Undertreatment of Disease Activity in Systemic Lupus Erythematosus Patients with Endstage Renal Failure Is Associated with Increased All-cause Mortality
Bibliographic record
Abstract
OBJECTIVE: In a cohort of systemic lupus erythematosus (SLE) patients with endstage renal failure, to evaluate whether continuing rheumatology followup visits and immunosuppressive therapy after starting renal replacement were associated with increased survival. METHODS: We identified all SLE patients over 21 years old who started renal replacement therapy between 2005 and 2011 at an urban tertiary care center. Mortality data were obtained using in-hospital records and the US Social Security Death Index database. RESULTS: We identified 80 SLE patients undergoing renal replacement therapy. Twenty-two patients (28%) were followed in rheumatology clinics frequently (2 or more visits per year) after starting renal replacement therapy, and 58 patients (72%) were followed infrequently (fewer than 2 visits per year). Survival rates were significantly higher in transplant patients compared with dialysis patients. Patients with SLE followed frequently after starting dialysis had significantly higher 4-year survival rates compared with patients followed infrequently after starting dialysis (log-rank p = 0.03). In the Cox proportional hazards model, treatment with prednisone alone or with no medication was associated with a hazard ratio (HR) of death = 6.1 (95% CI 1.1, 34; p = 0.04) and HR = 13 (95% CI 1.5, 106; p = 0.02), respectively, compared with patients treated with a combination of immunosuppressive therapy with or without prednisone, adjusted for age at SLE diagnosis, sex, transplant status, and the frequency of rheumatology visits after the development of endstage renal failure. CONCLUSION: Active disease in patients with SLE undergoing renal replacement therapy may be underrecognized and undertreated, leading to increased mortality.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".