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Different Cognitive Frailty Models and Health- and Cognitive-related Outcomes in Older Age: From Epidemiology to Prevention
Frailty, a critical intermediate status of the aging process that is at increased risk for negative health-related events, includes physical, cognitive, and psychosocial domains or phenotypes. Cognitive frailty is a condition recently defined by operationalized criteria describing coexisting physica...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
IOS Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870024/ https://www.ncbi.nlm.nih.gov/pubmed/29562543 http://dx.doi.org/10.3233/JAD-170963 |
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author | Panza, Francesco Lozupone, Madia Solfrizzi, Vincenzo Sardone, Rodolfo Dibello, Vittorio Di Lena, Luca D’Urso, Francesca Stallone, Roberta Petruzzi, Massimo Giannelli, Gianluigi Quaranta, Nicola Bellomo, Antonello Greco, Antonio Daniele, Antonio Seripa, Davide Logroscino, Giancarlo |
author_facet | Panza, Francesco Lozupone, Madia Solfrizzi, Vincenzo Sardone, Rodolfo Dibello, Vittorio Di Lena, Luca D’Urso, Francesca Stallone, Roberta Petruzzi, Massimo Giannelli, Gianluigi Quaranta, Nicola Bellomo, Antonello Greco, Antonio Daniele, Antonio Seripa, Davide Logroscino, Giancarlo |
author_sort | Panza, Francesco |
collection | PubMed |
description | Frailty, a critical intermediate status of the aging process that is at increased risk for negative health-related events, includes physical, cognitive, and psychosocial domains or phenotypes. Cognitive frailty is a condition recently defined by operationalized criteria describing coexisting physical frailty and mild cognitive impairment (MCI), with two proposed subtypes: potentially reversible cognitive frailty (physical frailty/MCI) and reversible cognitive frailty (physical frailty/pre-MCI subjective cognitive decline). In the present article, we reviewed the framework for the definition, different models, and the current epidemiology of cognitive frailty, also describing neurobiological mechanisms, and exploring the possible prevention of the cognitive frailty progression. Several studies suggested a relevant heterogeneity with prevalence estimates ranging 1.0–22.0% (10.7–22.0% in clinical-based settings and 1.0–4.4% in population-based settings). Cross-sectional and longitudinal population-based studies showed that different cognitive frailty models may be associated with increased risk of functional disability, worsened quality of life, hospitalization, mortality, incidence of dementia, vascular dementia, and neurocognitive disorders. The operationalization of clinical constructs based on cognitive impairment related to physical causes (physical frailty, motor function decline, or other physical factors) appears to be interesting for dementia secondary prevention given the increased risk for progression to dementia of these clinical entities. Multidomain interventions have the potential to be effective in preventing cognitive frailty. In the near future, we need to establish more reliable clinical and research criteria, using different operational definitions for frailty and cognitive impairment, and useful clinical, biological, and imaging markers to implement intervention programs targeted to improve frailty, so preventing also late-life cognitive disorders. |
format | Online Article Text |
id | pubmed-5870024 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | IOS Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-58700242018-03-29 Different Cognitive Frailty Models and Health- and Cognitive-related Outcomes in Older Age: From Epidemiology to Prevention Panza, Francesco Lozupone, Madia Solfrizzi, Vincenzo Sardone, Rodolfo Dibello, Vittorio Di Lena, Luca D’Urso, Francesca Stallone, Roberta Petruzzi, Massimo Giannelli, Gianluigi Quaranta, Nicola Bellomo, Antonello Greco, Antonio Daniele, Antonio Seripa, Davide Logroscino, Giancarlo J Alzheimers Dis Review Frailty, a critical intermediate status of the aging process that is at increased risk for negative health-related events, includes physical, cognitive, and psychosocial domains or phenotypes. Cognitive frailty is a condition recently defined by operationalized criteria describing coexisting physical frailty and mild cognitive impairment (MCI), with two proposed subtypes: potentially reversible cognitive frailty (physical frailty/MCI) and reversible cognitive frailty (physical frailty/pre-MCI subjective cognitive decline). In the present article, we reviewed the framework for the definition, different models, and the current epidemiology of cognitive frailty, also describing neurobiological mechanisms, and exploring the possible prevention of the cognitive frailty progression. Several studies suggested a relevant heterogeneity with prevalence estimates ranging 1.0–22.0% (10.7–22.0% in clinical-based settings and 1.0–4.4% in population-based settings). Cross-sectional and longitudinal population-based studies showed that different cognitive frailty models may be associated with increased risk of functional disability, worsened quality of life, hospitalization, mortality, incidence of dementia, vascular dementia, and neurocognitive disorders. The operationalization of clinical constructs based on cognitive impairment related to physical causes (physical frailty, motor function decline, or other physical factors) appears to be interesting for dementia secondary prevention given the increased risk for progression to dementia of these clinical entities. Multidomain interventions have the potential to be effective in preventing cognitive frailty. In the near future, we need to establish more reliable clinical and research criteria, using different operational definitions for frailty and cognitive impairment, and useful clinical, biological, and imaging markers to implement intervention programs targeted to improve frailty, so preventing also late-life cognitive disorders. IOS Press 2018-03-13 /pmc/articles/PMC5870024/ /pubmed/29562543 http://dx.doi.org/10.3233/JAD-170963 Text en © 2018 – IOS Press and the authors. All rights reserved https://creativecommons.org/licenses/by-nc/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) License (https://creativecommons.org/licenses/by-nc/4.0/) , which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Panza, Francesco Lozupone, Madia Solfrizzi, Vincenzo Sardone, Rodolfo Dibello, Vittorio Di Lena, Luca D’Urso, Francesca Stallone, Roberta Petruzzi, Massimo Giannelli, Gianluigi Quaranta, Nicola Bellomo, Antonello Greco, Antonio Daniele, Antonio Seripa, Davide Logroscino, Giancarlo Different Cognitive Frailty Models and Health- and Cognitive-related Outcomes in Older Age: From Epidemiology to Prevention |
title | Different Cognitive Frailty Models and Health- and Cognitive-related Outcomes in Older Age: From Epidemiology to Prevention |
title_full | Different Cognitive Frailty Models and Health- and Cognitive-related Outcomes in Older Age: From Epidemiology to Prevention |
title_fullStr | Different Cognitive Frailty Models and Health- and Cognitive-related Outcomes in Older Age: From Epidemiology to Prevention |
title_full_unstemmed | Different Cognitive Frailty Models and Health- and Cognitive-related Outcomes in Older Age: From Epidemiology to Prevention |
title_short | Different Cognitive Frailty Models and Health- and Cognitive-related Outcomes in Older Age: From Epidemiology to Prevention |
title_sort | different cognitive frailty models and health- and cognitive-related outcomes in older age: from epidemiology to prevention |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870024/ https://www.ncbi.nlm.nih.gov/pubmed/29562543 http://dx.doi.org/10.3233/JAD-170963 |
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