000162971 001__ 162971
000162971 005__ 20251017144653.0
000162971 0247_ $$2doi$$a10.1371/journal.pone.0330255
000162971 0248_ $$2sideral$$a145430
000162971 037__ $$aART-2025-145430
000162971 041__ $$aeng
000162971 100__ $$aMoreno-Loscertales, Cristina$$uUniversidad de Zaragoza
000162971 245__ $$aICTUSCOG: Poststroke cognitive impairment following nondisabling stroke: Study protocol of a spanish multicentre prospective cohort study
000162971 260__ $$c2025
000162971 5060_ $$aAccess copy available to the general public$$fUnrestricted
000162971 5203_ $$aBackground
Stroke is a leading cause of death and disability globally, with frequent cognitive sequelae affecting up to 60% of stroke survivors. Despite the high prevalence of post-stroke cognitive impairment (PSCI), early detection remains underemphasized in clinical practice, with limited focus on broader neuropsychological and affective symptoms. Stroke elevates dementia risk and may act as a trigger for progressive neurodegenerative diseases. However, the underlying neurobiological mechanisms and the interaction between vascular and degenerative pathways are poorly understood. The ICTUSCOG study aims to address these gaps by determining the incidence, predictors and progression factors of PSCI in a prospective, multicenter cohort of nondisabling stroke patients. The work will explore distinct patient profiles, evaluate the role of biomarkers, and develop a predictive model to identify at risk individuals.
Methods
ICTUSCOG is a five-year observational project involving four Spanish centres. Recruitment began in 2022 and includes consecutive patients aged 18–75 with no prior cognitive impairment and nondisabling stroke. Participants undergo detailed neuropsychological, functional, and neuroimaging assessments at baseline, 3, 6, and 12 months, and annually thereafter. Key data include stroke characteristics, vascular risk factors, advanced neuroimaging metrics, and biological biomarkers. Neuropsychological assessments incorporate domain-specific validated tools tailored for stroke patients.
Discussion
The study will quantify the incidence of early and late PSCI, identify predictors of progression, and characterise cognitive profiles. Multivariate models and clustering techniques will explore interactions among clinical, biological and imaging data. A predictive model will be developed and validated for clinical use. ICTUSCOG will provide critical insights into the mechanisms and trajectories of PSCI, informing prevention, early intervention, and rehabilitation strategies. The work aims to establish predictive tools and care pathways to mitigate the burden of cognitive impairment in stroke survivors.
000162971 536__ $$9info:eu-repo/grantAgreement/ES/DGA-B27-23R
000162971 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttps://creativecommons.org/licenses/by/4.0/deed.es
000162971 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000162971 700__ $$aCanasto-Jiménez, Paula
000162971 700__ $$aBautista-Lacambra, Mario$$uUniversidad de Zaragoza
000162971 700__ $$0(orcid)0000-0002-4407-6790$$aSerrano-Ponz, Marta
000162971 700__ $$aCampello-Morer, Isabel
000162971 700__ $$aPalacín-Larroy, Marta$$uUniversidad de Zaragoza
000162971 700__ $$0(orcid)0000-0002-6506-1037$$aTejada-Meza, Herbert$$uUniversidad de Zaragoza
000162971 700__ $$aSierra-Martínez, Esther
000162971 700__ $$0(orcid)0000-0001-6148-0667$$aNavarro López, Jorge$$uUniversidad de Zaragoza
000162971 700__ $$aAlfaro-Almagro, Fidel
000162971 700__ $$aForno-Martinic, Gonzalo
000162971 700__ $$aMarín-Cárdenas, Miguel Ángel
000162971 700__ $$ade la Riva, Patricia
000162971 700__ $$aGándara, Raquel Laspiur
000162971 700__ $$aMarta-Moreno, Eugenia
000162971 700__ $$0(orcid)0000-0003-3574-3034$$aMarta-Moreno, Javier$$uUniversidad de Zaragoza
000162971 7102_ $$11007$$2610$$aUniversidad de Zaragoza$$bDpto. Medicina, Psiqu. y Derm.$$cArea Medicina
000162971 7102_ $$14014$$2623$$aUniversidad de Zaragoza$$bDpto. Economía Aplicada$$cÁrea Métodos Cuant.Econ.Empres
000162971 773__ $$g20, 9 (2025), e0330255 [14 pp.]$$pPLoS One$$tPLoS ONE$$x1932-6203
000162971 8564_ $$s454779$$uhttps://zaguan.unizar.es/record/162971/files/texto_completo.pdf$$yVersión publicada
000162971 8564_ $$s2315413$$uhttps://zaguan.unizar.es/record/162971/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000162971 909CO $$ooai:zaguan.unizar.es:162971$$particulos$$pdriver
000162971 951__ $$a2025-10-17-14:37:13
000162971 980__ $$aARTICLE