Your browser doesn't support javascript.
Impact of coronavirus disease 2019 (COVID-19) vaccination on menstrual bleeding quantity: An observational cohort study.
Darney, Blair G; Boniface, Emily R; Van Lamsweerde, Agathe; Han, Leo; Matteson, Kristen A; Cameron, Sharon; Male, Victoria; Acuna, Juan; Benhar, Eleonora; Pearson, Jack T; Edelman, Alison.
  • Darney BG; Department of Obstetrics & Gynecology, Oregon Heath & Science University, Portland, Oregon, USA.
  • Boniface ER; Centro de Investigacion en Salud Poblacional (CISP), Insituto Nacional de Salud Publica (INSP), Cuernavaca, Mexico.
  • Van Lamsweerde A; Department of Obstetrics & Gynecology, Oregon Heath & Science University, Portland, Oregon, USA.
  • Han L; Natural Cycles°, New York, NY, USA.
  • Matteson KA; Department of Obstetrics & Gynecology, Oregon Heath & Science University, Portland, Oregon, USA.
  • Cameron S; University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.
  • Male V; Department of Obstetrics & Gynecology, University of Edinburgh and Chalmers Centre, NHS Lothian, Edinburgh, Scotland, UK.
  • Acuna J; Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.
  • Benhar E; Florida International University School of Public Health, Miami, Florida, USA.
  • Pearson JT; Natural Cycles°, New York, NY, USA.
  • Edelman A; Natural Cycles°, New York, NY, USA.
BJOG ; 130(7): 803-812, 2023 06.
Article in English | MEDLINE | ID: covidwho-2293874
ABSTRACT

OBJECTIVE:

To assess whether coronavirus disease 2019 (COVID-19) vaccination impacts menstrual bleeding quantity.

DESIGN:

Retrospective cohort.

SETTING:

Five global regions. POPULATION Vaccinated and unvaccinated individuals with regular menstrual cycles using the digital fertility-awareness application Natural Cycles°.

METHODS:

We used prospectively collected menstrual cycle data, multivariable longitudinal Poisson generalised estimating equation (GEE) models and multivariable multinomial logistic regression models to calculate the adjusted difference between vaccination groups. All regression models were adjusted for confounding factors. MAIN OUTCOME

MEASURES:

The mean number of heavy bleeding days (fewer, no change or more) and changes in bleeding quantity (less, no change or more) at three time points (first dose, second dose and post-exposure menses).

RESULTS:

We included 9555 individuals (7401 vaccinated and 2154 unvaccinated). About two-thirds of individuals reported no change in the number of heavy bleeding days, regardless of vaccination status. After adjusting for confounding factors, there were no significant differences in the number of heavy bleeding days by vaccination status. A larger proportion of vaccinated individuals experienced an increase in total bleeding quantity (34.5% unvaccinated, 38.4% vaccinated; adjusted difference 4.0%, 99.2% CI 0.7%-7.2%). This translates to an estimated 40 additional people per 1000 individuals with normal menstrual cycles who experience a greater total bleeding quantity following the first vaccine dose' suffice. Differences resolved in the cycle post-exposure.

CONCLUSIONS:

A small increase in the probability of greater total bleeding quantity occurred following the first COVID-19 vaccine dose, which resolved in the cycle after the post-vaccination cycle. The total number of heavy bleeding days did not differ by vaccination status. Our findings can reassure the public that any changes are small and transient.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Vaccines / COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Topics: Vaccines Limits: Female / Humans Language: English Journal: BJOG Journal subject: Gynecology / Obstetrics Year: 2023 Document Type: Article Affiliation country: 1471-0528.17471

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Vaccines / COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Topics: Vaccines Limits: Female / Humans Language: English Journal: BJOG Journal subject: Gynecology / Obstetrics Year: 2023 Document Type: Article Affiliation country: 1471-0528.17471