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基于心脏平扫CT二尖瓣钙化积分预测二尖瓣反流术中更换术式

基于心脏平扫CT二尖瓣钙化积分预测二尖瓣反流术中更换术式

ISSN:1672-8475
2024年第21卷第12期
临床研究
侯洁,孙玉,张立波,王彦懿,李军辉,杨本强 HOU Jie,SUN Yu,ZHANG Libo,WANG Yanyi,LI Junhui,YANG Benqiang

目的 观察基于心脏平扫CT二尖瓣钙化(MAC)积分预测二尖瓣反流(MR)术中更换术式的价值。方法 回顾性分析182例MR患者,根据是否存在MAC将其分为MAC组(n=57)与无MAC组(n=125),比较组间临床及影像学资料;以logistic回归分析观察MR术中更换术式的影响因素,绘制受试者工作特征曲线,计算曲线下面积(AUC),评估MAC积分预测更换术式的效能。结果MAC组与无MAC组之间,高血压、心房颤动(AF)、二尖瓣修复术、二尖瓣置换术、主动脉瓣置换术、三尖瓣修复术及更换术式占比,以及入院左心房内径(LAD)、入院左心室舒张末期容积(LVEDV)、入院左心室射血分数(LVEF)、主动脉瓣狭窄、主动脉瓣反流、二尖瓣狭窄(MS)占比及随访LAD差异均有统计学意义(P均<0.05)。据此将患者分为更换术式组(n=50)与未更换组(n=132);组间患者性别、AF、MAC、MAC积分、入院LAD、主动脉瓣狭窄、MS及MR程度差异均有统计学意义(P均<0.05);其中,MAC积分为MR术中更换术式的独立影响因素(P<0.001),其预测更换术式的曲线下面积为0.757。结论 基于心脏平扫CT的MAC积分有助于预测MR术中更换术式。

Objective To observe the value of mitral annular calcification (MAC) score based on cardiac plain CT for predicting intraoperative surgical procedure change of mitral regurgitation (MR). Methods Totally 182 MR patients were retrospectively enrolled and divided into MAC group (n=57) and non MAC group (n=125) based on the presence or not of MAC, and clinical and imaging data were compared between groups. Logistic regression analysis was used to observe the impact factors of surgical procedure change. The receiver operating characteristic curve was drawn, the area under the curve (AUC) was calculated to explore the efficacy of MAC score for predicting surgical procedure change. Results Significant differences of the proportions of hypertension, atrial fibrillation (AF), mitral valve repair, mitral valve replacement, aortic valve replacement, tricuspid valve repair and surgical procedure change, as well as of admission left atrial diameter (LAD), admission left ventricular end-diastolic volume (LVEDV), admission left ventricular ejection fraction (LVEF), aortic valve stenosis, aortic regurgitation, the proportion of mitral stenosis (MS) and follow-up LAD were found between MAC group and non MAC group (all P<0.05). Then the patients were divided into surgical procedure change group (n=50) and non-change group (n=132), and significant differences of patients’ gender, AF, MAC, MAC score, admission LAD, aortic valve stenosis, MS and MR degree were found between surgical procedure change group and non-change group (all P<0.05). MAC score was an independent impact factor of intraoperative surgical procedure change of MR (P<0.001), with AUC of 0.757. Conclusion MAC score based on cardiac plain CT could be used to predict intraoperative surgical procedure change of MR.

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ISSN:1672-8475
2024年第21卷第12期
临床研究

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