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ICYMI: Taking AI Out of AutoImmunity: Predicting disease before it develops
the predictive value of a positive ANA test—especially in the absence of other clinical symptoms—remains a challenge. A positive test often leads to further testing, yet it does not necessarily indicate whether a patient truly has an underlying autoimmune disease. The development of AI and machine learning algorithms presents an opportunity to interpret autoantibody tests and predict autoimmune diseases. Here are three studies looking at this issue.
Read ArticleIs Your Practice Up to Date? New Guidelines for SLE Nephritis
Randomized controlled trials (RCTs) drive guidelines; guidelines drive clinical practice. Because updated guidelines lag trials by many years and dissemination of guidelines takes additional time, rheumatologists often practice “behind the data.” The 2024 ACR Guidelines for the Management of SLE Nephritis reaffirmed many of our typical practice patterns, including hydroxychloroquine for all, renin/angiotensin blockade, and favoring mycophenolate mofetil over cyclophosphamide.
Read ArticleICYMI: How Online Searches Reveal Patient Needs
Managing health conditions is rapidly evolving as patients increasingly turn to online resources for answers—over 65% search for health-related questions online. Our study analyzed Google search trends for rheumatic disease topics, offering a fascinating glimpse into how online search behavior can reveal patient needs and experiences. This approach, known as "infodemiology," tracks real-time Google Trends data to understand symptom- and treatment-related searches for rheumatic conditions.
Read ArticleDr. John Cush RheumNow ( View Tweet)
RA: One JAK to Rule Them All? Dr. Brian Jaros reports on abstract 1362, presented at #ACR24. https://t.co/QChMyma3Y2 https://t.co/qq3BqpT2Gh