ArticleBMC pulmonary medicine2023
Establishment of a risk prediction model for prolonged mechanical ventilation after lung transplantation: a retrospective cohort study.
Article in BMC pulmonary medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Postoperative pulmonary rehabilitation care for a case of acute perfluorocarbon poisoning undergoing lung transplantation: a case report.AME case reports · 2026Article
- Donor-size-normalized tidal volume and early peak airway pressure-derived pressure burden after lung transplantation: an exploratory single-center cohort study.Frontiers in medicine · 2026Article
- Prolonged Invasive Mechanical Ventilation is Associated With Decreased Survival After Lung Transplantation Among Recipients With Primary Graft Dysfunction: A Lung Transplant Outcomes Group Study.Clinical transplantation · 2026Article
- A novel nomogram for predicting prolonged mechanical ventilation in lung transplantation patients using extracorporeal membrane oxygenation.Scientific reports · 2024Article
- High-Flow Tracheal Oxygen for Tracheostomy Tube Removal in Lung Transplant Recipients.Journal of clinical medicine · 2023Article
- Pancreas Rejection in the Artificial Intelligence Era: New Tool for Signal Patients at Risk.Journal of personalized medicine · 2023Article
Corrections and comments
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Authors and funding
12 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundProlonged mechanical ventilation (PMV), mostly defined as mechanical ventilation > 72 h after lung transplantation with or without tracheostomy, is associated with increased mortality. Nevertheless, the predictive factors of PMV after lung transplant remain unclear. The present study aimed to develop a novel scoring system to identify PMV after lung transplantation.
methodsA total of 141 patients who underwent lung transplantation were investigated in this study. The patients were divided into PMV and non-prolonged ventilation (NPMV) groups. Univariate and multivariate logistic regression analyses were performed to assess factors associated with PMV. A risk nomogram was then established based on the multivariate analysis, and model performance was further examined regarding its calibration, discrimination, and clinical usefulness.
resultsEight factors were finally identified to be significantly associated with PMV by the multivariate analysis and therefore were included as risk factors in the nomogram as follows: the body mass index (BMI, P = 0.036); primary diagnosis as idiopathic pulmonary fibrosis (IPF, P = 0.038); pulmonary hypertension (PAH, P = 0.034); primary graft dysfunction grading (PGD, P = 0.011) at T
conclusionA novel nomogram to predict individual risk of receiving PMV for patients after lung transplantation was established, which may guide preventative measures for tackling this adverse event.
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