Correlation Between Lipid Profile Parameters and eGFR in Patients With Type 2 Diabetes

Hamza Alasbily; Sana Abdalrahman; Hayam Elawamy; Fardous Fahmi; Abeer Albarasi; Adnan Asheibi; Salim Ramadhan; Ahmed Amhidi

doi:10.54361/ajmas.258368

Authors

Hamza Alasbily Department of Basic Medical Science, Faculty of Dentistry, University of Benghazi, Benghazi, Libya. https://orcid.org/0000-0002-5334-1242
Sana Abdalrahman Department of Pharmacology, Faculty of Medicine, University of Omar-AL Mukhtar. https://orcid.org/0009-0003-4329-0976
Hayam Elawamy Department of Medical Laboratories, College of Medical Technology, Benghazi, Libya https://orcid.org/0000-0002-4038-5780
Fardous Fahmi Program of Basic Medical Science, School of Medical and Health Sciences, Libyan International University, Benghazi, Libya. https://orcid.org/0009-0004-7311-0638
Abeer Albarasi Department of Pharmacology, Faculty of Medicine, University of Benghazi, Benghazi, Libya. https://orcid.org/0009-0007-5476-8866
Adnan Asheibi Program of Medicine, Libyan International University, Benghazi, Libya. https://orcid.org/0009-0008-1256-5347
Salim Ramadhan Department of Pharmacology, Faculty of Medicine al-Marj, University of Benghazi, Benghazi, Libya. https://orcid.org/0009-0006-4497-1310
Ahmed Amhidi https://orcid.org/0009-0005-4490-9747

DOI:

https://doi.org/10.54361/ajmas.258368

Keywords:

Type 2 Diabetes Mellitus, Estimated Glomerular Filtration Rate (eGFR), Renal Function, Lipid Profile Parameters, and Dyslipidemia.

Abstract

Dyslipidemia and chronic kidney disease (CKD) are common comorbidities in patients with type 2 diabetes (T2D), and accumulating evidence suggests a bidirectional relationship between lipid abnormalities and renal dysfunction. This study aimed to evaluate the association between serum lipid parameters and estimated glomerular filtration rate (eGFR) in T2D. A cross-sectional study was conducted at the Benghazi Diabetic Center between June and December 2024, including 280 adult with T2D. Demographic data (age, sex, and diabetes duration) and clinical parameters, including lipid profile, renal function tests, and glycated hemoglobin (HbA1c), were collected from patient records during follow-up. eGFR was calculated using the CKD-EPI 2021 equation and patients were categorized into six eGFR stages. Data were analyzed using SPSS version 27, and spearman's correlation test was used to determine the association between eGFR and lipid profile parameters. The mean age of participants was 58.4 ± 11.5 years, with a mean diabetes duration of 11.7 years and mean HbA1c of 7.8 ± 1.3%. Females comprised 55% of the cohort while males represent 45 %. The study also found the following mean values: creatinine 1.0 ± 0.9, urea 36.6 ± 24.3, GFR 83.1 ± 26.9, cholesterol 174.7 ± 45.3, triglyceride 165.4 ± 86.6, HDL 46.3 ± 12.4, LDL 86.6 ± 30.9, and VLDL 33.1 ± 17.3.Spearman's correlation revealed statistically significant weak negative correlations between eGFR and triglycerides (ρ = –0.206, P < 0.001), HDL (ρ = –0.198, P < 0.001), and TC (ρ = –0.158, P = 0.008) while low-density lipoprotein (LDL) exhibited a weak positive correlation with eGFR (ρ = 0.256, p < 0.001). These findings suggest a potential relationship between lipid abnormalities and renal function in T2D, emphasizing the importance of early lipid profile monitoring