Factors Associated With Rapid Progression to Endstage Kidney Disease in Lupus Nephritis
Bibliographic record
Abstract
Objective. Lupus nephritis (LN) may lead to endstage kidney disease (ESKD) in 22% of patients over a period of 15 years, with the risk being particularly higher in diffuse proliferative forms. The rate of kidney function decline varies. However, a catastrophic course leading to ESKD within a few years from onset is uncommon. The aim of the present study was to assess the factors associated with rapid progression to ESKD in patients with LN. Methods. Patients from the Toronto Lupus Clinic with biopsy-proven LN at presentation and estimated glomerular filtration rate (eGFR) 60 mL/min/1.73 m2, who developed ESKD within 3 years were retrieved. Pathology reports were reviewed with particular emphasis on distinct histopathologic features. Demographic, clinical, laboratory, and therapeutic variables were also analyzed. Results. Ten patients (1.8% of the total LN population) developed ESKD within 3 years of diagnosis. Their mean age was 34.2 ± 7.3 years, mean time to ESKD 19.2 ± 12.4 months, initial eGFR 90.2 ± 24.9 mL/min/1.73 m2, proteinuria 2.7 ± 1.04 g/24 h. The median rate of kidney function decline was > 43 mL/min/1.73 m2/year. One patient had LN class III, 5 had LN class IV, 2 had membranous LN (class V), and another 2 had mixed IV/V. Moreover, 2 patients had extensive thrombotic microangiopathy, 1 collapsing glomerulonephritis, and 1 concomitant antiglomerular basement membrane (anti-GBM) nephropathy. Four patients showed no unusual kidney pathology; all of them had severe noncompliance (discontinued all medications to follow alternative treatment). Conclusion. Catastrophic progression to ESKD is uncommon in LN. The major associated factors are poor compliance and distinct histopathologic features such as thrombotic microangiopathy, collapsing glomerulopathy, and concomitant anti-GBM nephropathy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.003 |
| 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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".