Prestroke Cognitive Impairment: Frequency and Association With Premorbid Neuropsychiatric, Functional, and Neuroimaging Features.

BACKGROUND: Some patients with stroke have prestroke cognitive impairment (pre-SCI), but its etiology is not clear. The aim of this cross-sectional study was to assess the frequency of pre-SCI and its association with premorbid neuropsychiatric, functional, and neuroimaging features. METHODS: Patients hospitalized in stroke unit with an informant who could complete IQCODE (Informant Questionnaire for Cognitive Decline in the Elderly) were included. Pre-SCI was diagnosed if the IQCODE score was >3.3. Prestroke assessment also included NPI-Q (Neuropsychiatric Inventory Questionnaire), the basic Activities of Daily Living and Instrumental Activities of Daily Living scales, and the Clinical Dementia Rating scale. A multivariate logistic regression model was used to evaluate the association of pre-SCI with age, sex, education, arterial hypertension, atrial fibrillation, white matter lesions, cerebral microbleeds, and pathological medial temporal lobe atrophy. RESULTS: IQCODE was available in 474 of 520 patients (91.2%; 45% women; mean age 75.5±13.3 years). Pre-SCI had a prevalence of 32.5% and was associated with prestroke NPI-Q (pre-SCI absent versus present, 1.7±2.3 versus 5.5±4.9; P<0.001), Activities of Daily Living scale (0.3±0.8 versus 1.8±1.9; P<0.001), Instrumental Activities of Daily Living scale (0.6±1.3 versus 3.8±4.0; P<0.001), and Clinical Dementia Rating scale score (0.7±1.7 versus 7.2±6.2; P<0.001). In the 271 patients with a magnetic resonance imaging available, the multivariate logistic regression showed that age (odds ratio [OR], 1.05 [95% CI, 1.62-9.73]), white matter lesions (OR, 1.26 [95% CI, 1.003-1.58]), and a pathological medial temporal lobe atrophy score (OR, 3.97 [95% CI, 1.62-9.73]) were independently associated with pre-SCI. In the 218 patients with ischemic stroke, white matter lesions (OR, 1.34 [95% CI, 1.04-1.72]) and medial temporal lobe atrophy (OR, 3.56 [95% CI, 1.38-9.19]), but not age, were associated with pre-SCI. CONCLUSIONS: One-third of patients admitted to a stroke unit have pre-SCI that is associated with preexisting neuropsychiatric symptoms and functional performance. White matter lesions and medial temporal lobe atrophy are associated with pre-SCI, suggesting that both small vessel disease and neurodegeneration might be involved in its etiology.

Predictivity of the clock drawing test in the acute phase of cerebrovascular diseases on cognitive decline at a 6-month neuropsychological evaluation.

INTRODUCTION: We showed that the Clock Drawing Test (CDT) performed during the acute phase of cerebrovascular diseases predicted worsening of cognitive function defined based on a clinical judgement at a 3-month follow-up. The aim of this study was to verify the predictivity of the CDT on the worsening of cognitive status assessed with an extensive neuropsychological evaluation 6 months after the acute event. METHODS: Patients with a stroke or transient ischemic attack underwent a baseline clinical, neuroimaging, and neuropsychological assessment, including the CDT. Premorbid cognitive status was evaluated by means of the Clinical Dementia Rating scale. Between 6 and 7 months after the acute event, all patients underwent a neuropsychological evaluation that included tests for executive function, attention, language, memory, and visuospatial abilities. RESULTS: Fifty patients (29 males; mean age 72.2 years) were enrolled: 28 (56%) had no premorbid cognitive impairment, 15 (30%) had premorbid mild cognitive impairment (MCI), and 4 (8%) had premorbid dementia; for 3 patients, evaluation of premorbid status was not available. At follow-up, 11 (22%) had no cognitive impairment, 28 (56%) were diagnosed with MCI, and 11 (22%) dementia. In patients who were non-demented before the event, on regression analysis, the score obtained at CDT was predictive of decline of cognitive status at the 6-month follow-up (OR 1.65; 95% CI 1.08-2.52). DISCUSSION: Our study confirms that administering the CDT during the acute phase of cerebrovascular diseases is informative with regard to the worsening of cognitive function after 6 months.

Neuropsychological screening in the acute phase of cerebrovascular diseases.

INTRODUCTION: Cognitive impairment is a common and disabling consequence of stroke. Its prevalence, the best way to screen for it in the acute setting, and its relation with premorbid status have not been thoroughly clarified. MATERIALS AND METHODS: Ischemic and hemorrhagic stroke patients admitted to our stroke unit underwent a baseline assessment that included a clinical and neuroimaging assessment, two cognitive tests (clock-drawing test, CDT; Montreal Cognitive Assessment-Basic, MoCA-B) and measures of premorbid function (including the Clinical Dementia Rating Scale). A follow-up examination was repeated 3-4 months after the acute event. RESULTS: Two hundred and twenty-three patients (52.5% women, mean age ± SD 75.8 years ± 12.3) were evaluated. Prestroke cognitive impairment was present in 91 patients (40.8%). At follow-up, the prevalence of cognitive impairment was 49%, while its incidence among patients who did not have any prestroke cognitive impairment was 38.8%. Of the originally admitted 223 patients (71 were lost to follow-up), only 60 (26.9%) were still cognitively intact at follow-up. On regression analysis, age and baseline CDT were associated with worsening of cognitive status at follow-up. In patients without cognitive impairment at baseline, a cutoff of 23 for MoCA-B and of 8.7 for CDT scores predicted the diagnosis of post-stroke cognitive impairment with sufficient accuracy. DISCUSSION AND CONCLUSION: Prestroke and post-stroke cognitive impairment affect a large proportion of patients with stroke. Our findings suggest that a neuropsychological screening during the acute phase might be predictive of the development of post-stroke cognitive impairment.

Living Alone and Dementia Incidence: A Clinical-Based Study in People With Mild Cognitive Impairment.

INTRODUCTION: Social isolation and living alone have been associated with negative outcomes, especially in the older population. We aim to investigate the effect of living alone on the development of dementia in people with mild cognitive impairment (MCI). MATERIALS AND METHODS: In this longitudinal study, we enrolled 345 outpatients with MCI evaluated at baseline through a clinical and neuropsychological protocol. Data on living situation (living alone vs. living with someone) were also collected. The development of dementia at follow-up was the outcome of the study. Hazard ratios (HRs) with 95% confidence intervals (CIs) were estimated using Cox regression analyses. Laplace regression was used to model the time-to-dementia diagnosis as a function of living situation. RESULTS: During the follow-up time (mean [SD]: 2.8 [2.2] years), 172 (50%) participants developed dementia. After controlling for age, sex, years of education, MCI subtype, presence of comorbidities, and antidepressant therapy, people with MCI living alone were more likely to develop dementia (HR: 1.5; 95% CI: 1.1-2.1), when compared to those living with someone. In addition, participants with MCI living alone were diagnosed with dementia 1 year earlier than those living with someone ( P = .012). CONCLUSION: Living alone increases by 50% the risk of developing dementia and anticipates by 1 year the diagnosis in people with MCI. These results, in line with findings of previous population-based studies, emphasize the pivotal role of the living situation in identifying a frailer share of the population at higher risk of dementia to which devote ad hoc assessment and care.

Free and cued selective reminding test predicts progression to Alzheimer's disease in people with mild cognitive impairment.

INTRODUCTION: To assess the diagnostic accuracy of the free and cued selective reminding test (FCSRT) for the development of Alzheimer's disease (AD) in people with mild cognitive impairment (MCI). METHODS: We enrolled 187 consecutive MCI outpatients from a memory clinic that were evaluated at baseline and every 6 to 12 months through an extensive clinical and neuropsychological protocol. For each test, measures of diagnostic accuracy were obtained. To improve the overall specificity of the neuropsychological battery, we also used the diagnostic tests in parallel combination. The association between FCSRT indexes and AD was tested through proportional hazard regression models with other dementia subtypes as competing event. Laplace regression was used to model time-to-AD diagnosis as a function of FCSRT indexes. RESULTS: The area under the curve of the FCSRT indexes ranged from 0.69 (95% CI: 0.62-0.76) to 0.76 (95% CI: 0.70-0.82). The specificity peaked up to 100% when we combined the category fluency test with the delayed total recall index of the FCSRT. Participants who tested positive at the FCSRT, as compared with those with negative tests, presented a twofold to fivefold higher risk of developing AD (median follow-up time 2.5 years; p < 0.001) and were diagnosed with AD 2-3 years earlier (p < 0.001). DISCUSSION: The FCSRT assessment suite shows the best predictive performance in detecting AD in people with MCI. These findings might help to reliably and timely identify people at higher risk of AD that is crucial both for properly selecting participants to clinical trials and to fine tune an effective and patient-centered care.

Body Mass Index Predicts Progression of Mild Cognitive Impairment to Dementia.

AIMS: To examine the relationship between body mass index (BMI) and progression to dementia and Alzheimer's disease (AD) in mild cognitive impairment (MCI). MATERIALS AND METHODS: Two hundred and twenty-eight MCI subjects (mean age 74.04 ± 6.94 years; 57% female) from a memory clinic were followed for 2.40 ± 1.58 years. Baseline height and weight were used to calculate the BMI. The main outcome was progression to dementia (DSM-IV criteria) and AD (NINCDS-ADRDA criteria). Cox proportional hazard models were used to assess the longitudinal association of BMI with dementia and AD, adjusting for a comprehensive set of covariates, including vascular risk factors/diseases and neuroimaging profiles. RESULTS: Out of 228 subjects with MCI, 117 (51.3%) progressed to dementia. Eighty-nine (76%) of the incident dementia cases had AD. In both unadjusted and multi-adjusted models, a higher BMI was associated with a reduced risk of dementia (multi-adjusted HR 0.9; 95% CI 0.8-0.9) and AD (multi-adjusted HR 0.9; 95% CI 0.8-0.9). Being underweight increased the risk of all types of dementia (multi-adjusted HR 2.5; 95% CI 1.2-5.1) but was not specifically associated with AD (multi-adjusted HR 2.2; 95% CI 0.9-5.3). CONCLUSIONS: BMI predicted progression of MCI to dementia and AD. In particular, a higher BMI was associated with a lower risk of dementia and AD, and underweight was associated with a higher risk of dementia. BMI assessment may improve the prognostic accuracy of MCI in clinical practice.

The Clock Drawing Test as a predictor of cognitive decline in non-demented stroke patients.

BACKGROUND: The early detection of patients at risk of post-stroke cognitive impairment (PSCI) may help planning subacute and long-term care. We aimed to determine the predictivity of two screening cognitive tests on the occurrence of mild cognitive impairment or dementia in acute stroke patients. METHODS: A cognitive assessment within a few days of ischemic or hemorrhagic stroke was performed in patients consecutively admitted to a stroke unit over 14 months by means of the Clock Drawing Test (CDT) and the Montreal Cognitive Assessment-Basic (MoCA-B). RESULTS: Out of 191 stroke survivors who were non-demented at baseline, 168 attended at least one follow-up visit. At follow-up (mean duration ± SD 12.8 ± 8.7 months), 28 (18.9%) incident cases of MCI and 27 (18%) cases of dementia were recorded. In comparison with patients who remained cognitively stable at follow-up, these patients were older, less educated, had more comorbidities, a higher score on the National Institutes of Health Stroke Scale (NIHSS) at admission, more severe cerebral atrophy, and lower MoCA-B and CDT scores at baseline. In multi-adjusted (for age, education, comorbidities score, NIHSS at admission and atrophy score) model, a pathological score on baseline CDT (< 6.55) was associated with a higher risk of PSCI at follow-up (HR 2.022; 95% CI 1.025-3.989, p < 0.05) with respect to non-pathological scores. A pathological baseline score on MoCA-B (< 24) did not predict increased risk of cognitive decline at follow-up nor increased predictivity of stand-alone CDT. CONCLUSION: A bedside cognitive screening with the CDT helps identifying patients at higher risk of PSCI.

Self-Awareness for Memory Impairment in Amnestic Mild Cognitive Impairment: A Longitudinal Study.

AIM: To assess memory impairment insight as a predictor of dementia and Alzheimer's disease (AD) in amnestic mild cognitive impairment (MCI). METHODS: To verify whether the awareness of memory impairment assessed by Geriatric Depression Scale (GDS) was associated with the risk of progression to dementia and AD in a cohort of MCI, we used a Cox regression model adjusted for age, sex, education, subtypes of amnestic MCI, Mini-Mental State Examination, Cumulative Illness Rating Scale severity index, and apolipoprotein E genotype. RESULTS: During a follow-up of 27.7 (20.8) months, 205 (63.3%) of 324 patients with amnestic MCI progressed to dementia, including 141 to AD. No association was found in the unadjusted, partially adjusted (for sociodemographic variables), and fully adjusted multivariate Cox analysis between the awareness of memory impairment and the progression to dementia and AD. DISCUSSION: Awareness or anosognosia of memory deficits, identified by GDS, is not useful to predict progression to dementia of patients with amnestic MCI.

Nutritional status and body composition by bioelectrical impedance vector analysis: A cross sectional study in mild cognitive impairment and Alzheimer's disease.

AIMS: Analysis of nutritional status and body composition in Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI). METHODS: A cross-sectional study was performed in a University-Hospital setting, recruiting 59 patients with AD, 34 subjects with MCI and 58 elderly healthy controls (HC). Nutritional status was assessed by anthropometric parameters (body mass index; calf, upper arm and waist circumferences), Mini Nutritional Assessment (MNA) and body composition by bioelectrical impedance vector analysis (BIVA). Variables were analyzed by analysis of variance and subjects were grouped by cognitive status and gender. RESULTS: Sociodemographic variables did not differ among the three groups (AD, MCI and HC), except for females' age, which was therefore used as covariate in a general linear multivariate model. MNA score was significantly lower in AD patients than in HC; MCI subjects achieved intermediate scores. AD patients (both sexes) had significantly (p<0.05) higher height-normalized impedance values and lower phase angles (body cell mass) compared with HC; a higher ratio of impedance to height was found in men with MCI with respect to HC. With BIVA method, MCI subjects showed a significant displacement on the RXc graph on the right side indicating lower soft tissues (Hotelling's T2 test: men = 10.6; women = 7.9;p < 0,05) just like AD patients (Hotelling's T2 test: men = 18.2; women = 16.9; p<0,001). CONCLUSION: Bioelectrical parameters significantly differ from MCI and AD to HC; MCI showed an intermediate pattern between AD and HC. Longitudinal studies are required to investigate if BIVA could reflect early AD-changes in body composition in subjects with MCI.

Construct validity of the Free and Cued Selective Reminding Test in older adults with memory complaints.

INTRODUCTION: The Free and Cued Selective Reminding Test (FCSRT) is the memory test recommended by the International Working Group on Alzheimer's disease (AD) for the detection of amnestic syndrome of the medial temporal type in prodromal AD. Assessing the construct validity and internal consistency of the Italian version of the FCSRT is thus crucial. METHODS: The FCSRT was administered to 338 community-dwelling participants with memory complaints (57% females, age 74.5 ± 7.7 years), including 34 with AD, 203 with Mild Cognitive Impairment, and 101 with Subjective Memory Impairment. Internal Consistency was estimated using Cronbach's alpha coefficient. To assess convergent validity, five FCSRT scores (Immediate Free Recall, Immediate Total Recall, Delayed Free Recall, Delayed Total Recall, and Index of Sensitivity of Cueing) were correlated with three well-validated memory tests: Story Recall, Rey Auditory Verbal Learning test, and Rey Complex Figure (RCF) recall (partial correlation analysis). To assess divergent validity, a principal component analysis (an exploratory factor analysis) was performed including, in addition to the above-mentioned memory tasks, the following tests: Word Fluencies, RCF copy, Clock Drawing Test, Trail Making Test, Frontal Assessment Battery, Raven Coloured Progressive Matrices, and Stroop Colour-Word Test. RESULTS: Cronbach's alpha coefficients for immediate recalls (IFR and ITR) and delayed recalls (DFR and DTR) were, respectively, .84 and .81. All FCSRT scores were highly correlated with those of the three well-validated memory tests. The factor analysis showed that the FCSRT does not load on the factors saturated by non-memory tests. CONCLUSIONS: These findings indicate that the FCSRT has a good internal consistency and has an excellent construct validity as an episodic memory measure.

Weight Loss Predicts Progression of Mild Cognitive Impairment to Alzheimer's Disease.

BACKGROUND: Weight loss is common in people with Alzheimer's disease (AD) and it could be a marker of impending AD in Mild Cognitive Impairment (MCI) and improve prognostic accuracy, if accelerated progression to AD would be shown. AIMS: To assess weight loss as a predictor of dementia and AD in MCI. METHODS: One hundred twenty-five subjects with MCI (age 73.8 ± 7.1 years) were followed for an average of 4 years. Two weight measurements were carried out at a minimum time interval of one year. Dementia was defined according to DSM-IV criteria and AD according to NINCDS-ADRDA criteria. Weight loss was defined as a ≥4% decrease in baseline weight. RESULTS: Fifty-three (42.4%) MCI progressed to dementia, which was of the AD-type in half of the cases. Weight loss was associated with a 3.4-fold increased risk of dementia (95% CI = 1.5-6.9) and a 3.2-fold increased risk of AD (95% CI = 1.4-8.3). In terms of years lived without disease, weight loss was associated to a 2.3 and 2.5 years earlier onset of dementia and AD. CONCLUSIONS: Accelerated progression towards dementia and AD is expected when weight loss is observed in MCI patients. Weight should be closely monitored in elderly with mild cognitive impairment.

Reversible Mild Cognitive Impairment: The Role of Comorbidities at Baseline Evaluation.

The prognostic value of mild cognitive impairment (MCI) is being questioned, with some MCI subjects reverting to normal cognition (NC). The reversion rate varies mostly depending on the study design, the setting, and both MCI and NC definitions. Previous studies have focused on the profile of subjects who revert to NC, but the role of comorbidities has not been entirely investigated. We aimed to evaluate the proportion of MCI subjects who revert to NC in a memory clinic context, focusing on the role of comorbidities. Between 2004 and 2013, 374 MCI subjects were recruited. During a mean time of 32 ± 25.5 months, 21 subjects (5.6%) reverted to NC. Subjects who reverted to NC were younger (p = 0.0001), more educated (p = 0.0001), had a better global cognition (p = 0.0001), as assessed by the Mini-Mental State Examination (MMSE) and suffered from more comorbidities (p = 0.002), as assessed by Cumulative Illness Rating Scale (CIRS) than those who developed dementia. The Cox Regression Model, constructed to adjust for the confounders, showed that the higher were the MMSE (HR = 1.83, CI 95%: 1.07-3.11) and the CIRS score (HR = 1.3, CI 95% 0.88-1.92) at baseline, the higher was the probability of returning to NC than developing dementia, though the last association was not significant. Subjects who reverted to NC were more frequently affected by respiratory (p = 0.002), urologic (p = 0.012), and psychiatric (p = 0.012) diseases. The cognitive performance of subjects with medical comorbidities could benefit from preventive strategies aimed at treating the underlying diseases.

Physical activity reduces the risk of dementia in mild cognitive impairment subjects: a cohort study.

BACKGROUND: Leisure activities, particularly exercise, play a protective role against dementia in healthy people, but it is unknown if this protective effect could be generalized to subjects with mild cognitive impairment (MCI). OBJECTIVE: To investigate the influence of leisure activities on the risk of progression of MCI to dementia. METHODS: 176 MCI subjects attending a memory clinic underwent a standardized lifestyle questionnaire between October 2007 and May 2010. Social, cognitive, and physical scores were derived based on the assiduity of interpersonal contacts and on the frequency of participation in individual leisure activities. Subjects were requested to return every 12 months for dementia surveillance. The outcome measure was the risk of dementia associated with social, cognitive, and physical scores. RESULTS: Over a median follow-up time of 2.59 year, 92 (52.2%) MCI subjects developed dementia. Subjects with physical scores in the highest third had a lower risk (HR 0.44; 95% CI 0.23-0.85) of dementia compared with those in the lowest third. No association was found between cognitive or social scores and the risk of dementia. CONCLUSION: To our knowledge, this is the first prospective clinical study which demonstrates that high levels of participation in physical leisure activities are associated with reduced risk of dementia in subjects with MCI. In line with findings coming from community-based studies on healthy elderly, our finding suggests that the protective role of exercise against the development of dementia can be generalized to MCI subjects seen in clinical practice. Clinicians should encourage MCI subjects to participate in physical leisure activities.