Probing into Possible Factors and Gender Differences of Anemia in Patients with Diabetes Nephropathy based on Bayesian Network Model
10.11783/j.issn.1002-3674.2023.06.006
- VernacularTitle:基于贝叶斯网络模型探讨糖尿病肾病患者贫血发生的可能因素及性别差异
- Author:
Zhimin HUANG
1
;
Mingbu XIE
Author Information
1. 宁德师范学院附属宁德市医院肾内科(352000)
- Keywords:
Diabetes nephropathy;
Anemia;
Influencing factors;
Gender differences;
Bayesian network model
- From:
Chinese Journal of Health Statistics
2023;40(6):827-831
- CountryChina
- Language:Chinese
-
Abstract:
Objective Probing into possible factors and gender differences of anemia in patients with diabetes nephropathy based on Bayesian network model.Methods 224 patients with diabetes nephropathy who were treated in Ningde City hospital from June 2020 to June 2023 were taken as the research objects,patients were divided into an anemia group(98 cases)and a non anemia group(126 cases)based on whether they were anemic.Comparison of anemia related indicators in diabetes nephropathy patients of different sexes.Comparison of clinical data between two groups of patients with diabetes nephropathy.Multivariate logistic regression was used to analyze the influencing factors of anemia in patients with diabetes nephropathy.Build a Bayesian network model using R software and perform inference and prediction of the model.The effectiveness of the model was verified by receiver operating characteristic and calibration curve.Results Male patients showed significantly higher levels of Hb,RBC,and HCT compared to female patients;MCV,MCH,and MCHC were significantly lower than those in female patients,with statistically significant differences(P<0.05).Sex,course of diabetes,stage of kidney disease,ALB,CHE,eGFR and HbA1c were independent risk factors for anemia in patients with diabetes nephropathy(P<0.05).The results of receiver operating characteristic and calibration curve of training set and verification set show that the Bayesian network prediction model has good discrimination and accuracy.Conclusion Sex,course of diabetes,stage of kidney disease,ALB,CHE,eGFR and HbA1c are independent risk factors for anemia in patients with diabetes nephropathy.There are certain gender differences in anemia related indicators among patients.
