Progression of Nailfold Microvascular Damage and Antinuclear Antibody Pattern in Systemic Sclerosis
Bibliographic record
Abstract
OBJECTIVE: This study evaluates possible correlations between the pattern of antinuclear antibodies (ANA) on indirect immunofluorescence (IIF) testing and nailfold microangiopathy stage (early, active, and late stage) in systemic sclerosis (SSc). Patients with SSc were followed prospectively to monitor progression of microvascular damage. METHODS: The ANA pattern on IIF was searched in 42 patients with SSc showing an early pattern of nailfold microangiopathy at baseline, and was followed using nailfold videocapillaroscopy (NVC) for a median time of 91 months. RESULTS: Among patients whose microangiopathy showed a rapid progression from early to late pattern on NVC, the IIF pattern was fine-speckled + nucleolar (Scl-70+) in 44%, centromeric in 33%, nucleolar in 11%, and homogeneous in 11% of patients with SSc. Antitopoisomerase I antibodies were significantly more frequent (57%) in patients with late pattern of microangiopathy on NVC. The median time of progression from early to active disease was significantly lower in patients with both fine-speckled + nucleolar and nucleolar ANA positivity. The severity of microangiopathy was higher in patients with the nucleolar pattern on IIF. Patients already showing a slight reduction of capillary number at baseline were likely to have either the nucleolar or the fine-speckled + nucleolar pattern on IIF. Of note, 37% of patients still showing the early microangiopathy pattern on NVC at the end of the followup were ANA-negative. CONCLUSION: ANA-negative patients with SSc display a slower progression of nailfold microangiopathy characterized by the early pattern on NVC. Progression to the late NVC pattern (more advanced stage of microvascular damage) seems to be associated with a different autoantibody pattern on IIF (fine-speckled + nucleolar pattern being the most prevalent).
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".