COVID-19 vaccination during or just prior to pregnancy and hypertensive disorders of pregnancy

Hypertensive disorders of pregnancy (HDP) are leading causes of maternal and fetal morbidity/mortality. To identify potential safety concerns, we evaluated whether COVID-19 vaccination during pregnancy or within 30 days of last menstrual period was associated with self-reported HDP. We also evaluated HDP risk associated with COVID-19 illness during pregnancy. We conducted a matched cohort study using data from the Centers for Disease Control and Prevention's COVID-19 Vaccine Pregnancy Registry (C19VPR; vaccinated) and Pregnancy Risk Assessment Monitoring System (PRAMS; unvaccinated). Participants included nulliparous women with singleton pregnancies ending in livebirth (C19VPR, December 2020-March 2022; PRAMS, 2019-2021). Participants were matched by age group, race/ethnicity, and gestational age at delivery. We estimated relative risk (RR) for self-reported HDP by vaccination status using Poisson regression, adjusting for confounders. We tested for effect modification by vaccine manufacturer and vaccination timing (<20 or ≥ 20 weeks' gestation). Among matched pairs with data on self-reported COVID-19 illness in pregnancy, we estimated risk of HDP by illness status. Of 8030 eligible C19VPR participants, 8024 (99.9%) were matched to a PRAMS participant. Most C19VPR participants delivered in 2021 (98.9%); PRAMS participants delivered predominantly in 2020 (54.5%) and 2019 (17.4%). Adjusted RR for HDP was 1.24 (95% confidence interval [CI]: 1.08, 1.43) among C19VPR versus PRAMS participants. We observed no effect modification. Results of an analysis restricted to matched pairs who delivered in 2021 (n = 2231) were similar. Among matched pairs (n = 4039) with data on COVID-19 illness in pregnancy, adjusted RR for HDP was 1.28 (95%CI: 1.02, 1.60) for those reporting illness compared with no illness. Risk of HDP was higher among COVID-19 vaccinated compared to unvaccinated women; however, the two groups were sampled from different cohorts. Risk was similar to those who reported COVID-19 illness. Given cohort differences, the associations observed cannot be considered causal; updated assessments of HDP risks after illness and vaccination would be useful.

Authors

Institutions

Publication Details

Journal
Vaccine
Published
2026-02-02
DOI
https://doi.org/10.1016/j.vaccine.2026.128268
Primary Topic
COVID-19 Impact on Reproduction
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

COVID-19 vaccination during or just prior to pregnancy and hypertensive disorders of pregnancy

Sarah Thompson, Ansley Waters, Sabrina A. Madni, Kendra M. Norris et al.
Vaccine
COVID-19 Impact on Reproduction
article

COVID-19 vaccination during or just prior to pregnancy and hypertensive disorders of pregnancy

Sarah Thompson, Ansley Waters, Sabrina A. Madni, Kendra M. Norris, Andrea J. Sharma, Ashley Smoots, Lauren Head Zauche, Christine K. Olson, Aliza Machefsky, Jenna Chambless, Cameron Hinrichsen, David K. Shay
article en

Abstract

Hypertensive disorders of pregnancy (HDP) are leading causes of maternal and fetal morbidity/mortality. To identify potential safety concerns, we evaluated whether COVID-19 vaccination during pregnancy or within 30 days of last menstrual period was associated with self-reported HDP. We also evaluated HDP risk associated with COVID-19 illness during pregnancy. We conducted a matched cohort study using data from the Centers for Disease Control and Prevention's COVID-19 Vaccine Pregnancy Registry (C19VPR; vaccinated) and Pregnancy Risk Assessment Monitoring System (PRAMS; unvaccinated). Participants included nulliparous women with singleton pregnancies ending in livebirth (C19VPR, December 2020-March 2022; PRAMS, 2019-2021). Participants were matched by age group, race/ethnicity, and gestational age at delivery. We estimated relative risk (RR) for self-reported HDP by vaccination status using Poisson regression, adjusting for confounders. We tested for effect modification by vaccine manufacturer and vaccination timing (<20 or ≥ 20 weeks' gestation). Among matched pairs with data on self-reported COVID-19 illness in pregnancy, we estimated risk of HDP by illness status. Of 8030 eligible C19VPR participants, 8024 (99.9%) were matched to a PRAMS participant. Most C19VPR participants delivered in 2021 (98.9%); PRAMS participants delivered predominantly in 2020 (54.5%) and 2019 (17.4%). Adjusted RR for HDP was 1.24 (95% confidence interval [CI]: 1.08, 1.43) among C19VPR versus PRAMS participants. We observed no effect modification. Results of an analysis restricted to matched pairs who delivered in 2021 (n = 2231) were similar. Among matched pairs (n = 4039) with data on COVID-19 illness in pregnancy, adjusted RR for HDP was 1.28 (95%CI: 1.02, 1.60) for those reporting illness compared with no illness. Risk of HDP was higher among COVID-19 vaccinated compared to unvaccinated women; however, the two groups were sampled from different cohorts. Risk was similar to those who reported COVID-19 illness. Given cohort differences, the associations observed cannot be considered causal; updated assessments of HDP risks after illness and vaccination would be useful.

VaccineVol. 75
Lukoil (Russia) (RU), Deloitte (United States) (US), Emory University (US), National Center for Immunization and Respiratory Diseases (US), National Center on Birth Defects and Developmental Disabilities (US), National Center for Emerging and Zoonotic Infectious Diseases (US)
Good health and well-being
Openalex Percentile: Top 70%
COVID-19 Impact on Reproduction
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.