The Clinical Course of Health Status and Association with Outcomes in Patients Hospitalized for Heart Failure: Insights from ASCEND-HF
Bibliographic record
Abstract
AIMS: A longitudinal and comprehensive analysis of health-related quality of life (HRQOL) was performed during hospitalization for heart failure (HF) or soon after discharge. METHODS AND RESULTS: A post-hoc analysis was performed of the ASCEND-HF trial. The EuroQOL five dimensions questionnaire (EQ-5D) was administered to study participants at baseline, 24 h, discharge/day 10, and day 30. EQ-5D includes functional dimensions mapped to corresponding utility scores (i.e. 0 = death and 1 = perfect health), and a visual analogue scale (VAS) ranging from 0 (i.e. 'worst imaginable health state') to 100 (i.e. 'best imaginable health state'). The association between baseline and discharge EQ-5D measurements and subsequent clinical outcomes including death and rehospitalization were assessed using multivariable logistic regression and Cox proportional hazards regression. A total of 6943 patients (97%) had complete EQ-5D data at baseline. Mapped utility and VAS scores (mean ± SD) increased over time, respectively, from 0.56 ± 0.23 and 45 ± 22 at baseline to 0.67 ± 0.26 and 58 ± 22 at 24 h and to 0.79 ± 0.20 and 68 ± 22 at discharge, and remained stable at day 30. Lower mapped utility scores at baseline [odds ratio (OR) per 0.1 decrease in utility score 1.03, 95% confidence interval (CI) 1.00-1.06] and discharge (OR 1.10, 95% CI 1.05-1.15) and VAS scores at baseline (OR per 10 point decrease 1.05, 95% CI 1.01-1.09) were significantly associated with increased risk of 30-day all-cause death or HF rehospitalization. CONCLUSIONS: Patients hospitalized for HF had severely impaired health status at baseline and, although this improved substantially during admission, health status remained abnormal at discharge.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".