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Acute Heart Failure: Transitioning From Symptom-Based Care to Remission

2025· review· en· W4407394792 on OpenAlexaff
Gad Cotter, Beth A. Davison, Douglas L. Mann, Jan Biegus, Jozine M. ter Maaten, Matteo Pagnesi, Yonathan Freund, Adriaan A Voors, Piotr Ponikowski, Marco Metra, Alexandre Mebazaa

Bibliographic record

VenueJournal of Cardiac Failure · 2025
Typereview
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsSurgical Specialties (Canada)
Fundersnot available
KeywordsMedicineHeart failureComplete remissionInternal medicineIntensive care medicineCardiologyChemotherapy

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.411
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.013
GPT teacher head0.314
Teacher spread0.301 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations3
Published2025
Admission routes1
Has abstractyes

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