables were recorded before and at the end of the SBT. An integrated predictive model was developed using clinical selection and Least Absolute Shrinkage and Selection Operator (LASSO) regression, and it was compared with individual predictors. The primary outcome was to predict weaning failure (inability to wean or post-extubation failure). SBT failure was evaluated as a secondary outcome and defined as the inability to successfully complete the SBT due to clinical signs of intolerance.

resultsWeaning failure occurred in 27% of patients. Compared with successfully weaned patients, those with weaning failure had lower diaphragmatic contractile reserve (maximal diaphragm thickening fraction), reduced handgrip strength, higher prevalence of ICU-acquired weakness, greater dyspnea after SBT, and more pronounced loss of lung aeration during SBT. Cardiac parameters, including higher ratio between early mitral inflow velocity and mitral annular early diastolic velocity (E/e') and ejection fraction, were associated with SBT failure, whereas neuromuscular impairment was more strongly associated with post-extubation failure. An integrated model demonstrated good predictive performance (AUROC 0.88; 95% CI 0.78-0.95), outperforming individual predictors in predicting weaning failure.

conclusionsIn difficult-to-wean patients, SBT failure and weaning failure are driven by several interacting physiological mechanisms. A multimodal, ultrasound-based approach integrating cardiac, pulmonary, diaphragmatic, and neuromuscular domains improves prediction of weaning outcomes and may enable more individualized ventilator liberation strategies.

trial registrationThis study was prospectively registered in clinicaltrial.gov (NCT05539599; First Posted 2022-09-14).

Indexed as

Ventilator WeaningAgedCritical IllnessFemaleHumansMaleMiddle AgedProspective StudiesRespiration, ArtificialUltrasonographyArtificialDiaphragmIntensive care unit-acquired weaknessPredictive value of testsRespirationUltrasonographyVentilator weaning

Identifiers

PMID42243858
PMCPMC13267723

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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.