488 total reports from Pfizer-BioNTech, 301 reports from Moderna.
Slide 18 shows proportions. 12,169,692 doses administered. Expected number (base rate) of Myocarditis/pericarditis cases in persons under 25, 10 to 103. Cases observed: 277. So it roughly quadrupled the base rate. Which brings the adverse reaction rate up to... 0.000276%
That should be second-paragraph-of-article sorts of information.
I'm curious how much we're seeing effects that are present but just haven't been measured previously, because of the size of the newly-vaccinated population.
The second dose is obviously very stressful on the body - people are often down for a couple days dealing with the reaction - so it seems unsurprising that there's /some/ kind of measurable secondary effect. Stress is known to correlate with heart attack.
> "There were 283 observed cases of heart inflammation after the second vaccine dose in those aged 16 to 24 in the VAERS data. That compares with expectations of 10-to-102 cases for that age range based on U.S. population background incidence rates, the CDC said."
They use Observed vs. Expected cases in order to calculate e.g. a reporting odds ratio [2], which can loosely guide you in finding events which occur disproportionately.
1. https://en.wikipedia.org/wiki/Postmarketing_surveillance
2. https://allaboutpharmacovigilance.org/43-reporting-odds-rati...
I'd hate for this to get blown out of proportion like the blood clot issue did, causing massive confidence declines in places all over, especially those struggling to roll out vaccines and keep their COVID cases under control.
Obviously, if the numbers are alarming, we must react accordingly.
Observed (O) cases in that age group: 283
Expected (E) cases in that age group: 10-102
So at least double the top of the confidence interval, for expected.
You can look at the risk of what it's preventing (covid has already killed ~1700 people per million in the US), or compare to other activities and risk levels.
Relative risk comparisons between different activities are often not useful. For example, the risk of shark-death at the beach might look alarming when compared to my risk of shark-death-at-home, but actually it's vanishingly unlikely.
But what about the risk of heart inflammation from Covid-19 in that age group, possibly with no other Covid symptoms?
This is a big assumption. It could also be that it becomes part of the virus background infections we all deal with except that it is high risk if you get it the first time.
When looking that the risk of an non vaccinated individual catching Covid today keep in mind that a lot of people have been vaccinated and the incidence numbers de-facto refer to incidences of the non vaccinated part of the population which would justify a smaller denominator than used (whole population).
That said, there is no guarantee that herd immunity will ever be reached at least in the US. If herd immunity isn't reached then it's basically guaranteed you'll get it eventually as the disease becomes a "background disease".
Also, underreporting is a factor - not everyone knows about VAERS, not everyone goes to the Dr. for chest pain etc.
I agree it's favorable, but it's important to understand the effects of any medicine on subgroups of a treatment population.
I assume they don't track healthy people in the database of adverse vaccination reactions.