Predictors for long-term mortality in COPD patients requiring non-invasive positive pressure ventilation for the treatment of acute respiratory failure

慢性阻塞性肺疾病患者因急性呼吸衰竭需接受无创正压通气治疗,其长期死亡率的预测因素

阅读:2

Abstract

INTRODUCTION: The effectiveness of non-invasive mechanical ventilation (NIV) in the management of COPD patients suffering from acute respiratory failure (ARF) as a consequence of exacerbation of the disease, is well established. However, data on long-term outcomes and their predictors, including the individual response to NIV, are scarce. OBJECTIVES: To investigate predictors for short- and long-term mortality in this study population. METHODS: A retrospective cohort study was performed including all patients admitted to the Medium Respiratory Care Unit of Maastricht University Medical Center in Maastricht, the Netherlands, with hospitalized exacerbation of COPD (H-ECOPD) with ARF requiring NIV for the first time between January 2009 and December 2011. An extensive number of potential predictors of outcomes, including the response to NIV, were determined on admission and during hospitalization. Univariate and multivariate logistic regression was used for statistical analysis. RESULTS: Seventy-eight consecutive patients with moderate to severe COPD (mean age 71.0 ± 10.7 years; 48.7% males) were included; In-hospital, 1-year and 2-year mortality rates were 14.1%, 43.6% and 56.4%, respectively. Independent risk factors for 2-year mortality were: advanced age (odds ratio(OR) 1.025; confidence interval (CI) 1.002-1.049; P = 0.037), prolonged NIV use more than 8 days (OR:1.054;CI:1.006-1.104; P = 0.027) and no successful response to NIV (OR:2.392;CI:1.297-4.413; P = 0.005). CONCLUSION: Patients with an H-ECOPD requiring NIV for the first time, constitute a severely ill patient group with high in-hospital and 2-year mortality. This study identified advanced age, NIV use more than 8 days and unsuccessful response to NIV as clinical important independent predictors for long-term mortality.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。