Green Lane Cardiovascular Service, Auckland City Hospital, Auckland, New Zealand.
Kardiol Pol. 2010 Jan;68(1):1-10.
Assessing the effects of valvular heart disease on functional capacity is important for optimal timing of surgery.
To determine whether N-terminal pro-B type natriuretic peptide (NT-proBNP) and lung spirometry predict maximum oxygen consumption (pVO(2)) on cardio-pulmonary exercise testing in patients with mixed heart valve disease.
Forty-five clinically stable patients with moderate-severe stenosis and/or regurgitation of the aortic, mitral and/or tricuspid valves were studied. The ability of echocardiography, NT-proBNP, forced expiratory volume in one second (FEV1) and forced vital capacity (FVC) to predict impaired pVO(2) was determined.
On univariate analysis the natural logarithm of NT-proBNP explained more of the variation in pVO(2) (r(2) = 0.40, p < 0.0001) than valve severity score (r(2) = 0.20, p = 0.002), pulmonary artery pressure (r(2) = 0.21, p = 0.005), left atrial area index (r(2) = 0.25, p = 0.001) or LV ejection fraction (r(2) = 0.02, p = 0.4). Low lean body weight (r(2) = 0.21, p = 0.002), FEV1 (r(2) = 0.26, p = 0.0003) and FVC (r(2) = 0.20, p = 0.002) were also associated with pVO(2). In multi-variable analysis independent determinants of pVO(2) were NT-proBNP (r(2) = 0.27, p = 0.001), FVC (r(2) = 0.20, p = 0.0002) and lean body weight (r(2) = 0.23, p = 0.001). NT-proBNP and FVC together were better predictors of pVO(2) < 60% (C statistic = 0.83, 95% CI 0.71, 0.95) than either NT-proBNP (C = 0.80, 95% CI 0.66, 0.94) or FVC (C =0.73, 95% CI 0.57, 0.89) alone. NT-proBNP, FVC and age also predicted excessive ventilation on cardio-pulmonary exercise (combined r(2) = 0.54, p < 0.0001).
In patients with mixed heart valve disease NT-proBNP and spirometry provide a more reliable assessment of functional capacity than assessment by echocardiography and symptoms alone.
评估心脏瓣膜病对功能能力的影响对于手术时机的选择非常重要。
确定氨基末端脑钠肽前体(NT-proBNP)和肺功能测定是否能预测混合心脏瓣膜病患者心肺运动试验中的最大耗氧量(pVO(2))。
对 45 例主动脉瓣、二尖瓣和/或三尖瓣中重度狭窄和/或反流的临床稳定患者进行研究。通过超声心动图、NT-proBNP、第 1 秒用力呼气量(FEV1)和用力肺活量(FVC)来确定预测 pVO(2)受损的能力。
单因素分析表明,NT-proBNP 的自然对数值比瓣膜严重程度评分(r(2)=0.20,p=0.002)、肺动脉压(r(2)=0.21,p=0.005)、左心房面积指数(r(2)=0.25,p=0.001)或左室射血分数(r(2)=0.02,p=0.4)更能解释 pVO(2)的变化。低瘦体重(r(2)=0.21,p=0.002)、FEV1(r(2)=0.26,p=0.0003)和 FVC(r(2)=0.20,p=0.002)也与 pVO(2)相关。多变量分析表明,pVO(2)的独立决定因素是 NT-proBNP(r(2)=0.27,p=0.001)、FVC(r(2)=0.20,p=0.0002)和瘦体重(r(2)=0.23,p=0.001)。NT-proBNP 和 FVC 联合预测 pVO(2)<60%(C 统计值=0.83,95%CI 0.71,0.95)优于单独预测 NT-proBNP(C=0.80,95%CI 0.66,0.94)或 FVC(C=0.73,95%CI 0.57,0.89)。NT-proBNP、FVC 和年龄也预测心肺运动试验中过度通气(联合 r(2)=0.54,p<0.0001)。
在混合心脏瓣膜病患者中,NT-proBNP 和肺功能测定比超声心动图和症状单独评估更能可靠地评估功能能力。