Which subsets of GCA pt might benefit most from upadacitinib? Sub-analysis from SELECT-GCA presented today: 💥Both relapsing and refractory disease 💥Pt w hx of PMR 💥Non-smokers 💥No hx ischemic eye dz In general, most subgroups still favor UPA @RheumNow #ACR24 Abst 1695 https://t.co/pX5hcX4TmR

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Sun et al. MMF+MTX vs CYC/AZA in Takayasu. Overall response rates week 28 58.1% vs 32.4%, week 52 55.4% vs 32.4%. So MMF+MTX>CYC/AZA. But I'm not sure what to do with these results. How does it compare to toc or ada? @RheumNow #ACR24 Abstr#1696 https://t.co/Jr6S2c6AKs https://t.co/L8pMFJ5hnj

• Comparison of Mycophenolate Mofetil Plus Methotrexate versus Cyclophosphamide w…
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Very neat simulated model of GC regimens in AAV pt on fixed RTX by @zach_wallace_md and co Over 5 years: - No difference in relapse btwn standard GC vs. minimal GC + avacopan - Higher DMII rates in standard group Adds to trial + real world data @RheumNow #ACR24 Abst 1598

Belimumab, anifrolumab and voclosporin exhibited an increase in claims from 2017-2022 for #SLE Belimumab ~ 600% increase!! @RheumNow #ACR24 abst#1259 https://t.co/norl1xk2KF

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#SLE treatments #ACR24: Compared efficacy & safety of belimumab vs. telitacicept (targets B-lymphocyte stimulator (BLyS) and proliferation-inducing ligand(APRIL)) Both improved disease activity with no difference in efficacy Belimumab had lower infection rates @RheumNow abst1544

More data from PAISLEY, deucravacitinib in SLE Small but significant benefit w/respect to joints, a little disappointing tbh Would like to see this for all manifestations ie pericarditis, pleuritis, etc Anyone have an infographic or useful chart? #ACR20 @RheumNow Abstr#1552 https://t.co/tXUoUtssxo

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Alright help me out here; this is pretty implausible, right? Why would be pts be 11% more adherent to UPA? What's the bio-plausibility here? UPA 10% better than other JAKs? Could do a network meta analysis; betting this doens't replicate #ACR24 @RheumNow Abstr#1362 https://t.co/vpPq3vu9Wf

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Gonzalez Molina et al. MANHATTAN observational study. In PsA after 1st TNFi failure should we use guselkumab or 2nd TNFi? Guselkumab slightly better persistence, DAPSA, and improvements in joint counts. @RheumNow #ACR24 Abstr#1469 https://t.co/X3TMCVys6B https://t.co/vvkUYbzVDq

• Manhattan Study: Observational, Ambispective Study to Describe Persistence and …
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TYK2/JAK1 in Dermato? Interesting pre-clinical study of brepocitinib... but we really just need clinical data Glad to see this is headed straight to a Phase 3! Hoping they allow IVIG: has been a problem with many/most/all? recent dermato studies #ACR24 @RheumNow Abstr#0882 https://t.co/KS8fTMBpPR

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In this large 🇦🇺 RA cohort, median time on treatment for upadacitinib was lot higher than other JAKi (28mo vs 17mo) Why? Patient selection, or a real difference between JAKi? Would really like more comparative effectiveness data between JAKi #ACR24 OPAL group ABST1370 @RheumNow https://t.co/OU2ayzqIc8

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Zhou et al. Phase 2 RCT of XKH004, IL17A/Fi in AxSpA. ASAS40 50.4% vs 25%. Slightly odd dose response variation, but maybe just noise. @RheumNow #ACR24 Abstr#1453 https://t.co/SsTSThFzro https://t.co/C9yK2G4tqB

• Efficacy and Safety of the Recombinant Anti-human IL-17A/F Humanized Monoclonal…
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Getting more data on using deucravacitinib for PsO/PsA manifestations Impressive effect on scalp psoriasis (which often means a lot to patients) Given how safe it is, it's increasingly tempting to use more of it in mild-mod PsA #ACR24 PSORIATYK SCALP trial ABST1137 @RheumNow https://t.co/vxS3RSlIN0

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Abst #1473 evaluated association of SJC in PROs from 2 Bimekizumab trials (bDMARD naïve vs TNFi-IR) -bDMARD naïve had less SJC at baseline -In both groups, pts w lower SJC had sustained improvement in pain and fatigue over time. #ACR24 @RheumNow https://t.co/zwxsSbga7c

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What do current national/international rheumatology association guidelines say about perioperative discontinuation of biologics? it's highly, highly variable no wonder people get confused! #ACR24 ABST1037 @CatherineL_Hill @RheumNow https://t.co/cmJ3qKU1QT

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Late-onset asthma but earlier EGPA diagnosis? Abstract 1604 used IQVIA data to develop a machine learning model for better EGPA dx. Key predictors included eosinophilia, asthma, chronic sinusitis, multiple CXRs, skin biopsies, and GC prescriptions. @RheumNow #ACR24