The DOI matches its Crossref record; 16 of the 17 references it cites were found in a registry or an index.
A comparative analysis of fructosamine with other risk factors for kidney dysfunction in diabetic patients with or without chronic kidney disease
Abstract
BACKGROUND Hyperglycemia is the driving force for the development of diabetic nephropathy leading to the end stage renal disease. It is well known that in hyperglycaemic condition, serum proteins become glycated through non-enzymatic glycation. With the other risk factors, serum fructosamine may be an important risk factor for kidney impairment. To assess coexistence of frequently documented risk factors of kidney dysfunction with serum fructosamine in diabetic patients with chronic kidney disease (CKD). METHODS In this study, total 150 individuals, as control, type2 diabetic patients without complication and with CKD were included. Blood samples were collected from all the samples to estimate blood glucose, HbA1c, serum creatinine, fructosamine levels and lipid profile. Statistical analysis i.e. regression and correlation between serum fructosamine and other documented risk factors for diabetic CKD has been done. P < 0.001 was considered significant. RESULTS Serum fructosamine, HbA1c, creatinine levels, cholesterol and LDL were increased significantly (P < 0.001) in diabetic patients with CKD compared to without complications. Systolic and diastolic blood pressure and BMI were also significantly higher in diabetic patients compared to control. Serum creatinine, total cholesterol and LDL showed a significant positive correlation but HDL showed a negative correlation with fructosamine in CKD diabetic patients. No significant correlation was found with any risk factors in diabe…
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“Correlations of fructosamine with HbA1c and mean blood glucose were examined in 4 observational studies.”
From KDIGO 2022 Clinical Practice Guideline for Diabetes Management in Chronic Kidney Disease (2022) · cites this paper as [199]
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Cites
Biochemistry and molecular cell biology of diabetic complications
Brownlee, M. (2001) · Nature · doi:10.1038/414813a · Cited by 9,107
Advanced Glycosylation End Products in Tissue and the Biochemical Basis of Diabetic Complications
Flier, J. S., Underhill, L. H., Brownlee, M., Cerami, A., & Vlassara, H. (1988) · New England Journal of Medicine · doi:10.1056/nejm198805193182007 · Cited by 2,512
Accelerated age-related browning of human collagen in diabetes mellitus.
Monnier, V. M., Kohn, R. R., & Cerami, A. (1984) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.81.2.583 · Cited by 672
Bucala, R., Makita, Z., Vega, G., Grundy, S. M., Koschinsky, T., Cerami, A., & Vlassara, H. (1994) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.91.20.9441 · Cited by 471
Fructosamine: structure, analysis, and clinical usefulness.
Armbruster, D. (1987) · Clinical Chemistry · doi:10.1093/clinchem/33.12.2153 · Cited by 440
The need for early predictors of diabetic nephropathy risk: is albumin excretion rate sufficient?
Caramori, M. L., Fioretto, P., & Mauer, M. S. (2000) · Diabetes · doi:10.2337/diabetes.49.9.1399 · Cited by 431
Depletion of total antioxidant capacity in type 2 diabetes
Opara, E. C., Abdel-Rahman, E., Soliman, S., Kamel, W. A., Souka, S., Lowe, J. E., & Abdel‐aleem, S. (1999) · Metabolism · doi:10.1016/s0026-0495(99)90152-x · Cited by 155
Krolewski, A. S., Warram, J. H., & Christlieb, A. R. (1994) · PubMed · Cited by 137
Schalkwijk, C. G., & Miyata, T. (2010) · Amino Acids · doi:10.1007/s00726-010-0779-9 · Cited by 136
Increased glycosylation of glomerular basement membrane collagen in diabetes
Cohen, M. P., Urdanivia, E., Surma, M. L., & Wu, V.-Y. (1980) · Biochemical and Biophysical Research Communications · doi:10.1016/0006-291x(80)90852-9 · Cited by 133
Research works printed but not linked: 1
- 2012, American diabetes association, Diabetes Care, 351, 64
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KDIGO 2020 Clinical practice guideline for diabetes management in chronic kidney disease
de Boer, I. H., Caramori, M. L., Chan, J. C. N., Heerspink, H. J. L., Hurst, C., Khunti, K., Liew, A., Michos, E. D., Navaneethan, S. D., Olowu, W. A., et al. (2020) · Kidney International · doi:10.1016/j.kint.2020.06.019 · Cited by 1,399
KDIGO 2022 Clinical Practice Guideline for Diabetes Management in Chronic Kidney Disease
Rossing, P., Caramori, M. L., Chan, J. C. N., Heerspink, H. J. L., Hurst, C., Khunti, K., Liew, A., Michos, E. D., Navaneethan, S. D., Olowu, W. A., et al. (2022) · Kidney International · doi:10.1016/j.kint.2022.06.008 · Cited by 1,373
Review of methods for detecting glycemic disorders
Bergman, M., Abdul‐Ghani, M. A., DeFronzo, R. A., Manco, M., Sesti, G., Fiorentino, T. V., Ceriello, A., Rhee, M. K., Phillips, L. S., Chung, S. T., et al. (2020) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2020.108233 · Cited by 210
Lei, X., Tie, J., & Fujita, H. (2020) · Knowledge-Based Systems · doi:10.1016/j.knosys.2020.106238 · Cited by 36
Wang, Y., Chen, Y., Jia, Y., Xue, Z., Chen, Z., Zhang, M., Panichayupakaranant, P., Yang, S., & Chen, H. (2021) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2021.114569 · Cited by 17
Metadata
- Authors
- Neelofar, K., & Ahmad, J.
- Affiliations
- Aligarh Muslim University (IN)
- Corresponding author
- Neelofar, Km
- ORCID
- Ahmad, Jamal
- Venue
- Diabetes & Metabolic Syndrome: Clinical Research & Reviews
- Publisher
- Elsevier BV
- Published
- 2019-01
- Volume
- 13
- Issue
- 1
- Pages
- 240-244
- ISSN
- 1871-4021 (ISSN-L)
- OpenAlex
- W2885754046
- Cited by
- 18
- References
- 17
- Citations by year
- 2025: 1 · 2024: 4 · 2023: 2 · 2022: 3 · 2021: 3 · 2020: 4 · 2019: 1
- FWCI
- 1.65
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Diabetes & Metabolic Syndrome Clinical Research & Reviews (publishedVersion)
- PubMed (publishedVersion)
- Funders
- ICMR, New Delhi
- Topics
- Health Sciences › Medicine › Nephrology › Chronic Kidney Disease and Diabetes
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Clinical Biochemistry › Advanced Glycation End Products research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Keywords
- fructosamine, chronic kidney disease, diabetic nephropathy, renal dysfunction, glycation, hyperglycemia, HbA1c, serum creatinine, lipid profile, blood pressure, body mass index, risk factors
- MeSH terms
- Adult, Aged, Diabetes Mellitus, Type 2, Diabetic Nephropathies, Female, Follow-Up Studies, Humans, Male, Middle Aged, Prognosis, Risk Factors, Biomarkers, Case-Control Studies, Fructosamine, Renal Insufficiency, Chronic, Renal Insufficiency
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