Suppr超能文献

供体生物标志物作为神经死亡供体器官移植后器官使用和受体存活的预测指标。

Donor biomarkers as predictors of organ use and recipient survival after neurologically deceased donor organ transplantation.

机构信息

Center for Critical Care Nephrology, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States; Department of Anesthesiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China.

Center for Critical Care Nephrology, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States; Department of Biostatistics, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, United States.

出版信息

J Crit Care. 2018 Dec;48:42-47. doi: 10.1016/j.jcrc.2018.08.013. Epub 2018 Aug 18.

Abstract

PURPOSE

We sought to build prediction models for organ transplantation and recipient survival using both biomarkers and clinical information.

MATERIALS AND METHODS

We abstracted clinical variables from a previous randomized trial (n = 556) of donor management. In a subset of donors (n = 97), we measured two candidate biomarkers in plasma at enrollment and just prior to explantation.

RESULTS

Secretory leukocyte protease inhibitor (SLPI) was significant for predicting liver transplantation (C-statistic 0.65 (0.53, 0.78)). SLPI also significantly improved the predictive performance of a clinical model for liver transplantation (integrated discrimination improvement (IDI): 0.090 (0.009, 0.210)). For other organs, clinical variables alone had strong predictive ability (C-statistic >0.80). Recipient 3-years survival was 80.0% (71.9%, 87.0%). Donor IL-6 was significantly associated with recipient 3-years survival (adjusted Hazard Ratio (95%CI): 1.26(1.08, 1.48), P = .004). Neither clinical variables nor biomarkers showed strong predictive ability for 3-year recipient survival.

CONCLUSIONS

Plasma biomarkers in neurologically deceased donors were associated with organ use. SLPI enhanced prediction within a liver transplantation model, whereas IL-6 before transplantation was significantly associated with recipient 3-year survival. Clinicaltrials.gov: NCT00987714.

摘要

目的

我们试图利用生物标志物和临床信息构建用于器官移植和受者生存的预测模型。

材料和方法

我们从一项先前的供者管理随机试验(n=556)中提取了临床变量。在供者亚组(n=97)中,我们在入组时和即将进行器官切取前测量了血浆中的两个候选生物标志物。

结果

分泌白细胞蛋白酶抑制剂(SLPI)对预测肝移植具有显著意义(C 统计量为 0.65(0.53,0.78))。SLPI 还显著提高了肝移植临床模型的预测性能(综合判别改善(IDI):0.090(0.009,0.210))。对于其他器官,仅临床变量就具有很强的预测能力(C 统计量>0.80)。受者 3 年生存率为 80.0%(71.9%,87.0%)。供者白细胞介素-6(IL-6)与受者 3 年生存率显著相关(校正后的风险比(95%CI):1.26(1.08,1.48),P=0.004)。无论是临床变量还是生物标志物,对于 3 年受者生存率均无较强的预测能力。

结论

脑死亡供者的血浆生物标志物与器官使用相关。SLPI 增强了肝移植模型的预测能力,而移植前的 IL-6 与受者 3 年生存率显著相关。临床试验.gov:NCT00987714。

相似文献

引用本文的文献

本文引用的文献

5
Impact of donor age on cardiac transplantation outcomes and on cardiac function.供体年龄对心脏移植结局及心脏功能的影响。
Interact Cardiovasc Thorac Surg. 2016 Oct;23(4):580-3. doi: 10.1093/icvts/ivw172. Epub 2016 May 31.
9
Interleukin-6: Biology, signaling and strategies of blockade.白细胞介素 6:生物学、信号传递及阻断策略。
Cytokine Growth Factor Rev. 2015 Oct;26(5):475-87. doi: 10.1016/j.cytogfr.2015.07.004. Epub 2015 Jul 4.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验