Department of Medicine, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, 1124 West Carson Street, Torrance, CA 90502, USA.
J Am Coll Cardiol. 2010 Apr 27;55(17):1814-23. doi: 10.1016/j.jacc.2009.10.075.
The goal of this study was to identify better predictors of early death in patients with chronic left ventricular heart failure (CHF). Potential predictors, derived from cardiopulmonary exercise testing, were compared with other commonly used cardiovascular measurements.
The prediction of early death in patients with CHF remains challenging.
Five hundred eight patients with CHF due to systolic dysfunction underwent resting cardiovascular measurements, 6-min walking tests, and cardiopulmonary exercise testing. The peak oxygen uptake (.VO(2)), peak oxygen pulse, anaerobic threshold, ratio of ventilation to carbon dioxide output (.VE/.VCO(2)), slope of .VE versus .VCO(2), and presence or absence of a distinctive oscillatory breathing pattern (OB) were ascertained. Outcomes were 6-month mortality and morbidity, the latter a sum of cardiac hospitalizations and deaths.
The single best predictor of mortality was an elevated lowest .VE/.VCO(2) (> or =155% predicted). Adding OB on the basis of stepwise regression (optimal 2-predictor model), the odds ratio for mortality increased from 9.4 to 38.9 (p < 0.001). The slope of .VE versus .VCO(2) slope, peak .VO(2), peak oxygen pulse, and anaerobic threshold combined with OB were also strong predictors. OB also increased the odds ratio 2- to 3-fold for each of these (p < 0.01). Kaplan-Meier survival curves and area under the receiver-operating characteristic curve confirmed that lowest .VE/.VCO(2) and OB were superior. For morbidity, elevated lowest .VE/.VCO(2) or lower peak .VO(2) with OB were the best predictors. No nonexercise measurements discriminated mortality and morbidity.
Cardiopulmonary exercise testing parameters are powerful prognosticators of early mortality and morbidity in patients with CHF, especially the optimal 2-predictor model of a combination of elevated lowest .VE/.VCO(2) and OB.
本研究旨在确定预测慢性左心室心力衰竭(CHF)患者早期死亡的更好指标。将源自心肺运动测试的潜在预测因子与其他常用心血管测量值进行比较。
预测 CHF 患者的早期死亡仍然具有挑战性。
508 例因收缩功能障碍导致 CHF 的患者接受了静息心血管测量、6 分钟步行试验和心肺运动测试。确定了峰值摄氧量(.VO(2))、峰值氧脉冲、无氧阈、通气与二氧化碳输出比(.VE/.VCO(2))、.VE 与.VCO(2)斜率以及是否存在特征性振荡呼吸模式(OB)。结果是 6 个月死亡率和发病率,后者是心脏住院和死亡的总和。
死亡率的最佳单一预测指标是最低.VE/.VCO(2)升高(>或=155%预测值)。基于逐步回归(最佳 2 预测因子模型)添加 OB,死亡率的优势比从 9.4 增加到 38.9(p<0.001)。.VE 与.VCO(2)斜率、峰值.VO(2)、峰值氧脉冲和无氧阈与 OB 结合也是强有力的预测因子。OB 也使这些指标的优势比增加了 2 至 3 倍(p<0.01)。Kaplan-Meier 生存曲线和受试者工作特征曲线下面积证实,最低.VE/.VCO(2)和 OB 是更好的预测因子。没有非运动测量可以区分死亡率和发病率。
心肺运动测试参数是 CHF 患者早期死亡率和发病率的有力预测指标,尤其是升高的最低.VE/.VCO(2)和 OB 的最佳 2 预测因子模型。