Insulin Infusion via an Intraosseous Needle in Diabetic Ketoacidosis
Bibliographic record
Abstract
We report the successful management of a five-year-old child with severe diabetic ketoacidosis with dehydration, who received his initial resuscitative fluids and a continuous infusion of insulin via an intraosseous needle. The patient had presented to a remote community hospital and intravenous access could not be gained. The correction of hyperglycaemia and metabolic acidaemia was achieved at a rate comparable to intravenous therapy. No complications were observed. Although intraosseous access is well described in paediatric resuscitation guidelines, it is not mentioned in International Diabetes Society guidelines for the management of diabetic ketoacidosis. Alternatives to intravenous administration of insulin delivery recommended in such guidelines, such as the subcutaneous or intramuscular routes, may be less appropriate than the intraosseous route. This route can also allow resuscitation fluids and other drugs to be reliably administered in children with diabetic ketoacidosis and severe dehydration where intravenous access can not be attained. We suggest that the potential role of intraosseous access, when intravenous access can not be obtained, should be considered when management guidelines for paediatric diabetic ketoacidosis with dehydration are reviewed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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".