Pediatric Medical Emergency Team Events and Outcomes: A Report of 3647 Events From the American Heart Association’s Get With the Guidelines-Resuscitation Registry
Bibliographic record
Abstract
OBJECTIVES: To describe the clinical characteristics and outcomes of a large, multicenter cohort of pediatric medical emergency team (MET) events occurring in US hospitals reported to the American Heart Association's Get With the Guidelines-Resuscitation registry. METHODS: We analyzed consecutive pediatric (<18 years) MET events reported to the registry from January 2006 to February 2012. RESULTS: We identified 3647 MET events from 151 US hospitals: 3080 (84%) ward and 567 (16%) telemetry/step-down unit events; median age 3.0 years (interquartile range: 0.0-11.0); 54% male; median duration 29 minutes (interquartile range: 18-49). Triggers included decreased oxygen saturation (32%), difficulty breathing (26%), and staff concern (24%). Thirty-seven percent (1137/3059) were admitted within 24 hours before MET event. Within 24 hours before the MET event, 16% were transferred from a PICU, 24% from an emergency department, and 7% from a pediatric anesthesia care unit. Fifty-three percent of MET events resulted in transfer to a PICU; 3251 (89%) received nonpharmacologic interventions, 2135 (59%) received pharmacologic interventions, 223 (6.1%) progressed to an acute respiratory compromise event, and 17 events (0.5%) escalated to cardiopulmonary arrest during the event. Survival to hospital discharge was 93.3% (n=3299/3536). CONCLUSIONS: Few pediatric MET events progress to respiratory or cardiac arrest, but most require nonpharmacologic and pharmacologic intervention. Median duration of MET event was 29 minutes (interquartile range: 18-49), and 53% required transfer to a PICU. Events often occurred within 24 hours after hospital admission or transfer from the PICU, emergency department, or pediatric anesthesia care unit and may represent an opportunity to improve triage and other systems of care.
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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 | 0.005 |
| 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 | 0.000 |
| 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".