Machine Learning May Diagnose Psoriatic Arthritis Earlier
A machine learning approach was applied to two different population cohorts and was shown to be effective at the early identification of undiagnosed psoriatic arthritis (PsA).
A machine learning approach was applied to two different population cohorts and was shown to be effective at the early identification of undiagnosed psoriatic arthritis (PsA).
This week, Dr. Jack Cush reviews the news with special guest, Dr. Peter Nash. They discuss COVID Autoantibodies, SpA life expectancy, HCQ, extraarticular RA and our approach to Early RA referrals and pre-clinical RA.
A Mayo Clinic population based cohort study shows the extraarticular manifestations of rheumatoid arthritis (ExRA) have declined with time; but the increased mortality risk of RA remains unchanged.
Daily hydroxychloroquine (HCQ) is better than an apple a day; as a new study shows that adherence to the antimalarial agent significantly lowers future risk of cardiovascular events in rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE) patients.
Early diagnosis of inflammatory arthritis (IA) is rooted in patient (self or MD) referrals. A recent analysis shows only a minority of rheumatology referrals had inflammatory arthritis, with only 21% were seen within the first 6 weeks of symptoms.
The safety of tofacitinib and TNF inhibitors was studied in high risk rheumatoid arthritis (RA) patients in the ORAL Surveillance study, which culminated in an FDA warning in January 2021 on the cardiovascular, cancer and VTE risks associated with JAK inhibitor use.
A large cohort study has shown that rheumatoid arthritis (RA) patients are at an increased risk of developing aortic stenosis (AS), undergoing aortic valve intervention, or AS-related death.
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