The Multicenter Collaborative to Enhance Biologic Understanding, Quality, and Outcomes in Cardiogenic Shock (VANQUISH Shock): Rationale and Design
Bibliographic record
Abstract
BACKGROUND: Despite efforts to advance therapies in cardiogenic shock (CS), outcomes remain poor. This is likely due to several factors, including major gaps in our understanding of the pathophysiology, phenotyping of patients, and challenges with conducting adequately powered clinical studies. An unmet need exists for a comprehensive multicentre "all-comers" prospective registry to facilitate characterising contemporary presentation, treatment (in a device-agnostic fashion), and short- and intermediate-term outcomes and quality of life (QOL) of CS patients. METHODS: The Multicenter Collaborative to Enhance Biological Understanding, Quality and Outcomes in Cardiogenic Shock (VANQUISH Shock) registry is a prospective observational registry that will study unrestricted adult patients with a primary diagnosis of CS at 4 North American centres with multidisciplinary shock programs. Both acute myocardial infarction (AMI-CS) and acute heart failure (HF-CS) etiologies will be included, and the registry will be device agnostic and widely inclusive. The primary end point will be survival at 30 days after hospital discharge. Secondary outcomes will include in-hospital adverse events and survival to 6 and 12 months. Patients will also undergo neurologic and health-related QOL assessments with the Cerebral Performance Category (CPC) and Short-Form 36 (SF-36) health survey tools before discharge and during follow-up. Serial biospecimens will facilitate biomarker studies. CONCLUSIONS: The VANQUISH Shock registry provides a unique opportunity to study the pathophysiology, contemporary management, clinical course, and outcomes of CS. By capturing detailed and high-quality longitudinal data, the registry will address existing knowledge gaps and serve as a springboard for future mechanistic clinical studies to advance the field.
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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 | 0.035 | 0.040 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".