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Search: WFRF:(Cucumo Valentina)

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1.
  • Cova, Ilaria, et al. (author)
  • Body Mass Index Predicts Progression of Mild Cognitive Impairment to Dementia
  • 2016
  • In: Dementia and Geriatric Cognitive Disorders. - : S. Karger AG. - 1420-8008 .- 1421-9824. ; 41:3-4, s. 172-180
  • Journal article (peer-reviewed)abstract
    • 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.
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2.
  • Cova, Ilaria, et al. (author)
  • Weight Loss Predicts Progression of Mild Cognitive Impairment to Alzheimer's Disease
  • 2016
  • In: PLOS ONE. - : Public Library of Science (PLoS). - 1932-6203. ; 11:3
  • Journal article (peer-reviewed)abstract
    • 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.
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3.
  • Grande, Giulia, et al. (author)
  • Free and cued selective reminding test predicts progression to Alzheimer's disease in people with mild cognitive impairment
  • 2018
  • In: Neurological Sciences. - : Springer Science and Business Media LLC. - 1590-1874 .- 1590-3478. ; 39:11, s. 1867-1875
  • Journal article (peer-reviewed)abstract
    • 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.
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4.
  • Grande, Giulia, et al. (author)
  • Living Alone and Dementia Incidence : A Clinical-Based Study in People With Mild Cognitive Impairment
  • 2018
  • In: Journal of Geriatric Psychiatry and Neurology. - : SAGE Publications. - 0891-9887 .- 1552-5708. ; 31:3, s. 107-113
  • Journal article (peer-reviewed)abstract
    • 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.
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