Increased Risk of Rehospitalization for Acute Diabetes Complications and Suicide Attempts in Patients With Type 1 Diabetes and Comorbid Schizophrenia
Bibliographic record
Abstract
OBJECTIVE: The aim of this large retrospective cohort study was to estimate the supplementary morbidity and mortality risks conferred by the co-occurrence of schizophrenia among young people with type 1 diabetes. RESEARCH DESIGN AND METHODS: This nationwide population-based study included individuals aged 15-35 years hospitalized in France for type 1 diabetes from 2009 to 2012 with or without schizophrenia. For assessment of the occurrence of rehospitalization for acute diabetes complications, suicide attempts, and hospital mortality, multivariate logistic regressions and survival analysis adjusted for age, sex, and Charlson comorbidity index scores were performed. The association between hospitalization for suicide attempts and acute diabetes complications was further explored in a survival analysis, with the exposure of acute diabetes complications as a time-dependent covariate. RESULTS: Among 45,655 individuals aged 15-35 years who were hospitalized for type 1 diabetes, 341 (0.75%) had a previous or contemporary hospitalization for schizophrenia. Within 3 years of follow-up, schizophrenia was associated with increased risks of rehospitalization for hypoglycemia (adjusted odds ratio 3.21 [95% CI 1.99-5.20]), hyperglycemia (7.01 [3.53-13.90]), ketoacidosis (2.01 [1.49-2.70]), and coma (3.17 [1.90-5.27]); hospitalization for suicide attempts (12.15 [8.49-17.38]); and hospital mortality (2.83 [1.50-5.36]). Hospitalization for a suicide attempt was associated with an increased risk of hospitalization for acute diabetes complications independently from schizophrenia (hazard ratio 3.46 [95% CI 2.74-4.38]). CONCLUSIONS: Patients suffering from the combination of type 1 diabetes and schizophrenia are at increased risk of hospitalization for acute diabetes complications as well as suicide and hospital mortality. These individuals may require specific care programs and close monitoring of mental, somatic, and social health.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".