Muscular syndrome in patients with inflammatory and degenerative diseases of joints and vertebral column

1999 ◽  
Vol 80 (2) ◽  
pp. 113-116
Author(s):  
R. A. Khabirov
Keyword(s):  
Rheumatoid Arthritis ◽  
Rheumatic Diseases ◽  
Clinical Picture ◽  
Skeletal Muscles ◽  
Vertebral Column ◽  
Degenerative Diseases ◽  
Muscular System ◽  
Pathogenetic Mechanisms ◽  
Diagnosis Criteria

The manifestations of muscular syndrome affecting the gravity and prediction of the disease take place in the most widespread and invalidizing rheumatic diseases: osteoarthrosis, rheumatoid arthritis and ankylosing spondylarthritis. Paraclinical studies showed heterogeneity of pathogenetic mechanisms in lesion of skeletal muscles in rheumatic diseases. The differentiated methods of the treatment of patients with osteoarthrosis, rheumatoid arthritis and ankylosing spondylarthritis taking into account the clinical picture and pathogenesis of muscular syndrome, as well as the diagnosis criteria and classification of muscular system lesion are suggested.

scholarly journals FRI0588 DIAGNOSTIC PERFORMANCE OF THE RHEUMATOID FACTOR ISOTYPES IN RHEUMATIC DISEASES

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 899.2-899
Author(s):  
R. Pineda-Sic ◽  
D. Vega-Morales ◽  
L. Santoyo-Fexas ◽  
M. M. Castañeda-Martínez ◽  
I. D. J. Hernandez-Galarza ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Rheumatoid Factor ◽  
Sensitivity And Specificity ◽  
Rheumatic Diseases ◽  
Roc Curve ◽  
Lupus Erythematosus ◽  
Diagnostic Performance ◽  
Youden Index ◽  
Rheumatoid Factor Isotypes

Background:Rheumatoid Factor (RF) is used for the classification of Rheumatoid arthritis (RA) in patients whose main complaint is hand arthritis but is well known that other conditions have positive RF. Differences in analytical performance between assays were found in previous studies, there was a poor numerical agreement, and using the cut-off proposed by the manufacturer, variation in sensitivity and specificity can be seen.2Objectives:To determine the cut-off value for RF with the best diagnostic performance for RA in patients with hand arthritis compared with their main differential diagnoses.Methods:Descriptive, cross-sectional, diagnostic test study. Sampling size was calculated 2:1, with the area under the ROC curve (AUC): 0.708, power 80% and significance 0.05. Patients with RA, Systemic Lupus Erythematosus (SLE), Osteoarthritis (OA), fibromyalgia (FBM), Polyarticular Gout (PG), Psoriatic Arthritis(Psa), Sjögren Syndrome (SS), Arthralgia suspicious for progression to RA (ASP) and healthy subjects, previously classified with the current criteria by certified rheumatologist were included. EUROINMMUN ® assays for RF isotypes IgA, IgM, IgG were used. ROC curves and Youden index for determining the cut-off with the best sensitivity and specificity for each RF isotype comparing RA with other diseases were used. Statistical analyses were performed with SPSS V.24.Results:Three hundred and thirty-two serum samples from patients were included, in the other rheumatic diseases different from RA, we found positive RF IgM in 141 (45.5%), 82 (26.5%) IgA and 25 (8.1%) IgG. For each clinical scenario the cut-off with the best sensitivity and specificity was different from the manufacturer proposed, and isotypes with the best diagnostic performance was not the same for each disease, Table 1. We present the ROC curve for RF isotypes in Figure 1.Conclusion:In order to improve the diagnosis of Rheumatoid Arthritis, different cut-off points of RF and isotypes should be used.References:[1] Van Hoovels L, Jacobs J, Vander Cruyssen B, Van Den Bremt S, Verschueren P, Bossuyt X. Performance characteristics of rheumatoid factor and anti-cyclic citrullinated peptide antibody assays may impact ACR/EULAR classification of rheumatoid arthritis. Ann Rheum Dis. 2018;77(5):667-677. doi:10.1136/annrheumdis-2017-212365[2] Van Boekel MAM, Vossenaar ER, Van Den Hoogen FHJ, Van Venrooij WJ. Autoantibody systems in rheumatoid arthritis: Specificity, sensitivity and diagnostic value. Arthritis Res. 2002;4(2):87-93. doi:10.1186/ar395.Disclosure of Interests:None declared

scholarly journals Middle east pain syndrome is a pollution-induced new disease mimicking rheumatoid arthritis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Adel A. Elbeialy ◽  
Abdlnby M. Bauomi ◽  
Basma M. Elnaggar ◽  
Hala M. Elzomor
Keyword(s):  
Rheumatoid Arthritis ◽  
Fibromyalgia Syndrome ◽  
Pain Syndrome ◽  
Middle Phalanx ◽  
Ulnar Styloid ◽  
Diagnosis Criteria ◽  
Joint Arthritis ◽  
Vitamin D3 Deficiency ◽  
New Criteria

AbstractMusculoskeletal pains are sometimes misdiagnosed in some diseases, like rheumatoid and psoriatic arthritis, erosive OA, etc. Secondary hyperparathyroidism was not considered a differential diagnosis for RA, despite the fact that it can cause arthralgia or arthritis. Also, fibromyalgia is a psychosomatic condition marked by widespread pain and tenderness. This study included 400 patients attended certain outpatient clinics of Rheumatology in Egypt and Saudi Arabia, who were not fulfilling criteria for RA diagnosis. Criteria for classification of fibromyalgia syndrome were applied to all patients. We did lab tests and radiological imaging modalities for diagnosis or exclusion of suspected diseases were applied. All patients were fulfilling both old and new criteria of fibromyalgia syndrome, and not fulfilling any RA criteria, and had vitamin D3 deficiency or insufficiency. 75% of patients had abnormally high levels of PTH, without parathyroid gland pathology. Radiology showed subperiosteal and subchondral resorption of mainly thumbs, subchondral osteopenia of proximal and middle phalanges, mild subperiosteal resorption along the radial aspect of the middle phalanx and mild tuft erosions, besides changes in the carpus closely resembling those of rheumatoid arthritis, of ulnar styloid resorption, radiocarpal and scapho-trapezoid joint arthritis. Of special interest, the presence of tuft spur-like excrescences.

Development and Evaluation of Fuzzy Criteria for the Diagnosis of Rheumatoid Arthritis

1996 ◽  
Vol 35 (04/05) ◽  
pp. 334-342 ◽  
Author(s):  
K.-P. Adlassnig ◽  
G. Kolarz ◽  
H. Leitich
Keyword(s):  
Rheumatoid Arthritis ◽  
Reference Model ◽  
American Rheumatism Association ◽  
Uniform Definition ◽  
Sensitivity Rate ◽  
Fuzzy Techniques ◽  
Definition Of ◽  
Different Levels ◽  
Specificity Rate

Abstract:In 1987, the American Rheumatism Association issued a set of criteria for the classification of rheumatoid arthritis (RA) to provide a uniform definition of RA patients. Fuzzy set theory and fuzzy logic were used to transform this set of criteria into a diagnostic tool that offers diagnoses at different levels of confidence: a definite level, which was consistent with the original criteria definition, as well as several possible and superdefinite levels. Two fuzzy models and a reference model which provided results at a definite level only were applied to 292 clinical cases from a hospital for rheumatic diseases. At the definite level, all models yielded a sensitivity rate of 72.6% and a specificity rate of 87.0%. Sensitivity and specificity rates at the possible levels ranged from 73.3% to 85.6% and from 83.6% to 87.0%. At the superdefinite levels, sensitivity rates ranged from 39.0% to 63.7% and specificity rates from 90.4% to 95.2%. Fuzzy techniques were helpful to add flexibility to preexisting diagnostic criteria in order to obtain diagnoses at the desired level of confidence.

Factors of humoral immunity in the combined course of vibration disease and hypertension

2020 ◽  
pp. 558-559
Author(s):  
R. A. Baraeva ◽  
L. A. Strizhakov ◽  
Y. I. Borzykh
Keyword(s):  
Humoral Immunity ◽  
Clinical Picture ◽  
Pathogenetic Mechanisms ◽  
Vibration Disease ◽  
Mechanisms Of Formation

The study of humoral immunity factors in vibration disease and its combination with hypertension opens up prospects for rehabilitation and treatment of patients with this pathology, as well as complements our knowledge of the pathogenetic mechanisms of formation of the clinical picture of these diseases.

scholarly journals AB0210 ACREULAR: AN R PACKAGE FOR THE CALCULATION AND VISUALISATION OF ACR/EULAR RELATED RHEUMATOID ARTHRITIS MEASURES

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1405.1-1406
Author(s):  
F. Morton ◽  
J. Nijjar ◽  
C. Goodyear ◽  
D. Porter
Keyword(s):  
Rheumatoid Arthritis ◽  
Functional Status ◽  
Rheumatic Diseases ◽  
Web Application ◽  
R Package ◽  
Diagnostic Classification ◽  
Microsoft Excel ◽  
Link Type ◽  
Large Joint ◽  
Programming Skills

Background:The American College of Rheumatology (ACR) and the European League Against Rheumatism (EULAR) individually and collaboratively have produced/recommended diagnostic classification, response and functional status criteria for a range of different rheumatic diseases. While there are a number of different resources available for performing these calculations individually, currently there are no tools available that we are aware of to easily calculate these values for whole patient cohorts.Objectives:To develop a new software tool, which will enable both data analysts and also researchers and clinicians without programming skills to calculate ACR/EULAR related measures for a number of different rheumatic diseases.Methods:Criteria that had been developed by ACR and/or EULAR that had been approved for the diagnostic classification, measurement of treatment response and functional status in patients with rheumatoid arthritis were identified. Methods were created using the R programming language to allow the calculation of these criteria, which were incorporated into an R package. Additionally, an R/Shiny web application was developed to enable the calculations to be performed via a web browser using data presented as CSV or Microsoft Excel files.Results:acreular is a freely available, open source R package (downloadable fromhttps://github.com/fragla/acreular) that facilitates the calculation of ACR/EULAR related RA measures for whole patient cohorts. Measures, such as the ACR/EULAR (2010) RA classification criteria, can be determined using precalculated values for each component (small/large joint counts, duration in days, normal/abnormal acute-phase reactants, negative/low/high serology classification) or by providing “raw” data (small/large joint counts, onset/assessment dates, ESR/CRP and CCP/RF laboratory values). Other measures, including EULAR response and ACR20/50/70 response, can also be calculated by providing the required information. The accompanying web application is included as part of the R package but is also externally hosted athttps://fragla.shinyapps.io/shiny-acreular. This enables researchers and clinicians without any programming skills to easily calculate these measures by uploading either a Microsoft Excel or CSV file containing their data. Furthermore, the web application allows the incorporation of additional study covariates, enabling the automatic calculation of multigroup comparative statistics and the visualisation of the data through a number of different plots, both of which can be downloaded.Figure 1.The Data tab following the upload of data. Criteria are calculated by the selecting the appropriate checkbox.Figure 2.A density plot of DAS28 scores grouped by ACR/EULAR 2010 RA classification. Statistical analysis has been performed and shows a significant difference in DAS28 score between the two groups.Conclusion:The acreular R package facilitates the easy calculation of ACR/EULAR RA related disease measures for whole patient cohorts. Calculations can be performed either from within R or by using the accompanying web application, which also enables the graphical visualisation of data and the calculation of comparative statistics. We plan to further develop the package by adding additional RA related criteria and by adding ACR/EULAR related measures for other rheumatic disorders.Disclosure of Interests:Fraser Morton: None declared, Jagtar Nijjar Shareholder of: GlaxoSmithKline plc, Consultant of: Janssen Pharmaceuticals UK, Employee of: GlaxoSmithKline plc, Paid instructor for: Janssen Pharmaceuticals UK, Speakers bureau: Janssen Pharmaceuticals UK, AbbVie, Carl Goodyear: None declared, Duncan Porter: None declared

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

scholarly journals Automatic Evaluation of the Lung Condition of COVID-19 Patients Using X-ray Images and Convolutional Neural Networks

2021 ◽  
Vol 11 (1) ◽  
pp. 28
Author(s):  
Ivan Lorencin ◽  
Sandi Baressi Šegota ◽  
Nikola Anđelić ◽  
Anđela Blagojević ◽  
Tijana Šušteršić ◽  
...  
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Clinical Picture ◽  
Data Augmentation ◽  
Lower Amount ◽  
Training Procedure ◽  
X Ray ◽  
Severe Clinical Picture ◽  
Lung Condition

COVID-19 represents one of the greatest challenges in modern history. Its impact is most noticeable in the health care system, mostly due to the accelerated and increased influx of patients with a more severe clinical picture. These facts are increasing the pressure on health systems. For this reason, the aim is to automate the process of diagnosis and treatment. The research presented in this article conducted an examination of the possibility of classifying the clinical picture of a patient using X-ray images and convolutional neural networks. The research was conducted on the dataset of 185 images that consists of four classes. Due to a lower amount of images, a data augmentation procedure was performed. In order to define the CNN architecture with highest classification performances, multiple CNNs were designed. Results show that the best classification performances can be achieved if ResNet152 is used. This CNN has achieved AUCmacro¯ and AUCmicro¯ up to 0.94, suggesting the possibility of applying CNN to the classification of the clinical picture of COVID-19 patients using an X-ray image of the lungs. When higher layers are frozen during the training procedure, higher AUCmacro¯ and AUCmicro¯ values are achieved. If ResNet152 is utilized, AUCmacro¯ and AUCmicro¯ values up to 0.96 are achieved if all layers except the last 12 are frozen during the training procedure.

scholarly journals FRI0443 CLINICAL CHARACTERISTICS AND RELATED FACTORS OF COMMON RHEUMATIC DISEASES COMPLICATED WITH TUBERCULOSIS INFECTION

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 819.1-819
Author(s):  
L. Long ◽  
G. Tang ◽  
Y. Han ◽  
Q. Peng ◽  
J. Liu ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Weight Loss ◽  
Risk Factor ◽  
High Risk ◽  
Rheumatic Diseases ◽  
Clinical Characteristics ◽  
Control Group ◽  
Average Dose ◽  
Systemic Lupus ◽  
Infection Group

Background:Rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), and syndrome(SS) are common rheumatic diseases with high incidence. Patients with those rheumatic diseases are at high risk of tuberculosis (TB) infection. However, manifestations can be atypical and easily confused with those of rheumatic disease itself. For those patients, diagnosis is usually much more difficult and further make treatment delayed. Sometimes it may lead to mistreatment. Therefore, it is important to recognize the clinical characteristics of those patients.Objectives:To explore the clinical characteristics and high risk factors of common systemic rheumatism complicated with tuberculosis infection.Methods:A total of 3,906 cases of RA, SLE, and SS common systemic rheumatism diagnosed in the People’s Hospital of Sichuan Province from January 2007 to January 2017 were collected with carefully exclusion with other infectious diseases and neoplastic disease. One hundred and five patients with TB were included as infection group, including 42 cases of RA, 41 cases of SLE, and 22 cases of SS. In the control group, 84 patients with RA, 82 patients with SLE, and 44 patients with SS were randomly selected from the corresponding rheumatoid non-infected patients hospitalized during the same period.Results:Fever was the most common symptom among 42 cases of RA, 41 cases of SLE, and 22 cases of SS with TB, accounting for 83.3%, 92.7%, and 68.2%, respectively. Cough, weight loss or fatigue was less common. For 41 cases of SLE and 22 cases of SS with TB, the proportion of pulmonary was 46.3%, 59.01%, respectively.In TB infection group, 27 cases of RA, 21 cases of SLE, and 13 cases of SS with TB had two or more chest CT findings, accounting for 59%, 57%, 62%, respectively. Lesions located in the posterior or posterior segment which TB usually affected were 9 cases(33.3%),9cases(42.9%),6cases(27.2%),respectively.The daily average dose of hormones within 1 year in TB infection group was higher than that in the control group (P<0.05). For SLE patients, lower counts of CD4+TL were found in TB infection group (P<0.05), while no such differences were found in RA and SS group.Conclusion:Patients with RA who have TB infection are mainly pulmonary TB. For SLE and SS patients, the chance of pulmonary tuberculosis and extra-pulmonary tuberculosis is similar.Symptoms of RA, SLE, SS with TB, such as fever, cough, weight loss, fatigue, are similar with the primary disease or other infection. Chest imaging is diversity. It is difficult to diagnose.Daily average dose of hormone within one year may be a common risk factor for RA, SLE and SS patients with TB. Decreased CD4+TL may also be a risk factor for SLE patients with TB.References:[1]Cantini F, Nannini C, Niccoli L, et al. Risk of Tuberculosis Reactivation in Patients with Rheumatoid Arthritis, Ankylosing Spondylitis, and Psoriatic Arthritis Receiving Non-Anti-TNF-Targeted Biologics[J]. Mediators of Inflammation, 2017, 2017(6):1-15.[2]Ruangnapa K, Dissaneewate P, Vachvanichsanong P. Tuberculosis in SLE patients: rare diagnosis, risky treatment.[J]. Clinical & Experimental Medicine, 2015, 15(3):429-432.[3]Manuela D F, Bruno L, Martina S, et al. Lung Infections in Systemic Rheumatic Disease: Focus on Opportunistic Infections[J]. International Journal of Molecular Sciences, 2017, 18(2):293-315.[4]Disseminated tuberculosis masquerading as a presentation of systemic lupus erythematosus.Li JC, Fong W, Wijaya L, Leung YY.Int J Rheum Dis. 2017 Oct 2. doi: 10.1111/1756-185X.13195.[5]Handa R, Upadhyaya S, Kapoor S, et al. Tuberculosis and biologics in rheumatology: India – A special situation[J]. International Journal of Rheumatic Diseases, 2017, 51(2):115.Disclosure of Interests:None declared

scholarly journals AB1280-HPR REQUIRED FORCE TO OBTAIN A POSITIVE SQUEEZE TEST AUTOMATIZED IN PATIENTS WITH HAND ARTHRALGIA

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1931.3-1931
Author(s):  
M. M. Castañeda-Martínez ◽  
G. Figueroa-Parra ◽  
D. Vega-Morales ◽  
B. R. Vázquez Fuentes ◽  
Y. G. Ordoñez Azuara ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Psoriatic Arthritis ◽  
Rheumatic Diseases ◽  
Primary Care Physicians ◽  
Clinical Aspects ◽  
Inflammatory Rheumatic Diseases ◽  
Undifferentiated Arthritis ◽  
Left Hand ◽  
Hand Force ◽  
The Uk

Background:Primary care physicians (PCP) are usually the first contact of people with inflammatory rheumatic diseases, and find the early symptoms of Rheumatoid Arthritis (RA) difficult to distinguish from those of other rheumatic diseases. A time-delay in the reference to Rheumatology is a health issue in several countries. The clinical aspects that general practitioner took into account in hand arthralgia patients are important to make the reference. In particular the Squeeze Test (ST) - which is simple to perform and rapidly done, ST is useful for identifying progression to RA in patients with undifferentiated arthritis. The ST has been described as not reliable because is clinician-dependent.Objectives:To identify the required force that needs to be applied in order to obtain a positive Automatized Squeeze Test (AST) in a cohort of patients with hand arthralgia.Methods:Ninety-seven patients were recruited in Family Medicine Consultation and in Rheumatology Consultation of the Hospital Universitario “Dr. José Eleuterio González” in Monterrey, Nuevo León, México. Eligible patients were adults (aged≥18 years) with hand arthralgia (that wasn’t caused by trauma) as their chief complaint. After obtaining informed consent and after a questionnaire application, patients were submitted to AST maneuver, using an automated compressor with different forces already predetermined in the interface of the software used for compression.Results:In this cohort of 98 patients, 79 (80.6%) were women. The mean age was 51.14 years (SD 14.66). Ninety-six (97.9%) patients were right handed. The diagnoses were Osteoarthritis (OA) (16.3%), RA (5.1%), Undifferentiated arthritis (1.2%), Psoriatic arthritis (1.2%) and Fibromyalgia (2%). Force measures according to diagnoses are reported in Table 1.Table 1.Diagnoses and mean forcesDiagnosisn (%)Right hand force mean (kg/s2) (SD)Left hand force mean (kg/s2) (SD)OA16 (16.3)3.53 (2.74)3.18(2.73)RA5 (5.1)3.60 (2.53)3.16(1.36)UA1 (1.2)7.60(0)8.70(0)PsA1 (1.2)7.60(0)7.80(0)FM2 (2.0)4.11(4.40)1.75(1.06)OA, Osteoarthritis;RA, Rheumatoid Arthritis;UA, Undifferentiated Arthritis;PsA, Psoriatic Arthritis;FM, Fibromyalgia;SD, Standard DeviationConclusion:In the cases of RA and OA, the means of force to obtain a positive AST was lower than in the rest of the diagnoses.References:[1]Stack R, Nightingale P, Jinks C, Shaw K, Herron-Marx S, Horne R et al. Delays between the onset of symptoms and first rheumatology consultation in patients with rheumatoid arthritis in the UK: an observational study. BMJ Open. 2019;9(3):e024361.Disclosure of Interests:None declared

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