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Lara Roberts

@laranroberts1.bsky.social

Haematologist interested in venous thrombosis and acquired bleeding. King's College Hospital, London.

8 Posts213 Follower125 Folgt
josh farkas 💊@pulmcrit.bsky.social · 7mo ago

Fresh blog: STRATIFY trial for PE Peripheral tPA infusion is EQUALLY EFFECTIVE as compared to ultrasound-assisted thrombolysis Catheter-directed thrombolysis for PE is dead We can get the same benefits with peripheral tPA infusions (w/o procedural costs & complications)... #1/2 #EMIMCC

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The BMJ@bmj.com · last yr.

Up to a third of older people who fall are taking prescribed anticoagulants at the time of the incident. This article provides guidance on imaging decisions and anticoagulation management in suspected and confirmed traumatic brain injury www.bmj.com/content/389/...

An older person on stairs
Roopen Arya@thrombosisdr.bsky.social · last yr.

Interested in pregnancy-associated VTE? Do you use the RCOG GTG 37a? Here's a commentary @bjog.bsky.social from the guideline update committee. doi.org/10.1111/1471... @isth.org @bhwords.bsky.social @profmakris.bsky.social @middeldorps.bsky.social @fniainle.bsky.social @laranroberts1.bsky.social

OBGYN

Between 2020 and 2022 in the United Kingdom (UK), there were 45 maternal deaths from venous thromboembolism (VTE), out of more than 2 million maternities. This occurred despite extensive risk assessm...

doi.org

RPTH@rpth.bsky.social · last yr.

Congratulations to the 2025 Editor’s Awards Recipients! We invite the community to read and share their important contributions ⬇️

International Society on Thrombosis and Haemostasis@isth.org · last yr.

Congratulations to the 2025 @rpth.bsky.social Editor’s Awards Winners! 🏆 These awards recognize outstanding contributions from early career researchers whose work demonstrates excellence and impact. Join us in celebrating this year’s honorees! 📖 Read more: bit.ly/4lbc7bk #Thrombosis #Hemostasis

Marc Carrier, MD@marccarriermd.bsky.social · 2y ago

The Repeat Study addressed a really important knowledge gap! The incidence of recurrent events following an ante- or postpartum VTE is 2.4% person-years. The cumulative risks are 6%, 13%, 17%, and 30% at 2, 5, 10, and 30 years respectively www.jthjournal.org/article/S153... @jthjournal.bsky.social

High risk of long-term recurrence after a first episode of venous thromboembolism during pregnancy or postpartum: the REcurrence after a PrEgnAncy related Thrombosis (REPEAT) Study

The long-term recurrence risk after a pregnancy-associated venous thromboembolism (VTE) is sparsely assessed.

jthjournal.org

RPTH@rpth.bsky.social · 2y ago

Read this State of The Art review on transfusion therapy in trauma first presented at the @isth.org 2024 Congress: Transfusion in trauma: empiric or guided therapy? Full paper here: www.rpthjournal.org/article/S2475-0379(24)00358-3/fulltext

Transfusion in trauma: empiric or guided therapy?

A state of the art lecture titled “Transfusion therapy in trauma—what to give? Empiric vs guided” was presented at the International Society on Thrombosis and Haemostasis Congress in 2024. Uncontrolle...

rpthjournal.org

Prof Julia Steinberger 🌹🌱🌍 #ClimateAction #Fightfascism@jksteinberger.bsky.social · 2y ago

As promised, here are the slides I shared with students to convince them to NOT use chatGPT and other artificial stupidity. TL;DR? AI is evil, unsustainable and stupid, and I'd much rather they use their own brains, make their own mistakes, and actually learn something. 🪄

NO CHATGPT Or other artificial stupidity: motivation First, clarity on distinguishing AIs: Non-generative: grammar aid, translation, dictionary, text-to-audio (e.g. Natural Reader): no problem As long as you use the appropriate tools (least intensive in data and server energy use). Why? Because you provide the content. Your brain is doing the most important work Generative: ChatGPT & Co. You only supply the prompt, the AI supplies the content. Why is this delegation of work problematic? 3 domains: ethical, environmental, intellectual engagement. (Caveat: generative is probably ok for computer programming, where it can be useful and save time. Not relevant to this class.) 1) AI and ethics Mass theft of all and everything «learning» on books, articles, blogs, social media, images, music, cultural production, without permission of authors/creators, and leading to their mass joblessness. Profits are not reditributed to originators. Permanent destruction of the mental health of underpaid precarious tech workers in the Global South (Kenya, Philippines …): «correction» to avoid production of violent and pedophile contents etc, tech workers are obliged to watch and correct super violent contents for days on end, leading to extreme psychological suffering and trauma, from which recovery is doubtful. No or little compensation (certainly not at the level of the suffering inflicted). In short, an industry built on theft of real human creation and sacrifice of real human health, profiting a few megafortunes. 2) AI and (un)sustainability Massive consumption of electricity, water, server capacity for generative AI. Outcome: keep fossil fuel companies in business, using up new renewable capacity, without any satisfaction of basic human needs. Massive misappropriation of the finance necessary for climate and ecological action (renewable generation, efficiency and retrofit for buildings, public transit, infrastructures for cycling etc) towards AI industry. Overall: undermine climate action, reinforce fossil industry, waste resources necessary for human development. 3) AI and intellectual engagement First, what learning is (or should be) about: The goal should not (only) be the reproduction of «correct» knowledge, But mainly personal engagement and experience of thinking about topics of interest. Personal engagement = using one’s own brain. The most important activity for learning and intellectual engagement is the experience of making one’s own mistakes, by trial and error, corrections based on new ideas, starting over again. Learning to recognise nuances, knowledge gaps, better explanations This kind of learning is possible only through using your own brain, not AI. Also, Ais are not «intelligent». At all. They simply reproduce pre-existing patterns. They «bullshit», invent false references, false facts, false data, simply because those sound plausible. VERY DANGEROUS. If you learn how to NOT use AI, and how to research facts and data on your own, this will serve you and your communities for the rest of your life.
Prof Julia Steinberger 🌹🌱🌍 #ClimateAction #Fightfascism@jksteinberger.bsky.social · 2y ago

Blessings of the morning: going over student weekly reading reports, and as requested, they didn't use chatgpt. It's all full of life and originality and actual thinking, confusion, brain work. 😍😍😍 Will share the anti-AI motivational slides I showed them, French and English versions, a bit later.

Journal of Thrombosis and Haemostasis@jthjournal.bsky.social · 2y ago

Introducing JTH’s new Educational Review Series—your go-to resource for fundamental insights into critical topics in thrombosis and hemostasis ⬇️

International Society on Thrombosis and Haemostasis@isth.org · 2y ago

Big news from @jthjournal.bsky.social: a NEW Educational Review Series designed to break down the basics of key topics in thrombosis & hemostasis!🔬 These reviews are must-read resources for clinicians, researchers, and healthcare professionals looking to strengthen their expertise: bit.ly/3EAaVNZ

RPTH@rpth.bsky.social · 2y ago

Pulmonary embolism (PE) diagnosis 🫁: 🔹 Different D-dimer assays = big impact on CT usage & yield. 🔹 Standardized assays or tailored cutoffs could reduce unnecessary scans and improve accuracy. Find out which assays were tested here: https://buff.ly/4hcXDoF

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