Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2019 Jun 5:15:149-157.
doi: 10.2147/VHRM.S209830. eCollection 2019.

High level of individual lipid profile and lipid ratio as a predictive marker of poor glycemic control in type-2 diabetes mellitus

Affiliations

High level of individual lipid profile and lipid ratio as a predictive marker of poor glycemic control in type-2 diabetes mellitus

I Made Junior Rina Artha et al. Vasc Health Risk Manag. .

Abstract

Introduction: Diabetes is often accompanied by undiagnosed dyslipidemia. The aim of the study is to investigate the clinical relevance of lipid profiles and lipid ratios as predictive biochemical models for glycemic control in patients with type 2 diabetes mellitus (T2DM). Methods: This is a retrospective study recruiting 140 patients with T2DM during a one-year period, 2018-2019, at the Diabetic Center Sanglah General Hospital and Internal Medicine Polyclinic Puri Raharja General Hospital. Demographic characteristics, glycosylated hemoglobin (HBA1c) , and lipid profile were recorded and analyzed using SPSS version 25.0 for Windows. The sample is then classified into good (HBA1c≤7) and poor (HBA1c>7) glycemic control. Risk analysis model, receiver operator characteristics (ROC) analysis, and correlation test were used to evaluate the association of HBA1c level with lipid profile and lipid ratio parameters. Result: Lipid profile findings such as total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C) , triglycerides (TG), and lipid ratio parameter (LDL-C to high-density lipoprotein cholesterol (HDL-C) ratio) were higher in patients in the poor glycemic control group (p<0.05) and HDL-C was significantly lower in patients with poor glycemic control (p=0.001). There is a significant positive correlation between LDL, total cholesterol, LDL-C, TG, and TC to HDL-C ratio, triglycerides, and TC/HDL-C ratio with HBA1c level. Meanwhile, a negative correlation was observed on HDL-C with the HBA1c level. Only TC/HDL-C ratio and LDL-C/HDL-C ratio parameters may be used as predictive models (AUC>0.7), with cutoff point, sensitivity, and specificity of 4.68 (77%; 52%) and 3.06 (98%; 56%) respectively. A risk analysis model shows that the LDL-C/HDL-C ratio parameter is the most influential risk factor in the occurrence of poor glycemic control (adjusted OR =38.76; 95% CI: 27.32-56.64; p<0.001). Conclusion: Lipid profiles (LDL-C) and lipid ratios (LDL-C/HDL-C and TC/HDL-C ratio) show potential markers that can be used in predicting glycemic control in patients with T2DM.

Keywords: diabetes; dyslipidemia; glycemic; risk.

PubMed Disclaimer

Conflict of interest statement

The authors declare there are no conflicts of interest regarding all elements in this study.

Figures

Figure 1
Figure 1
ROC analysis of lipid profile and lipid ratio as a predictive marker for glycemic control in type 2 diabetes mellitus.
None

References

    1. Suresh K, Sandhya AM. A study on glycemic, lipid and blood pressure control among type 2 diabetes patients of north Kerala, India. Indian Heart J. 2018;70:482–485. doi:10.1016/j.ihj.2017.10.007 - DOI - PMC - PubMed
    1. Maratni NPT, Sindhughosa DA, Mardewi IGA, Manuaba IBAP, Saraswati MR. Individual lipids and lipid ratio in type-2 diabetic patients: association with glycemic control status. Recent Adv Biol Med. 2017;3:42–47. doi:10.18639/RABM.2017.03.455029 - DOI
    1. Ginsberg HN, Elam MB, Lovato LC, et al. ACCORD study group. Effects of combination lipid therapy in type 2 diabetes mellitus. N Engl J Med. 2010;362(17):1563–1574. doi:10.1056/NEJMoa1001282 - DOI - PMC - PubMed
    1. Rosediani M, Azidah AK, Mafauzy M. Correlation between fasting plasma glucose, post prandial glucoseand glycated haemoglobin and fructosamine. Med J Malaysia. 2006;61:67–71. - PubMed
    1. Mahato RV, Gyawali P, Raut PP, Regmi P, Singh KP, Gyawali P. Association between glycemic control and serum lipid profile in type 2 diabetes patients: glycated haemoglobin as a dual biomarkers. Biomed Res. 2011;22(3):375–380.