Accuracy of oxidative stress markers for predicting delayed graft function lasting longer than a week in deceased-donor kidney transplantation

氧化应激标志物预测已故供体肾移植术后延迟性移植物功能恢复(持续时间超过一周)的准确性

阅读:1

Abstract

OBJECTIVE: To assess the accuracy of oxidative stress markers in predicting delayed graft function (DGF) lasting more than one week after deceased-donor kidney transplantation (KTx). METHODS: A translational pilot study was carried out and a five-step hierarchical diagnostic accuracy strategy was applied to evaluate the predictive value of oxidative stress markers for DGF >7 days in adult patients with end-stage kidney disease undergoing deceased-donor KTx. Statistics comprise multiple conventional methods, C-statistics, and diagnostic test performance measures. RESULTS: Cohort analysis of 27 consecutive patients revealed that 33.3% (9/27) developed DGF >7 days. Assessment of the oxidative stress markers selected in the first statistical step comparing donors and controls revealed a significant correlation of the DGF duration with the recipient's protein oxidation (ρ=0.466; p=0.022) as well as donor's hydrogen peroxide (ρ=-0.489; p<0.014). The areas under the curve were 0.683 (95% confidence interval [95%CI], 0.458-0.859; p=0.224) and 0.746 (95%CI=0.534-0.897; p=0.019), respectively. A cutoff of ≤14 μM H2O2 had the highest level of discriminating power for predicting DGF >7 days. The sensitivity, specificity, positive predictive value, negative predictive value, and overall diagnostic accuracy to identify patients at risk for experiencing DGF >7 days was 85.7%, 61.1%, 46.1%, 91.7%, and 68%, respectively. CONCLUSION: Donor hydrogen peroxide was identified as a potential predictor of DGF >7 days in patients who underwent deceased-donor KTx. A cut-off value of ≤14 μmol/L is suggested to stratify patients at high risk of requiring dialysis beyond the first post-transplant week.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。