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. 2022 Sep 30;12:16406. doi: 10.1038/s41598-022-20118-6

Risk of thrombocytopenic, haemorrhagic and thromboembolic disorders following COVID-19 vaccination and positive test: a self-controlled case series analysis in Wales

Fatemeh Torabi 1,, Stuart Bedston 1, Emily Lowthian 1, Ashley Akbari 1, Rhiannon K Owen 1, Declan T Bradley 2,3, Utkarsh Agrawal 4, Peter Collins 5, Richard Fry 1, Lucy J Griffiths 1, Jillian Beggs 6, Gareth Davies 1, Joe Hollinghurst 1, Jane Lyons 1, Hoda Abbasizanjani 1, Simon Cottrell 7, Malorie Perry 7, Richard Roberts 7, Amaya Azcoaga-Lorenzo 4, Adeniyi Francis Fagbamigbe 4, Ting Shi 8, Ruby S M Tsang 9, Chris Robertson 10, F D Richard Hobbs 9, Simon de Lusignan 9, Colin McCowan 4, Michael Gravenor 1, Colin R Simpson 8,11, Aziz Sheikh 12,#, Ronan A Lyons 1,#
PMCID: PMC9524320  PMID: 36180455

Abstract

There is a need for better understanding of the risk of thrombocytopenic, haemorrhagic, thromboembolic disorders following first, second and booster vaccination doses and testing positive for SARS-CoV-2. Self-controlled cases series analysis of 2.1 million linked patient records in Wales between 7th December 2020 and 31st December 2021. Outcomes were the first diagnosis of thrombocytopenic, haemorrhagic and thromboembolic events in primary or secondary care datasets, exposure was defined as 0–28 days post-vaccination or a positive reverse transcription polymerase chain reaction test for SARS-CoV-2. 36,136 individuals experienced either a thrombocytopenic, haemorrhagic or thromboembolic event during the study period. Relative to baseline, our observations show greater risk of outcomes in the periods post-first dose of BNT162b2 for haemorrhagic (IRR 1.47, 95%CI: 1.04–2.08) and idiopathic thrombocytopenic purpura (IRR 2.80, 95%CI: 1.21–6.49) events; post-second dose of ChAdOx1 for arterial thrombosis (IRR 1.14, 95%CI: 1.01–1.29); post-booster greater risk of venous thromboembolic (VTE) (IRR-Moderna 3.62, 95%CI: 0.99–13.17) (IRR-BNT162b2 1.39, 95%CI: 1.04–1.87) and arterial thrombosis (IRR-Moderna 3.14, 95%CI: 1.14–8.64) (IRR-BNT162b2 1.34, 95%CI: 1.15–1.58). Similarly, post SARS-CoV-2 infection the risk was increased for haemorrhagic (IRR 1.49, 95%CI: 1.15–1.92), VTE (IRR 5.63, 95%CI: 4.91, 6.4), arterial thrombosis (IRR 2.46, 95%CI: 2.22–2.71). We found that there was a measurable risk of thrombocytopenic, haemorrhagic, thromboembolic events after COVID-19 vaccination and infection.

Subject terms: Public health, Experimental models of disease, Health care, Medical research

Introduction

The COVID-19 vaccination programme began in Wales on 7th December 2020. By the end of 2021, there were three types of vaccine available in Wales: BNT162b2 mRNA (Pfizer-BioNTech, hereafter BNT162b2), ChAdOx1 nCoV-19 (Oxford-AstraZeneca, hereafter ChAdOx1) and mRNA-1273 (Moderna)1. The vaccine booster programme started in Wales on 25th October 2021, initially high risk vaccinated individuals were eligible to receive a booster at least 6 months after completion of their primary vaccine course2 this was updated later including all vaccinated individuals from three months after their initial dose of vaccine3. Boosters were all mRNA based with two types being offered in Wales: half a dose of mRNA-1273 (Moderna) or a complete dose of BNT162b2. Whilst the mRNA-1273 vaccine was made available in Wales from 7th April 2021, it was majorly administered in the booster programme, with only small numbers receiving it for their first and second dose. The vaccination delivery programme in Wales adhered to JCVI advice towards reducing the risk of serious outcomes while maximising protection in the population with continuous monitoring for hospitalisation rates and risk of death and serious outcomes4,5.

Indeed, all released vaccines have passed multiple safety and efficacy checks through each phase of clinical trials69. Clinical trials have limited ability to assess vaccine safety in relation to rare adverse outcomes69; hence, real-world evaluation of vaccine safety provides an opportunity to monitor incidence of rare adverse outcomes post vaccination. A media release in February 2021, about adverse reactions reported a possible association between ChAdOx1 and thrombotic events, specifically cerebral venous sinus thrombosis (CVST)10. In Wales, a set of rapid analyses were conducted in March 2021 to evaluate the number of rare clotting disorders following COVID-19 vaccination11. In June 2021, as part of a UK-wide study, we reported an increased risk of idiopathic thrombocytopenic purpura (ITP), arterial thromboembolism and haemorrhagic events associated with first dose of ChAdOx1 vaccine12. Similarly, a more recent study reporting results up to April 2021 in England reported an increased risk of thrombocytopenia, venous thromboembolism in the second week following first dose of ChAdOx1 vaccination and increased risk of ischaemic stroke in the third week following BNT162b2 vaccination13. We studied the risk of very rare cerebral venous thromboembolic (CVST) events as part of a UK-wide pooled analysis, showing a small increase of the risk of CVST post first dose of ChAdOx1. To date the risk of adverse clotting events been reported post first vaccination dose across UK nations1214, the risk post second vaccinations and boosters are is under reported.

We used the Secure Anonymised Information Linkage (SAIL) Databank to analyse the risk of thrombocytopenic, haemorrhagic and thromboembolic events post first and second doses of ChAdOx1 and BNT162b2 and booster dose of BNT162b2 or mRNA-1273vaccines in the population of Wales. We evaluated vaccination safety and risk following each dose of COVID-19 vaccine, alongside the risks associated with SARS-CoV-2 infection.

Added value of this work

This study is one of the first to examine the risk of all dosages of ChAdOx1 and BNT162b2 and booster on an array of serious bleeding and clotting events in the adult population of Wales, UK. We found that both COVID-19 vaccination and SARS-CoV-2 infection posed a measurable risk, while for VTE and haemorrhagic events there was a greater risk post infection compared to vaccination.

Methods

We used a self-controlled case series (SCCS) approach to analyse, separately, the association of vaccination and reverse transcription‐polymerase chain reaction RT-PCR-confirmed SARS-CoV-2 infection with adverse haematological and venous events between 7th December 2020 and 31st December 2021. Anonymised individual-level, population-scale linked routinely collected electronic health record (EHR) data from multiple sources available in SAIL Databank were used15,16. The study cohort comprised of 3.4 million people residing in Wales. We constructed an electronic COVID-19 cohort with an anonymised linkage field in the SAIL Databank17. All those who were alive at the start of the study were checked against the eligibility criteria.

Cohort eligibility

Our final sample included 2,062,144 individuals aged 16 or over who were registered with a primary care GP providing data to SAIL Databank in Wales (approximately 83% of all GPs in Wales providing data to SAIL Databank) who had valid Local Super Output Area (LSOA) code of residency in Wales as well as complete demographic and vaccination records (see Fig. 2 for consort diagram of cohort, Supplementary Table 1a for sample selection) and had sufficient follow up to 31 December 202117 (Supplementary Table 2 for further details on each data source). LSOA code of residency was used to link individual records to the Welsh Index of Multiple Deprivation18 and determine deprivation status.

Figure 2.

Figure 2

Consort diagram of cohort selection.

Exposure

For analysing associations with a vaccine, we considered an individual exposed from the day they received their dose up to 28 days after vaccination. mRNA-1273was only included in our analysis when administered as a booster. First, second and third doses of mRNA-1273were excluded from our study due to insufficient numbers. Booster dose of vaccination was marked in the extract of Covid Vaccination Dataset (CVVD) and we used a sequential count to identify dosage including first, second and third dose of each vaccine.

For analysing associations with SARS-CoV-2 infection, we considered an individual exposed from the date the specimen was taken for the positive test, up to 28 days.

Outcome events

The primary outcomes of interest were first clinical diagnosis of thrombocytopenic, haemorrhagic and thromboembolic events, including: venous thromboembolic (VTE), idiopathic thrombocytopenic purpura (ITP) and arterial thrombosis events in primary or secondary care electronic records. Our secondary outcomes were first hospitalisation for ischaemic stroke and myocardial infarction. To identify primary outcome events, we searched both primary and secondary care records (see Supplementary Table 3 for the list of International Classification of Diseases 10th revision (ICD-10) and Read (CTV2) codes used). Incident cases were defined as anyone having an event between 7th December 2020 (start of the vaccination programme in Wales) and 31st December 2021. To ensure the first incident was captured, individuals with an event in the year prior to the start of the vaccination period were removed from the analysis.

Statistical analysis

We undertook a SCCS analysis of the people experiencing the incident outcome events during observation period1921. We calculated the relative risk reported as incident rate ration (IRR) of these adverse events occurring in the 28 days after each dose of vaccination or SARS-CoV2 infection, compared against risk in baseline period (Fig. 1)22. As the inference for each outcome is based on inter-person changes, the SCCS method implicitly accounts for a range of covariates which remain unchanged during the observation window21. As the first vaccination in Wales was administered on 7th December 2020, considering a 90 days pre-risk interval and a 14-days clearance period, we started the study follow-up period 104 days prior to this date on 25th August 2020 or 104 days prior to an individual’s vaccination date, whichever was latest. We imposed a clearance period prior to each vaccination date as an earlier outcome event was considered highly likely to disrupt vaccination23. For the infection analysis, we did not impose a clearance period as an earlier outcome event was unlikely to disrupt future SARS-CoV2 infection. Vaccinated and tested cohorts were treated separately in this analysis.

Figure 1.

Figure 1

Self-controlled case series study design by vaccination status and positive PCR test status, separately.

For each dose of vaccination, the dates of administration were used as the start time of the 28 days exposure, respectively. The time between doses and booster was partitioned as a post-dose period and a 14 days clearance period. For those who had been only vaccinated with one dose, their time after the dose risk period was considered post-dose control. We ceased follow-up on an individual prior to the study end date if they died, were no longer registered with a primary care that provides data to SAIL (approximately 83% of all GPs in Wales providing data to SAIL Databank), or were no longer residing in Wales. The risk of developing an adverse event within the exposure windows are compared to the baseline risk of developing an event in pre-vaccination or ≥ 29 days post each vaccination dose (Fig. 1).

The model was fitted and IRRs were estimated using a conditional logistic regression, with the periods described in Fig. 1 being used as strata and their length as an offset24. Baseline intervals were used as the reference for vaccine and infection. We report estimates for baseline, clearance and risk intervals, along with 95% confidence intervals (CIs). R (version 5.3) was used to perform all analyses.

Negative and positive controls

To check for potential confounding or bias, we considered events related to hip fractures as negative control outcomes13. Clinically, these events are unlikely to be directly associated with vaccination25. We also investigated the risk for combined anaphylaxis and adverse vaccine reactions (positive control) by extracting any hospital records for anaphylaxis and any recorded adverse reactions from the vaccination records of individuals. We used anaphylaxis as a positive control in this study, as those events are assumed to be highly associated with vaccination.

Sensitivity analyses

We conducted two sets of sensitivity analyses: (I) excluding those who died within 90 days of an event, this was to handle any biases in our estimation based on the events which caused death26; and (II) excluding unvaccinated cases from analysis, this was to assess whether inclusion of unvaccinated cases affected our choice of risk period and estimated IRR27.

Ethics approval and consent to participate

The data used in this study are accessed from the SAIL Databank (https://saildatabank.com/) at Swansea University, Swansea, UK. All proposals to use SAIL data are subject to review by an independent Information Governance Review Panel (IGRP). Before any data can be accessed, approval must be given by the IGRP. The IGRP gives careful consideration to each project to ensure proper and appropriate use of SAIL data which covers informed consent of participants where applicable. When access has been approved, it is gained through a privacy-protecting safe haven and remote access system referred to as the SAIL Gateway. SAIL has established an application process to be followed by anyone who would like to access data via SAIL https://www.saildatabank.com/application-process. This study has been approved by SAIL Information Governance Review Panel (IGRP) under application/project number 0911 and all research conducted in this study has been completed under the permission and approval of the IGRP.

Results

Our sample consisted of 2,062,144 individuals (mean age of 49 years, SD 19.56), contributing a total of 1,399,251 person-years of follow-up (See Fig. 2 and Supplementary Table 1 for sample selection summary). Of 2,062,144 individuals, 1,738,427 (84.3%) were vaccinated with two dosage primary schedule, 61,930 (3.0%) were vaccinated with only one dose, and 261,787 (12.7%) remained unvaccinated by 31st December 2021. We identified a total of 36,136 cases, of whom the majority 23,209 (64.2%) had received their booster dose (mRNA-1273 = 5410 and BNT162b2 = 17,799), with 1895 individuals receiving three vaccine doses (ChAdOx1 = 112, BNT162b2 = 1633) and 7111 individuals receivingtwo vaccine doses (ChAdOx1 = 5309, BNT162b2 = 1731) and 1,582 individuals receiving a single dose of vaccine (ChAdOx1 = 1254, BNT162b2 = 319) (Table 1 and Supplementary Table 4). In total, 6975 (19.3%) cases tested positive for SARS-CoV-2 during the observation window.

Table 1.

Baseline characteristics of the study cohort (n = 36,136), stratified separately by vaccination status and PCR-confirmed SARS-CoV-2 infection status.

COVID-19 vaccination status* SARS-CoV2 infection status
Unvaccinated
(n = 2339)
ChAdOx1 primary schedule BNT162b2 primary schedule BNT162b2 booster dose
(n = 17,799)
mRNA-1273 booster dose**
(n = 5410)
No positive PCR test
(n = 29,161)
Positive PCR test
(n = 6975)
One dose only
(n = 1254)
Two doses
(n = 5309)
Three doses
(n = 112)
One dose only
(n = 319)
Two doses
(n = 1731)
Three doses
(n = 1633)
Incident category
Arterial Thrombosis 960 (41.0%) 573 (45.7%) 2562 (48.3%) 67 (59.8%) 89 (27.9%) 651 (37.6%) 707 (43.3%) 9229 (51.9%) 2364 (43.7%) 14,149 (48.5%) 3143 (45.1%)
Haemorrhagic events 252 (10.8%) 81 (6.5%) 431 (8.1%) 10 (8.9%) 47 (14.7%) 225 (13.0%) 184 (11.3%) 1890 (10.6%) 684 (12.6%) 3079 (10.6%) 748 (10.7%)
Idiopathic thrombocytopenic purpura 20 (0.9%) 10 (0.8%) 32 (0.6%) < 5 < 5 34 (2.0%) 39 (2.4%) 86 (0.5%) 35 (0.6%) 207 (0.7%) 56 (0.8%)
Ischaemic Stroke 288 (12.3%) 189 (15.1%) 768 (14.5%) Masked 39 (12.2%) 226 (13.1%) 127 (7.8%) 2085 (11.7%) 551 (10.2%) 3548 (12.2%) 762 (10.9%)
Myocardial Infarction 250 (10.7%) 145 (11.6%) 553 (10.4%) Masked Masked 165 (9.5%) 120 (7.3%) 1,650 (9.3%) 628 (11.6%) 2949 (10.1%) 624 (8.9%)
Thrombocytopenia 12 (0.5%) 7 (0.6%) 26 (0.5%) < 5 < 5 20 (1.2%) 28 (1.7%) 65 (0.4%) 26 (0.5%) 158 (0.5%) 35 (0.5%)
Venous thromboembolic events 557 (23.8%) 249 (19.9%) 937 (17.6%) 14 (12.5%) 110 (34.5%) 410 (23.7%) 428 (26.2%) 2794 (15.7%) 1122 (20.7%) 5071 (17.4%) 1607 (23.0%)
Sex
Female 1078 (46.0%) 603 (48.1%) 2701 (50.9%) 67 (59.8%) 155 (48.6%) 840 (48.5%) 748 (45.8%) 8564 (48.1%) 2271 (42.0%) 13,697 (47.0%) 3426 (49.1%)
Male 1261 (53.9%) 651 (51.9%) 2608 (49.1%) 45 (40.2%) 164 (51.4%) 891 (51.5%) 885 (54%) 9235 (51.9%) 3139 (58.0%) 15,464 (53.0%) 3549 (50.9%)
Age band (years)
16–29 141 (6.0%) 10 (0.8%) 40 (0.8%) < 5 41 (12.9%) 162 (9.4%) 21 (1.3%) 76 (0.4%) 89 (1.6%) 377 (1.3%) 211 (3.0%)
30–39 170 (7.3%) 36 (2.9%) 139 (2.6%) < 5 41 (12.9%) 173 (10.0%) 30 (1.8%) 204 (1.1%) 177 (3.3%) 676 (2.3%) 313 (4.5%)
40–49 213 (9.1%) 87 (6.9%) 372 (7.0%) < 5 41 (12.9%) 156 (9.0%) 76 (4.7%) 467 (2.6%) 507 (9.4%) 1397 (4.8%) 555 (8.0%)
50–59 360 (15.4%) 143 (11.4%) 756 (14.2%) Masked 36 (11.3%) 190 (11.0%) 206 (12.6%) 1346 (7.6%) 1519 (28.1%) 3569 (12.2%) 1038 (14.9%)
60–69 386 (16.5%) 194 (15.5%) 837 (15.8%) Masked 28 (8.8%) 188 (10.9%) 405 (24.8%) 3068 (17.2%) 1698 (31.4%) 5576 (19.1%) 1285 (18.4%)
70–79 475 (20.3%) 230 (18.3%) 967 (18.2%) 32 (28.6%) 87 (27.3%) 645 (37.3%) 578 (35.4%) 6609 (37.1%) 808 (14.9%) 8881 (30.5%) 1599 (22.9%)
80–89 424 (18.1%) 376 (30.0%) 1519 (28.6%) 40 (35.7%) 34 (10.7%) 162 (9.4%) 284 (17.4%) 4943 (27.8%) 453 (8.4%) 6806 (23.3%) 1463 (21.0%)
90+ 170 (7.3%) 178 (14.2%) 679 (12.8%) 15 (13.4%) 11 (3.4%) 55 (3.2%) 33 (2.0%) 1086 (6.1%) 159 (2.9%) 1879 (6.4%) 511 (7.3%)
Deprivation status
1 (most deprived) 690 (29.5%) 323 (25.8%) 1354 (25.5%) 11 (9.8%) 93 (29.2%) 464 (26.8%) 337 (20.6%) 3165 (17.8%) 1156 (21.4%) 5882 (20.2%) 1739 (24.9%)
2 563 (24.1%) 282 (22.5%) 1156 (21.8%) 28 (25.0%) 72 (22.6%) 343 (19.8%) 348 (21.3%) 3466 (19.5%) 1272 (23.5%) 6019 (20.6%) 1557 (22.3%)
3 382 (16.3%) 226 (18.0%) 1042 (19.6%) 28 (25.0%) 57 (17.9%) 323 (18.7%) 307 (18.8%) 3498 (19.7%) 1008 (18.6%) 5692 (19.5%) 1252 (17.9%)
4 379 (16.2%) 207 (16.5%) 884 (16.7%) 24 (21.4%) 48 (15.0%) 311 (18.0%) 290 (17.8%) 3744 (21.0%) 950 (17.6%) 5725 (19.6%) 1164 (16.7%)
5 (least deprived) 325 (13.9%) 216 (17.2%) 873 (16.4%) 21 (18.8%) 49 (15.4%) 290 (16.8%) 351 (21.5%) 3926 (22.1%) 1024 (18.9%) 5843 (20.0%) 1263 (18.1%)
Number of previous COVID-19 tests
0 1712 (73.2%) 923 (73.6%) 3830 (72.1%) 79 (70.5%) 207 (64.9%) 1230 (71.1%) 1076 (65.9%) 14,259 (80.1%) 4215 (77.9%) 23,459 (80.4%) 4228 (60.6%)
1 311 (13.3%) 147 (11.7%) 749 (14.1%) 11 (9.8%) 55 (17.2%) 271 (15.7%) 273 (16.7%) 2127 (12.0%) 791 (14.6%) 3474 (11.9%) 1302 (18.7%)
2–4 230 (9.8%) 133 (10.6%) 513 (9.7%) 12 (10.7%) 39 (12.2%) 152 (8.8%) 222 (13.6%) 999 (5.6%) 331 (6.1%) 1716 (5.9%) 935 (13.4%)
5–9 69 (2.9%) 42 (3.3%) 163 (3.1%) 10 (8.9%) 8 (2.5%) 31 (1.8%) 46 (2.8%) 229 (1.3%) 52 (1.0%) 332 (1.1%) 328 (4.7%)
10+ 17 (0.7%) 9 (0.7%) 54 (1.0%) 0 (0%) 10 (3.1%) 47 (2.7%) 16 (1.0%) 185 (1.0%) 21 (0.4%) 180 (0.6%) 182 (2.6%)

*Not shown are the 290 that were either on their first, second or third dose of mRNA-1273 under the primary vaccination schedule.

**Includes those who received half-dose of mRNA-1273.

The smallest proportion of cases (0.3%) were those receiving a third dose of ChAdOx1 vaccine as opposed to booster. Vaccination status was equally distributed among sex, in the majority of groups there was a notable 20% difference, between females (59.8%) receiving a third dose of ChAdOx1 compared to the males (40.2%). Those between 70 and 79 years and above had greater proportions of being vaccinated. The least deprived groups had a higher proportion of receiving a BNT162b2 booster (22.1%), while the proportion of unvaccinated were higher in the most deprived groups. The majority of cases did not have a recorded RT-PCR test for SARS-CoV-2 prior to experiencing an outcome event (Table 1).

Thrombocytopenia (excluding ITP)

We observed no evidence for increased risk of thrombocytopenia events post first dose of ChAdOx1 or BNT162b2 vaccine. There was a suggestive increased risk, but imprecisely estimated due to low number of thrombocytopenia in 22–28 days post second dose of BNT162b2 (IRR 3.15, 95%CI 0.96, 10.32). Thrombocytopenia incidents were very rare post booster. We observed no evidence of change in risk of haemorrhagic events post booster dose of vaccines.

There was a suggestive increased risk, but imprecisely estimated due to low number of thrombocytopenia events in 0–28 days post SARS-CoV-2 infection (IRR 1.29, 95%CI 0.54–3.07). See Fig. 3 and Table 2.

Figure 3.

Figure 3

Incidence rate ratios (95% confidence intervals) for primary and secondary outcomes in 0–28 and 29 or more days after the first and second doses of ChAdOx1 (and BNF162b2 vaccines, and RT-PCR-confirmed SARS-CoV-2 infection, between 7 December 2020 and 31 December 2021.

Table 2.

Incidence rate ratios (95% confidence intervals) stratified by vaccination dose intervals, and separately by SARS-CoV-2 infection intervals (*P-value ≤ 0.05, **P-value ≤ 0.01).

ChAdOx1 vaccine BNT162b2 vaccine PCR-confirmed SARS-CoV-2 infection
Time period Incidents IRR (95% CI) Incidents IRR (95% CI) Time period Incidents IRR (95% CI)
Thrombocytopenia
Baseline 105 1.00 39 1.00 Pre-infection 207 1.00
Dose 1 1–14 days-pre first dose clearance < 10 0.92 (0.40, 2.1) < 10 0.43 (0.06, 3.18)
0–7 days post first dose risk 0 < 10 2.44 (0.74, 8.05)
8–14 days post first dose risk < 10 0.66 (0.16, 2.67) < 10 0.93 (0.13, 6.84)
15–21 days post first dose risk < 10 0.98 (0.31, 3.11) < 10 0.94 (0.13, 6.90)
22–28 days post first dose risk < 10 0.33 (0.05, 2.36)

0–28 days

post-infection

< 10 1.29 (0.54, 3.07)
Dose 2 1–14 days-pre second dose clearance < 10 0.54 (0.17, 1.69) 0
0–7 days post second dose risk < 10 0.33 (0.05, 2.37) < 10 0.90 (0.12, 6.56)
8–14 days post second dose risk < 10 0.38 (0.05, 2.76) 0
15–21 days post second dose risk < 10 1.56 (0.57, 4.26) 0
22–28 days post second dose risk < 10 0.39 (0.05, 2.78) < 10 3.15 (0.96, 10.32)*
Dose 3 1–14 days-pre third dose clearance 0 < 10 2.45 (0.31, 19.28)
0–7 days post third dose risk 0

29+days

post-infection

11 0.24 (0.11, 0.54)**
8–14 days post third dose risk 0
15–21 days post third dose risk 0
22–28 days post third dose risk 0
Booster Moderna Half dose booster BNT162b2 vaccine
1–14 days-pre booster clearance < 10 Inf (0, Inf) < 10 1.15 (0.24, 5.57)
0–7 days post booster risk < 10 Inf (0, Inf) < 10 0.87 (0.10, 7.60)
8–14 days post booster risk 0 < 10 1.04 (0.12, 9.12)
15–21 days post booster risk 0 < 10 1.00 (0.11, 8.77)
22–28 days post booster risk 0 0
Haemorrhage
Baseline 1927 1.00 913 1.00 Pre-infection 3999 1.00
Dose 1 1–14 days-pre first dose clearance 78 0.71 (0.57, 0.89)** 33 0.68 (0.48, 0.96)*
0–7 days post first dose risk 43 0.72 (0.53, 0.98)** 24 0.91 (0.61, 1.37)
8–14 days post first dose risk 44 0.86 (0.64, 1.16) 33 1.47 (1.04, 2.08)*
15–21 days post first dose risk 47 0.92 (0.69, 1.23) 17 0.75 (0.47, 1.22)
22–28 days post first dose risk 47 0.92 (0.69, 1.23) 21 0.93 (0.61, 1.44)
Dose 2 1–14 days-pre second dose clearance 64 0.61 (0.48, 0.79)* 29 0.63 (0.43, 0.91)**
0–7 days post second dose risk 57 1.01 (0.78, 1.32) 17 0.68 (0.42, 1.09)

0–28 days

post-infection

100 1.49 (1.15, 1.92)**
8–14 days post second dose risk 51 1.05 (0.80, 1.39) 22 1.02 (0.67, 1.57)
15–21 days post second dose risk 50 1.03 (0.78, 1.37) 17 0.79 (0.49, 1.28)
22–28 days post second dose risk 51 1.05 (0.80, 1.39) 29 1.35 (0.93, 1.96)
Dose 3 1–14 days-pre third dose clearance 0 < 10 0.84 (0.33, 2.18)
0–7 days post third dose risk 0 < 10
8–14 days post third dose risk 0 < 10 1.10 (0.33, 3.60)
15–21 days post third dose risk 0 < 10 1.82 (0.70, 4.69)
22–28 days post third dose risk 0 < 10 0.70 (0.17, 2.91)

29+days

post-infection

264 0.83 (0.68, 1.02)
Booster Moderna Half dose booster BNT162b2 vaccine
1–14 days-pre booster clearance < 10 3.24 (0.39, 27.21) 62 1.40 (1.07, 1.84)**
0–7 days post booster risk < 10 4.64 (0.54, 39.91) 30 1.13 (0.78, 1.65)
8–14 days post booster risk < 10 1.98 (0.18, 21.91) 22 0.96 (0.62, 1.48)
15–21 days post booster risk < 10 3.33 (0.34, 32.26) 22 0.95 (0.62, 1.47)
22–28 days post booster risk 0 21 0.91 (0.58, 1.42)
Venous thromboembolic (VTE)
Baseline 3608 1.00 1533 1.00 Pre-infection 6635 1.00
Dose 1 1–14 days-pre first dose clearance 151 0.78 (0.66, 0.91)** 54 0.66 (0.50, 0.87)**
0–7 days post first dose risk 82 0.78 (0.63, 0.98)** 32 0.72 (0.51, 1.02)
8–14 days post first dose risk 100 1.12 (0.91, 1.36) 39 1.03(0.75, 1.41)
15–21 days post first dose risk 94 1.05 (0.85, 1.29) 37 0.97 (0.70, 1.35)
22–28 days post first dose risk 71 0.79 (0.62, 1.00) 31 0.81 (0.57, 1.16)
Dose 2 1–14 days-pre second dose clearance 96 0.55 (0.46, 0.67)** 59 0.79 (0.61, 1.03)

0–28 days

post-infection

525 5.63(4.91, 6.46)**
0–7 days post second dose risk 89 0.94 (0.76, 1.16) 31 0.77 (0.54, 1.09)
8–14 days post second dose risk 95 1.17 (0.96, 1.44) 44 1.27 (0.94, 1.72)
15–21 days post second dose risk 70 0.86 (0.68, 1.09) 32 0.92 (0.65, 1.31)
22–28 days post second dose risk 58 0.71 (0.55, 0.93) 28 0.81 (0.56,1.17)
Dose 3 1–14 days-pre third dose clearance 0 < 10 0.59 (0.28, 1.23)
0–7 days post third dose risk 0 < 10
8–14 days post third dose risk 0 < 10 1.12 (0.51, 2.46)
15–21 days post third dose risk 0 < 10 0.62 (0.22, 1.70)

29+ days

post-infection

486 0.66 (0.57, 0.75)**
22–28 days post third dose risk 0 < 10 0.46 (0.14, 1.48)
Booster Moderna Half dose booster BNT162b2 vaccine
1–14 days-pre booster clearance 21 4.60 (1.35, 15.64)** 68 0.88 (0.68, 1.14)
0–7 days post booster risk 11 3.39 (0.94, 12.20) 31 0.70 (0.48, 1.01)*
8–14 days post booster risk 10 3.62 (0.99, 13.17)* 52 1.39 (1.04, 1.87)*
15–21 days post booster risk < 10 0.67 (0.11, 3.99) 35 0.92 (0.65, 1.30)
22–28 days post booster risk < 10 31 0.81 (0.56, 1.17)
Idiopathic thrombocytopenic purpura (ITP)
Baseline 116 1.00 78 1.00 Pre-infection 261 1.00
Dose 1 1–14 days-pre first dose clearance < 10 0.61 (0.22, 1.65) < 10 0.25 (0.03, 1.78)
0–7 days post first dose risk < 10 1.40 (0.57, 3.43) < 10 2.80 (1.21, 6.49)*
8–14 days post first dose risk < 10 1.31 (0.48, 3.56) < 10 0.53 (0.07, 3.84)
15–21 days post first dose risk < 10 0.98 (0.31, 3.08) < 10 0.53 (0.07, 3.83)
22–28 days post first dose risk < 10 0.97 (0.31, 3.07) < 10 1.63 (0.51, 5.18)
Dose 2 1–14 days-pre second dose clearance < 10 0.51 (0.16, 1.62) 0
0–7 days post second dose risk < 10 1.59 (0.64, 3.93) < 10 0.47 (0.07, 3.40)
8–14 days post second dose risk < 10 0.37 (0.05, 2.64) 0

0–28 days

post-infection

13 2.46 (1.14, 5.33)*
15–21 days post second dose risk < 10 0.73 (0.18, 2.98) 0
22–28 days post second dose risk < 10 1.76 (0.71, 4.36) < 10 1.10 (0.27, 4.50)
Dose 3 1–14 days-pre third dose clearance 0 < 10 0.33 (0.04, 2.84)
0–7 days post third dose risk 0 0
8–14 days post third dose risk 0 0
15–21 days post third dose risk 0 0

29+ days

post-infection

12 0.29 (0.13, 0.61)**
22–28 days post third dose risk 0 0
Booster Moderna Half dose booster BNT162b2 vaccine
1–14 days-pre booster clearance < 10 Inf (0, Inf) < 10 0.77 (0.21, 2.75)
0–7 days post booster risk 0 < 10 0.89 (0.20, 4.01)
8–14 days post booster risk 0 < 10 0.50 (0.06, 3.84)
15–21 days post booster risk < 10 Inf (0, Inf) < 10 1.04 (0.23, 4.69)
22–28 days post third dose risk 0 0
Arterial Thrombosis
Baseline 9501 1.00 3615 1.00 Pre-infection 17,648 1.00
Dose 1 1–14 days-pre first dose clearance 349 0.65 (0.58, 0.72)** 97 0.55 (0.45, 0.67)**
0–7 days post first dose risk 242 0.83 (0.73, 0.95)** 66 0.69 (0.54, 0.88)**
8–14 days post first dose risk 255 1.02 (0.90, 1.16) 55 0.67 (0.51, 0.87)**
15–21 days post first dose risk 249 1.00 (0.88, 1.14) 81 0.99 (0.79, 1.23)
22–28 days post first dose risk 247 0.99 (0.87, 1.13) 77 0.94 (0.75, 1.18)
Dose 2 1–14 days-pre second dose clearance 335 0.67 (0.60, 0.75) 132 0.78 (0.65, 0.93)**
0–7 days post second dose risk 224 0.83 (0.72, 0.94)** 77 0.83 (0.67, 1.05)
8–14 days post second dose risk 229 0.99 (0.87, 1.13) 87 1.10 (0.89, 1.36)

0–28 days

post-infection

718 2.46 (2.22, 2.71)**
15–21 days post second dose risk 250 1.08 (0.95, 1.22) 91 1.15 (0.94, 1.42)
22–28 days post second dose risk 264 1.14 (1.01, 1.29)* 81 1.02 (0.82, 1.28)
Dose 3 1–14 days-pre third dose clearance < 10 0.35 (0.05, 2.52) 11 0.68 (0.37, 1.27)
0–7 days post third dose risk 0 12 0.69 (0.36, 1.27)
8–14 days post third dose risk < 10 0.75 (0.10, 5.39) 10 1.31 (0.68, 2.51)
15–21 days post third dose risk 0 14 1.87 (1.07, 3.28)*
22–28 days post third dose risk 0 < 10 0.91 (0.42, 1.96)
Booster Moderna Half dose booster BNT162b2 vaccine

29+ days

post-infection

983 0.44 (0.40, 0.48)**
1–14 days-pre booster clearance 48 6.77 (2.67, 17.17)** 229 0.84 (0.73, 0.97)*
0–7 days post booster risk 27 5.21 (2.00, 13.56)** 148 0.96 (0.81, 1.14)
8–14 days post booster risk 15 3.14 (1.14, 8.64)* 176 1.34 (1.15, 1.58)**
15–21 days post booster risk 12 2.49 (0.88, 7.07) 128 0.96 (0.80, 1.16)
22–28 days post third dose risk < 10 125 0.94 (0.78, 1.14)
Ischaemic stroke
Baseline 2410 1.00 876 1.00 Pre-infection 3799 1.00
Dose 1 1–14 days-pre first dose clearance 78 0.56 (0.45, 0.71)** 16 0.36 (0.22, 0.59)**
0–7 days post first dose risk 56 0.75 (0.57, 0.97)* 18 0.75 (0.47, 1.2)
8–14 days post first dose risk 73 1.14 (0.9, 1.44) 13 0.63 (0.36, 1.09)
15–21 days post first dose risk 48 0.75 (0.56, 0.99)* 26 1.27 (0.86, 1.88)
22–28 days post first dose risk 64 1 (0.78, 1.28) 16 0.78 (0.48, 1.28)
Dose 2 1–14 days-pre second dose clearance 68 0.54 (0.43, 0.69)** 17 0.4 (0.25, 0.64)**
0–7 days post second dose risk 53 0.78 (0.59, 1.02) 20 0.86 (0.55, 1.35)
8–14 days post second dose risk 52 0.89 (0.68, 1.18) 23 1.16 (0.77, 1.76) 0–28 days post-infection 143 1.41 (1.15, 1.72)**
15–21 days post second dose risk 67 1.15 (0.9, 1.47) 28 1.41 (0.97, 2.06)
22–28 days post second dose risk 60 1.03 (0.8, 1.33) 25 1.26 (0.85, 1.88)
Dose 3 1–14 days-pre third dose clearance < 10 3.52 (0.73, 16.95) < 5 1.14 (0.36, 3.60)
0–7 days post third dose risk < 10 2.94 (0.59, 14.68) < 5
8–14 days post third dose risk < 10 2.15 (0.39, 11.75) < 5 1.09 (0.23, 5.04)
15–21 days post third dose risk < 10 1.05 (0.15, 7.46) < 5 0.95 (0.20, 4.44)
22–28 days post third dose risk < 10 < 5 0.48 (0.06, 3.79)

29+ days

post-infection

273 0.34 (0.29, 0.40)**
Booster Moderna Half dose booster BNT162b2 vaccine
1–14 days-pre booster clearance 0 44 0.75 (0.55, 1.04)
0–7 days post booster risk 0 38 1.15 (0.82, 1.62)
8–14 days post booster risk 0 24 0.83 (0.55, 1.27)
15–21 days post booster risk 0 30 1.05 (0.72, 1.54)
22–28 days post third dose risk 0 31 1.09 (0.75, 1.58)
Myocardial infarction
Baseline 1950 1.00 760 1.00 Pre-infection 3799 1.00
Dose 1 1–14 days-pre first dose clearance 69 0.63 (0.49, 0.8)** 16 0.4 (0.25, 0.66)**
0–7 days post first dose risk 38 0.63 (0.46, 0.87)** 25 1.18 (0.79, 1.75)
8–14 days post first dose risk 48 0.94 (0.7, 1.25) 18 0.98 (0.62, 1.57)
15–21 days post first dose risk 58 1.14 (0.87, 1.47) 17 0.93 (0.57, 1.51)
22–28 days post first dose risk 40 0.78 (0.57, 1.06) 17 0.93 (0.58, 1.51)
Dose 2 1–14 days-pre second dose clearance 57 0.57 (0.43, 0.74)** 13 0.35 (0.20, 0.60)**
0–7 days post second dose risk 48 0.88 (0.66, 1.17) 21 1.03 (0.67, 1.59)
8–14 days post second dose risk 50 1.07 (0.81, 1.41) 15 0.86 (0.51, 1.43)

0–28 days

post-infection

123 1.94 (1.54, 2.46)**
15–21 days post second dose risk 54 1.15 (0.88, 1.51) 20 1.14 (0.73, 1.79)
22–28 days post second dose risk 54 1.15 (0.88, 1.51) 22 1.26 (0.83, 1.93)
Dose 3 1–14 days-pre third dose clearance 0 < 5 0.25 (0.03, 2.02)
0–7 days post third dose risk 0 < 5 Inf (0, Inf)
8–14 days post third dose risk 0 0
15–21 days post third dose risk 0 0

29+ days

post-infection

180 0.38 (0.31, 0.47)**
22–28 days post third dose risk 0 < 5 2.08 (0.62, 6.97)
Booster Moderna Half dose booster BNT162b2 vaccine
1–14 days-pre booster clearance < 10 2.85 (0.56, 14.57) 31 0.62 (0.43, 0.91)**
0–7 days post booster risk 33 1.18 (0.82, 1.71)
8–14 days post booster risk < 10 2.21 (0.4, 12.14) 31 1.28 (0.88, 1.87)
15–21 days post booster risk < 10 0.5 (0.05, 5.58) 23 0.96 (0.62, 1.47)
22–28 days post third dose risk < 10 Inf (0, Inf) 23 0.95 (0.61, 1.46)

Haemorrhagic events

We observed a decreased risk of haemorrhagic events 0–7 days post first dose of ChAdOx1 (IRR 0.71 95% CI 0.57, 0.89). In the 8–14 days post first dose of BNT162b2, the risk was increased (IRR 1.47, 95% CI 1.04,2.08). There was no evidence of increased risk of haemorrhagic events post second dose of vaccines. We observed no evidence of change in risk of haemorrhagic events post booster dose of vaccines.

The risk of haemorrhagic events was elevated in 0–28 days post SARS-CoV-2 infection (IRR 1.49, 95% CI 1.15, 1.92). See Fig. 3 and Table 2.

Venous thromboembolic events (VTE)

We observed a decreased risk of VTE events 8–14 days (IRR 0.78, 95%CI 0.63, 0.98) post first dose of ChAdOx1. We found no evidence of change in risk of VTE events post BNT162b2. There was no evidence of increased risk of VTE events post second dose of vaccines. There was a suggestive increased risk, but imprecisely estimated due to low number of events in 8–15 days post booster dose of mRNA-1273 (IRR 3.62, 95% CI 0.99, 13.17) as well as a booster dose of BNT162b2 (IRR 1.39, 95% CI 1.04, 1.87).

The risk of VTE events was elevated in 0–28 days post SARS-CoV-2 infection (IRR 5.63, 95% CI 4.91, 6.46). See Fig. 3 and Table 2.

Idiopathic thrombocytopenic purpura (ITP)

We observed no evidence for increased risk of ITP events post first or second dose of ChAdOx1. The risk was elevated in 0–7 days post first dose of BNT162b2 vaccine (IRR 2.80, 95% CI 1.21, 6.49).

The risk of ITP events was elevated in 0–28 days post SARS-CoV-2 infection (IRR 2.46, 95% CI 1.14, 5.33) (Fig. 3 and Table 2).

Arterial thrombosis

We observed a decreased risk of arterial thrombosis events 0–7 days post first dose of ChAdOx1 (IRR 0.65 95% CI 0.58, 0.72) and 0–7 days post second dose of ChAdOx1(IRR 0.83, 95%CI 0.72, 0.94). Similarly, the risk post first dose of BNT162b2 was decreased in 0–7 days (IRR 0.69, 95% CI 0.54, 0.88) and in 8–14 days (IRR 0.67, 95% CI 0.51, 0.87). The risk of arterial thrombosis events was elevated in 0–28 days post SARS-CoV-2 infection (IRR 2.46, 95% CI 2.22, 2.71) (Fig. 3 and Table 2).

Secondary outcomes

Ischaemic stroke

We observed a decreased risk of ischaemic stroke events post first dose of ChAdOx1 in 0–7 days (IRR 0.75 95% CI 0.57, 0.97) and 15–21 days (IRR 0.75, 95%CI 0.56, 0.99). We found no evidence of change in the risk post first dose of BNT162b2 or booster. There was no evidence of increased risk of ischaemic stroke events post second dose of vaccines.

The risk of ischaemic stroke events was elevated in 0–28 days post SARS-CoV-2 infection (IRR 1.41, 95% CI 1.15, 1.72) (Fig. 3 and Table 2).

Myocardial infarction (MI)

We observed a decreased risk of MI events 0–7 days (IRR 0.63 95% CI 0.46, 0.87) post first dose of ChAdOx1. There were no evidence of change in the risk post second dose of ChAdOx1, first dose of BNT162b2 and booster.

The risk of MI events was elevated in 0–28 days post SARS-CoV-2 infection (IRR 1.94, 95% CI 1.54, 2.46) (Fig. 3 and Table 2).

Negative and positive controls outcome

We found no evidence of change in risk of a hip fracture (negative control) in risk periods post first and second dose of ChAdOx1 and BNT162b2 vaccination or booster (supplementary Table 5). Risk of anaphylaxis was increased in risk periods post both vaccinations: mainly in 0–7 days post first dose of ChAdOx1 (IRR 11.87, 95% CI 6.56–21.47) post first dose of BNT162b2 (IRR 33.30, 95% CI 14.08–78.76) and in 0–7 days post second dose of ChAdOx1 (IRR 3.23, 95% CI 1.15–9.04) post first dose of BNT162b2 (IRR 14.62, 95% CI 4.56–46.85) (Supplementary Table 5).

Sensitivity analyses

The first sensitivity analysis on (I) excluding those who died within 90 days of an event, showed a minimal change across all outcome groups with a slight increase of point estimates and confidence interval boundaries (Supplementary Table 6); (II) including only vaccinated cases, this gave practically identical results with slight change in confidence interval boundaries compared to our main analysis (Supplementary Table 7).

Discussion

In this study of 2.1 million individuals in Wales, analysing the risk of thrombocytopenic, haemorrhagic, thromboembolic events post COVID-19 vaccination and infection. We identified 36,136 individuals who have experienced the outcomes during the study period.

For our primary outcome events, post-first dose of ChAdOx1, we observed suggestive evidence for increased risk of ITP and arterial thrombosis although this aligns with other studies12,13 because of limited number of observed events in our population this risk is imprecisely estimated and should be treated with caution. The risk was decreased for haemorrhagic, VTE and arterial thrombosis events. In the periods post-first dose of BNT162b2, our observations showed increased risk of haemorrhagic and ITP events. Post-second dose of ChAdOx1 there was an increased risk of arterial thrombosis but not post-second dose of BNT162bb2. Post-booster, for both mRNA-1273and BNT162b2, we observed an increased risk of VTE and arterial thrombosis. Post SARS-CoV-2 infection the risk was increased for haemorrhagic, VTE and arterial thrombosis events.

For our secondary outcomes, post-first dose of ChAdOx1, we observed a decreased risk of MI and ischeamic stroke events in the immediate 0–7 days post vaccination intervals. Post SARS-CoV-2 infection the risk for both MI and ischaemic stroke were elevated. To our knowledge, this is one of the first studies on evidence of the adverse bleeding and clotting risks following first and second dose of ChAdOx1 or BNT162b2 vaccination and boosters including mRNA-1273. Various studies, including ones from Scotland, England and Denmark have reported associations of first vaccination dose with adverse bleeding and clotting events1214,28,29; however, none of the studies reported on risk post second dose and booster. Our results show that some risks persist post second and booster doses but there is considerable uncertainty due to the rarity of events. The analyses are strengthened by using a national linked data of the Welsh population which has considerable follow-up time of first, second and booster dose of vaccination. In addition, the study has high data completion and benefited from cross check on primary and secondary care dataset given the use of linkage across multiple routinely collected data sources. Our use of SCCS study design considering all vaccination dosage, showed robust findings for negative and positive controls for all risk groups.

Our study has several limitations including, limited power in accurately estimating the effect of thrombocytopenia and ITP due to the low number of events that are captured in this time period. We also use a sample that is smaller compared to other UK-wide studies. We analysed separately the risk post COVID-19 vaccination as primary exposure and post SARS-CoV-2 infection as secondary exposure; hence our ability in reporting the risk for the subset of cohort who might have experience both exposures in the same interval prior to their outcome is limited. Our ability in identification of cases and vaccination status is limited to what is recorded in routinely collected datasets, therefore, lags on recording the hospitalisation or transfer of records to general practice may have resulted in miss indentification of cases. Given the imprecision of some of our findings despite studying more than two million people we would like to see these analyses replicated in other countries and the data pooled in a meta-analysis. Although a number of risks were observed post-vaccination, the increase in risk post- SARS-CoV-2 infection appears to be of a greater magnitude and hence should not be a reason for delaying vaccination.

Conclusions

Our study is one of the first to examine the risk of all dosages of ChAdOx1 and BNT162b2 and booster on an array of serious bleeding and clotting events. We found that both COVID-19 vaccination and SARS-CoV-2 infection posed a measurable risk, while for VTE and haemorrhagic events there was a greater risk post infection compared to vaccination. We did not find evidence of an increased risk of thrombocytopenia post vaccination or infection. Both BNT162n2 and mRNA-1273 boosters, shown consistent evidence for an increased risk of VTE in 8–14 days post booster. We did not find evidence for an increased risk of thrombocytopenia and ITP, however this may be due to these being rare events. ChAdOx1 had greater associations for ischaemic stroke, whereas BNT162b2 had greater associations for myocardial infarction. These findings have important considerations for health professionals, policy-makers, practitioners and the public in terms of understanding rare but serious bleeding and clotting events following COVID-19 vaccination.

Supplementary Information

Acknowledgements

This work uses data provided by patients and collected by the NHS as part of their care and support. We would also like to acknowledge all data providers who make anonymised data available for research. We wish to acknowledge the collaborative partnership of DaCVaP consortium which led to this output. We also wish to acknowledge the collaboration that enabled acquisition and access to the data, led by the Swansea University Health Data Research UK team under the direction of the Welsh Government Technical Advisory Cell (TAC) and includes the following groups and organisations: the Secure Anonymised Information Linkage (SAIL) Databank, Administrative Data Research (ADR) Wales, NHS Wales Informatics Service (NWIS), Public Health Wales, NHS Shared Services Partnership and the Welsh Ambulance Service Trust (WAST). All research conducted has been completed under the permission and approval of the SAIL independent Information Governance Review Panel (IGRP) project number 0911.

Author contributions

The proposal and the main conceptual idea was developed by R.L., A.S. with the protocol being collaboratively developed and reviewed by F.T., A.A., S.B., E.L., R.O., C.R. F.T. contributed to all of the steps of the design, implementation, analysis and writing of the manuscript from inception. F.T. drafted the manuscript. A.A., S.B., E.L. and R.O. contributed substantially to design and writing up of the manuscript. All authors have reviewed the research at multiple stages of the development and discussed, reviewed and contributed to the final manuscript.

Funding

This work was supported by the Medical Research Council [MR/V028367/1]; Health Data Research UK [HDR-9006] which receives its funding from the UK Medical Research Council, Engineering and Physical Sciences Research Council, Economic and Social Research Council, Department of Health and Social Care (England), Chief Scientist Office of the Scottish Government Health and Social Care Directorates, Health and Social Care Research and Development Division (Welsh Government), Public Health Agency (Northern Ireland), British Heart Foundation (BHF) and the Wellcome Trust; and Administrative Data Research UK which is funded by the Economic and Social Research Council [grant ES/S007393/1]. This work was supported by the Wales COVID-19 Evidence Centre, funded by Health and Care Research Wales. This research is part of the Data and Connectivity National Core Study, led by Health Data Research UK in partnership with the Office for National Statistics and funded by UK Research and Innovation. We also acknowledge the support of the HDR UK BREATHE Hub, funded by the Industrial Strategy Challenge Fund through a grant via Health Data Research UK.

Data availability

The Statistical Analysis plan of this work is available at: https://github.com/HDRUK/DaCVaP/blob/main/Wales/SAP/Workplan%20-%20Vaccine%20Safety.pdf. We also made the code and data to reproduce figures available at: https://github.com/HDRUK/DaCVaP/tree/main/Wales. The main patient-level data sources used in this study are available in the SAIL Databank at Swansea University, Swansea, UK, but as restrictions apply, they are not publicly available. All proposals to use SAIL data are subject to review by an independent Information Governance Review Panel (IGRP). Before any data can be accessed, approval must be given by the IGRP. The IGRP gives careful consideration to each project to ensure proper and appropriate use of SAIL data. When access has been granted, it is gained through a privacy protecting safe haven and remote access system referred to as the SAIL Gateway. SAIL has established an application process to be followed by anyone who would like to access data via SAIL at https://www.saildatabank.com/application-process/.

Competing interests

AS is a member of the Scottish Government Chief Medical Officer's COVID-19 Advisory Group and the New and Emerging Respiratory Virus Threats Risk Stratification Subgroup and AstraZeneca's COVID-19 Thrombocytopenia Task Force; all roles are remunerated to AS or his institution. AS received funding from Medical Research Council and HDRUK during the course of this study and is a member of editorial board at BMC medicine. CRS. declares funding from the Medical Research Council, the National Institute for Health Research, the Chief Scientist Office and the New Zealand Ministry for Business, Innovation and Employment and Health Research Council during the conduct of this study. RKO is a member of the National Institute for Health and Care Excellence (NICE) Technology Appraisal Committee (TAC), and has served as a paid consultant to the pharmaceutical industry providing methodological, advice and support unrelated to this research. Other authors have declared no competing interest with this work.

Footnotes

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

These authors contributed equally: Aziz Sheikh and Ronan A Lyons.

Supplementary Information

The online version contains supplementary material available at 10.1038/s41598-022-20118-6.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Data Availability Statement

The Statistical Analysis plan of this work is available at: https://github.com/HDRUK/DaCVaP/blob/main/Wales/SAP/Workplan%20-%20Vaccine%20Safety.pdf. We also made the code and data to reproduce figures available at: https://github.com/HDRUK/DaCVaP/tree/main/Wales. The main patient-level data sources used in this study are available in the SAIL Databank at Swansea University, Swansea, UK, but as restrictions apply, they are not publicly available. All proposals to use SAIL data are subject to review by an independent Information Governance Review Panel (IGRP). Before any data can be accessed, approval must be given by the IGRP. The IGRP gives careful consideration to each project to ensure proper and appropriate use of SAIL data. When access has been granted, it is gained through a privacy protecting safe haven and remote access system referred to as the SAIL Gateway. SAIL has established an application process to be followed by anyone who would like to access data via SAIL at https://www.saildatabank.com/application-process/.


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