Psychometric properties of the Caregiver's inventory neuropsychological diagnosis dementia (CINDD) in mild cognitive impairment and dementia.

OBJECTIVES: The Caregiver's Inventory Neuropsychological Diagnosis Dementia (CINDD) is an easy tool designed to quantify cognitive, behavioural and functional deficits of patients with cognitive impairment. Aim of the present study was to analyse the psychometric properties of the CINDD in Mild Cognitive Impairment (MCI) and Dementia (D). DESIGN, SETTING AND PARTICIPANTS: The CINDD, composed by 9 sub-domains, was administered to fifty-six caregivers of patients with different types of dementia (D) and 44 caregivers of patients with MCI. All patients underwent an extensive neuropsychological assessment, the Neuropsychiatric Inventory (NPI) and functional autonomy scales. The reliability, convergent construct validity and possible cut-off of CINND were measured by Cronbach's alpha (α), Pearson's correlation and ROC analysis, respectively. RESULTS: The D and MCI patients differed only for age (p=0.006). The internal consistency of CINDD was high (α= 0.969). The α-value for each CINDD domain was considered acceptable, except the mood domain (α=0.209). The CINDD total score correlated with cognitive screening tests; each domain of the CINDD correlated with the corresponding score from either tests or NPI (p<0.05), except for visuo-spatial perception skills and apathy. A screening cut-off equal to 59, can be used discriminate D from MCI (Sensitivity=0.70, Specificity=0.57). CONCLUSION: The CINDD is a feasible, accurate and reliable tool for the assessment of cognitive and behavioural difficulties in patients with different degree of cognitive impairment. It may be used to quantify and monitor caregiver-reported ecological data in both clinical and research settings.

Magnetic Resonance T1w/T2w Ratio in the Putamen and Cerebellum as a Marker of Cognitive Impairment in MSA: a Longitudinal Study.

The exact pathophysiology of cognitive impairment in multiple system atrophy (MSA) is unclear. In our longitudinal study, we aimed to analyze (I) the relationships between cognitive functions and some subcortical structures, such as putamen and cerebellum assessed by voxel-based morphometry (VBM) and T1-weighted/T2-weighted (T1w/T2w) ratio, and (II) the neuroimaging predictors of the progression of cognitive deficits. Twenty-six patients with MSA underwent a comprehensive neuropsychological battery, motor examination, and brain MRI at baseline (T0) and 1-year follow-up (T1). Patients were then divided according to cognitive status into MSA with normal cognition (MSA-NC) and MSA with mild cognitive impairment (MCI). At T1, we divided the sample according to worsening/non worsening of cognitive status compared to baseline evaluation. Logistic regression analysis showed that age (ß = - 9.45, p = .02) and T1w/T2w value in the left putamen (ß = 230.64, p = .01) were significant predictors of global cognitive status at T0, explaining 65% of the variance. Logistic regression analysis showed that ∆-values of WM density in the cerebellum/brainstem (ß = 2188.70, p = .02) significantly predicted cognitive worsening at T1, explaining 64% of the variance. Our results suggest a role for the putamen and cerebellum in the cognitive changes of MSA, probably due to their connections with the cortex. The putaminal T1w/T2w ratio may deserve further studies as a marker of cognitive impairment in MSA.

Reliability and validity of the novel Italian version of the 14-item Resilience Scale (RS-14) in adults.

BACKGROUND: The aims of this explore the psychometric properties of the novel Italian version of the 14-item Resilience Scale (RS-14) and to assess the relationship between RS-14, mood and quality of life. METHOD: The original English version of the RS-14 was translated into Italian, and the Italian version was confirmed with back-translation. Three-hundred healthy volunteers (M = 122) aged > 18 years, completed the RS-14 as well as different scales to measure depression, anxiety and quality of life. Statistical analyses were used to measure the reliability, validity and key factors of RS-14. We measured the differences in socio-demographic subgroups, the relationship between mood and RS-14 score and the impact of RS-14 on mental health. RESULTS: The RS-14 showed good acceptability, reliability and validity. Factor analysis indicated a two-factor structure: 'Self-confidence' and 'Self-control', with the former having a more significant impact on mental health. The RS-14 score was not significantly different for sex, age and education, but there was significant difference for marital status. Lower resilience correlated with higher levels of anxiety and depression and with lower quality of life. CONCLUSION: We propose the novel Italian version of the RS-14 which has good reliability and validity. Our results stress the influence of resilience on mental health.

Normative data for the Montreal Cognitive Assessment in an Italian population sample.

The Montreal Cognitive Assessment (MoCA) is a rapid screening battery, also including subtests to assess frontal functions such as set-shifting, abstraction and cognitive flexibility. MoCA seems to be useful to identify non-amnestic mild cognitive impairment (MCI) and subcortical dementia; it has high sensitivity and specificity in distinguishing MCI from mild Alzheimer's Disease. Previous studies revealed that certain items of MoCA may be culturally biased and highlighted the need for population-based norms for the MoCA. The aim of present study was to collect normative values in a sample of Italian healthy subjects. Four hundred and fifteen Italian healthy subjects (252 women and 163 men) of different ages (age range 21-95 years) and educational level (from primary to university) underwent MoCA and Mini Mental State Examination (MMSE). Multiple linear regression analysis revealed that age and education significantly influenced performance on MoCA. No significant effect of gender was found. From the derived linear equation, a correction grid for MoCA raw scores was built. Inferential cut-off score, estimated using a non-parametric technique, is 15.5 and equivalent scores were computed. Correlation analysis showed a significant but weak correlation between MoCA adjusted scores with MMSE adjusted scores (r = 0.43, p < 0.001). The present study provided normative data for the MoCA in an Italian population useful for both clinical and research purposes.