Development of a Prognostic Model for Poststroke Dementia Using Multiple International Cohorts

We developed and internally-externally validated a 5-year dementia risk model for stroke survivors using routinely available clinical variables. The model showed strong performance in the full development data set and generalized well to recent and European cohorts, although external validation in diverse populations is needed. This tool can help identify high-risk individuals for targeted cognitive monitoring and follow-up. By informing clinical decision making and resource planning, it offers a practical means to improve long-term outcomes.

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Publication Details

Journal
Neurology
Published
2026-01-12
DOI
https://doi.org/10.1212/wnl.0000000000214574
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Development of a Prognostic Model for Poststroke Dementia Using Multiple International Cohorts

Toyin Bello, Fatemeh Geranmayeh, Jae‐Sung Lim, Frini Karayanidis et al.
Neurology
Dementia and Cognitive Impairment Research
article

Development of a Prognostic Model for Poststroke Dementia Using Multiple International Cohorts

Toyin Bello, Fatemeh Geranmayeh, Jae‐Sung Lim, Frini Karayanidis, Chung Ct, David W. Desmond, Gary K. K. Lau, Heidi Welberry, Hanna Jokinen, Thomas Lindén, Anne-Marie Mendyk, L. Traykov, Paul L.M. de Kort, Eddie Chong, Akin Ojagbemi, Xiaodi Liu, H Brodaty, Raj N Kalaria, Kyung-Ho Yu, Régis Bordet, Thibaut Dondaine, Joanna Wardlaw, Martin Dichgans, Qun Xu, Jessica W. Lo, Velandai Srikanth, Perminder S. Sachdev, Masafumi Ihara, Charlotte Cordonnier, Shima Mehrabian, Martine Roussel, Michael Hoffmann, Byung-Chul Lee, Hee-Joon Bae, Michael O'Sullivan, Rufus Akinyemi, Hugh Markus, John D. Crawford, Sebestian Köhler, Olivier Godefroy, Narayanaswamy Venketasubramanian, Amy Brodtmann, Vincent Mok, Abdel Douiri, Behnam Sabayan, Nagaendran Kandiah
article en

Abstract

We developed and internally-externally validated a 5-year dementia risk model for stroke survivors using routinely available clinical variables. The model showed strong performance in the full development data set and generalized well to recent and European cohorts, although external validation in diverse populations is needed. This tool can help identify high-risk individuals for targeted cognitive monitoring and follow-up. By informing clinical decision making and resource planning, it offers a practical means to improve long-term outcomes.

NeurologyVol. 106(3)
Ulsan College (KR), Jagiellonian University (PL), Inserm (FR), National University of Singapore (SG), University of Ibadan (NG), Université de Lille (FR), Alexandrovska Hospital (BG), Raffles Institution (SG), Asan Medical Center (KR), Taipei Veterans General Hospital (TW), Seoul National University Bundang Hospital (KR), Medical University of Sofia (BG), Centre Hospitalier Universitaire de Lille (FR), Department of Health and Aged Care (AU), UNSW Sydney (AU), University of Ulsan (KR), Centre Hospitalier Universitaire Amiens-Picardie (FR), Centre for Research and Information on Substance Abuse (NG), Université de Picardie Jules Verne (FR), University of Hong Kong (HK)
Openalex Percentile: Top 90%
Dementia and Cognitive Impairment Research
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