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:258
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
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
温暖发箍发布了新的文献求助10
刚刚
刚刚
蓝天的应助被56jhjl采纳,获得10
1秒前
qiongqiong完成签到,获得积分10
1秒前
L1发布了新的文献求助10
2秒前
2秒前
没救的猴子完成签到 ,获得积分10
2秒前
111关注了科研通微信公众号
2秒前
无花果的应助被兴奋的发卡采纳,获得30
2秒前
3秒前
1号发布了新的文献求助10
4秒前
4秒前
4秒前
xx发布了新的文献求助10
5秒前
Mdead发布了新的文献求助10
5秒前
dangniuma完成签到 ,获得积分10
6秒前
着急的oo完成签到,获得积分10
6秒前
科研通AI6.4的应助被晓峰采纳,获得10
6秒前
797571发布了新的文献求助10
6秒前
CarryLJR发布了新的文献求助10
7秒前
7秒前
黄佳怡发布了新的文献求助10
7秒前
科研通AI6.4的应助被温暖发箍采纳,获得10
8秒前
wzc发布了新的文献求助10
8秒前
怀宁似琛关注了科研通微信公众号
9秒前
9秒前
9秒前
9秒前
老流氓发布了新的文献求助10
10秒前
11秒前
漂亮以彤发布了新的文献求助10
11秒前
云槿完成签到,获得积分10
11秒前
12秒前
Mdead完成签到,获得积分10
12秒前
13秒前
JCF4033发布了新的文献求助10
13秒前
David完成签到,获得积分10
13秒前
v0id的应助被ryan采纳,获得10
14秒前
枝桠上的乌鸦关注了科研通微信公众号
14秒前
kelite发布了新的文献求助10
14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
Aspects of Post-SPE Phonology 2000
Performance standards for antimicrobial disk and dilution susceptibility tests for bacteria isolated from animals 888
Rosenblum, Global Change Biology 800
Holistic Discourse Analysis, Second Edition by Robert E. Longacre (2012-09-10) 666
Final Report for the 2-D Test of Model 901 Rotor and Wing Airfoils (BSWT 592) 528
Berberine regulates the TLR4 signaling pathway to suppress hypoxia-induced proliferation and migration of pulmonary arterial smooth muscle cells 520
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 物理 有机化学 化学工程 内科学 生物化学 复合材料 催化作用 心理学 细胞生物学 无机化学 电极 光电子学 人工智能
热门帖子
关注 科研通微信公众号,转发送积分 7877706
求助须知:如何正确求助?哪些是违规求助? 9392694
关于积分的说明 20795055
捐赠科研通 7479817
什么是DOI,文献DOI怎么找? 3353632
关于科研通互助平台的介绍 2493573
邀请新用户注册赠送积分活动 2380419