The association of left ventricular mass index with coronary collateral circulation in patients with chronic total occlusion

心脏病学 医学 内科学 侧支循环 抵押 冠状动脉闭塞 肌肉肥大 闭塞 接收机工作特性 缺血 抵押品 财务 经济
作者
Mehmet Ali Çetin,Elif Hande Ozcan Cetin,Kadir Ocak,Ozlem Ozcan Celebi,Dursun Aras,Ahmet Temizhan,Sinan Aydoğdu
出处
期刊:Türk kardiyoloji derneği arşivi [Turkish Society of Cardiology]
被引量:1
标识
DOI:10.5543/tkda.2018.60497
摘要

Left ventricular (LV) hypertrophy predisposes the myocardium to ischemia through several mechanisms. The LV mass index (LVMI) is used as a readily available and reliable measurement of LV hypertrophy. The LVMI can also be used to evaluate LV remodeling. The hypothesis of this study was that LV hypertrophy might augment coronary collateralization in patients with chronic total occlusion (CTO) and the aim was to research any association between LVMI and collateral formation in CTO. As a secondary goal, specific LV geometric types that might be associated with collateral presence were also investigated.A total of 305 patients with CTO were included and categorized into 4 groups based on Rentrop grade.The LVMI demonstrated an incremental linear trend as the Rentrop grade increased. In the receiver operating characteristic curve, the likelihood that a cut-off value of 100.1 g/m2 would accurately differentiate patients with collaterals from those without collaterals was 75.8%, with 68.5% sensitivity and 68.6% specificity. A 1 gram/m2 increase in LVMI was associated with a 7.5% greater likelihood of collateral development. In addition, compared with normal geometry, the presence of eccentric hypertrophy was associated with 6.7 times higher odds of the presence of coronary collaterals.The results of this study indicated that a greater LVMI predicted coronary collateral presence. Furthermore, having an eccentric geometric type of hypertrophy increased the likelihood of coronary collaterals more than other geometries. This finding signified that in addition to LV wall thickness, the type of hypertrophy was also decisive in predicting collateral presence.

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