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Updated: Jan 25, 2026

Assessment of Blood-brain Barrier Permeability by Intravenous Infusion of FITC-labeled Albumin in a Mouse Model of Neurodegenerative Disease
Published on: November 8, 2017
[Can urine albumin/creatinine ratio replace 24 hours urinary albumin?]
1NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Metabolic Diseases Hospital & Tianjin Institute of Endocrinology, Tianjin 300070, China.
Abstract:
Objective: To analyze the correlation between urinary albumin/creatinine ratio (ACR) and 24-hour urinary microalbumin (UMA) and evaluate the predictive value of ARC for early diabetic nephropathy. Methods: A total of 368 patients with type 2 diabetes mellitus were retrospectively collected. Early diabetic nephropathy was defined as 24h UMA 30~<300 mg/24h. The correlation between ACR and 24hUMA, and the area under the receiver operating characteristic (ROC) curve of ACR in diagnosis of early diabetic nephropathy were calculated. Gender, age, course of disease, fasting venous blood glucose, glycosylated hemoglobin, blood pressure, triglyceride and total cholesterol were used as adjusting variables to establish univariate and multivariate logistic models of ACR for early diabetic nephropathy, respectively. A regression model was used to evaluate the diagnostic value of ACR for early diabetic nephropathy. Results: The correlation between ACR and 24h UMA was 0.658. The area under ROC curve of ACR for early diabetic nephropathy was 0.907 before and 0.933 after adjustments of gender, age, course of disease, fasting venous blood glucose, glycosylated hemoglobin, blood pressure, triglyceride and total cholesterol, respectively. The OR value of ACR of diabetic nephropathy was 2.016 before and 2.762 after same adjustments. The calibration of Hosmer-Lemeshow chi-square test evaluation model was 19.362 before (P=0.13) and 14.928 after adjustments (P=0.061). Conclusion: ACR is a better predictor for early diabetic nephropathy although its value is influenced by gender, age, course of disease, blood sugar, lipid, and blood pressure.
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