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Rheumatology Network interviewed Nicholas Brisson, PhD, to discuss his recent study, “Association of machine learning based predictions of medial knee contact force with cartilage loss over 2.5 years in knee osteoarthritis." The study discovered that machine learning was able to develop an equation for predicting medial tibiofemoral contact force (MCF) peak, which supports the theory that mechanical loading directly contributes to disease progression.

Caring for Caregivers

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Caregivers are a rheumatologist's most important allies. Learn the warning signs of caregiver burnout and how to combat the symptoms. Remember: their health is prerequisite to patient care.

Bryant England, MD, PhD, discusses his study, "Risk of COVID‐19 in Rheumatoid Arthritis: A National Veterans Affairs Matched Cohort Study in At‐Risk Individuals." Investigators found that patients with rheumatoid arthritis (RA) are not only at a higher risk for contracting COVID-19, they are more likely to have severe outcomes, such as hospitalization and death, when compared with the general population.

Both patients with early rheumatoid arthritis (ERA) and those at-risk for developing rheumatoid arthritis (RA) had a significantly different oral microbiome when compared with a control group. Most notably, the pro-inflammatory discriminative zero-radius operational taxonomic units (zOTUs), Prevotella and Veillonella, were much more prevalent in these groups than in patients with no history of autoimmune conditions.