Intraoperative cardiac arrest
Bibliographic record
Abstract
Intraoperative cardiac arrest (IOCA) is a lethal complication of noncardiac surgery. According to several reports, immediate survival after IOCA is approximately 50%. In this study, a retrospective case analysis was performed to determine the incidence of IOCA, the potential causes of cardiac arrest, and the risk factors of no resuscitation in patients undergoing tumorous surgery.The medical records of surgery patients who experienced cardiac arrest during the intraoperative period between 2005 and 2014 were reviewed. The general conditions of the patients with IOCA were compared between the successfully resuscitated group and the unresuscitated group.Fifteen patients with IOCA among 142,853 patients undergoing tumorous surgery were reviewed during the study period. Immediate survival after IOCA was 60%. Hospital survival was 46.7%. The incidence of IOCA decreased during 2010 to 2014 when compared with the rate during 2005 to 2009 (P < .05). The risk factors affecting the success of resuscitation after IOCA included American Society of Anesthesiologists Physical Status (ASA PS) classification ≥ III (P < .05) and preoperative tachycardia (heart rate ≥100/min, P < .05). The methods of anesthesia had no effects on the results of resuscitation.The incidence of IOCA in patients undergoing tumorous surgery was 1.05 per 10,000 anesthesia. The overall mortality of IOCA was 0.56/10,000. The frequency of IOCA decreased within 10 years. There was no cardiac arrest primarily attributable to anesthesia over this study period. The risk factors leading to unsuccessful resuscitation after IOCA were ASA PS classification ≥ III and preoperative tachycardia.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".