#MASTERDAPT is out in @NEJM, short vs standard DAPT in high bleeding risk patients. Will be the most important DAPT Study we see this year. Much respect for the authors. Here’s are some quick thoughts (thread):
- high risk patients (1/3 NSTEMI, 11% STEMI, complex long lesions)
- OAC patients standard regimen has at least 3 months and sometimes longer of triple therapy. OAC short regimen got 1 month triple and stopped all antiplt therapy by 6 months.
- non OAC stratum majority of short regimen went to P2Y12 monotherapy with clopidogrel at 1 month.
Per protocol non inferiority test for combined NACE endpoint, then combined MACE endpoint, then ITT superiority test for safety (BARC 2-5 bleeding).
Major results are below. Short DAPT was non inferior for NACE and MACE, superior for bleeding.
Events rates were lower than anticipated, which makes achieving NI easier using this fixed margin approach for the first 2 endpoints. But looking at the point estimates and CIs, still a strong result favoring shorter DAPT on average.
OAC subgroup analysis in appendix is critical. One wonders how much of the NACE/bleeding findings driven by triple therapy for longer duration than most typically do. These are very underpowered but can start to see some signals but not necessarily a clear picture.
High vs low DAPT Score subgroup is suggestive that high dapt score patients might be a subgroup that benefits form longer DAPT, pointing to a qualitative interaction. Underpowered but signal is consistent over many studies per @NinoNJ paper:
Bleeding differences driven by BARC 2 bleeding alone. BARC 3-5 no different.
Numerical differences also in stent thrombosis and MI (underpowered), favoring standard DAPT as would be expected. There’s no free lunch, just is a question of how cheap the lunch is, so to speak.
how could the NACE event rates be lower than bleeding rates when the NACE event rate INCLUDES the same bleeding endpoint?
Suspect this is due to to the cause specific KM curve used for bleeding against high death rate background.
Takeaway there is that you may not be able to look at the bleeding ARR and convert that to an applicable NNT for your patients, would love to see what the cumulative incidence function curves for bleeding look like instead, as well as curves that allow for repeated events.
Overall, incredibly impressive work, potentially practice changing. Makes me much more likely to use P2y12 monotherapy early in HBR patients not going on OAC (esp low DAPT Score), and also stop all APT in OAC patients at 6 months which I had not done previously. End
Davide @DFCapodanno has the better explanation for the differences between the endpoint rates.
Dr. Fauci "not naming names", but clearly not pulling punches. Thinks strategy of protecting nursing homes alone exposes large proportion of susceptible Americans at risk for severe infection.
Gov't has bought 150 million of the rapid Abbott antigen test, will be distributing to schools etc.
1/Lot's of angst about #ISCHEMIA and what it will mean for cardiology practice. For me, a positive trial is likely to mean more for changing my practice than a negative one. I'll try to explain (Thread). #AHA19
2/I was trained by conservative cardiologists in the post-COURAGE era. I don't offer PCI to stable patients with the idea that I am going to make them live longer or reduce hard endpoints. We offer PCI to stable patients for one predominant reason - symptoms despite meds.
3/However, it is VERY common for patients to be surprised that walking around with a blocked artery is safe. Even after a clear conversation about what the benefits of elective PCI are, post-PCI patients will often say, "Now I can walk around without worrying...".
In the first ever randomized clinical trial, we demonstrated that parachutes did NOT prevent death or major injury compared to control in individuals jumping from aircraft.
Interesting validation of the DAPT Score in a large real world population. I'm most interested in the authors discussion, because the data are largely consistent with everything else that has been published. It's the spin that is different here. 1/
Let's start with the validation. The DAPT score is built on 2 separate Cox models. The authors validated each one in their study. Here is how they performed: C-statistic 0.67 for ischemia and 0.67 for bleeding. That's basically how well they performed in the original cohort.
Somehow, that didn't make it to the abstract, but instead, they focused on this.
How could you use IV to analyze #CABANA? I haven't seen the publication (is it published?) and am going mostly on what people have tweeted. But if most of the crossover happened early, before patients experienced endpoints, then it could be pretty straightforward...
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Getting randomized to ablation in the trial meant that you were very likely to get it, but not in all cases. Similarly, getting med Rx meant very likely to get med Rx, but not in all cases. So the breakdown is something like below.
If you imagine that the populations in both arms are identical (which is true on average), then for every patient in one arm, there is his/her equivalent doppleganger who is identical in all ways, except got randomized to the other arm.