Systolic Indices of Cardiac Contractility: Modeling and Analysis using Pressure-Volume Loop
Bibliographic record
Abstract
Modeling cardiac contractility in pre-clinical catheterization laboratory settings remains an important task to collect results under controlled hemodynamic conditions, while providing an assessment of systolic and diastolic indices. Diligent hemodynamic monitoring with acute-based pressure-volume modeling uncovers early indicators of heart failure (HF). In this article, basic procedural assessments are outlined, while deeper dive into systolic index of contractility, the end systolic elastance is provided with references to older, while comparing it to novel approaches. Transient preload reduction using inferior vena cava occlusion (IVCO) is the current standardized maneuver used in hemodynamic protocols to provide an assessment of contractile responsiveness. In this article an example of standard measures from a single catheterization lab were depicted using tables and figures, giving background to transient preload reduction to assess the values of systolic cardiac contractility. Additionally, novel twists on other possible index(ices) coming from capturing ES point may well present future opportunities to collect systolic cardiac contractility. In this instance, both single beat systolic PPESPVR and IVCO using ES points present unique opportunities in this niche area of research. Final two sections of this article are dedicated to procedural steps and how to standardize execution of IVCO. Final section is reserved for analytical steps of how to visually compare systolic indices post-IVCO in case of linear and quadratic relationship.
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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 | 0.010 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".