Caring for a loved one with Parkinson's disease: the role of coping styles and relationship quality.

OBJECTIVE: Informal carers play an essential role in the care of individuals with Parkinson's disease (PD). This role, however, is often fraught with difficulties, including emotional, physical, and financial. Coping styles and relationship quality have been hypothesized to influence the impact of stressors. The aim of this study is to examine the relationship between carers' coping style, relationship quality, and carer burden. DESIGN: Cross-sectional. PARTICIPANTS: Thirty-nine PD patient carer dyads were included in the study. MEASUREMENTS: Participants completed self-rated questionnaires including the Dyadic Adjustment Scale, Zarit Burden Interview, and Brief Coping Orientation to Problems Experienced Inventory. RESULTS: Correlational analyses found significant and positive correlation between carer burden and all three coping styles (problem-focused, emotion-focused, and dysfunctional). There was also a moderate association between carers' perceived relationship quality and satisfaction and carer burden. Regression analyses found that carer's gender, severity of PD, relationship quality, emotion-focused, and dysfunctional coping styles did not predict carer burden. Conversely, problem-focused coping style predicted carer burden. CONCLUSION: The results highlight that there is no perfect way to react and care for a loved one and serves as important information for practitioners who design and implement interventions.

High Caregiver Burden in Young Onset Dementia: What Factors Need Attention?

BACKGROUND: There is an increase in prevalence of young onset dementia (YOD). The specific problems among YOD patients and levels of caregiver burden (CB) in this group warrants further evaluation. OBJECTIVE: To evaluate and compare level of CB in YOD and late onset dementia (LOD). Also, we sought to understand the specific factors, such as neuropsychiatric symptoms, that may affect the levels of caregiver burden in the YOD group. METHODS: Patient-caregiver dyads with YOD and LOD were recruited from a tertiary neurology center. Levels of CB between YOD and LOD were compared among 183 patient-caregiver dyads. CB was quantified using the Zarit Burden Inventory (ZBI). Neuropsychological evaluations as well as the Neuropsychiatric Inventory were performed. Factors that influenced level of CB in YOD group was investigated with regression analyses. RESULTS: There were 57 YOD and 126 LOD dyads. Caregivers of YOD subjects reported significantly higher levels of burden compared to caregivers of LOD subjects (ZBI: 17.3 versus 13.94; p = 0.015). 52.6% of YOD caregivers reported a high caregiver burden. When compared to caregivers of LOD, the odds of a caregiver of YOD reporting high caregiver burden was 2.34 (95% CI: 1.22-4.49: p = 0.010). YOD dyads with a high caregiver burden had significantly higher neuropsychiatric inventory scores. Risk factors for high caregiver burden in YOD included family history of dementia and behavioral symptoms including disinhibited behavior, delusions, and apathy. CONCLUSION: Targeted support for caregivers of patients with YOD is needed to address the higher CB in this group.

Early detection of dementia in multilingual populations: Visual Cognitive Assessment Test (VCAT).

BACKGROUND: Early diagnosis of cognitive impairment allows timely intervention with pharmacological and non-pharmacological measures. However, current cognitive evaluation tools do not cater for multilingual populations. OBJECTIVE: To develop and validate a visual-based cognitive evaluation tool, the Visual Cognitive Assessment Test (VCAT), which can be administered to multilingual populations without the need for translation or adaptation. METHOD: We designed a battery of tests to evaluate the domains of memory, executive function, visuospatial function, language and attention. Pilot testing of individual test items, followed by test refinement and development of a field version was performed. We subsequently validated VCAT for the diagnosis of mild cognitive impairment (MCI) and mild Alzheimer's disease (AD). Diagnostic performance was assessed by the area under the curve (AUC), sensitivity (Se) and specificity (Sp). RESULTS: VCAT was validated in a sample of 206 participants. The sample comprised 53.9% males; mean age (SD) was 67.8 (8.86) years; mean years of education was 10.5(6.0). AUC of VCAT for detection of cognitive impairment was found to be 93.3 (95% CI 90.1 to 96.4). Also, the Se and Sp of VCAT for the diagnosis of cognitive impairment (MCI and mild AD) were 85.6% and 81.1%, respectively. VCAT's diagnostic Se and Sp comparable to those of the Montreal Cognitive Assessment in the same cohort. Mean time-to-complete VCAT was 15.7 ± 7.3 min. CONCLUSIONS: The VCAT has good Se and Sp for the diagnosis of MCI and mild AD. The visual-based test paradigm allows easy application to multilingual populations without the need for translation or adaptation.

Montreal Cognitive Assessment for the screening and prediction of cognitive decline in early Parkinson's disease.

BACKGROUND: Early diagnosis of cognitive impairment in PD would allow appropriate monitoring and timely intervention to reduce the progression to dementia (PDD). OBJECTIVE: To study the usefulness of the Montreal Cognitive Assessment (MoCA) in the screening for mild cognitive impairment (PD-MCI) and its predictive utility in determining longitudinal cognitive decline in PD. METHODS: Prospective longitudinal study of patients with mild PD. PD-MCI and PDD was diagnosed based on the Movement Disorder taskforce (MDS) criteria. Receiver Operating Characteristic analyses and Cox regression analyses were performed. RESULTS: 95 patients; mean age 66.37 (SD 7.86); mean H&Y score of 1.99 (SD 0.45) were studied. At baseline, 34 patients fulfilled the MDS criteria for PD-MCI. MoCA, compared to the MMSE had a high discriminatory power in detecting PD-MCI [Area Under Curve (AUC) of 0.912, p < 0.001]. A MoCA score of ≤26 provided a sensitivity of 93.1% for the diagnosis of PD-MCI. In the longitudinal cohort over 2 years, baseline MOCA was useful in predicting cognitive decline (AUC of 0.707, p = 0.05). With Cox regression analyses, a 1-point lower score on baseline MoCA was associated with a 34% increased risk of cognitive decline [Hazard ratio (HR) 1.34; 95% CI: 1.03-1.74: p = 0.029]. A baseline MoCA ≤26 was highly predictive of progressive cognitive decline (HR 3.47, 95% CI: 2.38-5.07; p < 0.01). CONCLUSIONS: MoCA is a reliable tool in predicting cognitive decline in early PD. A MoCA score of ≤26 significantly increases the risk for progressive cognitive decline.

Cerebral white matter disease is independently associated with BPSD in Alzheimer's disease.

OBJECTIVES: To study the association between cerebral white matter disease and burden of behavioral and psychological symptoms (BPSD) among patients with moderate to severe AD. METHODS: Patients with moderate to severe AD having undergone MRI brain, cognitive and behavioral evaluations were studied. BPSD was diagnosed based on established clinical guidelines. White matter hyperintensity (WMH) and medial temporal lobe atrophy (MTA) were quantified by a blinded rater. RESULTS: 122 AD patients were studied. Age [76.84 vs. 72.70, p = 0.014] and MMSE [11.69 vs. 15.16, p < 0.001] was significantly higher in patients with BPSD. BPSD patients demonstrated higher periventricular [5.44 vs. 4.21, p < 0.001], deep subcortical [5.07 vs. 3.43, p < 0.001], and total WMH [10.51 vs. 7.65, p < 0.001] compared to non-BPSD patients. Higher proportion of BPSD patients had WMH in the highest tertile of severity (82.22% vs. 45.45%, p < 0.001). After correcting for age, baseline cognition and degree of MTA, total WMH remained significantly associated with a diagnosis of BPSD [odds ratio: 1.45 (1.14-1.85; p = 0.002)]. With severe WMH, the association is significantly increased [odds ratio: 4.3 (1.3-12.5); p = 0.016]. CONCLUSION: WMH is independently associated with BPSD in moderate to severe AD. Optimizing vascular risk factors may be a strategy to reduce the severity of BPSD in AD.