Copyright: ©Author(s) 2026.
World J Diabetes. Jun 15, 2026; 17(6): 119913
Published online Jun 15, 2026. doi: 10.4239/wjd.119913
Published online Jun 15, 2026. doi: 10.4239/wjd.119913
Figure 1 Factors associated with proteinuria progression based on multivariable logistic regression by different variation of the 12 metabolic indexes identified by percentiles (percentiles 75 and percentiles 67) of their standard deviation among type 2 diabetes mellitus patients.
A: Full model based on logistic regression; B: Model adjusted with demographic and clinical feature based on logistic regression; C: Model adjusted with demographic, clinical feature and metabolic index based on logistic regression. OR: Odds ratios; CI: Confidence intervals; BMI: Body mass index; SBP: Systolic blood pressure; DBP: Diastolic blood pressure; HbA1c: Glycated hemoglobin; T2DM: Type 2 diabetes mellitus; TC: Total cholesterol; TG: Triglyceride; LDL: Low-density lipoprotein; HDL: High-density lipoprotein; Cr: Creatinine; UA: Uric acid; GA: Glycated albumin; GLP-1: Glucagon-like peptide 1; Y: Yes; N: No; P: Percentiles.
- Citation: Ma YH, Wei XH, Liu Y, Gu LP, Shen TT, Fan TT, Qin Q, Zhang AF, Wang RP, Wang YF. Visit-to-visit variability of creatinine levels associated with proteinuria progression in Chinese patients with type 2 diabetes mellitus. World J Diabetes 2026; 17(6): 119913
- URL: https://www.wjgnet.com/1948-9358/full/v17/i6/119913.htm
- DOI: https://dx.doi.org/10.4239/wjd.119913