Severe Infection in Anti-Glomerular Basement Membrane Disease: A Retrospective Multicenter French Study

Pauline Caillard1, Cécile Vigneau2, Jean-Michel Halimi3

  • 1Department of Nephrology, Dialysis, and Transplantation, University of Picardie Jules Verne, Amiens University Hospital, F-80054 Amiens, France.

Insights

Severe infections are common early complications in anti-glomerular basement membrane (GBM) disease, especially in older patients and those with positive anti-neutrophil cytoplasmic antibodies (ANCA). Intensive therapy

Area of Science:

  • Nephrology
  • Immunology
  • Infectious Diseases

Background:

  • Anti-glomerular basement membrane (GBM) disease can lead to severe complications, with intensive therapy benefits debated due to infection risks.
  • Understanding severe infection (SI) burden and predictors is crucial for managing anti-GBM disease patients.

Purpose of the Study:

  • To describe the incidence and types of severe infections (SI) in a large cohort of anti-GBM disease patients.
  • To identify factors predicting SI development in anti-GBM disease.
  • To assess the impact of SI on mortality.

Main Methods:

  • Retrospective analysis of 201 patients diagnosed with anti-GBM disease.
  • Data collection on patient demographics, clinical presentation, and infection events within the first year.
  • Multivariable analysis to identify predictors of SI and its association with mortality.

Main Results:

  • 161 severe infections (SI) occurred in 116 patients within the first year.
  • Pulmonary infections, catheter-associated bacteremia, and urinary tract infections were most common.
  • Positive anti-neutrophil cytoplasmic antibodies (ANCA) and older age at diagnosis were independent predictors of SI.
  • Age-adjusted SI within three months correlated with increased three-year mortality.

Conclusions:

  • Severe infections are a frequent early complication in anti-GBM disease, particularly affecting the elderly and ANCA-positive individuals.
  • The immunosuppressive strategy did not significantly influence SI occurrence.
  • Identifying at-risk patients can guide preventative measures and treatment strategies.

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