Prediction of Renal Function by Urinary Lead and Cadmium - Based on Classification Decision Tree and Logistic Regression Model  

作　　者：LI Yang WANG Qing Yao TIAN Qing Hua AN Qi YANG Yu Tong ZHANG Jia Chen LI Shuang Jing ZHOU Han LIANG Yun Fen SHEN Wei Tong MU Li Na LEI Li Jian 

机构地区：[1]Department of Epidemiology,School of Public Health,Shanxi Medical University,Taiyuan 030001,Shanxi,China [2]Department of Epidemiology,School of Public Health,Shanxi Key Laboratory of Environmental Health Impairment and Prevention,NHC Key Laboratory of Pneumoconiosis,MOE Key Laboratory of Coal Environmental Pathogenicity and Prevention,Shanxi Medical University,Taiyuan 030001,Shanxi,China [3]Department of Epidemiology and Environmental Health,School of Public Health and Health Professions,The State University of New York at Buffalo,Buffalo,NY,USA.

出　　处：《Biomedical and Environmental Sciences》2024年第3期331-335,共5页生物医学与环境科学（英文版）

基　　金：supported by the National Natural Science Foundation of China[grant numbers 81872701,81273040];Shanxi Scholarship Council of China[grant number 2022-113].

摘　　要：It is estimated that chronic kidney disease(CKD)will be the fifth leading cause of death in the world by 2040[1].Early recognition and intervention for kidney damage are essential.Estimated glomerular filtration rate(eGFR)can be calculated by measuring blood creatinine to evaluate glomerular function,and urinary N-acetyl-β-δ-glucosaminidase(UNAG)level is generally recognized as a marker of renal tubular injury.Exposure to lead(Pb)and cadmium(Cd)can damage renal function,leading to a decrease in eGFR and an increase in UNAG[2].Both Pb and Cd are easily accumulated in the body and then slowly released by the kidneys and excreted.So,urinary Pb(UPb)and Cd(UCd)levels can be used as biomarkers of exposure[3,4].

关 键 词：URINARY DAMAGE slowly 

分 类 号：R114[医药卫生—卫生毒理学] R692[医药卫生—公共卫生与预防医学]