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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

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 C...

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Autores principales: Kaur, Dalbir, Mehta, Rajnikant L, Jarrett, Hugh, Jowett, Sue, Gale, Nicola K, Turner, Alice M, Spiteri, Monica, Patel, Neil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10016266/
https://www.ncbi.nlm.nih.gov/pubmed/36914185
http://dx.doi.org/10.1136/bmjopen-2022-061050
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author Kaur, Dalbir
Mehta, Rajnikant L
Jarrett, Hugh
Jowett, Sue
Gale, Nicola K
Turner, Alice M
Spiteri, Monica
Patel, Neil
author_facet Kaur, Dalbir
Mehta, Rajnikant L
Jarrett, Hugh
Jowett, Sue
Gale, Nicola K
Turner, Alice M
Spiteri, Monica
Patel, Neil
author_sort Kaur, Dalbir
collection PubMed
description 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.
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spelling pubmed-100162662023-03-16 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 Kaur, Dalbir Mehta, Rajnikant L Jarrett, Hugh Jowett, Sue Gale, Nicola K Turner, Alice M Spiteri, Monica Patel, Neil BMJ Open Respiratory Medicine 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. BMJ Publishing Group 2023-03-13 /pmc/articles/PMC10016266/ /pubmed/36914185 http://dx.doi.org/10.1136/bmjopen-2022-061050 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
spellingShingle Respiratory Medicine
Kaur, Dalbir
Mehta, Rajnikant L
Jarrett, Hugh
Jowett, Sue
Gale, Nicola K
Turner, Alice M
Spiteri, Monica
Patel, Neil
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
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Respiratory Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10016266/
https://www.ncbi.nlm.nih.gov/pubmed/36914185
http://dx.doi.org/10.1136/bmjopen-2022-061050
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