Association Between Small Vessel Disease and Financial Capacity: A Study Based on Cognitively Normal Older Adults.

Background: Financial capacity is vital for the elderly, who possess a substantial share of global wealth but are vulnerable to financial fraud. Objective: We explored the link between small vessel disease (SVD) and financial capacity in cognitively unimpaired (CU) older adults via both cross-sectional and longitudinal analyses. Methods: 414 CU participants underwent MRI and completed the Financial Capacity Instrument-Short Form (FCI-SF). Subsequent longitudinal FCI-SF data were obtained from 104, 240, and 141 participants at one, two, and four years, respectively. SVD imaging markers, encompassing white matter hyperintensities (WMH), cerebral microbleeds (CMB), and lacune were evaluated. We used linear regression analyses to cross-sectionally explore the association between FCI-SF and SVD severity, and linear mixed models to assess how baseline SVD severity impacted longitudinal FCI-SF change. The false discovery rate method was used to adjust multiple comparisons. Results: Cross-sectional analysis revealed a significant association between baseline WMH and Bank Statement (BANK, ß=-0.194), as well as between lacune number and Financial Conceptual Knowledge (FC, ß= -0.171). These associations were stronger in APOE ɛ4 carriers, with ß= -0.282 for WMH and BANK, and ß= -0.366 for lacune number and FC. Longitudinally, higher baseline SVD total score was associated with severe FCI-SF total score decrease (ß= -0.335). Additionally, baseline WMH burden predicted future decreases in Single Checkbook/Register Task (SNG, ß= -0.137) and FC (ß= -0.052). Notably, the association between baseline WMH and SNG changes was amplified in APOE ɛ4 carriers (ß= -0.187). Conclusions: Severe SVD was associated with worse FCI-SF and could predict the decline of financial capacity in CU older adults.

Evaluation of the Mini-Mental State Examination and the Montreal Cognitive Assessment for Predicting Post-stroke Cognitive Impairment During the Acute Phase in Chinese Minor Stroke Patients.

Objective: To assess the value of the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) during acute phase in predicting post-stroke cognitive impairment (PSCI) at 3-6 months. Methods: We prospectively recruited 229 patients who had suffered their first-ever ischemic stroke. PSCI was determined in 104 of these patients by a comprehensive neuropsychological battery performed at 3-6 months. Receiver operating characteristic (ROC) curve analysis was then performed to compare the discriminatory ability of the MMSE and MoCA. Also, we applied a decision tree generated by the classification and regression tree methodology. Results: In total, 66 patients had PSCI when evaluated 3-6 months after the onset of minor stroke. Logistic regression analysis revealed that education, body mass index (BMI), and baseline MoCA scores were independently associated with PSCI. ROC curve analysis showed that the ability to predict PSCI was similar when compared between baseline MoCA scores [area under curve (AUC), 0.821; 95% confidence interval (CI), 0.743-0.898] and baseline MMSE scores (AUC, 0.809; 95% CI, 0.725-0.892, P = 0.75). Both MMSE and MoCA exhibited similar predictive values at their optimal cut-off points (MMSE ≤27; sensitivity, 0.682; specificity, 0.816; MoCA ≤21; sensitivity, 0.636; specificity, 0.895). Classification and regression tree-derived analysis yielded an AUC of 0.823 (sensitivity, 0.803; specificity, 0.842). Conclusion: When applied within 2 weeks of stroke, the MMSE and MoCA are both useful and have similar predictive value for PSCI 3-6 months after the onset of minor stroke.