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Correlation between Glycated Hemoglobin and Triglyceride Level in Type 2 Diabetes Mellitus

CONTEXT: Dyslipidemia is quite prevalent in non-insulin dependent diabetes mellitus. Maintaining tight glycemic along with lipid control plays an essential role in preventing micro- and macro-vascular complications associated with diabetes.  PURPOSE: The main purpose of the study was to highlight th...

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Autores principales: Naqvi, Syeda, Naveed, Shabnam, Ali, Zeeshan, Ahmad, Syed Masroor, Asadullah Khan, Raad, Raj, Honey, Shariff, Shoaib, Rupareliya, Chintan, Zahra, Fatima, Khan, Saba
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5509244/
https://www.ncbi.nlm.nih.gov/pubmed/28713663
http://dx.doi.org/10.7759/cureus.1347
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author Naqvi, Syeda
Naveed, Shabnam
Ali, Zeeshan
Ahmad, Syed Masroor
Asadullah Khan, Raad
Raj, Honey
Shariff, Shoaib
Rupareliya, Chintan
Zahra, Fatima
Khan, Saba
author_facet Naqvi, Syeda
Naveed, Shabnam
Ali, Zeeshan
Ahmad, Syed Masroor
Asadullah Khan, Raad
Raj, Honey
Shariff, Shoaib
Rupareliya, Chintan
Zahra, Fatima
Khan, Saba
author_sort Naqvi, Syeda
collection PubMed
description CONTEXT: Dyslipidemia is quite prevalent in non-insulin dependent diabetes mellitus. Maintaining tight glycemic along with lipid control plays an essential role in preventing micro- and macro-vascular complications associated with diabetes.  PURPOSE: The main purpose of the study was to highlight the relationship between glycosylated hemoglobin (HbA1c) and triglyceride levels. This may in turn help in predicting the triglyceride status of type 2 diabetics and therefore identifying patients at increased risk from cardiovascular events. Hypertriglyceridemia is one of the common risk factors for coronary artery disease in type 2 diabetes mellitus (DM). Careful monitoring of the blood glucose level can be used to predict lipid status and can prevent most of the complications associated with the disease. METHOD: This is a cross-sectional study using data collected from the outpatient diabetic clinic of Jinnah Postgraduate Medical Centre (JPMC) Karachi, Pakistan. Patients of age 18 years and above were recruited from the clinic. A total of consenting 509 patients of type 2 diabetes mellitus were enrolled over a period of 11 months.  For statistical analysis, SPSS Statistics for Windows, Version 17.0 ( IBM Corp, Armonk, New York) was used and Chi-square and Pearson’s correlation coefficient was used to find the association between triglyceride and HbA1c. The HbA1c was dichotomized into four groups on the basis of cut-off. Chi-square was used for association between HbA1c with various cut-off values and high triglyceride levels. Odds-ratio and its 95% confidence interval were calculated to estimate the level of risk between high triglyceride levels and HbA1c groups. The p-value < 0.05 was considered statistically significant for all the tests applied for significance. RESULT: The association of high triglyceride was evaluated in four different groups of HbA1c, with a cut-off seven, eight, nine and 10 respectively. With HbA1c cut-off value of 7%, 74% patients had high triglycerides and showed a significant association with high triglyceride levels at p < 0.001 and odds ratio was 2.038 (95% confidence interval: 1.397 – 2.972). Logistic regression models were adjusted for demographic factors (age, race, gender), lifestyle factors (smoking, body mass index, lifestyle) and health status factors (blood pressure, physician-rated health status). CONCLUSION: After adjusting for relevant covariates, glycated hemoglobin was positively correlated with high triglyceride. Hence, HbA1c can be an indicator of triglyceride level and can be one of the predictors of cardiovascular risk factors in type 2 diabetes mellitus.
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spelling pubmed-55092442017-07-14 Correlation between Glycated Hemoglobin and Triglyceride Level in Type 2 Diabetes Mellitus Naqvi, Syeda Naveed, Shabnam Ali, Zeeshan Ahmad, Syed Masroor Asadullah Khan, Raad Raj, Honey Shariff, Shoaib Rupareliya, Chintan Zahra, Fatima Khan, Saba Cureus Diabetes & Endocrinology CONTEXT: Dyslipidemia is quite prevalent in non-insulin dependent diabetes mellitus. Maintaining tight glycemic along with lipid control plays an essential role in preventing micro- and macro-vascular complications associated with diabetes.  PURPOSE: The main purpose of the study was to highlight the relationship between glycosylated hemoglobin (HbA1c) and triglyceride levels. This may in turn help in predicting the triglyceride status of type 2 diabetics and therefore identifying patients at increased risk from cardiovascular events. Hypertriglyceridemia is one of the common risk factors for coronary artery disease in type 2 diabetes mellitus (DM). Careful monitoring of the blood glucose level can be used to predict lipid status and can prevent most of the complications associated with the disease. METHOD: This is a cross-sectional study using data collected from the outpatient diabetic clinic of Jinnah Postgraduate Medical Centre (JPMC) Karachi, Pakistan. Patients of age 18 years and above were recruited from the clinic. A total of consenting 509 patients of type 2 diabetes mellitus were enrolled over a period of 11 months.  For statistical analysis, SPSS Statistics for Windows, Version 17.0 ( IBM Corp, Armonk, New York) was used and Chi-square and Pearson’s correlation coefficient was used to find the association between triglyceride and HbA1c. The HbA1c was dichotomized into four groups on the basis of cut-off. Chi-square was used for association between HbA1c with various cut-off values and high triglyceride levels. Odds-ratio and its 95% confidence interval were calculated to estimate the level of risk between high triglyceride levels and HbA1c groups. The p-value < 0.05 was considered statistically significant for all the tests applied for significance. RESULT: The association of high triglyceride was evaluated in four different groups of HbA1c, with a cut-off seven, eight, nine and 10 respectively. With HbA1c cut-off value of 7%, 74% patients had high triglycerides and showed a significant association with high triglyceride levels at p < 0.001 and odds ratio was 2.038 (95% confidence interval: 1.397 – 2.972). Logistic regression models were adjusted for demographic factors (age, race, gender), lifestyle factors (smoking, body mass index, lifestyle) and health status factors (blood pressure, physician-rated health status). CONCLUSION: After adjusting for relevant covariates, glycated hemoglobin was positively correlated with high triglyceride. Hence, HbA1c can be an indicator of triglyceride level and can be one of the predictors of cardiovascular risk factors in type 2 diabetes mellitus. Cureus 2017-06-13 /pmc/articles/PMC5509244/ /pubmed/28713663 http://dx.doi.org/10.7759/cureus.1347 Text en Copyright © 2017, Naqvi et al. http://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Diabetes & Endocrinology
Naqvi, Syeda
Naveed, Shabnam
Ali, Zeeshan
Ahmad, Syed Masroor
Asadullah Khan, Raad
Raj, Honey
Shariff, Shoaib
Rupareliya, Chintan
Zahra, Fatima
Khan, Saba
Correlation between Glycated Hemoglobin and Triglyceride Level in Type 2 Diabetes Mellitus
title Correlation between Glycated Hemoglobin and Triglyceride Level in Type 2 Diabetes Mellitus
title_full Correlation between Glycated Hemoglobin and Triglyceride Level in Type 2 Diabetes Mellitus
title_fullStr Correlation between Glycated Hemoglobin and Triglyceride Level in Type 2 Diabetes Mellitus
title_full_unstemmed Correlation between Glycated Hemoglobin and Triglyceride Level in Type 2 Diabetes Mellitus
title_short Correlation between Glycated Hemoglobin and Triglyceride Level in Type 2 Diabetes Mellitus
title_sort correlation between glycated hemoglobin and triglyceride level in type 2 diabetes mellitus
topic Diabetes & Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5509244/
https://www.ncbi.nlm.nih.gov/pubmed/28713663
http://dx.doi.org/10.7759/cureus.1347
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