We have the protocols. Now we know how there will very likely be an Emergency Use Approval (EUA) for a vaccine prior to November 3. The company and political motivations are fully aligned. 1. The criteria for an EUA is that it "may be effective" fda.gov/regulatory-inf…
2. Nearly every day we hear from @pfizer's CEO @AlbertBourla that they will know if their vaccine is working by the end of October.
Only the Data and Safety Monitoring Board is reviewing the data at specific intervals, the interim analyses
So how will they (Pfizer) know that?
3. The 1st interim analysis for that trial is at 32 events, infections, which can and likely will be mild. The stopping rules as reviewed by @biosbenk@EmoryRollins are "aggressive" and "unusual" for the number of interim analyses (4) and Bayesian approach github.com/benkeser/pfize…
4. As presented in a poll, ≥ 26 infections in the placebo group at the 1st interim of 32 events would fulfill the stopping rule and support a claim of efficacy.
But the EUA only requires *"May be effective"* so even <26 placebo events could qualify
5. The DSMB reports to the sponsor. The trial data should not be unblinded unless it has been stopped (for futility, safety, or efficacy stopping rule) or completed. But it is easy to discern which group (vaccine or placebo) by the early adverse effects without unblinding.
6. Note the similarity in some symptoms for #COVID19 (which are the endpoint) and the early adverse effects of the vaccine (dose of 100 ug was used in Phase 3) nejm.org/doi/full/10.10…
7. So with or without fulfilling pre-specified efficacy criteria at the 1st interim look, which will occur within weeks, Pfizer can apply for an EUA with the low threshold of "may be effective"
(If Pfizer hits the stopping rule and doesn't stop the trial, that's another story)
8. The EUA criteria are so minimal that even the Phase 1/2 serology data (NEJM paper above) could fulfill "may be effective" and that would equate to the Russian vaccine approval and roll out.
10. What if the FDA says NO, the data from 32 infections isn't enough? Clearly at that juncture there would be very limited data for the vaccine's safety.
The HHS can override that an issue the vaccine approval.
And we've already seen @HHSGov do that with FDA LDTs weeks ago.
11. The same issues apply for the @moderna_tx first interim analysis at 53 events, but a conventional O'Brien-Fleming stopping rule is being used and the 1° endpoint definition of infections is tighter
12. This is obviously a rush job—a race between companies with big political stakes. Once an EUA is issued for a vaccine, the whole landscape shifts. Safety issues could crop up later and engender mistrust. Ability to conduct placebo-controlled trials could be impaired.
13. These are the most important clinical trials of our lifetime. There's no need for this rush. We need to do them right; get the Phase 3 trials completed as planned at 150-160 events. That will only require waiting weeks, it'll give us more confidence about efficacy and safety
14. Just as pressure was applied to @pfizer@BioNTech_Group and @moderna_tx to release their protocols, we need to apply intense pressure to the companies, the FDA, and HHS to preempt any EUA until Phase 3 trials are *fully* completed.
15. Translation, TLDR:
We need a shot in the light, not in the dark.
A matter of weeks to nail the efficacy issue down is well worth the wait.
Zero tolerance for company or governmental shortcuts and related back door BS.
We're learning how to control the immune response, like a rheostat, even in the brain. Implications for understanding the basis and potential treatment of autoimmune conditions like multiple sclerosis, #LongCovid, #MECFS, and brain cancer.
A brief review of 6 recent, important reports
in the new Ground Truths, open-access
Such as Programming T cells with brain-specific proteins and payloads
@ScienceMagazine science.org/doi/10.1126/sc…
Or peptide fragments of myelin basic protein that suppress the immune response @Nature nature.com/articles/s4158…
New @NEJM
A whopping (~90%) reduction of progression to Type 2 diabetes with tirzepatide (GLP-1 drug, dual receptor) vs placebo in a randomized trial of >2,500 participants with obesity, absolute reduction of 10/100 treated
In other GLP-1 new publications today
—Country-wide Sweden reduced hospitalizations for alcohol or substance abuse with these drugs jamanetwork.com/journals/jamap… @JAMAPsych
—Concerns about discontinuation jamanetwork.com/journals/jama/… @JAMA_current
Other new anti-obesity drugs in the pipeline, one that also increases energy expenditure
@NatureNV nature.com/articles/d4158…
A dedicated issue of @ScienceTM on #LongCovid
—Sex-specific differences, with perspective by @VirusesImmunity and @SilvaJ_C
—Insights for therapies @AndreaCoxMDPhD
—Deconvoluting "Osler's Web" @MichaelPelusoMD @DeeksSteven @DrMaureenHanson @SaydahSharon
—+RECOVER Trial, Lyme disease
An elegant @Nature study by @AkassoglouLab has illuminated our understanding of the role of fibrin (component of blood clots), #SARSCoV2, and brain inflammation in Covid and #LongCovid.
This discovery and more in the new Ground Truths podcast, with transcript, key figures (such as as the one below) and citations. Open-access. Link in my profile.
A clip from our conversation. Unknowingly, @AkassoglouLab was gearing up for understanding this complex pathophysiology for many years before Covid hit
For treatment, it's not just as simple as preventing fibrin clots. It's isolating the pro-inflammatory action of fibrin, targeted by the antibody
Covid and increased risk of major adverse cardiovascular events (MACE) 3-years out
2-fold increased for any severity of Covid
~4-fold increase for Covid requiring hospitalization
"a coronary artery disease equivalent"
interaction with non-O blood types
@uk_biobankahajournals.org/doi/10.1161/AT…
"A major finding from our analyses was that the risk
of MACE among the subset of hospitalized COVID-
19 cases without known CVD (ie, primary prevention
patients) was comparable to (or even slightly higher than) the risk in patients with CVD, PAD, or diabetes but without COVID-19."
"one of the first examples of a gene-pathogen exposure interaction for thrombotic events"
I think it's the first one documented, likely others to be unraveled
New US Covid genomic surveillance
The KP.3.1.1 variant is on the move to become dominant, more of a challenge to our immune response than KP.3 and prior variants (especially without new KP.2 booster when we need it for high-risk individuals)
It's the deletion 31/31 that makes the KP.3.1.1 spike different, but otherwise 2 mutations away from KP.2 (R346T and Q493E)
Buckle up; this wave isn't over yet d/t KP.3.1.1's emergence