IFMK Rouen , Rouen , France.
UNIROUEN, Institute for Research and Innovation in Biomedicine (IRIB), UPRESS EA 3830, GRHV , Rouen , France.
COPD. 2019 Aug;16(3-4):261-265. doi: 10.1080/15412555.2019.1645106. Epub 2019 Aug 7.
Early diagnosis of COPD exacerbations is vital. Exacerbations are characterised by an increase in dyspnoea that could be affect physical capacity. Changes in the physical capacity of patients with COPD during pulmonary rehabilitation could provide a predictive indication regarding the occurrence of exacerbation. This was a retrospective study of forty for patients with COPD who participated in a pulmonary rehabilitation programme between January 2015 and October 2018. Patients to have experienced at least one exacerbation during their pulmonary rehabilitation programme are included. The performance variable and dyspnoea on the cycle ergometer and the treadmill were collected during the five sessions prior to the exacerbation and the three sessions following the exacerbation. Seventy exacerbations were analysed. We found a significant decrease in the performance on the cycle ergometer during the last session before exacerbation compared with previous sessions (mean difference: 74.5% (95%CI 12.6-136.5); < 0.01). The optimal threshold value was a 17% decrease in performance compared to the previous training session. Sensitivity was 0.46 (95%CI 0.34-0.59), specificity was 0.83 (95%CI 0.72-0.91) and the area under the curve was 0.65 (95%CI 0.56-0.74) ( < 0.01). The analysis of performance data from cycle ergometer is a potentially useful method to predict the occurrence of exacerbation.
早期诊断 COPD 加重至关重要。加重的特征是呼吸困难增加,这可能会影响身体能力。在肺康复期间 COPD 患者的身体能力变化可以提供发生加重的预测指标。这是一项回顾性研究,共纳入 40 名在 2015 年 1 月至 2018 年 10 月期间参加肺康复计划的 COPD 患者。纳入标准为患者在肺康复计划期间至少经历过一次加重。在加重前的 5 次和加重后的 3 次训练中,收集了患者在踏车和跑步机上的运动变量和呼吸困难数据。共分析了 70 次加重。我们发现,在加重前的最后一次训练中,患者在踏车上的运动表现与之前的训练相比显著下降(平均差异:74.5%(95%CI 12.6-136.5); < 0.01)。与前一次训练相比,运动表现下降 17%是最佳的预测阈值。敏感性为 0.46(95%CI 0.34-0.59),特异性为 0.83(95%CI 0.72-0.91),曲线下面积为 0.65(95%CI 0.56-0.74)( < 0.01)。分析踏车运动表现数据是预测加重发生的一种潜在有用的方法。