Implementing capnography for lactate-enhanced qSOFA scores: Sepsis diagnosis in EMS settings
Bibliographic record
Abstract
Sepsis is a life-threatening condition that occurs when the body produces a pro-inflammatory immune response to infection, leading to a decrease in blood flow that results in organ failure and death. Sepsis has the ability to kill within hours, and is responsible for 20% of deaths globally. However, current diagnostic techniques in the pre-hospital setting are limited by time and resources. It has recently been found that sepsis screening tools like qSOFA and lactate biomarkers used within the hospital could supplement diagnostic needs within the EMS setting. With research showing that lactate levels can be indirectly and instantaneously measured via capnography by EMS personnel, this technique may complement existing sepsis screening tools to achieve faster diagnosis. This article investigates the current flaws of sepsis diagnosis within the EMS setting and evaluates the benefits of the implementation of qSOFA and lactate technology.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".