Literature DB >> 21143564

Prognostic value of depressive symptoms on mortality, morbidity and nursing home admission in older people.

Doris K Y Miu1, Carol K M Chan.   

Abstract

AIM: Depression is frequently encountered in hospitalized elderly persons. Studies have found an independent association between depressive symptoms, mortality and functional decline. Only a few studies look specifically at other potential effects of depressive symptoms, such as subsequent hospital readmission or nursing home admission. In this study, we aim to investigate the association between the presence of depressive symptoms and nursing home placement, hospital admission and mortality in a group of geriatric outpatients receiving rehabilitation.
METHODS: All community dwelling elderly patients with no history of depression or cognitive impairment who were new attendances of a geriatric day hospital of a regional hospital in Hong Kong were recruited. Baseline demographic data, medical comorbidities, functional status and presence of depressive symptoms defined as a Geriatric Depression Scale score of more than 8 were recorded. Outcome variables were mortality, nursing home admission and unplanned hospital admission rate at 1 year.
RESULTS: Two hundred and nine subjects were included with a mean age of 77.4 years (standard deviation, 7.6). There was no statistically significant difference on mortality at 1 year and nursing home admission. However, depressed subjects were found to have increased risk of hospital admission (odds ratio = 2.67, 95% confidence interval = 1.31, 5.32) and have more episodes of unplanned hospital admission (odds ratio = 1.52, 95% confidence interval = 1.1, 2.12).
CONCLUSION: Elderly patients with depressive symptoms are associated with increased risk of hospital admission and greater inpatient service utilization, independent of their functional status. These results emphasize the need to improve the management of depressive symptoms and heighten the recognition and treatment of depression in the elderly population.
© 2010 Japan Geriatrics Society.

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Year:  2010        PMID: 21143564     DOI: 10.1111/j.1447-0594.2010.00665.x

Source DB:  PubMed          Journal:  Geriatr Gerontol Int        ISSN: 1447-0594            Impact factor:   2.730


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