ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2024
The Correlation Between Glycation Gap and Renal Complications in Patients with Type 2 Diabetes Mellitus.
Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Association Between Hemoglobin Glycation Index and Mortality in Critically Ill Patients With Atrial Fibrillation: A Retrospective Cohort Study.Clinical cardiology · 2026Article
- Determinants of estimated glomerular filtration rate in patients with type 2 diabetes mellitus: A cross-sectional study.Biomedical reports · 2025Article
- Association between glycation gap and impaired cardiorespiratory fitness: evidence from American adults.BMC cardiovascular disorders · 2025Article
- Deciphering the Association: Critical HDL-C Levels and Their Impact on the Glycation Gap in People Living with HIV.International journal of molecular sciences · 2025Article
- Comparative prognostic value of hemoglobin glycation index and glycation gap for mortality risk in adults: A population-based study.Diabetes & vascular disease researchArticle
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: The aim of this study was to investigate the correlations between the glycation gap (GG) and renal complications such as urinary albumin-creatinine ratio (UACR) and estimated glomerular filtration rate (eGFR) in type 2 diabetes mellitus patients. Materials and Methods: A cross-sectional study was conducted on 104 individuals (52 males and 52 females), aged 36-93 years old. Fasting blood glucose (FBG), HbA1c, and serum fructosamine were measured simultaneously. GG was calculated as the difference between the measured and fructosamine-based predicted HbA1c levels (FHbA1c). Results: There was a moderately positive correlation between HbA1c and fructosamine concentration (r = 0.488; p < 0.001). GG was positively correlated with UACR (r = 0.3275; p = 0.0007), negatively correlated with eGFR (r = -0.3400; p = 0.0004). HbA1c was positively correlated with UACR (r = 0.2437; p = 0.0127) but not correlated with eGFR (r = -0.444; p = 0.6542). Fructosamine has a positive correlation with eGFR (r = 0.2426; p = 0.0131) but not with UACR (r = -0.1021; p = 0.3025). Conclusion: GG was positively correlated with UACR and inversely correlated with eGFR in type 2 Diabetes mellitus patients. This suggests that GG is a valuable index for predicting kidney complications due to diabetes.
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