ISSN: 2332-0877

Journal des maladies infectieuses et de la thérapie

Accès libre

Notre groupe organise plus de 3 000 séries de conférences Événements chaque année aux États-Unis, en Europe et en Europe. Asie avec le soutien de 1 000 autres Sociétés scientifiques et publie plus de 700 Open Access Revues qui contiennent plus de 50 000 personnalités éminentes, des scientifiques réputés en tant que membres du comité de rédaction.

Les revues en libre accès gagnent plus de lecteurs et de citations
700 revues et 15 000 000 de lecteurs Chaque revue attire plus de 25 000 lecteurs

Abstrait

Etiology Model for Elevated Histamine Levels Driving High Reactogenicity Vaccines (including COVID-19) Associated Menstrual Adverse Events

Darrell O. Ricke

Introduction: Some women are experiencing menstrual changes, including altered menstrual duration, volume (heavier bleeding), increased dysmenorrhea, and worsened Premenstrual Syndrome (PMS) following Coronavirus disease 2019 (COVID-19) spike vaccinations. Appreciation of these as temporal adverse events associated with COVID-19 spike vaccinations was slow to develop. The etiology of these menstrual adverse events associated with COVID-19 spike vaccination remains unknown.

Methods: The United States Department of Health and Human Services Vaccine Adverse Event Reporting System (VAERS) database was data mined for data reported adverse events affecting menstrual cycles by vaccine type.

Hypothesis: This article proposes the hypothesis that vaccinations can induce a temporary surge in histamine levels immediately post vaccination as part of the innate immune response. Increasing histamine levels is known to increase estrogen levels. Further, it is proposed that this temporary surge in histamine levels causes temporary Histamine Intolerance in some women and causes the menstrual adverse events temporally associated with vaccinations.

Conclusion: Prophylactic and therapeutic treatment of vaccines with diamine oxidase and/or specific antihistamines may reduce the incidence rate and/or severity of menstrual adverse events associated with vaccines with high reactogenicity, including SARS-CoV-2 vaccines and boosters. This model predicts menstrual associated adverse events incidence levels correspond to vaccine reactogenicity.