Classification tree model analysis on related factors of different stages of kidney in type 1 diabetic patients
10.3760/cma.j.issn.1001-7097.2017.09.003
- VernacularTitle:分类树模型分析筛选1型糖尿病患者白蛋白尿的危险因素
- Author:
Wenbo ZHAO
1
;
Meijun SI
;
Huiqun LI
;
Zhouqing GAN
;
Tanqi LOU
Author Information
1. 中山大学附属第三医院肾脏内科
- Keywords:
Type 1 diabetes;
Proteinuria;
Influence factors,statistics;
Classification tree model
- From:
Chinese Journal of Nephrology
2017;33(9):656-662
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the related factors of micro-albuminuria and macroalbuminuria in type 1 diabetes mellitus (DM) in the classification tree model,and to screen the high risk population of diabetic kidney disease.Methods 394 patients with type 1 diabetes were enrolled in the hospital from 2008 to 2015.According to glomerular filtration rates and urine albumin quantification,the patients were divided into type 1 diabetes group (299 cases),micro-albuminuria group (73 cases) and macro-albuminuria group (22 cases).The classification tree model was utilized to analyze related factors of the different stages of proteinuria,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 27 candidate variables related to primary renal damage,including retinopathy,fibrinogen,waist-hip ratio (WHR),red blood cell distribution width (RDW).Retinopathy was an major factor of DKD.The probability of macro-albuminuria in retinopathy and WHR ＞ 0.82 group was 43.8％,and if at the same time RDW ＞ 0.14,the probability of macro-albuminuria was 88.9％.Conclusions The classification tree model can analyze factors of the separate stages of proteinuria in type 1 diabetic patients effectively.Retinopathy is the major influential factors of type 1 diabetic patients with proteinuria.
