In adults living with type 1 diabetes, additional autoimmune diseases are associated with more chronic complications and depression. A BETTER registry analysis
Bibliographic record
Abstract
AIM: People living with type 1 diabetes (T1D) are at elevated risk of additional autoimmune diseases (ADs) than the general population. We aimed to describe the association between additional ADs and T1D-related physical and mental burden in adults. METHODS: This was a cross-sectional analysis using data from the BEhaviors, Therapies, TEchnologies, and hypoglycemic Risk in T1D (BETTER) registry. Using patient reported-outcomes and validated questionnaires, we compared prevalence of vascular complications, hypoglycemia, and mental health issues between those with T1D alone (AD-) and T1D with additional AD (AD+). RESULTS: Among 3222 participants (66.2 % female, 42.7 ± 15.0 years), 36.3 % reported ≥ 1 AD+. The AD+ group was older (+4.4 years) and more female (+17.7 %) than the AD- group. The AD+ group had similar HbA1c (P = 0.20) but was more likely to report level 2 hypoglycemia in the past month (OR: 1.27 [95 %Cl 1.06-1.52]) and level 3 hypoglycemia since diagnosis (1.22 [1.05-1.42]). The AD+ group reported more cardiovascular disease (1.40 [1.03 to 1.90]), nephropathy (1.49 [1.19-1.86]), neuropathy (1.38 [1.13-1.69]), retinopathy (1.48 [1.22-1.78]), higher depression scores (p = 0.015), and anxiety/depression medication use (1.31 [1.10-1.56]). Number of AD+ was positively associated with depression scores (1 AD+ P = 0.055, 2+ AD+ p = 0.027), level 3 hypoglycemia since diagnosis (1 AD+ p = 0.037, 2+ AD+ P = 0.025), and number of chronic complications (1 AD+ P < 0.001, 2+ AD+ P < 0.001). CONCLUSION: For people with T1D, living with additional ADs is associated with higher levels of physical and mental diabetes complications, warranting regular screening in this population.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".