Prognostic utility of LifePort parameters plus perfusate biomarkers during deceased donor kidney transplantation
10.3760/cma.j.cn421203-20200519-00159
- VernacularTitle:LifePort灌注参数联合灌注液生物标志物预测移植肾功能延迟的价值
- Author:
Yuxi QIAO
1
;
Yang LI
;
Jin ZHENG
;
Heli XIANG
;
Xiaoming DING
;
Puxun TIAN
;
Wujun XUE
;
Chenguang DING
Author Information
1. 西安交通大学第一附属医院肾脏病医院肾移植科 710061
- Keywords:
Kidney transplantation;
Hypothermic machine perfusion;
Delayed graft function
- From:
Chinese Journal of Organ Transplantation
2021;42(9):513-517
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the prognostic utility of LifePort perfusion parameters plus perfusate biomarkers for predicting delayed graft function(DGF)and recovery time during deceased donor kidney transplantation(KT).Methods:From January 1, 2019 to August 31, 2019, retrospective analysis was performed for clinical data of 113 KT recipients. Based upon whether or not DGF occurred within 3 months, they were divided into two groups of DGF group(20 cases)and non-DGF (93 cases). Two groups were compared using LifePort perfusion parameters, biomarker concentrations, incidence of DGF and kidney recovery time. Statistical analysis was performed.Results:The incidence of DGF was 17.7%(20/113); Multivariate Logistic regression results indicated that terminal resistance(OR 1.879, 95% CI 1.145~3.56)and glutathione S-transferase(GST)(OR 1.62, 95% CI 1.23~2.46)were independent risk factors for DGF; Cox hazard model revealed that terminal resistance was a risk factor for recovery time of renal function(HR=0.823, 95% CI 0.735~0.981). The model combining terminal resistance and GST(AUC=0.888, 95% CI 0.842~0.933)significantly improved the predictive efficacy for DGF as compared with using terminal resistance(AUC=0.756, 95% CI 0.693~0.818)or GST alone(AUC=0.729, 95% CI 0.591~0.806).Conclusions:Combining LifePort perfusion parameters and fluid biomarkers can improve the predictive utility of DGF.
