Mortality in a cohort of COPD patients according to their clinical phenotype

作者
Laura Castellanos López,Guillermo Ansede-Bordonaba,Patricia Pérez González,Elena García Castillo,Tamara Alonso
标识
DOI:10.1183/13993003.congress-2024.pa3035
摘要

Introduction: COPD is a prevalent and underdiagnosed disease. It had been suggested that grouping COPD patients in phenotypes(PTP) according to their attributes might be useful for their management and prognosis. Our aim was to assess the mortality in our COPD patients according to their clinical phenotype Methods: Observational study of 756 confirmed COPD patients with a prospective follow-up in a COPD clinic from 2009 to 2019. They were classified into PTP: non-exacerbator(NONEX), emphysematous exacerbator(EMPEX), chronic bronchitis exacerbator(CBEX) and asthma-COPD-overlap(ACO). Mortality was analyzed in 2024(15 years of follow-up). Functional and clinical variables were collected Results: 66% were men with a mean age of 75,5±8,9 years. Distribution according to PTP was: NONEX(54.6%), EMPEX(21.8%), CBEX(15.4%) and ACO(8.2%), with p<0.05 in variables analyzed by PTP. During follow-up, there were 355 deaths(47% of patients) with statistical significance in survival time by PTP shown in the Kaplan-Meier survival curve(log rank p<0,0001). EMPEX had the highest mortality rate. Different causes of death were analyzed by PTP: 26% of NONEX died of pneumonia; while 28% of CBEX and 50% of EMPEX died of COPD exacerbation(p<0,0001). Results of univariate and multivariate Cox proportional hazard analyses showed that male sex, dyspnea, coronary heart disease, lung cancer, Charlson index and COPD PTP(NONEX, EMPEX and CBEX) were associated with high COPD mortality, while higher BMI was associated with lower mortality Conclusion: In our 15-year study, statistical significance was identified according to different PTP in terms of survival with a higher mortality in EMPEX patients. Also, some causes of death are more prevalent by PTP

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
搜集达人的应助被sun采纳,获得10
1秒前
2秒前
脑洞疼的应助被阿巴阿巴采纳,获得10
2秒前
fanfan完成签到 ,获得积分10
2秒前
ASHAISHAI完成签到,获得积分10
2秒前
www完成签到,获得积分10
3秒前
4秒前
小咩发布了新的文献求助10
4秒前
天天快乐的应助被李xy采纳,获得10
6秒前
yulk完成签到,获得积分10
6秒前
英姑的应助被南柯一梦采纳,获得10
6秒前
sqgg发布了新的文献求助10
6秒前
今后的应助被马铣飞采纳,获得10
6秒前
哇哦发布了新的文献求助10
7秒前
舒心乐蓉完成签到,获得积分10
7秒前
7秒前
8秒前
9秒前
生动的向日葵完成签到,获得积分10
9秒前
酷波er的应助被古月味动力采纳,获得10
9秒前
舒适的如萱的应助被resetttttt采纳,获得10
9秒前
李健的粉丝团团长的应助被111采纳,获得10
10秒前
11秒前
赘婿的应助被htt采纳,获得10
13秒前
隐形平灵发布了新的文献求助10
13秒前
linlin发布了新的文献求助10
13秒前
13秒前
13秒前
哈哈哈完成签到,获得积分10
14秒前
14秒前
mei完成签到,获得积分10
14秒前
自觉的流沙完成签到 ,获得积分10
15秒前
sqgg完成签到 ,获得积分10
15秒前
科目三的应助被不安的小刺猬采纳,获得10
16秒前
李爱国的应助被neil采纳,获得10
16秒前
mmmmmu发布了新的文献求助10
17秒前
connie发布了新的文献求助10
18秒前
18秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
From Scaling and Perturbation to Stability 5000
Les Mantodea De Guyane 2000
Energie-Contracting 1500
Stochastic Models in Operations Research,Vol. 2 600
Problems and Solutions for Integer and Combinatorial Optimization: Building Skills in Discrete Optimization 600
Organizational Behavior 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8030657
求助须知:如何正确求助?哪些是违规求助? 9469807
关于积分的说明 21240137
捐赠科研通 7600494
什么是DOI,文献DOI怎么找? 3388508
关于科研通互助平台的介绍 2520825
邀请新用户注册赠送积分活动 2425335