Your browser doesn't support javascript.
loading
Donor ventilation parameters as predictors for length of mechanical ventilation after lung transplantation: Results of a prospective multicenter study.
Benazzo, Alberto; Schwarz, Stefan; Frommlet, Florian; Sinn, Katharina; Schweiger, Thomas; Klikovits, Thomas; Hoda, Alireza Mir; Moser, Bernhard; Matilla, Jose Ramon; Renyi Vamos, Ferenc; Lang, György; Jaksch, Peter; Di Nardo, Matteo; Del Sorbo, Lorenzo; Taghavi, Shahrokh; Keshavjee, Shaf; Klepetko, Walter; Cypel, Marcelo; Hoetzenecker, Konrad.
Affiliation
  • Benazzo A; Division of Thoracic Surgery, Medical University of Vienna, Vienna, Austria.
  • Schwarz S; Division of Thoracic Surgery, Medical University of Vienna, Vienna, Austria.
  • Frommlet F; Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Vienna, Austria.
  • Sinn K; Division of Thoracic Surgery, Medical University of Vienna, Vienna, Austria.
  • Schweiger T; Division of Thoracic Surgery, Medical University of Vienna, Vienna, Austria.
  • Klikovits T; Division of Thoracic Surgery, Medical University of Vienna, Vienna, Austria.
  • Hoda AM; Division of Thoracic Surgery, Medical University of Vienna, Vienna, Austria.
  • Moser B; Division of Thoracic Surgery, Medical University of Vienna, Vienna, Austria.
  • Matilla JR; Division of Thoracic Surgery, Medical University of Vienna, Vienna, Austria.
  • Renyi Vamos F; Department of Thoracic Surgery, Semmelweis University - National Institute of Oncology, Budapest, Hungary.
  • Lang G; Division of Thoracic Surgery, Medical University of Vienna, Vienna, Austria.
  • Jaksch P; Division of Thoracic Surgery, Medical University of Vienna, Vienna, Austria.
  • Di Nardo M; Pediatric Intensive Care Unit, Children's Hospital Bambino Gesù, Rome, Italy.
  • Del Sorbo L; Interdepartmental Division of Critical Care Medicine, University Health Network, Toronto, Ontario, Canada.
  • Taghavi S; Division of Thoracic Surgery, Medical University of Vienna, Vienna, Austria.
  • Keshavjee S; Toronto Lung Transplant Program, Division of Thoracic Surgery, University Health Network, Toronto, Ontario, Canada.
  • Klepetko W; Division of Thoracic Surgery, Medical University of Vienna, Vienna, Austria.
  • Cypel M; Toronto Lung Transplant Program, Division of Thoracic Surgery, University Health Network, Toronto, Ontario, Canada.
  • Hoetzenecker K; Division of Thoracic Surgery, Medical University of Vienna, Vienna, Austria. Electronic address: konrad.hoetzenecker@meduniwien.ac.at.
J Heart Lung Transplant ; 40(1): 33-41, 2021 01.
Article in En | MEDLINE | ID: mdl-33246712
BACKGROUND: The evaluation of donor lungs heavily depends on the subjective judgment of the retrieval surgeon. As a consequence, acceptance rates vary significantly among transplant centers. We aimed to determine donor ventilation parameters in a prospective study and test if they could be used as objective quality criteria during organ retrieval. METHODS: A prospective evaluation of lung donors was performed in 3 transplant centers. Ventilation parameters were collected at the time of retrieval using a standardized ventilation protocol. Recipient length of mechanical ventilation (LMV) was defined as the primary end point, and collected data was used to build linear models predicting LMV. RESULTS: In total, 166 donors were included in this study. Median LMV after transplantation was 32 hours (interquartile range: 20-63 hours). Peak inspiratory pressure and dynamic compliance (Cdyn) at the time of retrieval, but not the partial pressure of oxygen/fraction of inspired oxygen (P/F) ratio, correlated with recipient LMV in Spearman correlations (r = 0.280, p = 0.002; r = -0.245, p = 0.003; and r = 0.064, p = 0.432, respectively). Linear models were built to further evaluate the impact of donor ventilation parameters on LMV. The first model was based on donor P/F ratio, donor age, donor intubation time, donor smoking history, donor partial pressure of carbon dioxide, aspiration, chest trauma, and pathologic chest X-ray. This model performed poorly (multiple R-squared = 0.063). In a second model, donor ventilation parameters were included, and Cdyn was identified as the strongest predictor for LMV. The third model was extended by recipient factors, which significantly improved the robustness of the model (multiple R-squared = 0.293). CONCLUSION: In this prospective evaluation of donor lung parameters, currently used donor quality criteria poorly predicted recipient LMV. Our data suggest that Cdyn is a strong donor-bound parameter to predict short-term graft performance; however, recipient factors are similarly relevant.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Respiration, Artificial / Tissue Donors / Lung Transplantation / Lung Type of study: Clinical_trials / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Female / Humans / Male / Middle aged Language: En Journal: J Heart Lung Transplant Journal subject: CARDIOLOGIA / TRANSPLANTE Year: 2021 Document type: Article Affiliation country: Austria Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Respiration, Artificial / Tissue Donors / Lung Transplantation / Lung Type of study: Clinical_trials / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Female / Humans / Male / Middle aged Language: En Journal: J Heart Lung Transplant Journal subject: CARDIOLOGIA / TRANSPLANTE Year: 2021 Document type: Article Affiliation country: Austria Country of publication: United States