Inhaled nitric oxide improves left ventricular function during myocardial ischemia
Bibliographic record
Abstract
Inhaled nitric oxide (NOi) exerts extra‐pulmonary effects by formation of nitrite and/or S ‐nitrosohemoglobin. Both release NO during hemoglobin desaturation, and may thus redistribute blood flow selectively to areas in need (Robin Hood Effect). Here, we studied the effects of NOi on left ventricular function and infarct size in a rat model of myocardial infarction (MI). MI was induced by occlusion of the left anterior descending (LAD) artery for 2 h. Rats were either sacrificed or reperfusion was re‐instated for 3 h. 50 ppm NOi was given during ischemia . Arterial pressure (AP), left ventricular pressure (LVP) and contractility (dp/dt) were measured, and infarct size and area at risk (AAR) were determined by methylene‐blue and tetrazolium red staining. After 2 h LAD occlusion, NOi had increased mean AP from 55.1±2.3 (in untreated controls) to 67.6±2.1 mmHg, systolic LVP from 66.3±2.8 to 80.2±2.6 mmHg, and dp/dt (max) from 1536±54 to 2287±62 mmHg/s (n=10 each, *p<0.05). NOi also reduced AAR from 39.7±1.8 to 28.7±0.9% of the left ventricle. After additional 3 h of reperfusion without NOi, mean AP, systolic LVP and dp/dt (max) were still higher in rats which had received NOi during ischemia as compared to controls, while infarct size was reduced from 24.7±2.5% to 17.4±0.3%. NOi improves left ventricular function during myocardial ischemia, presumably by selectively improving collateral blood flow to the AAR.
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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) | 0.001 | 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 | 0.001 |
| 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".