心力衰竭超声指数与射血分数保留型心力衰竭患者左心功能分级、脑钠肽的相关性及其预后预测价值

Correlations of heart failure echocardiographic index with left ventricular function classification and brain natriuretic peptide in patients with heart failure with preserved ejection fraction and its prognostic predictive value

  • 摘要:
    目的 探讨心力衰竭超声指数(HFEI)与射血分数保留型心力衰竭(HFpEF)患者左心功能分级、血清脑钠肽(BNP)水平的相关性及其对预后的预测价值。
    方法 纳入139例HFpEF患者作为研究对象,统计其随访1年内主要心血管不良事件(MACE)发生情况,并根据随访结局将患者分为预后良好组和预后不良组。比较2组患者的临床资料,包括一般资料、HFEI、左心功能分级及血清BNP水平等。采用多因素Logistic回归分析明确预后不良的影响因素; 采用Pearson或Spearman相关分析评估HFEI与左心功能分级、BNP水平的相关性; 绘制受试者工作特征(ROC)曲线,分析HFEI对预后不良的预测效能。
    结果 随访1年期间失访4例,共135例纳入结果分析,预后不良发生率为21.48%(29/135)。预后不良组有糖尿病、高尿酸血症、吸烟史及病变血管数量≥3支的患者占比均高于预后良好组,年龄、HFEI、左心功能分级、左心室舒张末期内径(LVEDD)、左心房内径(LAD)和血清BNP、肌钙蛋白I(cTnI)水平也均高于或大于预后良好组,差异有统计学意义(P < 0.05)。多因素Logistic回归分析显示,入院时HFEI、左心功能分级及血清BNP水平均为HFpEF患者预后不良的独立影响因素(P < 0.001); 在校正左心功能分级、血清BNP水平后, HFEI仍与预后不良显著相关(OR=1.688, 95%CI: 1.437~1.982, P < 0.001)。Spearman相关分析显示, HFEI与左心功能分级呈正相关(r=0.728, P < 0.05); Pearson相关分析显示, HFEI与血清BNP水平呈正相关(r=0.745, P < 0.05)。ROC曲线分析显示, HFEI预测HFpEF患者预后不良的曲线下面积为0.819(95%CI: 0.744~0.880), 敏感度、特异度分别为86.21%、75.47%。
    结论 HFEI与HFpEF患者的左心功能分级、血清BNP水平均呈正相关,且对预后具有良好的预测价值,可为临床个性化治疗决策提供参考。

     

    Abstract:
    Objective To investigate the correlations of the heart failure echocardiographic index (HFEI) with left ventricular function classification and serum brain natriuretic peptide (BNP) levels in heart failure patients with preserved ejection fraction (HFpEF), as well as its prognostic predictive value.
    Methods A total of 139 patients with HFpEF were included as the study subjects. The occurrence of major adverse cardiovascular events (MACE) within one year of follow-up was recorded, and the patients were divided into good prognosis group and poor prognosis group according to the follow-up outcomes. The clinical data of the two groups of patients were compared, including general information, HFEI, left ventricular function classification, and serum BNP levels. Multivariate logistic regression analysiswas used to identify the influencing factors of poor prognosis. Pearson or Spearman correlation analysis was employed to evaluate the correlation between HFEI and left ventricular function classification and BNP levels. The receiver operating characteristic (ROC) curve was plotted to analyze the predictive efficacy of HFEI for poor prognosis.
    Results During the one-year follow-up, 4 patients were lost during follow-up, and a total of 135 patients were included. The incidenceof poor prognosis was 21.48%(29/135). The proportions of patients with diabetes, hyperuricemia, a history of smoking, and the number of diseased vessels ≥3 in the poor prognosis group were all higher than those in the good prognosis group. The age, HFEI, left ventricular function classification, left ventricular end-diastolic diameter (LVEDD), left atrial diameter (LAD), and serum BNP and cardiac troponin I (cTnI) levels were also higher or larger in the poor prognosis group than those in the good prognosis group, with statistically significant differences (P < 0.05). Multivariate logistic regression analysis showed that HFEI, left ventricular function classification, and serum BNP levels at admission were all independent influencing factors for poor prognosis in patients with HFpEF (P < 0.001). After adjusting for left ventricular function classification and serum BNP levels, HFEI was still significantly correlated with poor prognosis (OR=1.688, 95%CI, 1.437 to 1.982, P < 0.001). Spearman correlation analysis showed a positive correlation between HFEI and left ventricular function classification (r=0.728, P < 0.05). Pearson correlation analysis showed a positive correlation between HFEI and serum BNP levels (r=0.745, P < 0.05). ROC curve analysis showed that the area under the curve of HFEI for predicting poor prognosis in patients with HFpEF was 0.819 (95%CI, 0.744 to 0.880), with a sensitivity and specificity of 86.21% and 75.47%, respectively.
    Conclusion HFEI is positively correlated with left ventricular function classification and serum BNP levels in patients with HFpEF, and has good prognostic predictive value, which can provide a reference for clinical personalized treatment decisions.

     

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