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Published in: Neurology and Therapy 1/2024

Open Access 29-11-2023 | Cerebral Small Vessel Disease | ORIGINAL RESEARCH

An Integrative Nomogram for Identifying Cognitive Impairment Using Seizure Type and Cerebral Small Vessel Disease Neuroimaging Markers in Patients with Late-Onset Epilepsy of Unknown Origin

Authors: Huijuan Wan, Qi Liu, Chao Chen, Wenyu Dong, Shengsong Wang, Weixiong Shi, Chengyu Li, Jiechuan Ren, Zhanxiang Wang, Tao Cui, Xiaoqiu Shao

Published in: Neurology and Therapy | Issue 1/2024

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Abstract

Introduction

Cognitive impairment (CI) is a common comorbidity in patients with late-onset epilepsy of unknown origin (LOEU). However, limited data are available on effective screening methods for CI at an early stage. We aimed to develop and internally validate a nomogram for identifying patients with LOEU at risk of CI and investigate the potential moderating effect of education on the relationship between periventricular white matter hyperintensities (PVHs) and cognitive function.

Methods

We retrospectively reviewed the clinical data of 61 patients aged ≥ 55 years diagnosed with LOEU. The main outcome was CI, reflected as an adjusted Montreal Cognition Assessment score of < 26 points. A nomogram based on a multivariable logistic regression model was constructed. Its discriminative ability, calibration, and clinical applicability were tested using calibration plots, the area under the curve (AUC), and decision curves. Internal model validation was conducted using the bootstrap method. The moderating effect of education on the relationship between PVH and cognitive function was examined using hierarchical linear regression.

Results

Forty-four of 61 (72.1%) patients had CI. A nomogram incorporating seizure type, total cerebral small vessel disease burden score, and PVH score was built to identify the risk factors for CI. The AUC of the model was 0.881 (95% confidence interval: 0.771–0.994) and 0.78 (95% confidence interval: 0.75–0.8) after internal validation. Higher educational levels blunted the negative impact of PVH on cognitive function.

Conclusion

Our nomogram provides a convenient tool for identifying patients with LOEU who are at risk of CI. Moreover, our findings demonstrate the importance of education for these patients.
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Metadata
Title
An Integrative Nomogram for Identifying Cognitive Impairment Using Seizure Type and Cerebral Small Vessel Disease Neuroimaging Markers in Patients with Late-Onset Epilepsy of Unknown Origin
Authors
Huijuan Wan
Qi Liu
Chao Chen
Wenyu Dong
Shengsong Wang
Weixiong Shi
Chengyu Li
Jiechuan Ren
Zhanxiang Wang
Tao Cui
Xiaoqiu Shao
Publication date
29-11-2023
Publisher
Springer Healthcare
Published in
Neurology and Therapy / Issue 1/2024
Print ISSN: 2193-8253
Electronic ISSN: 2193-6536
DOI
https://doi.org/10.1007/s40120-023-00566-6

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