Federica Limongi1, Paola Siviero2, Marianna Noale2, Antonella Gesmundo3, Gaetano Crepaldi2, Stefania Maggi2. 1. National Research Council, Neuroscience Institute-Aging Branch, Via Vincenzo Maria Gallucci, 16, 35128, Padova, Italy. federica.limongi@libero.it. 2. National Research Council, Neuroscience Institute-Aging Branch, Via Vincenzo Maria Gallucci, 16, 35128, Padova, Italy. 3. Department of Medicine, University of Padua, Via Giustiniani 2, 35128, Padova, Italy.
Abstract
BACKGROUND: Mild Cognitive Impairment (MCI) represents a significant risk factor for dementia but there are only a few Italian population studies on its prevalence and its rate of conversion to dementia. AIMS: Aim of this study was to assess the prevalence of MCI, its subtypes, and rates of conversion to dementia 1 year later in an elderly Italian population. METHODS: The data are based on an Italian multicenter population-based cohort study with both cross-sectional and longitudinal components. Two thousand three hundred thirty-seven individuals over 65 underwent screening, clinical confirmation and 1-year follow-up. RESULTS: The prevalence of MCI was 21.6% and the amnestic multiple domain was the most frequent subtype (63.2%). The conversion rate to dementia was 4.1% and was found only in the amnestic multiple domain and in the unclassifiable subjects, persons with cognitive deficit but neither demented nor with MCI. DISCUSSION: The prevalence of MCI in this population sample was similar to that found in other population studies using Petersen's modified MCI criteria as well as his original criteria. With regard to conversion to dementia, our results emphasize the importance to better classify the unclassifiable subjects at high risk of progression to dementia and also at risk of being undiagnosed and untreated. CONCLUSION: MCI is characterized by extreme variability and instability. Data on the prevalence and the rate of conversion from MCI to dementia are difficult to compare given the important differences from study to study especially with regard to the diagnostic criteria utilized and their operationalization.
BACKGROUND: Mild Cognitive Impairment (MCI) represents a significant risk factor for dementia but there are only a few Italian population studies on its prevalence and its rate of conversion to dementia. AIMS: Aim of this study was to assess the prevalence of MCI, its subtypes, and rates of conversion to dementia 1 year later in an elderly Italian population. METHODS: The data are based on an Italian multicenter population-based cohort study with both cross-sectional and longitudinal components. Two thousand three hundred thirty-seven individuals over 65 underwent screening, clinical confirmation and 1-year follow-up. RESULTS: The prevalence of MCI was 21.6% and the amnestic multiple domain was the most frequent subtype (63.2%). The conversion rate to dementia was 4.1% and was found only in the amnestic multiple domain and in the unclassifiable subjects, persons with cognitive deficit but neither demented nor with MCI. DISCUSSION: The prevalence of MCI in this population sample was similar to that found in other population studies using Petersen's modified MCI criteria as well as his original criteria. With regard to conversion to dementia, our results emphasize the importance to better classify the unclassifiable subjects at high risk of progression to dementia and also at risk of being undiagnosed and untreated. CONCLUSION: MCI is characterized by extreme variability and instability. Data on the prevalence and the rate of conversion from MCI to dementia are difficult to compare given the important differences from study to study especially with regard to the diagnostic criteria utilized and their operationalization.
Authors: Keith H Radler; Maria Anna Zdrodowska; Hollie Dowd; Tess E K Cersonsky; Edward D Huey; Stephanie Cosentino; Elan D Louis Journal: Parkinsonism Relat Disord Date: 2020-04-15 Impact factor: 4.891
Authors: Iván José Fuentes-Abolafio; Brendon Stubbs; Luis Miguel Pérez-Belmonte; María Rosa Bernal-López; Ricardo Gómez-Huelgas; Antonio Cuesta-Vargas Journal: BMC Geriatr Date: 2020-08-10 Impact factor: 3.921
Authors: Alessandro Oronzo Caffò; Giuseppina Spano; Luigi Tinella; Antonella Lopez; Elisabetta Ricciardi; Fabrizio Stasolla; Andrea Bosco Journal: Int J Environ Res Public Health Date: 2022-03-06 Impact factor: 3.390