KL-6 But Not CCL-18 Is a Predictor of Early Progression in Systemic Sclerosis-related Interstitial Lung Disease
Bibliographic record
Abstract
OBJECTIVE: The 2 pneumoproteins, KL-6 and CCL-18, are promising biomarkers in systemic sclerosis (SSc)-related interstitial lung disease (ILD). Our goal was to determine their predictive significance for forced vital capacity % (FVC%) decline within the first year of followup in patients with early SSc-ILD. METHODS: Early SSc patients with imaging-verified ILD enrolled in the Genetics versus Environment in Scleroderma Outcome Study (GENISOS) cohort were included. Annualized rate of change in FVC% based on the baseline and followup measurement within 12-18 months was used as the surrogate outcomes for ILD progression. RESULTS: Eighty-two early SSc-ILD patients with mean disease duration of 2.3 years were investigated. FVC% change ranged from -23% to 38%. Baseline KL-6 levels were higher in patients than healthy controls (p < 0.0001). Higher KL-6 levels were predictive of faster FVC% decline at the 1-year followup (r = -0.23, p = 0.037). Upon categorizing KL-6 using a previously published cutoff of 1273 U/ml, its predictive significance remained in the univariable model (b = -0.07, p = 0.01), indicating that patients with positive KL-6 had on average 7% more decline in annualized percent change of FVC%. Moreover, KL-6 remained an independent predictor after adjustment for sex, disease type, anti-Scl-70, and immunosuppressive treatment status in multivariable models. Although CCL-18 was higher in patients than controls (p < 0.001), its levels did not predict FVC decline rate (p = 0.458). CONCLUSION: KL-6 but not CCL-18 is predictive of early SSc-ILD progression. KL-6 is a promising pneumoprotein that can contribute to SSc-ILD clinical trial enrichment.
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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".