Cargando…

Depression is the most significant independent predictor of fatigue in patients with primary Sjögren’s syndrome

OBJECTIVES: The study aimed to evaluate the level of fatigue and the relationship between mood, pain, fibromyalgia, insomnia, disease activity, and dryness with fatigue in primary Sjögren’s syndrome (PSS) patients. PATIENTS AND METHODS: In this case-control study, the participants were recruited bet...

Descripción completa

Detalles Bibliográficos
Autores principales: Ayar, Koray, Kasapoğlu Aksoy, Meliha, Dilara Hattatoğlu, Tülay, Yeşil, Büşra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Turkish League Against Rheumatism 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10689022/
https://www.ncbi.nlm.nih.gov/pubmed/38046240
http://dx.doi.org/10.46497/ArchRheumatol.2023.9790
_version_ 1785152282357137408
author Ayar, Koray
Kasapoğlu Aksoy, Meliha
Dilara Hattatoğlu, Tülay
Yeşil, Büşra
author_facet Ayar, Koray
Kasapoğlu Aksoy, Meliha
Dilara Hattatoğlu, Tülay
Yeşil, Büşra
author_sort Ayar, Koray
collection PubMed
description OBJECTIVES: The study aimed to evaluate the level of fatigue and the relationship between mood, pain, fibromyalgia, insomnia, disease activity, and dryness with fatigue in primary Sjögren’s syndrome (PSS) patients. PATIENTS AND METHODS: In this case-control study, the participants were recruited between January 2021 and July 2021. Functional Assessment of Chronic Illness Therapy Fatigue (FACIT-F), pain DETECT questionnaire, Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI), Insomnia Severity Index (ISI) were administered to 50 PSS patients (48 females, 2 males; mean age: 48.9±10.8 years; median age: 47 years; range, 29 to 71 years) and 60 healthy controls (HCs; 57 females, 3 males; mean age: 49.8±8.4 years, median age: 52 years; range, 32 to 72 years). In addition, EULAR Sjögren’s syndrome disease activity index (ESSPRI), EULAR Sjögren’s Syndrome Patient Reported Index (ESSDAI), pain thresholds, Schirmer tests, and whole unstimulated salivary flow rate measurements were determined in PSS patients. Independent predictors of fatigue (fatigue subscale scores <30.5) were investigated by logistic regression analysis. RESULTS: The frequency of fatigue in PSS patients and HCs was 54.0% and 8.3%, respectively. The rates of mood disturbance (BDI ≥11) in PSS patients with and without fatigue were 70.4% and 13.1%, respectively. BDI (Rho=-0.804), BAI (Rho=-0.586), ISI (Rho=-0.483), and ESSDAI (Rho=-0.345) were negatively correlated with the fatigue subscale score. Depression [Odds ratio (OR): 1.214, confidence interval (CI): 1.007-1.463], fibromyalgia (OR: 21.674, CI: 1.470-319.469), disease activity (OR: 1.440; CI: 1.005-2.065), and insomnia (OR: 1.223, CI: 1.003-1.4922) were identified as independent predictors of fatigue in PSS patients. It was determined that BD alone could predict fatigue by 84% in PSS patients. CONCLUSION: Depression can be a prominent predictor of fatigue in PSS patients. There is a need for studies evaluating the effect of antidepressant treatment approaches on fatigue accompanied by mood disturbance in PSS patients.
format Online
Article
Text
id pubmed-10689022
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Turkish League Against Rheumatism
record_format MEDLINE/PubMed
spelling pubmed-106890222023-12-01 Depression is the most significant independent predictor of fatigue in patients with primary Sjögren’s syndrome Ayar, Koray Kasapoğlu Aksoy, Meliha Dilara Hattatoğlu, Tülay Yeşil, Büşra Arch Rheumatol Original Article OBJECTIVES: The study aimed to evaluate the level of fatigue and the relationship between mood, pain, fibromyalgia, insomnia, disease activity, and dryness with fatigue in primary Sjögren’s syndrome (PSS) patients. PATIENTS AND METHODS: In this case-control study, the participants were recruited between January 2021 and July 2021. Functional Assessment of Chronic Illness Therapy Fatigue (FACIT-F), pain DETECT questionnaire, Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI), Insomnia Severity Index (ISI) were administered to 50 PSS patients (48 females, 2 males; mean age: 48.9±10.8 years; median age: 47 years; range, 29 to 71 years) and 60 healthy controls (HCs; 57 females, 3 males; mean age: 49.8±8.4 years, median age: 52 years; range, 32 to 72 years). In addition, EULAR Sjögren’s syndrome disease activity index (ESSPRI), EULAR Sjögren’s Syndrome Patient Reported Index (ESSDAI), pain thresholds, Schirmer tests, and whole unstimulated salivary flow rate measurements were determined in PSS patients. Independent predictors of fatigue (fatigue subscale scores <30.5) were investigated by logistic regression analysis. RESULTS: The frequency of fatigue in PSS patients and HCs was 54.0% and 8.3%, respectively. The rates of mood disturbance (BDI ≥11) in PSS patients with and without fatigue were 70.4% and 13.1%, respectively. BDI (Rho=-0.804), BAI (Rho=-0.586), ISI (Rho=-0.483), and ESSDAI (Rho=-0.345) were negatively correlated with the fatigue subscale score. Depression [Odds ratio (OR): 1.214, confidence interval (CI): 1.007-1.463], fibromyalgia (OR: 21.674, CI: 1.470-319.469), disease activity (OR: 1.440; CI: 1.005-2.065), and insomnia (OR: 1.223, CI: 1.003-1.4922) were identified as independent predictors of fatigue in PSS patients. It was determined that BD alone could predict fatigue by 84% in PSS patients. CONCLUSION: Depression can be a prominent predictor of fatigue in PSS patients. There is a need for studies evaluating the effect of antidepressant treatment approaches on fatigue accompanied by mood disturbance in PSS patients. Turkish League Against Rheumatism 2022-12-30 /pmc/articles/PMC10689022/ /pubmed/38046240 http://dx.doi.org/10.46497/ArchRheumatol.2023.9790 Text en Copyright © 2023, Turkish League Against Rheumatism https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Article
Ayar, Koray
Kasapoğlu Aksoy, Meliha
Dilara Hattatoğlu, Tülay
Yeşil, Büşra
Depression is the most significant independent predictor of fatigue in patients with primary Sjögren’s syndrome
title Depression is the most significant independent predictor of fatigue in patients with primary Sjögren’s syndrome
title_full Depression is the most significant independent predictor of fatigue in patients with primary Sjögren’s syndrome
title_fullStr Depression is the most significant independent predictor of fatigue in patients with primary Sjögren’s syndrome
title_full_unstemmed Depression is the most significant independent predictor of fatigue in patients with primary Sjögren’s syndrome
title_short Depression is the most significant independent predictor of fatigue in patients with primary Sjögren’s syndrome
title_sort depression is the most significant independent predictor of fatigue in patients with primary sjögren’s syndrome
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10689022/
https://www.ncbi.nlm.nih.gov/pubmed/38046240
http://dx.doi.org/10.46497/ArchRheumatol.2023.9790
work_keys_str_mv AT ayarkoray depressionisthemostsignificantindependentpredictoroffatigueinpatientswithprimarysjogrenssyndrome
AT kasapogluaksoymeliha depressionisthemostsignificantindependentpredictoroffatigueinpatientswithprimarysjogrenssyndrome
AT dilarahattatoglutulay depressionisthemostsignificantindependentpredictoroffatigueinpatientswithprimarysjogrenssyndrome
AT yesilbusra depressionisthemostsignificantindependentpredictoroffatigueinpatientswithprimarysjogrenssyndrome