The CT pulmonary vascular parameters and disease severity in COPD patients on acute exacerbation: a correlation analysis

医学 慢性阻塞性肺病 恶化 内科学 心脏病学 肺病
作者
Tao Yang,Chi‐Hua Chen,Zhongyuanlong Chen
出处
期刊:BMC Pulmonary Medicine [BioMed Central]
卷期号:21 (1) 被引量:9
标识
DOI:10.1186/s12890-020-01374-6
摘要

Abstract Background It is necessary to analyze the CT pulmonary vascular parameters and disease severity in chronic obstructive pulmonary disease (COPD) patients to provide evidence support for the management of COPD. Methods COPD patients on acute exacerbation admitted to our hospital from COPD patients from January 2019 to March 2020 was selected. The characteristics and ratio of the cross-sectional area (CSA) of small pulmonary vessels to the total area of the lung field, and the ratio of pulmonary artery and aorta (PA/A) cross-sectional diameter in patients with COPD were analyzed. Results A total of 128 COPD patients were included. There were significant differences in the duration of COPD, smoking history, the PaO 2 , PaCO 2 , pH, and FEV1, FVC and FEV1/FVC among COPD patients with different severity (all p < 0.05). The duration of COPD, smoking, PaO 2 , PaCO 2 , CSA and PA/A were correlated with the COPD severity (all p < 0.05). Both CSA, PA/A were correlated with post BD FEV1 (all p < 0.05). The cutoff value of CSA and PA/A for the diagnosis of severe COPD was 0.61 and 0.87 respectively, and the AUC of CSA and PA/A for the diagnosis of severe COPD was 0.724 and 0.782 respectively. Conclusions Patients with CSA ≤ 0.61 and PA/A ≥ 0.87 may have higher risks for severe COPD, and more studies are needed in the future to further elucidate the management of COPD.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
1秒前
1秒前
3秒前
5秒前
呼呼呼发布了新的文献求助10
5秒前
5秒前
落后十八发布了新的文献求助20
6秒前
6秒前
7秒前
7秒前
11完成签到,获得积分10
8秒前
8秒前
科研通AI5应助锦哥采纳,获得80
9秒前
9秒前
9秒前
知了完成签到,获得积分10
9秒前
10秒前
11发布了新的文献求助10
10秒前
11秒前
11秒前
12秒前
12秒前
xukaixuan001发布了新的文献求助10
13秒前
Leeny发布了新的文献求助10
13秒前
13秒前
13秒前
小二郎应助shuang采纳,获得10
14秒前
KevenDing完成签到,获得积分10
14秒前
14秒前
ding应助研友_Ze2vV8采纳,获得10
14秒前
兴奋仙人掌完成签到,获得积分10
14秒前
orixero应助知道采纳,获得10
15秒前
15秒前
吴未完成签到,获得积分10
15秒前
pluto应助粗心的胜采纳,获得10
16秒前
余姓懒完成签到,获得积分10
16秒前
16秒前
16秒前
17秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Musculoskeletal Pain - Market Insight, Epidemiology And Market Forecast - 2034 2000
Animal Physiology 2000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Am Rande der Geschichte : mein Leben in China / Ruth Weiss 1500
CENTRAL BOOKS: A BRIEF HISTORY 1939 TO 1999 by Dave Cope 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3743446
求助须知:如何正确求助?哪些是违规求助? 3286024
关于积分的说明 10048994
捐赠科研通 3002666
什么是DOI,文献DOI怎么找? 1648306
邀请新用户注册赠送积分活动 784617
科研通“疑难数据库(出版商)”最低求助积分说明 750780