Evaluation of Lipid Profile and Atherogenic Index of Plasma in Patients with Type 2 Diabetes (AIP = log TG/HDL-c)

Djite Moustapha, Barry Nene Kesso Oumou, Kandji Pape Matar, Sagne René Ngor, Ndour El Hadji Malick, Gueye-Tall Fatou, Thioune Ndeye Marieme, T. Sagna-Bassene Helene Ange, Coly-Gueye Najah Fatou, Doupa Dominique, Ndiaye-Diallo Rokhaya, Ndour-Mbaye Maimouna (+4 others)
2020 Asian Journal of Biochemistry Genetics and Molecular Biology  
Aims: The objective of our study was to evaluate the lipid profile and the plasma atherogenicity index obtained from the log (TG / HDL-c) in diabetics patients. Study Design: This is a comparative and analytical study. Place and Duration of Study: Sample: MARC SANKALE Centre at the Abass Ndao Hospital in Dakar (Senegal), CHNU/Fann Biochemistry Laboratory, from June 2018 to November 2019. Controls: For each patient, a witness of the same sex and the same age ± 2 years was recruited. Methodology:
more » ... uited. Methodology: The lipid balance parameters were assayed using enzymatic techniques with the Cobas c311 system (Roche Diagnostics, Switzerland). Plasma atherogenicity indices for each patient were calculated (CT / HDL-c, LDL / HDL-c and Log (TG / HDL-c)). Data analysis was performed using XLSTAT software and a p value <0.05 was considered to be a statistically significant difference. Results: Our study concerned 100 subjects with type 2 diabetes. The average age was 50.5 ± 10.80 years old and the sex ratio was 0.58. Evaluation of lipid parameters had shown an increase in diabetic subjects compared to controls for total cholesterol (2.30 g / l) and LDL-cholesterol (1.40 g / l) with significant differences (p < 0.001). We also found that 11% of patients had a CT / HDL-c ratio > 4.5, while 8% had an LDL-c / HDL-c ratio > 3.5 and 26% of patients had a log (Tg / HDL- c) > 0.21. Conclusion: Lipid disturbances constitute significant abnormalities in type 2 diabetic subjects and would predispose them to cardiovascular complications. However, IAP = log (TG / HDL-c) could be considered the most sensitive predictor of cardiovascular risk.
doi:10.9734/ajbgmb/2020/v5i330132 fatcat:xubzjpx3uvak7h2aoh6m6xreuu