肾移植长期受者的风险预测--利用凋亡标记物和机器学习工具开发模型

medRxiv - Transplantation Pub Date : 2024-05-30 DOI:10.1101/2024.05.29.24308114

Krzysztof Batko, Anna Sączek, Małgorzata Banaszkiewicz, Jolanta Małyszko, Ewa Koc-Żórawska, Marcin Żórawski, Karolina Niezabitowska, Katarzyna Siek, Alina Bętkowska-Prokop, Marcin Krzanowski, Katarzyna Krzanowska

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摘要

导言用于预测长期肾移植受者（KTR）肾功能的工具有限。Elabela和apelin是APJ受体激动剂，它们构成了apelinergic轴，这是最近发现的一种调节血管和心脏组织的系统，与肾素-血管紧张素-醛固酮相反。

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Risk Prediction In Long Term Kidney Transplant Recipients – Model Development Using Apelinergic Markers And Machine Learning Tools

Introduction Limited tools exist for predicting kidney function in long-term kidney transplant recipients (KTRs). Elabela and apelin are APJ receptor agonists that constitute the apelinergic axis, which is a recently discovered system regulating vascular and cardiac tissue, in opposition to renin-angiotensin-aldosterone.

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medRxiv - Transplantation

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