The value of personalized psychosocial interventions to address behavioral and psychological symptoms in people with dementia living in care home settings: A systematic review

This is the author accepted manuscript. the final version is available from Cambridge University Press via the DOI in this recordBackground: Several important systematic reviews and meta-Analyses focusing on psychosocial interventions have been undertaken in the last decade. However, they have not focused specifically on the treatment of individual behavioral and psychological symptoms of dementia (BPSD) with personalized interventions. This updated systematic review will focus on studies reporting the effect of personalized psychosocial interventions on key BPSD in care homes. Methods: Systematic review of the evidence for psychosocial interventions for BPSD, focusing on papers published between 2000 and 2012. All care home and nursing home studies including individual and cluster randomized controlled trials (RCTs) and pre-/post-Test studies with control conditions were included. Results: 641 studies were identified, of which 40 fulfilled inclusion and exclusion criteria. There was good evidence to support the value of personalized pleasant activities with and without social interaction for the treatment of agitation, and reminiscence therapy to improve mood. The evidence for other therapies was more limited. Conclusions: There is a growing body of evidence indicating specific effects of different personalized psychosocial interventions on individual BPSD and mood outcomes. Copyright © International Psychogeriatric Association 2014

Brain-age is associated with progression to dementia in memory clinic patients

Background: Biomarkers for the early detection of dementia risk hold promise for better disease monitoring and targeted interventions. However, most biomarker studies, particularly in neuroimaging, have analysed artificially ‘clean’ research groups, free from comorbidities, erroneous referrals, contraindications and from a narrow sociodemographic pool. Such biases mean that neuroimaging samples are often unrepresentative of the target population for dementia risk (e.g., people referred to a memory clinic), limiting the generalisation of these studies to real-world clinical settings. To facilitate better translation from research to the clinic, datasets that are more representative of dementia patient groups are warranted. Methods: We analysed T1-weighted MRI scans from a real-world setting of patients referred to UK memory clinic services (n = 1140; 60.2 % female and mean [SD] age of 70.0[10.8] years) to derive ‘brain-age’. Brain-age is an index of age-related brain health based on quantitative analysis of structural neuroimaging, largely reflecting brain atrophy. Brain-predicted age difference (brain-PAD) was calculated as brain-age minus chronological age. We determined which patients went on to develop dementia between three months and 7.8 years after neuroimaging assessment (n = 476) using linkage to electronic health records. Results: Survival analysis, using Cox regression, indicated a 3 % increased risk of dementia per brain-PAD year (hazard ratio [95 % CI] = 1.03 [1.02,1.04], p < 0.0001), adjusted for baseline age, age2, sex, Mini Mental State Examination (MMSE) score and normalised brain volume. In sensitivity analyses, brain-PAD remained significant when time-to-dementia was at least 3 years (hazard ratio [95 % CI] = 1.06 [1.02, 1.09], p = 0.0006), or when baseline MMSE score ≥ 27 (hazard ratio [95 % CI] = 1.03 [1.01, 1.05], p = 0.0006). Conclusions: Memory clinic patients with older‐appearing brains are more likely to receive a subsequent dementia diagnosis. Potentially, brain-age could aid decision-making during initial memory clinic assessment to improve early detection of dementia. Even when neuroimaging assessment was more than 3 years prior to diagnosis and when cognitive functioning was not clearly impaired, brain-age still proved informative. These real-world results support the use of quantitative neuroimaging biomarkers like brain-age in memory clinics

Comparing Clinical Profiles in Alzheimer\u27s Disease and Parkinson\u27s Disease Dementia

BACKGROUND: Greater understanding of differences in baseline impairment and disease progression in patients with Alzheimer\u27s disease (AD) and Parkinson\u27s disease dementia (PDD) may improve the interpretation of drug effects and the design of future studies. METHODS: This was a retrospective analysis of three randomized, double-blind rivastigmine databases (one in PDD, two in AD). Impairment on the Alzheimer\u27s Disease Assessment Scale-cognitive subscale (ADAS-cog), Alzheimer\u27s Disease Cooperative Study-Activities of Daily Living (ADCS-ADL) scale, 10-item Neuropsychiatric Inventory (NPI-10) and the ADCS-Clinical Global Impression of Change (CGIC) was compared [standardized difference (Cohen\u27s d), similar if \u3c0.1]. RESULTS: Patients with AD or PDD had similar levels of impairment on the ADAS-cog and NPI-10. Scores on the ADCS-ADL scale (standardized difference = 0.47) and the ADAS-cog memory domain (total, 0.33; items, 0.10-0.58) were higher in AD; PDD patients were more impaired in the language (0.23) and praxis (0.34) domains. AD patients receiving placebo showed greater deterioration on the ADAS-cog (0.14) and improvement on the NPI-10 (0.11) compared with patients with PDD. CONCLUSION: Differing patterns of impairment occur in AD and PDD

The neuropsychiatry of Parkinson's disease: advances and challenges

In people with Parkinson's disease, neuropsychiatric signs and symptoms are common throughout the disease course. These symptoms can be disabling and as clinically relevant as motor symptoms, and their presentation can be similar to, or distinct from, their counterparts in the general population. Correlates and risk factors for developing neuropsychiatric signs and symptoms include demographic, clinical, and psychosocial characteristics. The underlying neurobiology of these presentations is complex and not well understood, with the strongest evidence for neuropathological changes associated with Parkinson's disease, mechanisms linked to dopaminergic therapy, and effects not specific to Parkinson's disease. Assessment instruments and formal diagnostic criteria exist, but there is little routine screening of these signs and symptoms in clinical practice. Mounting evidence supports a range of pharmacological and non-pharmacological interventions, but relatively few efficacious treatment options exist. Optimising the management of neuropsychiatric presentations in people with Parkinson's disease will require additional research, raised awareness, specialised training, and development of innovative models of care

Mild Behavioral Impairment as a Marker of Cognitive Decline in Cognitively Normal Older Adults

This is the author accepted manuscript. the final version is available from Elsevier via the DOI in this recordObjective: Mild Behavioral Impairment (MBI) is a neurobehavioural syndrome characterized by later life emergent neuropsychiatric symptoms (NPS) which represent an at-risk state for incident cognitive decline and dementia in people with Mild Cognitive Impairment. We undertook a study to determine whether MBI was associated with progressive changes in neuropsychological performance in people without significant cognitive impairment. Methods: 9,931 older adults enrolled in the PROTECT study who did not have MCI or dementia undertook a comprehensive neuropsychological battery measuring attention, reasoning, executive function and working memory at baseline and one year. MBI was ascertained using self-administration of the MBI-C at one year, and participants grouped according to MBI status: no symptoms, intermediate neuropsychiatric symptoms and MBI. All assessments were completed online and data analyzed using MMRM ANOVA. Results: 949 (10%) people had MBI. These individuals had significantly worse cognitive performance at baseline and significantly greater decline over one year in the four composites cognitive scores measuring attentional intensity (F(2,8578)=3.97,p=0.019), sustained attention (F(2,8578)=18.63, p<.0001), attentional fluctuation (F(2,8578)=10.13, p=<.0001) and working memory F(2,9895)=13.1, p<.0001. Conclusions: Our novel findings show that MBI is associated with faster decline in attention and working memory in this cognitively normal sample. MBI may be an earlier marker of neurodegenerative disease than MCI, captured at the stage of SCD or before, raising the possibility that MBI represents a novel target for dementia clinical trials or prevention strategies.National Institute for Health Research (NIHR

The mental and physical health profiles of older adults who endorse elevated autistic traits

Objective The mental and physical health profile of autistic people has been studied in adolescence and adulthood, with elevated rates of most conditions being reported. However, this has been little studied taking a dimensional approach to autistic traits, and in older age. Methods A total of 20,220 adults aged 50-81 years from the PROTECT study reported whether they experienced persistent socio-communicative traits characteristic of autism. Approximately 1%, 276 individuals, were identified as endorsing elevated autistic traits in childhood and currently, henceforth the ‘Autism Spectrum Trait’ (AST) group. An age and gender matched comparison group was formed of 10,495 individuals who did not endorse any autistic behavioral traits, henceforth the ‘Control Older Adults’ (COA) group. Differences between AST and COA groups were explored in self-reported psychiatric diagnoses, self-reported symptoms of current depression and anxiety, and self-reported physical health diagnoses. Associations were also examined between autistic traits and health across the whole sample. Results The AST group reported significantly elevated rates of psychiatric diagnoses compared to COAs. Additionally, the AST group showed significantly higher self-reported symptoms of current depression and anxiety than COAs. However, few differences were observed in individual physical health conditions, and no differences in total co-occurring physical diagnoses between groups. Similar associations between autistic traits and health were also found taking a dimensional approach across the whole sample. Discussion These findings suggest that older adults with elevated autistic traits may be at greater risk of poorer mental, but not physical, health in later life. Future studies should incorporate polygenic scores to elucidate the possible genetic links between propensity to autism/high autistic traits and to psychiatric conditions, and to explore whether those with elevated autistic traits experience particular barriers to mental health care

The mental and physical health of older adults with a genetic predisposition for autism

Autism commonly aggregates in families, with twin studies stimating heritability to be around 80%. Subclinical autism-like characteristics have also been found at elevated rates in relatives of autistic probands. Physical and psychiatric conditions have been reported at elevated rates in autistic children and adults, and also in their relatives. However, to date there has been no exploration of how ageing may affect this pattern. This study examined cross-sectional data from the ongoing online PROTECT study. A total of 20,220 adults aged 50 years and older reported whether they have an autistic first-degree relative. In total, 739 older adults reported having an autistic first-degree relative (AFDR group) and 11,666 were identified as having no family history of any neurodevelopmental disorder (NFD group). The AFDR group demonstrated significantly higher frequencies of self-reported psychiatric diagnoses and a greater total number of co-occurring psychiatric diagnoses than the NFD group. Furthermore, the AFDR group reported elevated current self-report symptoms of depression, anxiety, traumatic experience, and post-traumatic stress than the NFD group. By contrast, few differences between AFDR and NFD groups were observed in physical health conditions, and no differences were observed in the total number of co-occurring physical health diagnoses. These findings suggest that adults who have an autistic first-degree relative may be at greater risk of poor mental, but not physical, health in later life. Older adults with autistic relatives may benefit from close monitoring to mitigate this susceptibility and to provide timely intervention

Traumatic life experiences and post-traumatic stress symptoms in middle-aged and older adults with and without autistic traits

Objectives Research with younger adults has begun to explore associations between autism/autistic traits and vulnerability to Post Traumatic Stress Disorder (PTSD). Large scale studies and/or examination of age-effects have not been conducted. Methods Adults aged 50 years+ from the PROTECT study (n = 20,220) completed items about current and childhood socio-communicative difficulties characteristic of autism. Approximately 1% (n = 251) endorsed high autistic traits, henceforth the Autism Spectrum Traits (AST) group. Differences between the AST and an age—and sex-matched “Comparison Older Adults” (COA; n = 9179) group were explored for lifetime traumatic experiences and current symptoms of PTSD, depression, and anxiety. Results Almost 30% of the AST group, compared to less than 8% of the COA, reported severe trauma in childhood/adulthood, including emotional, physical or sexual abuse. Elevated current PTSD symptoms were reported by AST compared to COA. An interaction was observed between autistic traits and trauma severity; the effect of level of trauma on PTSD symptoms was significantly greater for AST versus COA participants. This interaction remained significant when controlling for current depression and anxiety symptoms. Conclusions The findings suggest that high autistic traits may increase the likelihood of experiencing trauma across the lifespan, and the impact of severe trauma on PTSD symptoms. Older adults with high (vs. low) autistic traits may be at greater risk of experiencing PTSD symptoms in latter life. Future research should test whether the pattern of results is similar for diagnosed autistic adults

A genome-wide association study of plasma phosphorylated tau181

Plasma phosphorylated tau at threonine-181 (P-tau181) demonstrates promise as an accessible blood-based biomarker specific to Alzheimer's Disease (AD), with levels recently demonstrating high predictive accuracy for AD-relevant pathology. The genetic underpinnings of P-tau181 levels, however, remain elusive. This study presents the first genome-wide association study of plasma P-tau181 in a total sample of 1153 participants from 2 independent cohorts. No loci, other than those within the APOE genomic region (lead variant = rs429358, beta = 0.32, p =8.44 × 10−25) demonstrated association with P-tau181 at genome-wide significance (p < 5 × 10−08), though rs60872856 on chromosome 2 came close (beta = -0.28, p = 3.23 × 10−07, nearest gene=CYTIP). As the APOE ε4 allele is already a well-established genetic variant associated with AD, this study found no evidence of novel genetic associations relevant to plasma P-tau181, though presents rs60872856 on chromosome 2 as a candidate locus to be further evaluated in future larger size GWAS

Plasma Neurofilament Light Chain Predicts Cognitive Progression in Prodromal and Clinical Dementia with Lewy Bodies

Plasma neurofilament light chain (NfL) is a marker of neuronal damage in different neurological disorders and might predict disease progression in dementia with Lewy bodies (DLB). The study enrolled 45 controls and 44 DLB patients (including 17 prodromal cases) who underwent an extensive assessment at baseline and at 2 years follow-up. At baseline, plasma NfL levels were higher in both probable DLB and prodromal cases compared to controls. Plasma NfL emerged as the best predictor of cognitive decline compared to age, sex, and baseline severity variables. The study supports the role of plasma NfL as a useful prognostic biomarker from the early stages of DLB