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Explaining fatigue in ANCA-associated vasculitis.

Neil Basu1, Andrew McClean, Lorraine Harper

  • 1School of Medicine and Dentistry, University of Aberdeen, Aberdeen, UK. neilbasu@abdn.ac.uk

Rheumatology (Oxford, England)
|June 7, 2013
PubMed
Summary
This summary is machine-generated.

Fatigue in ANCA-associated vasculitis (AAV) is multifactorial, with sleep disturbance and pain being key drivers. Identifying these determinants can help develop targeted interventions to improve patient well-being.

Keywords:
ANCA-associated vasculitiseosinophilic granulomatosis with polyangiitisfatiguegranulomatosis with polyangiitismicroscopic polyangiitis

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Area of Science:

  • Rheumatology
  • Clinical Medicine
  • Patient-Reported Outcomes

Background:

  • Fatigue is a prevalent and debilitating symptom in patients with ANCA-associated vasculitis (AAV).
  • Understanding the multifaceted determinants of fatigue is crucial for effective management and improving quality of life in AAV patients.

Purpose of the Study:

  • To identify the key biopsychosocial and clinical factors contributing to fatigue in patients diagnosed with AAV.
  • To determine the relative importance of these factors using population attributable risk (PAR).

Main Methods:

  • A multicentre, cross-sectional study involving 410 patients with AAV.
  • Utilized questionnaires to assess fatigue and biopsychosocial determinants, alongside recording clinical data.
  • Employed forward stepwise logistic regression to identify independent associations and calculate PAR.

Main Results:

  • High fatigue levels were reported by 74.8% of participants.
  • Sleep disturbance (OR 5.3) and pain (OR 3.8) were the strongest independent predictors of fatigue.
  • Other significant factors included female gender, elevated CRP, and dysfunctional coping strategies.

Conclusions:

  • AAV-related fatigue is complex and influenced by multiple factors.
  • Sleep disturbance and pain are the most significant contributors, with inflammation also playing a role.
  • The identified determinants offer potential targets for interventions to alleviate fatigue in AAV patients.