PREVALENCE, RISK FACTORS, AND OUTCOMES OF CHRONIC KIDNEY DISEASE IN SLE PATIENTS WITH AND WITHOUT LUPUS NEPHRITIS
Bibliographic record
Abstract
PV055 / #458 Poster Topic: AS06 - Comorbidities Background/Purpose Chronic kidney disease (CKD) is defined as abnormalities of kidney structure or function persisting for >3 months, detected by decreased estimated glomerular filtration rate (eGFR) or albuminuria. While lupus nephritis (LN) is a well-known cause of CKD in patients with systemic lupus erythematosus (SLE), other risk factors also contribute to the development of CKD in these individuals. Currently, guidelines recommend monitoring urinary protein rather than albumin, which may lead to delayed diagnosis of CKD in SLE patients despite potential benefits of earlier detection. Aims: To assess the prevalence, associated factors, and long-term clinical outcomes of CKD among SLE patients, both with and without a history of LN. Methods A retrospective single-center study, conducted between 2014–2023 and included adult patients diagnosed with SLE for at least 12 months. Patients were categorized into CKD or non-CKD groups. CKD was defined as having a decreased eGFR <60 ml/min/1.73m2 and/or albuminuria ≥30 mg/24h both in 2 or more consecutive tests spaced at least 3 months apart. eGFR was calculated using MDRD formula. Patients who developed end-stage kidney disease (ESKD) during follow-up were excluded. Study flowchart is shown in Figure 1. Data on sociodemographic and clinical characteristics were collected. Figure 1. Results A total of 162 SLE patients were included, of them 77 (47.5%) were diagnosed as having CKD. Among these, 57 (35.2%) had albuminuria, 43 (26.5%) had decreased eGFR, and 22 (13.6%) patients had both albuminuria and decreased eGFR. Notably, 47 (61.1%) of the CKD patients, had never been diagnosed with LN. The odds ratio (OR) for having CKD was 2.55 (95% CI 1.3-5.2, p=0.008) in patients with LN as compared to patients without LN. Strikingly, all male patients were categorized as CKD. CKD was associated with higher rates of antiphospholipid syndrome, diabetes, hypertension, and heart disease (Table 1). Additionally, CKD patients experienced higher rates of severe SLE exacerbations and severe infections requiring hospitalizations and more damage accumulation (Table 1). Despite comparable follow-up time, CKD patients had significantly higher mortality rates compared to non-CKD on univariate analysis (23.4% vs 0, p<0.001). Multivariate COX, age- and sex-adjusted model is shown in Figure 2, p<0.01). Table 1. Figure 2. Conclusions CKD is prevalent among patients with SLE, including those without a diagnosis of LN. CKD in SLE patients is associated with higher rates of comorbidities, severe disease exacerbations, and markedly increased mortality. Given the chronic and progressive nature of CKD, these findings suggest that proactive monitoring in SLE patients should include the measurement of albuminuria in addition to proteinuria. This approach could facilitate the introduction of new treatment options, thereby reducing the substantial morbidity and mortality associated with CKD in SLE.
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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 | 0.001 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".