Children With Type I Interferonopathy: Commonalities and Diversities in a Large Patient Cohort
Bibliographic record
Abstract
Objective This study aimed to provide a comprehensive overview of the clinical features, laboratory and screening results, treatment options, and outcomes of patients with type I interferonopathy. Our secondary goal was to identify the predictors of long-term morbidity or mortality. Methods We included children with genetically confirmed type I interferonopathies, with a follow-up duration of > 1 year. Data were obtained retrospectively from medical records. Results Of the 40 eligible patients for the study, 52.5% were female, with a median age of disease onset of 1.5 years (range 0.1-13.2 yrs). They were diagnosed at an average age of 6.8 (SD 4.6) years. Aicardi-Goutières syndrome was the most common diagnosis (n = 15, 37.5%). The central nervous system was the most frequently affected system (n = 27, 67.5%). Janus kinase inhibitors were administered to 17 (42.5%) patients. Twenty-five patients (62.5%) developed at least 1 permanent morbidity or died during follow-up; thus, they were included in the poor outcome group. Although younger age at disease onset, intracranial calcification (ICC), and lack of chilblains and elevated acute-phase reactants were significant in univariate logistic regression analysis, only ICC on magnetic resonance imaging at admission (adjusted odds ratio 19.69, 95% CI 1.08-359.05, P = 0.04) was found to be a significant predictor of poor outcomes in multivariate logistic regression analysis. Conclusion For the first time, we evaluated the predictors of poor outcomes in patients with type I interferonopathy with a broad spectrum of subtypes. Further, our study’s unique patient characteristics can provide valuable insights into these extremely rare conditions.
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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".