INTRA-RENAL INVOLVEMENT IN PRIMARY ANTIPHOSPHOLIPID ANTIBODIES SYNDROME: DATA FROM 2 ITALIAN CENTERS
Bibliographic record
Abstract
PV020 / #573 Poster Topic: AS03 - Antiphospholipid Syndrome Background/Purpose Antiphospholipid antibodies nephropathy (aPL-N) is defined by thrombotic microangiopathy (TMA) early lesions and late lesions such fibro-intimal hyperplasia with luminal obliteration/organized thrombi, fibrous arterial/arteriolar occlusion and focal cortical atrophy.[1] Beyond these distinct microvascular lesions, other glomerular conditions (membranous nephropathy, MN; focal segmental glomerulosclerosis, FSGS), were reported in primary APS (PAPS) patients, even without aPL-related vascular lesions. Objectives. 1) To evaluate clinical/laboratory features associated to intra-renal involvement in PAPS patients; 2) to clinically and histologically characterize PAPS patients with a) aPL-N and b) non-aPL-N intra-renal involvement. Methods Observational retrospective multicentric study including PAPS patients regularly followed (1984-2023). 1) Case-control study: PAPS patients with intra-renal involvement histologically confirmed vs PAPS patients without renal involvement signs. 2) Separate analysis according to renal histologic findings: a) aPL-N and b) non-aPL-N. Results Among 258 PAPS patients (78% females, median age at onset: 32 years, 67% thrombotic phenotype, 54% obstetric phenotype, 41% triple aPL+), 17 (7%) had histologically confirmed intra-renal involvement. It was the first disease manifestation in 10/17 (59%) patients, the main presentation was with isolated urinary abnormalities (IUAs) in 53% of the cases. At renal biopsy 35% had classic aPL-N injuries while 65% showed non-aPL-N intra-renal lesions. 1) Patients with intra-renal involvement suffered less macrovascular thrombotic events and more catastrophic APS (CAPS), thrombocytopenia, epilepsy, and lupus anticoagulant (LA)+ (Table 1). 2a) aPL-N was the first manifestation of APS in 5/6 (83%) cases, presenting with severe arterial hypertension in 17%, CAPS in 33% and IUAs in 50%. Despite therapy with anticoagulant (60%) or antiplatelet (40%) drugs in most patients, the 12-months renal response was complete in only 1/3 of the cases; half of the patients suffered subsequent aPL-related events (3/6 thrombocytopenia; 2/6 thrombotic events). 2b) PAPS patients with non-aPL-N intra-renal lesions had MN in 6/11 and FSGS in 5/11 cases, with some degree of non-specific vascular injury in 64%. As compared to patients with aPL-N, they presented more frequently normal serum creatinine and higher 24h-proteinuria levels (Figure 1) but no differences in systemic autoantibodies/complement levels. All the patients belonging to this subgroup experienced aPL-related events (8/11 thrombotic events, 5/6 obstetric events, 3/11 epilepsy, 2/11 heart valve lesions, 1/11 thrombocytopenia), that in 45% cases were preceded by the renal disease. Table 1. Continuous variables are presented as median (1st-3rd quartile) and compared with Mann-Whitney test; categorical variables are presented as number/number available data (%) and compared with Chi-square test/Fisher’s exact test. *= “extra-criteria” according to Sydney APS criteria 2006. Abbreviations: APS= antiphospholipid syndrome; aPL= antiphospholipid antibodies; LA= lupus anticoagulant; aCL= anticardiolipin antibodies. aβ2GPI= anti-beta2glycoproteinl antibodies; ANA= antinuclear antibodies. Figure 1. aPL-N vs non-aPL-N intra renal involvement: sCr= 1.9 [1.2-2.0] vs 0.98 [0.6-1.2] mg/dL; 24-hours proteinuria= 0.5 [0.4-0.5] vs 3.5 [1.9-3.9] g/24h. Conclusions The present work highlights the importance of conducting appropriate renal study in PAPS patients with renal biopsy, if needed, even in presence of mild IUAs. It underscores that aPL-N, being part of the peculiar microvascular APS subset, may require a treatment strategy beyond anticoagulation.[2] From nephrologists’ perspective, routinary screening for aPL during the assessment of glomerulopathies could be relevant, given the aPL prognostic role in the development of subsequent related events. References: [1.] Barbhaiya M. 2023. [2.] Erkan D. 2021.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".