RESUMEN
Background: The use of nontraditional lipid parameters for assessing clinical conditions is emerging; however, no study has identified thresholds for those parameters for the identification of cardiovascular disease (CVD) risk. The present study aimed to establish the thresholds of nontraditional lipid parameters and test its ability to identify CVD risk factors. Methodology: A cross-sectional study in women (n = 369, age: 46 ± 13 years, body mass index (BMI): 26.31 ± 2.54 kg/m2) was conducted. Blood samples were collected and high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol, total cholesterol (TC), and triglycerides (TGs) were estimated. Subsequently, nontraditional lipid parameters were calculated, namely non-HDL-C, Castelli's Risk Index II (CRI-II), CRI-I, lipoprotein combined index (LCI), atherogenic index (AI), and AI of plasma (AIP). Results: Based on TC (≥200 mg/dL), the derived thresholds for non-HDL-C, CRI-II, CRI-I, LCI, AI, and AIP were 139 mg/dL, 2.29, 3.689, 58,066, 2.687, and 0.487, respectively. Similarly, based on the threshold of TG (≥150 mg/dL), the derived thresholds for non-HDL-C, CRI-II, CRI-I, LCI, AI, and AIP were 127 mg/dL, 2.3, 3.959, 58,251, 2.959, and 0.467, respectively. Out of considered five risk factors, non-HDL-C, CRI-II, CRI-I, LCI, and AI thresholds were capable in identifying four risk factors (physical activity, blood pressure, BMI, and age) and AIP was able to associate with two risk factors at most (blood pressure and BMI). Conclusion: The derived thresholds of nontraditional lipid parameters were capable of differentiating between CVD risk and nonrisk groups suggesting the possible use of these thresholds for studying CVD risk.
RESUMEN
Background: The ovarian follicular cell's degradation and subsequent decrease in the synthesis of estrogen results in the decreased cardiovascular protection. As a result, the incidence of cardiovascular disease (CVD) increases in postmenopausal women and is characterized by change in lipid profile. This study sought to ascertain the extent of the impact that menstrual status might have on lipid profiles among premenopausal and postmenopausal women. Methods: A cross-sectional study was conducted with 260 premenopausal and postmenopausal women (1: 1) and serum lipid component concentrations (high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), triglycerides (TGs), and total cholesterol (TC)) were measured. A comparison between two groups was made between premenopausal and postmenopausal women, and regression was carried out to estimate the effect of menstrual status on lipid components. Results: Compared with premenopausal women, the concentrations of the lipid components (HDL-C, LDL-C, TG, and TC) were found to be significantly higher in postmenopausal women. Using the linear regression, menstruation status was able to predict 11.7%-13.3% of the lipid components (TG and TC) when age and weight were adjusted. Conclusion: The difference in lipid components between premenopausal women and postmenopausal women exists, with menstrual status explaining 11.7%-13.3% variance for the observed lipid level. The factors influencing the lipid profile beside the menstrual status should also be explored. External intervention such as estrogen replacement therapy is also recommended in case of deviation of lipid profile from the suggested normal clinical range.