Risk of thrombocytopenia and thromboembolism after covid-19 vaccination and SARS-CoV-2 positive testing: self-controlled case series study
BMJ 2021; 374 doi: https://doi.org/10.1136/bmj.n1931 (Published 27 August 2021) Cite this as: BMJ 2021;374:n1931Linked Editorial
Strengthening international surveillance of vaccine safety
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Dear Editor,
As far as I can see the whole cohort of participants were vaccinated. I did ask for clarification from the authors.
In other words it didn't compare vaccinated with unvaccinated.
It compared the risk of disease in the vaccinated with the risk of disease in the vaccinated who also tested positive for Covid19.
So absolutely no conclusions can be drawn on the safety of the vaccines apart from the fact that the incidence of disease was greater than the background incidence of the disease ie among unvaccinated.
Perhaps the authors can clarify if it did compare with unvaccinated, if so how many were in this category as I can see no reference to unvaccinated apart from the possible incidence of disease prior to vaccination.
Ruth Sharratt
Competing interests: No competing interests
Dear editor,
The article by Hippisley-Cox et al. compares side effects in first-dose vaccinated people with side effects in vaccinated people suffering from a breakthrough infection with Sars-Cov-2. We know from other studies (e.g. Menni, The Lancet 21 (7), p. 939) that side effects can be much stronger after the second dose. Could unwanted effects after the second dose be as high as they are after breakthrough infection?
Meaningful comparisons would be (i) those between people who have been vaccinated once and twice and those with breakthrough infection or (ii) between those who have been vaccinated and those who are infected, but not vaccinated. The analysis even begs the question of whether the undesirable side effects could be worse after a breakthrough infection than after infection without vaccination. If one takes into account the age-related benefits and risks of vaccination, the result could even argue against vaccination of younger people.
Competing interests: No competing interests
Dear Editor
This is a very helpful analysis comparing ADRs after the first dose of ChAdOx1 nCoV-19, or BNT162b2 mRNA vaccines, with SARS-CoV-2 infections in the vaccinated population. It shows clearly all vaccines cause adverse events, and these may rarely be lethal, but SARS-CoV-2 infections are quantitatively and qualitatively far more likely to cause more severe outcomes.
It is already established that the risk of infection with SARS-CoV-2 is reduced in vaccinated people, with two doses being more effective than one, particularly after 28 days.(1,2)
It appears that in the small proportion of vaccinated people that develop SARS-CoV-2 infections, there is no difference in disease severity. (3)
I look forward to the next publication that includes follow up after the second dose of each vaccine
References
1. Sheikh A, McMenamin J, Taylor B, Robertson C; Public Health Scotland and the EAVE II Collaborators. SARS-CoV-2 Delta VOC in Scotland: demographics, risk of hospital admission, and vaccine effectiveness. Lancet. 2021;397(10293):2461-2462. doi:10.1016/S0140-6736(21)01358-1
2. Griffin JB, Haddix M, Danza P, et al. SARS-CoV-2 Infections and Hospitalizations Among Persons Aged ≥16 Years, by Vaccination Status — Los Angeles County, California, May 1–July 25, 2021. MMWR Morb Mortal Wkly Rep 2021;70:1170–1176. DOI: http://dx.doi.org/10.15585/mmwr.mm7034e5
3. Butt AA, Yan P, Shaikh OS, Mayr FB. Outcomes among patients with breakthrough SARS-CoV-2 infection after vaccination in a high-risk national population. EClinicalMedicine. 2021;40:101117. doi:10.1016/j.eclinm.2021.101117
Competing interests: No competing interests
Dear Editor,
The article combines an impressive number of data points but it does not say very much about the quality of a data point. There is reason to question the data quality of this data set.
The article does not explain how the pre-risk period of 1 month (28 days) comes about. I.e. the authors observed an increased risk of adverse outcomes up to 28 days before the exposure. What should be the reason for that except that there is a considerable problem with the exposure dates and/or the outcome dates?
As mentioned in the text and shown in supplementary figure 2a, adverse outcomes for vaccinations preceded the exposure up to 1 month (28 days). This indicates that the exposure dates were accurate only up to plus/minus 1 month. Also, the authors give no explanation how this pronounced 2-peaked form in supplementary figure 2a comes about.
An exposure date accurate only up to plus/minus 1 month is significant because the total observation period is only 5 months. If the data quality of the exposure dates is poor it is difficult to discriminate between positive test and vaccination when it comes to the combined exposure of a positive SARS-CoV2 test and a vaccination. This is what the article is reporting when it comes to test related events, a combined exposure to test and vaccination. A clear differentiation between those events could be possible, if they differ by more than 2 month.
That this is a serious problem can be seen in table 3 of the article where the incidence rate ratio (IRR) of an adverse outcome in the pre-risk phase after (i.e. before) a positive test is up to 5 times higher than baseline. The same elevated pre-risk does not appear after (i.e. before) a vaccinations, for none of the outcomes. That happened because the authors attributed the adverse effect to the positive test exposure only though it was a combined exposure of test and vaccination that relates to an adverse effect. In this sense the authors decided what caused the outcome.
This data set does say something about the combined exposure of vaccination and positive test and the outcome thrombosis like adverse reaction and this gives cause for concern. But it says very little if not nothing about the positive test event alone and the outcome thrombosis like event.
In view of the recent deaths related to vaccinations it would have been desirable if the authors had interpreted their data more conservatively. Caution is advised to conclude from this data set that the risk of vaccination related adverse outcomes is smaller than the risk of positive test related adverse outcomes.
Best regards,
Johannes Kreis
Competing interests: No competing interests
Dear Editor
A patient under 45 with no health conditions receiving the Covid-19 vaccine has a right to know:
(1) If I get vaccinated, what is my risk of hospitalization and death from complications of the vaccine?
(2) If I don't get vaccinated, what is my risk of hospitalization and death from complications of SARS Cov-2 infection that would be prevented by the vaccine?
We need to compare (1) and (2), and we should only advise vaccination if (2) is greater than (1).
This article gives the short-term risk of vaccination (about 1 in 55,000). This under-estimates the risk in (1) because it does not include the long-term risk of the vaccine nor the risk of the second dose.
The risk in (2) is the crude mortality/hospitalization rate from SARS Cov-2 infection minus the risk of serious infection despite the vaccine. The ONS has published crude mortality rates in different age groups for the period before vaccination started. The ONS data over-estimate the risk in (2) because they do not include the risk of infection despite the vaccine, the protective effects of natural immunity and herd immunity, and the lower risk of people without chronic health conditions.
Lisa Shaw proceeded with vaccination in the belief that the risk (2) was greater for her than the risk in (1) but I am no longer convinced that this is the case. I do not feel confident to advise patients under 45 with no health conditions that the vaccine is in their best interests. You can make the case that vaccination is still worthwhile in these patients for the public health benefit, but informed consent is required and the patient needs to be told that they are putting themselves at a small personal risk for the sake of protecting vulnerable people in the population.
Competing interests: No competing interests
Dear Editor
Shyan Goh writes [1]:
“ Astra Zeneca sure needed better media communication specialists, marketing experts and public relations strategists than what they have so far, considering the discrepancy in public concerns and brand damage in response to vaccine-related adverse events connected to ChAdOx1 nCoV-19 when compared to those of “the other vaccine”.”
Unfortunately “communication specialists, marketing experts and public relations” is what we get from pharmaceutical companies. What the public and the medical profession should expect is not that they do more of it, or do it better, but candour.
[1] Shyan Goh, ‘ One swallow does not a summer make but perhaps fodder for AstraZeneca to improve their brand image’, 27 August 2021, https://www.bmj.com/content/374/bmj.n1931/rr-1
Competing interests: AgeofAutism.com, an on-line daily journal, concerns itself with the potential environmental sources for the proliferation of autism, neurological impairment, immune dysfunction and chronic disease. I receive no payment as UK Editor. I also moderate comments for the on-line journal ‘The Defender’ for which I am paid. I am also a member of the UK Medical Freedom Alliance
Dear Editor
if there is anything I can conclude from this study, it is the alarming observation that vaccinated people are at much higher risk of experiencing thrombotic events than unvaccinated people.
This conclusion is based on the fact that all participants in this study were vaccinated, including the ones that were tested positive for Covid. - Therefore, all reported cases of thrombotic events in the study occurred after vaccination.
The study claims to provide a comparison of the risk for severe complications for those being vaccinated against Covid and those being tested positive for Covid. However, for a valid comparison between those two groups the Covid control group would have to be unvaccinated.
Competing interests: No competing interests
Dear Editor
The risks of thrombocytopenia, venous thromboembolism, and arterial thrombosis as characterized in Table 2, even though broken down by vaccine and positive SARS-CoV-2 test - are all vaccinated populations, according to your study.
Therefore this is the rate of thrombotic events in a vaccinated population who has a "breakthrough" infection.
To my knowledge we do not know the prevalence of blood clots or venous thromboembolism in a vaccine naive population who test positive for SARS-CoV-2, most existing research examine hospitalizations and fail to take into account all infections, including asymptomatic and mild infections.
Please examine this higher risk for blood clots associated with breakthrough infection as this may be a safety signal.
Competing interests: No competing interests
Dear Editor,
the article by Hippisley-Cox et al. states that the cases of “SARS-CoV2 infection” refer to the same vaccinated population. Cf. ibd.
“We also investigated the association between a SARS-CoV-2 positive test and the thrombotic events of interest among the same vaccinated population.”
and
“Table 1: Baseline demographic characteristics of people receiving first dose of covid-19 vaccine or testing positive for SARS-CoV-2 virus among vaccinated population in England from 1 December 2020 to 24 April 2021”
The same can be read on the picture on Dr. Hippisley-Cox’s twitter account, “...who went on to catch COVID-19”, see https://twitter.com/JuliaHCox/status/1431141982555058176
As I read it the “SARS-CoV2 infection” cases were vaccinated. Hippisley-Cox et al. should clarify this point.
Best regards,
Johannes Kreis
Competing interests: No competing interests
Re: Risk of thrombocytopenia and thromboembolism after covid-19 vaccination and SARS-CoV-2 positive testing: self-controlled case series study
Dear Editor
In response to Ruth Sharratt's question, the study was "self-controlled". As I understand it, the 'unvaccinated " controls are represented by those time periods in the dataset BEFORE the vaccination date. A clear spike in thrombocytopenic thromboembolism occurs, in the immediate post-vaccination period.
"The self-controlled case series was originally developed to assess risks of adverse events to vaccination (16 ). The case series determines the relative incidence of the outcome of interest for exposed time periods (eg, after vaccination or SARS-CoV-2 infection) compared with unexposed baseline periods in people with the outcome of interest (see supplementary fig 1). Inference is within people and therefore this implicitly controls for all covariates that remain constant during the study period. "
The Authors explain why they chose this methodology, in the "Strength and Limitations" discussion.
The national rates of thrombocytopenia and thromboembolism are published elsewhere (1), who also provide the clear "all-cause mortality" comparisons between vaccinated and unvaccinated, by age group, sought by Imran Usmani.
References
1. ONS https://assets.publishing.service.gov.uk/government/uploads/system/uploa...
Competing interests: No competing interests