The Mid-Range of the Adjusted Level of Ferritin Can Predict the Chronic Course in Patients with Adult Onset Still’s Disease
Bibliographic record
Abstract
OBJECTIVE: To find a measure that can predict the disease course in patients with adult onset Still's disease (AOSD). METHODS: We retrospectively investigated the medical records of 71 hospitalized patients with AOSD. Patients were divided according to chronic and nonchronic disease course. The initial laboratory results were defined as those at the time of admission, the extremely deviated laboratory results as the highest or the lowest results, and the adjusted laboratory results as area under the curve divided by the days of hospitalization. All measures were compared and the odds ratio (OR) for the chronic disease pattern was assessed. RESULTS: The mean age was 39.7+/-13.5 years and women accounted for 63 of the total 71 (88.7%). Thirty patients (42.3%) had self-limited disease, 9 (12.7%) intermittent disease, and 23 (32.4%) the chronic disease pattern (32.4%). Nine patients (12.7%) died. The initial levels of aspartate aminotransferase (AST), alanine aminotransferase (ALT) and ferritin, the highest levels of lactate dehydrogenase (LDH) and ferritin, and the adjusted level of ferritin in patients with chronic disease were significantly higher than those with nonchronic disease. Among them, only the middle range of the adjusted ferritin level (784.1-4120.0 ng/ml) was found to have a significant predictive value for the chronic disease pattern (OR 81.7, p=0.007). CONCLUSION: A novel measure, the adjusted level of ferritin during the first hospitalization, might be useful to predict progression to chronic disease in patients with AOSD.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".