OBJECTIVE: To assess the role of Machine Learning (ML) in identification critical factors of dementia and mild cognitive impairment.
METHODS: 371 elderly individuals were ultimately included in the ML analysis. Demographic information (including gender, age, parity, visual acuity, auditory function, mobility, and medication history) and 35 features from 10 assessment scales were used for modeling. Five machine learning classifiers were used for evaluation, employing a procedure involving feature extraction, selection, model training, and performance assessment to identify key indicative factors.
RESULTS: The Random Forest model, after data preprocessing, Information Gain, and Meta-analysis, utilized three training features and four meta-features, achieving an area under the curve of 0.961 and a accuracy of 0.894, showcasing exceptional accuracy for the identification of dementia and mild cognitive impairment.
CONCLUSIONS: ML serves as a identification tool for dementia and mild cognitive impairment. Using Information Gain and Meta-feature analysis, Clinical Dementia Rating (CDR) and Neuropsychiatric Inventory (NPI) scale information emerged as crucial for training the Random Forest model.

OBJECTIVE: The aim of the study was to investigate the factors that underpin neuropsychiatric symptoms and how they might evolve over time in people with Mild Cognitive Impairment (MCI) and Alzheimer\'s disease (AD) dementia.
BACKGROUND: Neuropsychiatric symptoms are psychiatric and behavioural manifestations that occur in people with AD. These are highly prevalent along the continuum of the disease, including at the stage of MCI, as well as before cognitive decline. Various small- and large-scale projects have investigated the underlying factors that underpin these symptoms; however, the identification of clear clusters is still a matter of debate; furthermore, no study has investigated how the clusters might change across the development of AD pathology by comparing different time points.
OBJECTIVE: Our objective was to investigate the factors that underpin neuropsychiatric symptoms in Alzheimer\'s disease (AD) and Mild Cognitive Impairment (MCI) and to assess how the loadings might differ based on considerations such as the disease stage of the samples.
METHODS: Data was obtained from the Alzheimer\'s Disease Neuroimaging Initiative database (adni. loni.usc.edu), using scores from the Neuropsychiatric Inventory, followed up yearly from baseline until month 72. Participant groups included those with MCI or AD dementia, or a mixture of both, with all participants presenting with at least one neuropsychiatric symptom. A series of exploratory Principal Component and Factor (Principal Axis) Analyses were performed using Direct Oblimin rotation.
RESULTS: The best-fitting structure was interpreted for each time point. A consistent, unique structure could not be identified, as the factors were unstable over time, both within the MCI and AD groups. However, some symptoms showed a tendency to load on the same factors across most measurements (i.e., agitation with irritability, depression with anxiety, elation with disinhibition, delusions with hallucinations).
CONCLUSIONS: Although the analyses revealed some degree of co-occurrence of neuropsychiatric symptoms across time points/samples, there was also considerable variation. In the AD group, more discrete syndromes were evident at the early time points, whereas a more complex picture of co-occurring symptoms, with differences likely reflecting disease staging, was seen at later time points. As a clear and distinctive factor structure was not consistently identified across time points/ samples, this highlights the potential importance of sample selection (e.g., disease stage and/or heterogeneity) when studying, for example, the neurobiological underpinnings of neuropsychiatric symptoms.

UNASSIGNED: Behavioral and psychological symptoms of dementia (BPSD) influence dementia care significantly. BPSD can be affected by factors related to the patient\'s illness and socio-cultural background.
UNASSIGNED: This study aimed to find a relationship between BPSD with patients\' socio-demographic and clinical profiles and their caregivers\' distress in a tertiary care center.
UNASSIGNED: In this hospital-based cross-sectional study, the purposive sampling technique was used to select 100 dementia patients. A comprehensive record of socio-demographic and clinical details was made on a self-prepared semi-structured data sheet. The Neuropsychiatric Inventory Questionnaire was the principal tool to find the BPSD and related caregivers\' distress.
UNASSIGNED: The sample comprised predominantly Hindu (91%) male patients (66%) with Alzheimer\'s dementia (76%) coming from rural backgrounds (74%) and joint familial systems (96%), with a mean age of 71.77 ± 7.41 years. Patients\' main caregivers were their children/children-in-law (65%). The severity of an overall BPSD and its variable individual domains were directly related to the duration of dementia, patients\' age, their cognitive decline, and related decline in activities of living, as well as their caregivers\' distress. In comparison to Alzheimer\'s disease patients, those with other dementia types had more impairment in cognitive functions and activities of daily living and they had a higher number and severity of BPSD.
UNASSIGNED: The advancing age, increased duration of dementia, and decline in cognition and related activities of daily living of the patients, as well as their caregivers\' distress, are important correlates of BPSD. The findings are essential for the better management of dementia patients.

UNASSIGNED: The term Behavioral and Psychological Symptoms of Dementia (BPSD) covers a group of phenomenologically and medically distinct symptoms that rarely occur in isolation. Their therapy represents a major unmet medical need across dementias of different types, including Alzheimer\'s disease. Understanding of the symptom occurrence and their clusterization can inform clinical drug development and use of existing and future BPSD treatments.
UNASSIGNED: The primary aim of the present study was to investigate the ability of a commonly used principal component analysis to identify BPSD patterns as assessed by Neuropsychiatric Inventory (NPI).
UNASSIGNED: NPI scores from the Aging, Demographics, and Memory Study (ADAMS) were used to characterize reported occurrence of individual symptoms and their combinations. Based on this information, we have designed and conducted a simulation experiment to compare Principal Component analysis (PCA) and zero-inflated PCA (ZI PCA) by their ability to reveal true symptom associations.
UNASSIGNED: Exploratory analysis of the ADAMS database revealed overlapping multivariate distributions of NPI symptom scores. Simulation experiments have indicated that PCA and ZI PCA cannot handle data with multiple overlapping patterns. Although the principal component analysis approach is commonly applied to NPI scores, it is at risk to reveal BPSD clusters that are a statistical phenomenon rather than symptom associations occurring in clinical practice.
UNASSIGNED: We recommend the thorough characterization of multivariate distributions before subjecting any dataset to Principal Component Analysis.

OBJECTIVE: Behavioral psychological symptoms of dementia (BPSD) are sometimes difficult to treat due to severe psychiatric symptoms such as delusions of poisoning and violent behavior. Moreover, in cases of parental neglect, the management of these psychiatric symptoms becomes more difficult. Therefore, home-visiting doctors sometimes have to manage patients with BPSD and severe psychiatric symptoms, and a new approach is needed. In this case report, the effect of blonanserin transdermal patch on these patients is to be highlighted.
METHODS: The patient is a 91-year-old woman diagnosed with Alzheimer\'s disease. She had severe BPSD such as delusion of robbery and violent behavior, and refused oral medications including memantine and yokukansan. Then she was treated with blonanserin transdermal patch (20 mg/day). The severity of psychiatric symptoms of BPSD was assessed over time using the Neuropsychiatric Inventory (NPI) score. Moreover, the patient\'s cognitive function was also assessed over time by Mini-Mental State Examination (MMSE).
RESULTS: After the introduction of blonanserin patch, the patient\'s psychiatric symptoms were stabilized markedly, and both NPI and MMSE scores improved. The patient was able to stay at home calmly and was mentally well stabilized to the extent that she did not require hospitalization. No apparent side effects were admitted.
CONCLUSIONS: The blonanserin transdermal patch may be able to manage BPSD at home and is effective in patients who refuse oral medications. Home-visiting doctors may consider the use of blonanserin patches at home for patients with severe BPSD, manifesting as delusions of poisoning and refusing oral drugs.

BACKGROUND: This study explores Transcranial Pulse Stimulation (TPS) as a potential non-invasive treatment for Alzheimer\'s disease (AD), focusing on its impact on cognitive functions and behavioral symptoms.
METHODS: In a prospective, one-arm open-label trial, ten patients with mild to moderate dementia due to AD were assessed using the Alzheimer\'s Disease Assessment Scale (ADAS-Cog), Neuropsychiatric Inventory (NPI), Pfeffer Functional Activities Questionnaire, and Zarit Caregiver Burden Interview. Assessments occurred at 30- and 90-days post-treatment. The TPS protocol consisted of 10 sessions over five weeks, using the Neurolith® device to deliver 6000 focused shockwave pulses at 0.25 mJ/mm2 and a frequency of 4 Hz.
RESULTS: TPS significantly reduced neuropsychiatric symptoms, with NPI scores decreasing by 23.9 points (95% CI: -39.19 to -8.61, p = 0.0042) after 30 days, and by 18.9 points (95% CI: -33.49 to -2.91, p = 0.022) after 90 days. These changes had large effect sizes (Cohen\'s dz = 1.43 and dz = 0.94, respectively). A decreasing trend was observed in the ADAS-Cog score (-3.6, 95% CI: -7.18 to 0.00, p = 0.05) after 90 days, indicating a potential reduction in cognitive impairment, though not statistically significant.
CONCLUSIONS: The preliminary results indicate that TPS treatment leads to significant improvement in neuropsychiatric symptoms in AD patients, showing promise as a therapeutic approach for AD. Further research is needed to fully establish its effectiveness, especially concerning cognitive functions.

Increased levels of inflammation markers have been found in the peripheral tissue of individuals with bipolar disorder (BD), especially during mood episodes. Previous studies found distinctive inflammatory profiles across different brain regions, but potential associations with clinical symptoms are still lacking. This study aims to evaluate the association of neuropsychiatric symptoms with inflammatory markers in the hippocampus and cingulate of individuals with BD. Levels of IL-1β, IL-6, IL-17A, cortisol, and C-reactive protein (CRP) were measured in the hippocampus and anterior cingulate of 14 BD individuals and their non-psychiatric controls. Neuropsychiatric symptoms present in the three months before death were assessed using the Neuropsychiatric Inventory (NPI). In the BD group, greater NPI scores were associated with higher IL-6 in the hippocampus (p = 0.011) and cingulate (p = 0.038) and higher IL-1β (p = 0.039) in the hippocampus. After adjusting for age, sex and CDR, IL-1β and IL-6 were still associated with higher NPI in the hippocampus. In correlation analysis considering both BD and their controls, moderate positive associations were found between NPI and IL-6 and cortisol in the hippocampus (p < 0.001 and p = 0.006) and cingulate (p = 0.024 and p = 0.016), IL-1β (p < 0.001) and IL-17A in the hippocampus (p = 0.002). No difference in inflammatory markers was found according to type of psychotropic medication used. Hence, in individuals with BD, neuropsychiatric symptoms were differently associated with specific inflammatory cytokines and CRP in the hippocampus and cingulate. These results suggest that the neuroinflammatory changes occurring in BD may be more complex than previously expected and could be associated with clinical manifestations.

Behavioral and psychological symptoms of dementia (BPSD) bring complexity in the clinical management of people with dementia; therefore, it is important to evaluate different models of care, such as Special Care Units (SCU-B).∥Objective:To evaluate the SCU-B effectiveness toward alleviating BPSD and improving the quality of life (QoL) of patients and their caregivers.∥Methods:ReCAGE was a multicenter, controlled, longitudinal study where 508 patients with BPSD were enrolled in two cohorts: 262 patients from centers endowed with a SCU-B, and 246 from centers without SCU-B. Statistical analyses included factorial ANCOVA for comparison among centers. The primary endpoint was effectiveness of the SCU-B, measured through the Neuropsychiatric Inventory (NPI) changes. Secondary endpoints were change in QoL of patients and caregivers, and the tertiary endpoint was time to nursing home admission.∥Results:The NPI scores decreased in both arms, with a statistically significant difference from baseline to 36 months (p < 0.0001) in both cohorts. Over time, NPI decreased more steeply during the first year in the SCU-B arm, but in the following two years the slope was clearly in favor of the control arm. This different pattern of the two cohorts reached statistical significance at the interaction \"cohort by time\" (p < 0.0001). Conflicting results were found regarding the outcomes of quality of life, while there were no differences in time to institutionalization in both cohorts.∥Conclusion:The RECage study did not confirm the long-term superiority of the pathway comprising a SCU-B. A post-hoc analysis revealed data supporting their acute effectiveness during behavioral crises.

Caregiver burden is related to personal factors and patient characteristics and is greater when neuropsychiatric symptoms (NPSs) are present.
Estimate the prevalence of burden among caregivers of dementia patients and its association with NPSs and identify NPSs causing greater caregiver distress according to dementia stage.
A cross-sectional observational study in caregivers of noninstitutionalized dementia patients was conducted. Caregiver variables were sociodemographic, time of care, NPS-associated distress based on the Neuropsychiatric Inventory Caregiver Distress Scale (NPI-D) and burden based on the Zarit Burden Interview (ZBI). Patient variables were time since disease onset, Global Deterioration Scale (GDS) disease stage, functional assessment and NPS presence and intensity according to the Neuropsychiatric Inventory (NPI). The mean ZBI score, prevalence of burden and NPI-D score with 95% CIs at each dementia stage were estimated. Factors associated with burden were identified by multivariate analysis.
Of the 125 caregivers included, 77.6% were women, with a mean age of 60.7 (± 14.3) years; 78.4% (95%CI: 71.0; 86.0) experienced burden. The mean ZBI score was 12.3 (95%CI: 11.6; 12.9) and increased according to NPS number (p = 0.042). The NPSs causing the most burden were disinhibition (93.5%), irritability (87.3%) and agitation (86.1%). Agitation, apathy, and sleep disorders were the NPSs generating the greatest overall caregiver distress; depression (max NPI-D 1.9), hyperactivity (max NPI-D 2.1), and psychosis symptoms (max NPI-D 1.6) generated the greatest distress at stage GDS 3, stages GDS 4-5, and stages GDS 6-7, respectively. The NPI score (OR = 1.0, 95%CI 1.0; 1.1), intensity of irritability (OR = 1.2, 95%CI 1.0; 1.6), disinhibition (OR = 2.6, 95%CI 1.1; 5.8) and hyperactivity subsyndrome (OR = 1.1, 95%CI 1.0; 1.2) were associated with caregiver burden. Other associated factors were female gender (OR = 6.0, 95%CI 1.6; 22.8), ≥ 8 h daily care (OR = 5.6, 95%CI 1.4; 22.8), working outside the home (OR = 7.6, 95%CI 1.8; 31.8), living with the patient (OR = 4.5, 95%CI 1.1; 19.6), kinship (OR = 5.4, 95%CI 1.0; 28.2) and lower patient education (OR = 8.3, 95%CI 2.3; 30.3).
The burden on caregivers of dementia patients is high and associated with NPS presence and intensity. Disinhibition and irritability caused the highest burden. Depression, hyperactivity and psychosis produce more distress in mild, mild-moderate and severe dementia, respectively.

BACKGROUND: Methylphenidate has been shown to improve apathy in patients with Alzheimer\'s disease (AD). The authors evaluated the impact of methylphenidate on neuropsychiatric symptoms (NPS) of AD, excluding apathy, using data from the Apathy in Dementia Methylphenidate Trial 2 (ADMET 2) study.
METHODS: A secondary analysis was conducted on data from the ADMET 2 study to determine the effect of methylphenidate on Neuropsychiatric Inventory (NPI) scores outside of apathy. Caregiver scores were compared from baseline to month 6 in 199 participants receiving methylphenidate (20 mg/day) or placebo regarding the presence or absence of individual neuropsychiatric symptoms, emergence of new symptoms, and individual domain scores.
RESULTS: No clinically meaningful improvement was observed in any NPI domain, excluding apathy, in participants treated with methylphenidate compared to placebo after 6 months. A statistical difference between groups was appreciated in the domains of elation/euphoria (P = 0.044) and appetite/eating disorders (P = 0.014); however, these findings were not considered significant.
CONCLUSIONS: Methylphenidate is a selective agent for symptoms of apathy in patients with AD with no meaningful impact on other NPS. Findings from this secondary analysis are considered exploratory and multiple limitations should be considered when interpreting these results, including small sample size and use of a single questionnaire.HIGHLIGHTS: Methylphenidate was not associated with significant improvement on the Neuropsychiatric Inventory in domains outside of apathy.Methylphenidate did not show a statistically significant emergence of new neuropsychiatric symptoms (NPS) throughout the 6-month treatment period compared to placebo.Methylphenidate appears to be a highly selective agent for apathy in Alzheimer\'s disease, potentially supporting catecholaminergic dysfunction as the driving force behind this presentation of symptoms.