Different Cognitive Frailty Models and Health- and Cognitive-related Outcomes in Older Age: From Epidemiology to Prevention - PubMed (original) (raw)
Review
doi: 10.3233/JAD-170963.
Francesco Panza [ 1](#full-view-affiliation-1 "Department of Medical Sciences, Geriatric Unit and Laboratory of Gerontology and Geriatrics, IRCCS "Casa Sollievo della Sofferenza", San Giovanni Rotondo, Foggia, Italy.") 2 [ 3](#full-view-affiliation-3 "Department of Clinical Research in Neurology, University of Bari Aldo Moro, "Pia Fondazione Cardinale G. Panico", Tricase, Lecce, Italy."), Vincenzo Solfrizzi [ 4](#full-view-affiliation-4 "Geriatric Medicine-Memory Unit and Rare Disease Centre, University of Bari "Aldo Moro", Bari, Italy."), Rodolfo Sardone [ 5](#full-view-affiliation-5 "National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte Bari, Italy."), Vittorio Dibello 6, Luca Di Lena [ 5](#full-view-affiliation-5 "National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte Bari, Italy."), Francesca D'Urso 7, Roberta Stallone 2, Massimo Petruzzi 6, Gianluigi Giannelli [ 5](#full-view-affiliation-5 "National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte Bari, Italy."), Nicola Quaranta 8, Antonello Bellomo 7, Antonio Greco [ 1](#full-view-affiliation-1 "Department of Medical Sciences, Geriatric Unit and Laboratory of Gerontology and Geriatrics, IRCCS "Casa Sollievo della Sofferenza", San Giovanni Rotondo, Foggia, Italy."), Antonio Daniele 9, Davide Seripa [ 1](#full-view-affiliation-1 "Department of Medical Sciences, Geriatric Unit and Laboratory of Gerontology and Geriatrics, IRCCS "Casa Sollievo della Sofferenza", San Giovanni Rotondo, Foggia, Italy."), Giancarlo Logroscino 2 [ 3](#full-view-affiliation-3 "Department of Clinical Research in Neurology, University of Bari Aldo Moro, "Pia Fondazione Cardinale G. Panico", Tricase, Lecce, Italy.")
Affiliations
- PMID: 29562543
- PMCID: PMC5870024
- DOI: 10.3233/JAD-170963
Review
Different Cognitive Frailty Models and Health- and Cognitive-related Outcomes in Older Age: From Epidemiology to Prevention
Francesco Panza et al. J Alzheimers Dis. 2018.
Abstract
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.
Keywords: Alzheimer’s disease; biomarkers; dementia; frailty; lifestyle; mild cognitive impairment; nutrition; prevention; subjective cognitive decline; vascular dementia.
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