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Clinical and demographic parameters predict the progression from mild cognitive impairment to dementia in elderly patients
OBJECTIVES: To evaluate the possibility of predicting the risk of progression from mild cognitive impairment (MCI) to dementia using a combination of clinical/demographic parameters. METHODS: A total of 462 MCI elderly patients (follow-up: 33 months). Variable measured included cognitive functions,...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8249246/ https://www.ncbi.nlm.nih.gov/pubmed/32918697 http://dx.doi.org/10.1007/s40520-020-01697-8 |
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author | Zuliani, Giovanni Polastri, Michele Romagnoli, Tommaso Marabini, Lisa Seripa, Davide Cervellati, Carlo Zurlo, Amedeo Passaro, Angelina Brombo, Gloria |
author_facet | Zuliani, Giovanni Polastri, Michele Romagnoli, Tommaso Marabini, Lisa Seripa, Davide Cervellati, Carlo Zurlo, Amedeo Passaro, Angelina Brombo, Gloria |
author_sort | Zuliani, Giovanni |
collection | PubMed |
description | OBJECTIVES: To evaluate the possibility of predicting the risk of progression from mild cognitive impairment (MCI) to dementia using a combination of clinical/demographic parameters. METHODS: A total of 462 MCI elderly patients (follow-up: 33 months). Variable measured included cognitive functions, age, gender, MCI type, education, comorbidities, clinical chemistry, and functional status. RESULTS: Amnestic type (aMCI) represented 63% of the sample, non-amnestic (naMCI) 37%; 190 subjects progressed to dementia, 49% among aMCI, and 28% among naMCI. At Cox multivariate regression analysis, only MMSE (one point increase HR 0.84; 95% CI 0.79–0.90), aMCI (HR 2.35; 95% CI 1.39–3.98), and age (1 year increase HR 1.05; 95% CI 1.01–1.10) were independently associated with progression to dementia. A score was created based on these dichotomized variables (score 0–3): age (≥ or < 78 years), MMSE score (≥ or < 25/30) and aMCI type. The conversion rate progressed from 6% in subjects with score 0 (negative predictive value: 0.94), to 31% in individuals with score 1, to 53% in subjects with score 2, to 72% in individuals with score 3 (positive predictive value: 0.72). ROC curve analysis showed an area under the curve of 0.72 (95% CI 0.66–0.75, p 0.0001). CONCLUSIONS: We have described a simple score, based on previously recognized predictors such as age, MMSE, and MCI type, which may be useful for an initial stratification of the risk of progression to dementia in patients affected by MCI. The score might help the clinicians to evaluate the need for more expansive/invasive examinations and for a closer follow-up in MCI patients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s40520-020-01697-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-8249246 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-82492462021-07-20 Clinical and demographic parameters predict the progression from mild cognitive impairment to dementia in elderly patients Zuliani, Giovanni Polastri, Michele Romagnoli, Tommaso Marabini, Lisa Seripa, Davide Cervellati, Carlo Zurlo, Amedeo Passaro, Angelina Brombo, Gloria Aging Clin Exp Res Original Article OBJECTIVES: To evaluate the possibility of predicting the risk of progression from mild cognitive impairment (MCI) to dementia using a combination of clinical/demographic parameters. METHODS: A total of 462 MCI elderly patients (follow-up: 33 months). Variable measured included cognitive functions, age, gender, MCI type, education, comorbidities, clinical chemistry, and functional status. RESULTS: Amnestic type (aMCI) represented 63% of the sample, non-amnestic (naMCI) 37%; 190 subjects progressed to dementia, 49% among aMCI, and 28% among naMCI. At Cox multivariate regression analysis, only MMSE (one point increase HR 0.84; 95% CI 0.79–0.90), aMCI (HR 2.35; 95% CI 1.39–3.98), and age (1 year increase HR 1.05; 95% CI 1.01–1.10) were independently associated with progression to dementia. A score was created based on these dichotomized variables (score 0–3): age (≥ or < 78 years), MMSE score (≥ or < 25/30) and aMCI type. The conversion rate progressed from 6% in subjects with score 0 (negative predictive value: 0.94), to 31% in individuals with score 1, to 53% in subjects with score 2, to 72% in individuals with score 3 (positive predictive value: 0.72). ROC curve analysis showed an area under the curve of 0.72 (95% CI 0.66–0.75, p 0.0001). CONCLUSIONS: We have described a simple score, based on previously recognized predictors such as age, MMSE, and MCI type, which may be useful for an initial stratification of the risk of progression to dementia in patients affected by MCI. The score might help the clinicians to evaluate the need for more expansive/invasive examinations and for a closer follow-up in MCI patients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s40520-020-01697-8) contains supplementary material, which is available to authorized users. Springer International Publishing 2020-09-12 2021 /pmc/articles/PMC8249246/ /pubmed/32918697 http://dx.doi.org/10.1007/s40520-020-01697-8 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Zuliani, Giovanni Polastri, Michele Romagnoli, Tommaso Marabini, Lisa Seripa, Davide Cervellati, Carlo Zurlo, Amedeo Passaro, Angelina Brombo, Gloria Clinical and demographic parameters predict the progression from mild cognitive impairment to dementia in elderly patients |
title | Clinical and demographic parameters predict the progression from mild cognitive impairment to dementia in elderly patients |
title_full | Clinical and demographic parameters predict the progression from mild cognitive impairment to dementia in elderly patients |
title_fullStr | Clinical and demographic parameters predict the progression from mild cognitive impairment to dementia in elderly patients |
title_full_unstemmed | Clinical and demographic parameters predict the progression from mild cognitive impairment to dementia in elderly patients |
title_short | Clinical and demographic parameters predict the progression from mild cognitive impairment to dementia in elderly patients |
title_sort | clinical and demographic parameters predict the progression from mild cognitive impairment to dementia in elderly patients |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8249246/ https://www.ncbi.nlm.nih.gov/pubmed/32918697 http://dx.doi.org/10.1007/s40520-020-01697-8 |
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