Clinical characteristics, radiological features, and disease severity of bronchiectasis according to the spirometric pattern

根据肺功能测定模式,分析支气管扩张的临床特征、放射学特征和疾病严重程度

阅读:1

Abstract

Bronchiectasis show various ventilatory disorders in pulmonary function. The characteristics and severity of patients with bronchiectasis according to these pulmonary dysfunctions are still very limited. This study aimed to evaluate the clinical, radiologic feature and the disease severity of patients with bronchiectasis according to spirometric patterns. We retrospectively evaluated 506 patients with bronchiectasis who underwent pulmonary lung function test (PFT) at a referral hospital between 2014 to 2021. The results showed that cylindrical type was the most common (70.8%) type of bronchiectasis on chest Computed tomography (CT), and 70% of patients had bilateral lung involvement. On the other hand, obstructive ventilatory disorder was the most common (51.6%), followed by normal ventilation (30%) and restrictive ventilatory disorder (18.4%). The modified Medical Research Council (mMRC) was highest in patients with obstructive ventilatory disorders, Modified Reiff score [median (interquartile range)] [6 (3-10), P < 0.001], FACED (FEV(1), Age, Chronic colonization, Extension, and Dyspnea) score [3 (1-4), P < 0.001], and Bronchiectasis Severity (BSI) score [8 (5-11), P < 0.001] showed significantly highest values of obstructive ventilatory disorder rather than restrictive ventilatory disorder and normal ventilation. More than half of patients with bronchiectasis had obstructive ventilatory disorder. Bronchiectasis with obstructive ventilatory disorders has more dyspnea symptom, more disease severity and more radiologic severity. There was no significant association between spirometric pattern and radiologic type, but the more severe the radiologic severity, the more severe the lung function impairment.

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。