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IC3 protocol: a longitudinal observational study of cognition after stroke using novel digital health technology

INTRODUCTION: Stroke is a major cause of death and disability worldwide, frequently resulting in persistent cognitive deficits among survivors. These deficits negatively impact recovery and therapy engagement, and their treatment is consistently rated as high priority by stakeholders and clinicians....

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Autores principales: Gruia, Dragos-Cristian, Trender, William, Hellyer, Peter, Banerjee, Soma, Kwan, Joseph, Zetterberg, Henrik, Hampshire, Adam, Geranmayeh, Fatemeh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10679983/
https://www.ncbi.nlm.nih.gov/pubmed/38000822
http://dx.doi.org/10.1136/bmjopen-2023-076653
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author Gruia, Dragos-Cristian
Trender, William
Hellyer, Peter
Banerjee, Soma
Kwan, Joseph
Zetterberg, Henrik
Hampshire, Adam
Geranmayeh, Fatemeh
author_facet Gruia, Dragos-Cristian
Trender, William
Hellyer, Peter
Banerjee, Soma
Kwan, Joseph
Zetterberg, Henrik
Hampshire, Adam
Geranmayeh, Fatemeh
author_sort Gruia, Dragos-Cristian
collection PubMed
description INTRODUCTION: Stroke is a major cause of death and disability worldwide, frequently resulting in persistent cognitive deficits among survivors. These deficits negatively impact recovery and therapy engagement, and their treatment is consistently rated as high priority by stakeholders and clinicians. Although clinical guidelines endorse cognitive screening for poststroke management, there is currently no gold-standard approach for identifying cognitive deficits after stroke, and clinical stroke services lack the capacity for long-term cognitive monitoring and care. Currently, available assessment tools are either not stroke-specific, not in-depth or lack scalability, leading to heterogeneity in patient assessments. METHODS AND ANALYSIS: To address these challenges, a cost-effective, scalable and comprehensive screening tool is needed to provide a stroke-specific assessment of cognition. The current study presents such a novel digital tool, the Imperial Comprehensive Cognitive Assessment in Cerebrovascular Disease (IC3), designed to detect both domain-general and domain-specific cognitive deficits in patients after stroke with minimal input from a health professional. To ensure its reliability, we will use multiple validation approaches, and aim to recruit a large normative sample of age-matched, gender-matched and education-matched UK-based controls. Moreover, the IC3 assessment will be integrated within a larger prospective observational longitudinal clinical trial, where poststroke cognition will be examined in tandem with brain imaging and blood biomarkers to identify novel multimodal biomarkers of recovery after stroke. This study will enable deeper cognitive phenotyping of patients at a large scale, while identifying those with highest risk of progressive cognitive decline, as well as those with greatest potential for recovery. ETHICS AND DISSEMINATION: This study has been approved by South West—Frenchay Research Ethics Committee (IRAS 299333) and authorised by the UK’s Health Research Authority. Results from the study will be disseminated at conferences and within peer-reviewed journals. TRIAL REGISTRATION NUMBER: NCT05885295. Stage: Pre-results.
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spelling pubmed-106799832023-11-24 IC3 protocol: a longitudinal observational study of cognition after stroke using novel digital health technology Gruia, Dragos-Cristian Trender, William Hellyer, Peter Banerjee, Soma Kwan, Joseph Zetterberg, Henrik Hampshire, Adam Geranmayeh, Fatemeh BMJ Open Neurology INTRODUCTION: Stroke is a major cause of death and disability worldwide, frequently resulting in persistent cognitive deficits among survivors. These deficits negatively impact recovery and therapy engagement, and their treatment is consistently rated as high priority by stakeholders and clinicians. Although clinical guidelines endorse cognitive screening for poststroke management, there is currently no gold-standard approach for identifying cognitive deficits after stroke, and clinical stroke services lack the capacity for long-term cognitive monitoring and care. Currently, available assessment tools are either not stroke-specific, not in-depth or lack scalability, leading to heterogeneity in patient assessments. METHODS AND ANALYSIS: To address these challenges, a cost-effective, scalable and comprehensive screening tool is needed to provide a stroke-specific assessment of cognition. The current study presents such a novel digital tool, the Imperial Comprehensive Cognitive Assessment in Cerebrovascular Disease (IC3), designed to detect both domain-general and domain-specific cognitive deficits in patients after stroke with minimal input from a health professional. To ensure its reliability, we will use multiple validation approaches, and aim to recruit a large normative sample of age-matched, gender-matched and education-matched UK-based controls. Moreover, the IC3 assessment will be integrated within a larger prospective observational longitudinal clinical trial, where poststroke cognition will be examined in tandem with brain imaging and blood biomarkers to identify novel multimodal biomarkers of recovery after stroke. This study will enable deeper cognitive phenotyping of patients at a large scale, while identifying those with highest risk of progressive cognitive decline, as well as those with greatest potential for recovery. ETHICS AND DISSEMINATION: This study has been approved by South West—Frenchay Research Ethics Committee (IRAS 299333) and authorised by the UK’s Health Research Authority. Results from the study will be disseminated at conferences and within peer-reviewed journals. TRIAL REGISTRATION NUMBER: NCT05885295. Stage: Pre-results. BMJ Publishing Group 2023-11-24 /pmc/articles/PMC10679983/ /pubmed/38000822 http://dx.doi.org/10.1136/bmjopen-2023-076653 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 Neurology
Gruia, Dragos-Cristian
Trender, William
Hellyer, Peter
Banerjee, Soma
Kwan, Joseph
Zetterberg, Henrik
Hampshire, Adam
Geranmayeh, Fatemeh
IC3 protocol: a longitudinal observational study of cognition after stroke using novel digital health technology
title IC3 protocol: a longitudinal observational study of cognition after stroke using novel digital health technology
title_full IC3 protocol: a longitudinal observational study of cognition after stroke using novel digital health technology
title_fullStr IC3 protocol: a longitudinal observational study of cognition after stroke using novel digital health technology
title_full_unstemmed IC3 protocol: a longitudinal observational study of cognition after stroke using novel digital health technology
title_short IC3 protocol: a longitudinal observational study of cognition after stroke using novel digital health technology
title_sort ic3 protocol: a longitudinal observational study of cognition after stroke using novel digital health technology
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10679983/
https://www.ncbi.nlm.nih.gov/pubmed/38000822
http://dx.doi.org/10.1136/bmjopen-2023-076653
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