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Leora Horwitz Profile picture
@leorahorwitzmd
Aug 10, 2020 • 4 tweets • 2 min read • Read on X
I hate recording talks. I rely so much on audience cues to see if they are lost, confused, interested, engaged, annoyed, and I adjust accordingly. I love interaction. Live talks make me energized and I have so much fun giving them. But. I recorded a talk for #MLHC2020 /1
And instead of maybe 25 or 50 people seeing it live, now over 300 have watched it on YouTube, including my mother in law (thanks, Mom!) and apparently people in Ghana (thanks @aowusuda!) and Ireland (thanks @EvaDoherty!). @HardeepSinghMD even summarized it beautifully. /2
Does this make up for the loss of engagement and interaction that #COVID19 is forcing on us? I admit it is a real benefit I had not appreciated. Being able to reach people around the world who would otherwise be unable to access the conference is rewarding in its own way. /3
Obviously YouTube reach and democratization of knowledge access is well recognized already, but it is making me rethink my dread of my course on healthcare delivery science this fall, which has to be remote. Maybe I should make lemonade and post those lectures publicly too. /end

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More from @leorahorwitzmd

Leora Horwitz Profile picture
Dec 19
Out today in @jama_current, the 2024 update to the #NIHRECOVER 2023 #LongCOVID index. Explainer follows. 🧵 1/njamanetwork.com/journals/jama/…
We use the same methodology as in 2023 to update the index, but now include data on >3,800 more people. See this 2023 explainer for details of the methodology, not repeated here. 2/n
What’s new? Two symptoms newly contribute points: shortness of breath (2 points) and snoring/sleep apnea (1 point). (Sleep disturbance was in the original but rounded to 0 points.) 3/n
Read 18 tweets
Leora Horwitz Profile picture
May 25, 2023
1st #NIHRECOVER adult cohort results are out today in @JAMA_current, proposing an expanded working definition of #LongCovid (aka post-acute sequelae of SARS-CoV-2 [PASC]). Led by @tthaweethai, this is a dense paper with a ton of results. Buckle up! 🧵
jamanetwork.com/journals/jama/…
#NIHRECOVER Adult is a cohort study of ~15k adults with/without #COVID, followed prospectively. They answer symptom surveys every 3 months and do additional tests yearly. 93% of cohort has been enrolled; this paper includes 9,764 participants. recovercovid.org
Main goal of this paper is to establish an expanded, working symptom-based definition of #LongCOVID for research purposes. Please note we do not propose this as a clinical definition right now pending further validation & refinement.
Read 24 tweets
Leora Horwitz Profile picture
Apr 9, 2022
Have been too busy enjoying seeing people in person and seeing so much great research at #SGIM22 to have been tweeting, but what a great meeting. @nyugrossman was out in force /1
Med student Kyle Smith had a wonderful oral presentation on how we have developed a method of finding people on oral anti psychotics who haven’t had a1c testing (no pics cause I was so busy watching!) with @SaulBlecker /2
T32 trainee Rachel Engelberg had a great poster on incarceration and health outcomes /3
Read 4 tweets
Leora Horwitz Profile picture
Jan 30, 2022
Fascinating article about how research into types and efficacy of traffic stops in multiple CT communities led to changes that both reduced disparities in stops and better targeted actual public safety issues. Some examples follow:
In Newington, 40% (1,608) traffic stops were for defective lights but found only 1 DUI. Dept switched focus to moving violations (defective lights ⬇️67%, moving violations ⬆️60%). Stops with DUI arrest ⬆️250%, from 18 to 63, and disparities substantially reduced: safer & fairer!
Hamden tried increasing stops for admin issues (lights, registration) to reduce crime in Black neighborhood but rarely found contraband (7%), no effect on crime, caused huge disparities. Switched to stops for hazardous driving: crime ⬇️5%, accidents ⬇️10%, found more contraband.
Read 4 tweets
Leora Horwitz Profile picture
Jan 4, 2022
A lot of chatter about hospitalization "with" versus "for" COVID, implying current hospitalization wave isn't "real." NY state is going to start trying to report the distinction; UK already does. Some thoughts, with exemplar data. /1
1st, not so easy to tell. Our health system calls "for" COVID: patients with problem list or clinical impression of respiratory failure with hypoxia (various codes), or x "due to COVID" or COVID positive is the only problem. Specific, but likely not very sensitive. /2
That is, people who meet those criteria are very likely being admitted for COVID, but others will be missed (e.g. diagnosis pneumonia, sepsis, COVID-related stroke/heart attack/PE). So, likely an underestimate. Still, if used consistently, may be useful approximation. /3
Read 8 tweets
Leora Horwitz Profile picture
Dec 22, 2021
Phenomenal preprint from South Africa on #omicron severity. Insanely fast analysis with multiple linked national datasets. Kudos to the authors. Results? You'll see headlines about reduced severity, but full story more complicated. My thoughts. medrxiv.org/content/10.110…
First off, methods. They link lab tests, case data, genome data and hospital data from across all of South Africa. (Wow!) They use a proxy for omicron (SFTF) and require Ct <=30 ("real" infection).
Then they run two comparisons: omicron vs not omicron Oct-Nov, and omicron Oct-Nov vs delta Apr-Nov, and compre frequency of hospitalization and of severe disease (=hospitalised + any of ICU/O2/ventilated/ECMO/ARDS/death). Outcomes assessed on 21 Dec (day preprint posted?!).
Read 18 tweets

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