Clinical Investigation of Nontuberculous Mycobacterial Lung Disease in Japanese Patients with Rheumatoid Arthritis Receiving Biologic Therapy
Bibliographic record
Abstract
OBJECTIVE: To review patients with rheumatoid arthritis (RA) receiving biologic therapy following a diagnosis of nontuberculous mycobacterial (NTM) lung disease and to evaluate disease deterioration according to clinical and radiological features and anti-NTM therapy. METHODS: We retrospectively analyzed medical records of 11 human immunodeficiency virus-negative patients with RA (median age, 64 years) receiving biologic therapy following diagnosis of NTM lung disease. RESULTS: NTM species included Mycobacterium avium complex in 9 patients (81.8%) and M. gordonae in 2 (18.2%). Underlying respiratory disease was present in 6 patients (54.5%), and most (81.8%) had radiographic features of nodular/bronchiectatic disease. Extent of NTM disease was 1-2 pulmonary lobes in 6 patients (54.5%), 3-4 lobes in 5 patients (45.5%), and 5-6 lobes in none. The results of radiological evaluations were unchanged or improved in 7 patients (63.6%) and worsened in 4 (36.4%). Radiological outcome was worse in patients with poor RA control despite their receiving biologic therapies for RA. Two of 3 patients receiving anti-NTM therapy as initial management for NTM improved, and 1 worsened. Three of 4 patients with worsened radiological outcome had high erythrocyte sedimentation rate (> 50 mm/h). CONCLUSION: Radiological deterioration was not observed in the majority of patients with RA receiving biologic therapy with NTM lung disease, and radiological outcome of pulmonary NTM was favorable in some patients undergoing anti-NTM therapy. Further studies focusing on disease deterioration according to biologic therapy received during NTM followup are warranted to determine appropriate treatment of RA patients with NTM lung disease.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 source (direct Gemma or distilled Codex), 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".