李亿华, 李涯, 蔡震宇, 周懂晶. 冠状动脉钙化分数与肌钙蛋白I对射血分数保留型心力衰竭死亡的预测价值[J]. 心脏杂志, 2022, 34(3): 275-279. DOI: 10.12125/j.chj.202107028
    引用本文: 李亿华, 李涯, 蔡震宇, 周懂晶. 冠状动脉钙化分数与肌钙蛋白I对射血分数保留型心力衰竭死亡的预测价值[J]. 心脏杂志, 2022, 34(3): 275-279. DOI: 10.12125/j.chj.202107028
    Yi-hua LI, Ya LI, Zhen-yu CAI, Dong-jing ZHOU. Predictive value of coronary artery calcification score and cardiac troponin I for poor outcomes in patients with heart failure with preserved ejection fraction[J]. Chinese Heart Journal, 2022, 34(3): 275-279. DOI: 10.12125/j.chj.202107028
    Citation: Yi-hua LI, Ya LI, Zhen-yu CAI, Dong-jing ZHOU. Predictive value of coronary artery calcification score and cardiac troponin I for poor outcomes in patients with heart failure with preserved ejection fraction[J]. Chinese Heart Journal, 2022, 34(3): 275-279. DOI: 10.12125/j.chj.202107028

    冠状动脉钙化分数与肌钙蛋白I对射血分数保留型心力衰竭死亡的预测价值

    Predictive value of coronary artery calcification score and cardiac troponin I for poor outcomes in patients with heart failure with preserved ejection fraction

    • 摘要:
        目的  探讨通过双螺旋计算机断层摄影分析出的冠状动脉钙化分数(coronary artery calcification score, CACS) 联合高敏肌钙蛋白I(high sensitive cardiac troponin I, Hs-cTnI)对射血分数保留型心力衰竭(heart failure with preserved ejection fraction, HFpEF)死亡的预测价值。
        方法  通过系统筛选出在2017年1月至2019年12月,在该院诊断为HFpEF的病例,电话随访记录其死亡发生的情况。共收集HFpEF患者235例,失访16例,纳入219例,随访时间为(40 ± 21)个月,共发生了80 例全因死亡,其中心源性死亡56例。通过COX回归模型进行单因素分析和多因素分析,得出对HFpEF死亡有预测价值的指标。最后使用受试者工作特征曲线 (receiver operating characteristic curve, ROC曲线)分析预测指标单独及联合预测HFpEF死亡的价值。
        结果  CACS分级、Hs-cTnI与脑钠肽(BNP)水平呈正相关性(分别为r=0.3081, P <0.05及r=0.7081, P <0.05);多因素COX回归显示BNP、CACS、Hs-cTnI为HFpEF患者发生全因死亡及心源性死亡的独立预测因子(P <0.05);ROC曲线分析显示与CACS、Hs-cTnI联合预测HFpEF不良预后的AUC值、灵敏度及特异度高于各项单独预测。
        结论  Hs-cTnI及CACS是HFpEF患者发生全因死亡,心源性死亡强有力的预测因子,两者联合预测价值更强。

       

      Abstract:
        AIM  To investigate the predictive value of high sensitive cardiac troponin I (Hs-cTnI) and coronary artery calcification score (CACS) using spiral CT in patients with heart failure with preserved ejection fraction (HFpEF).
        METHODS  We retrospectively analyzed HFpEF patients in our hospital from January 2017 to December 2019. The occurrence of adverse events was recorded via telephone follow-up. A total of 235 HFpEF patients were collected, 16 were lost to follow-up, and 219 were included. The follow-up time was (40±21) months. A total of 80 all-cause deaths occurred and 56 were cardiac death. Single-factor analysis and multi-factor analysis were carried out through COX regression model, and indicators that had predictive value for HFpEF death were obtained. Finally, receiver operating characteristic curve (ROC) was used to analyze the predictive value of CACS and Hs-cTnI for death of HFpEF patients.
        RESULTS  CACS classification, Hs-cTnI and brain natriuretic peptide (BNP) levels were positively correlated (r=0.3081, P<0.05 and r=0.7081, P<0.05); Multivariate COX regression showed that BNP, CACS and Hs-cTnI were independent predictors for the occurrence of all-cause death and cardiac death in patients with HFpEF patients (P<0.05). ROC analysis showed that the AUC value, sensitivity and specificity of combining CACS and Hs-cTnI for adverse events in HFpEF patients were higher than those of one individual predictor.
        CONCLUSION  Hs-cTnI and CACS are good predictors for all-cause death and cardiovascular death in patients with HFpEF, and Hs-cTnI combined with CaCS has higher predictive value.

       

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