Burst Steroid Therapy for Acute Heart Failure: The CORTAHF Randomized, Open-Label, Pilot Trial
Bibliographic record
Abstract
AIMS: Burst steroid therapy, effective in acute respiratory diseases, may benefit patients with acute heart failure (AHF) in whom inflammatory activation is associated with adverse outcomes. METHODS AND RESULTS: CORTAHF assessed whether burst steroid therapy reduces inflammation and results in better quality of life and clinical outcomes in AHF. Patients with AHF, N-terminal pro-B-type natriuretic peptide >1500 pg/ml, and high-sensitivity C-reactive protein (hsCRP) >20 mg/L were randomized 1:1 to oral, once daily 40 mg prednisone for 7 days or usual care, without blinding. Patients were followed for 90 days. A total of 101 patients were randomized. At day 7 the primary endpoint, hsCRP decreased in both arms - adjusted geometric mean ratios (GMRs) were 0.30 and 0.40 in the prednisone and usual care arms (ratio of GMRs 0.75, 95% confidence interval [CI] 0.56-1.00, p = 0.0498). The 90-day risk of worsening heart failure (HF), HF readmission or death as reported by the unblinded investigators was significantly lower in the prednisone group (10.4%) than in usual care (30.8%) (hazard ratio 0.31, 95% CI 0.11-0.86, p = 0.016). The EQ-5D visual analogue scale score as reported by the unblinded patients increased more in the prednisone group on day 7 (least squares mean difference 2.57, 95% CI 0.12-5.01 points, p = 0.040). All effects were statistically significant in the pre-specified subgroup with centrally-measured interleukin-6 >13 pg/ml. Adverse events, particularly hyperglycaemia, occurred more in the prednisone group with no difference in infection rate. CONCLUSION: In this small open-label study of patients with AHF, burst steroid therapy was associated with reduced inflammation as measured by hsCRP levels at day 7 (primary endpoint). Secondary endpoints showed improved quality of life at day 7 and reduced 90-day risk of death or worsening HF. Large prospective studies are needed to evaluate these findings.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".