Clinical and socio‐demographic factors associated with diabetic ketoacidosis hospitalization in adults with Type 1 diabetes
Bibliographic record
Abstract
AIM: To identify the clinical and socio-demographic factors associated with hospitalization for diabetic ketoacidosis in adults with Type 1 diabetes. METHODS: We combined clinical and administrative health data from a large urban diabetes clinic to perform a data linkage study. We identified adults (aged ≥ 18 years old) with Type 1 diabetes and linked to hospital discharge abstracts to assess for diabetic ketoacidosis hospitalization. The study period was between 1 January 2004 and 31 December 2009, with all individuals living in the same geographic area. Multivariate logistic regression was used to identify potential predictors of diabetic ketoacidosis hospitalization. RESULTS: We identified 255 individuals with a diabetic ketoacidosis hospitalization and 1739 without a diabetic ketoacidosis hospitalization. Mean (standard deviation) age was 40.0 (15.8) years, 51.7% were men and mean duration of diabetes was 17.8 (12.9) years. Diabetic ketoacidosis hospitalization was associated with shorter duration of diabetes (odds ratio 0.96 per year; 95% confidence interval 0.95-0.98), gastroparesis (odds ratio 4.13; 95% confidence interval 1.82-9.35), psychiatric diagnosis (odds ratio 1.98; 95% confidence interval 1.22-3.19), and higher HbA1c (odds ratio 1.25 per 1% increase; 95% confidence interval 1.16-1.35). CONCLUSIONS: This study identifies specific clinical factors associated with diabetic ketoacidosis hospitalization in adults with Type 1 diabetes. This information can help to inform the detection of high-risk patients, for whom special attention and interventions may be warranted to prevent diabetic ketoacidosis.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".