Trends in weighted vital signs and the clinical course of 44,531 acutely ill medical patients while in hospital
Bibliographic record
Abstract
BACKGROUND: little is known about the changes and trends of individual vital signs during the course of acute illness in hospital. METHODS: the weighted points of the VitalPAC Early Warning Score (ViEWS) were assigned to each vital sign value measured on 44,531 acutely ill medical patients while they were hospitalized in the Thunder Bay Regional Health Sciences Centre, Ontario, Canada. These ViEWS weighted vital signs were averaged for every 24 hour period for five days after admission and five days before death or discharge and then combined to obtain an approximation of the trajectory of each vital sign while in hospital. RESULTS: compared with the other vital signs, the ViEWS weighted points for respiratory rate increase the most in patients who died in hospital and decrease the most in survivors. Combining respiratory rate with the weighted points for any of the other vital signs reduced rather than increased their monitoring performance. CONCLUSION: trends in respiratory rate, measured by observation at the bedside and given a ViEWS weighting is the best predictor of clinical outcome; minor changes predicted clinical outcome several days in advance.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".