P920Computational assessment of arrhythmia potential in the heterogeneously perfused ventricle
Bibliographic record
Abstract
Funding Acknowledgements: This work is supported by endowment funding. Background: The human left ventricle is heterogeneously perfused. We hypothesized that ischemia increases the heterogeneity causing fibrillation. Purpose: This study computationally assessed the arrhythmia potential in a heterogeneously perfused human ventricle 3D model. Methods: The Carro et al. human ventricle cell model [1] of action potential was modified to include the adenosine triphosphate (ATP) sensitive potassium current, IKATP [2]. In accordance with past studies [2, 3], electrophysiological alterations due to ischemia were implemented as increased extracellular potassium and reduced intracellular ATP concentrations in the cell model (Figure 1, A). The cell model was incorporated into spatial 2D and 3D models. The diffusion parameter that simulated inter-cellular gap junction coupling was adjusted to give an electrical wave conduction velocity of 0.7 m/s under control conditions. Imaging data from our ongoing imaging study was analysed to provide patient specific distribution of ventricular perfusion. Each simulated cell in the well perfused regions was assigned a control action potential, and those in the low perfusion regions were assigned the ischemic action potential. A border zone between the control and ischemic regions was implemented as smooth gradients of the potassium and ATP [3]. In addition, the ischemic zones were assigned a lower gap junction coupling. Arrhythmic potential was assessed by counting the number of re-entrant wave tips in 2D or filaments in 3D after 10 s of pacing at 1 Hz. Results: Extracellular potassium elevated the resting potential and IKATP reduced the action potential’s duration (Figure 1, A). Whereas under control and global ischemic conditions the propensity for initiating scroll waves was low, the inclusion of perfusion heterogeneity provided the substrate for initiation of re-entry. The ischemic border zone favours multiple re-entrant wave tips and erratic propagation patterns representing fibrillation arrhythmia, as illustrated in Figure 1, B. Conclusions: Inherent cardiac perfusion heterogeneity increases the arrhythmia potential of ischemic hearts. Abstract P920 Figure. EHRA Abstract 2017
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".