| Literature DB >> 35906423 |
Oscar Hou In Chou1, Jonathan Mui1, Cheuk To Chung1, Danny Radford1,2,3, Simon Ranjithkumar4, Endurance Evbayekha1, Ronald Nam1,4, Levent Pay5, Danish Iltaf Satti1, Sebastian Garcia-Zamora6, George Bazoukis7, Göksel Çinier5, Sharen Lee1, Vassilios S Vassiliou8, Tong Liu9, Gary Tse10,11,12, Ian Chi Kei Wong13, Oscar Hou In Chou1, Tong Liu9, Gary Tse10,11,12.
Abstract
BACKGROUND: Coronavirus Disease-2019 (COVID-19) vaccination has been associated with the development of carditis, especially in children and adolescent males. However, the rates of these events in the global setting have not been explored in a systematic manner. The aim of this systematic review and meta-analysis is to investigate the rates of carditis in children and adolescents receiving COVID-19 vaccines.Entities:
Keywords: COVID-19; Carditis; Myocarditis; Pericarditis; Vaccine
Mesh:
Substances:
Year: 2022 PMID: 35906423 PMCID: PMC9361966 DOI: 10.1007/s00392-022-02070-7
Source DB: PubMed Journal: Clin Res Cardiol ISSN: 1861-0684 Impact factor: 6.138
Fig. 1The flowchart of the database search and study selection
Cohort/case–non case/case–control studies included (n = 12)
| Author (last name) | Year published | Study location (country) | Study design |
|---|---|---|---|
| Bozkurt | 2021 | United States (VAERS) | Vaccine reporting system |
| Chouchana | 2022 | Global (Vigibase) | Case–non-case study |
| Chua* | 2021 | Hong Kong, China | Cohort study |
| Foltran | 2021 | Global (Vigibase) | Vaccine reporting system |
| Hause | 2021 | United States | VAER report |
| Krug* | 2022 | United States | Vaccine reporting system |
| Li | 2022 | China | Case–control study |
| Truong* | 2021 | United States (VAERS) | Vaccine reporting system |
| Li * | 2021 | Hong Kong, China | Cohort study |
| Buchan* | 2021 | Canada | Cohort study |
| Mevorache* | 2021 | Israel | Cohort study |
| Nygaard | 2022 | Denmark | Cohort study and case series |
A total of 12 studies were included. Only the studies that provide the total number of doses were included in calculating the rate of myopericarditis per million dose of vaccine (marked with asterisks). Only the study with the largest sample size was selected amongst studies with overlapping data
Fig. 2The rate of carditis after COVID-19 vaccination with subgroup analysis. The overall rate of carditis amongst the paediatrics patients were calculated using the Poisson exact method. The rate of carditis were also categorised by sex, dosage and myocarditis/pericarditis
The pooled rate ratio of carditis after COVID-19 vaccination between male versus female and dose 2 versus dose
| Comparison | Pooled rate ratio (95% confidence interval) |
|---|---|
| Male vs female | 5.04 (1.40, 18.19) |
| Dose 2 vs dose 1 | 5.60 (1.97, 15.89) |
Comparing the rate of carditis after COVID-19 vaccination to the background rate and after COVID-19 infection by countries
| Vaccination | Background | COVID-19 infection | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Study | Location | Age group | Rate per million | Rate ratio | Age group | Rate per million | Rate ratio | Age group | Rate per million | Rate ratio |
| Overall | ||||||||||
| Buchan 2021 [ | Ontario, Canada | 12–17 | 38.17 (28.76, 38.17) | 1 | 16–19 | 2.570 (2.071, 3.145) [ | 0.0673 (0.0193, 0.2351) | – | – | – |
| Chua 2021[ | Hong Kong, China | 12–17 | 57.30 (39.91, 79.69) | 1 | 12–17 | 2.3 (0.275, 16.08) [ | 0.0401 (0.0021, 0.7359) | – | – | – |
| Oster 2022b[ | United States | 12–17 | 53.89 (49.27, 58.95) | 1 | 15–18a | 0.2877 (0.28, 0.2953) [ | 0.0053 (0.0041, 0.0070) | 12–17 | 44.34 (22.56, 93.66) [ | 0.8228 (0.2770, 2.444) |
| Mevorach 2021b [ | Israel | 16–19 | 10.25 (7.176, 14.19) | 1 | – | – | – | 16–19 | 14.15 (3.855, 38.23) [ | 1.381 (0.4915, 3.880) |
| Dose 1 | ||||||||||
| Buchan 2021 [ | Ontario, Canada | 12–17 | 24.70 (14.87, 38.57) | 1 | 16–19 | 2.570 (2.071, 3.145) [ | 0.1041 (0.0283, 0.3828) | – | – | – |
| Chua 2021[ | Hong Kong, China | 12–17 | 16.85 (6.183, 36.76) | 1 | 12–17 | 2.3 (0.275, 16.08) [ | 0.1365 (0.0068, 2.737) | – | – | – |
| Oster 2022b[ | United States | 12–17 | 5.85 (4.41, 7.76) | 1 | 15–18a | 0.2877 (0.28, 0.2953) [ | 0.0492 (0.0219, 0.1107) | 12–17 | 44.34 (22.56, 93.66) [ | 7.579 (2.003, 28.68) |
| Dose 2 | ||||||||||
| Buchan 2021 [ | Ontario, Canada | 12–17 | 53.60 (37.54, 74.20) | 1 | 16–19 | 2.570 (2.071, 3.145) [ | 0.0479 (0.0135, 0.1700) | – | – | – |
| Chua 2021[ | Hong Kong, China | 12–17 | 106.1 (71.06, 153.4) | 1 | 12–17 | 2.3 (0.275, 16.08) [ | 0.0217 (0.0012, 0.3990) | – | – | – |
| Oster 2022b[ | United States | 12–17 | 69.06 (62.83, 75.90) | 1 | 15–18a | 0.2877 (0.28, 0.2953) [ | 0.0042 (0.0033, 0.0053) | 12–17 | 44.34 (22.56, 93.66) [ | 0.6421 (0.2177, 1.893) |
| Male | ||||||||||
| Buchan 2021[ | Ontario, Canada | 12–17 | 54.74 (39.11, 74.54) | 1 | 16–19 | 2.570 (2.071, 3.145) [ | 0.0470 (0.0133, 0.1657) | – | – | – |
| Chua 2021[ | Hong Kong, China | 12–17 | 94.18 (63.07, 135.3) | 1 | 12–17 | 2.3 (0.275, 16.08) [ | (0.0244 (0.0013, 0.4494) | – | – | – |
| Oster 2022b[ | United States | 12–17 | 66.54 (60.57, 73.11) | 1 | 15–18a | 0.2877 (0.28, 0.2953) [ | 0.0043 (0.0034, 0.0055) | 12–17 | 44.34 (22.56, 93.66) [ | 0.6663 (0.2257, 1.967) |
| Female | ||||||||||
| Buchan 2021[ | Ontario, Canada | 12–17 | 21.12 (11.82, 34.84) | 1 | 16–19 | 2.570 (2.071, 3.145) [ | 0.1216 (0.0150, 0.2797) | – | – | – |
| Chua 2021[ | Hong Kong, China | 12–17 | 19.81 (7.269, 43.11) | 1 | 12–17 | 2.3 (0.275, 16.08) [ | 0.1151 (0.0058, 2.328) | – | – | – |
| Oster 2022b[ | United States | 12–17 | 6.71 (4.99, 9.02) | 1 | 15–18a | 0.2877 (0.28, 0.2953) [ | 0.0429 (0.0201, 0.0915) | 12–17 | 44.34 (22.56, 93.66) [ | 6.608 (1.803, 24.21) |
aThe background rate of the United States contains myocarditis only
bThe rate in Mevorach et al. and Oster et al. contains myocarditis only
Case studies/series included (n = 27)
| Author (last name) | Year published | Study location (Country) | Study design | Total number of myopericarditis |
|---|---|---|---|---|
| Ambati | 2021 | United States | Case series | 2 |
| Azir | 2021 | United States | Case report | 1 |
| Buchhorn | 2021 | Germany | Case report | 1 |
| Chelala | 2022 | United States | Case series | 5 |
| Das | 2021 | United States | Case series | 25 |
| Di | 2022 | Italy | Case series | 1 |
| Dionne | 2021 | United States | Case series | 15 |
| Giray | 2022 | Turkey | Case report | 1 |
| Manfredi | 2022 | Italy | Case series | 6 |
| Marshall | 2021 | United States | Case series | 7 |
| McLean | 2021 | United States | Case study | 1 |
| Minocha | 2021 | United States | Case study | 1 |
| Poussaint | 2021 | United States | Case report | 1 |
| Snapiri | 2021 | Israel | Case series | 7 |
| Tano | 2021 | United States | Case series | 8 |
| Truong | 2022 | Canada, United States | Case report | 140 |
| Türe | 2022 | Turkey | Case report | 1 |
| Visclosky | 2021 | United States | Case report | 1 |
| Jain | 2021 | United States | Case series | 31 |
| Starekova | 2021 | United States | Case series | 2 |
| Abu Mouch | 2021 | Israel | Case series | 2 |
| Fleming-nouri | 2021 | United States | Case series | 3 |
| Park | 2021 | United States | Case series | 2 |
| Shaw | 2021 | United States | Case series | 2 |
| Patel | 2021 | United States | Case series | 9 |
| Schauer | 2021 | United States | Case series | 13 |
| Nygaard | 2022 | Denmark | Cohort study and case series | 13 |
The clinical characteristics of the patients ≤ 19 years old suffering from carditis after COVID-19 vaccination
| Patient characteristics ( | Mean/number | Standard deivation/% |
|---|---|---|
| Patient demographics | ||
| Age (year) | 15.90 | 1.52 |
| Male | 281 | 93.36% |
| Clinical diagnosis | ||
| Total carditis | 301 | 100.00% |
| Total myocarditis | 240 | 79.73% |
| Total pericarditis | 5 | 1.66% |
| Unclassified | 56 | 18.60% |
| Subgroup | ||
| Carditis after first dose | 38 | 12.62% |
| Carditis after second dose | 263 | 87.38% |
| Pericarditis after first dose | 3 | 60.00% |
| Pericarditis after second dose | 2 | 40.00% |
| Myocarditis after first dose | 30 | 12.50% |
| Myocarditis after second dose | 210 | 87.50% |
| Proportion of vaccine types | ||
| BNT162b2 | 339 | 79.39% |
| mRNA-1273 | 85 | 19.91% |
| Ad26.COV2.S | 1 | 0.23% |
| Unknown | 2 | 0.47% |
| Admission | ||
| Length of stay (days) | 3.905 | 1.75 |
| Intensive care unit | 53 | 20.31 |
| Resolution | 298 | 99.00% |
| Clinical manifestation | ||
| Chest pain | 293 | 97.34% |
| Fever | 113 | 37.54% |
| Shortness of breath | 64 | 21.26% |
| Myalgia | 51 | 16.94% |
| Headache | 47 | 15.61% |
| Nausea and vomiting | 31 | 10.30% |
| Palpitations | 8 | 2.66% |
| Laboratory results | ||
| Troponin (ng/mL) | 924.32 | 2017.01 |
| Median (Q1 to Q3) | 9.62 (5.40–828.09) | – |
| Min; max | 0.03; 7368.45 | – |
| C-reactive protein level (mg/mL) | 25.89 | 44.31 |
| Median (Q1–Q3) | 7.58 (4.06–24.70) | |
| Min; max | 0.57; 174 | |
| Treatment | ||
| Treatment received | 261 | 86.71% |
| NSAIDs | 226 | 86.59% |
| Steroids | 50 | 19.16% |
| Intravenous immunoglobulins | 57 | 21.84% |
| Angiotensin-converting enzyme (ACE) inhibitors | 2 | 0.77% |
| Colchicine | 24 | 9.20% |
Fig. 3The characteristics of the carditis patients after COVID-19 vaccination. A The proportion of different types of a vaccine in the case reports/series. B The diagnosis and timing of carditis in the case reports/series. C The median and interquartile range of Troponin and C-reactive protein in the case reports/series