Comorbidities in Patients with Antineutrophil Cytoplasmic Antibody-associated Vasculitis versus the General Population
Bibliographic record
Abstract
OBJECTIVE: To evaluate the consultation rates of selected comorbidities in patients with antineutrophil cytoplasmic antibody-associated vasculitis (AAV) compared with the general population in southern Sweden. METHODS: We used data from a population-based cohort of patients with AAV diagnosed between 1998 and 2010 in Southern Sweden (701,000 inhabitants). For each patient we identified 4 reference subjects randomly sampled from the general population and matched for year of birth, sex, area of residence, and index year. Using the population-based Skåne Healthcare Register, we identified relevant diagnostic codes, registered between 1998 and 2011, for selected comorbidities assigned after the date of diagnosis of AAV or the index date for the reference subjects. We calculated rate ratios for comorbidities (AAV:reference subjects). RESULTS: There were 186 patients with AAV (95 women, mean age 64.5 yrs) and 744 reference persons included in the analysis. The highest rate ratios (AAV:reference) were obtained for osteoporosis (4.6, 95% CI 3.0-7.0), followed by venous thromboembolism (4.0, 95% CI 1.9-8.3), thyroid diseases (2.1, 95% CI 1.3-3.3), and diabetes mellitus (2.0, 95% CI 1.3-2.9). For ischemic heart disease, the rate ratio of 1.5 (95% CI 1.0-2.3) did not reach statistical significance. No statistically significant differences were found for cerebrovascular accidents. CONCLUSION: AAV is associated with increased consultation rates of several comorbidities including osteoporosis and thromboembolic and endocrine disorders. Comorbid conditions should be taken into consideration when planning and providing care for patients with AAV.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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".