Search

Aim: Mini-Mental State Examination (MMSE) is one of the most used tests for the screening of global cognition in patients with neurological and medical disorders. Norms for the Italian version of the test were published in the 90 s; more recent norms were published in 2020 for Southern Italy only. In the present study, we computed novel adjustment coefficients, equivalent scores and cut-off value for Northern Italy (Lombardia and Veneto) and Italian speaking Switzerland. Methods: We recruited 361 healthy young and old (range: 20–95 years) individuals of both sexes (men: 156, women: 205) and from different educational levels (range: 4–22 years). Neuropsychiatric disorders and severe medical conditions were excluded with a questionnaire and cognitive deficits and were ruled out with standardized neuropsychological tests assessing the main cognitive domains. We used a slightly modified version of MMSE: the word ‘fiore’ was replaced with ‘pane’ in verbal recalls to reduce the common interference error ‘casa, cane, gatto’. The effect of socio-demographic features on performance at MMSE was assessed via multiple linear regression, with test raw score as dependent variable and sex, logarithm of 101—age and square root of schooling as predictors. Results: Mean raw MMSE score was 28.8 ± 1.7 (range: 23–30). Multiple linear regression showed a significant effect of all socio-demographic variables and reported a value of R2 = 0.26. The new cut off was ≥ 26 /30. Conclusion: We provide here updated norms for a putatively more accurate version of Italian MMSE, produced in a Northern population but potentially valid all over Italy.

Background: Patients suffering from stroke in the acute/post-acute phases often present with depressive mood — which negatively impacts on patients’ prognosis. However, psychometric evaluation of mood in acute stroke patients may be challenging due to cognitive deficits. Tools investigating emotional states via a vertical analogue line may overcome language/visuo-spatial disorders. This study thus aimed at (a) investigating the clinical usability of a Visual Analogue Mood Scale (VAMS) in acute stroke patients and (b) investigating the interplay between mood and cognition in this population. Methods: Forty-one acute stroke patients were compared to 41 age-, education- and sex-matched healthy participants (HPs) on the VAMS and on cognitive measures (mental performance in acute stroke, MEPS). A control line bisection (LB) task was administered to control for potential visuo-spatial deficits in patients. Results: Patients reported higher depression levels than HPs (lower VAMS scores); this between-group difference stayed significant when covarying for LB scores. MEPS scores discriminated patients from HPs; among cognitive measures, only the Clock drawing test (CDT) was positively associated with VAMS scores. Lesion side did not affect patients’ mood state; however, disease duration was inversely related to VAMS scores. Discussion: The VAMS proved to be a suitable tool for assessing mood in acute stroke patients, as being independent from post-stroke cognitive sequelae. The CDT might represent an adequate measure of depression-induced, post-stroke cognitive efficiency decrease. Mood disorders might occur and thus should be adequately addressed also in post-acute phases — likely due to longer hospitalization times and regression of anosognosic features.

Background: Working memory (WM) abilities are frequently impaired in neurological disorders affecting fronto-parietal cortical/sub-cortical structures. WM deficits negatively influence interventional outcomes and everyday functioning. This study thus aimed at the following: (a) developing and standardizing an ecologically valid task for WM assessment (Ice Cream Test, ICT); (b) validating and norming a novel WM test (Digit Ordering Test, DOT), as well as providing updated norms for digit span (DS) tasks, in an Italian population sample; (c) introducing a novel scoring procedure for measuring WM. Methods: One-hundred and sixty-eight Italian healthy participants—73 male, 95 females; age: 48.4 ± 19.1 (18–86); education: 12.1 ± 4.8 (4–21)—underwent a thorough WM assessment—DOT, ICT, and both forward and backward DS tasks (FDS, BDS). The ICT requires participants to act as waiters who have to keep track of customers’ orders. For each task, WM and total (T) outcomes were computed, i.e., the number of elements in the longest sequence and that of recalled sequences, respectively. Norms were derived via the equivalent score (ES) method. Results: DS ratios (DSRs) were computed for both WM/S and T outcomes on raw DS measures (BDS divided by FDS). Age and education significantly predicted all WM tasks; sex affected FDS and DSR-T scores (males > females). WM measures were highly internally related. Discussion: The present work provides Italian practitioners with a normatively updated, multi-component, adaptive battery for WM assessment (WoMAB) as well as with novel outcomes which capture different WM facets—WM capacity and attentive monitoring abilities.