The American journal of the medical sciences · 2009
Metabolic syndrome and homocysteine level as predictors of the severity of coronary artery disease in patients with carotid stenosis.
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Hsieh Ming-Jer, Chen Chun-Chi, Lee Tsong-Hai, Lee Cheng-Hung, Wen Ming-Shien, Lin Fun-Chung, Hsieh I-Chang, Wu Delon
Аннотация
BACKGROUND: Coronary artery disease (CAD) is the most important cause of mortality and morbidity in patients who have undergone carotid artery endovascular or surgical intervention. Metabolic syndrome (MetS) and hyperhomocysteinemia (HHCY) have been reported to be associated with CAD. However, no study has investigated the association between MetS or HHCY and the severity of CAD in patients with carotid stenosis.
METHODS: Total of 148 consecutive patients with at least 1 side of the extracranial internal carotid artery were enrolled. Further, on the basis of the results of coronary angiography, the patients were divided into the CAD group (n = 85) and the non-CAD group (n = 63).
RESULTS: Multiple regression analysis revealed that CAD was independently associated with HHCY (odds ratio: 4.07; 95% confidence interval: 1.93-8.57; P < 0.0001) and MetS (odds ratio: 3.38; 95% confidence interval: 1.56-7.29; P = 0.002). Furthermore, multivariate stepwise linear regression revealed that the MetS score and total plasma homocysteine level were significantly correlated with affected vessel number in CAD and the extent of coronary atherosclerosis.
CONCLUSIONS: MetS and HHCY can predict the presence of CAD in patients with carotid stenosis. Furthermore, the MetS score and total plasma homocysteine level are significantly associated with the extent of coronary atherosclerosis.
METHODS: Total of 148 consecutive patients with at least 1 side of the extracranial internal carotid artery were enrolled. Further, on the basis of the results of coronary angiography, the patients were divided into the CAD group (n = 85) and the non-CAD group (n = 63).
RESULTS: Multiple regression analysis revealed that CAD was independently associated with HHCY (odds ratio: 4.07; 95% confidence interval: 1.93-8.57; P < 0.0001) and MetS (odds ratio: 3.38; 95% confidence interval: 1.56-7.29; P = 0.002). Furthermore, multivariate stepwise linear regression revealed that the MetS score and total plasma homocysteine level were significantly correlated with affected vessel number in CAD and the extent of coronary atherosclerosis.
CONCLUSIONS: MetS and HHCY can predict the presence of CAD in patients with carotid stenosis. Furthermore, the MetS score and total plasma homocysteine level are significantly associated with the extent of coronary atherosclerosis.