Response to physical rehabilitation and recovery trajectories following critical illness: individual participant data meta-analysis protocol.
adult intensive & critical care
intensive & critical care
rehabilitation medicine
Journal
BMJ open
ISSN: 2044-6055
Titre abrégé: BMJ Open
Pays: England
ID NLM: 101552874
Informations de publication
Date de publication:
04 05 2020
04 05 2020
Historique:
entrez:
7
5
2020
pubmed:
7
5
2020
medline:
18
2
2021
Statut:
epublish
Résumé
The number of inconclusive physical rehabilitation randomised controlled trials for patients with critical illness is increasing. Evidence suggests critical illness patient subgroups may exist that benefit from targeted physical rehabilitation interventions that could improve their recovery trajectory. We aim to identify critical illness patient subgroups that respond to physical rehabilitation and map recovery trajectories according to physical function and quality of life outcomes. Additionally, the utilisation of healthcare resources will be examined for subgroups identified. This is an individual participant data meta-analysis protocol. A systematic literature review was conducted for randomised controlled trials that delivered additional physical rehabilitation for patients with critical illness during their acute hospital stay, assessed chronic disease burden, with a minimum follow-up period of 3 months measuring performance-based physical function and health-related quality of life outcomes. From 2178 records retrieved in the systematic literature review, four eligible trials were identified by two independent reviewers. Principal investigators of eligible trials were invited to contribute their data to this individual participant data meta-analysis. Risk of bias will be assessed (Cochrane risk of bias tool for randomised trials). Participant and trial characteristics, interventions and outcomes data of included studies will be summarised. Meta-analyses will entail a one-stage model, which will account for the heterogeneity across and the clustering between studies. Multiple imputation using chained equations will be used to account for the missing data. This individual participant data meta-analysis does not require ethical review as anonymised participant data will be used and no new data collected. Additionally, eligible trials were granted approval by institutional review boards or research ethics committees and informed consent was provided for participants. Data sharing agreements are in place permitting contribution of data. The study findings will be disseminated at conferences and through peer-reviewed publications. CRD42019152526.
Identifiants
pubmed: 32371516
pii: bmjopen-2019-035613
doi: 10.1136/bmjopen-2019-035613
pmc: PMC7223158
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e035613Subventions
Organisme : Chief Scientist Office
ID : CZH/4/531
Pays : United Kingdom
Organisme : NINR NIH HHS
ID : R01 NR011051
Pays : United States
Organisme : Chief Scientist Office [UK]
ID : CZH/4/531
Pays : International
Organisme : NHLBI NIH HHS
ID : K24 HL089223
Pays : United States
Investigateurs
Sue Berney
(S)
Michael J Berry
(MJ)
Linda Denehy
(L)
D Clark Files
(D)
David M Griffith
(DM)
Jennifer R A Jones
(JRA)
Peter E Morris
(PE)
Marc Moss
(M)
Amy Nordon-Craft
(A)
Zudin Puthucheary
(Z)
Timothy Walsh
(T)
Informations de copyright
© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
Déclaration de conflit d'intérêts
Competing interests: None declared.
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