Screening Tools Based on Nomogram for Diabetic Kidney Diseases in Chinese Type 2 Diabetes Mellitus Patients

Background The influencing factors of diabetic kidney disease (DKD) in Chinese patients with type 2 diabetes mellitus (T2DM) were explored to develop and validate a DKD diagnostic tool based on nomogram approach for patients with T2DM. Methods A total of 2,163 in-hospital patients with diabetes diag...

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Main Authors: Ganyi Wang, Biyao Wang, Gaoxing Qiao, Hao Lou, Fei Xu, Zhan Chen, Shiwei Chen
Format: Article
Language:English
Published: Korean Diabetes Association 2021-09-01
Series:Diabetes & Metabolism Journal
Subjects:
Online Access:http://www.e-dmj.org/upload/pdf/dmj-2020-0117.pdf
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spelling doaj-2c16059fcc314139a851670287ee89342021-10-06T02:13:13ZengKorean Diabetes AssociationDiabetes & Metabolism Journal2233-60792233-60872021-09-0145570871810.4093/dmj.2020.01172548Screening Tools Based on Nomogram for Diabetic Kidney Diseases in Chinese Type 2 Diabetes Mellitus PatientsGanyi Wang0Biyao Wang1Gaoxing Qiao2Hao Lou3Fei Xu4Zhan Chen5Shiwei Chen6 ADR Monitoring Department, Henan Medical Products Administration & Center for ADR Monitoring of Henan, Zhengzhou, China Zhengzhou University Affiliated Cancer Hospital, Zhengzhou, China Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China Department of Infection Control, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China ADR Monitoring Department, Henan Medical Products Administration & Center for ADR Monitoring of Henan, Zhengzhou, ChinaBackground The influencing factors of diabetic kidney disease (DKD) in Chinese patients with type 2 diabetes mellitus (T2DM) were explored to develop and validate a DKD diagnostic tool based on nomogram approach for patients with T2DM. Methods A total of 2,163 in-hospital patients with diabetes diagnosed from March 2015 to March 2017 were enrolled. Specified logistic regression models were used to screen the factors and establish four different diagnostic tools based on nomogram according to the final included variables. Discrimination and calibration were used to assess the performance of screening tools. Results Among the 2,163 participants with diabetes (1,227 men and 949 women), 313 patients (194 men and 120 women) were diagnosed with DKD. Four different screening equations (full model, laboratory-based model 1 [LBM1], laboratory-based model 2 [LBM2], and simplified model) showed good discriminations and calibrations. The C-indexes were 0.8450 (95% confidence interval [CI], 0.8202 to 0.8690) for full model, 0.8149 (95% CI, 0.7892 to 0.8405) for LBM1, 0.8171 (95% CI, 0.7912 to 0.8430) for LBM2, and 0.8083 (95% CI, 0.7824 to 0.8342) for simplified model. According to Hosmer-Lemeshow goodness-of-fit test, good agreement between the predicted and observed DKD events in patients with diabetes was observed for full model (χ2=3.2756, P=0.9159), LBM1 (χ2=7.749, P=0.4584), LBM2 (χ2=10.023, P=0.2634), and simplified model (χ2=12.294, P=0.1387). Conclusion LBM1, LBM2, and simplified model exhibited excellent predictive performance and availability and could be recommended for screening DKD cases among Chinese patients with diabetes.http://www.e-dmj.org/upload/pdf/dmj-2020-0117.pdfdiabetes mellitus, type 2diabetic nephropathiesnomogramsrisk factors
collection DOAJ
language English
format Article
sources DOAJ
author Ganyi Wang
Biyao Wang
Gaoxing Qiao
Hao Lou
Fei Xu
Zhan Chen
Shiwei Chen
spellingShingle Ganyi Wang
Biyao Wang
Gaoxing Qiao
Hao Lou
Fei Xu
Zhan Chen
Shiwei Chen
Screening Tools Based on Nomogram for Diabetic Kidney Diseases in Chinese Type 2 Diabetes Mellitus Patients
Diabetes & Metabolism Journal
diabetes mellitus, type 2
diabetic nephropathies
nomograms
risk factors
author_facet Ganyi Wang
Biyao Wang
Gaoxing Qiao
Hao Lou
Fei Xu
Zhan Chen
Shiwei Chen
author_sort Ganyi Wang
title Screening Tools Based on Nomogram for Diabetic Kidney Diseases in Chinese Type 2 Diabetes Mellitus Patients
title_short Screening Tools Based on Nomogram for Diabetic Kidney Diseases in Chinese Type 2 Diabetes Mellitus Patients
title_full Screening Tools Based on Nomogram for Diabetic Kidney Diseases in Chinese Type 2 Diabetes Mellitus Patients
title_fullStr Screening Tools Based on Nomogram for Diabetic Kidney Diseases in Chinese Type 2 Diabetes Mellitus Patients
title_full_unstemmed Screening Tools Based on Nomogram for Diabetic Kidney Diseases in Chinese Type 2 Diabetes Mellitus Patients
title_sort screening tools based on nomogram for diabetic kidney diseases in chinese type 2 diabetes mellitus patients
publisher Korean Diabetes Association
series Diabetes & Metabolism Journal
issn 2233-6079
2233-6087
publishDate 2021-09-01
description Background The influencing factors of diabetic kidney disease (DKD) in Chinese patients with type 2 diabetes mellitus (T2DM) were explored to develop and validate a DKD diagnostic tool based on nomogram approach for patients with T2DM. Methods A total of 2,163 in-hospital patients with diabetes diagnosed from March 2015 to March 2017 were enrolled. Specified logistic regression models were used to screen the factors and establish four different diagnostic tools based on nomogram according to the final included variables. Discrimination and calibration were used to assess the performance of screening tools. Results Among the 2,163 participants with diabetes (1,227 men and 949 women), 313 patients (194 men and 120 women) were diagnosed with DKD. Four different screening equations (full model, laboratory-based model 1 [LBM1], laboratory-based model 2 [LBM2], and simplified model) showed good discriminations and calibrations. The C-indexes were 0.8450 (95% confidence interval [CI], 0.8202 to 0.8690) for full model, 0.8149 (95% CI, 0.7892 to 0.8405) for LBM1, 0.8171 (95% CI, 0.7912 to 0.8430) for LBM2, and 0.8083 (95% CI, 0.7824 to 0.8342) for simplified model. According to Hosmer-Lemeshow goodness-of-fit test, good agreement between the predicted and observed DKD events in patients with diabetes was observed for full model (χ2=3.2756, P=0.9159), LBM1 (χ2=7.749, P=0.4584), LBM2 (χ2=10.023, P=0.2634), and simplified model (χ2=12.294, P=0.1387). Conclusion LBM1, LBM2, and simplified model exhibited excellent predictive performance and availability and could be recommended for screening DKD cases among Chinese patients with diabetes.
topic diabetes mellitus, type 2
diabetic nephropathies
nomograms
risk factors
url http://www.e-dmj.org/upload/pdf/dmj-2020-0117.pdf
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