Pulmonary Research Institute at Hospital Grosshansdorf, University of Luebeck, Luebeck, Germany.
Hospital Grosshansdorf Center for Pneumology and Thoracic Surgery, University of Luebeck, Luebeck, Germany.
Chest. 2011 Aug;140(2):331-342. doi: 10.1378/chest.10-2521. Epub 2011 Jan 27.
Systemic effects of COPD are incompletely reflected by established prognostic assessments. We determined the prognostic value of objectively measured physical activity in comparison with established predictors of mortality and evaluated the prognostic value of noninvasive assessments of cardiovascular status, biomarkers of systemic inflammation, and adipokines.
In a prospective cohort study of 170 outpatients with stable COPD (mean FEV(1), 56% predicted), we assessed lung function by spirometry and body plethysmography; physical activity level (PAL) by a multisensory armband; exercise capacity by 6-min walk distance test; cardiovascular status by echocardiography, vascular Doppler sonography (ankle-brachial index [ABI]), and N-terminal pro-B-type natriuretic peptide level; nutritional and muscular status by BMI and fat-free mass index; biomarkers by levels of high-sensitivity C-reactive protein, IL-6, fibrinogen, adiponectin, and leptin; and health status, dyspnea, and depressive symptoms by questionnaire. Established prognostic indices were calculated. The median follow-up was 48 months (range, 10-53 months).
All-cause mortality was 15.4%. After adjustments, each 0.14 increase in PAL was associated with a lower risk of death (hazard ratio [HR], 0.46; 95% CI, 0.33-0.64; P < .001). Compared with established predictors, PAL showed the best discriminative properties for 4-year survival (C statistic, 0.81) and was associated with the highest relative risk of death per standardized decrease. Novel predictors of mortality were adiponectin level (HR, 1.34; 95% CI, 1.06-1.71; P = .017), leptin level (HR, 0.81; 95% CI, 0.65-0.99; P = .042), right ventricular function (Tei-index) (HR, 1.26; 95% CI, 1.04-1.54; P = .020), and ABI < 1.00 (HR, 3.87; 95% CI, 1.44-10.40; P = .007). A stepwise Cox regression revealed that the best model of independent predictors was PAL, adiponectin level, and ABI. The composite of these factors further improved the discriminative properties (C statistic, 0.85).
We found that objectively measured physical activity is the strongest predictor of all-cause mortality in patients with COPD. In addition, adiponectin level and vascular status provide independent prognostic information in our cohort.
慢性阻塞性肺疾病(COPD)的全身影响不能通过已建立的预后评估完全反映。我们确定了客观测量的身体活动与死亡率的既定预测因素相比的预后价值,并评估了心血管状态、全身炎症生物标志物和脂肪因子的非侵入性评估的预后价值。
在一项对 170 例稳定期 COPD 门诊患者(平均 FEV1,预测值的 56%)的前瞻性队列研究中,我们通过肺量计和体积描记法评估肺功能;通过多传感器臂带评估身体活动水平(PAL);通过 6 分钟步行距离试验评估运动能力;通过超声心动图、血管多普勒超声(踝臂指数 [ABI])和 N 端脑利钠肽前体水平评估心血管状态;通过 BMI 和去脂体重指数评估营养和肌肉状况;通过高敏 C 反应蛋白、IL-6、纤维蛋白原、脂联素和瘦素水平评估生物标志物;通过问卷评估健康状况、呼吸困难和抑郁症状。计算了既定的预后指标。中位随访时间为 48 个月(范围 10-53 个月)。
全因死亡率为 15.4%。调整后,PAL 每增加 0.14,死亡风险降低(风险比 [HR],0.46;95%CI,0.33-0.64;P<0.001)。与既定的预测因素相比,PAL 对 4 年生存率的区分能力最佳(C 统计量,0.81),与标准化降低相关的死亡风险最高。死亡率的新预测因素包括脂联素水平(HR,1.34;95%CI,1.06-1.71;P=0.017)、瘦素水平(HR,0.81;95%CI,0.65-0.99;P=0.042)、右心室功能(Tei 指数)(HR,1.26;95%CI,1.04-1.54;P=0.020)和 ABI<1.00(HR,3.87;95%CI,1.44-10.40;P=0.007)。逐步 Cox 回归显示,独立预测因素的最佳模型是 PAL、脂联素水平和 ABI。这些因素的组合进一步提高了区分能力(C 统计量,0.85)。
我们发现,客观测量的身体活动是 COPD 患者全因死亡率的最强预测因素。此外,脂联素水平和血管状态在我们的队列中提供了独立的预后信息。