FRI0202 The Relationship Between Disease Activity, Functional Index, Sleep Quality, Anxiety, Depression, Fatigue and Quality of Life in Patients with Ankylosing Spondylitis

2015 ◽  
Vol 74 (Suppl 2) ◽  
pp. 497.3-498 ◽  
Author(s):  
A. Ates ◽  
F. Dortbas ◽  
Y. Karaaslan
Keyword(s):  
Quality Of Life ◽  
Ankylosing Spondylitis ◽  
Sleep Quality ◽  
Disease Activity ◽  
Functional Index ◽  
Anxiety Depression ◽  
The Relationship

scholarly journals Presence of Fibromyalgia Syndrome and Its Relationship with Clinical Parameters in Patients with Axial Spondyloarthritis

2019 ◽  
Vol 6 (22;6) ◽  
pp. E579-E585
Author(s):  
Gonca Saglam
Keyword(s):  
Quality Of Life ◽  
Ankylosing Spondylitis ◽  
Sleep Quality ◽  
Disease Activity ◽  
Disease Activity Score ◽  
Axial Spondyloarthritis ◽  
Functional Index ◽  
Quality Of Life Scale ◽  
Life Scale

Background: Fibromyalgia syndrome (FMS) is a disorder with a population prevalence of 1% to 5%. There are insufficient data in the literature on the incidence of FMS in patients with axial spondyloarthritis (SpA), with only a limited number of studies conducted. Objectives: The aim of this study was to determine the presence of FMS in patients diagnosed with axial SpA and to investigate the effect of this coexistence on clinical and laboratory assessments in patients with ankylosing spondylitis. Study Design: This research involved a retrospective analysis of prospectively collected data. Setting: The research took place in an outpatient rheumatology clinic. Methods: This study included 125 patients diagnosed with axial SpA according to the Assessment of Spondyloarthritis International Society criteria. The presence of FMS was investigated according to the 2010 American College of Rheumatology criteria. Pain during activity, resting, and at night was examined using the Visual Analog Scale. Ankylosing Spondylitis Disease Activity Scores were used for assessment of disease activity, Ankylosing Spondylitis Quality of Life Scale was used for quality of life, Bath Ankylosing Spondylitis Functional Index was used for functionality, and Pittsburgh Sleep Quality Index was used for sleep quality. Results: Incidence of FMS was 29.6% in the study population, which consisted of patients who were all diagnosed with axial SpA. Comparison of patient groups with and without FMS revealed no statistically significant differences in age, weight, body mass index, marital status, family history, and smoking history (P > .05), with a higher rate of female patients in the group with FMS at 55% (P < .05). Ankylosing Spondylitis Disease Activity Score-C-Reaktif Protein, Ankylosing Spondylitis Disease Activity Score-Erythyrocyte Sedimentation Rate, Ankylosing Spondylitis Quality of Life Scale, Bath Ankylosing Spondylitis Functional Index, Pittsburgh Sleep Quality Index, and Visual Analog Scale pain scores were significantly higher in the group with FMS (P < .05). Limitation: The study involved a limited number of patients. Conclusions: FMS is observed in one-third of patients with axial SpA. The presence of FMS negatively affects quality of life, functional status, sleep quality, disease activity, and pain level of patients with ankylosing spondylitis. The possibility for coexistence of FMS should be kept in mind when determining the treatment protocols for patients with axial spondyloarthritis, and adjunctive treatment should be given if necessary

scholarly journals The comparison of effects of balneotherapy, water-based and land-based exercises on disease activity, symptoms, sleep quality, quality of life and serum sclerostin level in patients with ankylosing spondylitis: A prospective, randomized study

2021 ◽  
Author(s):  
Ersin Bestaş ◽  
Ümit Dündar ◽  
Tülay Köken ◽  
Buğra Koca ◽  
Hilal Yeşil
Keyword(s):  
Quality Of Life ◽  
Ankylosing Spondylitis ◽  
Sleep Quality ◽  
Disease Activity ◽  
Activity Index ◽  
Randomized Study ◽  
Disease Activity Index ◽  
Water Based ◽  
Sclerostin Level

Objectives: This study aims to compare the effects of balneotherapy, water-based exercise (WBE), and land-based exercise (LBE) on disease activity, symptoms, sleep quality, quality of life, and serum sclerostin level (SSL) in patients with ankylosing spondylitis (AS). Patients and methods: Between January 2019 and January 2020, a total of 60 patients (35 males, 25 females; mean age: 40.9±11.2 years; range, 18 to 55 years) who were diagnosed with AS were randomly divided into the balneotherapy (n=20), WBE (n=20), and LBE (n=20) groups (20 sessions of treatment in groups of five to six patients). The patients were evaluated before treatment and at 4 and 12 weeks using the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), Bath Ankylosing Spondylitis Functional Index (BASFI), Bath Ankylosing Spondylitis Metrology Index (BASMI), Ankylosing Spondylitis Disease Activity Score-C-reactive protein (ASDAS-CRP), Maastricht Ankylosing Spondylitis Enthesitis Score (MASES), Ankylosing Spondylitis Quality of Life (ASQoL) Scale, Fatigue Severity Scale (FSS), and Pittsburg Sleep Quality Index (PSQI), and SSL were measured. Results: Statistically significant improvements in the BASDAI, BASFI, MASES, BASMI, ASQoL, FSS, and ASDAS-CRP scores were observed in all groups at 4 and 12 weeks of follow-up (p<0.05). A significant improvement in sleep latency was seen in the balneotherapy and WBE groups. Changes in SSL were not statistically significant in any group (p>0.05). Conclusion: Balneotherapy, WBE, and LBE are effective in the treatment of AS, and the beneficial effects may last for at least 12 weeks.

The relationship between disease activity, quality of life, and personality types in rheumatoid arthritis and ankylosing spondylitis patients

2017 ◽  
Vol 36 (7) ◽  
pp. 1511-1519 ◽  
Author(s):  
T. Donisan ◽  
V. C. Bojincă ◽  
M. A. Dobrin ◽  
D. V. Bălănescu ◽  
D. Predețeanu ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Rheumatoid Arthritis ◽  
Ankylosing Spondylitis ◽  
Disease Activity ◽  
Personality Types ◽  
The Relationship

Health-Related Quality of Life in Patients with Ankylosing Spondylitis: Relationship with Disease-Related Variables

2020 ◽  
Vol 16 (4) ◽  
pp. 311-318 ◽  
Author(s):  
Gehan Elolemy ◽  
Ahmed Aboughanima ◽  
Sahar Ganeb ◽  
Haytham Elziat
Keyword(s):  
Quality Of Life ◽  
Ankylosing Spondylitis ◽  
Physical Health ◽  
Disease Activity ◽  
Functional Status ◽  
Spinal Mobility ◽  
Peripheral Arthritis ◽  
Radiographic Severity ◽  
Sf 36

Background: Ankylosing spondylitis (AS) is a chronic progressive inflammatory disease leading to functional limitations and subsequently impaired quality of life (QoL). Despite the fact that QoL was recognized as a significant perception, it was excluded from the core domains (defined by the Assessment of Spondyloarthritis International Society), because of ambiguity of measurement choice. Aim: To assess QoL in patients with AS using a generic; Short Form-36 (SF-36) and a diseasespecific; Ankylosing Spondylitis quality of life (ASQoL) instruments and to explore its relationship to the clinical characteristics, disease activity, functional status, and radiographic severity. Methods: A total of 47 AS patients who fulfilled modified New York criteria were included. Disease activity, functional status, spinal mobility, and radiographic severity were assessed by Bath AS Disease Activity Index (BASDAI), Bath AS Functional Index (BASFI), Bath AS Metrology Index (BASMI) and Bath AS Radiology Index (BASRI) respectively. SF-36 and ASQoL instruments evaluated Qol. Results: Physical health was more affected especially in patients with peripheral arthritis by SF-36 (p=0.008) and ASQoL (p=0.022) scores. Both SF-36 total and ASQoL scores correlated significantly with BASDAI (r = -0.329, p = 0.024 and r = 0.420, p = 0.003), BASFI (r = -0.399, p = 0.005 and r = 0.513, p=0.001) and BASMI (r = -0.382, p = 0.008 and r = 0.482, p= 0.001) respectively. Conclusion: QoL was impaired in AS patients with highest impact on physical health especially in association with peripheral arthritis. SF-36 and ASQol have a comparable achievement in the evaluation of QoL in AS patients and both physical function and spinal mobility were identified as predictors of poor QoL.

scholarly journals SAT0625-HPR FATIGUE AND CONTRIBUTING FACTORS IN CHINESE PATIENTS WITH ANKYLOSING SPONDYLITIS

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1272.2-1272
Author(s):  
W. Zhou ◽  
J. Guo ◽  
R. Zhao ◽  
C. Dong ◽  
Z. Gu
Keyword(s):  
Quality Of Life ◽  
Logistic Regression ◽  
Ankylosing Spondylitis ◽  
Sleep Quality ◽  
Binary Logistic Regression ◽  
The Self ◽  
Chinese Patients ◽  
Self Rating ◽  
Chi Square Analysis

Background:Ankylosing spondylitis (AS) is a systemic chronic inflammatory disease, which most likely occurs in young men. It mainly affects sacroiliac joints, axial skeleton, thoracic cage and seriously decreasing quality of life in AS patients[1,2]. In recent years, fatigue of AS patients has been paid more and more attention[3]. Fatigue is a complex feeling, diseased individuals describe fatigue as a sense of tiredness at rest, exhaustion with activity, lack of energy which affects daily work, inertia or lack of endurance, or as loss of vitality. It has been confirmed that fatigue is not only a symptom but may also be quantified by fatigue scores and can be modified by various measures depending on the underlying cause[4]. However, there has been no study about fatigue in AS patients in China.Objectives:This study aimed to evaluate the predictors of fatigue and the effects of fatigue on HR-QoL among patients with AS.Methods:A total of 150 AS patients were involved in the study. A series of questionnaires included: Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), Bath Ankylosing Spondylitis Metrology Index (BASMI), Bath Ankylosing Spondylitis Functional Index (BASFI), the 10 cm Visual Analog Scale (VAS), the Self-Rating Anxiety Scale (SAS), the Self-Rating Depression Scale (SDS), the Pittsburgh Sleep Quality Index (PSQI), the Health Assessment Questionnaire-Disability Index (HAQ-DI), the Short Form 36 Health Survey (SF-36) and the Fatigue Severity Scale(FSS). Independent samples t-test, Mann–Whitney U-test, Chi-square analysis, Pearson /Spearman correlation and binary logistic regression were used to analyze the data.Results:The results demonstrated that 48.7% individuals with AS suffered from fatigue. Compared with AS patients without fatigue, AS patients with fatigue showed higher WHR(P<0.05), increased BASDAI (P<0.01) and poorer BASFI (P<0.05). Meanwhile, AS patients with fatigue tended to have more severe pain(P<0.05), higher degree of anxiety(P=0.001), more serious functional disability(P=0.001) and worse sleep quality(P=0.001). Binary logistic regression indicated that WHR (OR=1.78,P<0.05), BASDAI (OR=1.34,P=0.01), sleep disturbance (OR=2.35,P<0.05) were independent predictors of fatigue in AS patients. Additionally, the occurrence of fatigue significantly reduced the quality of life in AS patients both physically and psychologically.Conclusion:These findings suggested that medical personnel should pay more attention to AS patients with fatigue and take effective measures to relieve fatigue.References:[1]Law L, Beckman Rehnman J, Deminger A, Klingberg E, Jacobsson LTH, Forsblad-d’Elia H (2018) Factors related to health-related quality of life in ankylosing spondylitis, overall and stratified by sex. Arthritis research & therapy 20 (1):284. doi:10.1186/s13075-018-1784-8[2]Hanson A, Brown MA (2017) Genetics and the Causes of Ankylosing Spondylitis. Rheumatic diseases clinics of North America 43 (3):401-414. doi:10.1016/j.rdc.2017.04.006[3]Ulus Y, Akyol Y, Bilgici A, Kuru O (2019) Association of work instability with fatigue and emotional status in patients with ankylosing spondylitis: comparison with healthy controls. Clinical rheumatology 38 (4):1017-1024. doi:10.1007/s10067-018-4366-x[4]Finsterer J, Mahjoub SZ (2014) Fatigue in healthy and diseased individuals. The American journal of hospice & palliative care 31 (5):562-575. doi:10.1177/1049909113494748Acknowledgments:Thanks to all the authors for their efforts and thanks to all members of the Department of Rheumatology of Affiliated Hospital of Nantong University for their helpfulness in the acquisition of data.Disclosure of Interests:None declared

O107 Depressive symptoms mediate the relationship between sleep quality and health-related quality of life in heart failure

Global Heart ◽  
2014 ◽  
Vol 9 (1) ◽  
pp. e29
Author(s):  
An-Yun Yeh ◽  
Susan J. Pressler ◽  
Seongkum Heo ◽  
Debra K. Moser ◽  
Sandra B. Dunbar ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Heart Failure ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related ◽  
The Relationship

scholarly journals Prediction of Diabetic Nephropathy from the Relationship between Fatigue, Sleep and Quality of Life

2020 ◽  
Vol 10 (9) ◽  
pp. 3282
Author(s):  
Angela Shin-Yu Lien ◽  
Yi-Der Jiang ◽  
Jia-Ling Tsai ◽  
Jawl-Shan Hwang ◽  
Wei-Chao Lin
Keyword(s):  
Quality Of Life ◽  
Feature Selection ◽  
Diabetic Nephropathy ◽  
Sleep Quality ◽  
Support Vector ◽  
Svm Classifier ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
The Relationship

Fatigue and poor sleep quality are the most common clinical complaints of people with diabetes mellitus (DM). These complaints are early signs of DM and are closely related to diabetic control and the presence of complications, which lead to a decline in the quality of life. Therefore, an accurate measurement of the relationship between fatigue, sleep status, and the complication of DM nephropathy could lead to a specific definition of fatigue and an appropriate medical treatment. This study recruited 307 people with Type 2 diabetes from two medical centers in Northern Taiwan through a questionnaire survey and a retrospective investigation of medical records. In an attempt to identify the related factors and accurately predict diabetic nephropathy, we applied hybrid research methods, integrated biostatistics, and feature selection methods in data mining and machine learning to compare and verify the results. Consequently, the results demonstrated that patients with diabetic nephropathy have a higher fatigue level and Charlson comorbidity index (CCI) score than without neuropathy, the presence of neuropathy leads to poor sleep quality, lower quality of life, and poor metabolism. Furthermore, by considering feature selection in selecting representative features or variables, we achieved consistence results with a support vector machine (SVM) classifier and merely ten representative factors and a prediction accuracy as high as 74% in predicting the presence of diabetic nephropathy.

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