154: Effective Extracorporeal Cardiopulmonary Resuscitation in Improving Neurological Outcomes of Prolonged Cardiac Arrest: A Case Report
Bibliographic record
Abstract
The efficiency of extracorporeal cardiopulmonary resuscitation (ECPR) can significantly improve the neurological outcomes of cardiac arrest (CA). We report a successful case of rapid-response extracorporeal cardiopulmonary oxygenation-assisted resuscitation with a prolonged CPR duration on a cardiac arrest patient.A 44-year-old male patient presented with chest pain in ER and subsequently developed ventricular fibrillation. Despite multiple attempts of defibrillation and over 40 minutes of conventional CPR, restoration of spontaneous circulation (ROSC) was not succeed. The extracorporeal membrane oxygenation (ECMO) team rapidly deployed within 5 minutes of the call from the local hospital and arrived in 35 minutes. Under ultrasound-guided percutaneous cannulation through the patient’s right femoral artery and vein, the VA ECMO support (Lifemotion®, Chinabridge) was initiated in 12 minutes. The patient, with a Glasgow Coma Scale (GCS) score of 3, was transported to an experienced ECMO center, where coronary angiography revealed a 90% stenosis in the mid-left anterior descending (LAD) artery, the coronary stent was placed and patency was confirmed. On the second day, this patient had left-side pupil dilated, and the CT scan indicated cerebral infarction. On the fourth day, he regained consciousness with improved limb function. On the tenth day, ECMO was weaned off following an ejection fraction >50%. He was transferred out of the Intensive Care Unit on day 21st and discharged on day 35th to rehab with a GCS score of 15, normal cognition, and full muscle strength. This case highlights the significant roles of effective ECPR to improve the neurological
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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 | 0.001 | 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 | 0.001 |
| 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".