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J Thorac Cardiovasc Surg ; 154(6): 2126-2133.e2, 2017 12.
Article in English | MEDLINE | ID: mdl-28712587

ABSTRACT

BACKGROUND: We sought to clarify the effect of donor age as a continuous variable on morbidity and mortality in a single-institution experience. METHODS: From 1986 to 2016, 882 adult lung transplants were performed, including 396 in the lung allocation score era. Kaplan-Meier curves and Cox proportional hazards models were used to evaluate the association of donor age with overall survival and bronchiolitis obliterans syndrome (BOS) score ≥1-free survival. Logistic regression was used to evaluate the association with primary graft dysfunction grade 3. Natural cubic splines were used to explore donor age in a continuous fashion to allow for nonlinear relationships. RESULTS: In the lung allocation score era, unadjusted 5-year survival was not significantly different between 3 a priori-defined donor age groups: age <40, 40 to 54, and age ≥55 years (64%, 61%, and 69%, P = .8). Unadjusted 5-year freedom from BOS ≥1 was not significantly different (34%, 20%, and 33%, respectively, P = .1). After we adjusted for comorbidities, cubic spline analysis demonstrated no effect between donor age as a continuous variable and hazard for mortality at 5 years. Similarly, no interaction was seen between donor age and risk of BOS or primary graft dysfunction 3. Adjusted analysis of all 882 transplants pre- and postinception of the lung allocation score also showed no effect of age on 10-year survival. CONCLUSIONS: Long-term survival of lung transplant recipients was not affected by the age of the donor. These findings support the notion that donor age could be relaxed.


Subject(s)
Donor Selection , Lung Transplantation/methods , Tissue Donors/supply & distribution , Adult , Age Factors , Aged , Bronchiolitis Obliterans/etiology , Clinical Decision-Making , Female , Humans , Lung Transplantation/adverse effects , Lung Transplantation/mortality , Male , Middle Aged , Minnesota , Progression-Free Survival , Retrospective Studies , Risk Assessment , Risk Factors , Time Factors
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