reSee.it - Tweets Saved By @contrarian4data

Saved - December 5, 2023 at 5:51 PM
reSee.it AI Summary
Pediatric COVID-19 vaccination is discussed in this thread. It covers topics like adverse events reporting, mortality estimates, efficacy and safety assessment, and the concept of number needed to treat (NNT) and number needed to harm (NNH). The VAERS data for 16-17-year-olds shows some serious adverse events. The article emphasizes the importance of tailoring guidance to at-risk groups and highlights the low risk of severe COVID-19 in children. It also questions the hypothesis that vaccinating children breaks the transmission chain. The article concludes by urging readers to consult their pediatricians and make informed decisions.

@contrarian4data - Newsom Myālgía MD, PhD (formerly Virál)

This is a thread discussing Pediatric COVID-19 vaccination. Contents: 1) Detailed review of Vaccine Adverse Events Reporting System (VAERS) for the 16yo-17yo age group https://wonder.cdc.gov/vaers.html 2) Examine Pediatric mortality estimates & compare to adverse event rate 1/n

@contrarian4data - Newsom Myālgía MD, PhD (formerly Virál)

Contents (cont): 3) Review the # of patients required to assess efficacy & safety in the <18yo population 4) Review "# needed to treat" (NNT) & "# needed to harm" (NNH) 5) Extend discussion to "# needed to vaccinate" (NNV) & possible limitations of this concept 2/n

@contrarian4data - Newsom Myālgía MD, PhD (formerly Virál)

I downloaded the VAERS data for 6-17yo (so effectively just 16yo and 17yo) validated through 5/19/2021. I restricted analysis only "serious" events (returned 124 results). https://wonder.cdc.gov/vaers.html 3/n

@contrarian4data - Newsom Myālgía MD, PhD (formerly Virál)

As some have noted, some VAERS entries, even ones labeled "serious", are a bit silly. They are known side effects or clearly incidental (i.e., emotional reactions to the circumstances, mistakes on age). Not counted by me: vague reports, moderate allergic or other reactions 4/n

@contrarian4data - Newsom Myālgía MD, PhD (formerly Virál)

But there is already some signal in just this cohort: 9 Critical condition 3 Cardiac Arrests 1 Stroke while on anticoagulation 1 Guillan Barre Syndrome 6 anaphylaxis (1 counted in the PICU tally) 6 new onset or exacerbation of seizures 4 Myocarditis/Pericarditis 5/n

@contrarian4data - Newsom Myālgía MD, PhD (formerly Virál)

Fully Vaccinated by 4/20/21: 3.10% (260400) Fully Vaccinated by 5/20/21: 19.90% (1671600) https://covid.cdc.gov/covid-data-tracker/#vaccination-demographics-trends Serious Adverse Events (AE) as of 5/19/21: 29 Reporting Lag: assumed @ ~1 month. A serious pediatric event I reported in mid-April was not in my download. 6/n

COVID Data Tracker CDC’s home for COVID-19 data. Visualizations, graphs, and data in one easy-to-use website. covid.cdc.gov

@contrarian4data - Newsom Myālgía MD, PhD (formerly Virál)

Serious adverse event rate: 4/20/21 vax percentage: 0.00011 5/20/21 vax percentage: 0.000017 Download from VAERS Wonder was on 5/19/21 so it's likely that the 4/20/21 serious AE rate above is more accurate. 7/n

@contrarian4data - Newsom Myālgía MD, PhD (formerly Virál)

C19 mortality for kids is very low, but the exact number is difficult to pin down. Estimation method based upon CDC numbers with references providing low and high bounds. 8/n

@contrarian4data - Newsom Myālgía MD, PhD (formerly Virál)

Consequently, roughly speaking, in the best case scenario, the AE rate essentially matches COVID-19 mortality in the <18yo group. When probabilities of harm from COVID-19 are so low, treatment trials should have sufficient power to detect rare adverse events. 9/n

@contrarian4data - Newsom Myālgía MD, PhD (formerly Virál)

Since almost all treatment has the potential for adverse events, when examining treatments, we often look at the NNT (number needed to treat) and NNH (number needed to harm): https://www.cebm.ox.ac.uk/resources/ebm-tools/number-needed-to-treat-nnt Traditionally, when NNT > NNH, a treatment is justifiable (excluding cost) 10/n

Number Needed to Treat (NNT) The Number Needed to Treat (NNT) is the number of patients you need to treat to prevent one additional bad outcome (death, stroke, etc.). cebm.ox.ac.uk

@contrarian4data - Newsom Myālgía MD, PhD (formerly Virál)

But to accurately assess NNH, we need to know the underlying rate of adverse events with a treatment. In order to do so, the initial treatment trial must have "adequate power": they must have a sufficient number of patients in the trial to detect rare AEs. 11/n

@contrarian4data - Newsom Myālgía MD, PhD (formerly Virál)

If we want 95% certainty that we've detect at least *ONE* AE, required sample depends on the event rate. From Tweet 7: With AE with rate 0.00011 => need 30,000 patients With AE rate of 0.000017 => need 180,000 patients (calculate or use table: https://www.statstodo.com/SSizRareEvent_Exp.php) 12/n

@contrarian4data - Newsom Myālgía MD, PhD (formerly Virál)

Using the observed AE rates, potentially how underpowered was the 12yo-15yo Pfizer trial to detect just *ONE* AE? AE rate of 0.00011 => 30,000/1133 = ~26 fold too small AE rate of 0.000017 => 180,000/1133 = ~159 fold too small 13/n

@contrarian4data - Newsom Myālgía MD, PhD (formerly Virál)

Now, we are seeing emerging discussions about AEs from the mRNA vaccines in younger populations: https://cdc.gov/vaccines/acip/work-groups-vast/technical-report-2021-05-17.html https://www.nytimes.com/2021/05/22/health/cdc-heart-teens-vaccination.html Fortunately, myocarditis tends to have a benign course in most. In my download, the 4 reported cases appeared to do well. 14/n

Page Not Found | CDC Page Not Found | CDC cdc.gov
C.D.C. Is Investigating a Heart Problem in a Few Young Vaccine Recipients (Published 2021) The agency is reviewing several dozen reports that teenagers and young adults may have developed myocarditis after vaccination, officials said. But the agency has not determined whether the vaccine caused the condition. nytimes.com

@contrarian4data - Newsom Myālgía MD, PhD (formerly Virál)

But I am deeply concerned about how we went about the decision making for low risk Pediatric populations when the NNH > NNT. Even more than adults, there are clear risk factors that put a child at greater risk of severe COVID-19. Why not tailor guidance to at risk groups? 15/n

@contrarian4data - Newsom Myālgía MD, PhD (formerly Virál)

While there are always one-off exceptions, we know obesity plays a larger role for severe disease in younger populations (kids and younger adults): https://www.jpeds.com/article/S0022-3476(20)31393-7/fulltext https://www.cdc.gov/mmwr/volumes/70/wr/mm7010e4.htm#F2_down 16/n

Body Mass Index and Risk for COVID-19–Related ... This report describes the association between body mass index (BMI) and COVID-19 severity. cdc.gov

@contrarian4data - Newsom Myālgía MD, PhD (formerly Virál)

Some will argue that the NNT (NNV in this case) "goes to zero" because unvaccinated children can transmit to susceptible adults increasing the benefit to vaccinating children by breaking that chain of transmission: both primary infection and reinfection. 17/n

@contrarian4data - Newsom Myālgía MD, PhD (formerly Virál)

There are several problems with this hypothesis: 1) One has to establish that children drive the epidemic 2) Reinfection and infection post-vaccination results in severe COVID-19 18/n

@contrarian4data - Newsom Myālgía MD, PhD (formerly Virál)

Do children drive the epidemic? @nberpubs took a recent look at this: https://www.medrxiv.org/content/10.1101/2021.02.20.21252131v1.full.pdf They attributed 5% +/- 2% of transmission to school openings (ergo, young adults and kids). I have some standing concerns with this study: 19/n

@contrarian4data - Newsom Myālgía MD, PhD (formerly Virál)

@DouglasPollitt @TracyBethHoeg 3 thoughts: 1) data through 11/30/20 missed CA, NE, & MI (⬆️mask) waves while catching the sunbelt wave (⬆️open schools) Both would bias the results in the same direction. 2) Control for community transmission or just rely on cohort comparison? 3) Is 5% +/- 2% significant?

@contrarian4data - Newsom Myālgía MD, PhD (formerly Virál)

But let's take the respected @nberpubs's estimate 5% (+/- 2%) as given. It's also biologically plausible: https://www.pnas.org/content/118/8/e2021830118 We can now construct a simple quantitative thought exercise if NNT is significantly altered by Pediatric transmission concerns. 20/n

@contrarian4data - Newsom Myālgía MD, PhD (formerly Virál)

For the exercise, let's create an incredibly basic transmission model where either kids (K) or adults (A) are transmitting. Furthermore, we assume that K->A is the same as A->K. Both assumptions bias towards vaccinating the young to decrease transmission to at risk adults. 21/n

@contrarian4data - Newsom Myālgía MD, PhD (formerly Virál)

Referring to the attached, using a binomial expansion for the approximation and using the standard errors provided in the NBER paper, you can see that within 2 years, kids drive <1% of all transmission. Within 3 years, it's under 0.1%. Kids do/will not drive this pandemic. 22/n

@contrarian4data - Newsom Myālgía MD, PhD (formerly Virál)

As for the dangers of infection after vaccination or primary infection, we have abundant data that is reassuring in this regard. https://www.medrxiv.org/content/10.1101/2021.04.20.21255670v1.full.pdf Your vaccine/infection protects you. Rising vaccination will amplify natural processes in play (see images) 23/n

@contrarian4data - Newsom Myālgía MD, PhD (formerly Virál)

But we keep seeing "experts" like @DrLeanaWen pushing an innumerate narrative. Maybe she spends too much time with media to examine the data or have someone help her understand it. She has been repeatedly wrong and can't correct her ways. 24/n

@DrLeanaWen - Leana Wen, M.D.

The American Academy of Pediatrics is right: Unvaccinated children need to stay masked around other unvaccinated people, including in schools. Nearly 1 in 4 new #covid19 infections are in kids. We need to help keep them safe. https://www.google.com/amp/s/amp.cnn.com/cnn/2021/05/14/health/children-under-12-cdc-masks-wen-wellness/index.html

Video Transcript AI Summary
There is a misconception that kids don't get COVID-19, but that's not true. Over 3.9 million children have been infected, and 24% of new cases are in children. Many children have also experienced a multisystem inflammatory syndrome. While masks aren't necessary for kids outdoors, they should wear them indoors if they are around other unvaccinated children or adults, especially in schools.
Full Transcript
Speaker 0: That last part is what I'm really worried about because there is this pervasive narrative out there, Anderson, that somehow kids don't get COVID nineteen, which is just not true. We know that there are 3,900,000 infections among children with COVID nineteen. 24% of the new cases are actually in children. Thousands of children have gotten this multisystem inflammatory syndrome. And so children don't need to wear masks outdoors, but indoors, if they are around other kids who are also unvaccinated, they should be wearing masks, and that includes in schools, if there are unvaccinated adults and unvaccinated children, they should all be wearing masks around one another.
How should parents with children younger than 12 use the CDC's new mask guidelines? Dr. Wen explains | CNN The US Centers for Disease Control and Prevention’s newly loosened masking and physical distancing guidelines for people fully vaccinated against Covid-19 doesn’t include children under age 12. cnn.com

@contrarian4data - Newsom Myālgía MD, PhD (formerly Virál)

I am not some "contrarian voice" in the hinterlands. We have a horribly dysfunctional policy conversation in this country driven by politicization and an incurious and innumerate media. Speak to your Pediatrician and do what makes you feel safe. https://t.co/Wx3p5cwdbI 25/n

@TracyBethHoeg - Tracy Høeg, MD, PhD

"Should kids get vaccinated? Experts say no." From the major Danish newspaper, @politiken. A very healthy debate between physicians, promoting both sides and different angles. Open discussion of science without fear of repercussions leads to wiser decisions.

@contrarian4data - Newsom Myālgía MD, PhD (formerly Virál)

@sdbaral @davidzweig @VPrasadMDMPH @ProfEmilyOster @WesPegden @TracyBethHoeg @MonicaGandhi9 @covidtweets @Hold2LLC @Humble_Analysis @interpolated @ebennett74 I look forward to questions and feedback

@contrarian4data - Newsom Myālgía MD, PhD (formerly Virál)

And how could I forget @districtai !

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