Ramón Reñé-Ramírez

Clinical differences in patients with Alzheimer's disease according to the presence or absence of anosognosia: implications for perceived quality of life.

This study aimed to determine the factors that predict anosognosia in patients with Alzheimers disease (AD) and to examine the effect of anosognosia on patient and caregiver perceptions of the patients quality of life (QoL-p), using a cross-sectional design with 164 patients and their caregivers. Instruments of measurement included Anosognosia Questionnaire-Dementia, Geriatric Depression Scale, Quality of Life in AD (QoL-AD), Disability Assessment for Dementia, Neuropsychiatric Inventory, and the Global Deterioration Scale (GDS). A binary logistic regression analysis was performed to identify the factors that predict anosognosia, while a linear regression analysis was conducted to determine the factors associated with QoL-AD. The degree of anosognosia increased in line with GDS stage (F (2,161) = 41.3, p < 0.001). In the binary regression analysis, the variables that predicted anosognosia were more neuropsychiatric symptoms (OR = 1.11, 95% CI: 1.06-1.17, p < 0.001), deficits in ADL (OR = 0.88, 95% CI: 0.83-0.94, p < 0.001), less depression (OR = 0.66, 95% CI: 0.54-0.82, p < 0.001), and older age (OR = 1.08, 95% CI: 1.00-1.15, p = 0.027). With regards to QoL-p, the multiple linear regression analysis for patients (r2 = 0.486) showed that less depression (β = -0.52, p < 0.001) and greater anosognosia (β = 0.40, p < 0.001) explained 33% and 10% of the variance in QoL-AD, respectively. Greater anosognosia was associated with better perceived QoL-p, especially in advanced GDS stages. Anosognosia was associated with greater caregiver burden and a greater discrepancy between patient and caregiver ratings of QoL-p.

Factors Associated With the Variability in Caregiver Assessments of the Capacities of Patients With Alzheimer Disease

Background: Several studies have identified certain caregiver factors that can produce variability in their assessments of the capacities of patients with Alzheimer disease (AD). Objectives: To identify the caregiver variables associated with variability in their ratings of patients’ capacities. Methods: Consecutive sample of 221 outpatients with AD and their family caregivers. The capacities evaluated by caregivers were the degree of functional disability, using the Disability Assessment for Dementia (DAD); psychological and behavioral symptoms, via the Neuropsychiatric Inventory (NPI); anosognosia, with the Anosognosia Questionnaire-Dementia (AQ-D); and quality of life, using the Quality of Life in AD (QOL-AD). The relationship between these measures and caregiver’s gender, burden, depression, and health was analyzed by means of a bivariate analysis, calculating the effect size (Cohen d) and subsequently by a regression analysis, calculating the contribution coefficient (CC). Results: The greatest variability in caregiver assessments was observed in relation to patients with early-stage dementia, where caregiver’s burden was the main factor associated with a more negative evaluation (d = 1.02-1.25). Depression in the caregiver was associated with less variability and only in the assessments of patients with moderate dementia (d = 0.38-0.69). In the regression analysis, caregiver factors were associated with greater variance in scores on the NPI (CC = 37.4%) and QOL-AD (CC = 27.2%), and lower variance in AQ-D (CC = 21.6%) and DAD (CC = 10.3%) scores. Conclusions: Caregiver’s burden and depression were associated with more negative assessments of patients’ psychological and behavioral symptoms and quality of life.

Effects of anosognosia and neuropsychiatric symptoms on the quality of life of patients with alzheimer's disease: a 24-month follow-up study

Neuropsychiatric symptoms and anosognosia are known to influence the perceived quality of life of patients (QoL‐p) with Alzheimers disease (AD). This study analysed their impact on patient and caregiver ratings of QoL‐p and how these ratings changed in relation to the severity of dementia.

Prevalencia de anosognosia en la enfermedad de Alzheimer

BACKGROUND AND OBJECTIVE Anosognosia is a disorder that affects the clinical presentation of Alzheimers disease (AD), increasing in frequency with the evolution of AD. The objective was to determine the prevalence of anosognosia and analyze the associated factors and predictors. PATIENTS AND METHOD Multicenter transversal and observational study of 345 AD patients. Anosognosia was assessed by Anosognosia Questionnaire-Dementia and the evolutionary stage with the Global Deterioration Scale (GDS). Tests used were Mini-Mental State Examination, Disability Assessment for Dementia and Neuropsychiatric Inventory to assess cognition, functional status and neuropsychiatric symptoms, respectively. We adjusted linear regression models to determine the associated variables and binary logistic regression (RLog) to identify predictors of anosognosia. RESULTS The overall prevalence of anosognosia was 46.7% (95% confidence interval [95% CI] 41.3 to 52.1). The prevalence in stages was 28.4% (GDS 4), 64.6% (GDS 5) and 91.4% (GDS 6). The RLog identified as predictors older age (odds ratio [OR] 1.04; 95% CI 1.01-1.09), lower functional capacity (OR 0.96; 95% CI 0.93-0.98), lower cognitive level (OR 0.9; 95% CI 0.88-0.99), and greater apathy (OR 1.1; 95% CI 1.03-1.18), disinhibition (OR 1.2; 95% CI 1.09-1.50), irritability (OR 1.1; 95% CI 1.09-1.50) and motor disorders (OR 1.2; 95% CI 1.09-1.50). CONCLUSIONS Anosognosia increases with further deterioration. In patients with a mild impairment, predictor variables were apathy, disinhibition and motor disorders.

Course and Determinants of Anosognosia in Alzheimer’s Disease: A 12-Month Follow-up

Anosognosia in Alzheimers disease (AD) has been associated with greater cognitive impairment and more behavioural and psychological symptoms of dementia (BPSD). This study examines the incidence, persistence, and remission rates of anosognosia over a 12-month period, as well as the related risk factors. This was an observational 12-month prospective study. The longitudinal sample comprised 177 patients with mild or moderate AD, and their respective caregivers. Anosognosia was assessed using the Anosognosia Questionnaire in Dementia, and we also evaluated cognitive status (Mini-Mental State Examination), functional disability (Disability Assessment in Dementia), and the presence of BPSD (Neuropsychiatric Inventory). Multinomial logistic regression was used to determine the variables associated with the incidence, persistence and remission of anosognosia. The prevalence of anosognosia was 39.5% (95% CI = 32.1-47.1) at baseline. At 12 months, incidence was 38.3% (95% CI = 28.6-48.0), persistence was 80.0% (95% CI = 69.9-90.1) and remission was 20.0% (95% CI = 9.9-30.1). The regression model identified lower age, more education, and the presence of delusions as variables associated with incidence, and more education, lower instrumental DAD score, and disinhibition as variables associated with persistence. No variables were associated with remission (n = 14). The presence of anosognosia in AD patients is high. Education and certain neuropsychiatric symptoms may explain a greater and earlier incidence of anosognosia. However, anosognosia also increases with greater cognitive impairment and disease severity.

Kinship and cohabitation in relation to caregiver burden in the context of Alzheimer's disease: a 24‐month longitudinal study

The aims of the study were to identify the clinical characteristics of three groups of caregivers: spouses, live‐in adult–child or non‐live‐in adult–child, and their relation to the degree of perceived burden (Caregiver Burden Interview).

Abridged Scale for the Screening Anosognosia in Patients With Dementia

The objective of this cross-sectional study was to validate an abridged version of the Anosognosia Questionnaire—Dementia (AQ-D) for screening anosognosia in daily practice. The authors reduce the AQ-D from 30 items to 9, with a large sample (n = 352) of patients with Alzheimer disease (AD). The Cronbach α was .793 and an area under the receiver–operating characteristic curve was 0.946. The κ index between new abridged AQ-D (AAQ) and original AQ-D was .800. The AAQ presents good validity and reliability indicators and kept concordance with the original scale. It is quick and easy to administer and it can simplify the clinical screening of anosognosia in patients with AD.

Self-perceived quality of life among patients with Alzheimer's disease: Two longitudinal models of analysis

The objective was to analyze the factors that influence self-perceived quality of life (QoL) in patients with Alzheimers disease (AD), contrasting two different longitudinal models. A total of 127 patients were followed up over 24 months. The instruments applied were: Quality of Life in Alzheimers Disease scale (QoL-AD), Geriatric Depression Scale-15, Anosognosia Questionnaire-Dementia, Disability Assessment in Dementia, Neuropsychiatric Inventory, and the Mini-Mental State Examination. Two models for grouping patients were tested: 1) Baseline score on the QoL-AD (QoL-Baseline), and 2) Difference in QoL-AD score between baseline and follow-up (QoL-Change). Generalized estimating equations were used to analyze longitudinal data, and multinomial regression analyses were performed. Over the follow-up period the QoL-Baseline model showed greater variability between groups (Wald χ2 = 172.3, p < 0.001) than did the QoL-Change model (Wald χ2  = 1.7, p = 0.427). In the QoL-Baseline model the predictive factors were greater depression (odds ratio [OR] = 1.20; 95% CI: 1.00- 1.45) and lower functional ability (OR = 0.92; 95% CI: 0.85- 0.99) for the Low QoL group (< 33 QoL-AD), and less depression (OR = 0.68; 95% CI: 0.52- 0.88), more anosognosia (OR = 1.07; 95% CI: 1.01- 1.13), and fewer neuropsychiatric symptoms (OR = 0.95; 95% CI: 0.91- 0.99) for the High-QoL group (>37 QoL-AD). The model based on baseline scores (QoL-Baseline) was better than the QoL-Change model in terms of identifying trajectories and predictors of QoL in AD.