Corticosteroid Burst Therapy in Patients with Acute Heart Failure: Design of the CORTAHF Pilot Study
Bibliographic record
Abstract
AIMS: Inflammation has emerged as a potential key pathophysiological mechanism in heart failure (HF) in general and acute HF (AHF) specifically, with inflammatory biomarkers shown to be highly predictive of adverse outcomes in these patients. The CORTAHF study builds on both these data and the fact that steroid burst therapy has been shown to be effective in the treatment of respiratory diseases and COVID-19. Our hypothesis is that in patients with AHF and elevated C-reactive protein (CRP) levels without symptoms or signs of infection, a 7-day course of steroid therapy will lead to reduced inflammation and short-term improvement in quality of life and a reduced risk of worsening HF (WHF) events. METHODS AND RESULTS: The study, which is currently ongoing, will include 100 patients with AHF ages 18-85, regardless of ejection fraction, screened within 12 h of presentation. Patients will be included who have NT-proBNP > 1500 pg/mL and CRP > 20 mg/L at screening. Exclusion criteria include haemodynamic instability and symptoms and signs of infection. After signed consent, eligible patients will be randomized according to a central randomization scheme stratified by centre 1:1 to either treatment once daily for 7 days with 40 mg prednisone orally or to standard care. Patients will be assessed at study day 2, day 4 or at discharge if earlier, and at days 7 and 31 at the hospital; and at day 91 through a telephone follow-up. The primary endpoint is the change in CRP level from baseline to day 7, estimated from a mixed model for repeated measures (MMRM) including all measured timepoints, in patients without a major protocol violation. Secondary endpoints include the time to the first event of WHF adverse event, readmission for HF, or death through day 91; and changes to day 7 in EQ-5D visual analogue scale score and utility index. Additional clinical and laboratory measures will be assessed. CONCLUSIONS: The results of the study will add to the knowledge of the role of inflammation in AHF and potentially inform the design of larger studies with possibly longer duration of anti-inflammatory therapies in AHF.
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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 | 0.001 |
| 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".