Intrathoracic neurons modify myocardial ischemia‐induced sudden cardiac death
Bibliographic record
Abstract
To determine if cardiac sympathetic intrathoracic reflexes represent a risk factor for ischemia‐induced sudden cardiac death (SCD) and, if so, whether targeting them reduces that risk. Left ventricular (LV) interstitial fluid (ISF) norepinephrine (NE) levels were assessed by microdialysis in anesthetized canines during transient coronary artery occlusion (CAO). Responses in animals with intact neuroaxes were compared to those in which the intrathoracic component of the cardiac neuronal hierarchy was surgically disconnected from central neurons vs those with intact neuroaxis that underwent spinal cord stimulation (SCS; T1‐T3 spinal level). In intact preparations, animals exhibiting enhanced NE ISF levels with increased dispersion between ischemic and border zone were at increased risk for SCD. Following intrathoracic neuronal decentralization, CAO induced NE release was reduced ~20% and uniform across the ischemic to border zones. Following intrinsic cardiac neuronal decentralization, CAO induced NE release occurred only in ischemic tissue. SCS also reduced CAO‐induced NE release (~60% vs control). Risk for CAO‐induced SCD was 42% in control, 8% following decentralization and 10% with SCS. These data demonstrate that stabilization of intrathoracic nervous system by such means reduces the potential for ischemia‐induced SCD while maintaining regulatory function. HL71830
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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 | 0.000 | 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) | 0.001 | 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".