Literature DB >> 21528168

Predictors of institution admission in the year following acute hospitalisation of elderly people.

M Dramé1, F Fierobe, P-O Lang, D Jolly, F Boyer, R Mahmoudi, D Somme, I Laniece, D Heitz, J-B Gauvain, T Voisin, B De Wazieres, R Gonthier, J Ankri, O Saint-Jean, P Couturier, C Jeandel, F Blanchard, J-L Novella.   

Abstract

OBJECTIVES: The aim of the study was to identify factors related to institutionalisation within one-year follow up of subjects aged 75 or over, hospitalised via the emergency department (ED).
DESIGN: Prospective multicentre cohort.
SETTING: Nine French university teaching hospitals. PARTICIPANTS: One thousand and forty seven (1 047) non institutionalised subjects aged 75 or over, hospitalised via ED. A sub-group analysis was performed on the 894 subjects with a caregiver. MEASUREMENTS: Patients were assessed using Comprehensive Geriatric Assessment (CGA) tools. Cox survival analysis was performed to identify predictors of institutionalisation at one year.
RESULTS: Within one year after hospital admission, 210 (20.1%) subjects were institutionalised. For the overall study population, age >85 years (HR 1.6; 95%CI 1.1-2.1; p=0.005), inability to use the toilet (HR 1.6; 95%CI 1.1-2.4; p=0.007), balance disorders (HR 1.6; 95%CI 1.1-2.1; p=0.005) and presence of dementia syndrome (HR 1.9; 95%CI 1.4-2.6; p<0.001) proved to be independent predictors of institutionalisation; while a greater number of children was inversely linked to institutionalisation (HR 0.8; 95%CI 0.7-0.9; p<0.001). Bathing was of borderline significance (p=.09). For subjects with a caregiver, initial caregiver burden was significantly linked to institutionalisation within one year, in addition to the predictors observed in the overall study population.
CONCLUSIONS: CGA performed at the beginning of hospitalisation in acute medical wards is useful to predict institutionalisation. Most of the predictors identified can lead to targeted therapeutic options with a view to preventing or delaying institution admission.

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Year:  2011        PMID: 21528168     DOI: 10.1007/s12603-011-0004-x

Source DB:  PubMed          Journal:  J Nutr Health Aging        ISSN: 1279-7707            Impact factor:   4.075


  34 in total

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