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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

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 retrosp...

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Autores principales: Artha, I Made Junior Rina, Bhargah, Agha, Dharmawan, Nyoman Khrisna, Pande, Utami Wijayaswari, Triyana, Komang Agus, Mahariski, Pande Agung, Yuwono, Jessica, Bhargah, Varennia, Prabawa, I Putu Yuda, Manuaba, Ida Bagus Amertha Putra, Rina, I Ketut
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6560183/
https://www.ncbi.nlm.nih.gov/pubmed/31239693
http://dx.doi.org/10.2147/VHRM.S209830
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author Artha, I Made Junior Rina
Bhargah, Agha
Dharmawan, Nyoman Khrisna
Pande, Utami Wijayaswari
Triyana, Komang Agus
Mahariski, Pande Agung
Yuwono, Jessica
Bhargah, Varennia
Prabawa, I Putu Yuda
Manuaba, Ida Bagus Amertha Putra
Rina, I Ketut
author_facet Artha, I Made Junior Rina
Bhargah, Agha
Dharmawan, Nyoman Khrisna
Pande, Utami Wijayaswari
Triyana, Komang Agus
Mahariski, Pande Agung
Yuwono, Jessica
Bhargah, Varennia
Prabawa, I Putu Yuda
Manuaba, Ida Bagus Amertha Putra
Rina, I Ketut
author_sort Artha, I Made Junior Rina
collection PubMed
description 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.
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spelling pubmed-65601832019-06-25 High level of individual lipid profile and lipid ratio as a predictive marker of poor glycemic control in type-2 diabetes mellitus Artha, I Made Junior Rina Bhargah, Agha Dharmawan, Nyoman Khrisna Pande, Utami Wijayaswari Triyana, Komang Agus Mahariski, Pande Agung Yuwono, Jessica Bhargah, Varennia Prabawa, I Putu Yuda Manuaba, Ida Bagus Amertha Putra Rina, I Ketut Vasc Health Risk Manag Original Research 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. Dove 2019-06-05 /pmc/articles/PMC6560183/ /pubmed/31239693 http://dx.doi.org/10.2147/VHRM.S209830 Text en © 2019 Artha et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Artha, I Made Junior Rina
Bhargah, Agha
Dharmawan, Nyoman Khrisna
Pande, Utami Wijayaswari
Triyana, Komang Agus
Mahariski, Pande Agung
Yuwono, Jessica
Bhargah, Varennia
Prabawa, I Putu Yuda
Manuaba, Ida Bagus Amertha Putra
Rina, I Ketut
High level of individual lipid profile and lipid ratio as a predictive marker of poor glycemic control in type-2 diabetes mellitus
title High level of individual lipid profile and lipid ratio as a predictive marker of poor glycemic control in type-2 diabetes mellitus
title_full High level of individual lipid profile and lipid ratio as a predictive marker of poor glycemic control in type-2 diabetes mellitus
title_fullStr High level of individual lipid profile and lipid ratio as a predictive marker of poor glycemic control in type-2 diabetes mellitus
title_full_unstemmed High level of individual lipid profile and lipid ratio as a predictive marker of poor glycemic control in type-2 diabetes mellitus
title_short High level of individual lipid profile and lipid ratio as a predictive marker of poor glycemic control in type-2 diabetes mellitus
title_sort high level of individual lipid profile and lipid ratio as a predictive marker of poor glycemic control in type-2 diabetes mellitus
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6560183/
https://www.ncbi.nlm.nih.gov/pubmed/31239693
http://dx.doi.org/10.2147/VHRM.S209830
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