#Neuroscience #Immunology #Biochemistry #MS #sflorg
https://www.sflorg.com/2025/10/ns10152502.html
What can be done about multiple sclerosis?
Consult your doctor! In the initial stages of the disease, symptoms may be intermittent.
For this reason, the disease is difficult to diagnose.
#brain #braindisease #multiplesclerosis #sclerosis
#multiplesclerosisdiagnosis
The Global Systemic Sclerosis Market is anticipated to expand at a compound annual growth rate (CAGR) of 6.0% throughout the forecast period of 2024 to 2031
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Key Factors Linked to Decreased Physical Function in Systemic Sclerosis Patients Identified https://researchinenglish.com/article/2024.0/key-factors-linked-to-decreased-physical-function-in-dvk9n4rl
#health #medicine #sclerosis #ssc #scleroderms #research #news #autoimmune
Researchers from Pritzker Molecular Engineering, under the guidance of Prof. Jeffrey Hubbell, demonstrated that their compound can eliminate the autoimmune response linked to multiple sclerosis. Researchers at the University of Chicago's Pritzker School of Molecular Engineering (PME) have developed
"Compared to #women without axial spondyloarthritis (ax-SpA), women with ax-SpA had a significantly higher prevalence of bone marrow edema (BME), #sclerosis, erosions, and ankylosis." (Maxime Pastor et al.)
🔗 https://link.springer.com/article/10.1007/s00330-023-09969-3
Objective To compare sacroiliac joint (SIJ) lesions on MRI in women with versus without axial spondyloarthritis (ax-SpA) and establish an algorithm to determine whether such lesions are due to ax-SpA. Methods This retrospective comparative study assessed bone marrow edema (BME), sclerosis, erosions, osteophytes, and ankylosis at the SIJ in two groups of women, one with and another without ax-SpA. Sensitivity and specificity were calculated for combinations/characteristics of lesions, using rheumatologists’ assessment with assessment of spondyloarthritis international society (ASAS) criteria as the gold standard for diagnosis of ax-SpA. Results Compared to women without ax-SpA, women with ax-SpA had more BME (61% vs 17%, p < 0.001), sclerosis (40% vs 22%, p < 0.001), erosions (35% vs 5%, p < 0.001), and ankylosis (2% vs 0%, p = 0.007), but less osteophytes (5% vs 33%, p < 0.001). The ASAS MRI criteria yielded 59% sensitivity and 88% specificity, while a new algorithm achieved 56% sensitivity and 95% specificity using the following criteria: no osteophytes at the SIJ and either (i) BME at the SIJ with at least one dimension ≥ 8 mm or (ii) at least one erosion at the SIJ. Conclusions We recommend the following pragmatic algorithm for MRI diagnosis of ax-SpA in women: no osteophytes at the SIJ and either (i) BME at the SIJ with at least one dimension ≥ 8 mm or (ii) at least one erosion at the SIJ. The false positive rate when using the new algorithm (3.3%) is less than half than when using the ASAS MRI criteria (7.7%); thus, its application in clinical practice could reduce overdiagnosis and prevent overtreatment of ax-SpA. Clinical relevance statement The developed algorithm has a false-positive rate that is less than half than when using the ASAS MRI criteria (3.3% vs 7.7%), thus its application in clinical practice could reduce overdiagnosis and prevent overtreatment of axial spondyloarthritis. Key Points • Compared to women without axial spondyloarthritis (ax-SpA), women with ax-SpA had a significantly higher prevalence of bone marrow edema (BME), sclerosis, erosions, and ankylosis, but a significantly lower prevalence of osteophytes. • A new algorithm for positive ax-SpA based on sacroiliac joint MRI was developed: no osteophytes at the sacroiliac joint (SIJ) and either (i) BME at the SIJ with at least one dimension ≥ 8 mm or (ii) at least one erosion at the SIJ. • We recommend this new algorithm for diagnosis of ax-SpA in women, as it has a significantly better specificity than the assessment of spondyloarthritis international society (ASAS) MRI criteria and less than half the false positive rate; thus, its application in clinical practice could reduce overdiagnosis and prevent overtreatment of ax-SpA.
Benchmarking Continuous Time Models for Predicting Multiple Sclerosis Progression