冠状动脉血流储备分数联合残余胆固醇预测主要不良心血管事件发生风险

    Clinical study of coronary flow reserve fraction combined with residual cholesterol to predict the risk of major adverse cardiovascular events

    • 摘要:
      目的 探讨冠状动脉血流储备分数(coronary CT angiography derived fractional flow reserve,CTFFR)联合残余胆固醇(remnant cholesterol, RC)对主要不良心血管事件(MACE)发生风险的预测价值。
      方法 选取2022年6月~2023 年 6月解放军总医院第四医学中心疑似冠心病患者284例,随访1 年根据是否发生 MACE 分为 MACE 组(n=36)例和非 MACE组(n=248)。检测血清总胆固醇、低密度脂蛋白、高密度脂蛋白及计算RC、CTFFR 值。构建多因素 Logistic 回归模型分析影响疑似冠心病患者 MACE 发生的风险因素,绘制受试者工作特征(ROC)曲线分析CTFFR 值联合血清 RC 对疑似冠心病患者1年后MACE 发生风险的预测价值。
      结果 随访 1 年,无失访病例,284 例疑似冠心病患者随访1年后MACE 发生率为12.7%(36/284)。与非 MACE 组比较,MACE 组CTFFR 值降低、血清 RC水平升高(均P<0.05)。多因素 Logistic 回归分析显示性别、RC、糖化血红蛋白、肌酐、总钙化积分、CTFFR为独立影响因素(均P<0.05)。ROC 曲线分析显示,CTFFR 值联合RC预测疑似冠心病患者1年后 MACE 发生风险的曲线下面积为0.814,大于RC、FFR 值单独预测的0.646、0.789。
      结论 RC水平升高和 CTFFR 值降低与疑似冠心病患者MACE发生密切相关,CTFFR 值联合RC 预测疑似冠心病患者 MACE 发生风险的价值较高。

       

      Abstract:
      AIM To investigate the predictive value of coronary flow reserve fraction (FFRCT) combined with remnant cholesterol (RC) for the risk of major adverse cardiovascular events (MACE).
      METHODS A total of 284 suspected coronary heart disease patients were selected from the Fourth Medical Center of the PLA General Hospital from June 2022 to June 2023. The patients were followed up for 1 year and divided into MACE group (36 cases) and non-MACE group (248 cases) according to whether MACE occurred. Serum total cholesterol, low density lipoprotein, high density lipoprotein and RC and FFR were measured. Multivariate logistic regression model was constructed to analyze the risk factors affecting the occurrence of MACE in patients with suspected coronary heart disease and receiver operating characteristic (ROC) curve was drawn to analyze the predictive value of serum FFR combined with RC for the 1-year MACE risk in patients with suspected coronary heart disease.
      RESULES  After the 1 year follow-up, there were no lost cases. The incidence of MACE was 12.7% (36/284) in 284 patients with suspected coronary heart disease. Compared with those in non-MACE group, FFR value was decreased and serum RC level was increased in MACE group (P<0.05). Multiple Logistic regression analysis showed that gender, RC, glycosylated hemoglobin, creatinine, total calcification score and FFR were independent influencing factors (P<0.05). ROC curve analysis showed that the area under the curve of FFR combined with RC to predict the risk of MACE in patients with suspected coronary heart disease after 1 year was 0.814, which was larger than 0.646 and 0.789 predicted by RC or FFR alone.
      CONCLUSION  The increase of RC level and the decrease of FFR value are closely related to the occurrence of MACE in patients with suspected CHD. The combined value of FFR and RC is high in predicting the risk of MACE in patients with suspected CHD.

       

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