Diabetic Ketoacidosis: Challenging Cases
Bibliographic record
Abstract
Diabetic ketoacidosis (DKA) is a hyperglycemic emergency that occurs in Type 1 dia-betes mellitus (T1DM) and only very rarely in Type 2 DM. The incidence of DKA is reported to be 4.6-12.5 per 1000 diabetic persons per year.1,2 With current therapy, there are still some patients who die. Patients hospitalized for acute hyperglycemia in Ontario have an in-hospital mortality ranging from <1 % in those aged 20-49 years to 16 % in those aged>75 years (1990),3 with mortality rates from DKA alone ranging from 0.65 % to 3.3%.4-7 This issue of Endocrinology Rounds reviews several potential pitfalls that may occur when diagnosing and treating DKA. DKA occurs when the absence of insulin action results in: • hyperglycemia with urinary osmotic losses of water and electrolytes (sodium [Na+], potassium [K+], chloride [Cl-]) leading to extracellular fluid volume (ECFV) depletion • a shift of K+ out of cells • ketoacidosis. The management of DKA requires first, recognition and second, appropriate treatment. The diagnosis of DKA is usually straightforward; patients with T1DM are acutely ill when
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".