Triglyceride to high-density lipoprotein cholesterol and low-density lipoprotein cholestrol to high-density lipoprotein cholesterol ratios are predictors of cardiovascular risk in Iranian adults: Evidence from a population-based cross-sectional study

Authors

  • Behzad Heidari Mobility Impairment Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran
  • Karimollah Hajian-Tilaki Social Determinants of Health Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran
Abstract:

Background: The superiority of TG/HDL-C and LDL-C/HDL-C ratios in predicting  CVD risk is a matter of debates. Thus, the objective of this study was to compare TG/HDL-C and LDL-C to HDL-C ratios in predicting the risk of CVD events. Methods: In a population-based cross-sectional study, 567 representative participants aged 40 years or older were entered in the study in Babol, North of Iran. The demographic data, anthropometric measures, and the cardio metabolic risk factors were measured. The individual risk of CVD events was assessed by ACC/AHA risk model. ROC analysis was applied to estimate the diagnostic accuracy and the optimal cut-off points of TG/HDL-C and LDL-C/HDL-C ratios. Results: The AUC of TG/HDL-C and LDL-C/HDL-C ratios were rather similar and both parameters significantly predicted CVD risk in men comparably, and TG/HDL-C at optimal cutoff point of 3.6 produced 75% sensitivity and 39% specificity. However,in women TG/HDL-C with AUC of 0.65( p= 0.091) at optimal cutoff value of 3.4  produced a sensitivity of 82% and specificity of 51%. The LDL-C/HDL-C ratio had no discriminative ability in predicting CVD risk in women. The adjusted OR of TG/HDL-C at 2nd quartile was significant (OR=3.22, 95%CI:1.25-8.29) and a greater association was found with 3rd and 4rth quartiles Conclusion: Both TG/HDL–C and LDL-C/HDL-C ratios comparably predict CVD risk in men, whereas in women only TG/ HDL-C is a significant predictor but not LDL-C/HDL-C.  

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Journal title

volume 11  issue 1

pages  53- 61

publication date 2020-01

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