1/ My time-to-tweet interval re: #ASCO23 myeloma abstracts is longer than my time-to-toci with CAR-T, but finally off 🏥 service and excited to tweet about a few #MMsm gems!
My research focuses on ⬇️ AEs, ⬇️ time tox, & improved workflows. Here are a few that stood out to me:
2/ @bhemato et al, CARTITUDE-4 (cilta-cel in #MMsm 1-3 prior lines).
Beyond dramatic PFS benefit, worth 🔨 home that CAR-T "one & done" (visits become ≤1x per month) vs DPd/VPd [even stronger DKd] always ≥1x visit/month.
Ideally Kyprolis will be q2wk and #downwithdex in RRMM (cc @jmikhaelmd), but pom less temperamental than len in CKD plus (?) ⬇️ risk of SPMs... so I'm all in!
For patients with functional high-risk myeloma (e.g., relapse ≤18 mo of 1st-line Tx), any good summary of data for functional high-risk vs high-risk FISH vs both?
Summarizing what I found so far, but I know I must be missing a few studies!
2/ In KarMMa-2 Cohort A from #ASH22 by @szusmani@DrKrinaPatel et al, 37 patients with #MMsm enrolled in early ide-cel trial for functional high-risk.
Of n=22 with evaluable FISH (I wish it were a little higher), 45% didn't have any high-risk features.
(1/20) Just finished leading a conference about #COVID19 and hematology. >50% of my citations were preprints, so that got me thinking: why write my own preprint when I can just do a tweetorial? So here goes: 🎺🥁[fanfare] COVID-19 for the HEME CONSULT fellow or attending.
(2/20) This is a saga about #COVID19 and non-malignant hematology* in three chapters: 1) COVID-19 and lymphocytes 2) COVID-19 and platelets 3) COVID-19 and RBCs
* Or should I say, “classical hematology.”
(3/20) For #COVID19 and lymphocytes: Lymphopenia is bad, and lymphocyte % (on diff) starting <20% ➡️5% over time is even worse. Mehh methods but good commentary, spelled out in this excellent tweetorial by @Leo_ReapDO