Establishment and Validation of a Nomogram Model for Prediction of Diabetic Nephropathy in Type 2 Diabetic Patients with Proteinuria

References

• Ruiz-Ortega M, Rodrigues-Diez RR, Lavoz C, Rayego-Mateos S. Diabetic nephropathy: diagnosis, prevention and treatment. J Clin Med. 2020;9:3. doi:10.3390/jcm9030813
   Web of Science ®Google Scholar
• Hou JH, Zhu HX, Zhou ML, et al. Changes in the spectrum of kidney diseases: an analysis of 40,759 biopsy-proven cases from 2003 to 2014 in China. Kidney Dis. 2018;4(1):10–19. doi:10.1159/000484717
   Web of Science ®Google Scholar
• Bilous RW, Gonzalez-Campoy JM, Fradkin JE, et al. KDOQI clinical practice guideline for diabetes and CKD: 2012 update. Am J Kidney Dis. 2012;60(5):850–886. doi:10.1053/j.ajkd.2012.07.005
   Web of Science ®Google Scholar
• Yang YZ, Wang JW, Wang F, et al. Incidence, development, and prognosis of diabetic kidney disease in China: design and methods. Chin Med J. 2017;130(2):199–202. doi:10.4103/0366-6999.198002
   Web of Science ®Google Scholar
• Umanath K, Lewis JB. Update on diabetic nephropathy: core curriculum 2018. Am J Kidney Dis. 2018;71(6):884–895. doi:10.1053/j.ajkd.2017.10.026
   PubMed Web of Science ®Google Scholar
• American Diabetes Association. Diagnosis and classification of diabetes mellitus. Diabetes Care. 2013;36 Suppl 1(Suppl 1):S67–74. doi:10.2337/dc13-S067
   PubMed Web of Science ®Google Scholar
• Levey AS, Coresh J, Greene T, et al. Expressing the modification of diet in renal disease study equation for estimating glomerular filtration rate with standardized serum creatinine values. Clin Chem. 2007;53(4):766–772. doi:10.1373/clinchem.2006.077180
   PubMed Web of Science ®Google Scholar
• Chang TI, Park JT, Kim JK, et al. Renal outcomes in patients with type 2 diabetes with or without coexisting non-diabetic renal disease. Diabetes Res Clin Pract. 2011;92(2):198–204. doi:10.1016/j.diabres.2011.01.017
   PubMed Web of Science ®Google Scholar
• Soleymanian T, Hamid G, Arefi M, et al. Non-diabetic renal disease with or without diabetic nephropathy in type 2 diabetes: clinical predictors and outcome. Ren Fail. 2015;37(4):572–575. doi:10.3109/0886022X.2015.1007804
   PubMed Web of Science ®Google Scholar
• Zhuo L, Ren W, Li W, Zou G, Lu J. Evaluation of renal biopsies in type 2 diabetic patients with kidney disease: a clinicopathological study of 216 cases. Int Urol Nephrol. 2013;45(1):173–179. doi:10.1007/s11255-012-0164-6
   PubMed Web of Science ®Google Scholar
• Bermejo S, Pascual J, Soler MJ. The current role of renal biopsy in diabetic patients. Minerva Med. 2018;109(2):116–125. doi:10.23736/S0026-4806.17.05446-5
   Web of Science ®Google Scholar
• Dong Z, Wang Y, Qiu Q, et al. Clinical predictors differentiating non-diabetic renal diseases from diabetic nephropathy in a large population of type 2 diabetes patients. Diabetes Res Clin Pract. 2016;121:112–118. doi:10.1016/j.diabres.2016.09.005
   Web of Science ®Google Scholar
• Vickers AJ, Cronin AM, Elkin EB, et al. Extensions to decision curve analysis, a novel method for evaluating diagnostic tests, prediction models and molecular markers. BMC Med Inform Decis Mak. 2008;8:53. doi:10.1186/1472-6947-8-53
   PubMed Web of Science ®Google Scholar
• Aldemir O, Turgut F, Gokce C. The association between methylation levels of targeted genes and albuminuria in patients with early diabetic kidney disease. Ren Fail. 2017;39(1):597–601. doi:10.1080/0886022X.2017.1358180
   PubMed Web of Science ®Google Scholar
• Liang S, Zhang XG, Cai GY, et al. Identifying parameters to distinguish non-diabetic renal diseases from diabetic nephropathy in patients with type 2 diabetes mellitus: a meta-analysis. PLoS One. 2013;8(5):e64184. doi:10.1371/journal.pone.0064184
   Web of Science ®Google Scholar
• Dominguez JH, Tang N, Xu W, et al. Studies of renal injury III: lipid-induced nephropathy in type II diabetes. Kidney Int. 2000;57(1):92–104. doi:10.1046/j.1523-1755.2000.00814.x
   Web of Science ®Google Scholar
• Zoppini G, Negri C, Stoico V, Casati S, Pichiri I, Bonora E. Triglyceride-high-density lipoprotein cholesterol is associated with microvascular complications in type 2 diabetes mellitus. Metabolism. 2012;61(1):22–29. doi:10.1016/j.metabol.2011.05.004
   Web of Science ®Google Scholar
• Ioannou K. Diabetic nephropathy: is it always there? Assumptions, weaknesses and pitfalls in the diagnosis. Hormones. 2017;16(4):351–361. doi:10.14310/horm.2002.1755
   PubMedGoogle Scholar
• Elsayed MS, El Badawy A, Ahmed A, Omar R, Mohamed A. Serum cystatin C as an indicator for early detection of diabetic nephropathy in type 2 diabetes mellitus. Diabetes Metab Syndr. 2019;13(1):374–381. doi:10.1016/j.dsx.2018.08.017
   PubMed Web of Science ®Google Scholar
• Mou S, Wang Q, Liu J, et al. Prevalence of non-diabetic renal disease in patients with type 2 diabetes. Diabetes Res Clin Pract. 2010;87(3):354–359. doi:10.1016/j.diabres.2009.11.012
   PubMed Web of Science ®Google Scholar
• Tuttle KR, Bakris GL, Bilous RW, et al. Diabetic kidney disease: a report from an ADA Consensus Conference. Diabetes Care. 2014;37(10):2864–2883. doi:10.2337/dc14-1296
   PubMed Web of Science ®Google Scholar
• Huang F, Yang Q, Chen L, Tang S, Liu W, Yu X. Renal pathological change in patients with type 2 diabetes is not always diabetic nephropathy: a report of 52 cases. Clin Nephrol. 2007;67(5):293–297. doi:10.5414/CNP67293
   PubMed Web of Science ®Google Scholar
• He F, Xia X, Wu XF, Yu XQ, Huang FX. Diabetic retinopathy in predicting diabetic nephropathy in patients with type 2 diabetes and renal disease: a meta-analysis. Diabetologia. 2013;56(3):457–466. doi:10.1007/s00125-012-2796-6
   PubMed Web of Science ®Google Scholar
• Prakash J, Gupta T, Prakash S, et al. Non-diabetic renal disease in type 2 diabetes mellitus: study of renal - retinal relationship. Indian J Nephrol. 2015;25(4):222–228. doi:10.4103/0971-4065.144420
   Google Scholar
• Zhou J, Chen X, Xie Y, et al. A differential diagnostic model of diabetic nephropathy and non-diabetic renal diseases. Nephrol Dial Transplant. 2008;23(6):1940–1945. doi:10.1093/ndt/gfm897
   PubMed Web of Science ®Google Scholar
• Jiang S, Fang J, Yu T, et al. Novel model predicts diabetic nephropathy in type 2 diabetes. Am J Nephrol. 2020;51(2):130–138. doi:10.1159/000505145
   PubMed Web of Science ®Google Scholar
• Agius E, Attard G, Shakespeare L, et al. Familial factors in diabetic nephropathy: an offspring study. Diabet Med. 2006;23(3):331–334. doi:10.1111/j.1464-5491.2006.01803.x
   Web of Science ®Google Scholar
• Sternlicht H, Bakris GL. Management of hypertension in diabetic nephropathy: how low should we go. Blood Purif. 2016;41(1–3):139–143. doi:10.1159/000441264
   Web of Science ®Google Scholar
• Yang Z, Feng L, Huang Y, et al. A differential diagnosis model for diabetic nephropathy and non-diabetic renal disease in patients with type 2 diabetes complicated with chronic kidney disease. Diabetes Metab Syndr Obes. 2019;12:1963–1972. doi:10.2147/DMSO.S223144
   PubMed Web of Science ®Google Scholar
• Liu MY, Chen XM, Sun XF, et al. Validation of a differential diagnostic model of diabetic nephropathy and non-diabetic renal diseases and the establishment of a new diagnostic model. J Diabetes. 2014;6(6):519–526. doi:10.1111/1753-0407.12150
   Web of Science ®Google Scholar
• Mohanram A, Toto RD. Outcome studies in diabetic nephropathy. Semin Nephrol. 2003;23(3):255–271. doi:10.1016/S0270-9295(03)00061-5
   Web of Science ®Google Scholar
• Mehdi U, Toto RD. Anemia, diabetes, and chronic kidney disease. Diabetes Care. 2009;32(7):1320–1326. doi:10.2337/dc08-0779
   PubMed Web of Science ®Google Scholar
• Popa O, Stefan G, Capusa C, et al. Non-diabetic glomerular lesions in diabetic kidney disease: clinical predictors and outcome in an Eastern European cohort. Int Urol Nephrol. 2021;53(4):739–747. doi:10.1007/s11255-020-02681-x
   Web of Science ®Google Scholar
• Retnakaran R, Cull CA, Thorne KI, et al. Risk factors for renal dysfunction in type 2 diabetes: UK Prospective Diabetes Study 74. Diabetes. 2006;55(6):1832–1839. doi:10.2337/db05-1620
   PubMed Web of Science ®Google Scholar
• Yang YF, Li TC, Li CI, et al. Visit-to-visit glucose variability predicts the development of end-stage renal disease in type 2 diabetes: 10-year follow-up of Taiwan diabetes study. Medicine. 2015;94(44):e1804. doi:10.1097/MD.0000000000001804
   Web of Science ®Google Scholar
• Hu Y, Shi R, Mo R, et al. Nomogram for the prediction of diabetic nephropathy risk among patients with type 2 diabetes mellitus based on a questionnaire and biochemical indicators: a retrospective study. Aging. 2020;12(11):10317–10336. doi:10.18632/aging.103259
   PubMedGoogle Scholar
• Lou J, Jing L, Yang H, et al. Risk factors for diabetic nephropathy complications in community patients with type 2 diabetes mellitus in Shanghai: logistic regression and classification tree model analysis. Int J Health Plann Manage. 2019;34(3):1013–1024. doi:10.1002/hpm.2871
   PubMed Web of Science ®Google Scholar