Abstract
Objectives:
ANCA-vasculitis (AAV) patients frequently suffer from relapses and risk subsequent organ damage. There is much debate on the value of serial ANCA level evaluation to monitor disease activity. We aimed to evaluate the association between ANCA rises and disease relapses at (I) moment of the rise, (II) within 6 months or (III) within a year from the rise.
Methods:
3 databases (MEDLINE, EMBASE, COCHRANE) were searched from 1993 through September 2021. We included studies that reported relapse incidence within 12 months after an ANCA rise measured by antigen-specific immunoassays in peripheral blood of AAV patients in remission. Quality assessment was performed using QUADAS-2. Finally, a meta-analysis was carried out to estimate average OR using a random effects model.
Results:
Twenty unique studies were included. The methodological quality was limited due to risk of selection bias. An ANCA rise often preceded a disease relapse within 6 months (OR 3.65, 95% CI 1.66–8.03) and less often within 12 months (OR 2.88, 95% CI 1.21–6.88), while it was not indicative of a concurrent relapse (OR 0.13, 95% CI 0.03–0.53). Once a relapse is diagnosed, ANCA is significantly more often present than not (OR 10.80, 95% CI 3.82–30.55). As expected based on clinical, technical and methodological variability between studies, there was substantial heterogeneity across studies in all analyses (I2 = 70–87%).
Conclusion:
In previously ANCA-positive patients, the ANCA test is often positive upon clinical suspicion of a disease relapse. Patients with a rise in ANCA are at risk of encountering disease relapses in the upcoming 6 or 12 months.

Key Messages
ANCA rises often precede disease relapses in the upcoming 6 or 12 months.
In previously ANCA-positive patients, the ANCA test is often positive upon clinical suspicion of a disease relapse.
Introduction
ANCA-associated vasculitis (AAV) refers to a group of vasculitides associated with the presence of antineutrophil cytoplasmic antibodies (ANCA). AAV comprises the clinical diagnoses of granulomatosis with polyangiitis (GPA), microscopic polyangiitis (MPA) and eosinophilic granulomatosis with polyangiitis (EGPA). Although survival has improved over the past decades, mortality remains significantly increased, especially in patients with renal involvement (, ). Optimal treatment of AAV is challenging as the disease course is unpredictable. Some patients will experience relapses (after cessation of therapy) while others will not. Relapses induce and accelerate further organ damage, which is shown by the association between renal relapses and the incidence of end-stage kidney disease (ESRD) (). Therefore, there is a pressing need for accurate biomarkers to monitor and predict disease activity in patients (, ). ANCA target predominantly proteinase-3 (PR3) and myeloperoxidase (MPO), both cytoplasmic components of neutrophils and monocytes. ANCA are being used extensively in diagnosing AAV, and are usually measured using immunoassays such as enzyme linked immunosorbent assays (ELISA) selectively measuring PR3- or MPO- antibodies. Although the place of ANCA testing in the diagnostic workup of AAV is undisputed, heterogeneous results have been obtained when investigating the predictive value of ANCA rises (, ). This heterogeneity is the result of clinical, technical and methodological factors that influence the correlation between ANCA rises and relapses. The disease severity of included patients, presence of renal involvement and persistence of ANCA positivity differs between cohorts (). Technical and methodological factors comprise differences in sampling intervals, the use of both indirect immunofluorescence (IIF) and ELISA methods, and unclear chronological relations between ANCA changes and relapses. As a result, it remains unclear what ANCA rises mean when measured during remission, whether they precede subsequent relapses and/or if disease relapses are associated with positive ANCA levels.
Over the years the use of ELISA to primarily detect ANCA has increased and has resulted in an international consensus to use immunoassays as primary screening method, without the categorical need for IIF (). A systematic review supported this notion and determined that especially the sensitivity of ANCA detection considerably increases with the use of immunoassays (). The question whether an increase in ANCA levels leads to an increase in disease activity within a clinically relevant timeframe (e.g. within 6 months) remains open.
This systematic review provides a comprehensive literature search, followed by quality assessments and meta-analysis to explore whether ANCA level increases as measured by antigen-specific immunoassays associate with disease relapses at moment of the rise, within 6 months of the rise or within a year from the rise.
Methods
Literature Search Strategy
For this systematic review and meta-analysis, MEDLINE, EMBASE and COCHRANE were searched by two investigators (AA, MH) for 1) articles on ANCA measurements predicting relapse and 2) diagnosing disease activity in ANCA associated vasculitis (AAV). No restrictions were selected for publication date (inception to September 2021) and/or language. Articles were filtered on studies performed in humans. A combination of MeSH terms (Antibodies, Antineutrophil Cytoplasmic, Recurrence) and title + abstract (tiab) terms (ANCA, relapse, biomarker, disease activity) was used to identify relevant articles (Supplementary Table S1). Cross-references from reference lists of found studies and similar articles from PubMed were reviewed as well.
Study Selection
Found articles (last search on 01-09-2021) were screened on title and abstract by AA, MH and PLK independently. After title and abstract screening, selected studies were reviewed for final inclusion or exclusion (Figure 1). Inclusion criteria consisted of the use of antigen-specific immunoassays, a timeframe from measurement to relapse of a maximum of 12 months and a definition for a rise as either negative to positive conversion or a ANCA level increase. When patient cohort(s) were used in multiple studies, only one study was included. Since the majority of studies are performed using ELISA, we selected ELISA studies over alternative solid-phase immunoassays (such as FEIA) to increase the comparability between studies. No disagreements on study inclusion were found. In case of missing crucial data elements to calculate sensitivity, specificity and subsequent measures such as odds ratios, the study was excluded.
Figure 1
Data Collection
Data extraction was performed by AA and YV independently. Name of first author, year of publication, study type, number of included patients, percentage of renal involvement, used immunoassay, definition of ANCA rise, and sampling interval were extracted. The slope of ANCA increase (%/month) was calculated by dividing the percentage of ANCA increase by the longest sampling interval. Studies were further separated on type of ANCA (PR3, MPO or pooled), time to relapse (rise during relapse, 1–6 months or 6–12 months), and the definition of a rise. From several studies we obtained data regarding ANCA rises during a relapse and prior to a relapse. From all selected studies the total number of relapses and total number of patients were extracted and four groups were created (rise+relapse+, rise-relapse+, rise+relapse-, rise-relapse-).
Quality Assessment
All included studies were assessed independently by AA and YV using the Quality Assessment Tool for Diagnostic Accuracy (QUADAS-2), in accordance with systematic review recommendations (
Statistical Analysis
To study ANCA positivity or rise during a relapse, odds ratios were calculated by dividing the odds of having a clinical flare accompanied by a positive or rising ANCA test, divided by the odds of having a clinical flare accompanied by a negative or stable ANCA test. To study relapses following ANCA rises, odds ratios were calculated by dividing the odds of having an ANCA rise in 6 or 12 months before a clinical flare is diagnosed, divided by the odds of having an ANCA rise without the presence of a clinical flare in the following months. Finally, a meta-analysis based on the odds ratio was performed to estimate the odds of having a relapse when ANCA rises as opposed to a non-ANCA-rise. A random effects model was used and 95% confidence intervals (CI) were calculated. Four meta-analyses were performed: ANCA positivity during a relapse, having a relapse when ANCA rises, having a relapse within 6 months of an ANCA rise and having a relapse within 12 months of an ANCA rise. Statistical heterogeneity was assessed by Chi-squared test (Chi2) and between-study inconsistency was quantified by the I2 statistic. In subsequent analyses, studies were pooled based on whether they were PR3-ANCA-only, MPO-ANCA-only or pooled ANCA. Forest plots were generated using Review Manager 5.4 software.
Results
Final Study Selection and Characteristics
The literature search provided 806 results. These included all articles found in the last known meta-analysis on this subject from 2012(
Table 1
| ANCA Rise | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Study | Type | Pat. (n) | Renal involv (%) | Immuno assay | Coating | Dil. | Anca type | Level↑ (%) | Slope (%/m) | -/+ Convers. | Interval (m) |
| Ara et al. ( | Cohort (→) | 25 | 100 | D-ELISA | Hn | 1/100 | MPO | NA | NA | Yes | 3 |
| Boomsma et al. ( | Cohort (→) | 100 | NA | D-ELISA | Hn | PR3: 1/100 1/300 MPO: 1/60 1/180 | Both* | 175 (ROC) | 87.5 | NA | 2 |
| Damoiseaux et al. ( | Case-control (←) | 46 | NA | C-ELISA | Hn | 1/100 | PR3 | 200 (ROC) | 66.7 | NA | 3 |
| De'Oliveira et al. ( | Cohort (←) | 56 | NA | D-ELISA | Hn | NS | Comb. | 120 | 40 | Yes | 2–3 |
| Dolman et al. ( | Case-control (←) | 8 | NA | C-ELISA | Hn | 1/100 | PR3 | 200 | 200 | NA | 1 |
| Finkielman et al. ( | Cohort (→) | 101 | 54 | C-ELISA | NS | NS | PR3 | 200 | 33.3 | NA | 2–6 |
| Fussner et al. ( | RCT (→) | 131 | 65 | C-ELISA | NS | NS | PR3 | 200 | 33.3 | Yes | 0.25–6 |
| Han et al. ( | Cohort (←) | 48 | NA | D-ELISA | NS | NS | Comb. | 400 | 133.3 | NA | 2–3 |
| Jayne et al. ( | Cohort (→) | 60 | 60 | D-ELISA | Hn | 1/50 | Comb. | 130 | 130 | Yes | 1 |
| Jones et al. ( | RCT (→) | 29 | 100 | ELISA | NS | NS | Comb. | NA | NA | Yes | 6 |
| Kemna et al. ( | Cohort (←) | 166 | 63 | D-ELISA + FEIA | Hn | 1/50 | Comb. | 233 (ROC) | 78 | Yes | 3 |
| Lurati-Ruiz et al. ( | Cohort (←) | 36 | 72 | ELISA | NS | NS | Comb. | 200 | NA | NA | NA |
| McClure et al. ( | Cohort (←) | 57 | 37 | C-ELISA | NS | NS | PR3 | 200 | 33.33 | Yes | 3–6 |
| Miloslavsky et al. ( | RCT (→) | 170 | 66 | D-ELISA | Hn and Hr | 1/100 | Comb. | 200 | 100 | Yes | 0.25–2 |
| Nowack et al. ( | Cohort (←) | 18 | 78 | C-ELISA | Hn | 1/100 | PR3 | 150 | 100 | NA | 0.5–1.5 |
| Segelmark et al. ( | Case-control (←) | 14 | 70 | C-ELISA | Hn | 1/80 | PR3 | 150 | NA | NA | Not serial |
| Specks et al. ( | RCT (→) | 197 | 66 | D-ELISA | Hn and Hr | 1/100 | Comb. | 200 | 66.7 | Yes | 0.25–3 |
| Terrier et al. ( | Cohort (←) | 38 | 50 | ELISA | NS | 1/20 | MPO | NA | NA | Yes | NA |
| Watanabe et al. ( | Cohort (→) | 195 | 78 | FEIA, CLIA, ELISAs | NS | NS | MPO | NA | NA | Yes | 3–6 |
| Yamaguchi et al. ( | Cohort (→) | 118 | 100 | ELISA | Hn | 1/500 or 1/101 | MPO | 200 | 200 | Yes | 1 |
Overview of included studies.
→ , prospective; ←,retrospective; Pat., number of patients included in analysis; involv., involvement; * = only data on PR3 at 6 months; NS, not specified; NA, not annotated in study; Simult. Relapse, relapse and ANCA measurement done at the same time; 6 m, relapse follows an ANCA rise within 6 months; 12m, Relapse follows an ANCA rise within 12 months; D, direct ELISA; C, Capture ELISA; FEIA, fluorescent-enzyme immuno-assay; CLIA, Chemiluminescence immunoassay; Hn, human native; Hr, human recombinant. Dil., dilution; Both, PR3 and MPO are investigated separately in study; Comb., Combined, no distinction is made between ANCA subtype in study; Level ↑, ANCA level increase in %; -/+ Convers., negative to positive conversion; ROC, ANCA rise is defined using a slope of ANCA level change and subsequent ROC analyses; m, month; Interval, sampling interval.
Quality Assessment of Selected Studies
A risk of bias inventory was made and schematically overviewed for each of the conditions (Supplementary Tables S3–5). Reasons for scoring risk of bias are annotated (Supplementary Tables S6, S7).
What Is the ANCA Status When a Relapse Is Diagnosed?
Eight studies investigated the moment of relapse and tested for the positivity of ANCA after patients had been in remission prior (
Figure 2

Meta-analysis summarizing the data regarding ANCA positivity once a relapse is diagnosed. Odds ratio with 95% confidence interval is displayed in the forest plot.
What Does a Rise in ANCA Indicate?
ANCA is often used to monitor AAV patients, even though fluctuations are common during follow-up. We reviewed the literature to understand whether a concurrent ANCA rise indicates a disease relapse or might associate with disease relapses in the future. Six studies investigated whether an ANCA rise is simultaneously associated with a disease relapse (
Figure 3

Meta-analysis summarizing the data regarding having a relapse when ANCA increases. Odds ratio with 95% confidence interval is displayed in the forest plot.
Do ANCA Increases Precede Future Disease Relapses?
ANCA increases could be indicative of an ongoing or starting inflammatory process that could indicate future relapses. We set out to investigate, within clinically relevant time frames, if this was the case. Eight studies investigating ANCA rises with subsequent relapse within 6 months of the rise are included in the meta-analysis (
Figure 4

Meta-analysis summarizing the data regarding having a relapse within 6 months of an ANCA increase. Odds ratio with 95% confidence interval is displayed in the forest plot.
De'Oliveira et al. (
Ten studies investigated ANCA rises with subsequent relapses within 12 months of the rise (
Figure 5

Meta-analysis summarizing the data regarding having a relapse within 12 months of an ANCA increase. Odds ratio with 95% confidence interval is displayed in the forest plot.
Differences Between PR3-ANCA and MPO-ANCA Positive Patients
In previous analyses PR3-ANCA and MPO-ANCA patients were pooled. To extrapolate our findings to patient groups, it would be of interest to understand whether disease relapses are predicted more accurately by changes in one of the two ANCA types. Within 6 months of a ANCA rise, Yamaguchi et al. (
At 12 months, Boomsma et al. (
Discussion
The use of serial serum ANCA level evaluation during remission is questionable and varies in daily clinical practice. In this systematic review and meta-analysis we demonstrate that during follow-up of AAV patients who are in remission, an ANCA rise often preceded a disease relapse within 6 months and to a lower extent within 12 months, while an increase in ANCA level is not indicative of an ongoing relapse. Once a relapse is diagnosed, ANCA is significantly more often present than not. In further follow-up of patients, MPO-ANCA increases were more significantly associated with future disease relapses than PR3-ANCA increases.
The complexity of ANCA level evaluation has frequently been discussed and is influenced by many factors, such as disease severity, follow-up, treatment and variation in ANCA test methods (
The variable association between ANCA and relapses could also be explained by modulation of immune responses on a tissue level. While it is known that ANCA activate the innate immune system leading to necroinflammation and endothelial cell damage (35, 36), disease manifestations are not always present in patients with elevated ANCA levels. Therefore, we speculate that the autoimmune cascade induced by ANCA is counterbalanced by mechanisms that attempt to maintain homeostasis. For example, serum anti-inflammatory cytokine IL-10 levels are increased in ANCA patients (
Results of this meta-analysis extend our knowledge of the utility of ANCA level evaluation and are consistent with a previous systematic review (
Yet, weaknesses in our systematic review may have also arisen from the choice to include all types of study designs. The patients, methods and techniques used in the included studies were diverse, leading to statistical heterogeneity. The study of Kemna et al. (
What do our results mean for clinical practice? In case of a disease relapse the ANCA is likely to be positive, similar to the situation at time of AAV diagnosis. Therefore, in case of a negative ANCA test, alternative diagnoses should logically be considered. Second, an ANCA rise is not necessarily related to a concurrent relapse, but patients are more likely to experience a disease relapse in the 6 months following an ANCA increase. These results provide further support to monitor patients with an ANCA rise more closely and raise the question if patients should be treated pre-emptively to prevent a potential disease relapse with subsequent organ damage. On the other hand, over half of the patients with an ANCA rise do not experience a relapse within a year, and these patients risk complications of overtreatment such as infections. Starting or escalating immunosuppressive treatment could be beneficial for high-risk patients. This is confirmed in a small randomized trial which showed that there were significantly fewer major relapses in the group that was pre-emptively treated with high dose cyclophosphamide and prednisolone after an ANCA rise (41). In addition, two retrospective cohorts found a significant reduction in the incidence of relapses in patients in whom maintenance therapy was intensified (
Conclusion
Although an AAV relapse is associated with positive ANCA, rises in ANCA level are not indicative of a concurrent disease relapse. However, ANCA increases do associate significantly with higher odds of having a disease relapse within the first 6 and 12 months after measurement. This association is strongest in MPO-ANCA positive patients and loses significance in PR3-ANCA positive patients. Our meta-analysis confirms that in previously ANCA-positive patients, the ANCA test is often positive upon clinical suspicion of a disease relapse and an increasing ANCA may be helpful to identify patients that are more at risk of encountering disease relapses in the upcoming 6 or 12 months, and for whom pre-emptive treatment could be a realistic possibility.
Funding
This work was supported by the Dutch Kidney Foundation [Grant number 19OK007 to MH and YV] and ZonMW [VENI grant number 91617058 to PK].
Publisher's Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Statements
Author contributions
AA and MH set up the literature search strategy and performed the search. Study selection was performed by AA, MH, and PK. The quality of studies was assessed, data extraction, and data analysis was performed by AA and YV. All authors contributed in writing the manuscript and approved the final manuscript.
Acknowledgments
Graphical abstract was created with BioRender.com.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmed.2022.844112/full#supplementary-material
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Summary
Keywords
ANCA-associated vasculitis (AAV), anti-neutrophil cytoplasmic antibodies (ANCA), biomarker (BM), relapse, flare
Citation
Al-Soudi A, Vegting Y, Klarenbeek PL and Hilhorst ML (2022) Do Relapses Follow ANCA Rises? A Systematic Review and Meta-Analysis on the Value of Serial ANCA Level Evaluation. Front. Med. 9:844112. doi: 10.3389/fmed.2022.844112
Received
27 December 2021
Accepted
10 June 2022
Published
04 July 2022
Volume
9 - 2022
Edited by
Gian Marco Ghiggeri, Giannina Gaslini Institute (IRCCS), Italy
Reviewed by
Augusto Vaglio, University of Parma, Italy; Jan Willem Cohen Tervaert, University of Alberta, Canada; Nobuyuki Ono, Kyushu University, Japan
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Copyright
© 2022 Al-Soudi, Vegting, Klarenbeek and Hilhorst.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Marc L. Hilhorst m.l.hilhorst@amsterdamumc.nl
†These authors have contributed equally to this work and share first authorship
This article was submitted to Nephrology, a section of the journal Frontiers in Medicine
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