Jonathan Bortinger (@JBortinger) header
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General Internal Medicine, Health Equity, Patient Safety

Boston, MA
Joined June 2009
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Jonathan Bortinger retweeted
Hi all, The Lp(a) HORIZON trial has released topline data and, quite shockingly, missed its primary endpoint. In other words, lowering Lp(a) in patients with prior MI, stroke or peripheral arterial disease, who were otherwise very well treated for LDL-C, blood pressure, diabetes and other risk factors, did not reduce the primary cardiovascular endpoint. We obviously need to see the full data before making firm conclusions, and I don’t want to speculate too much without the details. But this is a big enough result that it is worth summarizing what we know, what we don’t know, and what this may mean for our patients after 20+ years of trying to test the “Lp(a) hypothesis.” What we know: 1-There are hundreds if not thousands of genetic, epidemiologic and Mendelian-randomization studies showing that elevated Lp(a) is associated with MI, stroke, peripheral arterial disease and aortic stenosis. That body of evidence is very strong. 2-However, much of those data come from community-based populations, often before the era of intensive LDL-C lowering and modern secondary prevention. 3-There has been much less information about how much residual risk Lp(a) carries in someone who has already had an event and is then treated very aggressively. 4-HORIZON may have had some of the best-treated patients of any recent cardiovascular outcomes trial. Baseline LDL-C was about 65 mg/dL, a measured LDL-C contains the cholesterol carried on Lp(a), so in reality, 15-20 points lower. 5-In patients with very high Lp(a), if you correct LDL-C for Lp(a)-cholesterol, the actual LDL-C carried by LDL particles may have been closer to 45–50 mg/dL, perhaps even lower in some patients. 6-This raises a very basic question: Can you still demonstrate a major incremental benefit from lowering another apoB-containing particle when the underlying LDL burden has already been driven this low? What we don’t know: 1-What was the actual corrected LDL-C in these patients? I think it would be extremely informative to directly measure Lp(a)-C and calculate corrected LDL-C. This may tell us a lot about the biological setting in which pelacarsen was being tested. 2- What was the OxPL status? Our prior work has suggested that much of the pro-inflammatory biology associated with Lp(a) is related to its enrichment in oxidized phospholipids. Did OxPL fall? Did patients with higher OxPL derive more benefit? Was Lp(a) concentration actually identifying the patients with the most pathogenic particles? 3- Did we measure the right component of Lp(a) for trial inclusion? We generally measure molar particle concentration. But is molar concentration itself the main driver of risk, or is it partly a surrogate for what the particle carries? Cholesterol? Triglycerides? Oxidized phospholipids? Other proteins? Could two patients with the same Lp(a) concentration have very different Lp(a)-mediated risk? I think this question deserves much more attention. 3- Were the genetic data telling us exactly what we thought they were telling us? The genetic data are extremely compelling, but genetics reflect lifelong exposure. A clinical trial treats patients late in life, often after decades of arterial injury and after an event has already occurred. Those are not necessarily the same experiment. Could there also be some unrecognized biology linked to the LPA locus that we have not completely accounted for? That possibility should at least be considered. 3- Does very low LDL-C modify the Lp(a) risk relationship? Maybe Lp(a) is particularly important when LDL-C is higher, but its contribution becomes smaller once LDL-C is driven to very low levels. Again, we need the data. 4- Does aspirin or other antiplatelet therapy reduce part of the risk associated with Lp(a)? Lp(a) has potentially important prothrombotic effects. Almost everyone in a trial like HORIZON is receiving contemporary antiplatelet therapy. Could that blunt one component of the risk associated with Lp(a)? 5- Why are these patients still having events? This may be one of the most interesting questions of all. These are patients with LDL-C around 65 mg/dL, and perhaps corrected LDL-C substantially lower, yet cardiovascular events continue to occur. What is driving that residual risk? Inflammation? Thrombosis? Plaque burden that is already too advanced? Other lipoprotein characteristics? Something we are not measuring? 6- Do we need to re-examine some basic assumptions about atherosclerosis? We have spent decades focusing heavily on the quantity of circulating lipoproteins. But perhaps lipoproteins are relatively benign until they undergo biological modification in the artery wall. Oxidation may be one of those key modifications. For some patients, the answer may be to remove more particles from the circulation. For others, perhaps the better approach is to prevent their oxidation or block the downstream biological effects of oxidized lipids. The recent difficulties with anti-inflammatory approaches, including IL-6 inhibition, make these mechanistic questions even more interesting. 7- Was there something specific about pelacarsen, the degree or timing of Lp(a) lowering, advanced disease, trial duration, background therapy or patient selection that mitigated a potential benefit? We simply don’t know yet. That is why the detailed results will be so important. What does this mean for patients today? If you have already had an MI, stroke or PAD, the immediate lesson is very clear: 1- Get all of your established risk factors treated aggressively. 2- Get LDL-C/apoB very low. 3- Control blood pressure. 4- Control diabetes. 5- Don’t smoke. 6- Use appropriate antiplatelet and other guideline-directed therapies. HORIZON shows us what modern secondary prevention should look like. If you have elevated Lp(a) but have never had an event, the genetic and epidemiologic data still suggest increased lifetime risk. Until the other 4 outcome trials read out, I would continue to treat every modifiable risk factor aggressively. We should wait for those trials before drawing broad conclusions about the entire field. I think the story of Lp(a) therapy is beginning, not ending. We also need to show tremendous respect and gratitude to the patients who participated in HORIZON and to the investigators and companies that invested enormous resources to actually test the Lp(a) hypothesis, to the ultimate benefit to peole with elevated Lp(a) to best guide how to manage risk. More to come as we go forward.
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Jonathan Bortinger retweeted
Our study of AMIE at @BIDMC_Medicine is out! You can read about what we did in posts from my co-authors (including the Google post below). But I wanted to talk about some background for this study, and what I think are most interesting findings. 🧵⬇️ teapawt.net/GoogleResearch/status/…
Today we announce results from a first-of-its-kind study with @BIDMC_Medicine on AMIE, our conversational AI for clinical reasoning. In a real-world clinical study, AMIE was found to be safe, feasible, and well-received by patients. Learn more: goo.gle/4sXCogz
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Jonathan Bortinger retweeted
Foolproof get rich quick hack: Step 1) Buy $500M in minoxidil Step 2) Sell $500M of minoxidil for $400M Step 3) Get acquired by $HIMS for 3x revenue.
$HIMS buying more unprofitable revenue. Nothing to see here. Pop fades.
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Jonathan Bortinger retweeted
Thanks to @EricTopol for highlighting our latest study, which looks at some of the failure points in the clinical reasoning performance of reasoning models. What does this mean for the future of diagnostic decision support? And can LLMs actually medically reason? A 🧵⬇️
The performance of generative A.I. models for clinical reasoning are not holding up to increased scrutiny arxiv.org/abs/2509.18234 @MSFTResearch ai.nejm.org/doi/full/10.1056… @NEJM_AI @AdamRodmanMD @LiamGMcCoy
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Jonathan Bortinger retweeted
Huge update to our preprint today on the superhuman performance of reasoning models in medical diagnosis! TL;DR – they don't just surpass humans in meaningful benchmarks, but in actual medical care from unstructured clinical data: A 🧵⬇️: teapawt.net/AdamRodmanMD/status/18…
Preprint out today that tests o1-preview's medical reasoning experiments against a baseline of 100s of clinicians. In this case the title says it all: Superhuman performance of a large language model on the reasoning tasks of a physician Link: arxiv.org/abs/2412.10849 A 🧵⬇️
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Jonathan Bortinger retweeted
There is a lot of buzz about our new paper in Nature Medicine on the effects of LLMs (GPT-4) on physician management reasoning! I had TONS of fun working on this -- but what it MEANS requires some unpacking. A 🧵⬇️ teapawt.net/EricTopol/status/18871…
A randomized trial of GPT-4 vs 92 physicians with or without this #AI LLM for performance on patient care tasks. AI improved physician performance, on par with AI alone (based on 5 clinical vignettes) nature.com/articles/s41591-0… @NatureMedicine @AdamRodmanMD @jonc101x
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Jonathan Bortinger retweeted
Preprint out today that tests o1-preview's medical reasoning experiments against a baseline of 100s of clinicians. In this case the title says it all: Superhuman performance of a large language model on the reasoning tasks of a physician Link: arxiv.org/abs/2412.10849 A 🧵⬇️
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Jonathan Bortinger retweeted
Our first RCT on using an LLM on diagnostic reasoning is out! And the results are 🔥🌶️... adding ChatGPT did NOT improve diagnostic accuracy or reasoning, and the AI alone outperformed ALL the humans. What does this mean? A 🧵⬇️ teapawt.net/EricTopol/status/18509…
Replying to @EricTopol
A small randomized trial of generative #AI for diagnosis again (as seen in a few previous studies) shows higher performance for #AI than physicians + AI. May indicate that physicians need to be trained on how to incorporate AI. jamanetwork.com/journals/jam…
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Jonathan Bortinger retweeted
What's a typical day in a GP practice in Denmark 🇩🇰 where 98%+ of people have access to primary care? Here's some of what I learned spending the day at a practice in Aarhus last month 🧵 (and yes, the space really is as beautiful as it looks in these photos!)
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Jonathan Bortinger retweeted
🚨#FLOW: The most anticipated trial of the year now published in @NEJM with #ERA24 Semaglutide 1.0mg once weekly disease modifying with kidney, CV, & mortality benefits in people w T2D+CKD, cementing itself as a new pillar of care. 🧵 on key thoughts 👇🏾 nejm.org/doi/full/10.1056/NE…
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#idboardreview unimmunized child w/fever, cough, nasal inflammation followed 2 days later by diffuse nonpruritic maculopapular rash on face then chest then arms/legs. Exam: red conjuctiva, cbc, chem normal, chest clear, cxr b/l interstitial infiltrates #idtwitter #idxposts #meded
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8/ A Tour De Force of Anti-obesity Pharmacotherapy via @AniaJastreboff … Day 2– #OW2023 Continued: Future of AOMs is getting “cray cray.” —Double and triple agonists (NuSHs) —MC4R agonists —Activin receptor inhibitors / myostatin blockers and more…
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1/ Day 2– #OW2023 A Tour De Force of Anti-obesity Pharmacotherapy: YOU DON’T WANT TO MISS THIS 🧵
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Jonathan Bortinger retweeted
Today @AvrahamCooperMD and my essay on AI/LLMs and medical education comes out in @NEJM , about the challenges our field faces and what we should do about it. I wanted to give some context for this essay, and talk about some of the things we can be doing NOW. A brief 🧵⬇️
Medical educators have a crucial role in shaping the inevitable integration of AI into the healthcare. @AdamRodmanMD and I wrote about it in NEJM ⬇️ nejm.org/doi/full/10.1056/NE…
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Jonathan Bortinger retweeted
Here’s a video I made breaking down this deadly #ECG of a young woman who was resuscitated from cardiac arrest #FOAMed
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Jonathan Bortinger retweeted
To err is human. Our judgments are flawed. Our decision making is under constant assault. But there is something we can do about it. Read this 🧵to learn how “Decision Hygiene” can improve your judgment @SatyaPatelMD @PrathitKulkarni @DxRxEdu @rabihmgeha @goodmra1 #IDTwitter
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Jonathan Bortinger retweeted
Can GPT-4 solve really hard medical cases and come up with a good list of differential diagnoses? @zahirkanjee @byrondcrowe and my study is out in @JAMA_current , and the short answer is, “Yes.” But what does this all mean? 🧵⬇️ teapawt.net/JAMA_current/status/16…
In this study, a generative artificial intelligence (AI) model provided the correct diagnosis in its differential in 64% of challenging cases and as its top diagnosis in 39%. ja.ma/3X5M6i9
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Jonathan Bortinger retweeted
Here’s a video I made breaking down this very important #ECG case of a young woman who presented to the ER with “heartburn” #FOAMed
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Jonathan Bortinger retweeted
This past Tuesday, I was honored to help plan and participate in what I think is the first ever clinicopathologic conference (CPC) with an artificial intelligence (Dr. GPT-4) discussant @BIDMC_IM. It was… eerie... to say the least. These were my experiences: 🧵⬇️
📢Who do you think reigns supreme for today's Clinicopathology Conference (#CPC) ? Dr. @stephcabral_ vs Dr. Kevin He vs Dr. @AdamRodmanMD vs ChatGPT
6%Dr. Steph Cabral
11%Dr. Kevin He
22%Dr. Adam Rodman
61%ChatGPT
18 votes • Final results
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Patients often have significant and reasonable concerns about pill burden and copays. Here's a quick 🧵 about combo oral diabetes medications I use:
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