Comparison of Questionnaire and Performance‐Based Physical Frailty Scales to Predict Survival and Health‐Related Quality of Life in Patients With Heart Failure
Bibliographic record
Abstract
Background Frailty is prevalent in older adults with heart failure and is associated with poor outcomes; however, there remains uncertainty on how to measure frailty in clinical practice. Methods and Results A multicentric prospective cohort study was assembled at 4 heart failure clinics to compare the prognostic value of 3 physical frailty scales in ambulatory patients with heart failure. Outcomes were all-cause death or hospitalization and health-related quality of life using the 36-Item Short Form survey questionnaire (SF-36) at 3 months. Multivariable regression was adjusted for age, sex, Meta-Analysis Global Group in Chronic Heart Failure score, and baseline SF-36 score. The cohort included 215 patients (mean age 77.6 years). All 3 frailty scales were independently associated with death or hospitalization at 3 months; the adjusted odds ratios standardized per 1 SD worsening of the Short Physical Performance Battery; Fried, and strength, assistance with walking, rising from a chair, climbing stairs, and falls scales were 1.67 (95% CI, 1.09-2.55), 1.60 (95% CI, 1.04-2.46), and 1.55 (95% CI, 1.03-2.35), respectively, with C statistics of 0.77 to 0.78. All 3 frailty scales were independently associated with worsening SF-36 scores, especially the Short Physical Performance Battery, for which 1 SD worsening of frailty translated to a decrement of -5.86 (-8.55 to -3.17) and -5.51 (-7.82 to -3.21) points in the Physical Component Score and Mental Component Score. Conclusions All 3 physical frailty scales were associated with death, hospitalization, and reduced health-related quality of life in ambulatory patients with heart failure. Questionnaire or performance-based physical frailty scales can be used to offer prognostic value and a therapeutic target in this vulnerable population. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT03887351.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.020 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.010 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".