Effect of Nonimmune Factors on Renal Prognosis in Adult IgA Vasculitis With Nephritis: A Long-Term Retrospective Cohort Study
Bibliographic record
Abstract
Objective Adult immunoglobulin A vasculitis (IgAV) is documented to be associated with more renal involvement and poorer renal outcomes compared to children, but adult IgAV nephritis (IgAV-N) data are rather limited. The present study aimed to describe the characteristics of adult IgAV-N and investigate the long-term prognostic factors. Methods Clinical and morphological data from 106 adult patients with biopsy-proven IgAV-N and follow-up data from 94 patients in a single Chinese center were analyzed in this retrospective study. Median follow-up time interval was 102 months. Results The median age of patients with IgAV-N at biopsy was 38 (IQR 24-53) years, and 52.8% were male. The median blood pressure was 126/80 mmHg, and 25.5% of patients were hypertensive at baseline. The median initial proteinuria was 1.4 (IQR 0.7-2.2) g/day and estimated glomerular filtration rate (eGFR) was 103 (IQR 84-121) mL/min/1.73 m2. The median time interval of onset to biopsy was 8 (IQR 3-40) weeks. In biopsy, the median percentage of global sclerosis was 5.9% (IQR 0.0-13.8), whereas 45.3% of patients had interstitial fibrosis and tubular atrophy. Further, during follow-up, 7.4% patients died, 4.3% patients progressed to endstage kidney disease (ESKD), and 6.4% patients developed > 30% eGFR reduction from baseline. Multivariate Cox proportional analyses revealed hypertension (HTN) history and > 10% global sclerosis at presentation were independent prognostic factors for poor outcome. Conclusion The present adult IgAV-N cohort revealed a relatively young onset age, and lower incidence of nephrotic syndrome and ESKD. Moreover, nonimmune factors such as history of HTN and renal chronic histological lesions in biopsy played a crucial role in prognosis of IgAV-N.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".