Maurizio Gallucci1, Cinzia Piovesan2, Maria Elena Di Battista1. 1. Cognitive Impairment Center, Local Health Authority n. 2 Marca Trevigiana, Treviso, Italy. 2. Public Health Section, Local Health Authority n. 2 Marca Trevigiana, Treviso, Italy.
Abstract
BACKGROUND: Frailty is a condition which is characterized by a reduction in the homeostatic reserves of the individual and which entails an increased vulnerability to stressful endogenous and exogenous agents. The Frailty Index (FI), proposed by Rockwood, was designed following an accumulation of deficits model: the greater the number of deficits in a given individual, the greater the degree of frailty. OBJECTIVE: The aim of this study was to verify the existence of associations between FI and cerebral atrophy. METHODS: The TREDEM Register (Treviso Dementia) provided retrospective observational data from 1,584 patients. The FI was calculated based on 50 variables comprising diseases, disability, behavioral disturbances, and blood chemistry parameters. The severity of atrophy in the cortical and subcortical regions, such as the amplitude of the lateral ventricles, were detected by computerized axial tomography (CAT). Multiple logistic regression models using the stepwise backward method were used to analyze possible associations between FI and atrophy. RESULTS: For each increment of one hundredth of the FI, the probability of cortical atrophy increases by 2%. The female gender is a protective factor for cortical and subcortical atrophy. At each increase of one percent of the FI, the probability of a severe degree of cortical atrophy increases by 3%. The FI was significantly associated with frontal and temporal cortical atrophy. The relationship between overall subcortical atrophy and the FI was not significant, whereas it was the one with the severe degree of subcortical atrophy. The FI is significantly associated with the atrophy of the peri-insular subcortical region. Similar associations were found considering only demented patients. CONCLUSION: The FI is associated with the presence, degree, and some localization of cerebral atrophy in a population of cognitive-decline patients.
BACKGROUND: Frailty is a condition which is characterized by a reduction in the homeostatic reserves of the individual and which entails an increased vulnerability to stressful endogenous and exogenous agents. The Frailty Index (FI), proposed by Rockwood, was designed following an accumulation of deficits model: the greater the number of deficits in a given individual, the greater the degree of frailty. OBJECTIVE: The aim of this study was to verify the existence of associations between FI and cerebral atrophy. METHODS: The TREDEM Register (Treviso Dementia) provided retrospective observational data from 1,584 patients. The FI was calculated based on 50 variables comprising diseases, disability, behavioral disturbances, and blood chemistry parameters. The severity of atrophy in the cortical and subcortical regions, such as the amplitude of the lateral ventricles, were detected by computerized axial tomography (CAT). Multiple logistic regression models using the stepwise backward method were used to analyze possible associations between FI and atrophy. RESULTS: For each increment of one hundredth of the FI, the probability of cortical atrophy increases by 2%. The female gender is a protective factor for cortical and subcortical atrophy. At each increase of one percent of the FI, the probability of a severe degree of cortical atrophy increases by 3%. The FI was significantly associated with frontal and temporal cortical atrophy. The relationship between overall subcortical atrophy and the FI was not significant, whereas it was the one with the severe degree of subcortical atrophy. The FI is significantly associated with the atrophy of the peri-insular subcortical region. Similar associations were found considering only demented patients. CONCLUSION: The FI is associated with the presence, degree, and some localization of cerebral atrophy in a population of cognitive-declinepatients.
Authors: A Vallet; N Del Campo; E O Hoogendijk; A Lokossou; O Balédent; Z Czosnyka; L Balardy; P Payoux; P Swider; S Lorthois; E Schmidt Journal: J Neurol Date: 2020-01-29 Impact factor: 4.849
Authors: Nicholas R Evans; Oliver M Todd; Jatinder S Minhas; Patricia Fearon; George W Harston; Jonathan Mant; Gillian Mead; Jonathan Hewitt; Terence J Quinn; Elizabeth A Warburton Journal: Int J Stroke Date: 2021-08-04 Impact factor: 5.266