The aging population is increasing worldwide and is predicted to reach an estimated 2 billion people aged ≥65 years by 2050. ConclusionsĪll three frailty scales showed a predictive ability for 28-day mortality and readmission but FS may be the most valid tool in the emergency department. The three tools had a low predictive ability for readmission (all C-statistics <0.7).
For all-cause 28-day mortality, the model including FS had the highest C-statistic from 0.786 (95% confidence interval: 0.706–0.865) to 0.854 (95% confidence interval: 0.802–0.907) and the improvements in risk prediction were also confirmed by category-free net reclassification improvement and integrated discrimination improvement, suggesting FS was significantly better than CFS and FSQ. Incorporation of FS, FSQ and CFS into a basic model with other risk factors significantly improved C-statistic. Cox regression and logistic regression analysis revealed that frailty screening by FS, FSQ and CFS was an independent risk factor for all-cause 28-day mortality and 30- and 90-day readmission after adjustment. In addition, we calculated the C-statistic, net reclassification improvement and integrated discrimination improvement to evaluate the predictive value of three scales. Logistic regression was used to analyze risk factors for readmissions. Cox proportional hazards model was used for survival comparison. Outcome measures included all-cause 28-day mortality and intensive care unit readmission.
In total, 317 older adults aged ≥65 years attending emergency department was screened for frailty using the FS, FSQ and CFS.
To compare the predictive abilities of the FRAIL scale (FS), frailty screening questionnaire (FSQ) and clinical frailty scale (CFS) for adverse outcomes in older adults in the emergency department.
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