【摘要】 急性肾损伤(acute kidney injury,AKI)是全球常见的危重病临床综合征,发病率及病死率仍居高不下。AKI作为一个理想的利用大数据开发应用程序的疾病模型,大数据的到来给AKI的预防及诊治带来了新的变革。本文将聚焦如何构建AKI大数据、大数据预测AKI危险因素、大数据电子预警AKI及预后追踪的方面议题,管中窥豹地介绍了AKI领域的学术进展,并为未来重症肾脏领域的进步提供一些相关的学术基础。更多还原

【Abstract】 Acute kidney injury(AKI) is strongly associated with high morbidity and mortality,which is a global common critical care clinical syndrome. AKI may be an ideal syndrome from which various dimensions and applications built within the context of big data may influence the structure of risk prediction, care processes and outcomes for patients. This article describes how to build the big data,which creates the opportunity to develop predictive approaches, optimize AKI alerts, and trace AKI events. Furthermore, we introduce the scientific progress in the field of AKI, and provide some relevant academic foundation for scientific advancement of severe kidney domain in future.更多还原