Management of Acute Decompensated Valvular Heart Disease
Bibliographic record
Abstract
Worldwide, valvular heart disease (VHD) is a common cause of hospitalization for acute heart failure. In acute heart failure caused by VHD, symptoms result from rapid haemodynamic changes and subsequent decline in cardiac function, and if left untreated, leads to acute decompensation and cardiogenic shock. Current evidence remains scarce and recommendations regarding the management of acute heart failure caused by VHD are lacking in most recent international guidelines. Herein, we review the management of acute heart failure caused by VHD with a focus on transcatheter therapies and describe currently available evidence based on a systematic literature search on the following valve pathologies: (i) aortic stenosis, (ii) aortic regurgitation, (iii) mitral regurgitation, and (iv) mitral stenosis. Articles reporting outcomes following urgent or emergent valve intervention in the setting of cardiogenic shock or acute heart failure were considered. After screening a total of 2234 articles, 76 published between 1994 and 2023 were included in subsequent analysis. Based on available evidence, proposed treatment algorithms to guide optimal management of acute heart failure caused by VHD were created. As the number of patients presenting with acute heart failure caused by VHD continues to rise and outcomes following transcatheter valve interventions continue to improve, it is inevitable that minimally invasive options will play an increasingly important role in the acute setting, especially given these patients are at an increased operative risk. This review aims to present an organized approach to the complex management and interventional treatment of patients with acute heart failure caused by VHD.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".