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Lipid ratios and appropriate cut off values for prediction of diabetes: a cohort of Iranian men and women

BACKGROUND: Dyslipidemia is a risk factor for incident type 2 diabetes; however, no study has specifically assessed the lipid ratios (i.e. total cholesterol (TC)/high density lipoprotein cholesterol (HDL-C) and triglyceride (TG)/HDL-C) as predictors of diabetes. We aimed to compare the independent a...

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Autores principales: Hadaegh, Farzad, Hatami, Masumeh, Tohidi, Maryam, Sarbakhsh, Parvin, Saadat, Navid, Azizi, Feridoun
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2933665/
https://www.ncbi.nlm.nih.gov/pubmed/20712907
http://dx.doi.org/10.1186/1476-511X-9-85
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author Hadaegh, Farzad
Hatami, Masumeh
Tohidi, Maryam
Sarbakhsh, Parvin
Saadat, Navid
Azizi, Feridoun
author_facet Hadaegh, Farzad
Hatami, Masumeh
Tohidi, Maryam
Sarbakhsh, Parvin
Saadat, Navid
Azizi, Feridoun
author_sort Hadaegh, Farzad
collection PubMed
description BACKGROUND: Dyslipidemia is a risk factor for incident type 2 diabetes; however, no study has specifically assessed the lipid ratios (i.e. total cholesterol (TC)/high density lipoprotein cholesterol (HDL-C) and triglyceride (TG)/HDL-C) as predictors of diabetes. We aimed to compare the independent association between the different lipid measures with incident diabetes over a median follow up of 6.4 years in Iranian men and women. METHOD: The study population consisted of 5201 non diabetic (men = 2173, women = 3028) subjects, aged ≥20 years. The risk factor adjusted odds ratios (ORs) for diabetes were calculated for every 1 standard deviation (SD) change in TC, log-transformed TG, HDL-C, non-HDL-C, TC/HDL-C and log-transformed TG/HDL-C using multivariate logistic regression analysis. Receiver operator characteristic (ROC) curve analysis was used to define the points of the maximum sum of sensitivity and specificity (MAXss) of each lipid measure as a predictor of diabetes. RESULT: We found 366 (146 men and 220 women) new diabetes cases during follow-up. The risk-factor-adjusted ORs for a 1 SD increase in TG, TC/HDL-C and TG/HDL-C were 1.23, 1.27 and 1.25 in men; the corresponding risks in females were 1.36, 1.14, 1.39 respectively (all p < 0.05, except TC/HDL-C in females which was marginally significant, p = 0.07). A 1 SD increase of HDL-C only in women decreased the risk of diabetes by 25% [0.75(0.64-0.89)]. In both genders, there was no difference in the discriminatory power of different lipid measures to predict incident diabetes in the risk factor adjusted models (ROC ≈ 82%). TG cutoff values of 1.98 and 1.66 mmol/l; TG/HDL-C cutoff values of 4.7 and 3.7, in men and women, respectively, TC/HDL-C cutoff value of 5.3 in both genders and HDL-C cutoff value of 1.18 mmol/l in women yielded the MAXss for defining the incidence of diabetes. CONCLUSION: TC/HDL-C and TG/HDL-C showed similar performance for diabetes prediction in men population however; among women TG/HDL-C highlighted higher risk than did TC/HDL-C, although there was no difference in discriminatory power. Importantly, HDL-C had a protective effect for incident diabetes only among women.
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spelling pubmed-29336652010-09-07 Lipid ratios and appropriate cut off values for prediction of diabetes: a cohort of Iranian men and women Hadaegh, Farzad Hatami, Masumeh Tohidi, Maryam Sarbakhsh, Parvin Saadat, Navid Azizi, Feridoun Lipids Health Dis Research BACKGROUND: Dyslipidemia is a risk factor for incident type 2 diabetes; however, no study has specifically assessed the lipid ratios (i.e. total cholesterol (TC)/high density lipoprotein cholesterol (HDL-C) and triglyceride (TG)/HDL-C) as predictors of diabetes. We aimed to compare the independent association between the different lipid measures with incident diabetes over a median follow up of 6.4 years in Iranian men and women. METHOD: The study population consisted of 5201 non diabetic (men = 2173, women = 3028) subjects, aged ≥20 years. The risk factor adjusted odds ratios (ORs) for diabetes were calculated for every 1 standard deviation (SD) change in TC, log-transformed TG, HDL-C, non-HDL-C, TC/HDL-C and log-transformed TG/HDL-C using multivariate logistic regression analysis. Receiver operator characteristic (ROC) curve analysis was used to define the points of the maximum sum of sensitivity and specificity (MAXss) of each lipid measure as a predictor of diabetes. RESULT: We found 366 (146 men and 220 women) new diabetes cases during follow-up. The risk-factor-adjusted ORs for a 1 SD increase in TG, TC/HDL-C and TG/HDL-C were 1.23, 1.27 and 1.25 in men; the corresponding risks in females were 1.36, 1.14, 1.39 respectively (all p < 0.05, except TC/HDL-C in females which was marginally significant, p = 0.07). A 1 SD increase of HDL-C only in women decreased the risk of diabetes by 25% [0.75(0.64-0.89)]. In both genders, there was no difference in the discriminatory power of different lipid measures to predict incident diabetes in the risk factor adjusted models (ROC ≈ 82%). TG cutoff values of 1.98 and 1.66 mmol/l; TG/HDL-C cutoff values of 4.7 and 3.7, in men and women, respectively, TC/HDL-C cutoff value of 5.3 in both genders and HDL-C cutoff value of 1.18 mmol/l in women yielded the MAXss for defining the incidence of diabetes. CONCLUSION: TC/HDL-C and TG/HDL-C showed similar performance for diabetes prediction in men population however; among women TG/HDL-C highlighted higher risk than did TC/HDL-C, although there was no difference in discriminatory power. Importantly, HDL-C had a protective effect for incident diabetes only among women. BioMed Central 2010-08-17 /pmc/articles/PMC2933665/ /pubmed/20712907 http://dx.doi.org/10.1186/1476-511X-9-85 Text en Copyright ©2010 Hadaegh et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Hadaegh, Farzad
Hatami, Masumeh
Tohidi, Maryam
Sarbakhsh, Parvin
Saadat, Navid
Azizi, Feridoun
Lipid ratios and appropriate cut off values for prediction of diabetes: a cohort of Iranian men and women
title Lipid ratios and appropriate cut off values for prediction of diabetes: a cohort of Iranian men and women
title_full Lipid ratios and appropriate cut off values for prediction of diabetes: a cohort of Iranian men and women
title_fullStr Lipid ratios and appropriate cut off values for prediction of diabetes: a cohort of Iranian men and women
title_full_unstemmed Lipid ratios and appropriate cut off values for prediction of diabetes: a cohort of Iranian men and women
title_short Lipid ratios and appropriate cut off values for prediction of diabetes: a cohort of Iranian men and women
title_sort lipid ratios and appropriate cut off values for prediction of diabetes: a cohort of iranian men and women
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2933665/
https://www.ncbi.nlm.nih.gov/pubmed/20712907
http://dx.doi.org/10.1186/1476-511X-9-85
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