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Assessment of Dyslipidemia, Lipid Ratios, and Atherogenic Indices as Cardiovascular Risk Factors in Prediabetic and Diabetic Subjects
Background Uttarakhand is a small state in northern India that comprises mixed population with people dwelling in both hilly and plain areas. Globally, diabetes mellitus (DM) has already been considered to be a pandemic. Furthermore, cardiovascular diseases (CVD) significantly increase mortality an...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Thieme Medical and Scientific Publishers Pvt. Ltd.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9750737/ https://www.ncbi.nlm.nih.gov/pubmed/36531545 http://dx.doi.org/10.1055/s-0042-1744240 |
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author | Rathi, Himani Kumar, Raman Goyal, Bela Kant, Ravi Mirza, Anissa Atif Rana, Satyavati Naithani, Manisha |
author_facet | Rathi, Himani Kumar, Raman Goyal, Bela Kant, Ravi Mirza, Anissa Atif Rana, Satyavati Naithani, Manisha |
author_sort | Rathi, Himani |
collection | PubMed |
description | Background Uttarakhand is a small state in northern India that comprises mixed population with people dwelling in both hilly and plain areas. Globally, diabetes mellitus (DM) has already been considered to be a pandemic. Furthermore, cardiovascular diseases (CVD) significantly increase mortality and morbidity in patients suffering from DM. Additionally, dyslipidemia has been identified as an important marker in the development of atherosclerosis and ultimately CVD in patients of prediabetes and diabetes. Thus, the identification of subjects with dyslipidemia in prediabetes might be fruitful in lowering their progression to diabetes and ultimately in decreasing incidences of CVD. Hence, this study was undertaken to assess dyslipidemia via the calculation of atherogenic indices (AI) and lipid ratios in prediabetic and diabetic groups attending tertiary care hospital in Uttarakhand. Materials and Methods This study reviewed retrospective biochemical data of 500 study subjects from e-hospital software of the All India Institute of Medical Sciences, Rishikesh. All study subjects were divided into three groups: 122 controls, 137 prediabetics, and 241 diabetics based on the American Diabetes Association criteria. Study subjects were evaluated for glycated hemoglobin (HbA1c), lipid profile, and AI (total cholesterol [TC]/high-density lipoprotein cholesterol [HDLc], low-density lipoprotein cholesterol [LDLc]/HDLc, TC-HDLc/HDLc, triglycerides [TG]/HDLc). Results Results showed that TC, TG, LDLc, and AI were significantly higher, and HDLc was significantly decreased in prediabetic and diabetic groups compared with controls. Furthermore, HbA1c showed significant positive correlation with lipid profile and AI except atherogenic coefficient (TC-HDL/HDL). Conclusion In conclusion, the current study showed the presence of dyslipidemia in both prediabetic and diabetic groups underlining their importance for screening at the prediabetic stage. Hence, we also recommend screening of the prediabetic group for dyslipidemia to arrest the development of early cardiovascular complications. |
format | Online Article Text |
id | pubmed-9750737 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Thieme Medical and Scientific Publishers Pvt. Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97507372022-12-15 Assessment of Dyslipidemia, Lipid Ratios, and Atherogenic Indices as Cardiovascular Risk Factors in Prediabetic and Diabetic Subjects Rathi, Himani Kumar, Raman Goyal, Bela Kant, Ravi Mirza, Anissa Atif Rana, Satyavati Naithani, Manisha J Lab Physicians Background Uttarakhand is a small state in northern India that comprises mixed population with people dwelling in both hilly and plain areas. Globally, diabetes mellitus (DM) has already been considered to be a pandemic. Furthermore, cardiovascular diseases (CVD) significantly increase mortality and morbidity in patients suffering from DM. Additionally, dyslipidemia has been identified as an important marker in the development of atherosclerosis and ultimately CVD in patients of prediabetes and diabetes. Thus, the identification of subjects with dyslipidemia in prediabetes might be fruitful in lowering their progression to diabetes and ultimately in decreasing incidences of CVD. Hence, this study was undertaken to assess dyslipidemia via the calculation of atherogenic indices (AI) and lipid ratios in prediabetic and diabetic groups attending tertiary care hospital in Uttarakhand. Materials and Methods This study reviewed retrospective biochemical data of 500 study subjects from e-hospital software of the All India Institute of Medical Sciences, Rishikesh. All study subjects were divided into three groups: 122 controls, 137 prediabetics, and 241 diabetics based on the American Diabetes Association criteria. Study subjects were evaluated for glycated hemoglobin (HbA1c), lipid profile, and AI (total cholesterol [TC]/high-density lipoprotein cholesterol [HDLc], low-density lipoprotein cholesterol [LDLc]/HDLc, TC-HDLc/HDLc, triglycerides [TG]/HDLc). Results Results showed that TC, TG, LDLc, and AI were significantly higher, and HDLc was significantly decreased in prediabetic and diabetic groups compared with controls. Furthermore, HbA1c showed significant positive correlation with lipid profile and AI except atherogenic coefficient (TC-HDL/HDL). Conclusion In conclusion, the current study showed the presence of dyslipidemia in both prediabetic and diabetic groups underlining their importance for screening at the prediabetic stage. Hence, we also recommend screening of the prediabetic group for dyslipidemia to arrest the development of early cardiovascular complications. Thieme Medical and Scientific Publishers Pvt. Ltd. 2022-09-09 /pmc/articles/PMC9750737/ /pubmed/36531545 http://dx.doi.org/10.1055/s-0042-1744240 Text en The Indian Association of Laboratory Physicians. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. ( https://creativecommons.org/licenses/by-nc-nd/4.0/ ) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License, which permits unrestricted reproduction and distribution, for non-commercial purposes only; and use and reproduction, but not distribution, of adapted material for non-commercial purposes only, provided the original work is properly cited. |
spellingShingle | Rathi, Himani Kumar, Raman Goyal, Bela Kant, Ravi Mirza, Anissa Atif Rana, Satyavati Naithani, Manisha Assessment of Dyslipidemia, Lipid Ratios, and Atherogenic Indices as Cardiovascular Risk Factors in Prediabetic and Diabetic Subjects |
title | Assessment of Dyslipidemia, Lipid Ratios, and Atherogenic Indices as Cardiovascular Risk Factors in Prediabetic and Diabetic Subjects |
title_full | Assessment of Dyslipidemia, Lipid Ratios, and Atherogenic Indices as Cardiovascular Risk Factors in Prediabetic and Diabetic Subjects |
title_fullStr | Assessment of Dyslipidemia, Lipid Ratios, and Atherogenic Indices as Cardiovascular Risk Factors in Prediabetic and Diabetic Subjects |
title_full_unstemmed | Assessment of Dyslipidemia, Lipid Ratios, and Atherogenic Indices as Cardiovascular Risk Factors in Prediabetic and Diabetic Subjects |
title_short | Assessment of Dyslipidemia, Lipid Ratios, and Atherogenic Indices as Cardiovascular Risk Factors in Prediabetic and Diabetic Subjects |
title_sort | assessment of dyslipidemia, lipid ratios, and atherogenic indices as cardiovascular risk factors in prediabetic and diabetic subjects |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9750737/ https://www.ncbi.nlm.nih.gov/pubmed/36531545 http://dx.doi.org/10.1055/s-0042-1744240 |
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