Dapo Iluyomade MD MBA FACC FAHA šŸ«€ Preventive Cardiologist @BaptistHealthSF || Assistant Prof of Medicine @FIUmedicine || #cvPrev šŸ‡³šŸ‡¬ Tweets mine.

Miami, FL
Joined October 2010
The term "VIP patient" further perpetuates existing disparities in healthcare. Let's work to treat all of our patients like the very important people that they are. šŸ¤šŸ¾šŸ‘©šŸ»ā€āš•ļøāš•ļøāš–ļøšŸ©ŗšŸ„ #HealthForAll #HealthEquity #HealthIsWealth
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šŸ«€Finerenone vs spironolactone in heart failure with mildly reduced or preserved ejection fraction: a real-world study. see@ ow.ly/LcYk5100u04 @EJHFEiC @AmrAbdin10 @GiuseppeGalati_ @HanCardiomd @EJHFEiC @JanBiegus @ppponikowski #HFA_ESC @hvanspall @FudimMarat @gcfmd @MarcoMetra @GianluSava #ESCHeartFailure
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I’m so honored to be featured by the Claude team! What a great surprise to get during clinic AngioView.com
Replying to @claudeai
A cardiology fellow built a 3D tool to help trainees learn to read coronary angiograms.
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I built NavRad Anatomy, a free tool with an AI Guide that makes it simpler to learn clinically important imaging anatomy. To read scans, you need to know the anatomy. But there’s a lot to learn, and it’s hard to know what matters. With this app, you can scroll through real scans with labels and colour-coded overlays, filter the structures you want to see, learn essential anatomy with key clinical pointers, or ask the AI Guide: ā€œWalk me through the liver segmentsā€ (see video) ā€œTeach me the segments of the internal carotid arteryā€ Or even: ā€œJust show me the basicsā€ Then test yourself by asking it to quiz you. Works on your phone or computer, so you can learn on the go. See it in action šŸ‘‡ Try it at anatomy.navigatingradiology.…, or click "Anatomy" in Navigating Radiology.
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šŸ†• ACC Scientific Statement on Exercise Prescriptions For CV Health in Adults provides practical, evidence-based guidance to help clinicians confidently prescribe exercise across a wide range of CV conditions. Read the full Scientific Statement āž”ļø bit.ly/4hxfedX #JACC
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DYSLIPIDEMIA MASTERCLASS: From Lipid Profile to Treatment! High LDL-C? Elevated triglycerides? What about Lp(a)? This 8-part visual guide covers: ā­•Lipoproteins & lipid interpretation ā­• Cardiovascular risk assessment ā­• Primary & secondary dyslipidemias ā­• Statins & non-statin therapies ā­• Hypertriglyceridemia & pancreatitis prevention ā­• Lp(a), HDL-C & special populations ā­• Guideline-based treatment algorithms Updated with the 2026 ACC/AHA Dyslipidemia Guideline and 2025 ESC/EAS Focused Update. Learn it. Apply it. Save it.
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The same receptor does not mean the same evidence. At HFSA 2026 in Phoenix, I discussed steroidal versus nonsteroidal mineralocorticoid receptor antagonists (MRAs), and why choosing the right agent matters, particularly in HFmrEF/HFpEF. Steroidal MRAs remain foundational in HFrEF. Spironolactone and eplerenone have established benefits for survival and HF hospitalization. The question is how far we should extrapolate their evidence across the ejection fraction spectrum. In HFmrEF/HFpEF, the evidence differs by agent. TOPCAT did not meet its primary endpoint with spironolactone, although HF hospitalizations were reduced. That is not ā€œno benefit,ā€ but neither is it an unequivocally positive outcomes trial. FINEARTS-HF demonstrated a 16% reduction in the composite rate of total worsening HF events and cardiovascular death with finerenone in patients with LVEF ≄40%. That distinction informed my challenge to the 2026 ESC guidelines’ Class I recommendation encompassing both steroidal and nonsteroidal MRAs in HFpEF: does a broad recommendation adequately communicate the differences in the supporting evidence? Guideline simplicity should not obscure those differences. Safety deserves the same precision. Early head-to-head data suggest potential potassium and kidney tolerability advantages for finerenone over spironolactone in selected patients; but they do not establish superior long-term HF outcomes. And nonsteroidal does not mean risk-free: finerenone also increases hyperkalemia risk and monitoring is warranted. My take-home message: we should neither assume interchangeability nor claim superiority from separate placebo-controlled trials. We should choose the agent supported by the strongest evidence for the patient’s HF phenotype, while accounting for comorbidities, tolerability, and access.
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šŸ‘‰Lp(a)HORIZON: could tolerability and treatment exposure have influenced the result? šŸ‘†Targeted Lp(a)-lowering therapies: tolerability matters too. 1⃣ Emerging therapies achieve substantial Lp(a) reductions, with generally favorable safety profiles in early trials. 2⃣ In pelacarsen’s phase 2 trial, injection-site reactions occurred in 27% vs 6% with placebo, while discontinuation due to adverse events was similar: 5% vs 4%. 3⃣ More local reactions do not necessarily translate into treatment withdrawal or reduced exposure. 4⃣ Comparisons across agents require caution: dosing schedules, follow-up and adverse-event reporting differ between trials. 5⃣ Adherence and sustained Lp(a) lowering may help contextualize cardiovascular outcome findings, including HORIZON. Any contribution of treatment interruptions to its negative result remains speculative. Substantial Lp(a) lowering is established. Its translation into cardiovascular benefit remains the key question. The depth and duration of Lp(a) lowering may matter. Whether reduced treatment exposure contributed to HORIZON’s result remains an open question. šŸ”—doi.org/10.1016/j.jacl.2026.… @society_eas @LipidJournal @nationallipid
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Our work from PREVENT now publ in Circ. Only 37% of FFR neg severe lsns (PB>70% & MLA<4mm2) were lipid-rich plaques (LRP) by NIRS. Event rates were much higher and preventive PCI was only effective in LRPs. PCI of "true vulnerable plaques" may improve prognosis and avoid over-Rx.
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Dr. Dapo retweeted
Blocking the internet on your phone for 2 weeks gave people the attention span of someone 10 years younger. Researchers from Georgetown, UT Austin, UBC, Alberta and Boston University ran a randomized controlled trial on 467 people. The setup was simple. They turned smartphones into dumb phones. An app blocked all mobile internet. Wi-Fi and data, gone. Calls and texts still worked. Laptops still worked. Only the thing that makes a smartphone "smart" was switched off. For 2 weeks. The results: - Daily screen time dropped from 5 hours 14 minutes to 2 hours 41 minutes - Mental health improved - Life satisfaction and mood went up - Sustained attention, measured with an objective test, improved by about as much as 10 years of age-related decline - 91% of people improved on at least one of these Here's the part that stands out. The drop in depression symptoms was larger than the average effect of antidepressants in clinical trials. (Different population than clinical studies, the authors note. But still.) So what actually changed? People didn't just stop scrolling. They replaced it. They spent more time socializing in person. Exercising. Being outside. Sleeping. The craziest part? Most people couldn't stick with it. Only about 1 in 4 kept the block on for 10+ days. The benefits showed up anyway. You don't need to quit your phone. You just need to stop carrying the entire internet in your pocket. The internet isn't the problem. Having it everywhere, all the time, is.
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I built an interactive echocardiography tutorial with Claude Code. Chapter 07: a 3D heart, the standard imaging views, the probe position, and simulated ultrasound video.
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We're heading into #NLAFall with an updated LDL-C Management Simplified, part of the Lipid Simplified Series published in @LipidJournal. This updated manuscript distills the 2026 Dyslipidemia Guideline into practical, actionable guidance for clinicians managing LDL-C in both primary and secondary prevention settings. It incorporates the PREVENT ASCVD calculator for updated risk assessment and was designed with real-world practice in mind. Whether you're heading to Orlando for #NLAFall, joining virtually, or simply staying current from your own practice, this is the ideal primer before the science kicks off. šŸ”— Access the full article, print the infographics & find patient materials at lipid.org/resource/ldl-c-man…. #LDLCholesterol #DyslipidemiaGuidelines #ASCVD #CardiovascularPrevention
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Protect the kidneys, and the kidneys will protect the heart. Made with Images 2.5 - zoom in on the details, this really is very good:
šŸ¤– Made with AI
ChatGPT Images 2.5—faster, sharper, smarter, with better tools for creating whatever you can dream of. - Faster image generation to keep your ideas flowing - Improved fidelity for more natural, recognizable images - Consistent details across multiple edits - Comment-based edits to change only what you want
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Dr. Dapo retweeted
This is my 10 point conversations, I tend to have with any patient who might have had a predetermined mindset based on social media, CHATGPT or influencers. 1. Based on your age/gender and risk, you are already a candidate for statins, if you choose CAC, there is a 40-50% chance that you may have #PowerOfZero and likely risk below threshold of why suggested statins, allowing you flexible decisions. jacc.org/doi/10.1016/j.jacc.… 2. There is no other good tests that will give you the same information about derisking to guide you optimal information to derisk ahajournals.org/doi/full/10.… 3. If decide to make decisions based on CAC vs current risk scores, likely will result in better adherence as seen in the yet to be published CorCal, CAUGHT CAD RCT’s as well accumulation of retrospective literature sciencedirect.com/science/ar… jamanetwork.com/journals/jam… 4. Likely better LDL and risk factors control (EISNER and Caught CAD) jacc.org/doi/10.1016/j.jacc.… jamanetwork.com/journals/jam… 5. In a shorter term, CAC guided decisions will likely reduce the risk of plaque progression based on CAUGHT CAD jamanetwork.com/journals/jam… 6. Thankfully if we can keep the price $150 or less or impact your disutility of taking pills it is even cost effective from a societal perspective jacc.org/doi/10.1016/j.jcmg.… 7. In a clinical trial those randomized to decision based on CAC vs not CAC, we haven’t seen increased risk of extra stress tests, caths or stenting/bypass (EISNER) jacc.org/doi/10.1016/j.jacc.… 8. While to date there is no data showing CAC guided decision will reduce the risk of CVD clinical events in a short term period, the studies have shown a) there is no increased risk (harm) of MACE (CorCal), b) prior non randomized studies have suggested no better outcomes with statin use, suggesting no harm if you decide to have flexible goals jacc.org/doi/10.1016/j.jcmg.… 9. CAC is not one time test, if zero and don't go on treatment repeat in 3-7 yrs based on baseline risk estimate to guide if need to change the decision course jacc.org/doi/10.1016/j.jcmg.… 10. Now based on studies, CAC beyond guiding you whether you need statin or not, can help as a dosing strategy (higher risk, higher intensity) now acknowledged also by cholesterol management guidelines pmc.ncbi.nlm.nih.gov/article… Once we have provided all the information, let patient make the decisions (see our approach below below) bmj.com/content/373/bmj.n776… @rblument1 @MichaelJBlaha @DrMichaelShapir @DrMarthaGulati @AlexRazavi @Sadeer_AlKindi @miguelcainzos23 @HMHCardioFellow @CiccaroneCenter @ASPCardio @JamalRanaMD
Khurram, respectfully, your reply perfectly captures the issues I have with this test. FROM THE PATIENTS POINT OF VIEW, they do not have coronary disease prior to the CAC. After the test, they have that diagnosis which they will Google and ask ChatGPT about. This will trigger a range of downstream actions ranging from taking a statin (good) to anxiety (bad) or unneccessary testing (very bad). So in my view, which matches the patient perpective, this is indeed a screening test. You may see it as a decision tool, but the patient and those outside medicine see it as a diagnostic/screening test for sure.
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As the world braces for El NiƱo, there is a bigger macro story worth watching. Together with @marvinjbarth of @ThematicMarkets and @jam_croissant, we looked at how El NiƱo could ripple through the markets. Listen to the episode here: youtu.be/SiZpUiNqt7s?si=Yu_p…
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Horizon Lp(a) and ZEUS show why the scientific method continues to guide clinical practice. #SupportResearch #cvPrev
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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 ā€œLp(a) hypothesis.ā€ 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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Dr. Dapo retweeted
In case you missed it, here are all late-breaking trial results from #ESCCongress
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Dr. Dapo retweeted
šŸ«€ Statins for primary prevention: 4 RCTs, 3 decades AFCAPS→JUPITER→HOPE-3→STAREE šŸ“‰ 24–44% ↓ major CV events Even at baseline LDL (108 mg/dL) No heterogeneity across subgroups in RRR ā€ØšŸŸ° Safety ā‰ˆ placebo, few exceptions ā€Øāš–ļø Benefits ≫ risks šŸ’Š cost $30/year
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ESC Congress 2026 šŸ‡©šŸ‡Ŗ | My Top 20 Lipidology Highlights After an intense few days in Munich — including the opportunity to present our own work — here is my personal selection of the 20 lipid studies and concepts that caught my attention at ESC 2026. 1-Ā VESALIUS-CV | Evolocumab — Earlier, sustained LDL-C lowering translated into clinical benefit, with an important mortality signal. 2-Ā STAREE | Atorvastatin — In adults ≄70, MACE ↓ 30%. Age alone should not justify undertreatment. 3-Ā SHASTA-3/4 | Plozasiran — TG ↓ ~80%, with fewer acute pancreatitis events. 4-Ā AMUNDSEN | Evolocumab — Immediate post-MI initiation: LDL-C goal achieved inĀ 82% vs 40%. 5-Ā KYLO-11 | Lp(a) — One siRNA dose: Lp(a) ↓ up to ~97%, sustained almost one year. 6-Ā CTX310 | ANGPTL3 — One-time CRISPR editing: LDL-C and TG ↓ ~50%. 7-Ā VICTORION-CHALLENGE — Inclisiran substantially outperformed bempedoic acid for LDL-C lowering. 8-Ā CORALreef | Enlicitide — PotentĀ oral PCSK9 inhibitionĀ across CV risk and Lp(a) strata. 9-Ā Lepodisiran — Profound Lp(a) lowering plus reductions in OxPL-apo(a)/OxPL-apoB. 10-Ā ION775 | APOC3 — One dose provided sustained apoC-III and TG lowering. 11-Ā HRS-5346 — Oral small-molecule Lp(a) lowering: an exciting new approach. 12-Ā BRIDGE — Structured combination therapy after ACS markedly improved LDL-C goal attainment. 13-Ā Rivocibart | ANGPTL3 — A promising approach for HoFH. 14-Ā AAV8 gene therapy | HoFH — Striking early LDL-C reductions with gene replacement. 15-Ā PROSPECT II | Lp(a) — New links between Lp(a), lipid composition and high-risk coronary plaque. 16-Ā Lp(a) variability — Lp(a) may be less ā€œstaticā€ than traditionally assumed. 17-Ā Remnants/TGRL — More evidence linking remnant cholesterol with residual ASCVD risk. 18-Ā Lp(a) & plaque vulnerability — Imaging further connected Lp(a) with vulnerable plaque phenotypes. 19-Ā Lp(a) after ACS — Timing and clinical context may influence Lp(a) interpretation. 20-Ā Precision lipidology — LDL-C, apoB, Lp(a), APOC3, ANGPTL3 and remnants are becoming therapeutic targets. My take-home from Munich? For today:Ā treat earlier, lower and for longer. Use combination therapy when needed. For tomorrow: pills → combination therapy → RNA therapeutics → potentiallyĀ one-time gene editing. Different technologies. Different targets. Same biology: Cumulative exposure to atherogenic lipoproteins drives atherosclerosis. Reduce exposure earlier, prevent disease earlier. @society_eas @escardio
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