PRESCRIPTION PRACTICES IN RHEUMATOID ARTHRITIS AND ANKYLOSING SPONDYLITIS. THE IMPACT ON THE DISEASE CONTROL AND HEALTH STATUS. REPORT OF THE FIRST NATIONAL SURVEY IN RHEUMATIC DISEASES IN MEXICO

2006 ◽  
Vol 12 (Supplement) ◽  
pp. S19
Author(s):  
Mar??a Victoria Goycochea-Robles ◽  
Alejandro C??sar Arce-Salinas ◽  
Silvia Guzm??n V??zquez ◽  
Mario H. Cardiel-R??os
Keyword(s):  
Rheumatoid Arthritis ◽  
Health Status ◽  
Ankylosing Spondylitis ◽  
Disease Control ◽  
Rheumatic Diseases ◽  
National Survey ◽  
Status Report ◽  
Prescription Practices ◽  
The Impact

scholarly journals SAT0589 RISK FOR PSYCHIATRIC HOSPITALIZATION FOLLOWING A RHEUMA-RELATED HOSPITALIZATION: RESULTS FROM A CZECH NATIONWIDE, COHORT STUDY

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1253.2-1254
Author(s):  
T. Formánek ◽  
K. Mladá ◽  
M. Husakova
Keyword(s):  
Rheumatoid Arthritis ◽  
Cohort Study ◽  
Ankylosing Spondylitis ◽  
Rheumatic Disease ◽  
Rheumatic Diseases ◽  
Psychiatric Hospitalization ◽  
Population Based ◽  
Index Hospitalization ◽  
Increased Risk ◽  
History Of

Background:Cohort studies using nationwide health registers have shown an increased risk for affective and anxiety disorders in people with ankylosing spondylitis (AS) and rheumatoid arthritis (RA) (1-3). Moreover, a nationwide cohort study demonstrated an increased risk for mental disorders in people with rheumatic diseases (4).Objectives:We aimed to investigate the risk for psychiatric hospitalization following a hospitalization for rheumatic disease.Methods:Using data from the Czech nationwide register of all-cause hospitalizations, we obtained 4 971 individuals hospitalized (index hospitalization) between 2004 and 2012 for rheumatic diseases - RA, spondyloarthritis (including AS, psoriatic arthritis and undifferentiated spondyloarthritis), systemic lupus erythematosus and systemic sclerodermia, with no history of psychiatric and rheuma-related hospitalization in the previous 10 years from the index hospitalization. On these individuals, we randomly matched (on age, gender and year of index hospitalization) controls that were hospitalized in the same time period for a non-rheumatic disease and have no history of psychiatric and rheumatic hospitalization in the last 10 years from their index hospitalization, in the ratio of 1:5. We employed conditional logistic regression for assessing the risk for psychiatric hospitalization in the subsequent 3 years from the index hospitalization. To strengthen our results, we repeated the matching step 100 times and run the analysis on each resulting dataset separately, and pooled the results. The findings are expressed as odds ratios (OR) with 95% confidence intervals (95% CI).Results:We identified an elevated risk for psychiatric (OR = 1.34, 95% CI = 1; 1.78) and for affective disorders (OR = 2.19, 95% CI = 1.17; 4.1) in people hospitalized for rheumatic diseases. We did not find a statistically significant association with organic, psychotic and anxiety disorders.Conclusion:There is an increased risk for experiencing a psychiatric disorder in the period of 3 years after a rheuma-related hospitalization.References:[1]Shen C-C, Hu L-Y, Yang AC, Kuo BI-T, Chiang Y-Y, Tsai S-J. Risk of Psychiatric Disorders following Ankylosing Spondylitis: A Nationwide Population-based Retrospective Cohort Study. The Journal of Rheumatology. 2016;43(3).[2]Park J-S, Jang H-D, Hong J-Y, Park Y-S, Han K, Suh S-W, et al. Impact of ankylosing spondylitis on depression: a nationwide cohort study. Scientific Reports. 2019;9(1):6736.[3]Hsu C-C, Chen S-C, Liu C-J, Lu T, Shen C-C, Hu Y-W, et al. Rheumatoid Arthritis and the Risk of Bipolar Disorder: A Nationwide Population-Based Study. PLOS ONE. 2014;9(9).[4]Sundquist K, Li X, Hemminki K, Sundquist J. Subsequent Risk of Hospitalization for Neuropsychiatric Disorders in Patients With Rheumatic Diseases: A Nationwide Study From Sweden. Archives of General Psychiatry. 2008;65(5):501-7.Acknowledgments:Supported by the project (Ministry of Health Czech Republic) for conceptual development of research organization 00023728 (Institute of Rheumatology).Disclosure of Interests:Tomáš Formánek: None declared, Karolina Mladá: None declared, Marketa Husakova Speakers bureau: Novartis

Ankylosing spondylitis, other spondyloarthritides, and related conditions

2010 ◽  
pp. 3603-3616 ◽  
Author(s):  
J. Braun ◽  
J. Sieper
Keyword(s):  
Rheumatoid Arthritis ◽  
Back Pain ◽  
Ankylosing Spondylitis ◽  
Gastrointestinal Tract ◽  
Rheumatic Diseases ◽  
Skin Lesions ◽  
Inflammatory Back Pain ◽  
Psoriatic Skin ◽  
Inflammatory Rheumatic Diseases ◽  
History Of

The spondyloarthritides are a group of inflammatory rheumatic diseases with predominant involvement of axial and peripheral joints and entheses, together with other characteristic clinical features, including inflammatory back pain, sacroiliitis, peripheral arthritis (mainly in the legs), enthesitis, dactylitis, preceding infection of the urogenital/gastrointestinal tract, psoriatic skin lesions, Crohn-like gut lesions, anterior uveitis, and a family history of Spondyloarthritis. They are the second most frequent inflammatory rheumatic diseases after rheumatoid arthritis....

Assessment of rheumatic disease

2013 ◽  
pp. 212-220
Author(s):  
Piet van Riel
Keyword(s):  
Rheumatoid Arthritis ◽  
Systemic Sclerosis ◽  
Ankylosing Spondylitis ◽  
Rheumatic Diseases ◽  
Clinical Examination ◽  
Spinal Mobility ◽  
Diagnostic Process ◽  
Skin Involvement ◽  
Skin Score ◽  
Modified Rodnan Skin Score

The clinical examination of the musculoskeletal system is the cornerstone in the diagnostic process of rheumatic diseases. Next to this the clinical examination is important in evaluating the course of the different rheumatic diseases and the response to interventions. For instance in rheumatoid arthritis the joint scores—number of painful and swollen joints—are important in the evaluation of the disease activity of the patient. In systemic sclerosis the severity of skin involvement is measured with a skin score such as the modified Rodnan skin score, and in ankylosing spondylitis the spinal mobility is measured using different clinical scores. In general all these examinations should be carried out as far as possible in a standardized, systematic way.

scholarly journals Socio-demographic and psychosocial predictors of rheumatoid arthritis health outcome

2004 ◽  
Vol 10 (4) ◽  
pp. 10
Author(s):  
Pamela Naidoo ◽  
Graham C Lindegger ◽  
Girish M Mody
Keyword(s):  
Rheumatoid Arthritis ◽  
Health Outcome ◽  
Health Status ◽  
Functional Status ◽  
Psychological Factors ◽  
Demographic Factors ◽  
Self Report ◽  
Tender Joint ◽  
Socio Demographic Factors ◽  
The Impact

Objectives. To investigate the psychosocial aspects of rheumatoid arthritis (RA) and to determine the predictors of RA health outcome in a low socio-economic group of clinic-based adult RA patients.Design. This was a cross-sectional study. Clinic-based adult RA patients were subjected to a series of self- administered questionnaires to assess their experience of the disease. Coping, social support, causal attribution, cognitive illness representation, pain and functional status were assessed. Joint status, which indicated the degree of severity of joint inflammation for each RA patient, was assessed by a rheumatologist.Subjects. The sample consisted of 186 RA patients with a mean age of 49.51 years and a mean duration of RA of 10.80 years.Outcome measures. Health status measures defined by pain and functional status, and joint status.Results. Psychological factors, especially coping, were more significant predictors of self-report of pain and functional status than socio-demographic factors. Both socio-demographic factors and psychological factors (especially coping) were found to be significant predictors of swollen and tender joint status.Conclusion and recommendations. As a psychological factor, coping emerged as a consistent predictor of both self-report of pain and functional status, and swollen and tender joint status. It is recommended that to enhance the quality of life of RA patients and improve their health status, the impact of psychosocial factors such as the way in which patients cope with their disease status, must be considered. Further, it is recommended that health professionals collaborate not only in attempting to refine the theoretical conceptualisation of RA, but also in devising holistic and multidisciplinary care for individuals afflicted with the disease.

Identification of Cutpoints for Acceptable Health Status and Important Improvement in Patient-Reported Outcomes, in Rheumatoid Arthritis, Psoriatic Arthritis, and Ankylosing Spondylitis

2009 ◽  
Vol 37 (1) ◽  
pp. 26-31 ◽  
Author(s):  
MARIA KNOPH KVAMME ◽  
IVAR SØNBØ KRISTIANSEN ◽  
ELISABETH LIE ◽  
TORE KRISTIAN KVIEN
Keyword(s):  
Rheumatoid Arthritis ◽  
Psoriatic Arthritis ◽  
Health Status ◽  
Ankylosing Spondylitis ◽  
Patient Reported Outcomes ◽  
Classification Systems ◽  
Operating Characteristics ◽  
Percentile Method ◽  
Important Improvement ◽  
Patient Reported

Objective.To identify cutpoints reflecting Patient Acceptable Symptom State (PASS) and Minimal Clinically Important Improvement (MCII) in patient-reported multi-attribute health status classification systems and health status measurements among patients with rheumatoid arthritis (RA), ankylosing spondylitis (AS), and psoriatic arthritis (PsA).Methods.We identified patients with RA, AS, and PsA from the Norwegian disease-modifying antirheumatic drug (DMARD) register (NOR-DMARD). The patients (n = 4225) had started with DMARD and responded to the PASS and MCII anchoring questions at the 3-month followup examination. Receiver operating characteristics (ROC) curves with 80% specificity and the 75th percentile approach were used to identify PASS and MCII cutpoints in the EuroQol-5 Dimensions (EQ-5D) and the Short-Form-6 Dimensions (SF-6D) indexes, but also in other patient-reported outcomes (joint pain and patient global visual analog scale and Modified Health Assessment Questionnaire).Results.The PASS cutpoints estimated with 80% specificity were around 0.70 in EQ-5D in all diseases and around 0.65 in SF-6D. The cutpoints were around 0.65 and 0.60, respectively, when the 75th percentile approach was used. The MCII cutpoints assessed by 80% specificity varied from 0.10 to 0.19 in EQ-5D and from 0.07 to 0.10 in SF-6D.Conclusion.The cutpoints for PASS in EQ-5D and SF-6D indicate that PASS corresponds to a health-related quality of life that is far from perfect health. Somewhat different cutpoints were identified for both PASS and MCII with 80% specificity versus the 75th percentile method.

scholarly journals Comparative analysis of the systemic inflammatory response in rheumatic diseases

2012 ◽  
Vol 93 (1) ◽  
pp. 12-17
Author(s):  
D V Ivanov ◽  
L A Sokolova ◽  
E Yu Gusev ◽  
L N Kamkina ◽  
N O Plekhanova
Keyword(s):  
Rheumatoid Arthritis ◽  
Systemic Lupus Erythematosus ◽  
Ankylosing Spondylitis ◽  
Inflammatory Response ◽  
Rheumatic Diseases ◽  
Lupus Erythematosus ◽  
C Reactive Protein ◽  
Systemic Lupus ◽  
Reactive Protein ◽  
Reactivity Coefficient

Aim. To compare the course of chronic systemic inflammation during various rheumatic diseases. Methods. Examined were three groups of patients: with ankylosing spondylitis - 25 people (20 males and 5 females), with rheumatoid arthritis - 26 people (11 males and 15 females) and with systemic lupus erythematosus - 49 people (3 males and 46 females). The control group included 50 practically healthy individuals (26 males and 24 females). Analyzed were the following parameters: the content of interleukin-6, -8, -10, C-reactive protein. The integral index of the reactivity coefficient was calculated. Results. The level of the studied cytokines was significantly higher in systemic lupus erythematosus, than in ankylosing spondylitis and rheumatoid arthritis, while the content of C-reactive protein was significantly higher in ankylosing spondylitis and rheumatoid arthritis. The values of the reactivity coefficient were also significantly higher in systemic lupus erythematosus. Conclusion. The presence of systemic inflammation was determined in most patients with systemic lupus erythematosus, while ankylosing spondylitis and rheumatoid arthritis were characterized only by mild manifestations of systemic inflammatory response.

scholarly journals Comparative analysis of various metrics of arterial compliance in the study of chronic inflammatory diseases

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
P.L Kerkhof ◽  
R.B Djorai ◽  
A Maslyanskiy ◽  
E Kolesova ◽  
A.O Konradi ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Ankylosing Spondylitis ◽  
Arterial Stiffness ◽  
Arterial Pressure ◽  
Inflammatory Diseases ◽  
Arterial Compliance ◽  
Poor Correlation ◽  
Funding Source ◽  
Chronic Inflammatory Diseases ◽  
The Impact

Abstract Introduction Arterial compliance (AC), known to depend on age and sex, may be severely compromised in chronic inflammatory diseases. Apart from the various definitions for arterial stiffness that are in vogue, their constituent components are often not unique. Purpose This study compares vascular stiffness measures in various inflammatory diseases and explores a more comprehensive description of vessel wall properties by also considering inherent associated companion metrics. Methods We retrospectively analyzed arterial pressure, ventricular volume by echocardiography (Vivid-7 ultrasound system), along with carotid–femoral pulse wave velocity (PWV, by SphygmoCor, Atcor). Pulse pressure (PP) equals systolic arterial pressure (SAP) minus diastolic arterial pressure (DAP). Effective arterial elastance (Ea) = 0.9 × SAP/SV where SV is stroke volume. AC=SV/PP (Figure 1A). The intrinsic companion (C) to any established difference-based metric is calculated on the basis of the squared mean, e.g., PPC2 = (SAP2 + DAP2). Clearly, AC depends on two differences, each having a companion. Results A total of 177 patients (age range 18 to 80 years, 49 males), characterized by inflammatory disease (51 scleroderma, 62 atherosclerosis, 35 ankylosing spondylitis, and 29 rheumatoid arthritis), yielded reduced levels of vacular compliance irrespective of the method selected. Regression analysis showed weak correlations between the various approaches (i.e., Ea, AC, PWV). Average values for AC are comparable for all 4 diagnostic groups. Ea (P<0.03) and PWV (P<0.014) are lower for ankylosing spondylitis compared to all other groups, likely due to younger age and the higher prevalence of men. Ea is highest in atherosclerosis (P<0.026) versus all other groups. SV is significantly higher in atherosclerosis (P<0.03) compared to scleroderma and rheumatoid arthritis. However, the companions may differ (Figure 1B): PPC is significantly (P=0.017) higher in atherosclerosis (156.3±16.1 mmHg) vs scleroderma (147.2±23.0 mmHg), while SVC in ankylosing spondylitis is higher (P<0.013) than in all other groups. Conclusions Arterial stiffness measures show poor correlation, suggesting limitations to their utility when studying the diagnostic groups described here. Consideration of the companion associated with each difference-based metric is warranted in order to perform a comprehensive analysis of clinical data when evaluating the impact on risk factors and prognosis. Figure 1. A: Compliance components. B: Companions Funding Acknowledgement Type of funding source: Public grant(s) – National budget only. Main funding source(s): Russian Science Foundation

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