中国医科大学学报2025，Vol.54Issue(7)：643-647,5.DOI:10.12007/j.issn.0258-4646.2025.07.012
慢性肾脏病预测模型的研究进展
Advances in prediction models for chronic kidney disease
摘要
Abstract
Chronic kidney disease(CKD)is a major global health threat owing to its progressive nature and limited means of early diagnosis,with a significant majority of patients diagnosed in the mid-to-late stages of the disease and high mortality rates.With recent advancements in technology,the importance of disease prediction models in the management of CKD has increased.Disease incidence risk prediction models can identify high-risk groups at an early stage and provide support for timely intervention and management.These disease prognosis models can accurately assess the risk of future adverse events and optimize management strategies for patients.The aim of this review is to discuss the progress of disease prediction models in assessing the occurrence and prognosis of CKD and explore their potential for improving the early diagnosis of the disease,optimizing treatment,and improving patient prognosis.These advancements would assist in effectively preventing and treating CKD as well as improving treatment efficacy and quality of life of patients.关键词
慢性肾脏病/疾病预测模型/预后Key words
chronic kidney disease/disease prediction model/prognosis分类
医药卫生引用本文复制引用
喻慧心,张旖骁,常青,赵玉虹..慢性肾脏病预测模型的研究进展[J].中国医科大学学报,2025,54(7):643-647,5.基金项目
国家重点研发计划"主动健康和人口老龄化科技应对"重点专项(2023YFC3604600) （2023YFC3604600）
