Euglycemic Ketoacidosis Postsleeve Gastrectomy in 2 People With Type 1 Diabetes Using Automated Insulin Delivery
Bibliographic record
Abstract
As the prevalence of obesity rises in those with type 1 diabetes, there are more people with this condition undergoing bariatric surgery. Unfortunately, there is an increased risk of diabetic ketoacidosis, especially with euglycemia, in the postoperative period of bariatric surgery in this population. Automated insulin delivery is becoming increasingly popular as a form of intensive insulin therapy with major benefits such as reducing hypoglycemia, but the risk of ketoacidosis remains. We describe 2 cases of mild euglycemic ketoacidosis in the postoperative period after sleeve gastrectomy in adults with type 1 diabetes on commercial automated insulin delivery. Ketoacidosis postbariatric surgery is an ongoing risk, despite advancements in diabetes therapies; the information provided from technologies, however, can better inform and prevent this risk.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".