ArticleClinical kidney journal2024
The predictive performance of the ANCA renal risk score in patients over 65 years of age with renal ANCA-associated vasculitis.
Article in Clinical kidney journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- The percentage of normal glomeruli ("Normal" Glomerular Score) predicts kidney outcome in ANCA vasculitis.Clinical kidney journal · 2026Article
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13 authors.
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Abstract
Background: The anti-neutrophil cytoplasmic antibody (ANCA) renal risk score (ARRS) for predicting renal survival in ANCA-associated vasculitis (AAV) had not previously been validated in adults over 65 years of age and presenting impairments associated with an aging kidney, a high cardiovascular comorbidity burden and prevalent microscopic polyangiitis. Methods: We retrospectively studied a cohort of 192 patients over 65 years of age [median (interquartile range) age: 73 (68-78) years], including 17.2% with renal-limited vasculitis, 49.5% with microscopic polyangiitis and 33.3% with granulomatosis with polyangiitis, at six centres in northern France. The primary study endpoint was the cumulative incidence of end-stage kidney disease (ESKD, maintenance of dialysis for at least 3 months) at 12 months, with death considered as a competing event. Results: The median serum creatinine concentration at diagnosis was 300 (202-502) µmol/L, and 48 (25.0%) patients required dialysis at presentation. The ARRS was high in 43 (22.4%) patients, medium in 106 (55.2%) and low in 43 (22.4%). The cumulative incidence of ESKD at 12 months was 0% in the low-risk group, 13.0% (interquartile range 7.6-20.0) in the medium-risk group and 44.0% (29.0-58.0) in the high-risk group ( Conclusion: The ARRS was a poor predictor of kidney survival at 12 months among patients over 65 years of age with renal AAV involvement-especially in the high ARRS group. The addition of dialysis status at diagnosis as an additional clinical parameter might improve the predictive performance of the ARRS.
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