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Lipid profile cutoff values for predicting hypertension in an Iranian population (ROC curve analysis)
All Chehrei1, Saeed Sadrnia, Pargol Samanianpour
1Department of Pathology, Isfahan University of Medical Sciences, Isfahan, Iran.
Insights
Hypertension is linked to higher levels of dyslipidemia. New lipid profile cutoff points for predicting hypertension were established, differing from ATP III guidelines, suggesting closer monitoring for hypertensive patients.
Area of Science:
- Cardiology
- Clinical Lipidology
Background:
- Hypertension affects a significant global population, with incomplete understanding of its etiology.
- Dyslipidemia is a common comorbidity associated with hypertension.
- This study investigates dyslipidemia prevalence and lipid profile predictors in hypertension.
Purpose of the Study:
- To compare the prevalence of dyslipidemia in hypertensive patients versus a control group.
- To determine optimal cutoff points for lipid profiles to predict hypertension.
- To assess the clinical implications of identified lipid profile values in hypertensive individuals.
Main Methods:
- A cross-sectional, population-based study comparing 250 hypertensive individuals with 750 healthy controls.
- Measurement of lipid profiles, including total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C).
- Utilized Receiver Operating Characteristic (ROC) curves to identify predictive cutoff values for hypertension.
Main Results:
- Significant differences observed in mean TC, TG, and LDL-C between hypertensive and control groups (p<0.001).
- Optimal ROC-derived cutoff values for predicting hypertension were established: TC ≥ 185 mg/dl, TG ≥ 125 mg/dl, LDL-C ≥ 110 mg/dl, and HDL-C ≤ 45 mg/dl.
- Identified lipid profile cutoff points for hypertension appear distinct from ATP III guidelines for individuals with 2+ risk factors.
Conclusions:
- The elevated prevalence of dyslipidemia in hypertensive patients warrants focused detection and management strategies.
- Established plasma lipid cutoff points for hypertension may differ from current ATP III recommendations.
- Further research is recommended to validate these lipid profile values as predictive factors for hypertension.
Background:
Hypertension is a common condition that affects many people in the world. Although several risk factors for the development of hypertension have been identified, its etiology is still not fully understood. In this study the prevalence of dyslipidemia in a hypertensive and a control group was compared and the cutoff points of the lipid profile to predict hypertension were determined.
Material/Method:
In this cross-sectional population-based study, the lipid profiles of 250 people who had hypertension were compared with those of 750 healthy subjects (control group). Total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) were measured. Receiver operating characteristic (ROC) curves were used to determine the optimal cutoff values.
Results:
There were significant differences in mean TC, TG, and LDL-C between the hypertensive and control groups (p<0.001). ROC curves for predicting hypertension were plotted and the best cutoff values were 185 mg/dl for TC, 125 mg/dl for TG, 110 mg/dl for LDL-C, and 45 mg/dl for HDL-C.
Conclusion:
The significantly higher prevalence of dyslipidemia in hypertensive patients may necessitate special attention to its detection and treatment. Also, plasma lipid cutoff points in hypertension seem to be different from ATP III cutoff points (for a patient with a 2+ risk factor). Further studies are needed to confirm standard values of the lipid profile as a predictive factor in hypertensive patients.
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