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2019年6月20日陈津 副教授:Identifying Acute Kidney Injury Trajectory Phenotypes Associated with Hospital Mortality

发布日期: 2019-06-20   浏览次数 13

报告题目:Identifying Acute Kidney Injury Trajectory Phenotypes Associated with Hospital Mortality

报告人: 陈津 副教授  肯塔基大学医学院

主持人: 王晓玲 教授

报告时间:2019年6月20日  周四14:30-15:30

报告地点:中北校区数学馆201


报告摘要:

Acute kidney injury (AKI) is a complex systemic syndrome associated with high morbidity and mortality and risk for the subsequent development of kidney and non-kidney complications. Nearly 50% of patients in the intensive care unit (ICU) experience AKI. AKI severity is a key metric for evaluating patients risk of hospital mortality. Current AKI serum creatinine (SCr) stratification is based on absolute changes in Serum Creatinine (SCr) and the maximal increase relative to the patients baseline value. However, such characterization does not include either the progression or duration of AKI, both of which are associated with adverse outcomes. By leveraging a large volume of SCr temporal variabilities within the first 7 days of ICU stay, we propose a novel model called Trajectory of Acute Kidney Injury (TAKI) for the identification of AKI trajectory subtypes. Experimental results demonstrate that TAKI is a feasible method of AKI subtyping and superior to the current AKI KDIGO definition for the association with hospital mortality in this subset of critically ill patients.


报告人简介:

陈津,肯塔基大学医学院副教授。2007年于新加坡国立大学获计算机科学博士学位,2009至今在密西根州立大学和肯塔基大学先后担任助理教授和副教授,近年来的主要研究方向包括生物信息学和医学信息学,发表论文70余篇。研究基金来自DOE,NSF以及NIH。