Copyright
©The Author(s) 2023.
World J Diabetes. Jul 15, 2023; 14(7): 1103-1111
Published online Jul 15, 2023. doi: 10.4239/wjd.v14.i7.1103
Published online Jul 15, 2023. doi: 10.4239/wjd.v14.i7.1103
Figure 1 Correlation analysis.
A-E: The relationship between microalbumin (mALB), mALB/urinary creatinine (U-CR), U-CR, β2 microglobulin (β2MG), retinol binding protein (RBP) and course of disease; F-J: The relationship between mALB, mALB/U-CR, U-CR, β2MG, RBP and glycated hemoglobin A1c. U-mALB: Urinary microalbumin; U-CR: Urinary creatinine; β2MG: β2 microglobulin; RBP: Retinol binding protein; HbA1c: Glycated hemoglobin A1c.
Figure 2 Receiver operator characteristic curve analysis of glycated hemoglobin A1c, microalbumin, microalbumin/urinary creatinine, urinary creatinine, β2 microglobulin, and retinol binding protein for predicting proliferative diabetic retinopathy.
U-mALB: Urinary microalbumin; U-CR: Urinary creatinine; β2MG: β2 microglobulin; RBP: Retinol binding protein; HbA1c: Glycated hemoglobin A1c.
- Citation: Song JJ, Han XF, Chen JF, Liu KM. Correlation between glycated hemoglobin A1c, urinary microalbumin, urinary creatinine, β2 microglobulin, retinol binding protein and diabetic retinopathy. World J Diabetes 2023; 14(7): 1103-1111
- URL: https://www.wjgnet.com/1948-9358/full/v14/i7/1103.htm
- DOI: https://dx.doi.org/10.4239/wjd.v14.i7.1103