Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2023 Feb 1;6(2):e2253692.
doi: 10.1001/jamanetworkopen.2022.53692.

Comparing the Hospital Frailty Risk Score and the Clinical Frailty Scale Among Older Adults With Chronic Obstructive Pulmonary Disease Exacerbation

Affiliations

Comparing the Hospital Frailty Risk Score and the Clinical Frailty Scale Among Older Adults With Chronic Obstructive Pulmonary Disease Exacerbation

Melanie Chin et al. JAMA Netw Open. .

Abstract

Importance: Frailty is associated with severe morbidity and mortality among people with chronic obstructive pulmonary disease (COPD). Interventions such as pulmonary rehabilitation can treat and reverse frailty, yet frailty is not routinely measured in pulmonary clinical practice. It is unclear how population-based administrative data tools to screen for frailty compare with standard bedside assessments in this population.

Objective: To determine the agreement between the Hospital Frailty Risk Score (HFRS) and the Clinical Frailty Scale (CFS) among hospitalized individuals with COPD and to determine the sensitivity and specificity of the HFRS (vs CFS) to detect frailty.

Design, setting, and participants: A cross-sectional study was conducted among hospitalized patients with COPD exacerbation. The study was conducted in the respiratory ward of a single tertiary care academic hospital (The Ottawa Hospital, Ottawa, Ontario, Canada). Participants included consenting adult inpatients who were admitted with a diagnosis of acute COPD exacerbation from December 2016 to June 2019 and who used a clinical care pathway for COPD. There were no specific exclusion criteria. Data analysis was performed in March 2022.

Exposure: Degree of frailty measured by the CFS.

Main outcomes and measures: The HFRS was calculated using hospital administrative data. Primary outcomes were the sensitivity and specificity of the HFRS to detect frail and nonfrail individuals according to CFS assessments of frailty, and the secondary outcome was the optimal probability threshold of the HFRS to discriminate frail and nonfrail individuals.

Results: Among 99 patients with COPD exacerbation (mean [SD] age, 70.6 [9.5] years; 56 women [57%]), 14 (14%) were not frail, 33 (33%) were vulnerable, 18 (18%) were mildly frail, and 34 (34%) were moderately to severely frail by the CFS. The HFRS (vs CFS) had a sensitivity of 27% and specificity of 93% to detect frail vs nonfrail individuals. The optimal probability threshold for the HFRS was 1.4 points or higher. The corresponding sensitivity to detect frailty was 69%, and the specificity was 57%.

Conclusions and relevance: In this cross-sectional study, using the population-based HFRS to screen for frailty yielded poor detection of frailty among hospitalized patients with COPD compared with the bedside CFS. These findings suggest that use of the HFRS in this population may result in important missed opportunities to identify and provide early intervention for frailty, such as pulmonary rehabilitation.

PubMed Disclaimer

Conflict of interest statement

Conflict of Interest Disclosures: Dr Kendzerska reported receiving a speaker’s honorarium from AstraZeneca Canada, Inc, and grants from the 2020 PSI Graham Farquharson Knowledge Translation Fellowship Award outside the submitted work. Dr Andrew reported receiving grants from Sanofi, GlaxoSmithKline, Pfizer, Public Health Agency of Canada, Canadian Frailty Network, and COVID-19 Immunity Task Force and receiving personal fees from Sanofi, Seqirus, and Pfizer outside the submitted work. No other disclosures were reported.

Figures

Figure 1.
Figure 1.. Study Flow Diagram Describing Proportion of Hospitalized Patients With Chronic Obstructive Pulmonary Disease (COPD) Included in the Cross-sectional Analysis
aWe captured unique hospital admissions during the study time period. Readmissions from the same patient were not captured. bThe mean (SD) age of this group was 71.8 (9.9) years; 57 patients (53.8%) were women, 49 patients (46.2%) were men, and the median (IQR) Elixhauser Comorbidity Index score was 3 (3-8).
Figure 2.
Figure 2.. Receiver Operating Curve (ROC) Analysis With Optimal Probability Threshold for Hospital Frailty Risk Score (HFRS)

Similar articles

Cited by

References

    1. Clegg A, Young J, Iliffe S, Rikkert MO, Rockwood K. Frailty in elderly people. Lancet. 2013;381(9868):752-762. doi:10.1016/S0140-6736(12)62167-9 - DOI - PMC - PubMed
    1. Rockwood K, Song X, MacKnight C, et al. . A global clinical measure of fitness and frailty in elderly people. CMAJ. 2005;173(5):489-495. doi:10.1503/cmaj.050051 - DOI - PMC - PubMed
    1. Bock J-O, König H-H, Brenner H, et al. . Associations of frailty with health care costs: results of the ESTHER cohort study. BMC Health Serv Res. 2016;16:128. doi:10.1186/s12913-016-1360-3 - DOI - PMC - PubMed
    1. Mondor L, Maxwell CJ, Hogan DB, et al. . The incremental health care costs of frailty among home care recipients with and without dementia in Ontario, Canada: a cohort study. Med Care. 2019;57(7):512-520. doi:10.1097/MLR.0000000000001139 - DOI - PubMed
    1. Shaw JF, Mulpuru S, Kendzerska T, et al. . Association between frailty and patient outcomes after cancer surgery: a population-based cohort study. Br J Anaesth. 2022;128(3):457-464. doi:10.1016/j.bja.2021.11.035 - DOI - PubMed

Publication types