Classification Tree Model Analysis on Risk Factors of Diabetic Kidney Disease to Progress to ESRD for CKD3-4 Stages Patients
- VernacularTitle:慢性肾脏病3-4期糖尿病肾脏疾病患者进展到终末期肾病的 危险因素分类树模型分析
- Author:
Zhi-bo LIAO
1
;
Xun LIU
2
;
Cai-lian CHENG
2
;
Cheng-gang SHI
2
;
Shao-min LI
2
;
Wen-bo ZHAO
2
Author Information
1. Division of Nephrology,The Third Affiliated Hospital of Sun Yat-sen University Yuedong Hospital,Meizhou 514700,China
2. Department of Nephrology,The Third Affiliated Hospital of Sun Yat-sen University,Guangzhou 510630,China
- Publication Type:Journal Article
- Keywords:
diabetic kidney disease;classification tree model;risk factors;risk populations
- From:
Journal of Sun Yat-sen University(Medical Sciences)
2019;40(5):767-773
- CountryChina
- Language:Chinese
-
Abstract:
【Objective】To analyze the risk factors of progression to end-stage renal disease(ESRD)in patients with
diabetic kidney disease(DKD),and screen the high-risk population for early prevention.【Methods】The clinical data of
231 patients with diabetic nephropathy in our hospital were collected and followed up for 3 years. According to whether
ESRD occurred,they were divided into non-progressing ESRD group(133 cases)and ESRD group(98 cases). Classification
tree model was used to analyze the risk factors related to ESRD,and the high-risk population was screened by node gain
analysis.【Results】Four important explanatory variables were screened out by the classification tree model from the candi⁃
date variables related to early renal damage,including apolipoprotein B(ApoB),gender,diabetic retinopathy,systemic blood
pressure(SBP). ApoB level was an important factor for DKD progression. For DKD patients with the chronic kidney disease
(CKD)3~4 stageswith ApoB> 1.14 mmol/L,theprobabilityofprogression toESRDfor 3 yearswas 75.0 %,and ifat the same
time with diabetic retinopathy,the probability was 79.7 %.【Conclusion】The classification tree model can analyze the risk
factors of progression to ESRD in DKD patients effectively,to identify the characteristics of high-risk populations.