Malnutrition: A highly predictive risk factor of short-term mortality in elderly presenting to the emergency department

Abstract

Objectives

To identify independent risk factors of mortality among elderly patients in the 3 months after their visit (T3) to an emergency department (ED).

Design

Prospective cohort study.

Setting

University hospital ED in an urban setting in France.

Participants

One hundred seventy-three patients aged 75 and older were admitted to the ED over two weeks (18.7% of the 924 ED visits). Of these, 164 patients (94.8%) were included in our study, and 157 (95.7%) of them were followed three months after their ED visit.

Measurements

During the inclusion period (T0), a standardized questionnaire was used to collect data on socio-demographic and environmental characteristics, ED visit circumstances, medical conditions and geriatric assessment including functional and nutritional status. Three months after the ED visits (T3), patients or their caregivers were interviewed to collect data on vital status, and ED return or hospitalization.

Results

Among the 157 patients followed at T3, 14.6% had died, 19.9% had repeated ED visits, and 63.1% had been hospitalized. The two independent predictive factors for mortality within the 3 months after ED visit were: malnutrition screened by the Mini Nutritional Assessment short-form (MNA-SF) (OR=20.2; 95% CI: 5.74–71.35; p<.001) and the Cumulative Illness Rating Scale for Geriatrics (CIRS-G) score (OR=1.1; 95% CI: 1.01–1.22; p=.024).

Conclusion

Malnutrition is the strongest independent risk factor predicting short-term mortality in elderly patients visiting the ED, and it was easily detected by MNA-SF and supported from the ED visit.

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Gentile, S., Lacroix, O., Durand, A.C. et al. Malnutrition: A highly predictive risk factor of short-term mortality in elderly presenting to the emergency department. J Nutr Health Aging 17, 290–294 (2013). https://doi.org/10.1007/s12603-012-0398-0

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Keywords

  • Emergency Department
  • Geriatric Assessment
  • Nutr Health Aging
  • Predictive Risk Factor
  • Emergency Department Staff