Observational studyTherapeutic advances in respiratory disease
Factors associated with prolonged weaning from mechanical ventilation in medical patients.
Observational study in Therapeutic advances in respiratory disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05134467 (Prospective, Single-center, Observational Study on the Assessment of Process and Outcome of Protocol-based Weaning From Mechanical Ventilation in the Medical Patients), which is not on this map. Cited by 7 papers.
What it found
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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.
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.
Prospective, Single-center, Observational Study on the Assessment of Process and Outcome of Protocol-based Weaning From Mechanical Ventilation in the Medical Patients
Who cites it
7 citing papers in PubMed, 17 citations in OpenAlex.
- Article
- Safety and Outcomes of Percutaneous Dilatational Tracheostomy in Patients with Hematologic Malignancies: A Retrospective Cohort Study.Journal of clinical medicine · 2025Article
- Article
- An artificial intelligence application to predict prolonged dependence on mechanical ventilation among patients with critical orthopaedic trauma: an establishment and validation study.BMC musculoskeletal disorders · 2024Article
- Prolonged weaning from mechanical ventilation: who, what, when and how?Breathe (Sheffield, England) · 2024Review
- Outcomes of different pulmonary rehabilitation protocols in patients under mechanical ventilation with difficult weaning: a retrospective cohort study.Respiratory research · 2024Article
- Predicting Successful Weaning from Mechanical Ventilation by Reduction in Positive End-expiratory Pressure Level Using Machine Learning.PLOS digital health · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPatients who need prolonged mechanical ventilation (MV) have high resource utilization and relatively poor outcomes. The pathophysiologic mechanisms leading to weaning failure in this group may be complex and multifactorial. The aim of this study was to investigate the factors associated with prolonged weaning based on the Weaning Outcome according to a New Definition (WIND) classification.
methodsThis is a prospective observational study with consecutive adult patients receiving MV for at least two calendar days in medical intensive care units from 1 November 2017 to 30 September 2020. Eligible patients were divided in a non-prolonged weaning group, including short and difficult weaning, and in a prolonged weaning group according to the WIND classification. The risk factors at the time of first separation attempt associated with prolonged weaning were analyzed using a multivariable logistic regression model.
resultsOf the total 915 eligible patients, 172 (18.8%) patients were classified as prolonged weaning. A higher proportion of the prolonged weaning group had previous histories of endotracheal intubation, chronic lung disease, and hematologic malignancies. When compared with the non-prolonged weaning group, the median duration of MV before the first spontaneous breathing trial (SBT) was longer and the proportion of tracheostomized patients was higher in prolonged weaning group. In addition, the prolonged weaning group used higher peak inspiratory pressures and yielded lower PaO
conclusionLonger duration of MV before the first SBT, tracheostomy status, poor oxygenation, and need for renal replacement therapy at the time of first SBT can predict prolonged weaning.
trial registrationClinicalTrials.gov Identifier NCT05134467.
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