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Vol. 46. Núm. 6. (Junio - Julio 2026)
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Comparative performance of renal histological scores in predicting kidney outcomes in ANCA-associated vasculitis

Comparación de los scores histológicos renales en la predicción de la evolución renal en la vasculitis asociada a ANCA
Visitas
905
Catarina Oliveira-Silva
Autor para correspondencia
catarina.ors@gmail.com

Corresponding author.
, Cláudia Coelho, Johanna Viana, Joana Rocha, Luís Falcão, Catarina Teixeira, Rui Costa, Raquel Vaz
Department of Nephrology, Unidade Local de Saúde de Braga, Braga, Portugal
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Table 1. Clinical and histological characteristics of the entire cohort and comparison of patients who did and did not progressed to ESKD.
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Table 2. Cox regression analysis of clinical and histological predictors of ESKD in AAV.
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Abstract
Background

Kidney involvement in anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) remains a major determinant of adverse patient outcomes. Several histological and clinicopathological scoring systems have been proposed to predict kidney prognosis and guide treatment decisions.

Methods

This retrospective cohort study evaluated patients with kidney biopsy-proven AAV, diagnosed between January 2013 and December 2023. The primary endpoint was progression to end-stage kidney disease (ESKD). Cox regression analysis was used to evaluate clinical and histological predictors of ESKD. Kaplan–Meier analysis, Harrell's C-statistics, and Cramér's V were used to assess the performance and concordance of Berden classification, Mayo Clinic Chronicity Score (MCCS), Renal Risk Score (RRS), and Improved ANCA Kidney Risk Score (AKRiS).

Results

Of 53 included patients, 22.6% progressed to ESKD. Interstitial fibrosis and tubular atrophy ≥25% was the strongest histological predictor of ESKD, and MCCS (HR 1.574 [95% CI 1.123–2.206]), RRS (HR 1.405 [95% CI 1.110–1.777]) and AKRiS (HR 1.254 [95% CI 1.090–1.442]) proved to be independent predictors of ESKD. AKRiS showed the highest discriminative performance (C-statistic 0.871 [95% CI 0.781–0.989]) and differentiated kidney survival across all risk categories. Cross-comparison revealed significant concordance among low and high-risk groups of MCCS, RRS, and AKRiS.

Conclusions

In a contemporary cohort of AAV, MCCS and AKRiS demonstrated the strongest predictive performance for ESKD. The combined use of histological and clinicopathological scores may improve risk stratification and support more personalized treatment decisions, particularly in patients with intermediate risk.

Keywords:
ANCA-associated vasculitis
Improved Kidney Risk Score
Mayo Clinic Chronicity Score
Renal Risk Score
Resumen
Introducción

La afectación renal en la vasculitis asociada a anticuerpos anticitoplasma de neutrófilo (AAV) es un determinante mayor de resultados adversos en los pacientes. Se han propuesto varios sistemas de puntuación histológicos y clinicopatológicos para predecir el pronóstico renal y guiar las decisiones terapéuticas.

Métodos

Este estudio de cohorte retrospectivo evaluó a pacientes con AAV confirmada por biopsia renal, diagnosticados entre enero de 2013 y diciembre de 2023. El objetivo principal fue la progresión a enfermedad renal terminal (ERT). Se utilizó análisis de regresión de Cox para evaluar los predictores clínicos e histológicos de ERT. El análisis de Kaplan-Meier, las estadísticas C de Harrell y el V de Cramér se emplearon para evaluar el rendimiento y la concordancia de la clasificación de Berden, la Puntuación de Cronicidad de la Mayo Clinic (MCCS), el Renal Risk Score (RRS) y el Improved ANCA Kidney Risk Score (AKRiS).

Resultados

De los 53 pacientes incluidos, el 22,6% progresó a ERT. La fibrosis intersticial y atrofia tubular ≥25% fue el principal predictor histológico de ERT, y MCCS (HR 1,574 [IC95% 1,123-2,206]), RRS (HR 1,405 [IC95% 1,110-1,777]) y AKRiS (HR 1,254 [IC95% 1,090-1,442]) demostraron ser predictores independientes de ERT. AKRiS mostró el mejor rendimiento discriminativo (estadístico C 0.871 [95% CI 0.781-0.989]) y diferenció la supervivencia renal en todas las categorías de riesgo. La comparación cruzada reveló una concordancia significativa entre los grupos de bajo y alto riesgo de MCCS, RRS y AKRiS.

Conclusiones

En una cohorte contemporánea de AAV, MCCS y AKRiS demostraron el mejor poder discriminativo para ERT. El uso combinado de puntuaciones histológicas y clinicopatológicas puede mejorar la estratificación del riesgo y apoyar decisiones terapéuticas más personalizadas en pacientes con riesgo intermedio.

Palabras clave:
Vasculitis asociada a ANCA
Improved Kidney Risk Score
Mayo Clinic Chronicity Score
Renal Risk Score
Texto completo
Introduction

Anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) is a small-vessel necrotizing vasculitis that frequently affects the kidneys, manifesting as a pauci-immune focal and segmental necrotizing and crescentic glomerulonephritis.1 Renal involvement remains a major determinant of adverse kidney and patient outcomes,2,3 with approximately 20–40% of patients progressing to end-stage kidney disease (ESKD).4–6 Treatment of AAV relies on intensive immunosuppression to rapidly control inflammation and prevent irreversible organ damage. However, therapy adverse effects are considerable and contribute to significant patient morbidity and mortality, with infections leading the cause of early mortality in the first year of diagnosis.7 Therefore, identifying accurate predictors of kidney outcome at the time of diagnosis remains a clinical priority to guide treatment decisions.

Several clinical and histopathological factors have been associated with long-term kidney outcomes, including older age, baseline kidney function, hypertension, and relapses,4,6,8–10 as well as biopsy findings of percentage of normal glomeruli9,10 and chronic lesions like interstitial fibrosis and tubular atrophy (IFTA).11 To standardize risk assessment, different scoring systems have been developed to inform about the risk of ESKD in AAV (Fig. 1).

Fig. 1.

ANCA-associated vasculitis kidney histological scores.

The European Vasculitis Study Group (EUVAS) histological classification12 stratifies kidney biopsy findings into focal, crescentic, mixed, and sclerotic classes according to the predominant glomerular lesion. While the original cohort demonstrated a progressive decline in kidney prognosis from focal to sclerotic classes, subsequent validation studies highlighted its limited discriminative ability, particularly between crescentic and mixed classes, and underscored the importance of incorporating tubulointerstitial lesions to improve prognostic accuracy.9,13

Later, the Mayo Clinic Chronicity Score (MCCS) was proposed by Sethi et al.14 to standardize the reporting of chronic histological changes in glomerulonephritis and was subsequently validated for AAV.11 Higher chronicity grades have been consistently associated with lower rates of renal recovery, increased risk of ESKD, and mortality,11 establishing the MCCS as a valuable prognostic tool in AAV.4,6,15

In turn, Brix et al.16 introduced the clinicopathological ANCA Renal Risk Score (RRS), which combined the percentage of normal glomeruli, the degree of IFTA, and the baseline glomerular filtration rate (eGFR). It demonstrated excellent discriminative ability in the development cohort and has since been validated in multiple independent studies.4–6,15,17 More recently, the RRS was revised into the Improved ANCA Kidney Risk Score (AKRiS).18 By replacing eGFR with serum creatinine, reweighting the contribution of chronic lesions, and introducing a fourth risk category, AKRiS refined the original model and demonstrated excellent performance for predicting ESKD in the derivation cohort and subsequent validation studies.15,18,19

Although these scores have been validated individually, direct comparisons between classification systems, especially the most recent AKRiS, remain scarce. Furthermore, their performance under current treatment regimens has not been fully established, and the extent to which they provide complementary prognostic information remains underexplored. Hence, we aimed to evaluate and compare the performance of current histological and clinicopathological scores in predicting ESKD in a contemporary cohort of patients with AAV and explore their complementary role in enhancing risk stratification.

MethodsStudy design

We conducted a retrospective cohort study that included patients diagnosed with AAV with renal involvement who underwent a kidney biopsy from January 2013 to December 2023 at Unidade Local de Saúde de Braga in northern Portugal.

Eligibility criteria comprised adult patients (≥18 years old) with biopsy-proven AAV diagnosed and followed in our hospital, and a kidney biopsy containing at least eight glomeruli for histologic evaluation.4,13 Patients with secondary forms of AAV or coexisting glomerular diseases were excluded. The number of eligible patients determined the sample size.

For each patient, demographic, clinical, laboratory, and histopathological data were collected at disease presentation and throughout follow-up. The eGFR was calculated using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation.20 Extrarenal AAV involvement was recorded as documented by the medical team.

During the study period, all kidney biopsies were evaluated by two nephropathologists. All data were collected from the pathology records and included the total number of glomeruli, the number of normal glomeruli, the number of glomeruli with global and segmental sclerosis, the number of glomeruli with cellular crescents, the presence of arteriosclerosis, and the percentage of interstitial fibrosis and tubular atrophy. Renal biopsies were classified according to four histological scores (Fig. 1): the EUVAS/Berden classification12 classified glomerular histological findings into sclerotic, crescentic, focal, and mixed categories; the MCCS graded glomerulosclerosis, tubular atrophy, interstitial fibrosis and arteriosclerosis into minimal (0–1 points), mild (2–4 points), moderate (5–7 points) and severe (8–10 points) categories11,14; the RRS combined the eGFR at the time of kidney biopsy with the percentage of normal glomeruli and percentage of tubular atrophy and interstitial fibrosis to divide patients into low (0–1 points), medium (2–7 points) and high (8–11 points) risk groups16; the more recent AKRiS stratified the patients into low (0–4 points), moderate (5–11 points), high (12–18 points) and very high (21 points) risk groups based on serum creatinine and reweighted RRS histological parameters.18

The primary outcome was ESKD, defined as chronic kidney replacement therapy (KRT) at the end of follow-up. Patients were followed until ESKD, death, or December 2024.

This study was performed in line with the principles of the Declaration of Helsinki and was approved by the Ethics Committee of Unidade Local de Saúde de Braga (number 255_2025).

Statistical analysis

Categorical variables were expressed as absolute values with percentages (%); continuous variables were expressed as median with interquartile range [IQR]. Comparisons between patients were performed using the non-parametric Mann–Whitney U test and Pearson's chi-square or Fisher's exact.

Cox proportional hazard regression was used to identify clinical and histological predictors of ESKD. To prevent statistical over-adjustment and reduce the risk of collinearity, we performed separate Cox regression analyses for each composite histological score, ensuring that variables integral to a given score were excluded as additional covariates in the corresponding models. Renal survival (time from kidney biopsy to ESKD, censored for death) was estimated by Kaplan–Meier analysis and compared across histological scores risk categories using the log-rank test. Harrell's C-statistic was used to evaluate and compare the performance of the different histological classifications. Internal validation of discrimination was performed using bootstrap resampling (2000 iterations) to estimate optimism-corrected Harrell's C-indices and corresponding 95% confidence intervals. Association and concordance between MCCS, RRS, and AKRiS risk categories were evaluated using cross-tabulations, Pearson's chi-square test, and Cramér's V. Where significant, standardized residuals were examined to identify specific category pairings driving global associations. Distributions and significant residuals were summarized with heatmaps for each score comparison. A p value <0.05 was considered statistically significant. All analyses were performed using the IBM SPSS version 28.0 and RStudio version 4.5.1.

ResultsBaseline patient characteristics and outcome

Fifty-three patients with a median follow-up of 42.0 [IQR 15.0–70.0] months were included. Patients diagnosed between 2013 and 2018 had a median follow-up of 103.0 months [IQR 67.8–121.5], whereas those diagnosed between 2019 and 2023 had a median follow-up of 23.0 months [IQR 12.5–59.5], p<0.001. Table 1 summarizes the baseline characteristics of the entire cohort and compares patients who did and did not progress to ESKD. The median age at presentation was 65.0 [IQR 58.5–73.0] years, and most patients were male (56.6%) and had myeloperoxidase-specific ANCA (77.4%). Patients presented with a median serum creatinine of 4.3 [IQR 2.8–6.6] mg/dL and proteinuria of 3.0 [IQR 1.8–4.9] g/day. Seventeen (32.1%) required KRT at presentation, and eleven (64.7%) recovered renal function. A total of 12 (22.6%) patients progressed to ESKD after a median of 5.0 [IQR 0–34.0] months, and 7 (13.2%) patients died after a median of 57.5 [IQR 16.3–86.8] months. The 1-, 3-, and 5-year renal survival rates were 84.9%, 77.8% and 77.8%, respectively.

Table 1.

Clinical and histological characteristics of the entire cohort and comparison of patients who did and did not progressed to ESKD.

  Overall(n=53)  ESKD(n=12)  No ESKD(n=41)  p value 
Follow-up, mo  42.0 [IQR 15.0–70.0]  2.0 [IQR 0–19.0]  58.0 [IQR 21.5–70.5]  <0.001 
Male, n (%)  30 (56.6%)  8 (66.7%)  22 (53.7%)  0.424 
Age, years  65.0 [IQR 58.5–73.0]  68.0 [IQR 50.5–77.3]  65.0 [IQR 59.0–72.0]  0.632 
ANCA serology, n (%)0.758 
ANCA-MPO  41 (77.4%)  10 (83.3%)  31 (75.6%)   
ANCA-PR3  8 (15.1%)  1 (8.3%)  7 (17.1%)   
Negative  4 (7.5%)  1 (8.3%)  3 (7.3%)   
Serum creatinine, mg/dL  4.3 [IQR 2.8–6.6]  6.8 [IQR 5.3–9.4]  3.4 [IQR 2.5–5.2]  <0.001 
Proteinuria, g/day  3.0 [IQR 1.8–4.9]  3.1 [IQR 2.1–4.2]  2.7 [IQR 1.4–3.9]  0.347 
BVAS  15.0 [IQR 12.0–18.0]  16.5 [IQR 12.0–19.8]  15.0 [IQR 12.0–17.0]  0.370 
Renal limited vasculitis, n (%)  19 (35.8%)  2 (16.7%)  17 (42.5%)  0.103 
Organ involvement, n (%)
Lung  24 (45.3%)  7 (58.3%)  17 (41.5%)  0.302 
ENT  8 (15.1%)  8 (19.5%)  0.097 
Skin  5 (9.4%)  5 (12.2%)  0.204 
PNS  3 (5.7%)  1 (8.3%)  2 (4.9%)  0.649 
Kidney biopsy findings
Total glomeruli  16.0 [IQR 11.0–22.0]  15.5 [IQR 10.5–19.0]  17.0 [IQR 11.0–24.0]  0.758 
Percentage of normal glomeruli  21.7 [IQR 0–38.7]  8.3 [IQR 0–26.3]  25.0 [IQR 0–44.2]  0.135 
Percentage of globally sclerotic glomeruli  16.0 [IQR 2.0–41.1]  34.3 [IQR 9.3–59.1]  11.1 [IQR 0–23.2]  0.061 
Percentage of glomeruli with cellular crescents  36.4 [IQR 13.1–59.2]  28.3 [IQR 8.8–54.3]  37.9 [IQR 18.4–60.8]  0.444 
Interstitial fibrosis and tubular atrophy, n (%)0.127 
Absent  4 (7.5%)  1 (8.3%)  3 (7.3%)   
Mild (<25%)  24 (45.3%)  2 (16.7%)  22 (53.7%)   
Moderate (25–50%)  21 (39.6%)  8 (66.7%)  13 (31.7%)   
Severe (>50%)  4 (7.5%)  1 (8.3%)  3 (7.3%)   
Berden classification, n (%)0.146 
Crescentic  22 (41.5%)  4 (33.3%)  18 (43.9%)   
Mixed  13 (24.5%)  2 (16.7%)  11 (26.8%)   
Sclerotic  10 (18.9%)  5 (41.7%)  5 (12.2%)   
Focal  8 (15.1%)  1 (8.3%)  7 (17.1%)   
MCCS  4.0 [IQR 3.0–6.0]  6.0 [IQR 4.0–7.7]  3.0 [IQR 3.0–5.0]  0.005 
RRS  5.0 [IQR 3.0–8.5]  5.0 [IQR 8.0–11.0]  4.0 [IQR 2.0–7.5]  0.003 
AKRiS  10.0 [IQR 4.0–14.0]  16.5 [IQR 11.8–21.0]  8.0 [IQR 4.0–11.0]  <0.001 
KRT at presentation, n (%)  17 (32.1%)  7 (58.3%)  10 (24.4%)  0.027 
Plasma exchange, n (%)  7 (13.2%)  4 (33.3%)  3 (7.3%)  0.019 
Induction therapy, n (%)
GC alone  2 (3.8%)  2 (16.7%)  – 
CYC+GC  23 (43.4%)  3 (25.0%)  20 (48.7%)  0.144 
RTX+GC  16 (30.2%)  1 (8.3%)  15 (36.6%)  0.061 
CYC+RTX+GC  12 (22.6%)  6 (50.0%)  6 (14.6%)  0.010 
Induction remission, n (%)  40 (75.5%)  2 (18.2%)  38 (97.4%)  <0.001 
Time to induction remission  4.0 [2.0–6.0]  4.0 [IQR 3.0–]  4.0 [IQR 2.0–6.3]  0.950 
Maintenance therapy, n (%)  44 (83.0%)  6 (50.0%)  38 (92.7%)  <0.001 

AKRiS, Improved Kidney Risk Score; ANCA, anti-neutrophil cytoplasmic antibody; BVAS, Birmingham Vasculitis Score.

CYC, cyclophosphamide; ENT, ear nose and throat; ESKD, end-stage kidney disease; GC, glucocorticoids; KRT, kidney replacement therapy; MCCS, Mayo Clinic Chronicity Score; mo, months; MPO, myeloperoxidase; PNS, peripheral nervous system; PR3, proteinase 3; RRS, Renal Risk Score; RTX, rituximab.

Continuous variables are reported in median [IQR].

A p value <0.05 was considered statistically significant (bold).

Regarding kidney histology, patients who progressed to ESKD had a higher frequency of IFTA ≥25% (75.0% vs. 26.8%, p=0.002). Additionally, ESKD patients had a higher proportion of Berden classification sclerotic class (41.7% vs. 12.2%) and a higher median MCCS (6.0 [IQR 4.0–7.7] vs. 3.0 [IQR 3.0–5.0], p=0.005), RRS (5.0 [IQR 8.0–11.0] vs. 4.0 [IQR 2.0–7.5], p=0.003) and AKRiS (16.5 [IQR 11.8–21.0] vs. 8.0 [IQR 4.0–11.0], p<0.001).

Clinical and histological predictors of ESKD

In Cox regression analysis of clinical and histological predictors, serum creatinine, percentage of globally sclerotic glomeruli ≥50%, IFTA ≥25%, KRT at presentation, plasma exchange, and induction therapy with glucocorticoid and cyclophosphamide, rituximab or both were significantly associated with renal survival in AAV. In multivariable analysis, IFTA ≥25% remained the strongest independent predictor of ESKD (HR 9.190 [95% CI 1.499–56.331], p=0.016), as shown in Table 2. The purely histological MCCS remained an independent predictor of ESKD (HR 1.574 [95% CI 1.123–2.206], p=0.008) after adjusting for serum creatinine, KRT at presentation and induction therapy (Table 2). Similarly, both clinicohistological RRS (HR 1.405 [95% CI 1.110–1.777], p=0.005) and AKRiS (HR 1.254 [95% CI 1.090–1.442], p=0.002) were independent predictors of ESKD after adjustment for KRT at presentation and induction therapy (Table 2).

Table 2.

Cox regression analysis of clinical and histological predictors of ESKD in AAV.

Variables  Univariate analysisMultivariate analysis
  HR  95% CI  p value  HR  95% CI  p value 
Clinical and histological features
Age, years  0.998  0.950–1.049  0.943       
Serum creatinine, mg/dL  1.291  1.136–1.467  <0.001  1.385  1.000–1.919  0.050 
Percentage of globally sclerotic glomeruli ≥50%  3.698  1.072–12.759  0.038  1.612  0.232–11.194  0.629 
Percentage of cellular crescents ≥50%  0.751  0.224–2.519  0.643       
Percentage of normal glomeruli >25%  0.516  0.155–1.720  0.281       
Percentage of normal glomeruli <10%  2.000  0.644–6.217  0.231       
IFTA ≥25%  9.150  1.961–42.701  0.005  9.190  1.499–56.331  0.016 
KRT at presentation  4.537  1.319–15.602  0.016  0.916  0.136–6.174  0.929 
Induction with GC+other immunosuppressanta  0.117  0.024–0.566  0.008  4.686  0.147–148.976  0.382 
Plasma exchange  2.054  1.110–3.802  0.002  1.711  0.708–4.134  0.233 
Histological score MCCS
Serum creatinine, mg/dL  1.291  1.136–1.467  <0.001  1.272  0.925–1.747  0.138 
KRT at presentation  4.537  1.319–15.602  0.016  1.129  0.148–8.641  0.249 
Induction with GC+other immunosuppressanta  0.117  0.024–0.566  0.008  1.785  0.064–49.9006  0.733 
Plasma exchange  2.054  1.110–3.802  0.002  2.228  1.022–4.864  0.044 
MCCS  1.453  1.135–1.860  0.003  1.574  1.123–2.206  0.008 
Clinicohistological score RRS
KRT at presentation  4.537  1.319–15.602  0.016  2.089  0.401–10.878  0.382 
Induction with GC+other immunosuppressanta  0.117  0.024–0.566  0.008  0.163  0.024–1.090  0.061 
Plasma exchange  2.054  1.110–3.802  0.002  2.269  0.945–5.451  0.067 
RRS  1.374  1.110–1.702  0.004  1.405  1.110–1.777  0.005 
Clinicohistological score AKRiS
KRT at presentation  4.537  1.319–15.602  0.016  1.374  0.285–6.620  0.692 
Induction with GC+other immunosuppressanta  0.117  0.024–0.566  0.008  0.179  0.027–1.180  0.074 
Plasma exchange  2.054  1.110–3.802  0.002  2.034  0.902–4.585  0.087 
AKRiS  1.256  1.111–1.429  <0.001  1.254  1.090–1.442  0.002 

AKRiS, Improved Kidney Risk Score; GC, glucocorticoids; IFTA, interstitial fibrosis and tubular atrophy; KRT, kidney replacement therapy; MCCS, Mayo Clinic Chronicity Score; RRS, Renal Risk Score.

Histological scores were modeled as continuous variables. Hazard ratios represent the relative change in hazard associated with a one-unit increase in each continuous score.

A p value <0.05 was considered statistically significant (bold).

a

Cyclophosphamide, rituximab or cyclophosphamide+rituximab.

Kidney histological scores and prognosis

According to Berden classification, 22 (41.5%) patients were classified as crescentic, 13 (24.5%) as mixed, 10 (18.9%) as sclerotic, and 8 (15.1%) as focal. Although Kaplan–Meier survival analysis did not show statistically significant differences between histological classes (Fig. 2A), it differentiated the sclerotic class from the other subgroups (p=0.010). The 1- and 3-year kidney survival rates were 92.3% and 92.3%, 90.9% and 80.2%, 87.5% and 87.5% and 60.0% and 45.0% for the focal, crescentic, mixed, and sclerotic, respectively. After internal validation, the optimism-corrected Harrell's C-index for the Berden classification was 0.621 [95% CI 0.471–0.769].

Fig. 2.

Kaplan–Meier renal survival curves of Berden histological classification (A), Mayo Clinic Chronicity Score (B), Renal Risk Score (C) and Improved Kidney Risk Score (D).

Overall median MCCS was 4.0 [IQR 3.0–6.0]. Three (5.7%) patients were classified as minimal, 31 (58.5%) as mild, 13 (24.5%) as moderate and 6 (11.3%) as severe. Kaplan–Meier analysis demonstrated statistically significant differences (p=0.019) between the four risk categories (Fig. 2B). The 1- and 3-year kidney survival rates were 100% and 100%, 93.5% and 89.8%, 76.9% and 56.1% and 50.0% and 0% for the minimal, mild, moderate and severe-risk group, respectively. MCCS showed an optimism-corrected C-index of 0.821 [95% CI 0.730–0.931].

In RRS, the median overall score was 5.0 [IQR 3.0–8.5]. There were 8 (15.1%) patients in the low-risk, 29 (54.7%) in the medium-risk, and 16 (30.2%) in the high-risk group. The RRS differentiated kidney survival between high-risk and low-risk groups (p=0.031) (Fig. 2C). The 1- and 3-year kidney survival rates were 100% and 100%, 89.7% and 76.8%, 68.8% and 68.8% for the low, medium and high-risk groups, respectively. The RRS achieved an optimism-corrected Harrell's C-index of 0.779 [95% CI 0.641–0.957].

Finally, the median overall AKRiS was 10.0 [IQR 4.0–14.0]. There were 14 (26.4%) patients in the low-risk, 25 (47.1%) in the medium-risk, 9 (17.0%) in the high-risk, and 5 (9.4%) in the very high-risk group. Kaplan–Meier analysis demonstrated statistically significant differences (p<0.001) between the four risk categories (Fig. 2D). The 1- and 3-year kidney survival rates were 100% and 100%, 96.0% and 85.7%, 77.8% and 64.8% for the low, medium and high-risk groups, respectively. All patients in the very high-risk group started KRT in the first four months after kidney biopsy. After bootstrap internal validation, the optimism-corrected C-index for AKRiS was 0.871 [95% CI 0.781–0.989].

Association between the histological scores

A cross-comparison analysis between MCCS and RRS risk categories showed a moderate and statistically significant association (Cramér's V=0.42; χ2=18.83, df=6, p=0.004) between the scores. Fig. 3A demonstrates that they tend to align in the extreme risk categories, with strong concordance between ‘Minimal’ and ‘Low’ (standardized residual=+2.56), ‘Mild’ and ‘Medium’ (standardized residual=+2.26), and ‘Severe’ and ‘High’ (standardized residual=+3.01).

Fig. 3.

Heatmaps showing patient distribution by MCCS and RRS (A), MCCS and AKRiS (B) and RRS and AKRiS (C) risk categories. Cells marked with asterisk (*) have standardized residuals >|1.96|, indicating combinations found significantly more (or less) frequently than expected by chance.

Likewise, there was a moderate statistically significant association (Cramér's V=0.36; χ2=20.89, df=9, p=0.013) between MCCS and AKRiS scores. As shown in Fig. 3B, there is an over-representation of ‘Severe’ MCCS in the ‘Very high’ AKRIS category (standardized residual=+3.61) and, conversely, an absence of ‘Mild’ MCCS in the same group (standardized residual=−2.79).

In turn, there was a strong and statistically significant association between RRS and AKRiS risk categories (Cramér's V=0.66; χ2=46.2, df=6, p<0.001). Notably, patients classified as ‘Low’ by RRS were almost exclusively ‘Low’ in AKRiS (standardized residual=+5.12), while ‘High’ RRS patients concentrated in ‘High’ or ‘Very high’ AKRiS (standardized residual=+2.62 and +3.57). The strongest misalignment occurs with ‘Medium’ RRS and ‘Very high’ AKRIS (standardized residual=−2.58), as displayed in Fig. 3C.

Discussion

In this study, we reinforced the role of chronic tubulointerstitial lesions and MCCS for predicting AAV kidney outcomes independent of kidney function and induction therapy and confirmed that incorporating kidney function at the time of biopsy in RRS and AKRiS enhanced risk stratification. The AKRiS differentiated kidney survival among all risk categories and showed excellent discriminative performance for predicting ESKD in AAV, which remained robust after internal bootstrap validation. Cross-comparison analysis revealed a significant concordance between risk groups of MCCS, RRS, and AKRiS and suggested a complementary role for these scores in refining risk stratification, particularly among patients with intermediate risk.

The prognostic value of the Berden Classification has been previously established.12 Focal and sclerotic classes were typically associated with the best and worst kidney survival, respectively, while crescentic and mixed classes exhibited intermediate prognosis.13,21,22 In our cohort, kidney survival differed significantly only between the sclerotic and the remaining histological classes. Earlier diagnosis and prompt initiation of immunosuppressive therapy have likely improved outcomes in patients with active or potentially reversible lesions, such as those classified within crescentic and mixed patterns, justifying the absence of significant survival differences among these groups in contemporary cohorts,15,23 when compared to historical ones.12,13 These findings reinforce recent observations that Berden glomerular-based classification alone may lack sufficient discriminative power for reliable risk stratification in current AAV patients.9,10,15

The MCCS has been previously associated with lower rates of kidney recovery11 and a higher risk of ESKD with increasing chronicity grades in AAV.6,11,24 In our cohort, higher degrees of chronicity were associated with increasing risk of ESKD, with statistically significant differences in kidney survival between risk groups. Furthermore, MCCS remained an independent predictor of ESKD after adjustment for serum creatinine, KRT at presentation, plasma exchange and immunosuppressant induction therapy, and demonstrated strong discriminative ability (optimism-corrected C-index 0.821 [95% CI 0.730–0.931]), reinforcing its prognostic value in AAV.6,15,24 The moderate concordance observed between MCCS and both RRS and AKRiS at the low- and high-risk ends further supports its validity for kidney prognosis in AAV. Additionally, the variability observed in intermediate-risk groups suggests that the scores offer distinctive prognostic information and highlight the complementary role of combining MCCS with the more recent clinicohistopathological scores to refine risk stratification in intermediate prognosis subgroups.

The RRS proposed by Brix et al.,16 integrating the percentage of normal glomeruli and chronic tubulointerstitial damage with baseline serum eGFR, demonstrated good discriminative performance, with an optimism-corrected C-index of 0.779 [95% CI 0.641–0.957] after internal validation, aligning with previous RRS validation studies, ranging from 0.696 by Stella et al.,6 to 0.779 in the RRS development cohort16 and 0.877 in a Scottish National Cohort.5 However, Kaplan–Meier analysis only distinguished renal survival between high and low-risk groups. Sandino-Bermúdez et al.15 also noted that the RRS distinguished high-risk from other categories but did not differentiate between the low and medium risk groups. These findings suggest that the RRS medium-risk category may capture a more heterogeneous patient population with a wide range of risk profiles. One explanation lies in the use of eGFR, which condenses a broad range of creatinine values into narrow eGFR intervals,18 reducing its reliability in acute kidney injury. Additionally, given that IFTA emerged as the strongest independent predictor of ESKD in our cohort, the IFTA binary classification in RRS, when compared to the more granular grading of MCCS and reweighted categories in AKRiS, may have contributed to its lower discriminative performance, particularly among intermediate-risk patients.

In turn, by replacing eGFR with serum creatinine and creating an additional risk category, the revised AKRiS allowed for better risk discrimination and model performance.18 In this study, it was a predictor of ESKD independent of the KRT, plasma exchange and immunosuppressive treatment, differentiated renal survival among all risk categories, and provided excellent discriminative performance for predicting ESKD (optimism-corrected C-index 0.871 [95% CI 0.781–0.989]), exceeding the results of previous validation cohorts.15,19 Despite the strong association between RRS and AKRiS categories, we found that RRS ‘High’ risk patients were distributed over the AKRiS ‘Medium’, ‘High’, and ‘Very High’, also demonstrating the refined discriminative ability of AKRiS among higher risk patients and possibly justifying the survival differences between scores. Interestingly, all patients in the ‘Very High’ risk group started KRT months after biopsy, reflecting the patients with chronic irreversible damage who would probably not benefit from immunosuppressive therapy. Although the small number of patients in this risk category limits the generalizability of these results, it further supports the improved prognostic role of AKRiS.

One key finding of our study was the prognostic impact of chronic structural damage in predicting ESKD and its central role in the performance of MCCS, RRS, and AKRiS. Chronic irreversible changes are less influenced by therapy and inform about the potential for renal recovery,3,11 providing a reliable tool for predicting long-term kidney outcomes and guiding treatment decisions at the time of diagnosis.25 Although other authors have shown that the inclusion of post-treatment parameters, such as eGFR recovery,8,15 proteinuria,26,27 and kidney relapses8 improves the scores long-term prognostic performance, chronic damage remains one of the main predictors to guide treatment decisions at the time of diagnosis.28 Additionally, MCCS, RRS and AKRiS remained independently associated with ESKD after adjustment for KRT requirement, plasma exchange and immunosuppressive induction therapy, further reinforcing their role in treatment decision-making.

Emerging evidence suggests that molecular profiling of diagnostic kidney biopsies may further refine prognostic assessment in AAV-GN. Transcriptomic signatures appear capable of capturing biologic heterogeneity and active pathogenic pathways that are not fully reflected by semi-quantitative structural scoring, potentially enhancing prediction of kidney survival, particularly at mid- and long-term follow-up.29 These findings highlight the complexity of renal injury mechanisms in AAV and suggest that future prognostic frameworks may benefit from integrating structural and molecular information to achieve more individualized risk stratification.

We acknowledge certain limitations to this study. First, its single-centre and retrospective design introduce a potential for selection and information bias, which may limit the generalizability of our findings. Second, the relatively small sample size and limited number of ESKD events constrained the power of the survival analyses and the number of covariates that could be included in multivariable models. Third, patients diagnosed in the most recent years had substantially shorter follow-up compared with those included earlier. This may lead to underestimation of long-term ESKD risk and influence survival curve interpretation beyond the first year after biopsy. Therefore, longer and more homogeneous follow-up in contemporary cohorts will be important to confirm the long-term performance of these scores. Fourth, our cohort did not include patients treated with avacopan, a C5a receptor inhibitor increasingly incorporated into AAV induction regimens. As avacopan may influence renal recovery and long-term kidney outcomes, the performance of conventional histological and clinicopathological scores should be reassessed in cohorts managed under contemporary glucocorticoid-sparing strategies.

Despite these limitations, this study presents a contemporary cohort of patients with AAV, integrating multiple validated histological scoring systems, including the recently proposed AKRiS. It provides novel insights into score performance and inter-score association, offering clinically relevant data for risk stratification at diagnosis. Although the sample size was limited, patients were reasonably distributed across risk categories, allowing meaningful comparative analyses, and internal bootstrap validation supported the stability of the discriminative performance. Furthermore, most patients received induction immunosuppression and, in contrast to previous validation cohorts,5,6,15,24 a higher proportion of patients were treated with rituximab or combined regimens of rituximab and cyclophosphamide, supporting the relevance of these scores under current standards of care.

In conclusion, our study reinforces the value of kidney biopsy in AAV and validates the clinical utility of current histological scoring systems in a contemporary cohort. The more recent AKRiS showed better discriminative ability, differentiating risk across all categories. The complementary use of histological and clinicopathological scores in intermediate-risk groups may enhance stratification at diagnosis and support more informed therapeutic decisions.

Ethics approval

This study was performed in line with the principles of the Declaration of Helsinki. Approval was granted by the Ethics Committee of Unidade Local de Saúde de Braga (No. 255_2025).

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Conflict of interest

The authors have no relevant financial or non-financial interests to disclose.

Data availability

The data underlying this article will be shared on reasonable request to the corresponding author.

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