Acute Heart Failure: Transitioning From Symptom-Based Care to Remission
Bibliographic record
Abstract
During the past century, the characteristics of patients with heart failure (HF) and acute HF (AHF) have shifted from patients with severe pump failure due to rheumatic, hypertensive and ischemic heart disease to older and more obese patients with multiple severe comorbidities. The pathophysiology of AHF has shifted, in parallel, from that of advanced, end-stage pump failure caused by severe left ventricular dysfunction to age, obesity and comorbidity-related cardiovascular dysfunction combined with neurohormonal and inflammatory dysregulation or "inflammaging." With the advent of neurohormonal blockers leading to improved outcomes of patients with chronic HF, the focus of AHF therapy has also changed from care directed at early symptom improvement to therapies directed toward longer-term improvements in quality of life and outcomes. Studies conducted in the past 5 years suggest that the beneficial effects seen with the 4 pillars of guideline-directed medical therapy for HF, mostly comprising neurohormonal blockade, can be extended to AHF when these therapies are initiated and rapidly uptitrated during admission and after discharge. A recent pilot study, CORTAHF (Effect of Short-Term Prednisone Therapy on CRP Change in Emergency Department Patients With Acute Heart Failure and Elevated Inflammatory Markers), has suggested that these benefits can be extended by treating patients with AHF and markers of inflammatory activation with anti-inflammatory therapies. Future studies should further examine whether combined anti-inflammatory therapy and neurohormonal blockade can lead to the reversal of disrupted underlying pathophysiology and remission in patients with AHF.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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".