Mechanical power density predicts prolonged ventilation following double lung transplantation

  • Prolonged mechanical ventilation (PMV) after lung transplantation poses several risks, including higher tracheostomy rates and increased in-hospital mortality. Mechanical power (MP) of artificial ventilation unifies the ventilatory variables that determine gas exchange and may be related to allograft function following transplant, affecting ventilator weaning. We retrospectively analyzed consecutive double lung transplant recipients at a national transplant center, ventilated through endotracheal tubes upon ICU admission, excluding those receiving extracorporeal support. MP and derived indexes assessed up to 36 h after transplant were correlated with invasive ventilation duration using Spearman’s coefficient, and we conducted receiver operating characteristic (ROC) curve analysis to evaluate the accuracy in predicting PMV (>72 h), expressed as area under the ROC curve (AUROC). PMV occurred in 82 (35%) out of 237 cases. MP was significantly correlated with invasive ventilation durationProlonged mechanical ventilation (PMV) after lung transplantation poses several risks, including higher tracheostomy rates and increased in-hospital mortality. Mechanical power (MP) of artificial ventilation unifies the ventilatory variables that determine gas exchange and may be related to allograft function following transplant, affecting ventilator weaning. We retrospectively analyzed consecutive double lung transplant recipients at a national transplant center, ventilated through endotracheal tubes upon ICU admission, excluding those receiving extracorporeal support. MP and derived indexes assessed up to 36 h after transplant were correlated with invasive ventilation duration using Spearman’s coefficient, and we conducted receiver operating characteristic (ROC) curve analysis to evaluate the accuracy in predicting PMV (>72 h), expressed as area under the ROC curve (AUROC). PMV occurred in 82 (35%) out of 237 cases. MP was significantly correlated with invasive ventilation duration (Spearman’s ρ = 0.252 [95% CI 0.129–0.369], p < 0.01), with power density (MP normalized to lung-thorax compliance) demonstrating the strongest correlation (ρ = 0.452 [0.345–0.548], p < 0.01) and enhancing PMV prediction (AUROC 0.78 [95% CI 0.72–0.83], p < 0.01) compared to MP (AUROC 0.66 [0.60–0.72], p < 0.01). Mechanical power density may help identify patients at risk for PMV after double lung transplantation.show moreshow less

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Metadaten
Author:Alessandro Ghiani, Nikolaus Kneidinger, Claus Neurohr, Sandra Frank, Ludwig Christian Hinske, Christian Schneider, Sebastian Michel, Michael Irlbeck
URN:urn:nbn:de:bvb:384-opus4-1115446
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/111544
ISSN:1432-2277OPAC
Parent Title (English):Transplant International
Publisher:Frontiers Media SA
Type:Article
Language:English
Year of first Publication:2023
Publishing Institution:Universität Augsburg
Release Date:2024/02/23
Tag:Transplantation
Volume:36
First Page:11506
DOI:https://doi.org/10.3389/ti.2023.11506
Institutes:Medizinische Fakultät
Medizinische Fakultät / Universitätsklinikum
Medizinische Fakultät / Lehrstuhl für Datenmanagement und Clinical Decision Support
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Licence (German):CC-BY 4.0: Creative Commons: Namensnennung (mit Print on Demand)