Predicting the reversion from mild cognitive impairment to normal cognition based on magnetic resonance imaging, clinical, and neuropsychological examinations

Reversion from mild cognitive impairment (MCI) to normal cognition (NC) is not uncommon and indicates a better cognitive trajectory. This study aims to identify predictors of MCI reversion and develop a predicting model. A total of 391 MCI subjects (mean age = 74.3 years, female = 61 %) who had base...

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Bibliographic Details
Published in:Journal of affective disorders 2024-05, Vol.353, p.90-98
Main Authors: Yu, Hai-Hong, Tan, Chen-Chen, Huang, Shu-Juan, Zhang, Xin-Hao, Tan, Lan, Xu, Wei
Format: Article
Language:English
Subjects:
Mild cognitive impairment
Normogram
Predictors
Reversion
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Summary:Reversion from mild cognitive impairment (MCI) to normal cognition (NC) is not uncommon and indicates a better cognitive trajectory. This study aims to identify predictors of MCI reversion and develop a predicting model. A total of 391 MCI subjects (mean age = 74.3 years, female = 61 %) who had baseline data of magnetic resonance imaging, clinical, and neuropsychological measurements were followed for two years. Multivariate logistic analyses were used to identify the predictors of MCI reversion after adjusting for age and sex. A stepwise backward logistic regression model was used to construct a predictive nomogram for MCI reversion. The nomogram was validated by internal bootstrapping and in an independent cohort. In the training cohort, the 2-year reversion rate was 19.95 %. Predictors associated with reversion to NC were higher education level (p = 0.004), absence of APOE4 allele (p = 0.001), larger brain volume (p 
ISSN:0165-0327
1573-2517
DOI:10.1016/j.jad.2024.03.009