The performance of lipid profiles and ratios as a predictor of arterial stiffness measured by brachial-ankle pulse wave velocity in type 2 diabetic patients

Background: Early identification of arterial stiffness in Type 2 diabetes mellitus (T2DM) patients before the manifestation of atherosclerosis would be clinically beneficial. Our study aimed to explore the correlation of lipid profiles and ratios with arterial stiffness, and construct a predictive m...

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Main Authors: Soebagijo Adi Soelistijo, Soebagijo, Robert Dwitama Adiwinoto, -, Agung Pranoto, -, Deasy Ardiany, -
Format: Article PeerReviewed
Language:English
Indonesian
English
English
Published: Taylor & Francis
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https://repository.unair.ac.id/130890/
https://f1000research.com/articles/11-1582
https://doi.org/10.12688/f1000research.128627.2
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spelling id-langga.1308902024-03-05T01:49:31Z https://repository.unair.ac.id/130890/ The performance of lipid profiles and ratios as a predictor of arterial stiffness measured by brachial-ankle pulse wave velocity in type 2 diabetic patients Soebagijo Adi Soelistijo, Soebagijo Robert Dwitama Adiwinoto, - Agung Pranoto, - Deasy Ardiany, - R5-920 Medicine (General) Background: Early identification of arterial stiffness in Type 2 diabetes mellitus (T2DM) patients before the manifestation of atherosclerosis would be clinically beneficial. Our study aimed to explore the correlation of lipid profiles and ratios with arterial stiffness, and construct a predictive model for arterial stiffness in T2DM patients using those parameters. Methods: One hundred and eighty-four adult T2DM patients in the diabetes outpatient clinic at the Dr. Soetomo general academic hospital were enrolled in this cross-sectional study in 2015 and 2019. Sociodemographic, glycosylated hemoglobin (HbA1c), lipid profiles, and brachial-ankle pulse wave velocity (ba-PWV) data were collected from all subjects. The subjects were divided into a group with arterial stiffness (ba-PWV > 18 m/sec) and without arterial stiffness (ba-PWV ≤ 18 m/sec). A correlation test was used to evaluate the association, and receiver operator characteristics (ROC) curves analysis were used to determine the cut-off value, sensitivity, and specificity. The risk analysis model was calculated using bivariate logistic regression analysis. Results: The group with arterial stiffness had higher lipid profiles: total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and lipid ratios. A significant positive correlation was found between TC, TG, LDL-C, and all lipid ratios with ba-PWV. A negative correlation was found between HDL-C and ba-PWV. All lipid ratio parameters can be used as predictors of arterial stiffness, especially non-HDL-C with cut-off value: 150 mg/dL (sensitivity 96.8% and specificity 52.9%) and TG/HDL-C ratio with cut-off value: 4.51 (sensitivity 81.0% and specificity 74.2%). Elevated TG/HDL-C ratio and non-HDL-C displayed higher risk (OR: 12.293 and 16.312; p < 0.05) of having arterial stiffness compared to other lipid ratios. Conclusions: Lipid profiles and lipid ratios, especially TG/HDL-C ratio and non-HDL-C, are potential biochemical markers for arterial stiffness in T2DM patients. Taylor & Francis Article PeerReviewed text en https://repository.unair.ac.id/130890/1/02.%20Artikel.pdf text id https://repository.unair.ac.id/130890/2/2%20karil.pdf text en https://repository.unair.ac.id/130890/3/02.%20turnitin.pdf text en https://repository.unair.ac.id/130890/4/02.%20korespondensi.pdf Soebagijo Adi Soelistijo, Soebagijo and Robert Dwitama Adiwinoto, - and Agung Pranoto, - and Deasy Ardiany, - The performance of lipid profiles and ratios as a predictor of arterial stiffness measured by brachial-ankle pulse wave velocity in type 2 diabetic patients. F1000Research, 11. ISSN 2046-1402 https://f1000research.com/articles/11-1582 https://doi.org/10.12688/f1000research.128627.2
institution Universitas Airlangga
building Universitas Airlangga Library
continent Asia
country Indonesia
Indonesia
content_provider Universitas Airlangga Library
collection UNAIR Repository
language English
Indonesian
English
English
topic R5-920 Medicine (General)
spellingShingle R5-920 Medicine (General)
Soebagijo Adi Soelistijo, Soebagijo
Robert Dwitama Adiwinoto, -
Agung Pranoto, -
Deasy Ardiany, -
The performance of lipid profiles and ratios as a predictor of arterial stiffness measured by brachial-ankle pulse wave velocity in type 2 diabetic patients
description Background: Early identification of arterial stiffness in Type 2 diabetes mellitus (T2DM) patients before the manifestation of atherosclerosis would be clinically beneficial. Our study aimed to explore the correlation of lipid profiles and ratios with arterial stiffness, and construct a predictive model for arterial stiffness in T2DM patients using those parameters. Methods: One hundred and eighty-four adult T2DM patients in the diabetes outpatient clinic at the Dr. Soetomo general academic hospital were enrolled in this cross-sectional study in 2015 and 2019. Sociodemographic, glycosylated hemoglobin (HbA1c), lipid profiles, and brachial-ankle pulse wave velocity (ba-PWV) data were collected from all subjects. The subjects were divided into a group with arterial stiffness (ba-PWV > 18 m/sec) and without arterial stiffness (ba-PWV ≤ 18 m/sec). A correlation test was used to evaluate the association, and receiver operator characteristics (ROC) curves analysis were used to determine the cut-off value, sensitivity, and specificity. The risk analysis model was calculated using bivariate logistic regression analysis. Results: The group with arterial stiffness had higher lipid profiles: total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and lipid ratios. A significant positive correlation was found between TC, TG, LDL-C, and all lipid ratios with ba-PWV. A negative correlation was found between HDL-C and ba-PWV. All lipid ratio parameters can be used as predictors of arterial stiffness, especially non-HDL-C with cut-off value: 150 mg/dL (sensitivity 96.8% and specificity 52.9%) and TG/HDL-C ratio with cut-off value: 4.51 (sensitivity 81.0% and specificity 74.2%). Elevated TG/HDL-C ratio and non-HDL-C displayed higher risk (OR: 12.293 and 16.312; p < 0.05) of having arterial stiffness compared to other lipid ratios. Conclusions: Lipid profiles and lipid ratios, especially TG/HDL-C ratio and non-HDL-C, are potential biochemical markers for arterial stiffness in T2DM patients.
format Article
PeerReviewed
author Soebagijo Adi Soelistijo, Soebagijo
Robert Dwitama Adiwinoto, -
Agung Pranoto, -
Deasy Ardiany, -
author_facet Soebagijo Adi Soelistijo, Soebagijo
Robert Dwitama Adiwinoto, -
Agung Pranoto, -
Deasy Ardiany, -
author_sort Soebagijo Adi Soelistijo, Soebagijo
title The performance of lipid profiles and ratios as a predictor of arterial stiffness measured by brachial-ankle pulse wave velocity in type 2 diabetic patients
title_short The performance of lipid profiles and ratios as a predictor of arterial stiffness measured by brachial-ankle pulse wave velocity in type 2 diabetic patients
title_full The performance of lipid profiles and ratios as a predictor of arterial stiffness measured by brachial-ankle pulse wave velocity in type 2 diabetic patients
title_fullStr The performance of lipid profiles and ratios as a predictor of arterial stiffness measured by brachial-ankle pulse wave velocity in type 2 diabetic patients
title_full_unstemmed The performance of lipid profiles and ratios as a predictor of arterial stiffness measured by brachial-ankle pulse wave velocity in type 2 diabetic patients
title_sort performance of lipid profiles and ratios as a predictor of arterial stiffness measured by brachial-ankle pulse wave velocity in type 2 diabetic patients
publisher Taylor & Francis
url https://repository.unair.ac.id/130890/1/02.%20Artikel.pdf
https://repository.unair.ac.id/130890/2/2%20karil.pdf
https://repository.unair.ac.id/130890/3/02.%20turnitin.pdf
https://repository.unair.ac.id/130890/4/02.%20korespondensi.pdf
https://repository.unair.ac.id/130890/
https://f1000research.com/articles/11-1582
https://doi.org/10.12688/f1000research.128627.2
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