Key result
In critically ill patients, both the Clinical Frailty Scale (HR 1.26 per 1-unit increment) and Hospital Frailty Risk Score (HR 1.08 per 5-unit increment) independently predicted 1-year survival, but CFS had better discrimination (AUROC 0.66 vs 0.63, p<0.0001).
Why the study?
The Clinical Frailty Scale is commonly used in ICU patients, but the newly proposed Hospital Frailty Risk Score had not been compared with it for predicting long-term survival.
Does the Clinical Frailty Scale (CFS) or Hospital Frailty Risk Score (HFRS) better predict 1-year survival in critically ill ICU patients?
Cohort (n=7,001)
Yes
Does the Clinical Frailty Scale (CFS) or Hospital Frailty Risk Score (HFRS) better predict 1-year survival in critically ill ICU patients?
Hazard Ratio: 1.26 (95% CI 1.21–1.31)
p-value: p=<0.0001
The Clinical Frailty Scale is a better predictor of 1-year survival than the Hospital Frailty Risk Score in critically ill ICU patients.
CFS may offer modestly better 1-year survival prediction than HFRS in ICU patients; hypothesis-generating and should not yet change practice.
Background: The Clinical Frailty Scale (CFS) is the most commonly used frailty measure in intensive care unit (ICU) patients. The hospital frailty risk score (HFRS) was recently proposed for the quantification of frailty. We aimed to compare the HFRS with the CFS in critically ill patients in predicting long-term survival up to one year following ICU admission. Methods: In this retrospective multicentre cohort study from 16 public ICUs in the state of Victoria, Australia between 1 st January 2017 and 31 st June 2018, ICU admission episodes listed in the Australian and New Zealand Intensive Care Society Adult Patient Database registry with a documented CFS, which had been linked with the Victorian Admitted Episode Dataset and the Victorian Death Index were examined. The HFRS was calculated for each patient using the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) codes that represented pre-existing conditions at the time of index hospital admission. Descriptive methods, Cox proportional hazards and area under the receiver operating characteristic (AUROC) were used to investigate the association between each frailty score and long-term survival up to 1 year, after adjusting for confounders including sex and baseline severity of illness on admission to ICU (Australia New Zealand risk-of-death, ANZROD). Results: 7,001 ICU patients with both frailty measures were analysed. The overall median (IQR) age was 63.7 (49.1-74.0) years; 59.5% (n=4,166) were male; the median (IQR) APACHE II score 14 (10-20). Almost half (46.7%, n=3,266) were mechanically ventilated. The hospital mortality was 9.5% (n=642) and 1-year mortality was 14.4% (n=1,005). HFRS correlated weakly with CFS (Spearman’s rho 0.13 (95%CI: 0.10-0.15) and had a poor agreement (kappa=0.12, 95%CI: 0.10-0.15). Both frailty measures predicted 1-year survival after adjusting for confounders, CFS (HR=1.26, 95%CI: 1.21-1.31) and HFRS (HR=1.08, 95%CI: 1.02-1.15). The CFS had better discrimination of 1-year mortality than HFRS (AUROC 0.66 vs 0.63 p<0.0001). Conclusion: Both HFRS and CFS independently predicted up to 1-year survival following an ICU admission with moderate discrimination. The CFS was a better predictor of 1-year survival than the HFRS. Trial Registration: Not applicable
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Subramaniam et al. (2022) conducted a cohort in Critically ill patients (ICU admission) (n=7,001). Clinical Frailty Scale (CFS) vs. Hospital Frailty Risk Score (HFRS) was evaluated on 1-year survival (HR 1.26, 95% CI 1.21-1.31, p=<0.0001). In critically ill patients, both the Clinical Frailty Scale (HR 1.26 per 1-unit increment) and Hospital Frailty Risk Score (HR 1.08 per 5-unit increment) independently predicted 1-year survival, but CFS had better discrimination (AUROC 0.66 vs 0.63, p<0.0001).
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