Taga Shu, Taniguchi Hiroyuki, Watanabe Naohiro, Kondoh Yasuhiro, Kimura Tomoki, Kataoka Kensuke, Aso Hiromichi, Sakamoto Koji, Hasegawa Yoshinori
Department of Respiratory Medicine, Daiyukai General Hospital, Japan.
Intern Med. 2013;52(16):1781-6. doi: 10.2169/internalmedicine.52.0339. Epub 2012 Mar 1.
Predictors of the need to initiate noninvasive ventilation (NIV) in stable COPD outpatients with acute exacerbation of chronic obstructive pulmonary disease (COPD-AE) are insufficiently defined. The objective of this study was to investigate predictors of the need to initiate NIV in stable COPD-AE outpatients.
A total of 140 consecutive stable COPD outpatients who were hospitalized for COPD-AE for the first time were retrospectively examined. Demographic and clinical parameters measured in the stable state were evaluated, including data for arterial blood gases, the pulmonary function, body mass index and dyspnea scores.
Of the 140 patients included, NIV was used in 32 (23%) patients. In a univariate Cox proportional hazards analysis, the baseline partial pressure of arterial carbon dioxide (PaCO2) (hazard ratio (HR), 1.14 per mmHg; 95% confidence interval (CI), 1.08-1.21) and forced expiratory volume in one second (FEV1)% predicted (HR, 1.03 per %; 95% CI, 1.01-1.05) were identified to be significant predictors. A multivariate logistic regression analysis showed only the PaCO2 (HR, 1.18 per mmHg; 95% CI, 1.12-1.26) to be a significant predictor.
Our results suggest that the PaCO2 measured in the stable state is an independent significant predictor of the need to initiate NIV in COPD-AE patients who are hospitalized for the first time.
对于慢性阻塞性肺疾病急性加重期(COPD-AE)的稳定期慢性阻塞性肺疾病(COPD)门诊患者,启动无创通气(NIV)需求的预测因素尚未得到充分界定。本研究的目的是调查稳定期COPD-AE门诊患者启动NIV需求的预测因素。
对140例因COPD-AE首次住院的连续稳定期COPD门诊患者进行回顾性检查。评估稳定状态下测量的人口统计学和临床参数,包括动脉血气数据、肺功能、体重指数和呼吸困难评分。
在纳入的140例患者中,32例(23%)患者使用了NIV。在单变量Cox比例风险分析中,动脉血二氧化碳分压(PaCO2)基线值(风险比(HR),每mmHg为1.14;95%置信区间(CI),1.08-1.21)和预测的一秒用力呼气容积(FEV1)%(HR,每%为1.03;95%CI,1.01-1.05)被确定为显著预测因素。多变量逻辑回归分析显示,只有PaCO2(HR,每mmHg为1.18;95%CI,1.12-1.26)是显著预测因素。
我们的结果表明,在稳定状态下测量的PaCO2是首次因COPD-AE住院患者启动NIV需求的独立显著预测因素。