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Cardiovascular Disease Risk Assessment: Triglyceride/High-Density Lipoprotein versus Metabolic Syndrome Criteria

Background: As finding subjects at risk of cardiovascular diseases based on the presence of metabolic syndrome (MetS) is time-consuming for physicians, we aimed to compare the effectiveness of triglyceride (TG)/high-density lipoprotein cholesterol (HDL-C) compared to MetS criteria in identifying hig...

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Autores principales: Gharipour, Mojgan, Sadeghi, Masoumeh, Nezafati, Pouya, Dianatkhah, Minoo, Sarrafzadegan, Nizal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hamadan University of Medical Sciences 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7183547/
https://www.ncbi.nlm.nih.gov/pubmed/31278212
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author Gharipour, Mojgan
Sadeghi, Masoumeh
Nezafati, Pouya
Dianatkhah, Minoo
Sarrafzadegan, Nizal
author_facet Gharipour, Mojgan
Sadeghi, Masoumeh
Nezafati, Pouya
Dianatkhah, Minoo
Sarrafzadegan, Nizal
author_sort Gharipour, Mojgan
collection PubMed
description Background: As finding subjects at risk of cardiovascular diseases based on the presence of metabolic syndrome (MetS) is time-consuming for physicians, we aimed to compare the effectiveness of triglyceride (TG)/high-density lipoprotein cholesterol (HDL-C) compared to MetS criteria in identifying high-risk individuals. Study design: A prospective cohort study. Methods: Isfahan cohort study was a longitudinal population-based study conducted on adults aged 35 yr or older, living in three districts in central part of Iran from Jan 2, 2001 to Sep 28, 2001. After 10 years of follow-up, participants were re-evaluated. The hazard ratio (HR) for cardiovascular disease events based on TG/HDL-C, sex-specific cut-off points, and MetS were also estimated. Akaike’s information criteria (AIC) were used as indicators of the goodness of fit of the model and prediction error. Results: TG/HDL-C alternate cut-off points of 3.76 and 4.42 had a strong predictive value for CVD events but did not perform as well as MetS criteria. The unadjusted HR was greatest in the high-risk individuals by the MetS criteria (HR=2.08, 95% CI: 1.80, 2.41) compared to those identified as high-risks by the TG/HDL cut-off points and continued to be greatest after adjustments in different models. Based on the AIC, the best model is adjusted for sex, age, diabetes, total cholesterol levels, current smoker, diet, physical activity, and BMI. Conclusion: MetS criteria appears to be a superior marker compared to TC/HDL-C to identify patients at cardiovascular risk, though lipid ratio also shows a remarkable predictive value and could be considered to achieve this goal when appropriate.
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spelling pubmed-71835472020-05-11 Cardiovascular Disease Risk Assessment: Triglyceride/High-Density Lipoprotein versus Metabolic Syndrome Criteria Gharipour, Mojgan Sadeghi, Masoumeh Nezafati, Pouya Dianatkhah, Minoo Sarrafzadegan, Nizal J Res Health Sci Original Article Background: As finding subjects at risk of cardiovascular diseases based on the presence of metabolic syndrome (MetS) is time-consuming for physicians, we aimed to compare the effectiveness of triglyceride (TG)/high-density lipoprotein cholesterol (HDL-C) compared to MetS criteria in identifying high-risk individuals. Study design: A prospective cohort study. Methods: Isfahan cohort study was a longitudinal population-based study conducted on adults aged 35 yr or older, living in three districts in central part of Iran from Jan 2, 2001 to Sep 28, 2001. After 10 years of follow-up, participants were re-evaluated. The hazard ratio (HR) for cardiovascular disease events based on TG/HDL-C, sex-specific cut-off points, and MetS were also estimated. Akaike’s information criteria (AIC) were used as indicators of the goodness of fit of the model and prediction error. Results: TG/HDL-C alternate cut-off points of 3.76 and 4.42 had a strong predictive value for CVD events but did not perform as well as MetS criteria. The unadjusted HR was greatest in the high-risk individuals by the MetS criteria (HR=2.08, 95% CI: 1.80, 2.41) compared to those identified as high-risks by the TG/HDL cut-off points and continued to be greatest after adjustments in different models. Based on the AIC, the best model is adjusted for sex, age, diabetes, total cholesterol levels, current smoker, diet, physical activity, and BMI. Conclusion: MetS criteria appears to be a superior marker compared to TC/HDL-C to identify patients at cardiovascular risk, though lipid ratio also shows a remarkable predictive value and could be considered to achieve this goal when appropriate. Hamadan University of Medical Sciences 2019-05-13 /pmc/articles/PMC7183547/ /pubmed/31278212 Text en © 2019 The Author(s); Published by Hamadan University of Medical Sciences. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Gharipour, Mojgan
Sadeghi, Masoumeh
Nezafati, Pouya
Dianatkhah, Minoo
Sarrafzadegan, Nizal
Cardiovascular Disease Risk Assessment: Triglyceride/High-Density Lipoprotein versus Metabolic Syndrome Criteria
title Cardiovascular Disease Risk Assessment: Triglyceride/High-Density Lipoprotein versus Metabolic Syndrome Criteria
title_full Cardiovascular Disease Risk Assessment: Triglyceride/High-Density Lipoprotein versus Metabolic Syndrome Criteria
title_fullStr Cardiovascular Disease Risk Assessment: Triglyceride/High-Density Lipoprotein versus Metabolic Syndrome Criteria
title_full_unstemmed Cardiovascular Disease Risk Assessment: Triglyceride/High-Density Lipoprotein versus Metabolic Syndrome Criteria
title_short Cardiovascular Disease Risk Assessment: Triglyceride/High-Density Lipoprotein versus Metabolic Syndrome Criteria
title_sort cardiovascular disease risk assessment: triglyceride/high-density lipoprotein versus metabolic syndrome criteria
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7183547/
https://www.ncbi.nlm.nih.gov/pubmed/31278212
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