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. 2026 Mar 10;28:89. doi: 10.1186/s13075-026-03780-3

Predictors of glucocorticoid-free clinical remission in patients with newly diagnosed microscopic polyangiitis and granulomatosis with polyangiitis: a retrospective cohort study using a nationwide registry in Japan (J-CANVAS)

Yusuke Ushio 1, Risa Wakiya 1, Hiromi Shimada 1, Koichi Sugihara 1, Satoshi Omura 2, Daiki Nakagomi 3, Yoshiyuki Abe 4, Makoto Wada 5, Naoho Takizawa 6, Atsushi Nomura 7, Yuji Kukida 8, Naoya Kondo 9, Hirosuke Takagi 10, Koji Endo 11, Shintaro Hirata 12, Naoto Azuma 13, Tohru Takeuchi 14, Shoichi Fukui 15, Kazuro Kamada 16, Ryo Yanai 17, Yusuke Matsuo 18, Yasuhiro Shimojima 19, Ryo Nishioka 20, Ryota Okazaki 21, Tomoaki Takata 22, Mayuko Moriyama 23, Ayuko Takatani 24,25, Yoshia Miyawaki 26, Tsuyoshi Shirai 27, Takafumi Ito 28, Isao Matsumoto 29, Toshihiko Takada 30, Toshiko Ito-Ihara 31, Takashi Kida 2, Nobuyuki Yajima 17, Takashi Kawaguchi 32, Yutaka Kawahito 2, Hiroaki Dobashi 1,
PMCID: PMC13085565  PMID: 41803922

Abstract

Background

Glucocorticoids (GC) comprise a cornerstone in the treatment of antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV); however, prolonged GC exposure leads to substantial toxicity and immune system-related complications. Hence, identifying treatment strategies that enable early GC withdrawal while maintaining disease control is of clinical importance.

Objectives

To investigate the proportion and characteristics of patients achieving GC-free clinical remission (GFCR) 48 weeks after treatment initiation in patients with newly diagnosed microscopic polyangiitis (MPA) or granulomatosis with polyangiitis (GPA) and examine their long-term clinical outcomes (up to week 96).

Methods

We conducted a retrospective cohort study using clinical data from a multicenter, nationwide registry in Japan comprising patients with newly diagnosed MPA or GPA and at least 48 weeks of follow-up. GFCR was defined as a Birmingham Vasculitis Activity Score (BVAS) of 0 with complete GC withdrawal. Univariable and multivariable logistic regression analyses were used to identify independent predictors of GFCR at week 48, and a sensitivity analysis using a matched cohort was performed to validate robustness.

Results

A total of 728 patients were enrolled in the registry, of whom 544 were followed for ≥ 48 weeks; among them, 29 (5.3%) achieved GFCR at week 48. Use of rituximab (RTX) for induction therapy and avacopan within 48 weeks were independently associated with achieving GFCR (multivariable analysis, model 1: RTX: odds ratio [OR]: 3.9, 95% confidence interval [CI]: 1.5–10.0; avacopan: OR: 24.3, 95% CI: 5.8–101.9; both p < 0.01). Conversely, methylprednisolone pulse therapy was associated with a lower likelihood of achieving GFCR (multivariable analysis, model 1: OR: 0.08, 95% CI: 0.02–0.44; p < 0.01). Patient’s demographic and baseline disease characteristics were not predictive of GFCR. In the long-term (weeks 48 through 96), the rates of death, relapse, and serious infection were similar regardless of GFCR status at week 48.

Conclusions

The use of RTX for induction therapy and avacopan within 48 weeks is independently associated with achieving GFCR at week 48 in patients with MPA and GPA, supporting their potential as key components of GC-sparing strategies in AAV. Prospective studies are needed to confirm these results and optimize treatment algorithms to ensure disease control and minimize GC-related toxicity.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13075-026-03780-3.

Keywords: Glucocorticoids, Glucocorticoid-free, Microscopic polyangiitis, Granulomatosis with polyangiitis, Rituximab, Avacopan

Background

Antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) is a group of autoimmune conditions, including microscopic polyangiitis (MPA), granulomatosis with polyangiitis (GPA), and eosinophilic granulomatosis with polyangiitis (EGPA), characterized by the production of ANCAs and the development of systemic small vessel vasculitis [1]. AAV causes severe complications, such as rapidly progressive glomerulonephritis, interstitial lung disease, alveolar hemorrhage, and mononeuritis multiplex, resulting in significant morbidity and mortality [2].

The standard treatment for AAV includes glucocorticoid (GC) therapy combined with immunosuppressive agents, such as rituximab (RTX) and cyclophosphamide (CYC) [35]; however, long-term GC use is typically associated with a risk of serious complications, such as diabetes, hypertension, osteoporosis, cataracts, glaucoma, and infection [68]. As a result, minimizing GC use is now considered a primary goal in the management of AAV, particularly of MPA and GPA. The Plasma Exchange and Glucocorticoid Dosing in the Treatment of Antineutrophil Cytoplasm Antibody Associated Vasculitis (PEXIVAS) trial [9], conducted mainly in Europe and North America, and the Low-dose Glucocorticoid Vasculitis Induction Study (LoVAS) trial [10], conducted in Japan, demonstrated that the treatment efficacy of the reduced-dose GC regimen (starting at 0.5–1.0 mg/kg/day of prednisolone with a more rapid taper) was comparable to the conventional standard-dose GC regimen (starting at 1.0 mg/kg/day with a slower taper). Furthermore, results of the ADVOCATE trial [11] suggested that avacopan, a selective C5a receptor antagonist, may be used as an alternative to GC in the treatment of MPA and GPA. In the ADVOCATE trial, 65.7% of patients in the avacopan group achieved sustained remission at week 52, defined as remission at both week 26 and week 52 without GC use within the preceding 4 weeks.

Although the clinical evidence supporting the use of reduced-dose GC regimens for MPA and GPA is still developing, an important unknown in this sphere is the proportion of patients who can achieve GC-free clinical remission (GFCR) within 1 year after treatment initiation in real-world clinical settings. Furthermore, the patient characteristics or treatment strategies associated with achieving GFCR have not been fully elucidated. Therefore, using data from a nationwide registry in Japan, the present study aimed to determine the proportion and characteristics of patients with newly diagnosed MPA and GPA who achieved GFCR at 48 weeks after treatment initiation and to identify predictors associated with GFCR.

Methods

Study design and patients

This multicenter cohort study retrospectively reviewed patient data from the Japan Collaborative Registry of ANCA-Associated Vasculitis (J-CANVAS), a nationwide registry established by 29 hospitals in Japan. The registry enrolled adult (≥ 20 years) patients who were newly diagnosed with AAV or had a severe relapse between January 2017 and March 2023; patients were classified as having MPA, GPA, or EGPA based on the definitions proposed by the 2012 International Chapel Hill Consensus Conference [1] and the European Medicines Agency algorithm [12]. Each patient was followed up from disease onset to any of the following events: death, loss to follow-up, or March 2024. For the present study, we included all patients who were enrolled in the registry and were newly diagnosed with MPA/GPA; patients with a follow-up period of < 48 weeks or missing data on daily GC dose up to week 48 were excluded.

Data collection

Clinical data from each hospital were retrospectively collected by referring to their clinical records. Data regarding patients’ baseline characteristics (prior to treatment initiation), including demographics (age at diagnosis, sex, body weight, and height), vasculitis subtype (MPA/GPA), comorbidities (hypertension, diabetes, chronic kidney disease, cardiac disease, and cancer), laboratory data (serum albumin, serum creatinine, blood counts for neutrophils and lymphocytes, hemoglobin, serum C-reactive protein [CRP], serum IgG, ANCA serotype [myeloperoxidase [MPO]-ANCA/proteinase 3 [PR3]-ANCA/seronegative]), organ involvement (Birmingham Vasculitis Activity Score [BVAS] 3.0 [13]), treatment details (GC, methylprednisolone pulse, RTX, CYC, plasma exchange [PLEX], high-dose intravenous immunoglobulin, mycophenolate, methotrexate, azathioprine, or mizoribine) and outcomes (death, major/minor relapses, and serious infections) were recorded. All collected data were integrated using an electronic data capture system, Viedoc (PCG Solutions, Uppsala, Sweden).

Clinical definitions

Major relapse was defined as BVAS > 0 along with “organ-threatening or life-threatening disease in AAV” [14], while minor relapse was defined as BVAS > 0 and not fulfilling the criteria for major relapse. Serious infection was defined as an “infection requiring hospitalization or resulting in prolonged hospitalization” [15].

Outcomes

The primary study outcome was the proportion of patients who achieved GFCR at week 48 after treatment initiation. Clinical remission (CR) was defined as BVAS = 0. Accordingly, GFCR was defined as BVAS = 0 with complete withdrawal of GC at the time of assessment. The duration of GC discontinuation before the assessment was not evaluated, because longitudinal GC dose data between predefined follow-up visits was unavailable in our registry. Secondary outcomes included potential predictors, such as patient characteristics and treatment regimens, associated with GFCR at week 48, and clinical outcomes for the period between weeks 48 and 96.

Statistical analysis

Continuous data were presented as median (interquartile range [IQR]), and categorical variables were expressed as frequency and percentage. Between-group comparisons were conducted using the Wilcoxon rank sum test for continuous variables and Fisher’s exact test for categorical variables. Next, univariable and multivariable logistic regression analyses were performed to identify predictors of GFCR; variables with p-values < 0.05 (model 1) and < 0.20 (model 2) in the univariable analysis were used in the multivariable analysis. Odds ratios (ORs) and corresponding 95% confidence intervals (CIs) were estimated. To further confirm the predictors of GFCR, a sensitivity analysis was performed among patients who achieved GFCR versus those that did not using a matched cohort in a 1:3 ratio based on age (± 5 years), sex, AAV subtype (MPA or GPA), and baseline BVAS (± 5). Additionally, the multivariable logistic regression analysis was repeated in the matched cohort to assess the robustness of the findings. All p-values were two-sided, with p < 0.05 considered statistically significant. All analyses were conducted using JMP Pro 14 (SAS Institute, Cary, USA) and R (version 4.5.1; R Foundation for Statistical Computing, Vienna, Austria).

Ethical considerations

This study was approved by the Ethics Committee of the Faculty of Medicine, Kagawa University (approval number: 2025-067), and was conducted in accordance with the principles of the Declaration of Helsinki. The requirement for written informed consent was waived by the committee because of the retrospective nature of the study.

Results

Patient flow

A total of 875 patients were enrolled in the registry during the specified study period, comprising 728 newly diagnosed and 147 relapsing cases of MPA or GPA. The present analysis included the 728 newly diagnosed patients; of these, 184 were excluded from the analysis as they had a follow-up period of < 48 weeks. The reasons for a shorter follow-up were as follows: transfer to another hospital (n = 110), death (n = 35), major relapse (n = 20), study period ended before completion of 48-week follow-up (n = 13), and unknown reasons (n = 6). Thus, 544 patients were eligible for the analysis (Fig. 1). Compared with the 544 patients with a follow-up of at least 48 weeks, those with < 48 weeks of follow-up tended to be older (79.0 [71.0–83.0] years versus 74.0 [68.0–80.0] years; p < 0.001), had higher baseline BVAS (16.0 [12.0–21.0] versus 14.0 [10.0–19.0]; p < 0.001), and were more likely to have cardiovascular (9.8% versus 3.1%; p = 0.001) or renal involvement (82.6% versus 70.4%; p = 0.001), suggesting more severe disease activity and poorer general condition at baseline (Supplementary Table 1).

Fig. 1.

Fig. 1

Flowchart of patient selection and stratification according to GFCR status at week 48. GFCR Glucocorticoid-Free Clinical Remission, GPA Granulomatosis with Polyangiitis, MPA Microscopic Polyangiitis

GFCR at week 48

Among those with a follow-up of at least 48 weeks, 29 patients (5.3%) achieved GFCR, while 515 patients (94.7%) did not (Fig. 1).

Patient characteristics and clinical outcomes up to week 48

Baseline characteristics of patients with and without GFCR at 48 weeks are shown in Table 1. There were no significant differences between the two groups in terms of age, sex, vasculitis subtype, ANCA status, comorbidities, BVAS, organ involvement, or laboratory findings at diagnosis (all p > 0.05; Table 1).

Table 1.

Baseline characteristics (at diagnosis) of patients with and without GFCR at week 48

All patients ( n  = 544) With GFCR ( n  = 29) Without GFCR
( n  = 515)
p
Age, years 74.0 [68.0–80.0] 74.0 [68.0–79.5] 74.0 [68.0–80.0] 0.740
Sex, Female, n (%) 327 (60.1) 16 (55.2) 311 (60.4) 0.566
Type of vasculitis
 MPA, n (%) 399 (73.3) 24 (82.8) 375 (72.8) 0.286
 GPA, n (%) 145 (26.7) 5 (17.2) 140 (27.2) 0.286
ANCA status
 MPO-ANCA positive, n (%) 475 (87.3) 28 (96.6) 447 (86.8) 0.157
 PR3-ANCA positive, n (%) 60 (11.0) 1 (3.5) 59 (11.5) 0.235
 negative, n (%) 9 (1.7) 0 (0) 9 (1.8) 1.000
Comorbidity
 Hypertension, n (%) 242 (44.5) 14 (48.3) 228 (44.3) 0.704
 Diabetes, n (%) 119 (21.9) 5 (17.2) 114 (22.1) 0.649
 Chronic kidney disease, n (%) 78 (14.3) 4 (13.8) 74 (14.4) 1.000
 Cardiac disease, n (%) 71 (13.1) 2 (6.9) 69 (13.4) 0.407
 Cancer, n (%) 37 (6.8) 0 (0) 37 (7.2) 0.249
 Birmingham Vasculitis Activity Score (BVAS) 14.0 [10.0–19.0] 14.0 [8.0–20.0] 14.0 [10.0–19.0] 0.889
Organ involvement (BVAS ≥ 1) †
 General, n (%) 373 (68.6) 19 (65.5) 354 (68.7) 0.686
 Cutaneous, n (%) 105 (19.3) 7 (24.1) 98 (19.0) 0.473
 Mucous membranes or eyes, n (%) 66 (12.1) 3 (10.3) 63 (12.2) 1.000
 Ear, nose, and throat, n (%) 157 (28.9) 9 (31.0) 148 (28.7) 0.834
 Chest, n (%) 245 (45.0) 15 (51.7) 230 (44.7) 0.566
 Cardiovascular, n (%) 17 (3.1) 0 (0) 17 (3.3) 1.000
 Abdominal, n (%) 6 (1.1) 0 (0) 6 (1.2) 1.000
 Renal, n (%) 383 (70.4) 22 (75.9) 361 (70.1) 0.676
 Nervous system, n (%) 146 (26.8) 7 (24.1) 139 (27.0) 0.832
Laboratory data at diagnosis
 S-albumin, mg/dL (n = 28, n = 505) 2.6 [2.2–3.2] 2.6 [2.0–3.2] 2.6 [2.3–3.2] 0.357
 S-creatinine, mg/dL 0.87 [0.64–1.43] 0.89 [0.73–1.72] 0.87 [0.64–1.43] 0.483
 eGFR, ml/min/1.73 m2 55.5 [32.5–76.4] 54.0 [29.7–75.3] 55.6 [33.4–76.5] 0.608
 Hemoglobin, mg/dL (n = 29, n = 512) 10.4 [9.2–11.8] 10.6 [9.2–12.1] 10.4 [9.2–11.8] 0.451
 Neutrophil, /µL (n = 29, n = 507) 8,331 [5,817–11,920] 9,870 [5,099–11,690] 8,310 [5,840–11,920] 0.886
 Lymphocyte, /µL (n = 29, n = 507) 1,254 [930–1,690] 1,110 [800–1,645] 1,260 [939–1,692] 0.355
 Serum IgG, mg/dL (n = 27, n = 474) 1,627 [1,323–2,024] 1,669 [1,351–2,074] 1,623 [1,320–2,014] 0.714
 CRP, mg/dL (n = 29, n = 513) 8.2 [2.5–13.2] 7.6 [0.6–14.5] 8.2 [2.7–13.1] 0.585

Data are presented as median [IQR] or as n (%), unless otherwise indicated

ANCA Antineutrophil Cytoplasmic Antibody, BVAS Birmingham Vasculitis Activity Score, CRP C-Reactive Protein, eGFR Estimated Glomerular Filtration Rate, GFCR Glucocorticoid-Free Clinical Remission, GPA Granulomatosis with Polyangiitis, MPA Microscopic Polyangiitis, MPO Anti-Myeloperoxidase, PR3 Anti-Proteinase 3

For statistical analyses, *p < 0.05, **p < 0.01. p-value: Wilcoxon rank sum test, Fisher’s exact test

†Organ involvement was based on BVAS ≥ 1

In terms of treatment regimens and clinical outcomes up to week 48 (Table 2), patients who achieved GFCR by 48 weeks tended to have a lower initial GC dose compared to those who did not (35.0 [30.0–50.0] mg/day versus 40.0 [30.0–50.0] mg/day), but this difference was not statistically significant (p = 0.051). Furthermore, the daily GC doses at week 1 and subsequent time points (weeks 2, 4, 8, 12, 16, 20, 24, and 48) were significantly lower in patients who achieved GFCR.

Table 2.

Treatment details and outcomes (up to week 48) in patients with and without GFCR at week 48

All patients (n = 544) With GFCR (n = 29) Without GFCR
(n = 515)
p
Year in which remission induction therapy was initiated, n (%)
 2017–2018 196 (36.0) 13 (44.8) 183 (35.5) 0.325
 2019–2020 182 (33.5) 6 (20.7) 176 (34.2) 0.159
 2021–2023 166 (30.5) 10 (34.5) 156 (30.3) 0.680
Daily GC dose (prednisolone-equivalent) at each time point
 Initial dose, mg 40.0 [30.0–50.0] 35.0 [30.0–50.0] 40.0 [30.0–50.0] 0.051
 Initial dose, mg/kg (n = 28, n = 513) 0.82 [0.64–0.98] 0.69 [0.58–0.97] 0.83 [0.64–0.98] 0.123
 at week 1, mg 40.0 [30.0–50.0] 30.0 [27.5–50.0] 40.0 [30.0–50.0] 0.048*
 at week 2, mg 40.0 [30.0–45.0] 30.0 [15.0–40.0] 40.0 [30.0–45.0] 0.001**
 at week 4, mg 30.0 [25.0–40.0] 20.0 [7.5–30.0] 30.0 [25.0–40.0] < 0.001**
 at week 8, mg 20.0 [17.0–27.0] 15.0 [4.0–20.0] 20.0 [17.5–27.0] < 0.001**
 at week 12, mg 17.5 [12.5–20.0] 7.5 [2.0–15.0] 17.5 [12.5–20.0] < 0.001**
 at week 16, mg 15.0 [10.0–17.5] 5.0 [0–10.0] 15.0 [10.0–17.5] < 0.001**
 at week 20, mg 12.5 [9.0–15.0] 2.5 [0–7.3] 12.5 [10.0–15.0] < 0.001**
 at week 24, mg 10.0 [8.0–14.0] 1.0 [0–5.0] 10.0 [8.0–14.0] < 0.001**
 at week 48, mg 7.0 [5.0–9.0] 0 [0–0] 7.0 [5.0–10.0] < 0.001**
Treatment up to week 24
 Induction therapy (RTX/IVCYC)
  Both RTX and IVCYC, n (%) 19 (3.5) 0 (0) 19 (3.7) 0.616
  RTX without IVCYC, n (%) 142 (26.1) 18 (62.1) 124 (24.1) < 0.001**
  IVCYC without RTX, n (%) 198 (36.4) 4 (13.8) 194 (37.7) 0.009**
  Neither RTX nor IVCYC, n (%) 185 (34.0) 7 (24.1) 178 (34.6) 0.315
 Other immunosuppressive agents
  AZA, n (%) 182 (33.5) 5 (17.2) 177 (34.4) 0.068
  MMF, n (%) 11 (2.0) 0 (0) 11 (2.1) 1.000
  MTX, n (%) 20 (3.7) 1 (3.5) 19 (3.7) 1.000
  MZR, n (%) 20 (3.7) 2 (6.9) 18 (3.5) 0.289
 Adjunctive therapy
  Methylprednisolone pulse, n (%) 177 (32.5) 2 (6.9) 175 (34.0) 0.002**
  PLEX, n (%) 29 (5.3) 0 (0) 29 (5.6) 0.391
  Avacopan, n (%) 15 (2.8) 6 (20.7) 9 (1.8) < 0.001**
Treatment from weeks 24–48
 Maintenance therapy
  RTX, n (%) 71 (13.1) 7 (24.1) 64 (12.4) 0.085
  AZA, n (%) 222 (40.8) 7 (24.1) 215 (41.8) 0.079
  MMF, n (%) 24 (4.4) 1 (3.5) 23 (4.5) 1.000
  MTX, n (%) 29 (5.3) 1 (3.5) 28 (5.4) 1.000
  MZR, n (%) 30 (5.5) 1 (3.5) 29 (5.6) 1.000
 Adjunctive therapy
  Avacopan, n (%) 10 (1.8) 4 (13.8) 6 (1.2) 0.001**
Outcomes up to week 48
 Death, n (%) 0 (0) 0 (0) 0 (0) -
 Major relapse, n (%) 0 (0) 0 (0) 0 (0) -
 Minor relapse, n (%) 31 (5.7) 0 (0) 31 (6.0) 0.399
 Severe infection, n (%) 41 (7.5) 0 (0) 41 (8.0) 0.155
Renal outcomes through week 48 among patients with renal involvement at baseline (all patients, n = 383; with GFCR, n = 22; without GFCR, n = 361) †
 eGFR at baseline, ml/min/1.73 m2 (n = 22, n = 361) 44.3 [24.4–65.2] 37.2 [23.6–65.1] 45.0 [24.5–65.4] 0.737
 eGFR at week 4, ml/min/1.73 m2 (n = 22, n = 354) 44.3 [29.9–63.1] 40.7 [29.1–64.1] 44.4 [30.0–63.2] 0.916
 eGFR at week 12, ml/min/1.73 m2 (n = 22, n = 356) 46.0 [32.9–62.2] 44.2 [32.8–56.8] 46.2 [32.8–62.5] 0.838
 eGFR at week 24, ml/min/1.73 m2 (n = 22, n = 357) 44.6 [32.7–59.5] 41.5 [31.6–60.3] 44.8 [32.9–59.4] 0.682
 eGFR at week 48, ml/min/1.73 m2 (n = 22, n = 355) 44.8 [32.7–57.1] 45.9 [36.3–56.1] 44.7 [32.0–57.4] 0.692
 Changes in eGFR from baseline to week 48, ml/min/1.73 m² (n = 22, n = 355) −0.2 [− 11.3–9.1] 2.0 [− 6.1–10.9] −0.4 [− 11.8–9.0] 0.208
 Progression to end-stage kidney disease, n (%) ‡ 16 (4.2) 1 (4.6) 15 (4.2) 1.000

Data are presented as median [IQR] or as n (%), unless otherwise indicated

AZA Azathioprine, eGFR Estimated Glomerular Filtration Rate, GC Glucocorticoid, GFCR Glucocorticoid-Free Clinical Remission, IVCYC Intravenous Cyclophosphamide, MMF Mycophenolate Mofetil, MTX Methotrexate, MZR Mizoribine, PLEX Plasma Exchange, RTX Rituximab

For statistical analyses, *p < 0.05, **p < 0.01. p-value: Wilcoxon rank sum test, Fisher’s exact test

† Renal involvement was defined as BVAS renal item ≥ 1

‡End-stage kidney disease was defined as an eGFR < 15 mL/min/1.73 m² or permanent kidney replacement therapy (hemodialysis or peritoneal dialysis)

Regarding concomitant therapies within the first 24 weeks (Table 2), patients who achieved GFCR were significantly more likely to receive RTX without intravenous cyclophosphamide (IVCYC) (62.1% versus 24.1%; p < 0.001) and avacopan (20.7% versus 1.8%; p < 0.001). In contrast, these patients were significantly less likely to have received IVCYC without RTX (13.8% versus 37.7%; p = 0.009) or methylprednisolone pulse therapy (6.9% versus 34.0%; p = 0.002). The dosing of RTX and IVCYC per course was not significantly different between groups, but patients who achieved GFCR received RTX more frequently during induction and maintenance phases (Supplementary Table 2). The use of avacopan between weeks 24 and 48 was also more common among those who achieved GFCR (13.8% versus 1.2%; p = 0.001; Table 2).

The incidence of minor relapse and serious infection up to week 48 was comparable between groups. Among patients with renal involvement at baseline (n = 383), there were no significant differences between groups in terms of median eGFR at weeks 4, 12, 24, and 48, as well as changes in eGFR from baseline to week 48. Progression to end-stage kidney disease within 48 weeks was infrequent and comparable between both groups (Table 2).

Predictive factors associated with GFCR at 48 weeks

In the univariable regression analysis, the use of RTX for induction therapy and the use of avacopan within 48 weeks were found to be significantly associated with a higher likelihood of achieving GFCR at week 48 (RTX – OR: 5.16, 95% CI: 2.37–11.22, p < 0.001; avacopan – OR: 14.7, 95% CI: 4.8–44.7, p < 0.001). Conversely, the use of IVCYC and methylprednisolone pulse therapy was significantly associated with a lower likelihood of achieving GFCR (IVCYC – OR: 0.26, 95% CI: 0.09–0.77, p = 0.015; methylprednisolone pulse – OR: 0.14, 95% CI: 0.03–0.61, p = 0.009). Other demographic and clinical characteristics at baseline, including AAV subtype, ANCA status, BVAS, organ involvement, and laboratory parameters, were not significantly associated with GFCR (Table 3).

Table 3.

Results of univariable and multivariable logistic regression analyses for predictors of GFCR at week 48

Factors Univariable analysis Multivariable analysis,
model 1†
Multivariable analysis,
model 2‡
OR (95% CI) p OR (95% CI) p OR (95% CI) p
Age 1.00 (0.97–1.03) 0.798
Female 0.81 (0.38–1.71) 0.577
MPA 1.79 (0.67–4.79) 0.245
MPO-ANCA positive 4.26 (0.57–31.82) 0.158 3.82 (0.49–29.60) 0.199
BVAS 1.01 (0.96–1.06) 0.758
Organ involvement (BVAS ≥ 1) †
General 0.86 (0.39–1.90) 0.716
Cutaneous 1.35 (0.56–3.26) 0.499
Mucous Membranes or eyes 0.83 (0.24–2.81) 0.762
Ear, nose, and throat 1.12 (0.50–2.51) 0.791
Chest 1.33 (0.63–2.81) 0.458
Renal 1.34 (0.56–3.20) 0.510
Nervous system 0.86 (0.36–2.06) 0.736
Laboratory data at diagnosis
S-albumin, mg/dL 0.82 (0.46–1.46) 0.499
eGFR, ml/min/1.73 m2 1.00 (0.98–1.01) 0.582
CRP, mg/dL 0.98 (0.93–1.04) 0.545
Induction therapy up to 24 weeks
RTX without IVCYC 5.16 (2.37–11.22) < 0.001** 3.90 (1.52–10.00) 0.005** 3.47 (1.25–9.63) 0.017*
IVCYC without RTX 0.26 (0.09–0.77) 0.015* 0.61 (0.16–2.28) 0.462 0.66 (0.17–2.55) 0.548
Neither RTX nor IVCYC 0.60 (0.25–1.44) 0.253
Maintenance therapy from 24 to 48 weeks
RTX 2.24 (0.92–5.46) 0.075 1.18 (0.39–3.54) 0.768
AZA 0.44 (0.19–1.06) 0.067 0.67 (0.24–1.86) 0.446
Adjunctive therapy
Use of methylprednisolone pulse up to 24 weeks 0.14 (0.03–0.61) 0.009** 0.08 (0.02–0.44) 0.004** 0.08 (0.02–0.44) 0.004**
Use of avacopan up to 48 weeks 14.7 (4.8–44.7) < 0.001** 24.3 (5.8–101.9) < 0.001** 22.9 (5.3–98.1) < 0.001**

Logistic regression models were applied for univariable and multivariable analysis

†p-values are from model 1 of multivariable logistic regression including factors with p-values < 0.05 in univariable analysis

‡p-values are from model 2 of multivariable logistic regression including factors with p-values < 0.20 in univariable analysis

ANCA Antineutrophil Cytoplasmic Antibody, AZA Azathioprine, BVAS Birmingham Vasculitis Activity Score, CRP C-Reactive Protein, eGFR Estimated Glomerular Filtration Rate, IVCYC Intravenous Cyclophosphamide, MPA Microscopic Polyangiitis, MPO Anti-Myeloperoxidase, RTX Rituximab

For statistical analyses, *p < 0.05, **p < 0.01

Based on these results, the factors—use of RTX for induction therapy, avacopan, IVCYC, and methylprednisolone pulse therapy—were subjected to multivariable logistic regression analysis. The analysis revealed that the use of RTX for induction therapy and avacopan within 48 weeks was independently and significantly associated with achieving GFCR. In model 1, RTX use was associated with GFCR with an OR of 3.90 (95% CI: 1.52–10.00, p = 0.005), and avacopan use with an OR of 24.3 (95% CI: 5.8–101.9, p < 0.001). These associations remained robust in model 2 (RTX – OR: 3.47, 95% CI: 1.25–9.63, p = 0.017; avacopan – OR: 22.9, 95% CI: 5.3–98.1, p < 0.001). Methylprednisolone pulse therapy was also independently associated with a significantly lower likelihood of achieving GFCR in both models (model 1: OR: 0.08, 95% CI: 0.02–0.44, p = 0.004; model 2: OR: 0.08, 95% CI: 0.02–0.44, p = 0.004). IVCYC use, although significant in the univariable analysis, did not show a statistically significant association in the multivariable models (Table 3).

Figure 2 illustrates the distribution of patients achieving GFCR according to the use of RTX and avacopan. In patients who received RTX for induction therapy (Fig. 2a), GFCR was achieved in 37.5% of those who also received avacopan and in 12.7% of those who did not receive avacopan. Conversely, in patients who did not receive RTX (Fig. 2b), GFCR was achieved in 42.9% of those who received avacopan and in 2.0% of those who did not. These findings indicate that the use of avacopan was associated with higher GFCR rates regardless of RTX use, consistent with the associations identified in the regression analyses.

Fig. 2.

Fig. 2

Distribution pattern of GFCR at week 48 in study patients stratified by RTX induction therapy and avacopan use. a Patients who received RTX for induction therapy (n = 142) and b patients who did not (n = 402). Bars represent the proportion of patients achieving GFCR in each treatment group, defined by RTX use for induction therapy and avacopan use within 48 weeks: RTX + AVA+ (both agents), RTX + AVA− (RTX alone), RTX – AVA + (avacopan alone), and RTX – AVA − (neither agent). AVA Avacopan, GFCR Glucocorticoid-Free Clinical Remission, RTX Rituximab. For statistical analyses, *p < 0.05, **p < 0.01. p-value: Fisher’s exact test

To further validate these findings, a sensitivity analysis was performed using a matched cohort of 28 patients with GFCR and 81 without GFCR. Baseline characteristics were well balanced between the two groups (Supplementary Table 3). Consistent with the overall cohort, patients in the GFCR group of the matched cohort also had significantly lower cumulative GC doses through week 48, were more likely to have received RTX and avacopan, and were less likely to have received methylprednisolone pulse therapy (Supplementary Table 4). Likewise, in the matched cohort, both RTX and avacopan use were significantly associated with achieving GFCR in both the univariable and multivariable analyses, reinforcing the robustness of the main findings (Supplementary Table 5).

To explore potential residual confounding related to the choice of induction therapy, an exploratory restricted-cohort comparison was conducted between patients treated with RTX without IVCYC versus those treated with IVCYC without RTX. Patients who received both RTX and IVCYC, neither RTX nor IVCYC, methylprednisolone pulse therapy, PLEX, or avacopan were excluded. The two groups had broadly comparable baseline characteristics, although differences remained in the calendar year of induction therapy initiation and GC tapering patterns between groups (Supplementary Tables 6 and 7). This suggests the presence of residual confounding related to evolving treatment strategies.

Long-term clinical outcomes between weeks 48 and 96

In the main cohort, the rates of death and major relapse between weeks 48 and 96 were comparable between patients who did or did not achieve GFCR by week 48 (death: 3.5% versus 2.9%, p = 0.589; major relapse: 0% versus 1.2%, p = 1.000). However, patients who had achieved GFCR at week 48 were significantly more likely to maintain GFCR at week 96 compared to those who had not (58.6% versus 4.5%, p < 0.001). No other statistically significant differences were observed in the incidence of minor relapse or serious infections during this period (Fig. 3; Table 4). All serious infections occurred in patients who did not achieve GFCR; however, this finding did not reach statistical significance.

Fig. 3.

Fig. 3

Flowchart of patients according to GFCR status at week 48 and long-term clinical outcomes during weeks 48–96. GFCR Glucocorticoid-Free Clinical Remission

Table 4.

Long-term (weeks 48–96) clinical outcomes of study patients with and without GFCR at week 48

All patients ( n  = 544) With GFCR
( n  = 29)
Without GFCR
( n  = 515)
p
Discontinuation of follow-up between weeks 48 and 96 102 (18.8) 9 (31.0) 93 (18.1) 0.089
Death, n (%) 16 (2.9) 1 (3.5) 15 (2.9) 0.589
of which, due to vasculitis-worsening or infections, n (%) 8 (1.6) 0 (0) 8 (1.6) 1.000
Major relapse, n (%) 6 (1.1) 0 (0) 6 (1.2) 1.000
Lost to follow-up due to transfer, n (%) 18 (3.3) 3 (10.3) 15 (2.9) 0.065
Study period ended before completion of the 96-week follow-up, n (%) 62 (11.4) 5 (17.2) 57 (11.1) 0.360
Completed 96-week follow-up 442 (81.3) 20 (69.0) 422 (81.9) 0.089
GFCR at week 96 40 (7.4) 17 (58.6) 23 (4.5) < 0.001**
Daily GC dose at week 96, mg (N = 20, N = 422) 5.0 [3.0–7.0] 0 [0–0] 5.0 [4.0–7.0] < 0.001**
Minor relapse between weeks 48 and 96, n (%) 30 (5.5) 1 (3.5) 29 (5.6) 1.000
Serious infection between weeks 48 and 96, n (%) 19 (3.5) 0 (0) 19 (3.7) 0.616
Treatment between weeks 48 and 96
 RTX (maintenance), n (%) 80 (14.7) 11 (37.9) 69 (13.4) 0.001**
 AZA, n (%) 197 (36.2) 7 (24.1) 190 (36.9) 0.233
 MMF, n (%) 30 (5.5) 1 (3.5) 29 (5.6) 1.000
 MTX, n (%) 32 (5.9) 1 (3.5) 31 (6.0) 1.000
 MZR, n (%) 37 (6.8) 1 (3.5) 36 (7.0) 0.712
 Avacopan, n (%) † 20 (3.7) 4 (13.8) 16 (3.1) 0.017*

Data are presented as median [IQR] or as n (%), unless otherwise indicated

AZA Azathioprine, GFCR Glucocorticoid-Free Clinical Remission, MMF Mycophenolate Mofetil, MTX Methotrexate, MZR Mizoribine, RTX Rituximab

For statistical analyses, *p < 0.05, **p < 0.01. p-value: Wilcoxon rank sum test or Fisher’s exact test

† Among patients who received avacopan between weeks 48 and 96, avacopan was continued beyond week 48 in all 4 patients with GFCR and in 6 out of 16 patients without GFCR. Among those who continued avacopan, the median duration of treatment was 90.6 [61.0–93.6] weeks in patients with GFCR and 91.8 [75.8–95.4] weeks in those without GFCR

Maintenance therapies notably differed between groups. Patients who achieved GFCR at week 48 were more likely to receive RTX between weeks 48 and 96 (37.9% versus 13.4%, p = 0.001), and avacopan use during this period was also more frequent in the GFCR group (13.8% versus 3.1%, p = 0.017) (Table 4). Overall, only a few patients used avacopan between weeks 48 and 96, and this was continued beyond week 48 in all 4 patients with GFCR and in 6 out of 16 patients without GFCR, reflecting physician discretion in routine clinical practice. Among patients who continued avacopan beyond week 48, the median duration of treatment was approximately 90 weeks in both groups (Table 4).

Regarding long-term outcomes in the matched cohort, follow-up discontinuation between weeks 48 and 96 was more frequent in the GFCR group (32.1% versus 12.4%, p = 0.039); however, the incidence of death or major relapse did not vary significantly between the two groups (death: 3.6% versus 0%, p = 0.257; major relapse: 0% versus 0%). Consistent with the findings of the overall cohort, patients who had achieved GFCR at week 48 were significantly more likely to maintain GFCR at week 96 compared to those who had not (57.1% versus 4.9%, p < 0.001). The incidence of minor relapse and serious infections was also similar between the two groups (Supplementary Table 8).

Discussion

This multicenter study evaluated the rate of GFCR 48 weeks after treatment initiation, factors associated with achieving GFCR, and long-term clinical outcomes between weeks 48 and 96 in patients with newly diagnosed MPA and GPA. We observed that only 5.3% of patients achieved GFCR at week 48, highlighting the complexities hampering complete GC withdrawal within the first year of treatment. Unlike randomized controlled trials that have standardized protocols, GC tapering and discontinuation in clinical practice are individualized, and complete discontinuation within 1 year is not uniformly pursued, which may partly explain the low GFCR rate observed in our cohort despite the low relapse rates. The low GFCR rates also reflect the challenges in balancing effective disease suppression with curtailing GC exposure in clinical practice. Our findings provide important insights into treatment strategies to facilitate early GC tapering and sustained disease control in clinical settings.

In the multivariable analysis, both induction therapy with RTX and the use of avacopan within 48 weeks were independently associated with achieving GFCR at week 48. To date, two pivotal randomized controlled trials—RAVE [16] and RITUXVAS [17]—have compared RTX use with IVCYC as induction therapy in AAV. These studies demonstrated that RTX was non-inferior to IVCYC in terms of achieving remission at both 6 and 12 months post-induction; however, because both arms of these trials followed the same GC tapering protocol, it remains unclear whether RTX facilitates GC tapering more effectively than IVCYC. More recently, the LoVAS [10] and RITAZAREM [18] trials demonstrated that RTX use with a reduced-dose GC regimen was comparable to RTX with a high-dose GC regimen in terms of remission rates, supporting the use of RTX as an effective induction agent even when combined with reduced GC regimens. In addition, avacopan, a selective C5a receptor antagonist, offers a GC-sparing approach to inflammation control by blocking complement-mediated neutrophil activation [19, 20]. In the ADVOCATE trial [11], avacopan was shown to be non-inferior to a standard-dose prednisolone for inducing remission at week 26 and superior for maintaining sustained remission at week 52. Our findings corroborate the GC-sparing efficacy of RTX and avacopan in clinical settings, but this association should be interpreted cautiously. In our exploratory analysis comparing patients treated with RTX without IVCYC versus those treated with IVCYC without RTX, there remained differences in calendar year of treatment initiation, suggesting that recent treatment strategies focusing on rapid GC tapering may have contributed to the observed association (Supplementary Tables 6 and 7). The rate of GC tapering was slower in patients who achieved GFCR versus those in the reduced-dose GC arm of the LoVAS trial [10], which could be attributed to the inclusion of patients with severe organ-threatening involvement and the absence of protocolized GC tapering in routine clinical practice. Notably, no demographic or disease-related variables, including age, sex, AAV subtype, ANCA status, BVAS, and organ involvement, were found to predict the achievement of GFCR. This finding highlights how treatment strategy is more crucial than baseline disease characteristics in achieving successful GC withdrawal.

In contrast, methylprednisolone pulse therapy was found to be an independent negative predictor of achieving GFCR at week 48. Patients who received methylprednisolone pulse therapy had higher BVAS, more pulmonary and renal involvement, and worse renal function at diagnosis (Supplementary Table 9). Furthermore, these patients were more likely to require intensive therapies, such as IVCYC or PLEX, and underwent slower GC tapering (Supplementary Table 10). The association between methylprednisolone pulse therapy use and a lower likelihood of GFCR may partly reflect confounding by indication, in which methylprednisolone pulse therapy is preferentially used for patients with more severe disease, along with other treatment protocols that prolong GC exposure. This negative association persisted even in the matched cohort even after balancing BVAS and other key baseline characteristics. This suggests the difficulty of fully adjusting for acute, organ-threatening features that prompt pulse therapy, many of which were not entirely captured by matching variables, resulting in residual confounding.

Although not identified as an independent predictor on multivariable analysis, treatment during the maintenance phase (weeks 24–48) may also influence GFCR at week 48. In our study, patients who achieved GFCR more frequently received RTX as maintenance therapy and less frequently received azathioprine. Although these differences were not statistically significant, this trend favoring RTX over azathioprine for maintenance therapy is consistent with previous randomized controlled trials. Both the MAINRITSAN and RITAZAREM trials [21, 22] demonstrated lower relapse rates with RTX compared to azathioprine in the maintenance phase under standardized GC tapering. Furthermore, a pooled analysis from the MAINRITSAN studies [23] showed that patients treated with RTX had significantly lower cumulative GC doses, suggesting that RTX better supports GC tapering during the maintenance phase and can facilitate transition to GFCR status. Likewise, GFCR at week 96 may be influenced by maintenance therapy during weeks 48–96. In our cohort, patients who achieved GFCR at week 48 were more likely to receive RTX and avacopan between weeks 48 and 96, suggesting that sustained GFCR may have been influenced by more intensive maintenance strategies. Therefore, while early GFCR at week 48 primarily reflects the effectiveness of induction therapies, maintenance therapy likely contributed to long-term GFCR beyond 1 year.

Overall, our results highlight the importance of individualized immunosuppressive strategies incorporating RTX and avacopan to enable earlier and sustained GC tapering without compromising disease control. Furthermore, despite the small number of events, no serious infections occurred among patients who achieved GFCR during follow-up, underlining the importance of minimizing GC exposure. However, this study has several limitations. First, its retrospective design introduces potential bias due to unmeasured confounding, including indication bias in treatment selection. This is because treatment strategies, such as the choice and timing of immunosuppressive agents and GC tapering schedules, were not standardized across centers. In addition, avacopan use itself may have influenced physicians’ willingness to pursue more proactive GC tapering, potentially contributing to the higher GFCR rates independent of the pharmacologic effect of avacopan. Second, the number of patients who achieved GFCR was relatively small (5.3% of the overall cohort), limiting the statistical power of our results to identify additional predictors. To address this, we performed a sensitivity analysis using a matched cohort based on key baseline characteristics; the analysis corroborated our results from the main cohort, supporting the robustness of our findings. Third, patients with < 48 weeks of follow-up were excluded from the main analysis; it is noteworthy that these patients tended to have more severe disease activity and worse general condition at baseline, which may have introduced selection bias. However, because the primary outcome was defined as GFCR at week 48, their exclusion was methodologically necessary. Additional analysis including these patients has been provided for transparency (Supplementary Table 1). Fourth, since the analyses focused on early GFCR at week 48, we did not evaluate the predictors of longer-term GFCR beyond 1 year, which may be more strongly influenced by maintenance therapy. Finally, although it was a multicenter study, the patient population was based in Japan, limiting the generalizability of our findings to populations with similar demographic and disease characteristics. Prospective validation in broader cohorts is warranted.

Conclusions

Our multicenter cohort study identified the use of RTX for induction therapy and the use of avacopan within 48 weeks of treatment initiation as independent predictors of achieving GFCR at week 48 in patients with newly diagnosed MPA or GPA. These findings support the feasibility of GC-sparing strategies in AAV and highlight the potential of RTX and avacopan as key treatment components facilitating GFCR. Future prospective studies are needed to validate these results and optimize treatment algorithms for achieving disease control while minimizing GC-related toxicity.

Supplementary Information

Supplementary Material 1. (21.8KB, docx)
Supplementary Material 2. (21.2KB, docx)
Supplementary Material 3. (21.5KB, docx)
Supplementary Material 4. (24.6KB, docx)
Supplementary Material 5. (21.9KB, docx)
Supplementary Material 6. (24.7KB, docx)
Supplementary Material 7. (23.4KB, docx)
Supplementary Material 8. (19.6KB, docx)
Supplementary Material 9. (22.7KB, docx)

Acknowledgements

We are thankful to Enago (www.enago.jp) for providing an English language review.

Abbreviations

ANCA

Antineutrophil cytoplasmic antibody

AAV

ANCA-associated vasculitis

MPA

Microscopic polyangiitis

GPA

Granulomatosis with polyangiitis

EGPA

Eosinophilic granulomatosis with polyangiitis

GC

Glucocorticoid

RTX

Rituximab

CYC

Cyclophosphamide

GFCR

GC-free clinical remission

J-CANVAS

The Japan Collaborative Registry of ANCA-Associated Vasculitis

CRP

C-reactive protein

MPO

Myeloperoxidase

PR3

Proteinase 3

BVAS

Birmingham Vasculitis Activity Score

PLEX

Plasma exchange

CR

Clinical remission

IVCYC

Intravenous cyclophosphamide

Authors’ contributions

YU and HD designed the study and analyzed the data. YU drafted the manuscript. RW, HS, KS, and HD revised the manuscript. SO, DN, YA, MW, NT, AN, YKu, NK, HT, KE, SH, NA, TT, SF, KK, RY, YMa, YS, RN, RO, TTa, MM, AT, YMi, TS, Takafumi Ito, IM, TTd, Toshiko Ito-Ihara, TKi, NY, TKa, and YKa assisted in data collection. All authors have read and approved the final manuscript.

Funding

None of the authors received any funding, and no funding was provided for the preparation of this manuscript.

Data availability

The datasets used and/or analyzed in this study can be obtained from the corresponding author upon reasonable request.

Declarations

Ethics approval and consent to participate

This study was approved by the Ethics Committee of the Faculty of Medicine, Kagawa University (approval number: 2025-067), and was conducted in accordance with the principles of the Declaration of Helsinki. The Ethics Committee of the Faculty of Medicine at Kagawa University waived the need for written informed consent due to the retrospective nature of the study.

Consent for publication

Not applicable.

Competing interests

SO has received honoraria for speakers bureaus from Janssen, UCB Japan, and Chugai. DN has received honoraria for speakers bureaus from AbbVie, Asahi Kasei, Eisai, and Taisho. SH has received research grants and honoraria for speakers bureaus from AbbVie, Asahi Kasei, Astellas, AstraZeneca, Ayumi, Boehringer Ingelheim, Bristol-Myers Squibb, Chugai, Daiichi Sankyo, Eisai, Eli Lilly, Gilead, GlaxoSmithKline, Janssen, Mitsubishi Tanabe, Nihon Shinyaku, Novartis, Otsuka, Pfizer, Taisho, and UCB Japan. NA has received research grants from Asahi Kasei and Chugai, and honoraria for speakers bureaus from Eli Lilly. MM has received honoraria for speakers bureaus from Asahi Kasei, Astellas, Ayumi, Eisai, Eli Lilly, Taisho, and Mitsubishi Tanabe. ToI has received honoraria for speakers bureaus from Kissei. YKa has received research grants and honoraria for speakers bureaus from Asahi Kasei, Ayumi, Chugai, Kissei, Novartis, and Pfizer. The other authors declare that they have no competing interests.

Footnotes

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Material 1. (21.8KB, docx)
Supplementary Material 2. (21.2KB, docx)
Supplementary Material 3. (21.5KB, docx)
Supplementary Material 4. (24.6KB, docx)
Supplementary Material 5. (21.9KB, docx)
Supplementary Material 6. (24.7KB, docx)
Supplementary Material 7. (23.4KB, docx)
Supplementary Material 8. (19.6KB, docx)
Supplementary Material 9. (22.7KB, docx)

Data Availability Statement

The datasets used and/or analyzed in this study can be obtained from the corresponding author upon reasonable request.


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