External validation of the Hospital Frailty Risk Score in France

Thomas Gilbert, Quentin Cordier, Stéphanie Polazzi, Marc Bonnefoy, Eilìs Keeble, Andrew Street, Simon Conroy, Antoine Duclos, Thomas Gilbert, Quentin Cordier, Stéphanie Polazzi, Marc Bonnefoy, Eilìs Keeble, Andrew Street, Simon Conroy, Antoine Duclos

Abstract

Background: The Hospital Frailty Risk Score (HFRS) has made it possible internationally to identify subgroups of patients with characteristics of frailty from routinely collected hospital data.

Objective: To externally validate the HFRS in France.

Design: A retrospective analysis of the French medical information database.

Setting: 743 hospitals in Metropolitan France.

Subjects: All patients aged 75 years or older hospitalised as an emergency in 2017 (n = 1,042,234).

Methods: The HFRS was calculated for each patient based on the index stay and hospitalisations over the preceding 2 years. Main outcome measures were 30-day in-patient mortality, length of stay (LOS) >10 days and 30-day readmissions. Mixed logistic regression models were used to investigate the association between outcomes and HFRS score.

Results: Patients with high HFRS risk were associated with increased risk of mortality and prolonged LOS (adjusted odds ratio [aOR] = 1.38 [1.35-1.42] and 3.27 [3.22-3.32], c-statistics = 0.676 and 0.684, respectively), while it appeared less predictive of readmissions (aOR = 1.00 [0.98-1.02], c-statistic = 0.600). Model calibration was excellent. Restricting the score to data prior to index admission reduced discrimination of HFRS substantially.

Conclusions: HFRS can be used in France to determine risks of 30-day in-patient mortality and prolonged LOS, but not 30-day readmissions. Trial registration: Reference ID on clinicaltrials.gov: ID: NCT03905629.

Keywords: frailty; hospitalisation; length of stay; mortality; older people; risk assessment; statistics and numerical data.

© The Author(s) 2021. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Figures

Figure 1
Figure 1
Flowchart.
Figure 2
Figure 2
Calibration assessment for mixed logistic regression models. Crude (A, C, E) and adjusted models (B, D, F) for 30 day in-patient mortality, prolonged LOS > 10 days and 30-day readmissions, respectively.

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Source: PubMed

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