Burst Steroid Therapy and Quality of Life in Patients with Acute Heart Failure: Insights from the CORTAHF Trial
Bibliographic record
Abstract
AIMS: Patients hospitalized with acute heart failure (AHF) treated with a 7 day prednisone course in the CORTAHF pilot trial had a greater improvement in health-related quality of life (QoL) at Day 7 in both the overall population and in patients with baseline interleukin 6 > 13 pg/mL. This post-hoc analysis examines the specific QoL domains and the relationship between clinical signs of congestion and QoL. METHODS: In the CORTAHF pilot trial, patients with AHF and high-sensitivity C-reactive protein (hsCRP) > 20 mg/L were randomized 1:1 to once-daily oral 40 mg prednisone for 7 days plus usual care or usual care alone. Patients completed the EQ-5D-5L, including the EQ-VAS, at baseline and Days 7 and 31. We estimated baseline-adjusted treatment effects on each of the five QoL dimensions and evaluated the interaction between baseline EQ-VAS and treatment effect on hsCRP change at Day 7 (the primary endpoint). The correlation between changes in signs of congestion and EQ-VAS were evaluated. RESULTS: Among 100 randomized patients, the improvement in QoL at Day 7 was driven by significant effects on the EQ-5D-5L mobility [win odds 1.48, 95% confidence interval (CI) 1.05-2.12] and usual activities (win odds 1.50, 95% CI 1.05-2.20) domains. The treatment effect on 7 day hsCRP change was independent of baseline EQ-VAS (interaction P = 0.13). Decongestion and EQ-VAS improvement were correlated (r = -0.528, P < 0.0001). CONCLUSIONS: In patients with AHF and high hsCRP levels, 7 day burst steroid therapy improved QoL mostly by affecting the mobility and usual activities domains. QoL improvement was correlated with decongestion and may therefore not be a direct effect of steroid therapy, but mediated through improvement in HF symptoms and signs. Inflammatory activation was reduced by prednisone irrespective of baseline EQ-VAS.
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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 | 0.000 | 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".