Journal
JOURNAL OF PSYCHIATRIC RESEARCH
Volume 166, Issue -, Pages 92-99Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jpsychires.2023.09.013
Keywords
Screening strategy; Longitudinal studies; Mild cognitive impairment; Prognosis models
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In this study, precise screening schemes were constructed for individuals with different risks of AD and prognosis models were established. The combination of CDRSB and hippocampus volume was recommended for high-risk MCI group, while the combination of ADAS13 and FAQ was recommended for low-risk MCI group in terms of screening strategies.
Background: Characterizing the progression from Mild cognitive impairment (MCI) to Alzheimer's disease (AD) is essential for early AD prevention and targeted intervention. Our goal was to construct precise screening schemes for individuals with different risk of AD and to establish prognosis models for them.Methods: We constructed a retrospective cohort by reviewing individuals with baseline diagnosis of MCI and at least one follow-up visits between November 2005 and May 2021. They were stratified into high-risk and lowrisk groups with longitudinal cognitive trajectory. Then, we established a screening framework and obtained optimal screening strategies for two risk groups. Cox and random survival forest (RSF) models were developed for dynamic prognosis prediction.Results: In terms of screening strategies, the combination of Clinical Dementia Rating Sum of Boxes (CDRSB) and hippocampus volume was recommended for the high-risk MCI group, while the combination of Alzheimer's Disease Assessment Scale Cognitive 13 items (ADAS13) and FAQ was recommended for low-risk MCI group. The concordance index (C-index) of the Cox model for the high-risk group was 0.844 (95% CI: 0.815-0.873) and adjustments for demographic information and APOE epsilon 4. The RSF model incorporating longitudinal ADAS13, FAQ, and demographic information and APOE epsilon 4 performed for the low-risk group.Conclusion: This precise screening scheme will optimize allocation of medical resources and reduce the economic burden on individuals with low risk of MCI. Moreover, dynamic prognosis models may be helpful for early identification of individuals at risk and clinical decisions, which will promote the secondary prevention of AD.
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