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Updated: Jan 17, 2026

A Large Animal Model for Acute Kidney Injury by Temporary Bilateral Renal Artery Occlusion
Published on: February 2, 2021
Kidney Prognosis in ANCA-associated Vasculitis: The ANCLA Risk Score From a Latin American Historical Cohort
Joaquín Rodelo-Ceballos1,2, Mauricio Restrepo-Escobar1, Mayra Estacio-Estacio1
1Department of Internal Medicine, University of Antioquia.
Background:
Antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) is a leading cause of rapidly progressive glomerulonephritis and a major contributor to end-stage kidney disease (ESKD). Prognostic tools remain limited, particularly in Latin American populations.
Methods:
We historically analyzed 164 adults with biopsy-proven pauci-immune necrotizing and/or crescentic glomerulonephritis consistent with AAV, diagnosed between 2011 and 2024 at a tertiary referral center in Colombia. Clinical and histopathologic variables obtained near the kidney biopsy (≤30 d) were analyzed using Cox proportional hazards models. The primary outcome was ESKD, defined as initiation of chronic dialysis or sustained estimated glomerular filtration rate (eGFR) <15 mL/min/1.73 m². Independent predictors were used to derive the ANCLA (ANCA in Latin America) Risk Score. Model performance was evaluated using the area under the ROC curve (AUC), Harrell C-index, and Kaplan-Meier analysis.
Results:
During a median follow-up of 12.9 months, 63 patients (38.4%) progressed to ESKD. Independent predictors included younger age, lower eGFR, higher 24-hour proteinuria, and a lower percentage of normal glomeruli. The ANCLA model demonstrated strong discrimination (AUC: 0.82, 95% CI: 0.79-0.85; C-index 0.72). Risk quartiles showed distinct kidney survival, with 2-year survival of ~95% in the lowest group versus <20% in the highest (log-rank p < 0.001). In comparative exploratory analyses, ANCLA outperformed the Berden classification and the Renal Risk Score within our cohort.
Conclusions:
The ANCLA Risk Score integrates routine clinical and histopathologic data into a simple, accurate tool for predicting kidney outcomes in AAV, including ANCA-negative cases (17.1%). Its strong performance in a Latin American cohort supports its potential for early risk stratification and clinical decision-making. External and multicenter validation are warranted.
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