Early versus late onset interstitial lung disease in rheumatoid arthritis: An observational study of risk factors and mortality in Ontario, Canada
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: Interstitial lung disease (ILD) can occur as a manifestation of rheumatoid arthritis (RA) at various times in the disease course. We aimed to identify factors associated with early versus late onset RA-ILD and how the timing of RA-ILD influenced surgical lung biopsy completion and mortality. METHODS: We performed a retrospective observational study using health services data from Ontario, Canada. We identified RA cases between 2000 and 2020 using the Ontario Rheumatoid Arthritis Database. RA-ILD diagnosis required repeat physician visits for ILD, with early RA-ILD defined as within 1 year of RA diagnosis. We performed multivariable logistic regression to identify factors associated with early RA-ILD and surgical lung biopsy completion, and multivariable cox-proportional hazards regression to evaluate the association of early versus late RA-ILD on all-cause and RA-ILD related mortality. RESULTS: In total, we identified 3717 cases of RA-ILD. Older age at RA diagnosis [OR 1.04 (95%CI 1.03-1.05), p < 0.0001], female sex [OR 1.16 (95%CI 1.01-1.35), p = 0.04] and immigrating to Ontario [OR 1.70 (95%CI 1.35-2.14), p < 0.0001] was associated with early RA-ILD. Patients with early versus late RA-ILD experienced similar odds of undergoing a surgical lung biopsy [OR 1.34 (95%CI 0.83-2.16), p = 0.23]. Early RA-ILD was associated with increased all-cause mortality [HR 1.17 (95%CI 1.07-1.29), p = 0.0009], primarily driven by an increase in RA-ILD related mortality [HR 1.45 (95%CI 1.19-1.76), p = 0.0003]. CONCLUSION: Age at RA onset, female sex and immigration status are associated with early RA-ILD. Patients with early RA-ILD experience increased all-cause and RA-ILD related mortality after adjusting for demographics and comorbidities.
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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".