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Usefulness of routine aortic valve calcium score measurement for risk stratification of aortic stenosis and coronary artery disease in patients scheduled cardiac multislice computed tomography

机译:计划的心脏多层螺旋CT术中常规主动脉瓣钙化评分测量对主动脉瓣狭窄和冠状动脉疾病风险分层的有用性

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Objectives This study sought to investigate the clinical utility of aortic valve calcium score (AVCS) determined by using cardiac multislice computed tomography (MSCT). Methods Data of 1315 consecutive patients who underwent both conventional echocardiography and MSCT were reviewed. Degree of aortic stenosis (AS) was assessed according to mean pressure gradient (mPG) measured by echocardiography. Extent of coronary artery disease (CAD) derived by MSCT also was evaluated in 1173 patients who did not undergo prior coronary treatment. Both AVCS and coronary calcium score (CCS) were defined by Agatston units (AU) according to MSCT findings. Results A total of 613 of 1315 patients were defined as AVCS positive (mean, 100AU [range, 31.0–380.0AU]). AVCS showed significant correlations with mPG (Spearman's ρ=0.81, p<0.001), and CCS (ρ=0.53, p<0.001). Differential adequate cut-off values of AVCS were proved for predicting severe AS with mPG ≥40mmHg (1596.5AU; AUC, 0.88; sensitivity, 89.7%; specificity, 77.0%), and for predicting moderate AS with mPG≥20mmHg (886.5AU; area under the curve [AUC], 0.91; sensitivity, 92.4%; specificity, 78.3%). Mean AVCS was higher with increased extent of CAD (none, 0AU [range, 0–30AU]; single vessel, 8.5AU [range, 0–104AU]; multivessel, 142AU [range, 10–525AU]; p<0.001). The optimal cut-off value of AVCS for predicting multivessel disease was 49AU (AUC, 0.77; sensitivity, 68.8%; specificity, 78.0%). Conclusions AVCS might be a surrogate marker not only for AS grading but also for CAD progression. Therefore, routine AVCS assessment could be useful for risk stratification.
机译:目的本研究旨在探讨通过心脏多层螺旋CT(MSCT)测定的主动脉瓣钙化评分(AVCS)的临床应用。方法回顾性分析1315例行常规超声心动图和MSCT检查的患者。根据超声心动图测量的平均压力梯度(mPG)评估主动脉狭窄程度(AS)。还对1173例未接受过冠脉治疗的患者评估了MSCT得出的冠状动脉疾病(CAD)的程度。根据MSCT发现,AVCS和冠状动脉钙化评分(CCS)均由Agatston单位(AU)定义。结果1315例患者中有613例被定义为AVCS阳性(平均100AU [范围,31.0–380.0AU])。 AVCS与mPG(Spearman'sρ= 0.81,p <0.001)和CCS(ρ= 0.53,p <0.001)显着相关。事实证明,AVCS有足够的临界值,可以预测mPG≥40mmHg(1596.5AU; AUC,0.88;敏感性,89.7%;特异性为77.0%)的严重AS,以及预测mPG≥20mmHg(886.5AU; 59%)的中等AS。曲线下面积[AUC]为0.91;灵敏度为92.4%;特异性为78.3%)。随着CAD程度的增加,平均AVCS更高(无,0AU [范围,0–30AU];单管,8.5AU [范围,0–104AU];多血管,142AU [范围,10–525AU]; p <0.001)。预测多支血管疾病的AVCS的最佳临界值为49AU(AUC为0.77;敏感性为68.8%;特异性为78.0%)。结论AVCS不仅可以作为AS评分的替代指标,而且可以作为CAD进展的替代指标。因此,常规的AVCS评估可能有助于进行风险分层。

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