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心肺和无创血流动力学对运动的反应可预测心力衰竭的结局。

Cardiopulmonary and noninvasive hemodynamic responses to exercise predict outcomes in heart failure.

机构信息

Veterans Administration Palo Alto Health Care System, Division of Cardiovascular Medicine, Stanford University, Palo Alto, California 94304, USA.

出版信息

J Card Fail. 2013 Feb;19(2):101-7. doi: 10.1016/j.cardfail.2012.11.010.

Abstract

BACKGROUND

An impaired cardiac output response to exercise is a hallmark of chronic heart failure (HF). We determined the extent to which noninvasive estimates of cardiac hemodynamics during exercise in combination with cardiopulmonary exercise test (CPX) responses improved the estimation of risk for adverse events in patients with HF.

METHODS AND RESULTS

CPX and impedance cardiography were performed in 639 consecutive patients (mean age 48 ± 14 years), evaluated for HF. Clinical, hemodynamic, and CPX variables were acquired at baseline and subjects were followed for a mean of 460 ± 332 days. Patients were followed for the composite outcome of cardiac-related death, hospitalization for worsening HF, cardiac transplantation, and left ventricular assist device implantation. Cox proportional hazards analyses including clinical, noninvasive hemodynamic, and CPX variables were performed to determine their association with the composite endpoint. There were 113 events. Among CPX variables, peak oxygen uptake (VO(2)) and the minute ventilation (VE)/carbon dioxide production (VCO(2)) slope were significant predictors of risk for adverse events (age-adjusted hazard ratio [HR] 1.08, 95% confidence interval [CI] 1.05-1.11 for both; P < .001). Among hemodynamic variables, peak cardiac index was the strongest predictor of risk (HR 1.08, 95% CI 1.0-1.16; P = .01). In a multivariate analysis including CPX and noninvasively determined hemodynamic variables, the most powerful predictive model included the combination of peak VO(2), peak cardiac index, and the VE/VCO(2) slope, with each contributing significantly and independently to predicting risk; an abnormal response for all 3 yielded an HR of 5.1 (P < .001).

CONCLUSIONS

These findings suggest that noninvasive indices of cardiac hemodynamics complement established CPX measures in quantifying risk in patients with HF.

摘要

背景

运动时心输出量反应受损是慢性心力衰竭(HF)的标志。我们确定了在 HF 患者中,运动期间无创性心脏血液动力学评估与心肺运动测试(CPX)反应相结合在多大程度上改善了对不良事件风险的估计。

方法和结果

对 639 例连续患者(平均年龄 48 ± 14 岁)进行 CPX 和电抗心图检查,评估 HF。在基线时获得临床、血液动力学和 CPX 变量,并且患者平均随访 460 ± 332 天。患者随访的复合终点为心脏相关死亡、HF 恶化住院、心脏移植和左心室辅助装置植入。进行 Cox 比例风险分析,包括临床、无创血液动力学和 CPX 变量,以确定它们与复合终点的关系。有 113 个事件。在 CPX 变量中,峰值摄氧量(VO2)和分钟通气量(VE)/二氧化碳产量(VCO2)斜率是不良事件风险的显著预测因素(年龄调整后的危险比[HR]分别为 1.08,95%置信区间[CI]为 1.05-1.11;P <.001)。在血液动力学变量中,峰值心指数是最强的风险预测因素(HR 1.08,95%CI 1.0-1.16;P =.01)。在包括 CPX 和无创确定的血液动力学变量的多变量分析中,最有力的预测模型包括峰值 VO2、峰值心指数和 VE/VCO2 斜率的组合,每个变量都显著且独立地对预测风险做出贡献;所有 3 个变量的异常反应的 HR 为 5.1(P <.001)。

结论

这些发现表明,心脏血液动力学的无创指数补充了 CPX 测量在量化 HF 患者风险方面的作用。

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