Challenges in Managing Myocardial Stunning Following Cardiac Arrest in a Very High-Risk NSTE-ACS Patient: A Case Report
Bibliographic record
Abstract
Introduction: Myocardial stunning is a reversible myocardial dysfunction that can occur due to various conditions, including focal ischemia—such as acute coronary syndrome (ACS)—and global ischemia, such as cardiac arrest. The proposed mechanisms include oxygen free radical damage during early reperfusion and altered calcium inflow leading to transient myofilament desensitization. Case Presentation: A 61-year-old woman with a history of uncontrolled hypertension and obesity presented with sudden loss of consciousness lasting one hour, preceded by chest pain and dyspnea. She experienced cardiac arrest and achieved return of spontaneous circulation (ROSC) after 10 minutes of cardiopulmonary resuscitation. Initial echocardiography showed a left ventricular ejection fraction (LVEF) of 32.9% and global hypokinesia. She was diagnosed with very high-risk non-ST-elevation ACS (NSTE-ACS), with suspected left main coronary artery obstruction or three-vessel disease. Her clinical course was complicated by acute pulmonary edema, respiratory failure, and cardiogenic shock. Management included intubation, dual antiplatelet therapy, anticoagulation, statin therapy, and inotropic support with dopamine and dobutamine. Her hemodynamic status improved within 18 hours, and she was extubated. On the third day post-arrest, follow-up echocardiography revealed a restored LVEF of 69.5% with normal wall motion. The patient was discharged after 9 days and continued to do well on outpatient follow-up for at least 6 months. Conclusions: Myocardial stunning should be considered in post-cardiac arrest and ACS patients with transient ventricular dysfunction. Early supportive care and close monitoring are essential, particularly in settings lacking advanced cardiac interventions.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".