4.6 Article

PREDICTING EARLY MORTALITY AMONG ELDERLY PATIENTS HOSPITALISED IN MEDICAL WARDS VIA EMERGENCY DEPARTMENT: THE SAFES COHORT STUDY

Journal

JOURNAL OF NUTRITION HEALTH & AGING
Volume 12, Issue 8, Pages 599-604

Publisher

SPRINGER FRANCE
DOI: 10.1007/BF02983207

Keywords

Elderly people; early mortality; short-stay wards; risk score; prediction

Funding

  1. French Ministry of Health
  2. National Health Insurance Agency for Wage Earners - CNAMTS. France
  3. Institute of Longevity and Ageing - INSERM, France

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Objectives: The aim of the study was, by early identification of deleterious prognostic factors that are open to remediation, to be in a position to assign elderly patients to different mortality risk groups to improve management. Design: Prospective multicentre cohort. Setting: Nine French teaching hospitals. Participants: One thousand three hundred and six (1 306) patients aged 75 and over, hospitalised after having passed through Emergency Department (ED). Measurements: Patients were assessed using Comprehensive Geriatric Assessment (CGA) tools. A Cox survival analysis was performed to identify prognostic variables for six-week mortality. Receiver Operating Characteristics analysis was used to study the discriminant power of the model. A mortality risk score is proposed to define three risk groups for six-week mortality. Results: Crude mortality rate after a six-week follow-up was 10.6% (n=135). Prognostic factors identified were: malnutrition risk (HR=2.1; 95% CI: 1.1-3.8; p=.02), delirium (HR=1.7; 95% CI: 1.2-2.5; p=.006), and dependency: moderate dependency (HR=4.9; 95% CI: 1.5-16.5; p=.01) or severe dependency (HR=10.3; 95% CI: 3.2-33.1; p<.001). The discriminant power of the model was good: the c-statistic representing the area under the curve was 0.71 (95% IC: 0.67 - 0.75; p<.001). The six-week mortality rate increased significantly (p<.001) across the three risk groups: 1.1% (n=269; 95% CI=0.5-1.7) in the lowest risk group, 11.1% (n=854; 95% CI=9.4-12.9) in the intermediate risk group, and 22.4% (n=125; 95% CI=20.1-24.7) in the highest risk group. Conclusions: A simple score has been calculated (using only three variables from the CGA) and a practical schedule proposed to characterise patients according to the degree of mortality risk. Each of these three variables (malnutrition risk, delirium, and dependency) identified as independent prognostic factors can lead to a targeted therapeutic option to prevent early mortality.

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