已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Prediction of mortality in patients with chronic obstructive pulmonary disease with the new Global Initiative for Chronic Obstructive Lung Disease 2017 classification: a cohort study

医学 慢性阻塞性肺病 肺病 阻塞性肺病 丹麦语 队列 内科学 疾病 肺病 队列研究 梅德林 流行病学 慢性病 重症监护医学 回顾性队列研究 急诊医学 呼吸道疾病 前瞻性队列研究 共病 疾病严重程度 临床试验
作者
Anne Gedebjerg,Szimonetta Komjáthiné Szépligeti,Laura-Maria Holm Wackerhausen,Erzsébet Horváth–Puhó,Ronald Dahl,Jens Hansen,Henrik Toft Sørensen,Mette Nørgaard,Peter Lange,Reimar W. Thomsen
出处
期刊:The Lancet Respiratory Medicine [Elsevier]
卷期号:6 (3): 204-212 被引量:80
标识
DOI:10.1016/s2213-2600(18)30002-x
摘要

The Global Initiative for Chronic Obstructive Lung Disease (GOLD) 2017 classification separates the spirometric 1-4 staging from the ABCD groups defined by symptoms and exacerbations. Little is known about how this new classification predicts mortality in patients with chronic obstructive pulmonary disease (COPD). We aimed to establish the predictive ability of the GOLD 2017 classification, compared with earlier classifications, for all-cause and respiratory mortality, both when using its main ABCD groups and when further subdividing according to spirometric 1-4 staging.In this nationwide cohort study, we enrolled patients with COPD with data available in the Danish registry for COPD. To be included in this registry, individuals must have been outpatients in hospital-based pulmonary clinics in Denmark. Eligible patients were aged 30 years or older; had received a primary diagnosis of COPD (International Classification of Diseases [ICD]-10 J44.X) or acute respiratory failure (ICD-10 J96.X) in combination with COPD (ICD-10 J44.X) as a secondary diagnosis; and had complete data on FEV1, body-mass index, modified Medical Research Council dyspnoea scale score, and smoking status. We categorised eligible patients with complete data according to the 2007, 2011, and 2017 GOLD classifications at the first contact with an outpatient clinic. For the GOLD 2017 classification, we further subdivided the patients by spirometry into 16 subgroups (1A to 4D). We calculated adjusted hazard ratios (HRs) for all-cause and respiratory mortality and compared the predictive ability of the three GOLD classifications (2007, 2011, and 2017) using receiver operating curves.We enrolled 33 765 patients with COPD, who were outpatients in Danish hospitals between Jan 1, 2008, and Nov 30, 2013, in the main cohort assessed for all-cause mortality. 22 621 of these patients had data available on cause-specific mortality (respiratory) and were included in a subcohort followed from Jan 1, 2008, to Dec 31, 2011. For the GOLD 2017 classification, 3 year mortality increased with increasing exacerbations and dyspnoea from group A (all-cause mortality 10·0%, respiratory mortality 3·0%) to group D (all-cause mortality 36·9%, respiratory mortality 18·0%). However, 3 year mortality was higher for group B patients (all-cause mortality 23·8%, respiratory mortality 9·7%) than for group C patients (all-cause mortality 17·4%, respiratory mortality 6·4%). Compared with group A, adjusted HRs for all-cause mortality ranged from 2·05 (95% CI 1·87-2·26) for group B, to 1·47 (1·31-1·65) for group C, and to 3·01 (2·75-3·30) for group D. Area under the curve for all-cause mortality was 0·61 (95% CI 0·60-0·61) for GOLD 2007, 0·61 (0·60-0·62) for GOLD 2011, and 0·63 (0·53-0·73) for GOLD 2017. Area under the curve for respiratory mortality was 0·64 (0·62-0·65) for GOLD 2007, 0·63 (0·62-0·64) for GOLD 2011, and 0·65 (0·53-0·78) for GOLD 2017. The GOLD 2017 classification based on ABCD groups only did not predict mortality better than the earlier 2007 and 2011 GOLD classifications. However, when 16 subgroups (1A to 4D) were defined, the new classification predicted mortality more accurately than the previous systems (p<0·0001).We showed that the new GOLD 2017 ABCD classification does not predict all-cause and respiratory mortality more accurately than the previous GOLD systems from 2007 and 2011.Danish Lung Association, Program for Clinical Research Infrastructure.
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
1秒前
1秒前
风中的香寒完成签到 ,获得积分10
2秒前
完美的水杯完成签到 ,获得积分10
3秒前
深情安青应助siri1313采纳,获得10
4秒前
6秒前
娜娜发布了新的文献求助30
7秒前
sswy完成签到 ,获得积分10
9秒前
南辞发布了新的文献求助30
12秒前
6666完成签到,获得积分10
15秒前
15秒前
李健的小迷弟应助11采纳,获得10
15秒前
15秒前
噜噜晓完成签到 ,获得积分10
16秒前
electricelectric应助娜娜采纳,获得30
20秒前
21秒前
草木完成签到 ,获得积分10
22秒前
祁风完成签到 ,获得积分10
25秒前
27秒前
马宁婧完成签到 ,获得积分10
28秒前
实验耗材完成签到 ,获得积分10
28秒前
29秒前
ximei完成签到,获得积分10
30秒前
深情的友易完成签到 ,获得积分10
34秒前
LLL完成签到,获得积分10
35秒前
36秒前
一个西藏发布了新的文献求助10
43秒前
45秒前
潦草小狗完成签到 ,获得积分10
47秒前
wesley完成签到,获得积分0
48秒前
48秒前
学者风范完成签到 ,获得积分10
49秒前
rita_sun1969完成签到,获得积分10
50秒前
51秒前
子车茗应助ho采纳,获得30
52秒前
make217完成签到 ,获得积分10
53秒前
神外王001完成签到 ,获得积分10
54秒前
猪仔5号完成签到 ,获得积分10
54秒前
54秒前
54秒前
高分求助中
Encyclopedia of Quaternary Science Third edition 2025 12000
(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
HIGH DYNAMIC RANGE CMOS IMAGE SENSORS FOR LOW LIGHT APPLICATIONS 1500
Holistic Discourse Analysis 600
Constitutional and Administrative Law 600
Vertebrate Palaeontology, 5th Edition 530
Fiction e non fiction: storia, teorie e forme 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 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5345415
求助须知:如何正确求助?哪些是违规求助? 4480421
关于积分的说明 13946162
捐赠科研通 4377871
什么是DOI,文献DOI怎么找? 2405468
邀请新用户注册赠送积分活动 1398083
关于科研通互助平台的介绍 1370463