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Depression as a possible determinant of fatigue in patients with axial spondyloarthritis


1, 2, 3, 4, 5, 6, 7, 8, 9, 10

 

  1. Rheumatology Section, Department of Medicine, University of Verona, Italy. riccardo.bixio@univr.it
  2. Section of Psychiatry, Department of Neuroscience, Biomedicine, and Movement Sciences, University of Verona, Italy.
  3. Rheumatology Section, Department of Medicine, University of Verona, Italy.
  4. Section of Psychiatry, Department of Neuroscience, Biomedicine, and Movement Sciences, University of Verona, Italy.
  5. Rheumatology Section, Department of Medicine, University of Verona, Italy.
  6. Section of Psychiatry, Department of Neuroscience, Biomedicine, and Movement Sciences, University of Verona, Italy.
  7. Rheumatology Section, Department of Medicine, University of Verona, Italy.
  8. Section of Psychiatry, Department of Neuroscience, Biomedicine, and Movement Sciences, University of Verona, Italy.
  9. Rheumatology Section, Department of Medicine, University of Verona, Italy.
  10. Section of Psychiatry, Department of Neuroscience, Biomedicine, and Movement Sciences, University of Verona, Italy.

CER16983
2024 Vol.42, N°5
PI 1015, PF 1019
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PMID: 38294018 [PubMed]

Received: 08/07/2023
Accepted : 06/11/2023
In Press: 25/01/2024
Published: 14/05/2024

Abstract

OBJECTIVES:
Fatigue is a common comorbidity in patients with axial spondyloarthritis (axSpA), often reported also by those in clinical remission or with moderate disease activity. The aim of this study is to assess the prevalence of fatigue in patients with axSPA, and to investigate possible non-disease-related determinants, with a special focus on depression.
METHODS:
Patients with axSpA were assessed using the Chalder’s Fatigue Questionnaire (CFQ) for fatigue, and the depression subscale of the Hospital Anxiety and Depression Scale (HADS-D) for depression. Ankylosing Spondylitis Disease Activity Score (ASDAS), Bath Ankylosing Spondylitis Functional Index (BASFI) and Health Assessment Questionnaire (HAQ) were also used to assess disease activities and disability. Univariate and multivariate linear regressions were performed to identify possible predictors of fatigue.
RESULTS:
Out of 119 patients, 53 (44.5%) had fatigue. Patients with fatigue had higher HADS-D, ASDAS, BASFI, HAQ scores. HADS-D was predictive of CFQ score in univariate and multivariate regressions for total CFQ, and for mental and physical subscales. The correlation between HADS-D and CFQ total score was statistically significant also when taking into consideration only patients in clinical remission and with moderate disease activity. Depressed patients had higher CFQ score compared to non-depressed ones, and did not show any difference in CFQ scores when stratified for disease activity or systemic inflammation.
CONCLUSIONS:
The study found correlation between fatigue and disease activity and depression in patients with axSpA. These findings suggest that depression could represent the major determinant of fatigue in patients with axSpA, independently of clinical activity.

DOI: https://doi.org/10.55563/clinexprheumatol/d4cq48

Rheumatology Article