Medical emergency team involvement in patients hospitalized with acute myeloid leukemia
Bibliographic record
Abstract
Patients with acute myeloid leukemia (AML) are at risk for sudden clinical deterioration. We aimed to describe the incidence of medical emergency team (MET) activation, intensive care unit (ICU) admissions and outcomes for patients with AML. We performed a 5-year retrospective cohort study of patients hospitalized with AML. One hundred and seventy patients were divided into three groups: (1) MET activated (n = 34); (2) MET criteria present but MET not activated (n = 17); and (3) all other patients with AML (n = 119). MET activation incidence was 200 calls/1000 admissions (95% confidence interval [CI], 138-279), compared with a hospital-wide rate of 29.3 calls/1000 admissions (95% CI, 28.2-30.4) (relative risk 6.90; 95% CI, 4.77-9.67, p < 0.0001). Some 77% (n = 26) were triaged to the ICU. Hospital mortality was higher in MET activated and MET fulfilled without activation groups compared with all others (27% vs. 12% vs. 7%, p = 0.007). Changes to goals of care were more common with MET activation. Patients with AML commonly receive MET activation. Approximately one in 10 fulfill MET criteria, however do not receive MET activation.
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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 | 0.003 |
| 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".