Sex Differences in Adverse Reactions to an Inactivated SARS-CoV-2 Vaccine Among Medical Staff in China

Zhu, Jiansheng; Zhang, Meixian; Chien, Ching‐Wen; Yang, Weiying; Shi, Guifeng; Qiu, Shulin; Tung, Tao‐Hsin; Chen, Haixiao

doi:10.3389/fmed.2021.731593

Cited by 14 publications

(9 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This is not surprising, since it was well-known, even before the COVID-19 pandemic, that biological sex differences could influence the vaccine uptake, responses, and outcome [ 89 ]. Recent studies showed that the side effects of the Pfizer-BioNTech [ 87 , 90 , 91 ], AstraZeneca [ 90 , 91 , 92 ], Sinopharm [ 12 ], Sputnik V [ 11 ], SinoVac [ 91 , 93 ], Johnson & Johnson and Moderna [ 90 ] vaccines were significantly more frequent in females. With a view to reducing post-vaccination side effects in females and increasing immunogenicity in males, Ciarambino et al [ 94 ] recommended that the vaccine development should be sex-specific, and that sex-related variables should be examined in pre-clinical and clinical vaccine trials.…”

Section: Discussionmentioning

confidence: 99%

Reported Adverse Effects and Attitudes among Arab Populations Following COVID-19 Vaccination: A Large-Scale Multinational Study Implementing Machine Learning Tools in Predicting Post-Vaccination Adverse Effects Based on Predisposing Factors

et al. 2022

View full text Add to dashboard Cite

Background: The unprecedented global spread of coronavirus disease 2019 (COVID-19) has imposed huge challenges on the healthcare facilities, and impacted every aspect of life. This has led to the development of several vaccines against COVID-19 within one year. This study aimed to assess the attitudes and the side effects among Arab communities after receiving a COVID-19 vaccine and use of machine learning (ML) tools to predict post-vaccination side effects based on predisposing factors. Methods: An online-based multinational survey was carried out via social media platforms from June 14 to 31 August 2021, targeting individuals who received at least one dose of a COVID-19 vaccine from 22 Arab countries. Descriptive statistics, correlation, and chi-square tests were used to analyze the data. Moreover, extensive ML tools were utilized to predict 30 post vaccination adverse effects and their severity based on 15 predisposing factors. The importance of distinct predisposing factors in predicting particular side effects was determined using global feature importance employing gradient boost as AutoML. Results: A total of 10,064 participants from 19 Arab countries were included in this study. Around 56% were female and 59% were aged from 20 to 39 years old. A high rate of vaccine hesitancy (51%) was reported among participants. Almost 88% of the participants were vaccinated with one of three COVID-19 vaccines, including Pfizer-BioNTech (52.8%), AstraZeneca (20.7%), and Sinopharm (14.2%). About 72% of participants experienced post-vaccination side effects. This study reports statistically significant associations (p < 0.01) between various predisposing factors and post-vaccinations side effects. In terms of predicting post-vaccination side effects, gradient boost, random forest, and XGBoost outperformed other ML methods. The most important predisposing factors for predicting certain side effects (i.e., tiredness, fever, headache, injection site pain and swelling, myalgia, and sleepiness and laziness) were revealed to be the number of doses, gender, type of vaccine, age, and hesitancy to receive a COVID-19 vaccine. Conclusions: The reported side effects following COVID-19 vaccination among Arab populations are usually non-life-threatening; flu-like symptoms and injection site pain. Certain predisposing factors have greater weight and importance as input data in predicting post-vaccination side effects. Based on the most significant input data, ML can also be used to predict these side effects; people with certain predicted side effects may require additional medical attention, or possibly hospitalization.

show abstract

Section: Discussionmentioning

confidence: 99%

Reported Adverse Effects and Attitudes among Arab Populations Following COVID-19 Vaccination: A Large-Scale Multinational Study Implementing Machine Learning Tools in Predicting Post-Vaccination Adverse Effects Based on Predisposing Factors

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Moreover, Chinese men have higher prevalence of obesity than women, 65,66 which has been reported to lead to decreased pain sensitivity 67,68 . To date, sex has not yet emerged as a biological variable evident in the disaggregation of data and analyses in most studies on COVID‐19 vaccines, with only limited studies reporting adverse events by it 44,69,70 . Previous study revealed whole‐virus trivalent inactivated influenza vaccine could induce higher levels of IgM as well as H1N1‐specific IgG1 responses in female mice compared to male mice 71 .…”

Section: Discussionmentioning

confidence: 99%

“…has not yet emerged as a biological variable evident in the vaccines, with only limited studies reporting adverse events by it. 44,69,70 Previous study revealed whole-virus trivalent inactivated influenza vaccine could induce higher levels of IgM as well as H1N1-specific IgG1 responses in female mice compared to male mice. 71 More interestingly, antibody responses among women given a half dose of trivalent inactivated vaccine were similar to or greater in magnitude when compared with responses among men given a full dose.…”

Section: Discussionmentioning

confidence: 99%

Effects of inactivated SARS‐CoV‐2 vaccination on male fertility: A retrospective cohort study

Dong

et al. 2022

Journal of Medical Virology

View full text Add to dashboard Cite

Numerous studies have revealed severe damage to male fertility from severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) infection, raising concerns about the potential adverse impact on reproductive function of the coronavirus disease 2019 (COVID‐19) vaccine developed based on the virus. Interestingly, there are several researchers who have studied the impact of the COVID‐19 mRNA vaccine since then but have come up with conflicting results. As a near‐ideal candidate for mass immunization programs, inactivated SARS‐CoV‐2 vaccine has been widely used in many countries, particularly in less wealthy nations. However, little is known about its effect on male fertility. Here, we conducted a retrospective cohort study at a single large center for reproductive medicine in China between December 2021 and August 2022. Five hundred and nineteen fertile men with no history of laboratory‐confirmed COVID‐19 were included and categorized into four groups based on their vaccination status: unvaccinated group (n = 168), one‐dose vaccinated group (n = 8), fully vaccinated group (n = 183), and booster group (n = 160). All of them underwent a semen analysis and most had serum sex hormone levels tested. There were no significant differences in all semen parameters and sex hormone levels between the unvaccinated group and either vaccinated group. To account for possible vaccination‐to‐test interval‐specific changes, sub‐analyses were performed for two interval groups: ≤90 and >90 days. As expected, most of the semen parameters and sex hormone levels remained unchanged between the control and vaccinated groups. However, participants in vaccinated group (≤90 days) have decreased total sperm motility and increased follicle‐stimulating hormone level compared with the ones in unvaccinated group. Moreover, some trends similar to those found during COVID‐19 infection and recovery were observed in our study. Fortunately, all values are within the normal range. In addition, vaccinated participants reported few adverse reactions. No special medical intervention was required, and no serious adverse reactions happened. Our study suggests that inactivated SARS‐CoV‐2 vaccination does not impair male fertility, possibly due to the low frequency of adverse effects. This information reassures young male population who got this vaccine worldwide, and helps guide future vaccination efforts.

show abstract

“…vaccine is also inconclusive in other individuals without psoriasis. [28][29][30][31] A systematic review on the 75 clinical trials on different types of COVID-19 vaccines in 2021 showed no statistically significant differences in vaccine efficacy and adverse events between women and men among 7 interventional studies. 29 Some mechanisms have been described to explain why women may be at higher risks for developing adverse events.…”

Section: Ta B L E 1 Demographic Data Between Patients With and Withou...mentioning

confidence: 99%

Do different platforms of coronavirus vaccines have different impacts on psoriasis flares?

Chularojanamontri

Likittanasombat

Chaiyabutr

et al. 2023

Experimental Dermatology

View full text Add to dashboard Cite

Psoriasis is a chronic inflammatory skin disease with several triggering factors, such as trauma, drugs, stress, alcohol and vaccination. 1 On March 11, 2020, the World Health Organization declared coronavirus disease 2019 (COVID-19) a novel pandemic. Numerous vaccines against SARS-CoV-2 have been developed, and some have received emergency use authorization to prevent COVID-19 pneumonia or reduce disease severity. As of June 2021, 4 vaccine platforms-mRNA, viral vector, inactivated whole virus and recombinant protein-had entered the stage of emergency use authorization and precertification evaluation. 2 Although none had been testedin randomized clinical trials in patients with psoriasis, the National Psoriasis Foundation recommended that all patients with psoriasis should receive a vaccine as soon as it is available, as the benefits outweigh the risks. [3][4][5] The International Psoriasis Council also stated that registry data should be collected to determine the positive or negative effects of COVID-19 vaccines on psoriasis outcomes. 3,6

show abstract

Sex Differences in Adverse Reactions to an Inactivated SARS-CoV-2 Vaccine Among Medical Staff in China

Cited by 14 publications

References 28 publications

Reported Adverse Effects and Attitudes among Arab Populations Following COVID-19 Vaccination: A Large-Scale Multinational Study Implementing Machine Learning Tools in Predicting Post-Vaccination Adverse Effects Based on Predisposing Factors

Reported Adverse Effects and Attitudes among Arab Populations Following COVID-19 Vaccination: A Large-Scale Multinational Study Implementing Machine Learning Tools in Predicting Post-Vaccination Adverse Effects Based on Predisposing Factors

Effects of inactivated SARS‐CoV‐2 vaccination on male fertility: A retrospective cohort study

Do different platforms of coronavirus vaccines have different impacts on psoriasis flares?

Contact Info

Product

Resources

About