Advances in prediction models for chronic kidney disease
10.12007/j.issn.0258-4646.2025.07.012
- VernacularTitle:慢性肾脏病预测模型的研究进展
- Author:
Huixin YU
1
;
Yixiao ZHANG
;
Qing CHANG
;
Yuhong ZHAO
Author Information
1. 中国医科大学附属盛京医院临床流行病学教研室,沈阳 110004;中国医科大学附属盛京医院数据中心,沈阳 110004
- Publication Type:Journal Article
- Keywords:
chronic kidney disease;
disease prediction model;
prognosis
- From:
Journal of China Medical University
2025;54(7):643-647
- CountryChina
- Language:Chinese
-
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.
