当前位置: X-MOL 学术Respir. Physiol. Neurobiol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Area under flow-volume loop may predict severe exacerbation in COPD patients with high grade of dyspnea
Respiratory Physiology & Neurobiology ( IF 2.3 ) Pub Date : 2021-08-03 , DOI: 10.1016/j.resp.2021.103771
Celal Satici 1 , Mustafa Asim Demirkol 2 , Burcu Arpinar Yigitbas 1 , Aysegül Erinc 1 , Ayse Filiz Kosar 1
Affiliation  

Objective

Exacerbations in patients with COPD may still be unpredictable, although the general risk factors have been well defined. We aimed to determine the role of a novel parameter, area under flow-volume loop, in predicting severe exacerbations.

Methods

In this single-centre retrospective cohort study, 81 COPD patients over 40 years of age with high grade of dyspnea (having a CAT score of ≥10) and a history of ≥1 moderate exacerbation in the previous year were included. Area under flow-volume curve (AreaFE%) was obtained from pulmonary function test graph and calculated from Matlab programme. Univariate and multivariate logistic regression analyses were performed to determine independent risk factors of the severe exacerbation.

Results

Patients with severe exacerbation (n = 70, 86.4 %) were older. They had lower FEV1%, FVC%, 6MWD, AreaFE% and higher CAT score than patients without exacerbation. After performing multivariate analysis, high CAT score and low AreaFE% value were found to be independent risk factors for severe exacerbation (OR: 1.12, 95 % CI: 1.065–1.724; p = 0.01 and OR: 1.18, 95 % CI: 0.732−0.974; p = 0.02).

Conclusions

We found that a low AreaFE% value was an independent risk factor in addition to a high CAT score and these both have an excellent discriminative ability in predicting the risk of severe exacerbation



中文翻译:

流量-容积环下面积可预测重度呼吸困难 COPD 患者的严重恶化

客观的

尽管一般危险因素已明确定义,但 COPD 患者的病情恶化仍可能无法预测。我们的目的是确定一个新的参数,即流量-体积回路下的面积,在预测严重恶化中的作用。

方法

在这项单中心回顾性队列研究中,纳入了 81 名年龄超过 40 岁、有重度呼吸困难(CAT 评分≥10)和上一年有≥1 次中度加重病史的 COPD 患者。流量-容积曲线下面积(AreaFE%)由肺功能测试图获得,并由 Matlab 程序计算。进行单变量和多变量逻辑回归分析以确定严重恶化的独立危险因素。

结果

严重恶化的患者 (n = 70, 86.4 %) 年龄较大。与没有恶化的患者相比,他们的 FEV1%、FVC%、6MWD、AreaFE% 和更高的 CAT 评分。进行多变量分析后,发现高 CAT 评分和低 AreaFE% 值是严重恶化的独立危险因素(OR:1.12,95 % CI:1.065-1.724;p = 0.01 和 OR:1.18,95 % CI:0.732- 0.974;p = 0.02)。

结论

我们发现,除了较高的 CAT 评分外,较低的 AreaFE% 值是一个独立的风险因素,并且在预测严重恶化的风险方面都具有出色的判别能力

更新日期:2021-08-09
down
wechat
bug