Hyperglycemic hyperosmolar syndrome at the onset of type 2 diabetes mellitus in an adolescent male
Bibliographic record
Abstract
Hyperglycemic hyperosmolar state (HHS) is rare in the paediatric population. The diagnosis and management of HHS presents a challenge in paediatric patients who may present with a mixed picture of HHS and diabetic ketoacidosis (DKA).A 15-year-old obese African American male was brought to the emergency department following a two-day history of feeling unwell. The patient was obtunded, hypotensive and tachypneic. Initial investigations revealed the following: pH 6.97 (normal 7.35 to 7.41), HCO(3) (-) 5 mEq/L (normal 20 mEq/L to 25 mEq/L), glucose 90.9 mmol/L (normal 3.4 mmol/L to 6.3 mmol/L), serum osmolality 454 mOsm/kg (normal 275 mOsm/kg to 295 mOsm/kg), Na(+) 141 mEq/L (normal 135 mEq/L to 145 mEq/L), corrected Na(+) 165 mEq/L, K(+) 8.4 mEq/L (normal 3.5 mEq/L to 5.0 mEq/L), urinalysis revealed 1+ ketones and 4+ glucose. The patient's clinical course was complicated by severe hyperkalemia, acute renal failure, refractory status epilepticus, rhabdomyolysis, pancreatitis and hypertension.The present case emphasizes the complexity of managing patients with a mixed DKA/HHS presentation and associated morbidities. It is very important to disseminate and implement screening guidelines for type 2 diabetes mellitus, so as to prevent this potentially devastating complication.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".