期刊文献+

急性肾损伤的生物标志物

Biomarkers of acute kidney injury
原文传递
导出
摘要 急性肾损伤(AKI)是由不同病因引起的一种综合征,具有高发病率和高病死率,造成全球疾病负担,并使其成为全球研究的焦点和热点。AKI患者临床表现的个体化差异较大,“精准医疗”面临巨大挑战,但AKI风险评估、早期识别、早期诊断、早期干预及准确评估可能对改善AKI患者的预后有益。文章就生物标志物在AKI高危人群的筛查、早期预警、基于生物标志物的AKI诊断与早期防治新体系及肾功能恢复评估等研究现状进行综述,并对生物标志物联合人工智能等未来可能的研究方向进行展望,期许推动生物标志物导向的AKI诊疗的精准化实施。 Acute kidney injury(AKI)is a multifaceted syndrome caused by a variety of underlying diseases.Its high incidence and mortality rates render it a significant global health concern,which promotes a surge in research efforts worldwide focusing on AKI diagnosis and treatment.It is substantial challenges for precise management of AKI,which is characterized by great difference in clinical manifestations.However,precise risk assessment and early diagnosis and treatment of AKI can potentially improve the prognosis of AKI patients.This article reviews the use of biomarkers in screening high AKI risk patients,facilitating early diagnosis and therapy,and assessing kidney recovery in current research.We also advocate for incorporating machine learning techniques in biomarker-based AKI research to promote precise implementation of biomarker-based AKI diagnosis and therapy.
作者 杨向红 孙仁华 YANG Xiang-hong;SUN Ren-hua(Emergency and Critical Care Center,Intensive Care Unit,Zhejiang Provincial People's Hospital(Affiliated People's Hospital),Hangzhou Medical College,Hangzhou 310014,China)
出处 《中国实用内科杂志》 CAS CSCD 北大核心 2023年第12期972-977,共6页 Chinese Journal of Practical Internal Medicine
基金 浙江省科技厅重点研发计划项目(2019C03024) 浙江省医药卫生重大科技计划项目(省部共建重点项目WKJ-ZJ-1811)。
关键词 急性肾损伤 生物标志物 风险评估 诊断 肾脏恢复 人工智能 acute kidney injury biomarkers risk assessment diagnosis kidney recovery artificial intelligence
  • 相关文献

参考文献1

二级参考文献15

共引文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部