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]
日期:2023-03-01
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 .
科研通智能强力驱动
Strongly Powered by AbleSci AI