Document Detail

Frailty phenotypes in the elderly based on cluster analysis: a longitudinal study of two Danish cohorts. Evidence for a genetic influence on frailty.
MedLine Citation:
PMID:  21567248     Owner:  NLM     Status:  MEDLINE    
Frailty is a physiological state characterized by the deregulation of multiple physiologic systems of an aging organism determining the loss of homeostatic capacity, which exposes the elderly to disability, diseases, and finally death. An operative definition of frailty, useful for the classification of the individual quality of aging, is needed. On the other hand, the documented heterogeneity in the quality of aging among different geographic areas suggests the necessity for a frailty classification approach providing population-specific results. Moreover, the contribution of the individual genetic background on the frailty status is still questioned. We investigated the applicability of a cluster analysis approach based on specific geriatric parameters, previously set up and validated in a southern Italian population, to two large longitudinal Danish samples. In both cohorts, we identified groups of subjects homogeneous for their frailty status and characterized by different survival patterns. A subsequent survival analysis availing of Accelerated Failure Time models allowed us to formulate an operative index able to correlate classification variables with survival probability. From these models, we quantified the differential effect of various parameters on survival, and we estimated the heritability of the frailty phenotype by exploiting the twin pairs in our sample. These data suggest the presence of a genetic influence on the frailty variability and indicate that cluster analysis can define specific frailty phenotypes in each population.
Serena Dato; Alberto Montesanto; Vincenzo Lagani; Bernard Jeune; Kaare Christensen; Giuseppe Passarino
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Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't     Date:  2011-05-13
Journal Detail:
Title:  Age (Dordrecht, Netherlands)     Volume:  34     ISSN:  1574-4647     ISO Abbreviation:  Age (Dordr)     Publication Date:  2012 Jun 
Date Detail:
Created Date:  2012-04-27     Completed Date:  2012-09-25     Revised Date:  2013-06-30    
Medline Journal Info:
Nlm Unique ID:  101250497     Medline TA:  Age (Dordr)     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  571-82     Citation Subset:  IM    
Department of Cell Biology, University of Calabria, Rende, CS, Italy.
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MeSH Terms
Activities of Daily Living
Aged, 80 and over
Aging / genetics*
Cluster Analysis
Denmark / epidemiology
Disabled Persons / statistics & numerical data*
Follow-Up Studies
Frail Elderly / statistics & numerical data*
Geriatric Assessment / methods*
Hand Strength
Health Status*
Motor Activity / genetics*
Population Surveillance / methods*
Survival Rate / trends
Grant Support

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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