In the present study, we explored the relationship between multimorbidity and frailty in a population of older individuals with cognitive disturbances attending a memory clinic. All subjects consecutively attending the Memory Clinic of the Department of Human Neuroscience, “Sapienza” University of Rome, between January 2017 and April 2018 for a first neurological evaluation were considered for the present analysis. Multimorbidity was defined as the simultaneous presence of two or more diseases in the same individual. A Frailty Index was computed by considering 44 age-related, multidimensional health deficits. Overall, 185 subjects were recruited in the study. A condition of multimorbidity was detected in 87.6% of the sample, whereas only the 44.6% of the study population was considered as frail. A poor agreement was observed between multimorbidity and frailty. The present findings confirm that counting diseases or health deficits may provide discordant information concerning the risk profile of older subjects.
Counting deficits or diseases? The agreement between frailty and multimorbidity in subjects with cognitive disturbances / M. Canevelli, R. Raganato, F. Remiddi, F. Quarata, M. Valletta, G. Bruno, M. Cesari. - In: AGING CLINICAL AND EXPERIMENTAL RESEARCH. - ISSN 1594-0667. - 32:1(2020 Jan 01), pp. 179-182. [10.1007/s40520-019-01161-2]
Counting deficits or diseases? The agreement between frailty and multimorbidity in subjects with cognitive disturbances
M. CesariUltimo
2020
Abstract
In the present study, we explored the relationship between multimorbidity and frailty in a population of older individuals with cognitive disturbances attending a memory clinic. All subjects consecutively attending the Memory Clinic of the Department of Human Neuroscience, “Sapienza” University of Rome, between January 2017 and April 2018 for a first neurological evaluation were considered for the present analysis. Multimorbidity was defined as the simultaneous presence of two or more diseases in the same individual. A Frailty Index was computed by considering 44 age-related, multidimensional health deficits. Overall, 185 subjects were recruited in the study. A condition of multimorbidity was detected in 87.6% of the sample, whereas only the 44.6% of the study population was considered as frail. A poor agreement was observed between multimorbidity and frailty. The present findings confirm that counting diseases or health deficits may provide discordant information concerning the risk profile of older subjects.File | Dimensione | Formato | |
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