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Increased risk of myocarditis and pericarditis and reduced likelihood of severe clinical outcomes associated with COVID-19 vaccination: a cohort study in Lombardy, Italy

BMC Infectious Diseases volume 22, Article number: 844 (2022) Cite this article

Abstract

Introduction

We aimed to assess harms (post-vaccine myocarditis and pericarditis) and benefits (preventing severe disease) of COVID-19 vaccination.

Methods

We conducted a population-based retrospective cohort study. Using the integrated platform of the vaccination campaign of Lombardy Region (Italy), after the exclusion of 24,188 individuals not beneficiaries of the Regional Health Service, 9,184,146 citizens candidates to vaccine at December 27, 2020 were followed until November 30, 2021 (the loss to follow-up rate was 0.5%). From the date of administration of each vaccine dose to day 28 post-administration, three periods that covered exposure to the first, second, and third dose were defined. The benefit–risk profile of vaccines was performed by comparing the number needed to harm (NNH) and number needed to treat (NNT) by sex, age, and vaccine type.

Results

Incidence rates of myocarditis were 9.9 and 5.2 per million person-months during the exposure and no-exposure periods, respectively, and the incidence rates of pericarditis were 19.5 and 15.9 per million person-months, respectively. The risk of myocarditis was highest following exposure to the second dose of the Moderna vaccine (adjusted HR: 5.5, 95% CI: 3.7 to 8.1). Exposure to the Moderna vaccine was also associated with an increased risk of pericarditis (adjusted HR 2.2, 1.5 to 3.1). NNT was higher than NNH (9471 vs. 7213) for 16 to 19-year-old men who received the Moderna vaccine, while all other sex, age, and vaccine subgroups had a favourable harm-benefit profile.

Conclusions

Men 16 to 19 years of age has the highest rates of myocarditis within a few days after receiving the Moderna vaccines. The balance between harms and benefits was almost always in favour of vaccination.

Peer Review reports

Introduction

The scientific community and the pharmaceutical industry, backed by government support, have devoted massive efforts to the development of efficacious and safe vaccines against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) [1]. Four vaccines are currently approved for use against coronavirus disease 2019 (COVID-19) in the European Union: two mRNA-based vaccines (manufactured by Pfizer-BioNTech and Moderna) and two based on an adenovirus vector (manufactured by Oxford-AstraZeneca and Janssen) [2]. Phase 3 clinical trials showed that all four COVID-19 vaccines are efficacious and have an acceptable safety profile [3,4,5,6]. However, given the inherent limitations of clinical trials to assess vaccine safety as a result of healthier-than-average participants and low power to identify less common adverse events, post-marketing surveillance and real-life study are required to monitor vaccine safety in real-world settings [7]. This issue was of particular concern at the beginning of the vaccination campaign, when pharmacovigilance studies suggested that adenovirus-vectored vaccines could have been responsible of rare thromboembolic events [8, 9]. However, a population-based cohort study conducted in the same setting as compared to the current study, aimed to evaluate the balance between benefits and harms of citizens vaccinated with available adenovirus-vectored vaccines, found a favourable risk benefit profile [10].

Beginning with initial reports of myocarditis following mRNA vaccination [11], additional pharmacovigilance, health system surveillance, and case series studies have suggested an association between SARS-CoV-2 vaccination and development of both myocarditis and pericarditis [7, 12,13,14,15,16,17,18,19,20,21,22,23,24,25]. However, formal epidemiologic studies comparing observed and expected cases of myocarditis and other clinical outcomes like pericarditis, are sparse and inconsistent [26,27,28].

While myocarditis following COVID-19 vaccination is rare, it more frequently affects younger people. Since more severe disease rarely impacts this group, the vaccine is expected to provide more protection against serious disease in older than young people. This raises concern about the balance between vaccine benefits and harms. It should be emphasized that because the vaccine’s ability to prevent COVID-19 disease is expected to increase as SARS-CoV-2 spreads, the benefit-harm balance is likely to change over time. To the best of our knowledge, this issue, while critically important, has not yet been investigated.

This population-based retrospective cohort study used the platform specifically designed to monitor and assess vaccination in the Italian Lombardy Region [29] to compare harms associated with vaccine exposure, including myocarditis and pericarditis, with the benefits of vaccination, including the prevention of severe disease in particular subpopulations. Aside from estimating the relationship between vaccine exposure and the short-term risk of myocarditis and pericarditis, a detailed benefit–risk assessment was performed by comparing the Number Needed to Treat (NNT) with the Number Needed to Harm (NNH) under different conditions.

Methods

The Lombardy Vaccine Integrated Platform

Four data sources were used to develop the Lombardy Vaccine Integrated Platform. First, a vaccine registry was established by the Regional Health Authority beginning on December 27, 2020, to collect individual data on the date, type, and dose of the dispensed vaccine (the vaccine is administered for free to all candidate to vaccination). Second, a registry of patients with a confirmed diagnosis of SARS-CoV-2 infection was established on February 21, 2020 (the date of the first confirmed diagnosis) to monitor SARS-CoV-2 infections, hospital admissions, emergency room visits, and deaths due to COVID-19. Third, a healthcare utilization database that was established in 2000 to collect a variety of information, including inpatient diagnoses supplied by public or private hospitals, and outpatient drug and services supplied by RHS departments, was used to obtain data on the health profile of the study population. Finally, the health registry reports and updates data on patients' status of the Lombardy Regional Health Service (RHS), which includes almost all Lombardy residents, including date and cause of entry (birth, immigration) or exit (death, emigration) from the database. These databases use a unique individual identification code that allows to link each database with each other. To maintain privacy, each identification code is anonymized so that individuals can only be identified by the Regional Health Authority upon request from judicial authorities.

Cohort selection and covariates

Vaccine candidates (aged 12 years or older) who were not beneficiaries of the RHS or who became beneficiaries after January 1, 2019 (N = 24,188), were excluded from the study. The remaining 9,184,146 individuals were included in the study cohort and the date and type of vaccine administered from December 27, 2020 (index date) to November 30, 2021 (observation period) were recorded for each person. Sex, age, and clinical profile were recorded at the index date. Hospital admissions and drug prescriptions obtained within 2 years before the index date were used to investigate nine specific cardiovascular diseases. A complete list of these diseases, along with their accompanying ICD-9 and ATC codes, in addition to other conditions and exposures considered during this study, is provided in Additional file 1: Table S1.

Measuring vaccine harms

The time of observation for each cohort member was partitioned into four exposure categories to assess the risk of vaccine harm. From the date of administration of each vaccine dose to day 28 post-administration, three periods that covered exposure to the first, second, and third dose were defined. The periods that remained uncovered by vaccine exposure were defined as no exposure to the risk of vaccine harm. Hospital admissions associated with a diagnosis of myocarditis (ICD9-CM codes 422.xx and 429.0) or pericarditis (ICD9-CM codes 420.xx) that occurred during the observation period were identified and denoted as the vaccine harm outcome of interest.

Cohort members accumulated person-months of observation from December 27, 2020 until outcome onset, death, emigration out of the region, or November 30, 2021, whichever came first. The incidence rates of myocarditis and pericarditis were separately calculated as the ratio between the number of outcomes and the number of person-months occurred during the period of interest (exposure or no exposure to the risk of vaccine harm). Where relevant, rates were stratified by sex, age category, and vaccine dose and type.

Cox proportional hazard models were fitted for estimating the hazard ratio (HR) and 95% confidence interval (CI) of the defined outcomes, associated with exposure to the first, second, and third dose of each vaccine type, compared to no exposure. As vaccine exposure changed over time, assessment of its effect required consideration of this change. This was performed by fitting the Cox model with dummy factors for exposure categories that were expressed as time-dependent covariates. Adjustments were made for sex, age, and cardiovascular comorbidities.

Measuring vaccine benefits

The time of observation of each cohort member was partitioned into two categories of exposure to assess vaccine benefit. The first category included the period 14 days after the first vaccine dose until November 30, 2021, and was based on the assumption that clinically significant immunity is achieved 2 weeks after receiving the COVID-19 vaccine [30]. The second category included time-periods uncovered by vaccine exposure and was defined as no exposure to vaccine protection.

A composite outcome that included hospital admission, including patients in intensive care units, and deaths attributed to COVID-19, whichever occurred first, was tracked for each individual and denoted as the outcome of interest. Cohort members accumulated person-months of observation from December 27, 2020, until outcome onset, death, out of region emigration, or November 30, 2021, whichever came first. The incidence rates of severe COVID-19 disease were calculated as the ratio between the number of outcomes and the number of person-months occurred during the period of interest (exposure or no exposure to vaccine). Incidence rates were stratified by sex, age category, and vaccine type.

Balancing harms and benefits

Different metrics were used to compare the harms and benefits of vaccine exposure. In particular, the NNH was considered the number of individuals who would need to be vaccinated to generate a case of myocarditis, while the NNT was considered the number of individuals who should be vaccinated to avoid a case of severe COVID-19 disease [10]. Therefore, a desirable vaccination profile was defined as a low NNT and a high NNH [31]. NNT was calculated as the reciprocal of the absolute difference in incidence rates of myocarditis during the exposure and no exposure periods. NNH was calculated as the reciprocal of the absolute difference in incidence rates of severe COVID-19 diseases during the no exposure and the exposure periods. The corresponding 95% CI were calculated as the inverse of the CI around the absolute incidence rate difference [32]. As a secondary analysis, NNH and NNT were re-calculated by excluding cohort members who did not receive the vaccine during the entire observation period.

Results

Study cohort

Table 1 shows the selected baseline characteristics of the 9,184,146 vaccine recipients on December 27, 2020, and their vaccination status on November 30, 2021 (41,463 (0.5%) cohort members were lost to follow-up because they emigrated out of the Region). Men were 51.3% of the overall population. The percentage of individuals aged 12–15, 16–19, 20–29 and ≥ 30 were, respectively, 4.4%, 4.2%, 10.7% and 80.7%. Almost one in four recipients had a cardiac comorbidity. Globally, more than 16 million doses were administered over the 11-month period since the first vaccine was given. About 90% and 80% of recipients received one and two vaccine doses, respectively. More than half of individuals received the Pfizer-BioNTech vaccine, 12.5% received Oxford-AstraZeneca, 10% received Moderna, and even fewer individuals received Jansen. Just over 10% of recipients received the booster dose.

Table 1 Baseline characters of the 9,184,146 vaccine recipients on December 27, 2020 and vaccination status on November 30, 2021
Full size table

Harm-related outcomes

Of the cohort members, 587 and 1658 experienced myocarditis and pericarditis during the observation period, respectively. Of these patients, 12 and 28 died during their hospital stay, respectively. No individuals who experienced events during person-months of exposure to the risk of vaccine harm (i.e. 28 days after vaccine administration) died during hospitalization. The incidence rates of myocarditis and pericarditis were 5.8 and 16.2 per million person-months, respectively. The incidence of myocarditis was almost double during exposure to the risk of vaccine harm than no exposure, with a corresponding number of cases and incidence rate of 124 and 9.9 every million person-months, respectively, for exposed individuals and 463 and 5.2 per million person-months, respectively, for those with no exposure. The incidence of pericarditis was 1.2-fold higher during exposure than no exposure, with the corresponding number of cases and incidence rate of 245 and 19.5 per million person-months, respectively, for exposed individuals, and 1413 and 15.9 per million person-months, respectively, for those with no exposure.

Exposure to an adenovirus vector-based vaccine was not associated with an increased risk of myocarditis (Fig. 1, top panel). In contrast, exposure to the first and second doses of mRNA-based vaccines was associated with an increased risk of myocarditis, in particular after receipt of the second dose of Moderna (adjusted HR 5.5, 95% CI 3.7 to 8.1). There was no evidence that exposure to an adenovirus vector-based vaccine or the Pfizer-BioNTech mRNA vaccine was associated with an increased risk of pericarditis (Fig. 1, bottom panel). In contrast, exposure to the first and particularly the second dose of Moderna was associated with an increased risk of pericarditis, although with lower strength than that observed for myocarditis (adjusted HR 2.2, 95% CI 1.5 to 3.1).

Fig. 1
figure 1

Forest plot showing the association between exposure to the first, second, and third dose of vaccines manufactured by Oxford-AstraZeneca, Jansen, Moderna, and Pfizer-BioNTech and the risk of myocarditis (top panel) and pericarditis (bottom panel). Cox proportional hazard models were used for separately estimating the Hazard Ratio (HR) of myocarditis and pericarditis, together with the 95% confidence interval (CI), associated with time-dependent exposure to the vaccine. The model was adjusted for available demographic and clinical characteristics

Full size image

The timing of myocarditis and pericarditis presentation after vaccine administration is shown in Fig. 2. Myocarditis primarily occurred within a few days after receipt of the second dose of either Moderna or Pfizer-BioNTech (27 of 29 cases and 24 of 40 cases one week after receipt of the Moderna and Pfizer-BioNTech vaccine, respectively). Pericarditis also tended to occur within a few days after the second dose of Moderna (24 of 33 cases one week after vaccine receipt). In contrast, pericarditis that occurred following receipt of the Pfizer-BioNTech vaccine did not follow a temporal trend.

Fig. 2
figure 2

Timing of myocarditis and pericarditis hospitalization after receiving the first, second, and third dose of the Moderna and Pfizer-BioNTech vaccine

Full size image

Balancing harms and benefits

The highest rate of myocarditis occurred among men 16 to 19 years of age following exposure to the Moderna vaccine (Table 2). This group had a 9.5-fold higher incidence than men of the same age during time periods with no vaccine exposure. It should be emphasized that this subpopulation was the only one to have a higher NNT than NNH (9471 vs. 7213, respectively). All other subpopulations defined by sex, age category and vaccine type assessed in this study had a favourable harm-benefit profile with an NNH and NNT ratio ranging from 1.5 (men 12–15 years of age receiving Pfizer-BioNTech) to 962.5 (men > 30 years of age receiving Pfizer-BioNTech). These findings were confirmed after excluding 1,276,381 individuals from the study cohort who did not receive a vaccine during the entire observation period (Table 3).

Table 2 Harm-benefit profile of the Moderna and Pfizer-BioNTech vaccines by sex and age category
Full size table
Table 3 Harm-benefit profile of the Moderna and Pfizer-BioNTech vaccines by sex and age category
Full size table

Discussion

Main findings

Using the Vaccine Integrated Platform that covered the entire Lombardy population, a strong association was observed between exposure to mRNA-based vaccines and the risk of both myocarditis and pericarditis compared to periods of no exposure. The risk of myocarditis was particularly high after receipt of the second dose of the Moderna vaccine (adjusted HR 5.5, 95% CI: 3.7 to 8.1), lower after the first dose (adjusted HR 3.5, 95% CI: 2.1 to 6.1), and even less following the first and second doses of the Pfizer-BioNTech vaccine (adjusted HR 1.5, 95% CI: 1.1 to 2.2). Increased risk of pericarditis was noticed after receiving the first and second dose of Moderna (adjusted HR, and 95% CI, 1.6, 1.0 to 2.5, and 2.2, 1.5 to 3.1, respectively). These founding should be compared with risk of myocarditis and pericarditis following post-acute COVID-19, which, in a recent US cohort study, was shown to be 5.38-fold and 1.85-fold, respectively, as compared to controls [33]. Adenovirus vector-based vaccines did not increase the risk of myocarditis or pericarditis, and the Pfizer-BioNTech vaccine did not increase the risk of pericarditis. The study was underpowered to estimate the impact of booster doses on harmful outcomes.

The novel approach used in this study for evaluating the balance between harms and benefits of anti-COVID-19 vaccines was previously used in a similar setting, for evaluating a potential increased risk of thromboembolic events in individuals who received the adenovirus-vectored vaccines [10]. In the current study, an unfavourable balance between harms and benefits for men 16 to 19 years of age who received the Moderna vaccine was highlighted. In this subpopulation, NNT was higher than NNH with corresponding values of 9471 and 7213, respectively, considering the entire study cohort, and 10,317 and 6747, respectively, excluding those who did not receive the vaccine during the entire observation period. It should be emphasized, however, that for this “highest risk” category: (i) the incidence rate of myocarditis was only 1.5 new cases every 10,000 vaccinated individuals; (ii) 7213 citizens (6747 in the secondary analysis) should be vaccinated to generate a case of myocarditis; (iii) although the NNT was slightly higher (from 9471 in the primary analysis to 10,317 in the secondary analysis), suggesting an unfavourable balance between harm and benefit, we cannot disregard that harm and benefit outcomes had substantial difference in clinical profile, resolving the former in few days hospital stay without any fatal outcome, while avoiding severe outcomes, including severe acute respiratory syndrome, that sometimes may result in invasive intubation or death; (iv) the NNT for avoiding a case of SARS-CoV-2 infection was only 215 (data not shown), confirming the potential of a vaccine to prevent infection spread, even when there is a small risk of myocarditis. For all other combinations of sex, age and vaccine type, even lower rates and higher NNH, and a more favourable balance toward vaccine benefits was observed. Taken together, these findings suggest that the balance between harm and benefit is largely skewed towards vaccination, even in men 16 to 19 years of age, and vaccines, in particular those that are mRNA based, remain the primary method for fighting the pandemic. Careful monitoring of the harm-benefit profile, however, is strongly recommended. In fact, due to the expected reduction of viral spread, increasing NNT values are expected in the next few months, suggesting that the investigated balance may become less favourable.

As concern the underlying disease mechanism, myocarditis and pericarditis do not represent novel adverse events of vaccination. Previously, other vaccinations have been associated with an increased risk of myocarditis [34]. These findings suggest that the disease mechanism is specific neither for the newly developed mRNA vaccines, nor for the exposure to the SARS-CoV-2 spike protein. Although rare, clinicians should however be aware of the risk of myocarditis and pericarditis, which should be considered in individuals presenting with chest pain within a week after vaccination, in particular among younger individuals [35].

Comparison with other studies

Previous studies in Israel, Denmark, England, and United States have also shown higher myocarditis incidence after vaccination with the SARS-CoV-2 mRNA vaccine, indicating that this adverse effect is impacting diverse populations [7, 12, 14, 18, 19, 26,27,28]. In contrast to a recent study out of Denmark [27], but consistent with others, the current study confirmed (i) a higher risk of myocarditis after Pfizer-BioNTech vaccination, although less than that observed after Moderna, (ii) that the second dose of Moderna was associated with a higher risk of myocarditis than the first dose, and (iii) men were at higher risk of post-vaccine myocarditis than women. In contrast to a recent study out of England [28], the adenovirus vector-based vaccines, Oxford-AstraZeneca and Janssen, did not impact the risk of either myocarditis or pericarditis.

Strengths and limitations

In contrast with prior reports, this population-based study had the advantage of using prospectively collected information on vaccination and hospital admissions for an entire population, virtually eliminating recall and selection bias. Moreover, our study design compared periods of exposure and no exposure within the same subject, thus eliminating the variability between subjects that may arise when a group of exposed is compared to a control group of unexposed. However, this approach did not allow to evaluated the post-acute COVID-19 incidence of myocarditis and pericarditis. Finally, the use of registry data ensured a systematic evaluation of exposures, covariates, and outcomes. However, valid information on electrocardiography or cardiac imaging could not be obtained, so outcome misclassification could not be excluded. Moreover, information on myocarditis and pericarditis treatments were not available.

A potential bias in this observational study is that the decision to become vaccinated is an active personal choice, potentially confounding the association between vaccination and clinical outcomes [27]. Citizens who choose vaccination may be more health-conscious, leading to a healthcare-seeking bias that could overestimate the risk of myocarditis or pericarditis after vaccination if people with mild disease are more likely to be identified among vaccinated individuals [27]. In addition, the inability to compare those who chose to receive the vaccine and those who chose not to be vaccinated, may overestimate vaccine effectiveness and reduce the NNT value. However, the secondary analysis which excluded individuals who did not receive vaccination during the observation period, did not result in substantially different findings. Confounding may also be due to time-invariant characteristics, like socioeconomic status, that may differ between vaccinated and unvaccinated people. However, the Danish study showed that estimates generated from a self-controlled case series (SCCS) design, which took time-invariant characteristics into account, did not differ from those obtained from the usual cohort design, suggesting that unmeasured covariates were unlikely to impact the estimates. The secondary analysis conducted by the current study allowed for a comparison between exposure and no exposure periods within the vaccinated cohorts, avoiding the inclusion of unvaccinated individuals. The latter approach has some elements in common with the SCCS design but includes individuals who both experienced and did not experience the outcome, and observations were censored when the outcome occurred. This avoided the introduction of any biases resulting from the modification of the vaccine propensity due to the onset of myocarditis or pericarditis.

Conclusions

Myocarditis and pericarditis rates were higher during periods of vaccine exposure (i.e. 28 days after receipt of an mRNA vaccine) than those observed during periods of no exposure. Increased myocarditis rates were particularly high for men 16 to 19 years of age within a few days after receiving the Moderna vaccine, particularly after the second dose. The balance between harms (myocarditis or pericarditis resolving in few days of hospital stay without any fatal outcome) and benefits (the prevention of severe acute respiratory syndrome which may result in invasive intubation or death) was almost always in favour of vaccination.

Availability of data and materials

The data that support the findings of this study are available from Lombardy Region, but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the Lombardy Region upon reasonable request.

References

  1. Eroglu B, Nuwarda RF, Ramzan I, Kayser V. A narrative review of COVID-19 vaccines. Vaccines (Basel). 2021;10:62.

    Article  Google Scholar 

  2. Forman R, Shah S, Jeurissen P, Jit M, Mossialos E. COVID-19 vaccine challenges: What have we learned so far and what remains to be done? Health Policy. 2021;125:553–67.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Polack FP, Thomas SJ, Kitchin N, et al. Safety and efficacy of the BNT162b2 mRNA covid-19 vaccine. New Engl J Med. 2021;383:2603–15.

    Article  Google Scholar 

  4. Baden LR, El Sahly HM, Essink B, et al. Efficacy and safety of the mRNA-1273 SARS-CoV-2 vaccine. N Engl J Med. 2021;384:403–16.

    Article  CAS  PubMed  Google Scholar 

  5. Sadoff J, Gray G, Vandebosch A, et al. Safety and efficacy of single-dose Ad26.COV2.S vaccine against covid-19. N Engl J Med. 2021. https://doi.org/10.1056/NEJMoa2101544.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Voysey M, Clemens SAC, Madhi SA, et al. Safety and efficacy of the ChAdOx1 nCoV-19 vaccine (AZD1222) against SARS-CoV-2: an interim analysis of four randomised controlled trials in Brazil, South Africa, and the UK. The Lancet. 2021;397:99–111.

    Article  CAS  Google Scholar 

  7. Barda N, Dagan N, Ben-Shlomo Y, et al. Safety of the BNT162b2 mRNA Covid-19 vaccine in a nationwide setting. N Engl J Med. 2021;385:1078–90.

    Article  CAS  PubMed  Google Scholar 

  8. Mahase E. Covid-19: US suspends Johnson and Johnson vaccine rollout over blood clots. BMJ. 2021;373: n970.

    Article  PubMed  Google Scholar 

  9. Wise J. Covid-19: European countries suspend use of Oxford-AstraZeneca vaccine after reports of blood clots. BMJ. 2021;372: n699.

    Article  PubMed  Google Scholar 

  10. Corrao G, Rea F, Franchi M, et al. Balancing benefits and harms of COVID-19 vaccines: lessons from the ongoing mass vaccination campaign in Lombardy, Italy. Vaccines (Basel). 2022;10(4):623.

    Article  CAS  Google Scholar 

  11. Israel said probing link between Pfizer shot and heart problem in men under 30 | The Times of Israel. 2021; https://www.timesofisrael.com/israel-said-probing-link-between-pfizer-shot-and-heart-problem-in-men-under-30/2021. Accessed 20 Apr 2022.

  12. Shimabukuro T. COVID-19 Vaccine safety updates. Advisory Committee on Immunization Practices, 2021. https://www.cdc.gov/vaccines/acip/meetings/downloads/slides-2021-06/03-COVID-Shimabukuro-508.pdf. Accessed 20 Apr 2022.

  13. Marshall M, Ferguson ID, Lewis P, et al. Symptomatic acute myocarditis in 7 adolescents after Pfizer-BioNTech COVID-19 vaccination. Pediatrics. 2021;148: e2021052478.

    Article  PubMed  Google Scholar 

  14. Klein NP, Lewis N, Goddard K, et al. Surveillance for adverse events after COVID-19 mRNA vaccination. JAMA. 2021;326:1390–9.

    Article  CAS  PubMed  Google Scholar 

  15. Ammirati E, Cavalotti C, Milazzo A, et al. Temporal relation between second dose BNT162b2 mRNA Covid-19 vaccine and cardiac involvement in a patient with previous SARS-COV-2 infection. Int J Cardiol Heart Vasc. 2021;34: 100774.

    PubMed  PubMed Central  Google Scholar 

  16. Abu Mouch S, Roguin A, Hellou E, et al. Myocarditis following COVID-19 mRNA vaccination. Vaccine. 2021;39:3790–3.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Albert E, Aurigemma G, Saucedo J, Gerson DS. Myocarditis following COVID-19 vaccination. Radiol Case Rep. 2021;16:2142–5.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Mevorach D, Anis E, Cedar N, et al. Myocarditis after BNT162b2 mRNA vaccine against Covid-19 in Israel. N Engl J Med. 2021;385:2140–9.

    Article  CAS  PubMed  Google Scholar 

  19. Witberg G, Barda N, Hoss S, et al. Myocarditis after Covid-19 vaccination in a large health care organization. N Engl J Med. 2021;385:2132–9.

    Article  CAS  PubMed  Google Scholar 

  20. Simone A, Herald J, Chen A, Gulati N, Shen AY, Lewin B, Lee MS. Acute myocarditis following COVID-19 mRNA vaccination in adults aged 18 years or older. JAMA Intern Med. 2021;181:1668–70.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Truong DT, Dionne A, Muniz JC, et al. Clinically suspected myocarditis temporally related to COVID-19 vaccination in adolescents and young adults: suspected myocarditis after COVID-19 vaccination. Circulation. 2022;145:345–56.

    Article  CAS  PubMed  Google Scholar 

  22. Matta A, Kunadharaju R, Osman M, et al. Clinical presentation and outcomes of myocarditis post mRNA vaccination: a meta-analysis and systematic review. Cureus. 2021;13: e19240.

    PubMed  PubMed Central  Google Scholar 

  23. Istampoulouoglou I, Dimitriou G, Späni S, et al. Myocarditis and pericarditis in association with COVID-19 mRNA-vaccination: cases from a regional pharmacovigilance centre. Glob Cardiol Sci Pract. 2021;2021: e202118.

    PubMed  PubMed Central  Google Scholar 

  24. Rose J, McCullough PA. WITHDRAWN: a report on myocarditis adverse events in the U.S. vaccine adverse events reporting system (VAERS) in association with COVID-19 injectable biological products. Curr Probl Cardiol. 2021;30:101011.

    Article  Google Scholar 

  25. Nassar M, Nso N, Gonzalez C, et al. COVID-19 vaccine-induced myocarditis: case report with literature review. Diabetes Metab Syndr. 2021;15: 102205.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Patone M, Mei XW, Handunnetthi L, et al. Risks of myocarditis, pericarditis, and cardiac arrhythmias associated with COVID-19 vaccination or SARS-CoV-2 infection. Nat Med. 2021. https://doi.org/10.1038/s41591-021-01630-0.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Husby A, Hansen JV, Fosbøl E, et al. SARS-CoV-2 vaccination and myocarditis or myopericarditis: population based cohort study. BMJ. 2021;375: e068665.

    Article  PubMed  Google Scholar 

  28. Patone M, Mei XW, Handunnetthi L, et al. Risk of myocarditis following sequential COVID-19 vaccinations by age and sex. MedRxiv. 2021. https://doi.org/10.1101/2021.12.23.21268276.

    Article  Google Scholar 

  29. Corrao G, Bertolaso G, Pavesi G, Moratti L. Eight good reasons for careful monitoring and evaluation of the vaccine campaign against COVID-19: lessons learned through the lombardy experience for dealing with next challenges. Int J Environ Res Public Health. 2022;19:1073.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Dagan N, Barda N, Kepten E, et al. BNT162b2 mRNA Covid-19 vaccine in a nationwide mass vaccination setting. N Engl J Med. 2021;384:1412–23.

    Article  CAS  PubMed  Google Scholar 

  31. Suter K, Briel M, Günther J. Number needed to treat (NNT) und number needed to harm (NNH). Weitere Abkömmlinge der Vier-Felder-Tafel [The number needed to treat (NNT) and the number needed to harm (NNH)]. Med Monatsschr Pharm. 2015;38:103–6.

    PubMed  Google Scholar 

  32. Altman DG. Confidence intervals for the number needed to treat. BMJ. 1998;317:1309–12.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Xie Y, Xu E, Bowe B, Al-Aly Z. Long-term cardiovascular outcomes of COVID-19. Nat Med. 2022;28(3):583–90. https://doi.org/10.1038/s41591-022-01689-3.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Ling RR, Ramanathan K, Tan FL, et al. Myopericarditis following COVID-19 vaccination and non-COVID-19 vaccination: a systematic review and meta-analysis. Lancet Respir Med. 2022;10(7):679–88.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Bozkurt B, Kamat I, Hotez PJ. Myocarditis with COVID-19 mRNA vaccines. Circulation. 2021;144(6):471–84.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

We would like to thank Nicola Magrini (Director General of the Italian Medicines Agency, Rome, Italy) and Patrizia Popoli (President of the Technical Scientific Commettee, Rome, Italy) for their helpful comments on an early draft of this manuscript.

Funding

None.

Author information

Authors and Affiliations

  1. National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy

    Giovanni Corrao & Matteo Franchi

  2. Unit of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Via Bicocca degli Arcimboldi, 8, Edificio U7, 20126, Milan, Italy

    Giovanni Corrao & Matteo Franchi

  3. Directorate General for Health, Lombardy Region, Milan, Italy

    Giovanni Corrao, Danilo Cereda, Francesco Bortolan, Olivia Leoni & Giovanni Pavesi

  4. Welfare Councillor Staff, Lombardy Region, 20124, Milan, Italy

    Eugenio Vignati

  5. Infectious Diseases Unit, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy

    Andrea Gori

  6. Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy

    Andrea Gori

  7. Centre for Multidisciplinary Research in Health Science (MACH), University of Milan, Milan, Italy

    Andrea Gori

Authors
  1. Giovanni Corrao
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  2. Matteo Franchi
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  3. Danilo Cereda
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  4. Francesco Bortolan
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  5. Olivia Leoni
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  6. Eugenio Vignati
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  7. Giovanni Pavesi
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  8. Andrea Gori
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Contributions

GC led the study conceptualisation and the development of the research question, supported by DC, OL, EV and AG; FB and GP provided data; MF developed the statistical analysis plan and performed the analyses; GC supervised the analyses and wrote the draft of the paper; all authors contributed to the interpretation and discussion of the results, and critically revised the manuscript for intellectual content. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Matteo Franchi.

Ethics declarations

Ethics approval and consent to participate

According to Italian law, studies based entirely on registry data do not require approval from an ethics review board. All data were completely anonymized. All procedures were in accordance with the ethical standards of the institutional and national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Consent for publication

Not applicable.

Competing interests

Giovanni Corrao received research support from the European Community (EC), the Italian Agency of Drugs (AIFA) and the Italian Ministry for University and Research (MIUR). He took part in a variety of projects that were funded by pharmaceutical companies (i.e., Novartis, GSK, Roche, AMGEN and BMS). He also received honoraria as a member of the advisory board to Roche.

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Supplementary Information

Additional file 1: Table S1

. Codes used for identifying cardiovascular comorbidities.

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Corrao, G., Franchi, M., Cereda, D. et al. Increased risk of myocarditis and pericarditis and reduced likelihood of severe clinical outcomes associated with COVID-19 vaccination: a cohort study in Lombardy, Italy. BMC Infect Dis 22, 844 (2022). https://doi.org/10.1186/s12879-022-07823-3

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Keywords

BMC Infectious Diseases

ISSN: 1471-2334

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