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Research Article| Volume 122, P1-7, April 2019

Prediction of unplanned hospital admissions in older community dwellers using the 6-item Brief Geriatric Assessment: Results from REPERAGE, an observational prospective population-based cohort study

  • Olivier Beauchet
    Correspondence
    Corresponding author at: Department of Medicine, Division of Geriatric Medicine, Jewish General Hospital, 3755 chemin de la Côte-Sainte-Catherine, Montréal, QC H3T 1E2, Canada.
    Affiliations
    Department of Medicine, Division of Geriatric Medicine, Sir Mortimer B. Davis - Jewish General Hospital and Lady Davis Institute for Medical Research, McGill University, Montreal, Quebec, Canada

    Dr. Joseph Kaufmann Chair in Geriatric Medicine, Faculty of Medicine, McGill University, Montreal, Quebec, Canada

    Centre of Excellence on Aging and Chronic Diseases of McGill integrated University Health Network, Quebec, Canada

    Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
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  • Cyrille P. Launay
    Affiliations
    Geriatric Medicine and Geriatric Rehabilitation Division, Department of Medicine, Lausanne University Hospital, Switzerland
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  • Julia Chabot
    Affiliations
    Department of Medicine, Division of Geriatric Medicine, Sir Mortimer B. Davis - Jewish General Hospital and Lady Davis Institute for Medical Research, McGill University, Montreal, Quebec, Canada

    Department of Medicine, Division of Geriatric Medicine, St. Mary’s Hospital Center, McGill University, Montreal, Quebec, Canada
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  • Sylvie Dejager
    Affiliations
    MSD, Medical Department, Courbevoie, France
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  • Sebastien Bineau
    Affiliations
    MSD, Medical Department, Courbevoie, France
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  • Kevin Galery
    Affiliations
    Gerontopole des pays de la Loire, Nantes, France
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  • Gilles Berrut
    Affiliations
    Gerontopole des pays de la Loire, Nantes, France

    Department of Geriatrics, Nantes University Hospital, University of Nantes, Nantes, France
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      Highlights

      • Unplanned hospital admissions are associated with several health adverse consequences.
      • The 6-item brief geriatric assessment (BGA) provides a priori risk stratification of hospital health adverse events.
      • The 6-item BGA has not yet been used in primary care to identify older community-dwelling patients at risk for unplanned hospital admission.
      • The a priori 6-item BGA risk stratification was significantly associated with incident unplanned hospital admissions.

      Abstract

      Background: The 6-item Brief Geriatric Assessment (BGA) provides a priori risk stratification of incident hospital health adverse events, but it has not been used yet to assess the risk of unplanned hospital admission for older patients in primary care. This study aims to examine the association between the a priori risk stratification levels of the 6-item BGA performed by general practitioners (GPs) and incident unplanned hospital admissions in older community patients.
      Methods: Based on an observational prospective cohort design, 668 participants (mean age 84.7 ± 3.9 years; 64.7% female) were recruited by their GPs during an index primary care visit. The 6-item BGA was completed at baseline and provided an a priori risk stratification in three levels (low, moderate, high). Incident unplanned hospital admissions were recorded during a 6-month follow-up.
      Results: The incidence of unplanned hospital admissions increased with the risk level of the 6-item BGA stratification, the highest prevalence (35.3%) being reported with the high-risk level (P = 0.001). The risk of unplanned hospital admission at the high-risk level was significant (crude odds ratio (OR) = 5.48, P = 0.001 and fully adjusted OR = 3.71, P = 0.032, crude hazard ratio (HR) = 4.20; P = 0.002 and fully adjusted HR = 2.81; P = 0.035). The Kaplan-Meier’s distributions of incident unplanned hospital admissions differed significantly between the three risk levels (P-value = 0.002). Participants with a high-risk level were more frequently admitted to hospital than those at a low-risk level (P = 0.001). Criteria performances of all risk levels were poor, except the specificity of the high-risk level, which was 98.2%.
      Conclusions: The a priori 6-item BGA risk stratification was significantly associated with incident unplanned hospital admissions in primary care older patients. However, except for the specificity of the high-risk level, its criteria performances were poor, suggesting that this tool is unsuitable for screening older patients in primary care settings at risk of unplanned hospital admission.

      Keywords

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