Journal of atherosclerosis and thrombosis · 2024
The Risk of Coronary Artery Calcification according to Different Lipid Parameters and Average Lipid Parameters.
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Yoo Tae Kyung, Lee Mi Yeon, Sung Ki-Chul
Аннотация
AIM: We compared the association between the baseline and average lipid parameters over time and the coronary artery calcification (CAC) risk.
METHODS: Participants who underwent annual (biannual) health examinations and coronary artery computed tomography to measure CAC at least twice between March 2010 and December 2019, with a baseline CAC of 0, were included. The levels of apolipoprotein B (ApoB), Apolipoprotein A-I (ApoA1), ApoB/ApoA1, non-high-density lipoprotein cholesterol (non-HDL-C), low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), triglycerides (TG), TG/HDL-C, and TC/HDL-C were measured or calculated. The remnant cholesterol (RC) levels were calculated. The average lipid parameters before study entry were calculated using data from 2002 to 2010. The participants were divided into quartiles (Q) according to the parameter values. Cox proportional hazard modeling, adjusted for confounding factors, compared the CAC risk of the highest quartile to the lowest quartile.
RESULTS: Among 29,278 participants (mean age, 39.19±5.21; men, 88.27%), 2,779 developed CAC ＞0. The highest quartile of ApoB showed a numerically strong association with CAC risk, compared with the lowest quartile of ApoB (Q1: reference; Q2: HR,1.41, 95% CI,1.25-1.59; Q3: HR,1.97, 95% CI,1.75-2.21; Q4: HR,2.72, 95% CI,2.41-3.07). RC showed a modest association with CAC risk (Q1: reference; Q2: HR,1.13, 95% CI,0.99-1.28; Q3: HR,1.3, 95% CI,1.15-1.47; Q4: HR,1.7, 95% CI,1.51-1.91). The strength of the association was comparable between the parameters at baseline and the average lipid parameters over time.
CONCLUSIONS: A high ApoB level showed a strong association with CAC risk compared with the lowest ApoB quartile. The baseline lipid parameters can predict CAC development as effectively as the average of multiple measurements can.
METHODS: Participants who underwent annual (biannual) health examinations and coronary artery computed tomography to measure CAC at least twice between March 2010 and December 2019, with a baseline CAC of 0, were included. The levels of apolipoprotein B (ApoB), Apolipoprotein A-I (ApoA1), ApoB/ApoA1, non-high-density lipoprotein cholesterol (non-HDL-C), low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), triglycerides (TG), TG/HDL-C, and TC/HDL-C were measured or calculated. The remnant cholesterol (RC) levels were calculated. The average lipid parameters before study entry were calculated using data from 2002 to 2010. The participants were divided into quartiles (Q) according to the parameter values. Cox proportional hazard modeling, adjusted for confounding factors, compared the CAC risk of the highest quartile to the lowest quartile.
RESULTS: Among 29,278 participants (mean age, 39.19±5.21; men, 88.27%), 2,779 developed CAC ＞0. The highest quartile of ApoB showed a numerically strong association with CAC risk, compared with the lowest quartile of ApoB (Q1: reference; Q2: HR,1.41, 95% CI,1.25-1.59; Q3: HR,1.97, 95% CI,1.75-2.21; Q4: HR,2.72, 95% CI,2.41-3.07). RC showed a modest association with CAC risk (Q1: reference; Q2: HR,1.13, 95% CI,0.99-1.28; Q3: HR,1.3, 95% CI,1.15-1.47; Q4: HR,1.7, 95% CI,1.51-1.91). The strength of the association was comparable between the parameters at baseline and the average lipid parameters over time.
CONCLUSIONS: A high ApoB level showed a strong association with CAC risk compared with the lowest ApoB quartile. The baseline lipid parameters can predict CAC development as effectively as the average of multiple measurements can.