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

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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].

作者 LI Yang ^[1] WANG Qing Yao ^[1] TIAN Qing Hua ^[1] AN Qi ^[1] YANG Yu Tong ^[1] ZHANG Jia Chen ^[2] LI Shuang Jing ^[2] ZHOU Han ^[2] LIANG Yun Fen ^[2] SHEN Wei Tong ^[2] MU Li Na ^[3] LEI Li Jian ^[1] 学术成果认领

作者单位 Department of Epidemiology,School of Public Health,Shanxi Medical University,Taiyuan 030001,Shanxi,China;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 ^[1] Department of Epidemiology,School of Public Health,Shanxi Medical University,Taiyuan 030001,Shanxi,China ^[2] Department of Epidemiology and Environmental Health,School of Public Health and Health Professions,The State University of New York at Buffalo,Buffalo,NY,USA. ^[3]

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Letters to the Editor

DOI 10.3967/bes2024.037

发布时间 2024-04-22（万方平台首次上网日期，不代表论文的发表时间）

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