scholarly journals Towards a Universal Definition of Disease Activity Score Thresholds: The AS135 Score

Author(s):  
Nathan Foulquier ◽  
Baptiste Chevet ◽  
Guillermo Carvajal Alegria ◽  
Léa Saraux ◽  
Valérie Devauchelle-Pensec ◽  
...  

Abstract Background Many study groups have developed scores to reflect disease activity. The result of this fragmented process is a multitude of disease activity scores, even for a single disease. Design: To identify and standardize disease activity scores in rheumatology, we conducted a literature review on disease activity criteria using both a manual approach and in-house computer software (BIBOT) that applies natural language processing to automatically identify and interpret important words in abstracts published in English between 1.1.1975 and 31.12.2018. We selected activity scores with cut-off values divided into four classes (remission and low, moderate and high disease activity). We used a linear interpolation to map disease activity scores to our new score, the AS135, and developed a smartphone application to perform the conversion. Results A total of 108 activity criteria from various fields were identified, but it was in rheumatology that we found the most pronounced separation into four classes. We built the AS135 score modification for each selected score using a linear interpolation of the existing criteria. The score modification was defined on the interval [0,10], and values of 1, 3 and 5 were used as thresholds. These arbitrary thresholds were then associated with the thresholds of the existing criteria, and an interpolation was calculated, allowing conversion of the existing criteria into the AS135 criterion. Finally, we created a mobile application. Conclusion We developed an application for clinicians that enables the use of a single disease activity score for different inflammatory rheumatic diseases using an intuitive scale.

2020 ◽  
Author(s):  
Nathan Foulquier ◽  
Baptiste Chevet ◽  
Guillermo Carvajal ◽  
Lea Saraux ◽  
Valérie Devauchelle-Pensec ◽  
...  

BACKGROUND Many study groups have developed scores to reflect disease activity. The result of this fragmented process is a multitude of disease activity scores, even for a single disease. OBJECTIVE To identify and standardize disease activity scores in rheumatology. METHODS We conducted a literature review on disease activity criteria using both a manual approach and in-house computer software (BIBOT) that applies natural language processing to automatically identify and interpret important words in abstracts published in English between 1.1.1975 and 31.12.2018. We selected activity scores with cut-off values divided into four classes (remission and low, moderate and high disease activity). We used a linear interpolation to map disease activity scores to our new score, the AS135, and developed a smartphone application to perform the conversion. RESULTS A total of 108 activity criteria from various fields (rheumatology, dermatology, gastroenterology, psychiatry, neurology and pneumology) were identified, but it was in rheumatology that we found the most pronounced separation into four classes. We built the AS135 score modification for each selected score using a linear interpolation of the existing criteria. The score modification was defined on the interval [0,10], and values of 1, 3 and 5 were used as thresholds. These arbitrary thresholds were then associated with the thresholds of the existing criteria, and an interpolation was calculated, allowing conversion of the existing criteria into the AS135 criterion. Finally, we created a mobile application. CONCLUSIONS We developed an application for clinicians that enables the use of a single disease activity score for different inflammatory rheumatic diseases using an intuitive scale. CLINICALTRIAL


10.2196/24493 ◽  
2020 ◽  
Author(s):  
Nathan Foulquier ◽  
Baptiste Chevet ◽  
Guillermo Carvajal ◽  
Lea Saraux ◽  
Valérie Devauchelle-Pensec ◽  
...  

Autoimmunity ◽  
2009 ◽  
pp. 1-1
Author(s):  
Jose Miguel Sempere-Ortells ◽  
Vicente Perez-Garcia ◽  
Gema Marin-Alberca ◽  
Alejandra Peris-Pertusa ◽  
Jose Miguel Benito ◽  
...  

2019 ◽  
Vol 13 (2) ◽  
pp. 140-148
Author(s):  
Mai Nasser ◽  
Noha M. Hazem ◽  
Amany Atwa ◽  
Amina Baiomy

Background: Rheumatoid Arthritis (RA) is an autoimmune, chronic, and systematic disease. It affects joints and bones. The exact etiology of RA is still unclear. Varied genetic and environmental factors have been associated with the increased risk for RA. Overactivation of Toll-Like Receptors (TLRs) could initiate the development of autoimmune diseases including RA. Objective: The aim of the study was to evaluate TLR2 gene expression in rheumatoid arthritis patients and investigate its correlation with the disease activity. Materials and Methods: This study included 60 patients and 20 healthy individuals. The patients were diagnosed with RA according to the 2010 American College of Rheumatology/ European League Against Rheumatism criteria (ACR/EULAR). All included subjects did not have any joint disorders and /or autoimmune diseases. RA disease activity was determined by the disease activity score of 28 joints. Whole blood was collected from all participants. Total RNA extraction was done. TLR2 mRNA expression was assessed by reverse transcription-PCR (RT-PCR). Results: TLR2 mRNA expression was found to be significantly higher in RA patients compared to healthy controls. Also, a strong positive correlation was found between TLR2 expression level and the disease activity score. A non significant positive correlation was found between TLR2 expression and serum Rheumatoid Factor (RF) level. Conclusion: TLR2 pathway may have an important role in RA pathogenesis and could be a new biomarker for diagnosis and monitoring disease activity.


Author(s):  
Sahar A. Ahmed ◽  
Enas M. Darwish ◽  
Walaa A. Attya ◽  
Mai Samir ◽  
Mennatallah Elsayed ◽  
...  

Background: Rheumatoid arthritis (RA) is a common progressive chronic inflammatory autoimmune disease which affects mostly small joints, causing pain, swelling, deformity, and disability. Although progress has been made in exploring RA nature, still there is a lot to know about the disease pathogenesis, diagnosis, and treatment. Aim of the Work: To investigate the role of serum anti-carbamylated protein antibodies and 14-3-3η in the diagnosis of RA compared to rheumatoid factor (RF), anti-CCP antibodies, and highfrequency musculoskeletal ultrasound used to assess the disease activity and joint damage. Methods: Serum anti-carbamylated protein antibodies and 14-3-3η were measured using ELISA in 61 RA patients and 26 normal controls. RA Disease Activity Score (DAS 28), X-ray and musculoskeletal ultrasound (hands and feet), carotid ultrasound (Intima-Media Thickness IMT) were used in assessing the RA disease. Results: Anti-carbamylated protein antibodies were significantly elevated in RA patients 4.5 (4.1- 8.9 U⁄ml) compared to the control 3.2(1.9- 4.3 U⁄ml) (p< 0.001) but 14-3-3η showed no significant difference. There was a significant positive correlation between anti-carbamylated protein antibodies, 14-3-3η levels and disease activity score assessed by DAS 28, increased IMT measured by carotid duplex, total synovitis and total erosion score were assessed by musculoskeletal ultrasound. There was no correlation between RF and anti-CCP antibodies. Anti-carbamylated protein antibodies were found to have 66.7% sensitivity and 85.2% specificity in RA diagnosis, while 14- 3-3η had 51.9% sensitivity and 72.1% specificity. Conclusion: Anti-carbamylated protein antibodies and 14-3-3η have a high sensitivity and specificity in RA diagnosis and had a correlation with the disease activity and joint damage.


2013 ◽  
Vol 72 (Suppl 3) ◽  
pp. A48.3-A49 ◽  
Author(s):  
C. A. Scirè ◽  
C. Viroli ◽  
M. Manara ◽  
M. A. Cimmino ◽  
M. Govoni ◽  
...  

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