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门控心肌灌注显像在不良心脏事件预测中的应用 被引量:2

Application of G-MPI Measurement in ACE Prediction
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摘要 目的探讨行门控心肌灌注显像(G-MPI)测量左心室舒张功能指标用于冠心病患者不良心脏事件(ACE)预测的临床价值。方法研究对象选取我院2013年6月至2017年10月收治冠心病患者共316例,均行G-MPI测量左心室舒张功能,根据年龄、左室射血分数(LVEF)、高峰充盈率(PFR)及总负荷评分(SSS)水平进行分组,确定影响ACE的独立危险因素并计算不同组随访无ACE生存率。结果Cox回归分析显示,SSS、LVEF及PFR均为影响ACE的独立危险因素(P<0. 05);PFR≥2. 1EDV/s+LVEF <50%和PFR≥2. 1EDV/s+LVEF≥50%患者间无ACE生存率比较差异无统计学意义(P> 0.05); PFR <2.1 EDV/s+LVEF≥50%患者无ACE生存率显著高于PFR <2. 1EDV/s+LVEF <50%(P <0. 05); PFR≥2.1 EDV/s+SSS <8患者无ACE生存率显著高于PFR <2.1 EDV/s+SSS≥8 (P <0.05); PFR <2.1 EDV/s+LVEF <8和PFR <2. 1EDV/s+LVEF≥8患者间无ACE生存率比较差异无统计学意义(P> 0.05)。结论PFR是预测冠心病患者ACE的独立危险因素之一,其与LVEF及SSS联合应用有助于提高ACE预测准确性。 Objective To investigate the ACE prediction value of G-MPI measurement of left ventricular diastolic function in patients with coronary heart disease.Methods 316 patients with coronary heart disease received G-MPI measurement were chosen from June 2013 to October 2015 in our hospital for the study.All patients were grouped according to LVEF,PFR,and SSS levels for the analysis,in order to determine the independent risk factors for ACE and calculate the non-ACE survival rate in different groups during the follow-up.Results The Cox regression analysis showed that SSS,LVEF and PFR were the independent risk factors for ACE(P<0.05).There was no significant difference in the non-ACE survival rate between patients with PFR≥2.1EDV/s+LVEF<50%and PFR≥2.1EDV/s+LVEF≥50%(P>0.05).The non-ACE survival rate of patients with PFR<2.1 EDV/s+LVEF≥50%were significantly higher than patients with PFR<2.1EDV/s+LVEF<50%(P<0.05).The non-ACE survival rate of patients with PFR≥2.1 EDV/s+SSS<8 were significantly higher than patients with PFR<2.1EDV/s+SSS≥8(P<0.05).There was no significant difference in the non-ACE survival rate between patients with PFR<2.1EDV/s+LVEF<8 and PFR<2.1EDV/s+LVEF≥8(P>0.05).Conclusion PFR can serve as one of the independent risk factors for predicting ACE in patients with coronary heart disease.The combination of PFR,LVEF and SSS could provide more power to improve the accuracy of ACE.
作者 朱郧鹤 谭利国 孙鹏 蒋坤 王淇 骆磊 ZHU Yun-he;TAN Li-guo;SUN Peng;JIANG Kun;WANG Qi;LUO Lei(Department of Nuclear Medicine,Renmin Hospital,Hubei University of Medicine,Shiyan 442000,China)
出处 《标记免疫分析与临床》 CAS 2018年第12期1785-1788,共4页 Labeled Immunoassays and Clinical Medicine
基金 十堰市科学技术研究与开发项目计划(编号:18Y70)
关键词 G-MPI 左心室舒张功能 冠心病 ACE 预测 G-MPI Left ventricular diastolic function Coronary heart disease ACE Prediction
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