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[Logistic regression analysis of risk factors for primary graft dysfunction after lung transplantation].

Authors: J W, Li; L, Xu; Z J, Han; L, Wei;

[Logistic regression analysis of risk factors for primary graft dysfunction after lung transplantation].

Abstract

Objective: To explore the risk factors of primary graft dysfunction (PGD) after lung transplantation and provide a new therapeutic strategy for PGD. Methods: A retrospective analysis of lung transplant patients from January 2014 to July 2017 in Henan Provincial People's Hospital.According to the PGD classification standard established by the International Society for Heart and Lung Transplantation, the association of potential risk factors with PGD was analyzed by using multivariable Logistic regression. Results: Fourteen of 30 patients (46.7%) developed grade 3 PGD.There was no significantly statistical difference in gender, etiology, duration of anesthesia, amount of blood transfusion, amount of blood transfusion and donor gender(all P>0.05). Body mass index (BMI), donor pulmonary cold ischemia time, duration of operation, extracorporeal membrane lung oxygenator (ECMO), systolic pulmonary arterial pressure and donor smoking history were all higher than those of non-PGD patients (all P<0.05). Independent risk factors for PGD were donor pulmonary cold ischemia time (OR 1.032, 95%CI 1.000-1.065, P=0.048); systolic pulmonary arterial pressure (OR 1.258, 95%CI 0.969-1.632, P=0.007); donor smoking (OR 8.879, 95%CI 1.096-71.913, P=0.041). Conclusion: Donor pulmonary ischemic time, systolic pulmonary arterial pressure and donor smoking history are PGD risk factors, which provide new ideas for PGD treatment.

Related Organizations
Keywords

Logistic Models, Risk Factors, Humans, Primary Graft Dysfunction, Risk Assessment, Lung Transplantation, Retrospective Studies

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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