离体
肺
肺移植
医学
体内
病理
内科学
生物
遗传学
作者
Haruchika Yamamoto,Gavin W. Wilson,A. Sundby,S. Zhu,Jonathan Allen,B.T. Chao,Akhi Akhter,Shaf Keshavjee,Andrew T. Sage,Jonathan Yeung
标识
DOI:10.1016/j.healun.2025.02.1693
摘要
Cell-free DNA (cfDNA) in ex vivo lung perfusion (EVLP) perfusate has been shown to potentially reflect lung injury; however, the relationship between cfDNA concentration with clinical EVLP lung outcomes has not been elucidated. A discovery cohort of n=100 clinical EVLP cases and a validation cohort (n=50) were used in this single-center, retrospective cohort study. cfDNA was extracted and quantified from perfusate samples. The concentration of cfDNA at 1h and the change in cfDNA concentration per hour of EVLP in the transplanted and declined groups were compared by univariable and multivariable logistic regression. cfDNA was introduced as an additional factor in a machine learning algorithm to predict lung utilization and post-operative outcome and the performance evaluated. Significantly higher cfDNA concentrations were observed in the declined group than in the transplanted group (1h: p < 0.001; delta/h: p = 0.031). Multivariable analysis among the 1h factors showed that [cfDNA 1h] (OR 4.27, p = 0.010) was an independent prognostic factor. Increases in [cfDNA 1h], [cfDNA delta/h], and both showed that both initial [cfDNA] and increases in [cfDNA] over time were independently correlated with the probability of a lung being declined. The validation analysis also confirmed higher [cfDNA 1h] in the declined group than in the transplanted group (p = 0.010). Addition of [cfDNA] features improved the performance of a machine learning algorithm used to predict donor lung utilization. The cfDNA concentration in EVLP perfusate correlates with the rate of decline of lungs for transplant from EVLP.
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