亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Phase III, two arm, multi-centre, open label, parallel-group randomised designed clinical investigation of the use of a personalised early warning decision support system to predict and prevent acute exacerbations of chronic obstructive pulmonary disease: ‘Predict & Prevent AECOPD’ – study protocol

医学 慢性阻塞性肺病 恶化 随机对照试验 临床试验 协议(科学) 慢性阻塞性肺疾病急性加重期 重症监护医学 急诊医学 物理疗法 内科学 替代医学 病理
作者
Dalbir Kaur,Rajnikant Mehta,Hugh Jarrett,Sue Jowett,Nicola Gale,Alice Turner,Monica Spiteri,Neil Patel
出处
期刊:BMJ Open [BMJ]
卷期号:13 (3): e061050-e061050 被引量:1
标识
DOI:10.1136/bmjopen-2022-061050
摘要

Introduction With 65 million cases globally, chronic obstructive pulmonary disease (COPD) is the fourth leading cause of death and imposes a heavy burden on patients’ lives and healthcare resources worldwide. Around half of all patients with COPD have frequent (≥2 per year) acute exacerbations of COPD (AECOPD). Rapid readmissions are also common. Exacerbations impact significantly on COPD outcomes, causing significant lung function decline. Prompt exacerbation management optimises recovery and delays the time to the next acute episode. Methods/analysis The Predict & Prevent AECOPD trial is a phase III, two arm, multi-centre, open label, parallel-group individually randomised clinical trial investigating the use of a personalised early warning decision support system (COPDPredict) to predict and prevent AECOPD. We aim to recruit 384 participants and randomise each individual in a 1:1 ratio to either standard self-management plans with rescue medication (RM) (control arm) or COPDPredict with RM (intervention arm). The trial will inform the future standard of care regarding management of exacerbations in COPD patients. The main outcome measure is to provide further validation, as compared with usual care, for the clinical effectiveness of COPDPredict to help guide and support COPD patients and their respective clinical teams in identifying exacerbations early, with an aim to reduce the total number of AECOPD-induced hospital admissions in the 12 months following each patient’s randomisation. Ethics and dissemination This study protocol is reported in accordance with the guidance set out in the Standard Protocol Items: Recommendations for Interventional Trials statement. Predict & Prevent AECOPD has obtained ethical approval in England (19/LO/1939). On completion of the trial and publication of results a lay findings summary will be disseminated to trial participants. Trial registration number NCT04136418 .
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
3秒前
丘比特应助zzy采纳,获得10
3秒前
5秒前
z银时猫猫发布了新的文献求助20
6秒前
科研通AI2S应助科研通管家采纳,获得30
7秒前
脑洞疼应助科研通管家采纳,获得10
7秒前
8秒前
8秒前
32429606完成签到 ,获得积分10
9秒前
13秒前
zzy发布了新的文献求助10
19秒前
21秒前
czz发布了新的文献求助10
26秒前
28秒前
leave完成签到,获得积分10
31秒前
33秒前
善学以致用应助czz采纳,获得10
37秒前
lj完成签到 ,获得积分10
43秒前
白夜完成签到,获得积分10
45秒前
1分钟前
1分钟前
1分钟前
Beyond095完成签到 ,获得积分10
1分钟前
调皮寻双发布了新的文献求助10
1分钟前
czz完成签到,获得积分20
1分钟前
1分钟前
敏静完成签到,获得积分10
1分钟前
1分钟前
XXXX完成签到,获得积分20
1分钟前
爱听歌忆寒完成签到,获得积分10
1分钟前
科研通AI5应助风中尔云采纳,获得10
1分钟前
2分钟前
欣喜的人龙完成签到 ,获得积分10
2分钟前
2分钟前
上官若男应助zzzjh采纳,获得10
2分钟前
我是老大应助山山而川采纳,获得10
2分钟前
3分钟前
P_Chem完成签到,获得积分10
3分钟前
山山而川发布了新的文献求助10
3分钟前
Xx完成签到,获得积分10
3分钟前
高分求助中
Introduction to Strong Mixing Conditions Volumes 1-3 500
Tip60 complex regulates eggshell formation and oviposition in the white-backed planthopper, providing effective targets for pest control 400
Optical and electric properties of monocrystalline synthetic diamond irradiated by neutrons 320
共融服務學習指南 300
Essentials of Pharmacoeconomics: Health Economics and Outcomes Research 3rd Edition. by Karen Rascati 300
Peking Blues // Liao San 300
Political Ideologies Their Origins and Impact 13 edition 240
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 3800920
求助须知:如何正确求助?哪些是违规求助? 3346424
关于积分的说明 10329280
捐赠科研通 3062940
什么是DOI,文献DOI怎么找? 1681256
邀请新用户注册赠送积分活动 807463
科研通“疑难数据库(出版商)”最低求助积分说明 763713