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A new index (CHOLINDEX) in detecting coronary artery disease risk
Onur Akpınar1, Abdi Bozkurt, Esmeray Acartürk
1Clinic of Cardiology, BSK Metropark Hospital, Adana-Turkey. onur_akpinar@yahoo.com
Insights
A new cholesterol index, CHOLINDEX, reliably predicts coronary artery disease (CAD) risk. This simple index offers a valuable tool for clinical practice, similar to traditional lipid parameters.
Area of Science:
- Cardiology
- Biochemistry
- Medical Diagnostics
Background:
- Elevated low-density lipoprotein cholesterol (LDL-C), triglycerides (TG), and low high-density lipoprotein cholesterol (HDL-C) are linked to increased coronary artery disease (CAD) risk.
- The precise contribution of each lipid parameter to CAD risk remains debated.
Purpose of the Study:
- To introduce and evaluate the reliability of a novel index, CHOLINDEX, for assessing CAD risk.
- To compare the predictive power of CHOLINDEX against traditional lipid parameters.
Main Methods:
- A cohort of 307 patients (190 males, 117 females; age 26-80) undergoing coronary angiography were analyzed.
- Patient risk factors and lipid profiles were recorded.
- CHOLINDEX was calculated using the formula: LDL-C - HDL-C (for TG < 400 mg/dL) or LDL-C - HDL-C + 1/5 TG (for TG ≥ 400 mg/dL).
Main Results:
- Coronary artery disease was present in 180 out of 307 patients.
- Independent predictors of CAD included age, male gender, hypertension, diabetes mellitus, smoking, and CHOLINDEX.
- Logistic regression revealed CHOLINDEX as a significantly stronger predictor of CAD (odds ratio=1.011, 95% CI=1.003-1.019) than other individual lipid parameters.
Conclusions:
- CHOLINDEX is a straightforward and dependable index for predicting CAD.
- The index can be effectively integrated into routine clinical practice for risk assessment, complementing existing lipid parameters.
Objective:
Coronary artery disease (CAD) risk increases with the elevation of low-density lipoprotein cholesterol (LDL-C), triglyceride (TG) and low level high-density lipoprotein cholesterol (HDL-C) levels. However, the magnitude at which CAD risk increases with every lipid parameter is controversial. We developed a new index called CHOLINDEX, in order to evaluate CAD risk, and investigated its reliability.
Methods:
Three hundred and seven patients (190 males and 117 females, aged between 26-80 years, mean 53.6 ± 10.2 years) who underwent diagnostic coronary angiography were included in the study. Risk factors and lipid profiles of all patients were noted. CHOLINDEX was calculated by using a formula as follows: CHOLINDEX=LDL-C-HDL-C (TG<400 mg/dL), LDL-C-HDL-C + 1/5 of TG (TG ≥ 400 mg/dL).
Results:
Of the 307 patients, 180 had CAD. We found that age, male gender, hypertension, diabetes mellitus, smoking and CHOLINDEX were independent predictors of CAD. The logistic regression analysis showed that the CHOLINDEX had a much more significant relation with CAD (odds ratio=1.011, 95% CI=1.003-1.019) compared with other lipid parameters.
Conclusion:
CHOLINDEX is a simple index which can be used reliably in prediction of CAD like other lipid parameters in daily clinical practice.
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