CLINICAL AND HISTOLOGICAL PREDICTORS OF RENAL FUNCTION LOSS IN LUPUS NEPHRITIS: RESULTS FROM THE ACCELERATING MEDICINES PARTNERSHIP IN RA/SLE NETWORK
Notice bibliographique
Résumé
O040 / #227 Topic: AS15 - Lupus Nephritis-Clinical ABSTRACT CONCURRENT SESSION 06: LUPUS NEPHRITIS – CLINICAL OUTCOMES, PREDICTION AND THERAPY 23-05-2025 1:40 PM - 2:40 PM Background/Purpose Kidney survival is the ultimate outcome in lupus nephritis (LN), but predictors remain inadequately studied due to the need for long-term follow-up. This study aimed to identify clinical and histological predictors of kidney survival in LN. Methods The Accelerating Medicines Partnership (AMP) enrolled patients undergoing a clinically indicated (UPCR >0.5) kidney biopsy with resultant histology class II, III, IV, and/or V lupus nephritis (LN). Clinical and demographic features were collected from the time of diagnostic biopsy. Response was defined at 1 year for patients with baseline UPCR >1. Histological features were centrally scored. Kidney function loss was defined as a sustained 40% decline in estimated glomerular filtration rate (eGFR) or progression to end-stage kidney disease (ESKD). A Cox proportional hazard model was employed to identify predictors. Results We included 172 patients with a median follow-up time of 4.6 years (range 0.5-7.8), of whom 153 (89%) had >3 years follow-up. Clinical and demographic features are summarized in Table 1. A third of patients (56/172) developed eGFR loss with a median time to event of 2.6 years (range 0.13-7.1). Predictors of eGFR loss at time of biopsy included lower eGFR (especially eGFR <30 ml/min, HR 5.4), repeat biopsy status (HR 2.5), and NIH Chronicity Index (histological damage, HR 1.3 per unit) (Table 1). Sex, race, age, BMI, proteinuria, ISN class, NIH Activity Index, C3, C4, and anti-dsDNA were not associated with eGFR loss. Among histological features, an NIH Chronicity Index >2 (HR 2), glomerulosclerosis (HR 1.9), interstitial fibrosis (HR 2), tubular atrophy (HR 1.9), and interstitial inflammation (HR 2-but p=0.06), but not fibrous crescents or any of the NIH Activity Index glomerular features, were associated with eGFR loss (Table 1). Lack of clinical response at 3, 6, or 12 months was associated with future eGFR loss (Figure 1). Partial response at 12 months had higher risk of eGFR loss compared to complete response (HR 10.7), but lower than no response (HR 19). Reductions of UPCR >25% at 3 and >50% at 6 months were protective (HR 0.44-but p=0.11 and 0.3, respectively). Four patients with UPCR <0.5 at 1 year developed eGFR loss (1.8/100 person-years). Table 1. Association of baseline clinical, demographic, and histological features with GFR loss. Figure 1. Association of longitudinal clinical features with GFR loss Conclusions Low baseline eGFR and histological damage, but not activity or ISN class, predicted eGFR loss. Improvement of UPCR was associated with lower risk of eGFR loss, though eGFR loss still occurred in patients in clinical remission (UPCR <0.5) at 1 year. Acknowledgments: This work was funded by the Plank Family Foundation and the Jerome L. Greene Foundation. The Hopkins Lupus Cohort is supported by NIH R01-DK-134625. Additionally, this research was supported by the Accelerating Medicines Partnership® Rheumatoid Arthritis and Systemic Lupus Erythematosus (AMP® RA/SLE) Network, a public-private partnership involving AbbVie Inc., Arthritis Foundation, Bristol Myers Squibb Company, Foundation for the National Institutes of Health, GlaxoSmithKline, Janssen Research and Development, LLC, Lupus Foundation of America, Lupus Research Alliance, Merck & Co., Inc. Sharp & Dohme Corp., National Institute of Allergy and Infectious Diseases, National Institute of Arthritis and Musculoskeletal and Skin Diseases, Pfizer Inc., Rheumatology Research Foundation, Sanofi, and Takeda Pharmaceuticals International, Inc. The AMP Network aims to develop new methods for identifying and validating promising biological targets for diagnostics and drug development. Funding was provided through grants from the National Institutes of Health (UH2-AR067676, UH2-AR067677, UH2-AR067679, UH2-AR067681, UH2-AR067685, UH2-AR067688, UH2-AR067689, UH2-AR067690, UH2-AR067691, UH2-AR067694, and UM2-AR067678).
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».