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DOI 10.1016/j.healun.2020.10.008

Медицинская библиотека · The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation · 2020

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

СтатьяМногоцентровое исследованиеПеревод пока не подготовлен

Аннотация

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.

Для цитирования: 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. Donor ventilation parameters as predictors for length of mechanical ventilation after lung transplantation: Results of a prospective multicenter study.. The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation. 2020. DOI: 10.1016/j.healun.2020.10.008.

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