Predicting neuropsychiatric symptoms of persons with dementia in a day care center using a facial expression recognition system.

BACKGROUND: Behavioral and psychological symptoms of dementia (BPSD) affect 90% of persons with dementia (PwD), resulting in various adverse outcomes and aggravating care burdens among their caretakers. This study aimed to explore the potential of artificial intelligence-based facial expression recognition systems (FERS) in predicting BPSDs among PwD. METHODS: A hybrid of human labeling and a preconstructed deep learning model was used to differentiate basic facial expressions of individuals to predict the results of Neuropsychiatric Inventory (NPI) assessments by stepwise linear regression (LR), random forest (RF) with importance ranking, and ensemble method (EM) of equal importance, while the accuracy was determined by mean absolute error (MAE) and root-mean-square error (RMSE) methods. RESULTS: Twenty-three PwD from an adult day care center were enrolled with ≥ 11,500 FERS data series and 38 comparative NPI scores. The overall accuracy was 86% on facial expression recognition. Negative facial expressions and variance in emotional switches were important features of BPSDs. A strong positive correlation was identified in each model (EM: r = 0.834, LR: r = 0.821, RF: r = 0.798 by the patientwise method; EM: r = 0.891, LR: r = 0.870, RF: r = 0.886 by the MinimPy method), and EM exhibited the lowest MAE and RMSE. CONCLUSIONS: FERS successfully predicted the BPSD of PwD by negative emotions and the variance in emotional switches. This finding enables early detection and management of BPSDs, thus improving the quality of dementia care.

Care for older adults with dementia: PACE day care or residential dementia care units?

BACKGROUND: Persons with dementia (PwD) are at greater risk for various adverse health outcomes, and the best care model remains to be determined. This study aimed to compare the physical and neurocognitive performance of PwD in the Program of All-inclusive Care for the Elderly (PACE) and residential dementia care units. METHODS: This was a case-control study comparing outcomes between care recipients of PACE services (PC group) and residential dementia care (RC group). Demographic characteristics, underlying diseases, physical function, cognitive function, mood status, and behavioral and psychotic symptoms of dementia (BPSDs) were assessed every 3-6 months in both groups, while frailty status and Timed Up-and-Go Test (TUGT) performance were assessed every 6 months in the PC group only. RESULTS: Overall, 96 participants (PC group: 25, RC group: 71; mean age: 86.4 ± 6.8 years) were enrolled with the median follow-up period of 43.6 weeks. Lower incidence of hospital admissions was noted in the PC group (0.52 ± 1.12 vs 1.38 ± 2.49 admissions/1,000 person-days, p=0.023), even though the PC group had higher multimorbidity and more severe BPSDs. During the study period, the PC group showed a significant improvement in body mass index, less physical dependence, better cognitive performance and reduced depressive mood. In addition, the PC group showed improvement in frailty, leisure hour activities, and TUGT results. However, participants in the PC group were more likely to experience BPSD deterioration (ß coeff.: 0.193, 95% CI: 0.121- 0.265). CONCLUSION: The PACE services significantly reduced unexpected hospital admissions of PwD, facilitated the maintenance of physical independence, and improved cognitive performance and mood status. Further randomized controlled studies are needed to determine the most appropriate care model for PwD.