Next Article in Journal
mRNA Vaccine Designing Using Chikungunya Virus E Glycoprotein through Immunoinformatics-Guided Approaches
Previous Article in Journal
Assessment of Postvaccination Neutralizing Antibodies Response against SARS-CoV-2 in Cancer Patients under Treatment with Targeted Agents
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Vaccines
Volume 10
Issue 9
10.3390/vaccines10091475
vaccines-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Cutaneous Adverse Reactions to SARS-CoV-2 Vaccines: A Systematic Review and Meta-Analysis

by
Francesco Bellinato
*,†,
Zeno Fratton
†,
Giampiero Girolomoni
and
Paolo Gisondi
Section of Dermatology and Venereology, Department of Medicine, University of Verona, 37126 Verona, Italy
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Vaccines 2022, 10(9), 1475; https://doi.org/10.3390/vaccines10091475
Submission received: 5 August 2022 / Revised: 23 August 2022 / Accepted: 31 August 2022 / Published: 6 September 2022
Browse Figures
Versions Notes

Abstract

:
Background: An increasing number of cutaneous adverse reactions (CARs) to SARS-CoV-2 vaccines have been reported, but their incidence is debated. Objective: To estimate the pooled incidence of CARs to SARS-CoV-2 vaccines in the general adult population. Methods: A systematic review and meta-analysis of original articles published on MEDLINE via PubMed and Web Of Science from 1 January 2020 to 18 July 2022 was undertaken. Studies reporting the incidence proportion of CARs (defined as number of new cases of CARs on the total of vaccinated people) were included. All types of SARS-CoV-2 vaccine were included. People receiving at least one dose were considered eligible. Local cutaneous reactions were excluded. Results: A total of 970 records were identified and screened by title and abstract; 22 observational studies were included with aggregate data on 93,165 participants. The pooled incidence of overall CARs was 5% (95%CI 4–6%; I2 = 99%; p < 0.001), ranging from <0.01 to 19.00%. Most CARs were new onset dermatitis including rash, urticaria and vascular lesions; one case of Steven–Johnson syndrome and six cases of erythema multiforme were reported. In the sensitivity analysis we found that the incidence of CARs after the first and second dose was similar, i.e., 3% (95%CI 2–3%; I2 = 96%; p < 0.001) and 3% (95%CI 2–4%; I2 = 97%; p < 0.001), respectively. The magnitude of incidence of CARs remained unchanged independently of vaccine platform and in the general population versus healthcare workers. Conclusions: CARs associated with SARS-CoV-2 vaccines are frequent but mild and self-remitting, whereas severe CARs are rare.

1. Introduction

The development of safe and effective vaccines has been an overriding priority for controlling the 2019 coronavirus disease (COVID-19) pandemic. By December 2020, the United Kingdom and the Food and Drug Administration (FDA) immediately issued the emergency use authorization (EUA) for the Pfizer-BioNTech (BNT162b2) vaccine [1]. This was not only the first mRNA vaccine approved for human use but also the fastest formulated vaccine whose development was initiated just 11 months back (January 10, 2020), without long-term safety data [2]. Then, the FDA issued the EUA for another mRNA vaccine, i.e., ‘mRNA-1273’, also known as the ‘Moderna COVID-19 vaccine’. BNT162b2, mRNA-1273 and ChAdOx1 nCoV-19 by Astra Zeneca marketing authorization in Europe was issued some weeks later by the European Medical Agency [3]. Since then, several SARS-CoV-2 vaccines have been authorized and approved for distribution around the world, with many more in the pipeline [3]. As a massive SARS-CoV-2 vaccination campaign is underway, increasing reports of adverse events associated with the vaccines have emerged. Common side effects are mild and include dizziness, headache, pain, muscle spasms, myalgia and paresthesia. In rare cases, serious adverse events including thrombosis, stroke, neurological adverse events (i.e., Guillain Barrè Syndrome, transverse myelitis, and acute disseminated encephalomyelitis) and myocarditis have been reported [4]. An increasing number of cutaneous adverse reactions (CARs) associated with the SARS-CoV-2 vaccination has been also described, but their incidence remains debated. The objective of this study is to estimate the pooled incidence of CARs associated with SARS-CoV-2 vaccination in the general adult population.

2. Methods

2.1. Registration of the Protocol

The protocol of this systematic review and meta-analysis was registered in PROSPERO with the number CRD42021265351.

2.2. Search Strategy

This study was performed according to the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) and Meta-analysis Of Observational Studies in Epidemiology (MOOSE) guidelines [5,6]. We conducted an extensive search in MEDLINE via PubMed and Web of Science for original articles published from 1 January 2020 to 18 July 2022. No other additional sources were consulted. The search strategy included a combination of free text key terms (Supplementary Table S1). No restrictions in terms of sex, race, or geographic area were applied. MeSH terms were not used since this research topic is recent and new studies might not be indexed with MeSH terms at the time of writing. References of relevant original papers and review articles were also screened for other eligible studies not included in the database primary search.

2.3. Study Selection Criteria

Original articles reporting the incidence proportion of CARs (defined as number of new cases of CARs on the total of vaccinated people) in the general adult population and healthcare workers were included. All types of SARS-CoV-2 vaccine were considered (i.e., viral vector, mRNA, inactivated and protein-based). People receiving at least one dose were considered eligible. Local cutaneous reactions to vaccines were excluded. Articles in languages other than English, reviews, expert opinions, position statements, book chapters, posters, abstracts, meta-analysis, commentaries, and articles reporting pre-authorization studies were also excluded.

2.4. Data Extraction

After duplicate removal of the primary search results, the title and abstract of the retrieved articles were independently reviewed by two authors (FB and ZF). Then, selected articles underwent full-text evaluation for eligibility and data extraction. A more experienced researcher (PG) was consulted in case of discrepancy between authors. The following data were extracted, i.e., author, publication year, study design, study time frame, study population, vaccine type, CARs overall incidence, CARs incidence after the first and second dose, CARs incidence after both doses, CARs incidence per vaccine type and phenotype of CAR. Phenotypes of CARs were reported according to the diagnosis provided by the authors and were classified as new onset skin reactions or flares of pre-existing dermatoses [7]. The extracted data were collected and managed on a Microsoft Excel spreadsheet. No author was contacted in case of missing data.

2.5. Risk of Bias Assessment

Two authors (FB and ZF) independently assessed the risk of bias of the cross-sectional studies included in the quantitative analysis based on the Johanna Briggs Institute (JBI) critical appraisal checklist for studies reporting prevalence data [8,9]. The items included: (1) appropriateness of the sample frame, (2) appropriateness of population sampling, (3) adequateness of the sample size, (4) level of detail of study subjects’ description, (5) coverage bias, (6) validity of the outcome measurement instrument, (7) reliability of the outcome measurement, (8) appropriateness of the statistical analysis, (9) adequateness of the response rate. For each item one of the following assessments was given: yes, no, unclear, not applicable.

2.6. Statistical Analysis and Synthesis

Pooled incidence and 95% confidence intervals (95%CI) were used to summarize the weighted effect size for each study using the DerSimonian–Laid random-effects model. Confidence intervals were computed using the exact binomial method. Statistical heterogeneity was calculated using the I2-statistics, which provides an estimate of the percentage of variability across studies that is due to heterogeneity rather than chance alone. According to Higgins and Thompson, I2-values of approximately 25% represent low heterogeneity; approximately 50% represent medium heterogeneity; and approximately 75% represent high heterogeneity. To explore the possible sources of heterogeneity among the eligible studies we performed subgroup analyses stratifying the eligible studies by vaccine type, study country and study population. As a sensitivity analysis, the incidence of CARs after the first and second single doses were pooled when reported.
Funnel plots analysis was performed to detect publication bias [10]. For all statistical tests, a significance level of p < 0.05 was considered. We used Review Manager version 5.3 (Copenhagen: The Nordic Cochrane Centre, The Cochrane Collaboration, 2014) and STATA® software v16.1 (StataCorp, College Station, TX, USA) for all statistical analyses.

3. Results

3.1. Characteristics of the Included Articles

The PRISMA study flow chart describing the screening procedure of the articles included in the study is reported in Figure 1. A total of 1393 articles were retrieved by literature research. Of these, 423 duplicates were identified and removed. A total of 970 articles went through title and abstract screening. Of those, 909 were excluded because they did not meet the inclusion criteria. The remaining 61 articles were full-text screened. Among these, 39 studies were excluded based on the eligibility criteria (Supplementary Table S2). A total of 22 cross-sectional studies [11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32] (including 21 surveys and one registry-based study) with aggregate data on 93,165 individuals were included. The characteristics of each study selected are summarized in Table 1 and Supplementary Table S3.
Most of the studies were conducted in Asia and Europe. In 14 studies a female predominance was found, in 6 studies gender distribution was not reported. The vaccine platforms encompassed Pfizer-BioNTech, Moderna, Covishield-Astra Zeneca, Sinopharm, Sputnik, Bharat, Cuba-Pasteur and CoronaVac. Most studies considered RNA vaccines or included together reactions following different vaccine platforms. Nine out of 22 studies specified CARs incidence after the first and second doses. In 16 out of 22 studies the sample consisted of healthcare workers. Relevant limitations of some of these studies were the unstandardized method of identification of CARs, being often self-reported and captured through online surveys and/or questionnaires. CARs were often not exhaustively detailed and described generically as itchy skin rash or urticaria.

3.2. Incidence of Cutaneous Adverse Reactions

The pooled incidence of CARs was 5% (95%CI 4–6%; I2 = 99%; p < 0.001), ranging from <0.01% to 19.00% (Figure 2). Most CARs were new-onset skin reactions. In particular, exanthema generally described as an itchy rash (including morbilliform and pityriasis rosea-like eruption), and urticaria were the most commonly reported. Petechial rash was observed in 18 and cutaneous small vessel vasculitis in three patients, respectively. Other rarer CARs included lichenoid and eczematous lesions, and autoimmune bullous disorders (including bullous pemphigoid, pemphigus vulgaris and pemphigus foliaceus). Regarding severe CARs, Steven-Johnson syndrome and erythema multiforme were reported in one and three patients, respectively. Exacerbations of chronic cutaneous dermatoses such as psoriasis, and cutaneous lupus erythematosus were more rarely reported (Supplementary Table S3).
Subgroup analysis was performed based on vaccine type, study country and study population (i.e., general population vs. healthcare workers) to assess sources of heterogeneity (Supplementary Figures S3–S5). Stratifying by vaccine type the incidence of CARs ranged from 3% (95%CI 2–5%) to 5% (95%CI 3–7%) in studies evaluating only RNA vaccines and those including together different vaccine platforms, respectively. In a single study assessing reactions to the inactivated vaccine the incidence was 15% (95%CI 11–20%) [18]. Stratifying by study country, the incidence of CARs varied from 2% (95%CI 1–2%), to 5% (95%CI 4–5%), to 7% (95%CI 5–8%) in European, US and Asian studies, respectively. Pooled incidence from studies performed on healthcare workers showed almost no differences with respect to the general population, i.e., 4% (95%CI 3–5%) vs. 6% (95%CI 3–9%), respectively. In subgroup analyses, the high degree of heterogeneity remained essentially unchanged. The Funnel plot and Egger test revealed publication bias (p < 0.001) (Supplementary Figure S6).
A sensitivity analysis performed on the pooled incidence of CARs following the first and the second vaccine dose based on the data of nine studies that reported this data revealed that the incidence of CARs following the first and the second vaccine dose was very similar, 3% (95%CI 2–3%; I2 = 96%; p < 0.001) and 3% (95%CI 2–4%; I2 = 97%; p < 0.001), respectively (Figure 3A,B) [12,13,16,20,21,22,24,25,31].

3.3. Risk of Bias

Results of the risk of bias assessment are summarized in Supplementary Figures S1 and S2 and Supplementary Table S3. In most studies, the sample frame was not properly suitable to address the target population as not derived from registries or large cohorts. Diagnosis of CARs was generally self-reported and captured through online surveys and/or questionnaires. Most studies presented an uneven gender distribution, with a female predominance. Most studies did not report the sample size estimation. Most studies did not report information about individuals’ medical history. Some studies reported the presence of dropouts but did not provide any details about their characteristics. In almost all studies the statistical analysis was appropriate.

4. Discussion

The main finding of the study is that CARs to SARS-CoV-2 vaccines are frequent (>1/1.000–<1/100), with an overall pooled incidence of 5% (95%CI, 4–6%) [33]. Nonetheless, CARs are less common when compared to local skin reactions (i.e., pain, redness, and swelling at the vaccination site) and systemic adverse events (i.e., fever, fatigue, headache, chill, vomiting, diarrhea, nausea, and arthralgia). In a systematic review and meta-analysis by Sharif N et al., pain at the injection site was the most common local symptom in the mRNA and adenovirus vector vaccines, affecting up to 85% and 78% of the patients, respectively [34]. Fever, headache and fatigue were the most commonly reported systemic symptoms, affecting up to 95%, 68% and 55% of the patients [34]. Our finding is consistent with the recent systematic review and meta-analysis by Washrawirul C. et al. [35] who found an incidence of 5.9% (95%CI 3.8–8.8%) [35]. We also found that the incidence of CARs after each dose of vaccine is similar. This finding is also consistent with the finding of Washrawirul C. et al. which reported a pooled incidence of 4.2% after the first and 4.0% after the second dose [35]. In fact, recurrence after booster inoculation can occur in those patients who experienced a reaction after the first dose, but also CARs may develop among those with no CARs after the first dose [31]. Most CARs were new-onset skin reactions including rush and urticaria with a benign self-remitting clinical course, whereas severe CARs such as Steven–Johnson syndrome or erythema multiforme were more rarely reported. Similarly, exacerbations of chronic cutaneous dermatoses such as psoriasis, and cutaneous lupus erythematosus were more rarely reported.
Interestingly, we found a slightly higher incidence of CAR in Asian compared to European studies, for which we do not know how to give a precise reason other than to presume it is linked to more careful reporting. We did not find an increased incidence of CARs associated with any selected vaccine platform, but we acknowledge that multiple vaccine types were included in the same studies. Finally, the incidence of CARs among healthcare workers was similar to the general population. However, we acknowledge that 16 out of 22 studies included in the meta-analysis were conducted on healthcare workers. All studies had an uneven gender distribution, with most studies having higher percentages of females than males.
Besides vaccines for COVID-19, other anti-infective vaccinations have been studied and their CARs characterized. Some of them, such as hepatitis B and bacillus Calmette-Guerin vaccines, can be associated with CARs, even if more rarely when compared to COVID-19 [36]. Influenza, varicella, diphtheria/tetanus/pertussis, measles, poliomyelitis, rubella, pneumococcus, tick-borne encephalitis, smallpox, meningococcus and influenza vaccines are even less frequently encountered [36,37]. Different patho-mechanisms may be involved in the development of non-local CARs to vaccination, reflecting the wide heterogeneity of these reactions [37,38]. Particularly following COVID-19 vaccination these might include classical Th1 and Th2 polarized inflammatory reactions, innate immune system activation with Th17/Th22-polarization and macrophages/histiocytes and granulomatous reactions [35,39].
This review is burdened by some limitations. We found a high degree of heterogeneity between the included studies. This could be related to different follow-up times, population characteristics and interindividual variability in the CARs detection. In particular, the incidence of CARs was estimated mostly from surveys/questionnaires. Self-reporting confirmed by a dermatologist was therefore the main instrument used to measure the incidence of CARs. Some studies did not report dropouts following the first dose, and it cannot be excluded that some participants decided not to receive the second vaccine dose after they had developed an adverse reaction following the first one. Not every study reported data on medical history and history of COVID-19 infections among participants. We excluded the randomized controlled trials from the meta-analysis because such studies focused only on local CARs. Including studies assessing only local CARs might negatively underestimate the effect size and further increase heterogeneity. Moreover, findings from observational studies might better reproduce what can generally be seen in clinical practice. We did not investigate CARs incidence in selected patient subpopulations such as those receiving immunosuppressive drugs that may affect the risk of CARs. Of note, the registries mainly refer to younger patients; the elderly, whose vaccination was prioritized in certain countries, are underrepresented. An important caveat is the high risk of bias of the studies included in the meta-analysis, particularly in the validity and reliability of the outcome measurement. Our metanalysis did not include other studies that were indexed after we performed the research strategy, such as Freeman EE et al [40]. Finally, it was not possible to estimate the incidence of rarer and of more significant clinical importance cutaneous manifestations, which would mainly be extracted by analysis of case reports.
In conclusion, CARs associated with SARS-CoV-2 vaccines are frequent but mild and self-remitting, whereas severe CARs are rare. Additional studies conducted with rigorous methodology may provide more reliable estimates of the incidence of CARs in the general population and in specific subgroups of patients.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/vaccines10091475/s1, Supplementary Figure S1. Risk of bias graph for each eligible study assessed by Johanna Briggs Institute (JBI) critical appraisal checklist for studies reporting prevalence data. Supplementary Figure S2. Risk of bias summary of each items assessed by Johanna Briggs Institute (JBI) critical appraisal checklist for studies reporting prevalence data. Supplementary Figure S3. Forest plot and pooled estimates of the incidence of cutaneous adverse reaction to SARS-CoV-2 vaccines in 22 eligible studies stratified by vaccine platform. Supplementary Figure S4. Forest plot and pooled estimates of the incidence of cutaneous adverse reaction to SARS-CoV-2 vaccines in 22 eligible studies stratified by study population. Supplementary Figure S5. Forest plot and pooled estimates of the incidence cutaneous adverse reaction to SARS-CoV-2 vaccine in 22 eligible studies stratified by study country. Supplementary Figure S6. Funnel plot for eligible studies assessing the incidence of cutaneous adverse reaction to SARS-CoV-2 vaccine in 22 eligible studies. Egger test p < 0.001. Supplementary Table S1. Search Queries. Supplementary Table S2. Characteristics of excluded studies. Supplementary Table S3. outcome measures of included studies.

Author Contributions

Conceptualization, F.B. and P.G.; methodology, F.B. and Z.F.; software, F.B.; validation, F.B., Z.F., P.G. and G.G.; formal analysis, P.G.; investigation, Z.F.; resources, P.G.; data curation, P.G.; writing—original draft preparation, F.B. and Z.F.; writing—review and editing, F.B., Z.F., P.G. and G.G; visualization, G.G.; supervision, P.G. and G.G.; project administration, P.G.; funding acquisition, P.G. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Fondazione Cariplo, 2020-1363.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data available as Supplementary Tables.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Ledford, H.; Cyranoski, D.; Van Noorden, R. The UK has approved a COVID vaccine-here’s what scientists now want to know. Nature 2020, 588, 205–206. [Google Scholar] [CrossRef] [PubMed]
  2. Polack, F.P.; Thomas, S.J.; Kitchin, N.; Absalon, J.; Gurtman, A.; Lockhart, S.; Perez, J.L.; Pérez Marc, G.; Moreira, E.D.; Zerbini, C.; et al. Safety and efficacy of the BNT162b2 mRNA COVID-19 vaccine. N. Engl. J. Med. 2020, 383, 2603–2615. [Google Scholar] [CrossRef] [PubMed]
  3. Available online: https://www.ema.europa.eu/en/human-regulatory/overview/public-health-threats/coronavirus-disease-covid-19/treatments-vaccines/vaccines-covid-19/covid-19-vaccines-authorised (accessed on 1 August 2022).
  4. Mahroum, N.; Lavine, N.; Ohayon, A.; Seida, R.; Alwani, A.; Alrais, M.; Zoubi, M.; Bragazzi, N.L. COVID-19 Vaccination and the Rate of Immune and Autoimmune Adverse Events Following Immunization: Insights from a Narrative Literature Review. Front. Immunol. 2022, 13, 72683. [Google Scholar] [CrossRef] [PubMed]
  5. Moher, D.; Liberati, A.; Tetzlaff, J.; Altman, D.G.; PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Med. 2009, 6, e1000097. [Google Scholar] [CrossRef] [PubMed]
  6. Stroup, D.F.; Berlin, J.A.; Morton, S.C.; Olkin, I.; Williamson, G.D.; Rennie, D.; Moher, D.; Becker, B.J.; Sipe, T.A.; Thacker, S.B. Meta-analysis of observational studies in epidemiology: A proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group. JAMA 2000, 283, 2008–2012. [Google Scholar] [CrossRef]
  7. Bellinato, F.; Maurelli, M.; Gisondi, P.; Girolomoni, G. Cutaneous Adverse Reactions Associated with SARS-CoV-2 Vaccines. J. Clin. Med. 2021, 10, 5344. [Google Scholar] [CrossRef]
  8. Munn, Z.; Moola, S.; Lisy, K.; Riitano, D.; Tufanaru, C. Methodological guidance for systematic reviews of observational epidemiological studies reporting prevalence and cumulative incidence data. Int. J. Evid.-Based Healthc. Sept. 2015, 13, 147–153. [Google Scholar] [CrossRef]
  9. Available online: https://jbi.global/sites/default/files/2019-05/JBI_Critical_Appraisal-Checklist_for_Prevalence_Studies2017_0.pdf (accessed on 1 August 2022).
  10. Egger, M.; Davey Smith, G.; Schneider, M.; Minder, C. Bias in meta-analysis detected by a simple, graphical test. BMJ 1997, 315, 629–634. [Google Scholar] [CrossRef]
  11. Al Bahrani, S.; Albarrak, A.; Alghamdi, O.A.; Alghamdi, M.A.; Hakami, F.H.; Al Abaadi, A.K.; Alkhrashi, S.A.; Alghamdi, M.Y.; Almershad, M.M.; Alenazi, M.M.; et al. Safety and Reactogenicity of the ChAdOx1 (AZD1222) COVID-19 Vaccine in Saudi Arabia. Int. J. Infect. Dis. 2021, 110, 359–362. [Google Scholar] [CrossRef]
  12. Almohaya, A.M.; Qari, F.; Zubaidi, G.A.; Alnajim, N.; Moustafa, K.; Alshabi, M.M.; Alsubaie, F.M.; Almutairi, I.; Alwazna, Q.; Al-Tawfiq, J.A.; et al. Early solicited adverse events following the BNT162b2 mRNA vaccination, a population survey from Saudi Arabia. Prev. Med. Rep. 2021, 24, 101595. [Google Scholar] [CrossRef]
  13. Bawane, J.; Kataria, R.; Mohite, A.; Verma, K.; Shukla, U. Cutaneous adverse effects of the available COVID-19 vaccines in India: A questionnaire-based study. J. Eur. Acad. Dermatol. Venereol. 2022, 36, e619–e622. [Google Scholar] [CrossRef] [PubMed]
  14. Bostan, E.; Yel, B.; Karaduman, A. Cutaneous adverse events following 771 doses of the inactivated and mRNA COVID-19 vaccines: A survey study among health care providers. J. Cosmet. Dermatol. 2022. [Google Scholar] [CrossRef] [PubMed]
  15. Bukhari, A.E.; Almutlq, M.M.; Bin Dakhil, A.A.; Alhetheli, G.I.; Alfouzan, S.K.; Alqahtani, M.A.; Aljalfan, A.A.; Almutawa, M.A.; Alsubaie, F.S.; Madani, A.N. Cutaneous adverse reactions to coronavirus vaccines: A Saudi nationwide study. Dermatol. Ther. 2022, 35, e15452. [Google Scholar] [CrossRef]
  16. Cebeci Kahraman, F.; Savaş Erdoğan, S.; Aktaş, N.D.; Albayrak, H.; Türkmen, D.; Borlu, M.; Arıca, D.A.; Demirbaş, A.; Akbayrak, A.; Polat Ekinci, A.; et al. Cutaneous reactions after COVID-19 vaccination in Turkey: A multicenter study. J. Cosmet. Dermatol. 2022. [Google Scholar] [CrossRef]
  17. Das, P.; Arora, S.; Singh, G.K.; Bellad, P.; Rahman, R.; Bahuguna, A.; Sapra, D.; Shrivastav, R.; Gupta, A. A study of COVID-19 vaccine (Covishield) induced dermatological adverse effects from India. J. Eur. Acad. Dermatol. Venereol. 2022, 36, e402–e404. [Google Scholar] [CrossRef]
  18. Durmaz, K.; Aykut Temiz, S.; Metin, Z.; Dursun, R.; Abdelmaksoud, A. Allergic and cutaneous reactions following inactivated SARS-CoV-2 vaccine (CoronaVac®) in healthcare workers. Clin. Exp. Dermatol. 2022, 47, 171–173. [Google Scholar] [CrossRef]
  19. Farinazzo, E.; Ponis, G.; Zelin, E.; Errichetti, E.; Stinco, G.; Pinzani, C.; Gambelli, A.; De Manzini, N.; Toffoli, L.; Moret, A.; et al. Cutaneous adverse reactions after m-RNA COVID-19 vaccine: Early reports from Northeast Italy. J. Eur. Acad. Dermatol. Venereol. 2021, 35, e548–e551. [Google Scholar] [CrossRef]
  20. Grieco, T.; Maddalena, P.; Sernicola, A.; Muharremi, R.; Basili, S.; Alvaro, D.; Cangemi, R.; Rossi, A.; Pellacani, G. Cutaneous adverse reactions after COVID-19 vaccines in a cohort of 2740 Italian subjects: An observational study. Dermatol. Ther. 2021, 34, e15153. [Google Scholar] [CrossRef]
  21. Im, J.H.; Kim, E.; Lee, E.; Seo, Y.; Lee, Y.; Jang, Y.; Yu, S.; Maeng, Y.; Park, S.; Park, S.; et al. Adverse Events with the Pfizer-BioNTech COVID-19 Vaccine among Korean Healthcare Workers. Yonsei Med. J. 2021, 62, 1162–1168. [Google Scholar] [CrossRef]
  22. Kitagawa, H.; Kaiki, Y.; Sugiyama, A.; Nagashima, S.; Kurisu, A.; Nomura, T.; Omori, K.; Akita, T.; Shigemoto, N.; Tanaka, J.; et al. Adverse reactions to the BNT162b2 and mRNA-1273 mRNA COVID-19 vaccines in Japan. J. Infect. Chemother. 2022, 28, 576–581. [Google Scholar] [CrossRef]
  23. Klugar, M.; Riad, A.; Mekhemar, M.; Conrad, J.; Buchbender, M.; Howaldt, H.P.; Attia, S. Side Effects of mRNA-Based and Viral Vector-Based COVID-19 Vaccines among German Healthcare Workers. Biology 2021, 10, 752. [Google Scholar] [CrossRef]
  24. Lim, S.M.; Chan, H.C.; Santosa, A.; Quek, S.C.; Liu, E.H.C.; Somani, J. Safety and side effect profile of Pfizer-BioNTech COVID-19 vaccination among healthcare workers: A tertiary hospital experience in Singapore. Ann. Acad. Med. Singap. 2021, 50, 703–711. [Google Scholar] [CrossRef]
  25. Oulee, A.; Salem, S.; Yahia, R.; Yang, K.; Garcia, D.; Holmes, A.; Furukawa, B. Cutaneous reactions due to Pfizer’s BNT162b2 mRNA and Moderna’s mRNA-1273 vaccines. J. Eur. Acad. Dermatol Venereol. 2022, 36, e332–e334. [Google Scholar] [CrossRef]
  26. Pourani, M.R.; Shahidi Dadras, M.; Salari, M.; Diab, R.; Namazi, N.; Abdollahimajd, F. Cutaneous adverse events related to COVID-19 vaccines: A cross-sectional questionnaire-based study of 867 patients. Dermatol. Ther. 2022, 35, e15223. [Google Scholar] [CrossRef]
  27. Riad, A.; Pokorná, A.; Mekhemar, M.; Conrad, J.; Klugarová, J.; Koščík, M.; Klugar, M.; Attia, S. Safety of ChAdOx1 nCoV-19 Vaccine: Independent Evidence from Two EU States. Vaccines 2021, 9, 673. [Google Scholar] [CrossRef]
  28. Riad, A.; Hocková, B.; Kantorová, L.; Slávik, R.; Spurná, L.; Stebel, A.; Havriľak, M.; Klugar, M. Side Effects of mRNA-Based COVID-19 Vaccine: Nationwide Phase IV Study among Healthcare Workers in Slovakia. Pharmaceuticals 2021, 14, 873. [Google Scholar] [CrossRef]
  29. Riad, A.; Pokorná, A.; Klugarová, J.; Antalová, N.; Kantorová, L.; Koščík, M.; Klugar, M. Side Effects of mRNA-Based COVID-19 Vaccines among Young Adults (18-30 Years Old): An Independent Post-Marketing Study. Pharmaceuticals 2021, 14, 1049. [Google Scholar] [CrossRef]
  30. Riad, A.; Pokorná, A.; Attia, S.; Klugarová, J.; Koščík, M.; Klugar, M. Prevalence of COVID-19 Vaccine Side Effects among Healthcare Workers in the Czech Republic. J. Clin. Med. 2021, 10, 1428. [Google Scholar] [CrossRef]
  31. Robinson, L.B.; Fu, X.; Hashimoto, D.; Wickner, P.; Shenoy, E.S.; Landman, A.B.; Blumenthal, K.G. Incidence of Cutaneous Reactions After Messenger RNA COVID-19 Vaccines. JAMA Dermatol. 2021, 157, 1000–1002. [Google Scholar] [CrossRef]
  32. Ruiz-Villaverde, R.; Rivera-Izquierdo, M.; Gil-Villalba, A.; Pegalajar-García, M.D.; Pérez-Rojas, J.; Soler-Iborte, E.; Valero-Ubierna, M.C. Dermatological adverse reactions after vaccination with BNT162b2 in a cohort of healthcare workers. Int. J. Dermatol. 2022. [Google Scholar] [CrossRef]
  33. Available online: https://cioms.ch/publications/product/cioms-cumulative-pharmacovigilance-glossary/ (accessed on 1 August 2022).
  34. Sharif, N.; Alzahrani, K.J.; Ahmed, S.N.; Dey, S.K. Efficacy, Immunogenicity and Safety of COVID-19 Vaccines: A Systematic Review and Meta-Analysis. Front. Immunol. 2021, 12, 714170. [Google Scholar] [CrossRef] [PubMed]
  35. Washrawirul, C.; Triwatcharikorn, J.; Phannajit, J.; Ullman, M.; Susantitaphong, P.; Rerknimitr, P. Global prevalence and clinical manifestations of cutaneous adverse reactions following COVID-19 vaccination: A systematic review and meta-analysis. J. Eur. Acad. Dermatol. Venereol. 2022. [Google Scholar] [CrossRef] [PubMed]
  36. Bonetto, C.; Trotta, F.; Felicetti, P.; Alarcón, G.S.; Santuccio, C.; Bachtiar, N.S.; Pernus, Y.B.; Chandler, R.; Girolomoni, G.; Hadden, R.D.; et al. Vasculitis as an adverse event following immunization-Systematic literature review. Vaccine 2016, 34, 6641–6651. [Google Scholar] [CrossRef] [PubMed]
  37. Nikkels, A.F.; Nikkels-Tassoudji, N.; Piérard, G.E. Cutaneous adverse reactions following anti-infective vaccinations. Am. J. Clin. Dermatol. 2005, 6, 79–87. [Google Scholar] [CrossRef]
  38. Rosenblatt, A.E.; Stein, S.L. Cutaneous reactions to vaccinations. Clin. Dermatol. 2015, 33, 327–332. [Google Scholar] [CrossRef]
  39. Kounis, N.G.; Koniari, I.; de Gregorio, C.; Velissaris, D.; Petalas, K.; Brinia, A.; Assimakopoulos, S.F.; Gogos, C.; Kouni, S.N.; Kounis, G.N.; et al. Allergic reactions to current available COVID-19 vaccinations: Pathophysiology, causality, and therapeutic considerations. Vaccines 2021, 9, 211. [Google Scholar] [CrossRef]
  40. Freeman, E.E.; Sun, Q.; McMahon, D.E.; Singh, R.; Fathy, R.; Tyagi, A.; Blumenthal, K.; Hruza, G.J.; French, L.E.; Fox, L.P. Skin reactions to COVID-19 vaccines: An American Academy of Dermatology/International League of Dermatological Societies registry update on reaction location and COVID vaccine type. J. Am. Acad. Dermatol. 2022, 86, e165–e167. [Google Scholar] [CrossRef]
Vaccines 10 01475 g001 550
Figure 1. PRISMA Study Flow Chart describing the screening procedure of the articles included in the study.
Figure 1. PRISMA Study Flow Chart describing the screening procedure of the articles included in the study.
Vaccines 10 01475 g001
Vaccines 10 01475 g002 550
Figure 2. Forest plot and pooled estimates of the incidence of cutaneous adverse reaction to SARS-CoV-2 vaccines in 22 eligible studies.
Figure 2. Forest plot and pooled estimates of the incidence of cutaneous adverse reaction to SARS-CoV-2 vaccines in 22 eligible studies.
Vaccines 10 01475 g002
Vaccines 10 01475 g003 550
Figure 3. Forest plot and pooled estimates of the incidence of cutaneous adverse reaction to first (A) and second (B) dose of SARS-CoV-2 vaccines in 9 eligible studies.
Figure 3. Forest plot and pooled estimates of the incidence of cutaneous adverse reaction to first (A) and second (B) dose of SARS-CoV-2 vaccines in 9 eligible studies.
Vaccines 10 01475 g003
Table
Table 1. Characteristics of the studies included in the metanalysis.
Table 1. Characteristics of the studies included in the metanalysis.
First AuthorStudy PopulationSample SizeCountryAge, Mean (SD)Female (%)Time-FrameVaccine ProducerGeneral Incidence of CARs (%)
Al Bahrani et al.General population1592Saudi Arabia37.4 (9.6) 1910 April–20 May 2021Astra ZenecaNR
Almohaya et al.General population3639Saudi Arabia37.0 (28.0–48.0) * 63.329 May–8 June 2021Pfizer-BioNTech73/3639 (2.00%)
Bawane et al.Healthcare workers1029IndiaNRNR16 January–16 August 2021Covishield-Astra Zeneca, Covaxin30/1029 (2.92%)
Bostan et al.Healthcare workers234Turkey31.51 (9.25)67.1NRCoronaVac, Pfizer-BioNTech2/234 (0.85%)
Bukhari et al.General population1021Saudi ArabiaNR70.71 June–30 September 2021Astra Zeneca, Pfizer-BioNTech51/1021 (5.00%)
Cebeci Kahraman et al.General population2189Turkey50,4 (17.9)56.415 April–15 July 2021CoronaVac, Pfizer-BioNTech 175/2189 (7.99%)
Das et al.General population4063India36.7 (19–86) ^37September–November 2021Covishield-Astra Zeneca 50/4063 (1.23%)
Durmaz et al.Healthcare workers221TurkeyMale: 37.03 (13.83)Female: 38.56 (13.29) 50.2January–March 2021CoronaVacNR
Farinazzo et al.Healthcare workers19485ItalyNRNRJanuary 2021Pfizer-BioNTech28/19485 (0.14%)
Grieco et al.Healthcare workers2740ItalyNRNRJanuary–July 2021Moderna, Pfizer-BioNTech, Astra Zeneca50/2740 (1.82%)
Im et al.Healthcare workers2498South KoreaNRNRMarch–April 2021Pfizer-BioNTech93/2498 (3.72%)
Kitagawa et al. Healthcare workers12,109JapanNR§15–19 July and 19–22 August 2021Moderna, Pfizer-BioNTech648/12109 (5.35%)
Klugar et al.Healthcare workers599Germany39 *§§February–April 2021Moderna, Pfizer-BioNTech, Astra Zeneca21/599 (3.51%)
Lim et al.Healthcare workers1704SingaporeNRNRFebruary–April 2021Pfizer-BioNTech132/1704 (7.75%)
Oulee et al.Healthcare workers137USANR54.729 March–29 May 2021Moderna, Pfizer-BioNTech5/137 (3.64%)
Pourani et al.Healthcare workers761Iran28.08 (11.94) 70.3June–July 2021Astra Zeneca, Sinopharm, Sputnik, Bharat, Cuba-Pasteur, Pfizer-BioNTech, Moderna95/761 (12.48%)
Riad et al. 1Healthcare workers92Germany, Czech Republic35.37 (12.62)77.2February–March 2021Astra Zeneca4/92 (4.34%)
Riad et al. 2Healthcare workers522Slovakia37.77 (11.61) 77February–March 2021Moderna, Pfizer-BioNTech, Astra Zeneca18/522 (3.45%)
Riad et al. 3General Population539Czech Republic22.86 (2.05) 70.1April–June 2021Moderna, Pfizer-BioNTech4/539 (0.74%)
Riad et al. 4Healthcare workers877Czech Republic42.56 (10.5) 88.527 January–27 February 2021Pfizer-BioNTech45/877 (5.13%)
Robinson et al.Healthcare workers33039USANRNRDecember 2020–February 2021Moderna, Pfizer-BioNTech1541/33039 (4.66%)
Ruiz-Villaverde et al.Healthcare workers3969Spain46.4 (13.9)73.127 December 20–1 September 2021Pfizer-BioNTech 13/3969 (0.33%)
SD = Standard Deviation; NR = Not Reported; * Median (Interquartile range); ^ Age range; § BNT162b2 1st dose: 63.6, 2nd dose: 61.8; mRNA-1273 1st dose: 45.9, 2nd dose: 47.3; §§ mRNA vaccines: 73.6. Viral vector: 67.2.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Bellinato, F.; Fratton, Z.; Girolomoni, G.; Gisondi, P. Cutaneous Adverse Reactions to SARS-CoV-2 Vaccines: A Systematic Review and Meta-Analysis. Vaccines 2022, 10, 1475. https://doi.org/10.3390/vaccines10091475

AMA Style

Bellinato F, Fratton Z, Girolomoni G, Gisondi P. Cutaneous Adverse Reactions to SARS-CoV-2 Vaccines: A Systematic Review and Meta-Analysis. Vaccines. 2022; 10(9):1475. https://doi.org/10.3390/vaccines10091475

Chicago/Turabian Style

Bellinato, Francesco, Zeno Fratton, Giampiero Girolomoni, and Paolo Gisondi. 2022. "Cutaneous Adverse Reactions to SARS-CoV-2 Vaccines: A Systematic Review and Meta-Analysis" Vaccines 10, no. 9: 1475. https://doi.org/10.3390/vaccines10091475

APA Style

Bellinato, F., Fratton, Z., Girolomoni, G., & Gisondi, P. (2022). Cutaneous Adverse Reactions to SARS-CoV-2 Vaccines: A Systematic Review and Meta-Analysis. Vaccines, 10(9), 1475. https://doi.org/10.3390/vaccines10091475

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop