COVID-19 vaccination and menstrual disorders among women: Findings from a meta-analysis study.

Hanan M Al Kadri, Atika A Al Sudairy, Abdulaziz S Alangari, Badr F Al Khateeb, Ashraf A El-Metwally
Author Information
  1. Hanan M Al Kadri: Department of Obstetrics and Gynecology, King Abdulaziz Medical City, Ministry of the National Guard-Health affairs, Riyadh, Saudi Arabia; King Abdullah International Medical Research Center, Riyadh, Saudi Arabia; College of Public Health and Health Informatics, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia. Electronic address: kadrih@ksau-hs.edu.sa.
  2. Atika A Al Sudairy: King Abdullah International Medical Research Center, Riyadh, Saudi Arabia; College of Public Health and Health Informatics, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
  3. Abdulaziz S Alangari: King Abdullah International Medical Research Center, Riyadh, Saudi Arabia; College of Public Health and Health Informatics, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
  4. Badr F Al Khateeb: King Abdullah International Medical Research Center, Riyadh, Saudi Arabia; College of Public Health and Health Informatics, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia; Department of Family Medicine, King Abdulaziz Medical City, Ministry of the National Guard-Health affairs, Riyadh, Saudi Arabia.
  5. Ashraf A El-Metwally: King Abdullah International Medical Research Center, Riyadh, Saudi Arabia; College of Public Health and Health Informatics, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.

Abstract

BACKGROUND: COVID - 19 vaccine can lead to various local and systemic side effects, including menstrual irregularities in women. There is no robust quantitative evidence of the association between the COVID - 19 vaccine and menstrual irregularities. A meta-analysis was performed to estimate the pooled prevalence of a range of menstrual disorders that may occur in women following COVID - 19 vaccination.
METHODS: After searching for epidemiological studies, we systematically performed a meta-analysis on PubMed/Medline, EMBASE, and Science Direct. Sixteen studies were finally included in the study. We estimated the pooled prevalence and corresponding 95 % confidence intervals (CIs) for a group of menstrual disorders, including menorrhagia, polymenorrhea, abnormal cycle length, and oligomenorrhea. Heterogeneity was assessed using the I statistic and the Q test.
RESULTS: Overall, the pooled prevalence of menorrhagia was 24.24 % (pooled prevalence 24.24 %; 95 % CI: 12.8-35.6 %). The pooled prevalence of polymenorrhea was 16.2 % (pooled prevalence: 16.2 %; 95 % CI: 10.7-21.6 %). The pooled prevalence of abnormal cycle length was relatively lower than that of the other disorders (pooled prevalence: 6.6 %; 95 % CI: 5.0-8.2 %). The pooled prevalence of oligomenorrhea was 22.7 % (95 % CI: 13.5-32.0 %).
CONCLUSION: The findings indicate that menorrhagia, oligomenorrhea, and polymenorrhea were the most common menstrual irregularities after vaccination. The findings also suggest that a relatively high proportion of women suffer from menstrual irregularities. Further longitudinal studies are needed to confirm the causal relationship between COVID-19 vaccination and menstrual irregularities.

Keywords

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MeSH Term

Female
Humans
COVID-19
COVID-19 Vaccines
Menorrhagia
Menstruation Disturbances
Oligomenorrhea
Vaccination

Chemicals

COVID-19 Vaccines

Word Cloud

Created with Highcharts 10.0.0%pooledmenstrualprevalenceirregularities95disordersvaccination24CI:6COVID-19vaccinewomenmeta-analysisstudiesmenorrhagiapolymenorrheaoligomenorrhea2COVID-19includingperformedstudyabnormalcyclelength16prevalence:relativelyfindingsBACKGROUND:canleadvariouslocalsystemicsideeffectsrobustquantitativeevidenceassociationestimaterangemayoccurfollowingMETHODS:searchingepidemiologicalsystematicallyPubMed/MedlineEMBASEScienceDirectSixteenfinallyincludedestimatedcorrespondingconfidenceintervalsCIsgroupHeterogeneityassessedusingstatisticQtestRESULTS:Overall128-35107-21lower50-8227135-320CONCLUSION:indicatecommonalsosuggesthighproportionsufferlongitudinalneededconfirmcausalrelationshipamongwomen:FindingsMenstrualMeta-analysis

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