Cardiac Resuscitation Events
Bibliographic record
Abstract
OBJECTIVE: To determine the accuracy of paper cardiopulmonary resuscitation records. DESIGN: Case series. SETTING: Twenty-six-bed video-monitored pediatric cardiac ICU. PATIENTS: All patients who had a resuscitation event with available video and electronically stored vital sign and waveform data from May 2012 to February 2013. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: There were 41 cardiopulmonary resuscitation events during the study period. Fifteen had complete and valid data from the paper cardiopulmonary resuscitation forms, the retrieved monitor data, and the continuous bedside video monitoring. These 15 events occurred in 12 individual patients, and there was 100% agreement of data in the documentation of interventions in place (ventilation, arterial catheter, pulse oximetry, and vascular access) and in the presence of a witness at the onset of the arrest. All events were witnessed. Of the 15 events, video and monitor review revealed that 14 used waveform and numeric capnometry to confirm endotracheal tube/tracheostomy placement, but this section was only completed on the paper cardiopulmonary resuscitation record in three of the 14 cases. All records showed no discrepancies in the time of return of spontaneous circulation. The video and monitor review revealed delay in initiating cardiopulmonary resuscitation (mode, 2 min; two cases ≥ 7 min) and shockable rhythms (ventricular arrhythmia) in two cases. A sign of pulseless state was discovered in seven cases classified on the paper record as "always with a pulse." Those include sudden loss of consciousness, flat arterial line tracing, and abrupt drop in the partial pressure of exhaled carbon dioxide tracing (< 10 mm Hg). CONCLUSIONS: Eyewitness accounts of cardiopulmonary resuscitation are often inaccurate and incomplete. Review of information from video and electronically stored vital sign and waveform data provides more accurate information than review of paper-based cardiopulmonary resuscitation records and may provide the insight necessary to improving cardiopulmonary resuscitation.
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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 | 0.001 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".