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ANCA-associated glomerulonephritis : Risk factors for renal relapse

Göçeroǧlu, Arda ; Berden, Annelies E. ; Fiocco, Marta ; Flobmann, Oliver ; Westman, Kerstin W. LU ; Ferrario, Franco ; Gaskin, Gill ; Pusey, Charles D. ; Hagen, E. Christiaan and Noë, Laure Hélène , et al. (2016) In PLoS ONE 11(12).
Abstract

Relapse in ANCA-associated vasculitis (AAV) has been studied previously, but there are few studies on renal relapse in particular. Identifying patients at high risk of renal relapse may aid in optimizing clinical management. We investigated which clinical and histological parameters are risk factors for renal relapse in ANCA-associated glomerulonephritis (AAGN). Patients (n = 174) were newly diagnosed and had mild±moderate or severe renal involvement. Data were derived from two trials of the European Vasculitis Society: MEPEX and CYCAZAREM. The Cox regression model was used to identify parameters increasing the instantaneous risk (= rate) of renal relapse (useful for instant clinical decisions). For identifying predictors of renal... (More)

Relapse in ANCA-associated vasculitis (AAV) has been studied previously, but there are few studies on renal relapse in particular. Identifying patients at high risk of renal relapse may aid in optimizing clinical management. We investigated which clinical and histological parameters are risk factors for renal relapse in ANCA-associated glomerulonephritis (AAGN). Patients (n = 174) were newly diagnosed and had mild±moderate or severe renal involvement. Data were derived from two trials of the European Vasculitis Society: MEPEX and CYCAZAREM. The Cox regression model was used to identify parameters increasing the instantaneous risk (= rate) of renal relapse (useful for instant clinical decisions). For identifying predictors of renal relapse during follow-up, we used Fine & Gray's regression model. Competing events were end-stage renal failure and death. The cumulative incidence of renal relapse at 5 years was 9.5% (95% CI: 4.8±14.3%). In the Cox model, sclerotic class AAGN increased the instantaneous risk of renal relapse. In Fine & Gray's model, the absence of interstitial infiltrates at diagnosis was predictive for renal relapse. In this study we used two different models to identify possible relationships between clinical and histopathological parameters at time of diagnosis of AAV with the risk of experiencing renal relapse. Sclerotic class AAGN increased the instantaneous risk of renal relapse. This association is most likely due to the high proportion of sclerosed glomeruli reducing the compensatory capacity. The absence of interstitial infiltrates increased the risk of renal relapse which is a warning sign that patients with a relatively benign onset of disease may also be prone to renal relapse. Renal relapses occurring in patients with sclerotic class AAGN and renal relapses occurring in patients without interstitial infiltrates were mutually exclusive, which may indicate that they are essentially different.

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type
Contribution to journal
publication status
published
subject
in
PLoS ONE
volume
11
issue
12
article number
e0165402
publisher
Public Library of Science (PLoS)
external identifiers
  • scopus:85006127150
  • pmid:27973575
  • wos:000392754300003
ISSN
1932-6203
DOI
10.1371/journal.pone.0165402
language
English
LU publication?
yes
id
8982242e-ae43-4094-ab88-14b2e74a0f31
date added to LUP
2016-12-28 16:24:10
date last changed
2024-01-04 19:51:25
@article{8982242e-ae43-4094-ab88-14b2e74a0f31,
  abstract     = {{<p>Relapse in ANCA-associated vasculitis (AAV) has been studied previously, but there are few studies on renal relapse in particular. Identifying patients at high risk of renal relapse may aid in optimizing clinical management. We investigated which clinical and histological parameters are risk factors for renal relapse in ANCA-associated glomerulonephritis (AAGN). Patients (n = 174) were newly diagnosed and had mild±moderate or severe renal involvement. Data were derived from two trials of the European Vasculitis Society: MEPEX and CYCAZAREM. The Cox regression model was used to identify parameters increasing the instantaneous risk (= rate) of renal relapse (useful for instant clinical decisions). For identifying predictors of renal relapse during follow-up, we used Fine &amp; Gray's regression model. Competing events were end-stage renal failure and death. The cumulative incidence of renal relapse at 5 years was 9.5% (95% CI: 4.8±14.3%). In the Cox model, sclerotic class AAGN increased the instantaneous risk of renal relapse. In Fine &amp; Gray's model, the absence of interstitial infiltrates at diagnosis was predictive for renal relapse. In this study we used two different models to identify possible relationships between clinical and histopathological parameters at time of diagnosis of AAV with the risk of experiencing renal relapse. Sclerotic class AAGN increased the instantaneous risk of renal relapse. This association is most likely due to the high proportion of sclerosed glomeruli reducing the compensatory capacity. The absence of interstitial infiltrates increased the risk of renal relapse which is a warning sign that patients with a relatively benign onset of disease may also be prone to renal relapse. Renal relapses occurring in patients with sclerotic class AAGN and renal relapses occurring in patients without interstitial infiltrates were mutually exclusive, which may indicate that they are essentially different.</p>}},
  author       = {{Göçeroǧlu, Arda and Berden, Annelies E. and Fiocco, Marta and Flobmann, Oliver and Westman, Kerstin W. and Ferrario, Franco and Gaskin, Gill and Pusey, Charles D. and Hagen, E. Christiaan and Noë, Laure Hélène and Rasmussen, Niels and Waldherr, Rüdiger and Walsh, Michael and Bruijn, Jan A. and Jayne, David R W and Bajema, Ingeborg M.}},
  issn         = {{1932-6203}},
  language     = {{eng}},
  month        = {{12}},
  number       = {{12}},
  publisher    = {{Public Library of Science (PLoS)}},
  series       = {{PLoS ONE}},
  title        = {{ANCA-associated glomerulonephritis : Risk factors for renal relapse}},
  url          = {{http://dx.doi.org/10.1371/journal.pone.0165402}},
  doi          = {{10.1371/journal.pone.0165402}},
  volume       = {{11}},
  year         = {{2016}},
}