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February 26, 2026Age and Ageing1 citations

Comparative prognostic value of three frailty-assessment tools in older patients with heart failure: post hoc analysis of the FRAGILE-HF cohort

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TNTaisuke NakadeDMD MaedaYMYuya Matsue

Key Result

The Fried frailty model independently predicted 2-year all-cause mortality (HR 1.35) and provided the highest incremental prognostic value in older heart failure patients.

Key Points

  • This research aims to compare three frailty assessment tools in predicting all-cause mortality in older heart failure patients.
  • Post hoc analysis of the FRAGILE-HF study cohort
  • Frailty assessed at discharge using FSI, FRAIL scale, and Fried phenotype
  • Evaluated 2-year all-cause mortality using Cox regression analysis, adjusted for relevant risk scores
  • Frailty identified in 48.5% (FSI), 44.5% (FRAIL), and 55.8% (Fried) among 961 patients
  • 19.5% of patients died during the 2-year follow-up
  • FRAIL and Fried models showed significantly lower survival, while FSI did not
  • Fried model provided the highest incremental prognostic value for mortality over 2 years

Structured PICO

Does the choice of frailty assessment tool (FSI, FRAIL scale, or Fried phenotype) affect prognostic stratification for 2-year all-cause mortality in older hospitalized heart failure patients?

P
Population
961 hospitalized older patients (age ≥ 65 years) with heart failure, median age 80, 41.5% women.
I
Intervention
Frailty assessment at discharge using three tools: Frailty Screening Index (FSI), FRAIL scale, and Fried phenotype models.
C
Comparator
Comparison among the three frailty assessment tools (FSI, FRAIL scale, and Fried phenotype) and against non-frail status.
O
Outcome
2-year all-cause mortalityhard clinical

The Fried phenotype and FRAIL scale provide significant prognostic value for 2-year all-cause mortality in older heart failure patients, whereas the Frailty Screening Index does not.

Abstract

Abstract Background In older patients with heart failure, frailty assessment tools potentially have different prognostic value for all-cause mortality. Objective To compare the Frailty Screening Index (FSI), FRAIL scale and Fried phenotype. Design Post hoc analysis of the FRAGILE-HF study. Subjects Hospitalised patients (age ≥ 65 years) with heart failure. Methods We assessed frailty status at discharge, considered preadmission conditions of patients, using the FSI, FRAIL scale and Fried phenotype models and evaluated the primary outcome (2-year all-cause mortality), prognostic performance using Cox regression analysis (adjusted for the Meta-analysis Global Group in Chronic Heart Failure risk score and log-transformed B-type natriuretic peptide) and discriminative and reclassification abilities (area under the receiver-operating characteristic curve and continuous net reclassification improvement, respectively). Results Among 961 patients median age: 80 (IQR, 74–85) years; 41.5% women, frailty was identified in 48.5%, 44.5% and 55.8% by the FSI, FRAIL scale and Fried models, respectively. During the 2-year follow-up, 187 (19.5%) patients died. On Kaplan–Meier analysis, frailty defined by the FRAIL and Fried was associated with significantly lower survival; FSI showed no significant difference. Adjusted Cox models showed that frailty was independently associated HR (95% CI) with mortality in FRAIL 1.31 (1.01–1.71) and Fried 1.35 (1.04–1.75) but not FSI 1.11 (0.84–1.37). The Fried model, incorporated into the baseline model, yielded the highest incremental prognostic value for 2-year all-cause mortality. Conclusions Frailty assessment using different tools yields varying results, with notable differences in their prognostic value for 2-year all-cause mortality. The frailty assessment tool influences both frailty classification and risk stratification and warrants careful clinical selection.

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Cite This Study

Nakade et al. (2026) studied this question. The Fried frailty model independently predicted 2-year all-cause mortality (HR 1.35) and provided the highest incremental prognostic value in older heart failure patients.

synapsesocial.com/papers/699fe32295ddcd3a253e6c36https://doi.org/10.1093/ageing/afag031
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