COPD and multimorbidity: recognising and addressing a syndemic occurrence

医学 慢性阻塞性肺病 多发病率 重症监护医学 同音 疾病 共病 肺病 慢性病 内科学 病理 公共卫生
作者
Leonardo M. Fabbri,Bartolomé R. Celli,Àlvar Agustí,Gerard J. Criner,Mark T. Dransfield,Miguel Divo,Jamuna K. Krishnan,Lies Lahousse,María Montes de,Sundeep Salvi,Daiana Stolz,Lowie E.G.W. Vanfleteren,Claus Vogelmeier
出处
期刊:The Lancet Respiratory Medicine [Elsevier BV]
卷期号:11 (11): 1020-1034 被引量:100
标识
DOI:10.1016/s2213-2600(23)00261-8
摘要

Summary

Most patients with chronic obstructive pulmonary disease (COPD) have at least one additional, clinically relevant chronic disease. Those with the most severe airflow obstruction will die from respiratory failure, but most patients with COPD die from non-respiratory disorders, particularly cardiovascular diseases and cancer. As many chronic diseases have shared risk factors (eg, ageing, smoking, pollution, inactivity, and poverty), we argue that a shift from the current paradigm in which COPD is considered as a single disease with comorbidities, to one in which COPD is considered as part of a multimorbid state—with co-occurring diseases potentially sharing pathobiological mechanisms—is needed to advance disease prevention, diagnosis, and management. The term syndemics is used to describe the co-occurrence of diseases with shared mechanisms and risk factors, a novel concept that we propose helps to explain the clustering of certain morbidities in patients diagnosed with COPD. A syndemics approach to understanding COPD could have important clinical implications, in which the complex disease presentations in these patients are addressed through proactive diagnosis, assessment of severity, and integrated management of the COPD multimorbid state, with a patient-centred rather than a single-disease approach.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
ZR666888完成签到,获得积分10
2秒前
okghy发布了新的文献求助10
3秒前
3秒前
王萍23333发布了新的文献求助10
4秒前
5秒前
6秒前
龍咳发布了新的文献求助10
7秒前
小慈爱鸡发布了新的文献求助10
8秒前
豆浆烩面发布了新的文献求助10
9秒前
吱哦周完成签到,获得积分10
10秒前
风中寄灵完成签到,获得积分10
10秒前
LLLLLLF完成签到 ,获得积分10
11秒前
SYLH应助CJ采纳,获得10
13秒前
彭于晏应助shadow采纳,获得10
13秒前
风中寄灵发布了新的文献求助10
14秒前
15秒前
领导范儿应助swtdna采纳,获得10
15秒前
Andy完成签到,获得积分10
15秒前
16秒前
852应助Animagus采纳,获得10
17秒前
17秒前
17秒前
Akim应助yiyiyi采纳,获得10
17秒前
852应助刘一一采纳,获得10
18秒前
章英健发布了新的文献求助10
20秒前
20秒前
20秒前
王王的狗子完成签到 ,获得积分10
20秒前
orixero应助酷炫半蕾采纳,获得10
21秒前
在水一方应助小胖胖采纳,获得10
21秒前
量子星尘发布了新的文献求助10
22秒前
23秒前
谨慎初曼完成签到,获得积分10
23秒前
青衣发布了新的文献求助10
23秒前
李健应助咩咩采纳,获得10
23秒前
小蘑菇应助科研通管家采纳,获得10
23秒前
Lucas应助科研通管家采纳,获得10
23秒前
24秒前
高分求助中
(禁止应助)【重要!!请各位详细阅读】【科研通的精品贴汇总】 10000
Semantics for Latin: An Introduction 1099
Biology of the Indian Stingless Bee: Tetragonula iridipennis Smith 1000
War and Peace in the Borderlands of Myanmar: The Kachin Ceasefire, 1994-2011 800
Robot-supported joining of reinforcement textiles with one-sided sewing heads 740
2024-2030年中国石英材料行业市场竞争现状及未来趋势研判报告 500
镇江南郊八公洞林区鸟类生态位研究 500
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 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4141515
求助须知:如何正确求助?哪些是违规求助? 3677856
关于积分的说明 11625441
捐赠科研通 3371628
什么是DOI,文献DOI怎么找? 1852091
邀请新用户注册赠送积分活动 914927
科研通“疑难数据库(出版商)”最低求助积分说明 829551