A brief explainer on endpoints and efficacy on Vaccines as it's clear we're going to have a lot of chit chat on vaccines as a topic to discuss.
First off - let's step back and recognise that it is *awesome* that we have 3 COVID vaccines that are safe + work , and most likely more in 2021 (I suspect the Chinese vaccines will get regulated in more and more places; for a variety of reasons the Russian one will be complex)
This should frankly be enough. End of discussion - over to the eye watering logistics about vaccinating as many people across the globe as fast as possible. We're 0.06% into 7 Billion people as of today.
...but... people are going to compare.
(Context for the below discussion: I am *not* a clinical trials expert but I do know a number of experts; I am genetics and computational biology expert, and computational biology is a mix of data science and statistics, so I understand the shape of this discussion).
(Other context - I am a trial participant on the Oxford/AZ trial).
In Phase III clinical trials you aiming to understand two things (a) safety at a far larger number of people, so can get into rare(r) events and (b) efficacy, how well it works, traditionally in Phase III trials vs "current best practice".
On (b) you need to define what "works" means for your trial. This is described as the "endpoint"; you must declare your endpoints ahead of time and must do the analysis you say you will do on the endpoints.
Clinical trials nearly always have one primary endpoint (the main thing) and a series of secondary endpoints. Every endpoint you write down you need to show your working on.
Endpoints can be obvious ones ("did the person die from a heart attack") to pretty obviously ("did the person come into hospital with a suspected heart attack") to quite "upstream" in the biology ("Is the persons circulating LDL levels lower over 3 weeks at the end of the trial")
In this toy example, all these endpoints are about cardiac disease, and you can see that the last one probably has most "power" to see effects (because everyone is valid to test) but here you need to be confident that this endpoint (lower LDL) is really something of interest
(Side note; for the example chosen here, researchers are confident that lower LDL systematically tracks to less heart attacks but you can imagine this not so obvious)
As well as defining endpoints, you need to nominate one of them as "primary" which you will report against.
Armed with this language, let's look at the 3 trials; BioNTech/Pfzier, Moderna and Oxford/AZ. All had similar primary endpoints - numbers of people tested positive via swabs. For BioNTech/Pfzier + Moderna, my understanding is this was symptomatic individuals who then were tested
For the Oxford/AZ trial, everyone got tested every week (or at least; we were all sent home with test kits for every week) and sent the test in; if positive, then brought in for more study, including whether we had symptoms.
This makes sense as a primary endpoint - the headache in an infection trial that is trying to be suppressed in your countries is that not so many people will get infected, so you want to have something as close as possible to infection.
Unsurprisingly all the trials also listed hospitalisation with COVID and then death by COVID as secondary endpoints; in these cases they didn't know whether one would get good numbers.
The 90-95% headline number for Pfzier and Moderna, this messy 62%-90% depending on dosing for AZ is on the primary endpoint - swabs (and notice the subtle difference). Before we unpack this headline number...
.... note that for the hospitalisation numbers they all had very good efficacy - so good it can't really be quantified (confidence intervals go up to 99%) but small numbers.
For the everyday person the "does the vaccine work for me" probably means this hospitalisation number. Here - all 3 vaccines work indistinguishably well in my amateur reading, and I can sense clinical trial experts saying "you can't do comparisons unless in the same trial!".
(quite right - so many little and big things can be different, from access to healthcare to distance to testing centres that between trial comparisons is more like a narrative than an analysis).
To the primary - are you infected - endpoint. Here clearly Pfzier and Moderna work well. Oxford/AZ's full/full dose - it's main trial worked less well but note its endpoint is test first, ask if you have symptoms second.
The dosing error which lead to half/full dose was not well controlled, but very suggestive it does work in the 90% level (the human immune system is weird) and I hope they do more studies (Phase IV trials?) on this to nail it down.
And there are real differences in logistics. The BioNTech/Pfzier on has to be kept at -70C and its lipid bilayer is fragile (no shaking when thawed). Moderna's lipid bilayer is more robusts (-20C). Oxford/AZ is a full blown robust but harmless virus (Fridge 4C fine).
I would be happy for myself - or any of my family - to be vaccinated by any of these three vaccines. I don't think the comparison on efficacy should worry people (though nailing down the details will be good) and its mainly about logistics in 2021. Roll on the vaccines!
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A note for I think journalists about the "377 deaths under 60" being the cost for COVID for the UK. This a bonkers positioning statement and is definitely not something trying to shed light on the extremely nasty problem we have in front of us.
The main thing is that what has been aimed for throughout, from the start, is not having a catastrophic capacity demand on the NHS (or any healthcare service). Simply healthcare services cannot cope at some point and then, straightforwardly, many people die, for many reasons.
In this situation, one can aim to do this more rationally ("triage") or not (obviously, more rationally, better) but there is no magic bullet, or emergency button to press. Field hospitals are useful, but they have to be staffed. Healthcare capacity is a fragile thing.
Some COVID thoughts on this bright, beautiful Christmas Eve morning in London.
Context: I am an expert in genetics and computational biology; I know and chit-chat with experts in viral phylogeny, infectious epidemiology, immunology + testing. I have a COI that I am a consultant to Oxford Nanopore that make a COVID test. I am also on the AZ vaccine trial
Reminder: SARS_CoV_2 is an infectious virus which causes a nasty disease in a subset of people, often leading to death. If we let the virus go through the population not only would many people get this disease, but also healthcare systems would be overwhelmed.
Final thread in a series of 3 - what does this new variant mean for the next stages of the pandemic?
So - first off, if the biology has changed, we need to check all the biological and clinical parameters, some of them urgently. Most obviously do the vaccines work against them. There are good reasons to think this is v. likely which I outlined yesterday.
Briefly they are 1. The vaccine trials all happened with a mixture of different variants circulating (as happens everywhere - there's far more than this B.1.1.7 strain circulating). The fact all 3 work in this mixture is reassuring.
(This is super-rapid pre-print on virological.org - other people will pick over this no doubt - but the openness of the data and quality of analysis from this group means this is super solid, and any updates on discussion likely to happen fast)
So - that was quite a twitter/media day for me, and welcome to my new followers; 3 threads coming up - introducing myself, explaining my background and COIs (this one); technical aspects of the new strain from my vantage; commentary on what is means for the future
(for the people who know me, skip the rest of this thread!)
A brief tweet portrait of me; I am deputy director general of @embl and co-direct (with Rolf Apweiler, not on twitter) one it's six sites, @emblebi which is based just south of Cambridge, UK.
New SARS_CoV_2 virus strain update. TL;DR - there is something to understand more, and it looks like the virus has tweaked its biology at least on transmissibility; Public health, scientists + surveillance systems are on it.
What do we know? Like all viruses SARS_CoV_2 changes - like typos in a manuscript that is endlessly retyped - and in fact this virus has a pretty pedestrian rate of typos. One version ("variant" or "strain") found in the south east England has a number of interesting properties