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High level of individual lipid profile and lipid ratio as a predictive marker of poor glycemic control in type-2 diabetes mellitus.
Vasc Health Risk Manag. 2019; 15:149-157.VH

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.

Authors+Show Affiliations

Department of Cardiology and Vascular Medicine, Faculty of Medicine, Udayana University, Sanglah General Hospital, Denpasar, Bali, Indonesia.Department of Cardiology and Vascular Medicine, Faculty of Medicine, Udayana University, Sanglah General Hospital, Denpasar, Bali, Indonesia. Faculty of Medicine, Udayana University, Denpasar, Bali, Indonesia.Faculty of Medicine, Udayana University, Denpasar, Bali, Indonesia.Faculty of Medicine, Udayana University, Denpasar, Bali, Indonesia.Faculty of Medicine, Udayana University, Denpasar, Bali, Indonesia.Faculty of Medicine, Udayana University, Denpasar, Bali, Indonesia.Faculty of Medicine, Udayana University, Denpasar, Bali, Indonesia.Faculty of Medicine, Udayana University, Denpasar, Bali, Indonesia.Clinical Pathology Department, Faculty of Medicine, Udayana University, Sanglah General Hospital, Denpasar, Bali, Indonesia.International Ph.D Program in Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan. Medical and Health Education Unit, Faculty of Medicine, Udayana University, Denpaser, Bali, Indonesia.Cardiology Department, Puri Raharja General Hospital, Denpasar, Bali, Indonesia.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

31239693

Citation

Artha, I Made Junior Rina, et al. "High Level of Individual Lipid Profile and Lipid Ratio as a Predictive Marker of Poor Glycemic Control in Type-2 Diabetes Mellitus." Vascular Health and Risk Management, vol. 15, 2019, pp. 149-157.
Artha IMJR, Bhargah A, Dharmawan NK, et al. High level of individual lipid profile and lipid ratio as a predictive marker of poor glycemic control in type-2 diabetes mellitus. Vasc Health Risk Manag. 2019;15:149-157.
Artha, I. M. J. R., Bhargah, A., Dharmawan, N. K., Pande, U. W., Triyana, K. A., Mahariski, P. A., Yuwono, J., Bhargah, V., Prabawa, I. P. Y., Manuaba, I. B. A. P., & Rina, I. K. (2019). High level of individual lipid profile and lipid ratio as a predictive marker of poor glycemic control in type-2 diabetes mellitus. Vascular Health and Risk Management, 15, 149-157. https://doi.org/10.2147/VHRM.S209830
Artha IMJR, et al. High Level of Individual Lipid Profile and Lipid Ratio as a Predictive Marker of Poor Glycemic Control in Type-2 Diabetes Mellitus. Vasc Health Risk Manag. 2019;15:149-157. PubMed PMID: 31239693.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - High level of individual lipid profile and lipid ratio as a predictive marker of poor glycemic control in type-2 diabetes mellitus. AU - Artha,I Made Junior Rina, AU - Bhargah,Agha, AU - Dharmawan,Nyoman Khrisna, AU - Pande,Utami Wijayaswari, AU - Triyana,Komang Agus, AU - Mahariski,Pande Agung, AU - Yuwono,Jessica, AU - Bhargah,Varennia, AU - Prabawa,I Putu Yuda, AU - Manuaba,Ida Bagus Amertha Putra, AU - Rina,I Ketut, Y1 - 2019/06/05/ PY - 2019/03/24/received PY - 2019/05/03/accepted PY - 2019/6/27/entrez PY - 2019/6/27/pubmed PY - 2019/7/18/medline KW - diabetes KW - dyslipidemia KW - glycemic KW - risk SP - 149 EP - 157 JF - Vascular health and risk management JO - Vasc Health Risk Manag VL - 15 N2 - 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. SN - 1178-2048 UR - https://www.unboundmedicine.com/medline/citation/31239693/High_level_of_individual_lipid_profile_and_lipid_ratio_as_a_predictive_marker_of_poor_glycemic_control_in_type_2_diabetes_mellitus_ DB - PRIME DP - Unbound Medicine ER -