Design of trials in lacunar stroke and cerebral small vessel disease: review and experience with the LACunar Intervention Trial 2 (LACI-2).

Cerebrovascular Disorders Clinical Trial Cognitive Dysfunction Stroke

Journal

Stroke and vascular neurology
ISSN: 2059-8696
Titre abrégé: Stroke Vasc Neurol
Pays: England
ID NLM: 101689996

Informations de publication

Date de publication:
03 Apr 2024
Historique:
received: 05 12 2023
accepted: 02 03 2024
medline: 4 4 2024
pubmed: 4 4 2024
entrez: 3 4 2024
Statut: aheadofprint

Résumé

Cerebral small vessel disease (cSVD) causes lacunar stroke (25% of ischaemic strokes), haemorrhage, dementia, physical frailty, or is 'covert', but has no specific treatment. Uncertainties about the design of clinical trials in cSVD, which patients to include or outcomes to assess, may have delayed progress. Based on experience in recent cSVD trials, we reviewed ways to facilitate future trials in patients with cSVD.We assessed the literature and the LACunar Intervention Trial 2 (LACI-2) for data to inform choice of Participant, Intervention, Comparator, Outcome, including clinical versus intermediary endpoints, potential interventions, effect of outcome on missing data, methods to aid retention and reduce data loss. We modelled risk of missing outcomes by baseline prognostic variables in LACI-2 using binary logistic regression.Imaging versus clinical outcomes led to larger proportions of missing data. We present reasons for and against broad versus narrow entry criteria. We identified numerous repurposable drugs with relevant modes of action to test in various cSVD subtypes. Cognitive impairment is the most common clinical outcome after lacunar ischaemic stroke but was missing more frequently than dependency, quality of life or vascular events in LACI-2. Assessing cognitive status using Diagnostic and Statistical Manual for Mental Disorders Fifth Edition can use cognitive data from multiple sources and may help reduce data losses.Trials in patients with all cSVD subtypes are urgently needed and should use broad entry criteria and clinical outcomes and focus on ways to maximise collection of cognitive outcomes to avoid missing data.

Identifiants

pubmed: 38569894
pii: svn-2023-003022
doi: 10.1136/svn-2023-003022
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: JMW: chair of ESO Guidelines on cSVD; academic funding; GB: chair, Trainee Subcommittee, British and Irish Association of Stroke Physicians; JPA: External Engagement Lead, British and Irish Association of Stroke Physicians; IM: none; LJW: none; FD: member ESO Guidelines on cSVD, academic funding; PMB: cochair WSO Industry Committee; academic funding.

Auteurs

Gordon Blair (G)

University of Edinburgh, Edinburgh, UK.

Jason P Appleton (JP)

Stroke Trials Unit, Division of Clinical Neuroscience, University of Nottingham, Nottingham, UK.
Stroke, Nottingham University Hospitals NHS Trust, Nottingham, UK.

Iris Mhlanga (I)

Stroke Trials Unit, Division of Clinical Neuroscience, University of Nottingham, Nottingham, UK.

Lisa J Woodhouse (LJ)

Stroke Trials Unit, Division of Clinical Neuroscience, University of Nottingham, Nottingham, UK.

Fergus Doubal (F)

University of Edinburgh, Edinburgh, UK.

Philip M Bath (PM)

Stroke Trials Unit, Division of Clinical Neuroscience, University of Nottingham, Nottingham, UK.

Joanna M Wardlaw (JM)

University of Edinburgh, Edinburgh, UK joanna.wardlaw@ed.ac.uk.

Classifications MeSH