摘要
改善腹膜透析(peritoneal dialysis,PD)患者预后并制定标准化PD临床结局预测方法近年来受到广泛关注。目前公认的影响PD预后的核心结局有PD相关感染、心血管疾病、死亡、生活质量下降及技术失败。预测和识别PD临床结局预后不良的高风险患者,及早进行干预,对提高PD患者的生存率和生活质量、改善预后具有重要意义。文章从生物学标志物、风险预测模型、人工智能3个方面对近年来的相关研究进展进行综述。
Improving the prognosis of patients with peritoneal dialysis(PD)and developing standardized method for predicting PD clinical outcomes have been received widespread attention in recent years.The currently recognized core outcomes affecting PD prognosis are PD-associated infections,cardiovascular disease,death,reduced quality of life,and technical failure.Predicting and identifying high-risk patients with poor prognosis for PD clinical outcomes and intervening early are of great importance for improving survival rate and quality of life as well as improving prognosis of PD patients.This paper reviews the relevant research progress in recent years from three aspects:biological markers,risk prediction models,and artificial intelligence.
作者
李安岚
俞曼殊
盛梅笑
LI Anlan;YU Manshu;SHENG Meixiao(Department of Nephrology,the Affiliated Hospital of Nanjing University of Traditional Chinese Medicine,Nanjing 210029,China)
出处
《南京医科大学学报(自然科学版)》
CAS
北大核心
2024年第11期1605-1611,共7页
Journal of Nanjing Medical University(Natural Sciences)
基金
江苏省中医院高峰学术人才项目(Y2021rc10)
江苏省中医院优秀青年博士培养计划(2023QB0133)。
关键词
腹膜透析
临床结局
预后
风险预测
peritoneal dialysis
clinical outcomes
prognosis
risk prediction