Predictors of Damage and Survival in Patients with Wegener’s Granulomatosis: Analysis of 50 Patients
Bibliographic record
Abstract
OBJECTIVE: To evaluate damage features and impact on survival by Vasculitis Damage Index (VDI) in a cohort of Turkish patients with Wegener's granulomatosis (WG). METHODS: We enrolled 50 (25 female) patients with WG according to ACR criteria. Birmingham Vasculitis Activity Score (BVAS) and VDI were used to analyze disease activity and damage. RESULTS: Patients had kidney (82%), upper airway (72%), lung (70%), and nervous system (15%) involvement. Median age at diagnosis was 45 years, time to diagnosis was 3.5 months, and total followup time was 35.5 months. All but one patient was positive for antineutrophil cytoplasmic antibodies (ANCA). Mean final dose and duration of corticosteroid and cyclophosphamide was 15 +/- 14 g, 39 +/- 33 months and 36 +/- 34 g, 21 +/- 2 months, respectively. Mean early (e) BVAS were 20.2 +/- 7.1 (4-38) (median 21). Mean e-BVAS and e-VDI scores at presentation and final (f)-VDI scores at last visit were 20.2 +/- 7.1 (4-38), 3.1 +/- 1.7 (median 3) (0-7) and 4.4 +/- 2.6 (0-12), consecutively. Disease related damage was prominent in kidneys (50%) and upper airways (27%). Amenorrhea (90%), cataract (28%), and diabetes (24%) were the most frequent treatment related damages. Rapidly progressive glomerulonephritis at presentation (42%) progressed to endstage renal failure in 20%. Relapses occurred in 25% with mean BVAS of 6.5 +/- 2.3 (4-11). Survival rate was 77% at 37 months. Deaths occurred early (90% in the first year). f-VDI was high in patients who relapsed (6 +/- 3 vs 3.8 +/- 2.1, p = 0.03). Logistic regression analysis demonstrated that age at time of diagnosis and e-VDI were lower in survivors with OR = 0.9 (p = 0.06, 95% CI: 0.78-1) and OR = 0.5 (p = 0.04, 95%CI: 0.25-0.98), respectively. In this cohort, e-VDI score of 5 or more was related to death with 98% sensitivity and 56% specificity (p = 0.004) (CI: 0.66-0.95). CONCLUSION: Disease related damage outweighed treatment related damage in our cohort of predominantly generalized disease activity. Early damage and older age were found to be predictors of final damage and death.
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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) | 0.001 | 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".