Effects of SARS-CoV-2 Infection on Menstruation in Vaccinated Women: A Monocentric Retrospective Study DOI Creative Commons

Ruide Su,

Jiahui Lin,

Huanxin Duan

et al.

Clinical and Experimental Obstetrics & Gynecology, Journal Year: 2024, Volume and Issue: 51(7)

Published: July 23, 2024

Background: Many studies have reported irregular menstruation in women of childbearing age after vaccination or infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, no discussed the changes menstrual patterns reinfection SARS-CoV-2 vaccination. This study aimed to evaluate effect on vaccinated and unvaccinated reproductive age. Methods: retrospective analysed data 241 Between December 8th, 2022 February 11th, 2023, 201 participants were diagnosed (observation group), while 40 remained uninfected (control group). The Chi-square test Fisher’s exact used assess irregularities among participants. Logistic regression analysis was performed determine factors influencing patterns. Results: Among who completed survey, approximately one-third experienced their patterns, including a shortened cycle (30.3%), prolonged duration (13%), decreased volume (24.9%), increased dysmenorrhea (9.9%). Over half infected did not experience any pattern. Only statistically significant (p = 0.003). revealed that may be protective factor against 0.036, odds ratio (OR) 0.703, 95% confidence interval (95% CI): 0.506–0.977) 0.032, OR 0.700, CI: 0.505–0.969) infection. Conclusions: appear affect women. There except for disease 2019 (COVID-19) In addition, seems

Language: Английский

GP consultations for menstrual disorders after COVID-19 vaccination – A self-controlled cohort study based on routine healthcare data from the Netherlands DOI Creative Commons
Rana Jajou,

Thomas Lieber,

Eugène van Puijenbroek

et al.

Vaccine, Journal Year: 2024, Volume and Issue: 42(25), P. 126130 - 126130

Published: July 14, 2024

Several studies described that COVID-19 vaccinations can cause menstrual disorders. Our study aimed to describe whether this also resulted in more general practitioner (GP) consultations for disorders after vaccination, based on a large cohort study.

Language: Английский

Citations

1
Risk of heavy menstrual bleeding following COVID-19 vaccination: A nationwide case-control study DOI Creative Commons
Jérémie Botton, Marion Bertrand, Marie-Joëlle Jabagi

et al.

Vaccine, Journal Year: 2024, Volume and Issue: 42(24), P. 126252 - 126252

Published: Sept. 2, 2024

COVID-19 vaccination has been inconsistently associated with an increased risk of heavy menstrual bleeding in previous studies. This study aimed to assess the requiring hospital care following according number doses received and time elapsed since vaccination.

Language: Английский

Citations

1
Effects of SARS-CoV-2 Infection on Menstruation in Vaccinated Women: A Monocentric Retrospective Study DOI Creative Commons

Ruide Su,

Jiahui Lin,

Huanxin Duan

et al.

Clinical and Experimental Obstetrics & Gynecology, Journal Year: 2024, Volume and Issue: 51(7)

Published: July 23, 2024

Background: Many studies have reported irregular menstruation in women of childbearing age after vaccination or infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, no discussed the changes menstrual patterns reinfection SARS-CoV-2 vaccination. This study aimed to evaluate effect on vaccinated and unvaccinated reproductive age. Methods: retrospective analysed data 241 Between December 8th, 2022 February 11th, 2023, 201 participants were diagnosed (observation group), while 40 remained uninfected (control group). The Chi-square test Fisher’s exact used assess irregularities among participants. Logistic regression analysis was performed determine factors influencing patterns. Results: Among who completed survey, approximately one-third experienced their patterns, including a shortened cycle (30.3%), prolonged duration (13%), decreased volume (24.9%), increased dysmenorrhea (9.9%). Over half infected did not experience any pattern. Only statistically significant (p = 0.003). revealed that may be protective factor against 0.036, odds ratio (OR) 0.703, 95% confidence interval (95% CI): 0.506–0.977) 0.032, OR 0.700, CI: 0.505–0.969) infection. Conclusions: appear affect women. There except for disease 2019 (COVID-19) In addition, seems

Language: Английский

Citations

0