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Clinical Frailty Scale, Surprise Question and 1-year Mortality in Older Patients with Advanced CKD
Imre Demirhan1,2, Micha Jongejan2, Mathijs van Oevelen2
1Department of Nephrology and Hypertension, University Medical Center Utrecht, Utrecht, The Netherlands.
Frailty assessment using the Clinical Frailty Scale (CFS) and the Surprise Question (SQ) predicts mortality in advanced chronic kidney disease (CKD) patients. Combining CFS and SQ offers the most accurate risk prediction for one-year mortality.
Area of Science:
- Nephrology
- Geriatrics
- Public Health
Background:
- Frailty is prevalent in advanced chronic kidney disease (CKD).
- Frailty is linked to increased mortality in older adults with CKD.
- Current risk assessment tools for mortality in CKD require further investigation.
Purpose of the Study:
- To evaluate the association of the Clinical Frailty Scale (CFS) and the Surprise Question (SQ) with one-year mortality in older patients with advanced CKD.
- To determine if combining CFS and SQ improves mortality risk prediction.
- To inform treatment decisions and advance care planning in this population.
Main Methods:
- Prospective observational cohort study (DIALOGICA) including patients aged ≥65 with eGFR 10-20 mL/min/1.73m2.
- Frailty assessed using CFS (score ≥5 indicating high risk) and SQ (answer 'no' indicating high risk).
- Patients categorized into four risk subgroups; one-year mortality analyzed using Kaplan-Meier curves and adjusted Cox models.
Main Results:
- 589 patients included (mean age 77 years, 70% male, mean eGFR 15 mL/min/1.73m2).
- CFS score ≥5 (21%) and SQ 'no' (19%) were independently associated with higher one-year mortality.
- The highest mortality risk was observed in patients with both CFS ≥5 and SQ 'no' (adjusted HR 3.37).
Conclusions:
- Both CFS and SQ are significant predictors of one-year mortality in older adults with advanced CKD.
- Combining CFS and SQ provides a more robust assessment of mortality risk.
- These validated risk assessments can aid clinicians and patients in making informed decisions regarding treatment and care planning.
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