Utilization profile of the trauma intensive care unit at the Role 3 Multinational Medical Unit at Kandahar Airfield between May 1 and Oct. 15, 2009
Bibliographic record
Abstract
BACKGROUND: In the war against the Taliban, Canada was the lead North Atlantic Treaty Organization (NATO) nation to provide medical and surgical care to NATO soldiers, Afghanistan National Army soldiers, Afghanistan Nation Police, civilians working in and outside Kandahar Airfield and Afghanistan civilians at the Role 3 Multinational Medical Unit (R3MMU) from February 2006 to October 2009. METHODS: We obtained data from the Joint Theatre Trauma Registry between May 1 and Oct. 15, 2009; 188 patients were admitted to the R3MMU intensive care unit (ICU). We analyzed the ICU data according to types and causes of trauma, mechanical ventilation prevalence, ICU medical and surgical complications, blood products utilization, length of stay in the ICU and mortality. RESULTS: The admitting services were general surgery (35%), neurosurgery (29%), orthopedic surgery (18%) and internal medicine (3%). Improvised explosive devices (46%) and gunshot wounds (26%) were the main causes of ICU admissions. The mean injury severity score for all patients admitted to the ICU was 37, and 81% of ICU patients required mechanical ventilation for a mean duration of 3 days. The main ICU complications were coagulopathy (6.4%), aspiration pneumonia (4.3%), pneumothorax (3.7%) and wound infection (2.7%). The following blood products were most used: packed red blood cells (55%), fresh frozen plasma (54%), platelets (29%) and cryoprecipitate (23%). The average length of stay in the ICU was 4.3 days, and the survival rate was 93%. CONCLUSION: The high survival rate suggests that ICU care is a necessary and vital resource for a trauma hospital in a war zone.
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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 | 0.002 |
| 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) | 0.001 | 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".