Development and internal validation of a nomogram for predicting cognitive impairment after mild ischemic stroke and transient ischemic attack based on cognitive trajectories: a prospective cohort study
Here, we developed two simple and easy-to-use predictive models of post-stroke cognitive trajectories based on a LCGA, which are presented in the form of nomograms suitable for clinical application. These models provide a basis for early detection and prompt treatment.
Authors
- Chunxiao Wei
- Yongchun Wang (ORCID: https://orcid.org/0000-0002-8297-2908)
- Li Sun (ORCID: https://orcid.org/0000-0003-1169-4653)
- Weijie Zhai
- Lin Shi (ORCID: https://orcid.org/0000-0002-4934-6649)
- Yanxin Shen (ORCID: https://orcid.org/0009-0006-3577-9132)
- Panpan Zhao (ORCID: https://orcid.org/0000-0001-7217-7524)
- Zicheng Wang (ORCID: https://orcid.org/0000-0003-4119-7455)
- Guimei Zhang (ORCID: https://orcid.org/0000-0001-7463-5349)
Institutions
- Jilin University (CN)
- First Hospital of Jilin University (CN)
- First Affiliated Hospital of Henan University (CN)
Publication Details
- Journal
- Frontiers in Aging Neuroscience
- Published
- 2025-01-29
- DOI
- https://doi.org/10.3389/fnagi.2025.1427737
- Citations
- 2
- Primary Topic
- Cerebrovascular and Carotid Artery Diseases
- Type
- article
- Field-Weighted Citation Impact
- 3.04
Funders
- National Natural Science Foundation of China
- Jilin University
- Department of Finance of Jilin Province
- First Hospital of Jilin University