Expiratory Muscle Strength, Peak Oxygen Consumption and Hyperinflation Predicts Severe Exacerbation in Chronic Obstructive Pulmonary Disease Patients

呼气肌力、峰值耗氧量和肺过度充气可预测慢性阻塞性肺疾病患者的严重急性加重

阅读:1

Abstract

OBJECTIVE: To explore the predictive ability of physiological and clinical parameters, including respiratory muscle strength, peak oxygen consumption, exercise capacity assessed by the six-minute walk distance (6MWD), pulmonary function, and arterial blood gas for identifying patients with chronic obstructive pulmonary disease (COPD) who are at risk of frequent severe acute exacerbations. MATERIAL AND METHODS: This retrospective, observational study analyzed data from 265 patients who were hospitalized for severe exacerbations between January 1(st), 2018 to February 28(th),, 2024. Patients were classified as infrequent or frequent exacerbators based on the annual frequency of severe exacerbations. Binary logistic regression models were used to identify independent predictors, adjusting for clinically relevant covariates. RESULTS: In adjusted multivariate analysis, maximal expiratory pressure [odds ratio (OR): 0.989; 95% confidence interval (CI): 0.980-0.998; P = 0.014], 6MWD (OR: 0.997; 95% CI: 0.994-1.000; P = 0.028), 6MWD% (OR: 0.985; 95% CI: 0.970-0.999; P = 0.041), peak oxygen consumption (OR: 0.874; 95% CI: 0.776-0.986; P = 0.028), residual volume (OR: 1.006; 95% CI: 1.001-1.011; P = 0.017), and functional residual capacity (OR: 1.008; 95% CI: 1.001-1.014; P = 0.028) emerged as significant predictors of frequent severe exacerbations. CONCLUSION: Expiratory muscle weakness, reduced peak oxygen consumption, diminished exercise capacity, and pulmonary hyperinflation are independent predictors of frequent severe acute exacerbations in patients with COPD. Incorporating these parameters into routine assessments may enhance risk stratification and goal-directed therapies, and potentially reduce hospitalization rates.

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。