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BMC Pregnancy and Childbirth logoLink to BMC Pregnancy and Childbirth
. 2026 May 12;26:713. doi: 10.1186/s12884-026-09238-3

Maternal influenza vaccination during the first trimester of pregnancy and risk for birth defects: an updated systematic review and meta-analysis

Yue Wu 1, Chuchu Liu 1, Xiaoli Qian 1, Yao Zhou 1, Yiquan Xiong 2,✉
PMCID: PMC13334752  PMID: 42121086

Abstract

Background

Pregnant people have been recommended to receive influenza vaccine at any stage of pregnancy or before conception. However, a large number of pregnant people do not receive the vaccine because of safety concerns. The aim of this study was to investigate the risk of maternal influenza vaccination during the first trimester for birth defects (BDs).

Methods

A literature search of PubMed, Embase, the Cochrane Library, the Web of Science and Scopus databases was performed to identify eligible observational studies published from inception to 28th April 2023. The risk estimates were analyzed by pooling odds ratio (OR) with 95% confidence intervals (CIs). Potential sources of heterogeneity were identified by subgroup and meta-regression analysis. Several categories of sensitivity analyses were performed.

Results

31 studies involving 1,223,024 individuals were included in this study. Compared with the unvaccinated control group or those receiving influenza vaccination during second or third trimester, no increased risk of total BDs (28 studies, unadjusted OR 1.15, 95% CI 0.97–1.36; 10 studies, adjusted OR 1.03, 95% CI 0.98–1.07) or major BDs (16 studies, unadjusted OR 1.11, 95% CI 0.97–1.25; 6 studies, adjusted OR 1.03, 95% CI 0.98–1.09) was observed among those vaccinated during the first trimester. No potential risks were observed based on different vaccine type, the use of adjuvants, the assessment of BDs or control type. Results were consistent across sensitivity analyses for primary results.

Conclusions

This study provided updated evidence that influenza vaccination in early pregnancy did not increase the risk for BDs.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12884-026-09238-3.

Keywords: Influenza vaccination, Birth defects, Pregnancy, Risk, Meta-analysis

Introduction

Influenza virus infection has a significant global disease burden, causing 3–5 million cases of severe illness [1, 2]. Compared to the general population, pregnant people are more susceptible to influenza virus infection due to physiologic changes and immunosuppression, which can increase the risk of several adverse pregnancy outcomes (e.g., miscarriage and preterm birth) [3, 4]. The Centers for Disease Control and Prevention (CDC) and the American College of Obstetricians and Gynecologists (ACOG) recommend that all pregnant people receive influenza vaccine at any stage of pregnancy [5, 6]. However, several surveys revealed persistently low uptake of influenza vaccine among pregnant people, such as 61.2% in the US [7], and 1.7%-40.6% in European Union [8, 9]. In China, only 11.4% of pregnant people expressed willingness to receive an influenza vaccine during pregnancy [10]. One of the major reasons for this low uptake is concern about potential adverse events following maternal influenza vaccine, such as stillbirth, preterm birth, low birth weight, and birth defects (BDs) [11].

The first trimester is a crucial stage of embryonic development, during which the organs of the embryo are formed. This period is particularly vulnerable to external factors that may induce BDs, such as drugs and infection. Vaccination during pregnancy has been consistently shown to effectively prevent influenza in expectant mothers and protect infants under six months of age through the transmission of protective antibodies across the placenta [12, 13]. Although influenza vaccination during pregnancy is generally considered safe, some studies have explored potential concerns regarding first-trimester vaccination. For example, Pasternak et al. reported a slight increase in the risk of BDs in the H1N1-vaccinated population during the first trimester of pregnancy in unadjusted analyses (unadjusted OR 2.26, 95% CI 1.40–3.66); although this association was no longer statistically significant after adjustment for confounders [14]. Chambers et al. found no significant association between influenza vaccination and BDs (adjusted OR 0.79, 95% CI 0.26–2.42) [15], however, the wide confidence interval reflects limited precision.

To date, several meta-analyses have explored the association between influenza vaccination and BDs [16–18]. However, few studies have specifically focused on those vaccinated during the first trimester and the sample sizes in these studies are relatively small. Moreover, these analyses have not scrutinized potential associations between BDs and other pivotal variables related to influenza vaccination, such as differentiating between pandemic monovalent and seasonal multivalent vaccines. The impact of influenza vaccination during early pregnancy on the occurrence of BDs remains uncertain. In order to address this issue and provide further evidence in the field of reproductive health, we conducted this updated systematic review and meta-analysis of all available evidence to assess the association between maternal influenza vaccination during the first trimester and the risk of BDs.

Methods

This study was conducted and reported following the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement [19]. The review protocol was prospectively registered in PROSPERO (CRD42023450641).

Eligibility criteria

Cohort studies and case-control studies were included if they (1) evaluated the association between influenza vaccination during pregnancy and adverse pregnancy outcomes; (2) included at least one exposure group that received influenza vaccine during the first trimester; (3) included total BD, major BD (major structural anomalies with serious health or developmental consequences) or organ system specific BDs (e.g., congenital malformations of the circulatory system) as outcomes among live-born infants.

Studies were excluded if they (1) were conference abstracts, recommendations or review; (2) did not report the original number of events and total participants in vaccination and control group, or adjusted effect size and 95% confidence intervals (CIs).

Literature search

A systematic literature search was conducted on PubMed, Embase, Cochrane Library, Web of Science and Scopus databases from the earliest available date (i.e., 1981) to 28th April 2023. A pre-designed and modified search strategy (see detailed search strategy in Appendix 1), which combined of MeSH terms and free-text words, was used to identify eligible studies, including but not limited to pregnancy, maternal, gestation, pregnant, influenza vaccine, flu vaccine, influenza virus vaccine, flu vaccination, influenza vaccination, influenza virus vaccination. Furthermore, the reference lists of the included articles and relevant systematic reviews, which investigated the influence of influenza vaccination on BD, were manually checked for additional relevant literature.

Study process

Two reviewers (C.C. and X.L.) independently screened titles, abstracts, followed by full texts to check the eligibility for inclusion. Any disagreements were resolved by a third reviewer (Y. W.). Data from each eligible study was extracted using standardized and pilot-tested forms. The forms included general study information (e.g., first author name, year of publication, country of origin, sample size and study design), the vaccination information (e.g., vaccine type, the use of adjuvants and the timing of vaccination), BDs information (e.g., classification, the assessment of BDs, number of BDs), and adjusted effect estimates with 95% confidence intervals.

Risk of bias assessment

The risk of bias in the included studies was assessed independently by two reviewers (X.L. and Y.Z.) using the Newcastle-Ottawa Scale (NOS) [20]. The scale scores studies on three categories: selection of subjects, comparability of study groups, and assessment of exposure, with a maximum score of 9 points. Studies with a quality score of 7 or higher were considered to be of high quality.

Exposure and outcomes

First trimester vaccination (exposed group) was defined as pregnant people receiving influenza vaccine during 0–13+ 6 gestation weeks. People who received the influenza vaccine during the second or third trimester, or who did not receive the influenza vaccine during pregnancy were classified as the control group.

The primary outcome in this study was total BDs [21]. The second outcomes were major BDs and 10 organ system specific BDs. Major BDs refers to structural congenital anomalies present at birth that have significant medical, social, cosmetic, or functional consequences for the affected individual and typically require medical or surgical intervention [22]. The organ system specific BDs included congenital malformations of the nervous system, eye, ear, face and neck, the circulatory system, the respiratory system, cleft lip and cleft palate, the digestive system, genital organs and the urinary system, the musculoskeletal system, other congenital malformations, chromosome abnormalities. The number of BD was defined as the number of infants who were with one or more type of BD. In instances where number of infants was unavailable, number of maternal was substituted.

Statistical analysis

In this study, all unadjusted and adjusted data were separately pooled. Between-study statistical heterogeneity was determined by Cochran’s Chi-squared test and the I2 statistic. Substantial statistical heterogeneity was defined as I2 ≥ 50%. OR with 95% confidence intervals (CIs) were calculated as effect indicators by using the Mantel-Haenszel random-effects model. Because the incidence of the outcome in this study is usually less than 5%, we treat OR, hazard ratio (HR), prevalence risk (PR), and relative risk (RR) as the same effect measures. When pooling the risk estimates, we prioritized using the unvaccinated group during pregnancy as the control group. In cases where this group was not available, vaccinated during the second trimester, third trimester, or any combination of them was chosen as the control group.

Subgroup analyses were performed based on several factors: vaccine type (pandemic monovalent vs. seasonal multivalent), the use of adjuvants (nonadjuvanted vs. adjuvanted vs. nonadjuvanted/adjuvanted), study design (cohort study vs. case-control study), the assessment of BDs (medical records vs. self-reported vs. medical records/self-reported) and control type (unvaccinated control vs. the second trimester control vs. the third trimester control vs. the second or third trimester control). The statistical difference of the effects among these subgroups was tested by interaction test. Additionally, meta-regression analysis was employed to evaluate heterogeneity.

Sensitivity analyses were conducted employing four approaches (1) adding 1 BD to both exposed and control group in these studies that reported no BD observed in all participants [23]; (2) deleting the studies with a low quality (NOS score less than 7); (3) sequentially excluding one study at a time and recalculating the pooled estimate to assess whether any single study disproportionately influenced the results; (4) using the trim and fill method to impute potentially missing studies and adjust the pooled estimate for potential publication bias [24]. To assess publication bias, we conducted Egger’s and Begg’s tests and generated a funnel plot. All statistical analyses were performed using Stata version 17.0 (Stata Corp LLC, College Station, TX).

Results

Characteristics of included studies

We initially identified 14,339 relevant studies from the literature search, and 31 eligible studies involving 1,223,024 participants were ultimately included [14, 15, 23, 25–53]. The flow chart illustrating the study selection process is shown in Fig. 1.

Fig. 1.

Fig. 1

PRISMA (Preferred reporting Items for Systematic Reviews and Meta-Analyses) flow diagram of the literature search and study selection process. ††Of the 31 included studies, 29 reported total birth defects (28 were included in pooled analysis), 16 reported major birth defects, and 12 reported organ system specific outcomes

There were 17 prospective studies [15, 23, 25, 27, 32–36, 38, 41, 42, 45, 49–52], 10 retrospective studies [14, 26, 28–31, 37, 40, 46, 53] and 4 case-control studies [39, 44, 47, 48]. Of the 31 studies, 28 reported total BDs, 16 reported major BDs, and 12 reported organ system specific BDs. All vaccines mentioned in the included studies were inactivated influenza vaccines, with 14 studies using pandemic monovalent vaccination, 13 studies using seasonal trivalent or quadrivalent influenza vaccines, 2 studies using any of the aforementioned types, and 2 studies not reporting the vaccine type. 23 studies reported BDs based on medical records, while 3 studies relied on self-reporting. 4 studies used a combination of medical records and self-reported data and 1 study did not mention the method. Further descriptions of the included studies showed in Table 1. The included studies exhibited a low risk of bias, 26 (83.87%) achieved a score of 7 or higher.

Table 1.

Characteristics of included studies

ID Study Country Study design Study center Study duration Total number of participants Age of the participants at conception(y) No. of exposed groups No. of BDs in exposed groups No. of control groups No. of BDs in control groups Vaccine type Assessment of birth defects Control typea Adjustment factorsc NOS
1 Deinard (1981) US Prospective cohort study 4 NA 706 21.97 41 7 517 67 H1N1 (A/New Jersey/76) monovalent pandemic, nonadjuvanted Medical records a1 a2 a3 a4 a5 NA 7
2 Ka¨lle´n (2012) Sweden Retrospective cohort study Multicenter 2009–2010 238,824 NA 3197 200 111,297 2997 H1N1 2009 monovalent pandemic, AS03-adjuvanted Medical records a1 c1 9
3 Ludvigsson (2016) Sweden Prospective cohort study 7 2009.10-2011.10 137,660 39.8 14,385 732 56,886 2825 H1N1 2009 monovalent pandemic, AS03-adjuvanted Medical records a1 a5 c2 9
4 Moro (2016) US Retrospective cohort study Multicenter 2010.7-2016.5 671 31 116 5 69 1 Trivalent, seasonal, nonadjuvanted Medical records a2 a3 a4 NA 7
5 Moro (2020) US Retrospective cohort study Multicenter 2013.7-2020.5 391 29.5 92 1 248 11 Trivalent, seasonal, nonadjuvanted Medical records or Self-reported a4 NA 7
6 Peppa (2021) UK Retrospective cohort study Multicenter 2010.9-2016.3 71,124 NA 6872 565 46,669 3289 Trivalent or quadrivalent, seasonal, nonadjuvanted Medical records a1 a2 a3 a4 a5 c3 9
7 Sheffield (2012) US Retrospective cohort study Multicenter 2003.10-2008.3 84,843 26.0-26.8 447 5 76,919 1163 Trivalent, seasonal, nonadjuvanted Medical records a1 NA 7
8 Tavares (2011) UK Prospective cohort study 87 2009.10-2009.12 267 30.9 38 0 217 5 H1N1 2009 monovalent pandemic, AS03-adjuvanted Medical records a3 a4 NA 7
9 Mackenzie (2011) UK Prospective cohort study 1015 2009.11-2010.4 128 NA 9 1 7 0 H1N1 2009 monovalent pandemic, nonadjuvanted or AS03-adjuvanted Self-reported a1 a2 a3 a4 a5 NA 6
10 Robinson (2022) a* US Prospective cohort study 5 2017–2020 665 28 173 2 212 5 Quadrivalent, seasonal, nonadjuvanted Medical records or Self-reported a2 a3 a4 NA 7
11 Robinson (2022) b* US Prospective cohort study 5 2017–2021 483 29.8 171 2 111 0 Quadrivalent, seasonal, nonadjuvanted Medical records or Self-reported a2 a3 a4 NA 7
12 Pasternak (2012) Denmark Retrospective cohort study Multicenter 2009.11-2010.9 53,432 NA 345 18 22,917 545 H1N1 2009 monovalent pandemic, AS03-adjuvanted Medical records a1 c4 9
13 Ohfuji (2020) Japan Prospective cohort study 117 2013.10-2014.12 10,330 32 1121 33 1705 55 NA Medical records a1 NA 7
14 Kharbanda (2019) US Retrospective cohort study Multicenter 2004.1-2013.9 425,944 NA 52,552 861 282,091 4284 Trivalent or quadrivalent, seasonal, nonadjuvanted Medical records a1 a5 c5 8
15 Auffret (2013) France Prospective cohort study 47 2009.11-2010.4 781 30.9 24 0 322 6 H1N1 2009 monovalent pandemic, nonadjuvanted or AS03-adjuvanted Self-reported a2 a3 a4 NA 6
16 Huang (2014) China The case-control design 1 2009.11-2010.9 34,244 NA 161 7 10,783 1051 H1N1 2009 monovalent pandemic, nonadjuvanted or MF59-adjuvanted Medical records a1 c6 9
17 Cleary (2014) UK Retrospective cohort study 1 2008.12-2010.9 6894 NA 246 9 3898 110 H1N1 2009 monovalent pandemic, nonadjuvanted or AS03-adjuvanted Medical records a1 NA 7
18 Vries (2014) Netherlands Prospective cohort study 1 2009–2010 278 31.2 23 1 135 0 H1N1 2009 monovalent pandemic, MF59-adjuvanted or AS03-adjuvanted Self-reported a2 a3 a4 NA 6
19 Heikkinen (2012) Finland Prospective cohort study 36 2009.11-2010.8 4508 31.6 94 2 2213 41 H1N1 2009 monovalent pandemic, MF59-adjuvanted Medical records a1 a2 a3 a4 a5 NA 7
20 Chambers (2013) US or Canada Prospective cohort study 1 2009.10-2012.4 1032 NA 328 9 188 6 H1N1 2009 monovalent pandemic or trivalent influenza vaccine, nonadjuvanted Medical records a1 c8 9
21 Chambers (2016) Italy Prospective cohort study 1 2010–2014 1730 NA 457 26 427 13 Trivalent or quadrivalent, seasonal, nonadjuvanted Medical records a1 NA 7
22 Sarna (2022) Australia Retrospective cohort study Multicenter 2012.4-2016.4 125,866 NA 2811 62 112,125 2491 Trivalent or quadrivalent, seasonal, nonadjuvanted Medical records or Self-reported a1 c9 9
23 Louik (2016) US The case-control design 5 2011–2012, 2012–2013, 2013–2014 7054 NA 711 461 3566 2405 Trivalent or quadrivalent, seasonal, nonadjuvanted Medical records a1 c11 9
24 Oppermann (2012) Germany Prospective cohort study 1 2009.9-2010.3 1652 32–33 52 6 1198 138 H1N1 2009 monovalent pandemic, nonadjuvanted, AS03-adjuvanted or MF59-adjuvanted Medical records a1 NA 7
25 Horiya (2011) US Prospective cohort study 1 2009.10 210 34.8–35.7 15 0 29 2 H1N1 2009 monovalent pandemic, nonadjuvanted or AS03-adjuvanted NA a2 a3 a4 NA 6
26 Mohammed (2020) Australia Prospective cohort study 2 2015.3-2017.12 1253 29.5 141 2 1066 21 Trivalent, nonadjuvanted Medical records a5 c12 9
27 Chavant (2013) France Prospective cohort study 17 2009.11-2010.3 2415 31 92 1 1162 34 H1N1 2009 monovalent pandemic, nonadjuvanted, AS03-adjuvanted or MF59-adjuvanted Medical records a2 a3 a4 NA 7
28 Lin (2012) China Retrospective cohort study 3 2009.10-2010.2 396 32.4–32.8 10 0 206 7 H1N1 2009 monovalent seasonal, nonadjuvanted Medical records a1 a2 a3 a4 a5 NA 7
29 Nwoji (2022) US Prospective cohort study 4 2014.6-2019.5 115 NA 30 0 37 0 Quadrivalent, seasonal, nonadjuvanted Medical records a2 a3 a4 NA 6
30 Palmsten (2021) US The case-control design 10 1997.10-2011.12 4937 NA NA NA NA NA NA Medical records a5 c7 9
31 Louik (2013) US The case-control design 4 2009.10-2010.7, 2010.8-2011.7 4191 NA NA NA NA NA H1N1 2009 monovalent pandemic or trivalent influenza vaccine, nonadjuvanted Medical records a1 c10 8

* Robinson (2022) a and Robinson (2022) b were two studies with different vaccine process based on chicken embryos and cell-based, respectively

a control type:

a1 unvaccinated control

a2 the third trimester control

a3 the second trimester control

a4 the second or third trimester control

a5 the second trimester, third trimester or unvaccinated control

c adjusted factors:

c1 maternal age, year of birth, parity, smoking and BMI

c2 maternal age, BMI, sex, parity, smoking, education, mother’s country of birth, and disposable income

c3 maternal age, maternal ethnicity, region, and influenza season the number of weeks the first trimester overlapped with a period of influenza activity above baseline levels as well as the following maternal factors: IMD, number of children in the household, smoking status, hazardous drinking, extreme BMI, clinical risk group, chronic hypertension, and exposure to teratogenic drugs and/or live vaccines

c4 maternal age, place of birth, degree of urbanization at place of living, parity, smoking status, and pre-pregnancy body mass index; history of any birth defects, preterm birth, spontaneous abortion, and small size for gestational age; maternal comorbidities and use of drugs; and health care utilization: number of hospital admissions and hospital outpatient visits in the last 3 years, and number of drugs used in the last 6 months

c5 This article did not report adjustment factors

c6 maternal age, maternal medical risk factors, labor and delivery complications, and history of smoking during pregnancy

c7 maternal age at delivery, maternal race/ethnicity, plurality, cigarette smoking, alcohol use, low folate intake, and, for neural tube defects, folate antagonist medication use, education, body mass index, gravidity, hypertension during pregnancy, fever, and respiratory illness

c8 race, previous elective termination, infection and directly adjusted for autoimmune disease

c9 maternal age, mother’s ethnicity, parity, season of birth, smoking status, sex, antenatal care indicator, mother’s medical conditions, and disadvantage

c10 maternal age, maternal race, maternal education, family income, marital status, parity, study center, body mass index (BMI), family history of birth defects, pregnancy intention, periconceptional folic acid use, alcohol use, smoking, asthma, diabetes, LMP quarter, infertility treatment, treatment for high blood pressure or toxemia, inter-pregnancy interval, and season of exposure (2009–2010 or 2010–2011)

c11 maternal age, maternal race/ethnicity, maternal education, family income, marital status, parity, study center, pre-pregnancy BMI, pregnancy intention, periconceptional folic acid use, alcohol use, smoking, asthma, diabetes, high blood pressure or toxemia, interpregnancy interval, any infection in pregnancy, LMP quarter, infertility medication use, family history of birth defects, multiple births, coffee consumption, employment outside the home, illicit medication use, and history of miscarriage

c12 maternal age, ethnicity, total years of fulltime education, household income, gravidity, intake of alcohol and recreational drugs, smoking, pre-pregnancy body mass index (continuous), use of multivitamin supplements, Edinburgh Postnatal Depression Scale (EPDS), The State-Trait Anxiety Inventory (STAI), Perceived Stress Scale (PSS-10), physical activity, infertility treatment, asthma and estimated season of delivery and infant’s sex

Association between influenza vaccination during the first trimester and BDs

By including 28 studies involving 1,213,781 pregnant people, the pooled unadjusted results indicated that influenza vaccination during the first trimester did not increase the risk of total BDs (28 studies, unadjusted OR 1.15, 95% CI 0.97–1.36, I2 = 81.7%; Fig. 2A). Similarly, the pooled adjusted data also showed no association between influenza vaccination during the first trimester and total BDs (10 studies, adjusted OR 1.03, 95% CI 0.98–1.07, I2 = 0.0%; Fig. 2B).

Fig. 2.

Fig. 2

Forest plot for the risk of total birth defects associated with maternal influenza vaccination during the first trimester. (A) unadjusted data; (B) adjusted data. † †Of the 31 included studies, two reported only organ system specific birth defects, and one study reported no cases in either the exposed or control groups; therefore, 28 studies contributed to the pooled analysis of total birth defects ‡ In the analyses, 10 studies used maternal counts because infant BD data were unavailable, and 9 studies used second or third trimester vaccination as the comparison in the absence of an unvaccinated control group

In addition, no increased risk for major BDs was found in pooled unadjusted data (16 studies, unadjusted OR 1.11, 95% CI 0.97–1.25, I2 = 44.7%; Fig. 3A) and pooled adjusted data (6 studies, adjusted OR 1.03, 95% CI 0.98–1.09, I2 = 0.0%; Fig. 3B). Based on unadjusted data, no increased risk for BDs was found in 9 out of the 10 organ system specific BDs, with the exception of urogenital system (Table 2). For circulatory system BDs, adjusted data showed no increased risk (5 studies, adjusted OR 0.98, 95% CI 0.89–1.07, I2 = 0.0%).

Fig. 3.

Fig. 3

Forest plot for the risk of major birth defects associated with maternal influenza vaccination during the first trimester. (A) unadjusted data; (B) adjusted data

Table 2.

Maternal influenza vaccination during the first trimester and organ systems specific BDs

Organ system No. of studies BDs in exposed group (n/N) BDs in control group (n/N) The pooled unadjusted OR (95% CI)
Circulatory system 7* 857/81,290 8715/618,900 1.05 (0.97–1.13)
Cleft lip and cleft palate 7 138/54,274 673/286,075 1.00 (0.82–1.21)
Digestive system 3 114/56,484 677/395,921 0.93 (0.76–1.13)
Musculoskeletal system 3 73/56,484 1125/395,921 1.08 (0.77–1.52)
Nervous system 2 87/53,673 438/283,796 1.06 (0.84–1.34)
Respiratory system 1 1/1121 0/1705 4.57 (0.19-112.19)
Urogenital system 3 272/56,484 2023/395,921 1.19 (1.00-1.42)
Congenital malformations of eye, ear, face and neck 3 26/56,484 143/395,921 1.51 (0.74–1.77)
Other congenital malformations 1 73/52,552 385/282,091 1.02 (0.79–1.31)

*This included Palmsten’s (2021) study reporting the cardiovascular system, which comprises the majority of the circulatory system

Subgroup analysis and meta regression

The results of the subgroup analyses of different vaccine type, different adjuvants, and the assessment of BDs, different control type were consistent with the primary results. Although a slight increased risk of BD was observed in the pooled unadjusted data of cohort studies, the pooled adjusted data showed a non-significant association (Table 3). Meta-regression, which included variables such as vaccine type, the use of adjuvants, study design and the assessment of BDs, revealed no significant differences in heterogeneity between subgroups.

Table 3.

Subgroup analysis of association between total BDs and influenza vaccination during the first trimester based on the unadjusted data of 28 studies† and adjusted data of 10 studies

Subgroup Unadjusted effects Adjusted effects
No. of studies OR (95% CI) P value* No. of studies OR (95% CI) P value*
Study design 0.11 0.40
 Cohort study 26 1.23 (1.02–1.47) 8 1.03 (0.99–1.08)
 Case-control study 2 0.67 (0.33–1.37) 2 0.75 (0.35–1.58)
Vaccine type 0.72 0.85
 Pandemic monovalent 14 1.24 (0.81–1.89) 4 1.01 (0.89–1.14)
 Seasonal multivalent 12 1.06 (0.95–1.18) 5 1.03 (0.98–1.09)
 Pandemic monovalent or Seasonal multivalent 1 0.86 (0.30–2.44) 1 0.79 (0.26–2.41)
 NA 1 - - -
The use of adjuvants 0.53 0.11
 Nonadjuvanted 14 1.07 (0.97–1.17) 6 1.03 (0.98–1.09)
 AS03-adjuvanted 4 1.65 (0.85–3.22) 3 1.03 (0.96–1.11)
 MF59-adjuvanted 1 1.15 (0.27–4.83) 1 0.46 (0.22–0.98)
 Any of the above 8 0.86 (0.48–1.54) - -
 NA 1 - - -
The assessment of BDs 0.28 0.71
 Medical records 20 1.18 (0.98–1.41) 9 1.03 (0.99–1.08)
 Self-reported 3 3.31 (0.54–20.34) - -
 Medical records or self-reported 4 0.93 (0.64–1.35) 1 0.98 (0.76–1.26)
 NA 1 - - -
Control type 0.79 0.91
 Unvaccinated control 18 1.18 (0.99–1.40) 8 1.02 (0.97–1.08)
 The second trimester control 13 1.07 (0.96–1.19) - -
 The third trimester control 12 1.28 (0.84–1.95) - -
 The second or third trimester control 14 1.16 (0.84–1.62) - -
 The second trimester, third trimester or unvaccinated control 8 1.08 (1.03–1.13) 3 1.03 (0.97–1.09)

*P value for interaction between subgroups. A two-sided P value < 0.05 was considered statistically significant

†Of the 31 included studies, two reported only organ-system–specific birth defects, and one study reported no cases in either the exposed or control groups; therefore, 28 studies contributed to the pooled analysis of total birth defects

Sensitivity analyses

By additionally including one study reported zero events in both the exposed and control groups [23], the results (29 studies, unadjusted OR 1.15, 95% CI 0.97–1.36; Figure S1) were consistent with primary pooled results. When deleting the low-quality studies, the result remains stable (23 studies, unadjusted OR 1.14, 95% CI 0.96–1.36; 10 studies, adjusted OR 1.03, 95% CI 0.98–1.07). By sequentially removing individual eligible studies, we observed that no individual study altered the pooled unadjusted or adjusted results (Figure S2A; Figure S2B). Furthermore, trim and fill method did not identify or supplement any additional studies using unadjusted data (28 studies, unadjusted OR 1.15, 95% CI 0.97–1.37) or adjusted data (10 studies, adjusted OR 1.03, 95% CI 0.98–1.07).

Publication bias

Funnel plot was symmetric across total BDs based on unadjusted and adjusted data (Figure S3A; Figure S3B). No potential publication bias was presented by Egger’s test (P = 0.93 for unadjusted pooled analysis; P = 0.04 for adjusted pooled analysis) and Begg’s test (P = 0.41 for unadjusted pooled analysis; P = 0.09 for adjusted pooled analysis).

Discussion

Summary of main findings

By including 31 studies involving 1,223,024 participants, this meta-analysis suggests that receiving influenza vaccine during the first trimester of pregnancy is not associated with a higher risk of total BDs (adjusted OR 1.03, 95% CI 0.98–1.07) or major BDs (adjusted OR 1.03, 95% CI 0.98–1.09), which represents the most comprehensive evidence to date. The results of several sensitivity analyses were consistent with the primary outcome, which substantiates the robustness of our findings.

Comparison with previous studies

In 2015, a meta-analysis first reported that maternal influenza vaccination was not associated with an increased risk of total BDs (15 studies, OR 0.96, 95% CI 0.86–1.07) [17]. Since then, several subsequent meta-analyses have yielded similar results [16, 18, 54]. However, there are still studies that have found some specific influenza vaccinations may be associated with a higher risk of BDs. For example, Zhang et al. reported an association between H1N1 vaccination during pregnancy and BDs (19 studies, adjusted OR 1.14, 95% CI 1.02–1.29) [55]; however, most vaccinations in their study occurred after the first trimester, which may contribute to variability in pooled estimates and complicate interpretation with respect to teratogenic risk. Although the safety profile of influenza vaccines during pregnancy is considered favorable [56], the level of evidence for BDs has very low certainty according to the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) framework [57], and the association between maternal influenza vaccination during the first trimester and BDs remains a much-debated topic. In this study, we defined the exposed group only as pregnant people who received vaccine during the first trimester, the critical stage of embryonic development, thus excluding the noncausal effect of vaccination during the second or third trimester. At the same time, in addition to including an unvaccinated control group, we also conducted the comparison to vaccination during the second trimester, third trimester, the second or third trimester and the second trimester, third trimester or unvaccinated control. Using these exposure and control group definitions, no significant association with increased risk was found in our study (Table 3).

In addition to total BDs, several studies have focused on the impact of influenza vaccination on major BDs [43, 46], which have serious consequences for the health of the fetus, including long-term health problems, disability, and even death [58]. There were two previous meta-analyses that investigated the risk of major BDs after receiving influenza vaccines during pregnancy, revealing no significant association [17, 18]. Moreover, our study focused on vaccination during the first trimester and showed similar results (Table 2). However, limited studies have explored the risk of influenza vaccination for organ system specific BDs. In our study, we observed a possible week link between influenza vaccination during pregnancy and an increased risk of urogenital system BDs. Nonetheless, the results should be viewed with caution due to the small number of studies and unadjusted confounding factors. Further cohort studies with larger sample sizes may be required to confirm these associations for organ system specific BDs.

The potential difference in effects of seasonal and pandemic influenza vaccines on maternal and infant adverse outcomes is also a significant concern. Previous meta-analyses suggested that no significant difference in effect was found between seasonal and pandemic vaccines when focusing on preterm birth (seasonal vaccine, RR 1.12, 95% CI 0.88–1.46; pandemic vaccine, RR 1.15, 95% CI 0.93–1.46 ) [54] and low birth weight (seasonal vaccine, RR 0.74, 95% CI 0.52–1.05; pandemic vaccine, RR 0.89, 95% CI 0.78–1.02) [57]. By including 15,510 live births, a cohort study showed that maternal vaccination during pregnancy with pandemic H1N1 vaccine, compared with seasonal influenza vaccination, were not at increased risk of BDs (adjusted OR 1.14, 95% CI 0.96–1.35) [59]. According to the subgroup analyses, our study also showed either pandemic influenza vaccines (14 studies, adjusted OR 1.24, 95% CI 0.81–1.89) or seasonal influenza vaccines (12 studies, adjusted OR 1.06, 95% CI 0.95–1.18) administered during the first trimester did not increase the risk of BDs, which provide support pandemic influenza vaccination during pregnancy.

Implications for practice and research

This study suggests that influenza vaccination during early pregnancy did not increase the risk of BDs, which may help alleviate concerns about vaccination safety during pregnancy and support informed decision-making, particularly among individuals who were not vaccinated prior to conception. Although causal inferences cannot be made, influenza vaccination during pregnancy has the potential to contribute to the prevention of influenza-related complications, thereby supporting the overall quality of prenatal care.

Strengths and limitations

Our study has two main strengths. First, we conducted a comprehensive examination of the relationship between influenza vaccination during the first trimester and various aspects of BDs, including total BD, major BD, and organ system specific BDs. Secondly, we employed rigorous data analyses, including the pooling of unadjusted and adjusted effects, subgroup analyses, and sensitivity analyses, to substantiate the robustness of our findings.

This study also has four main limitations. First, some of the pooled results in this study had heterogeneity, which could be caused by differences in basic characteristics of the populations. Although random effect was used, the impact of heterogeneity on the pooled results was not wholly eliminated. Second, this study only examines BDs in live births. BDs in miscarriages or stillbirths are not included in the analysis because of insufficient reporting in the original studies. Third, because BDs are rare events, the number of BDs in some pooled analyses are small, especially in organ system specific BDs. For these specific BDs, prospective studies with larger sample sizes are needed to further verify the association. Fourth, most included studies were conducted over a decade ago, which may limit the generalizability of these findings to current clinical settings.

Conclusions

Compared with the unvaccinated control group or those receiving influenza vaccination during second or third trimester, no increased risk of BDs was observed among those vaccinated during the first trimester.

Supplementary Information

Supplementary Material 1. (16.6KB, docx)

Acknowledgements

Not applicable.

Authors’ contributions

YW: Methodology; Formal analysis; Writing- original draft; Writing-review & editing; Project administration. CL: Methodology; Data curation; Validation; Visualization; Writing - original draft. XQ: Methodology; Data curation; Validation; Visualization; Writing-original draft; YZ: Methodology; Data curation; Formal analysis; Validation; Visualization. YX: Conceptualization; Supervision; Project administration; Funding acquisition; Writing - review & editing.

Funding

This study was funded by National Natural Science Foundation of China (72004148), Zhejiang Provincial Traditional Chinese Medicine Science and Technology Project (2024ZL374), and Sichuan Provincial Natural Science Foundation (24NSFSC7783), Application of Real-World Data in Post-Marketing Drug Safety Surveillance and Evaluation (HX-H2403098).

Data availability

Data is provided within the manuscript or supplementary information files.

Declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Uyeki TM, Hui DS, Zambon M, Wentworth DE, Monto AS. Influenza Lancet. 2022;400(10353):693–706. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Iuliano AD, Roguski KM, Chang HH, Muscatello DJ, Palekar R, Tempia S, Cohen C, Gran JM, Schanzer D, Cowling BJ, et al. Estimates of global seasonal influenza-associated respiratory mortality: a modelling study. Lancet. 2018;391(10127):1285–300. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Wang R, Yan W, Du M, Tao L, Liu J. The effect of influenza virus infection on pregnancy outcomes: A systematic review and meta-analysis of cohort studies. Int J Infect Dis. 2021;105:567–78. [DOI] [PubMed] [Google Scholar]
  • 4.Oseghale O, Vlahos R, O’Leary JJ, Brooks RD, Brooks DA, Liong S, Selemidis S. Influenza Virus Infection during Pregnancy as a Trigger of Acute and Chronic Complications. Viruses. 2022;14(12). [DOI] [PMC free article] [PubMed]
  • 5.Grohskopf LA, Alyanak E, Broder KR, Blanton LH, Fry AM, Jernigan DB, Atmar RL. Prevention and Control of Seasonal Influenza with Vaccines: Recommendations of the Advisory Committee on Immunization Practices - United States, 2020-21 Influenza Season. MMWR Recomm Rep. 2020;69(8):1–24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Practice ACoO. ACOG Committee Opinion 732: Influenza Vaccination During Pregnancy. Obstet Gynecol. 2018;131(4):e109–14. [DOI] [PubMed] [Google Scholar]
  • 7.Razzaghi H, Kahn KE, Black CL, Lindley MC, Jatlaoui TC, Fiebelkorn AP, Havers FP, D’Angelo DV, Cheung A, Ruther NA, et al. Influenza and Tdap Vaccination Coverage Among Pregnant Women - United States, April 2020. MMWR Morb Mortal Wkly Rep. 2020;69(39):1391–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Corbeau M, Mulliez A, Chenaf C, Eschalier B, Lesens O, Vorilhon P. Trends of influenza vaccination coverage in pregnant women: a ten-year analysis from a French healthcare database. Sci Rep. 2022;12(1):7153. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.European Centre for Disease Prevention and Control. Seasonal influenza vaccination recommendations and coverage rates in EU/EEA Member States – An overview of vaccination recommendations for 2021-22 and coverage rates for the 2018-19 to 2020-21 influenza seasons. Stockholm: ECDC. 2023. https://www.ecdc.europa.eu/en/publications-data/seasonal-influenza-vaccination-recommendations-and-coverage-rates-eueea-member. Accessed 3 April 2024.
  • 10.Wang J, Sun D, Abudusaimaiti X, Vermund SH, Li D, Hu Y. Low awareness of influenza vaccination among pregnant women and their obstetricians: a population-based survey in Beijing, China. Hum Vaccin Immunother. 2019;15(11):2637–43. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Steelfisher GK, Caporello HL, Broussard CS, Schafer TJ, Ben-Porath EN, Blendon RJ. Seasonal Influenza Vaccine in Pregnant Women: Views and Experiences of Obstetrician-Gynecologists. J Women’s Health. 2021;30(8):1086–94. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Fabiani M, Bella A, Rota MC, Clagnan E, Gallo T, D’Amato M, Pezzotti P, Ferrara L, Demicheli V, Martinelli D, et al. A/H1N1 pandemic influenza vaccination: A retrospective evaluation of adverse maternal, fetal and neonatal outcomes in a cohort of pregnant women in Italy. Vaccine. 2015;33(19):2240–7. [DOI] [PubMed] [Google Scholar]
  • 13.Madhi SA, Nunes MC, Cutland CL. Influenza vaccination of pregnant women and protection of their infants. N Engl J Med. 2014;371(24):2340. [DOI] [PubMed] [Google Scholar]
  • 14.Pasternak B, Svanström H, Mølgaard-Nielsen D, Krause TG, Emborg HD, Melbye M, Hviid A. Risk of adverse fetal outcomes following administration of a pandemic influenza A(H1N1) vaccine during pregnancy. JAMA. 2012;308(2):165–74. [DOI] [PubMed] [Google Scholar]
  • 15.Chambers CD, Johnson D, Xu R, Luo Y, Louik C, Mitchell AA, Schatz M, Jones KL. Risks and safety of pandemic H1N1 influenza vaccine in pregnancy: birth defects, spontaneous abortion, preterm delivery, and small for gestational age infants. Vaccine. 2013;31(44):5026–32. [DOI] [PubMed] [Google Scholar]
  • 16.Giles ML, Krishnaswamy S, Macartney K, Cheng A. The safety of inactivated influenza vaccines in pregnancy for birth outcomes: a systematic review. Hum Vaccin Immunother. 2019;15(3):687–99. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Polyzos KA, Konstantelias AA, Pitsa CE, Falagas ME. Maternal Influenza Vaccination and Risk for Congenital Malformations: A Systematic Review and Meta-analysis. Obstet Gynecol. 2015;126(5):1075–84. [DOI] [PubMed] [Google Scholar]
  • 18.Lu QC, Zhang TY, Bundhun PK, Chen C. One misunderstood health issue: demonstrating and communicating the safety of influenza a vaccination in pregnancy: a systematic review and meta-analysis. BMC Public Health. 2021;21(1):703. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372:n71. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Wells G, Shea B, O’Connell J. The Newcastle-Ottawa Scale (NOS) for Assessing The Quality of Nonrandomised Studies in Meta-analyses. Ott Health Res Inst Web site. 2014;7.
  • 21.World Health Organization. Management of birth defects and haemoglobin disorders: report of a joint WHO-March of Dimes meeting, Geneva, Switzerland, 17–19. May.2006. https://www.who.int/publications/i/item/9789241594929. Accessed 3 April 2024.
  • 22.Bergman JEH, Perraud A, Barišić I, Kinsner-Ovaskainen A, Morris JK, Tucker D, Wellesley D, Garne E. Updated EUROCAT guidelines for classification of cases with congenital anomalies. Birth Defects Res. 2024;116(2):e2314. [DOI] [PubMed] [Google Scholar]
  • 23.Nwoji U. Seasonal influenza vaccine exposure in pregnancy: 5-year results from a pregnancy registry. Hum Vaccin Immunother. 2022;18(1):1932213. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Duval S, Tweedie R. Trim and fill: A simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis. Biometrics. 2000;56(2):455–63. [DOI] [PubMed] [Google Scholar]
  • 25.Deinard AS, Ogburn P. Jr. A/NJ/8/76 influenza vaccination program: effects on maternal health and pregnancy outcome. Am J Obstet Gynecol. 1981;140(3):240–5. [DOI] [PubMed] [Google Scholar]
  • 26.Källén B, Olausson PO. Vaccination against H1N1 influenza with Pandemrix(®) during pregnancy and delivery outcome: a Swedish register study. BJOG. 2012;119(13):1583–90. [DOI] [PubMed] [Google Scholar]
  • 27.Ludvigsson JF, Ström P, Lundholm C, Cnattingius S, Ekbom A, Örtqvist Å, Feltelius N, Granath F, Stephansson O. Risk for Congenital Malformation With H1N1 Influenza Vaccine: A Cohort Study With Sibling Analysis. Ann Intern Med. 2016;165(12):848–55. [DOI] [PubMed] [Google Scholar]
  • 28.Moro P, Baumblatt J, Lewis P, Cragan J, Tepper N, Cano M. Surveillance of Adverse Events After Seasonal Influenza Vaccination in Pregnant Women and Their Infants in the Vaccine Adverse Event Reporting System, July 2010-May 2016. Drug Saf. 2017;40(2):145–52. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Moro PL, Marquez P. Reports of cell-based influenza vaccine administered during pregnancy in the Vaccine Adverse Event Reporting System (VAERS), 2013–2020. Vaccine. 2021;39(4):678–81. [DOI] [PubMed] [Google Scholar]
  • 30.Peppa M, Thomas SL, Minassian C, Walker JL, McDonald HI, Andrews NJ, Kempley ST, Mangtani P. Seasonal Influenza Vaccination During Pregnancy and the Risk of Major Congenital Malformations in Live-born Infants: A 2010–2016 Historical Cohort Study. Clin Infect Dis. 2021;73(11):e4296–304. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Sheffield JS, Greer LG, Rogers VL, Roberts SW, Lytle H, McIntire DD, Wendel GD. Jr. Effect of influenza vaccination in the first trimester of pregnancy. Obstet Gynecol. 2012;120(3):532–7. [DOI] [PubMed] [Google Scholar]
  • 32.Tavares F, Nazareth I, Monegal JS, Kolte I, Verstraeten T, Bauchau V. Pregnancy and safety outcomes in women vaccinated with an AS03-adjuvanted split virion H1N1 (2009) pandemic influenza vaccine during pregnancy: a prospective cohort study. Vaccine. 2011;29(37):6358–65. [DOI] [PubMed] [Google Scholar]
  • 33.Mackenzie IS, MacDonald TM, Shakir S, Dryburgh M, Mantay BJ, McDonnell P, Layton D. Influenza H1N1 (swine flu) vaccination: a safety surveillance feasibility study using self-reporting of serious adverse events and pregnancy outcomes. Br J Clin Pharmacol. 2012;73(5):801–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Robinson C, Van Boxmeer J, Tilson H, Scialli A, Vanchiere JA, Ides E, Sawlwin D, Molrine D, Hohenboken M, Edelman J et al. Outcomes in Pregnant Persons Immunized with a Cell-Based Quadrivalent Inactivated Influenza Vaccine: A Prospective Observational Cohort Study. Vaccines (Basel). 2022;10(10). [DOI] [PMC free article] [PubMed]
  • 35.Robinson C, Oberye J, van Boxmeer J, Albano JD, Tilson H, Scialli A, Vanchiere JA, Ides E, Sawlwin D, Hohenboken M et al. A Prospective Cohort Study on Pregnancy Outcomes of Persons Immunized with a Seasonal Quadrivalent Inactivated Influenza Vaccine during Pregnancy. Vaccines (Basel). 2022;10(10). [DOI] [PMC free article] [PubMed]
  • 36.Ohfuji S, Deguchi M, Tachibana D, Koyama M, Takagi T, Yoshioka T, Urae A, Ito K, Kase T, Maeda A, et al. Safety of influenza vaccination on adverse birth outcomes among pregnant women: A prospective cohort study in Japan. Int J Infect Dis. 2020;93:68–76. [DOI] [PubMed] [Google Scholar]
  • 37.Kharbanda EO, Vazquez-Benitez G, Romitti PA, Naleway AL, Cheetham TC, Lipkind HS, Klein NP, Lee G, Jackson ML, Hambidge SJ, et al. First Trimester Influenza Vaccination and Risks for Major Structural Birth Defects in Offspring. J Pediatr. 2017;187:234–e239234. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Auffret M, Béné J, Gautier S, Moreau-Crépeaux S, Caron J. Pharmacovigilance monitoring of a cohort of pregnant women vaccinated against influenza A(H1N1) variant virus in the Nord-Pas de Calais region of northern France. Eur J Obstet Gynecol Reprod Biol. 2013;170(1):114–8. [DOI] [PubMed] [Google Scholar]
  • 39.Huang WT, Tang FW, Yang SE, Chih YC, Chuang JH. Safety of inactivated monovalent pandemic (H1N1) 2009 vaccination during pregnancy: a population-based study in Taiwan. Vaccine. 2014;32(48):6463–8. [DOI] [PubMed] [Google Scholar]
  • 40.Cleary BJ, Rice Ú, Eogan M, Metwally N, McAuliffe F. 2009 A/H1N1 influenza vaccination in pregnancy: uptake and pregnancy outcomes - a historical cohort study. Eur J Obstet Gynecol Reprod Biol. 2014;178:163–168. [DOI] [PubMed]
  • 41.de Vries L, van Hunsel F, Cuppers-Maarschalkerweerd B, van Puijenbroek E, van Grootheest K. Adjuvanted A/H1N1 (2009) influenza vaccination during pregnancy: description of a prospective cohort and spontaneously reported pregnancy-related adverse reactions in the Netherlands. Birth Defects Res Clin Mol Teratol. 2014;100(10):731–8. [DOI] [PubMed] [Google Scholar]
  • 42.Heikkinen T, Young J, van Beek E, Franke H, Verstraeten T, Weil JG, Della Cioppa G. Safety of MF59-adjuvanted A/H1N1 influenza vaccine in pregnancy: a comparative cohort study. Am J Obstet Gynecol. 2012;207(3):e177171–178. [DOI] [PubMed] [Google Scholar]
  • 43.Palmsten K, Suhl J, Conway KM, Kharbanda EO, Ailes EC, Cragan JD, Nestoridi E, Papadopoulos EA, Kerr SM, Young SG, et al. Influenza vaccination during pregnancy and risk of selected major structural noncardiac birth defects, National Birth Defects Prevention Study 2006–2011. Pharmacoepidemiol Drug Saf. 2022;31(8):851–62. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Palmsten K, Suhl J, Conway KM, Kharbanda EO, Scholz TD, Ailes EC, Cragan JD, Nestoridi E, Papadopoulos EA, Kerr SM, et al. Influenza vaccination during pregnancy and risk of selected major structural congenital heart defects, National Birth Defects Prevention Study 2006–2011. Birth Defects Res. 2023;115(1):88–95. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Chambers CD, Johnson DL, Xu R, Luo YJ, Louik C, Mitchell AA, Schatz M, Jones KL. Safety of the 2010-11, 2011-12, 2012-13, and 2013-14 seasonal influenza vaccines in pregnancy: Birth defects, spontaneous abortion, preterm delivery, and small for gestational age infants, a study from the cohort arm of VAMPSS. Vaccine. 2016;34(37):4443–9. [DOI] [PubMed] [Google Scholar]
  • 46.Sarna M, Pereira GF, Foo D, Baynam GS, Regan AK. The risk of major structural birth defects associated with seasonal influenza vaccination during pregnancy: A population-based cohort study. Birth Defects Res. 2022;114(19):1244–56. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Louik C, Ahrens K, Kerr S, Pyo J, Chambers C, Jones KL, Schatz M, Mitchell AA. Risks and safety of pandemic H1N1 influenza vaccine in pregnancy: exposure prevalence, preterm delivery, and specific birth defects. Vaccine. 2013;31(44):5033–40. [DOI] [PubMed] [Google Scholar]
  • 48.Louik C, Kerr S, Van Bennekom CM, Chambers C, Jones KL, Schatz M, Mitchell AA. Safety of the 2011-12, 2012-13, and 2013-14 seasonal influenza vaccines in pregnancy: Preterm delivery and specific malformations, a study from the case-control arm of VAMPSS. Vaccine. 2016;34(37):4450–9. [DOI] [PubMed] [Google Scholar]
  • 49.Oppermann M, Fritzsche J, Weber-Schoendorfer C, Keller-Stanislawski B, Allignol A, Meister R, Schaefer C. A(H1N1)v2009: a controlled observational prospective cohort study on vaccine safety in pregnancy. Vaccine. 2012;30(30):4445–52. [DOI] [PubMed] [Google Scholar]
  • 50.Horiya M, Hisano M, Iwasaki Y, Hanaoka M, Watanabe N, Ito Y, Kojima J, Sago H, Murashima A, Kato T, et al. Efficacy of double vaccination with the 2009 pandemic influenza A (H1N1) vaccine during pregnancy. Obstet Gynecol. 2011;118(4):887–94. [DOI] [PubMed] [Google Scholar]
  • 51.Mohammed H, Roberts CT, Grzeskowiak LE, Giles LC, Dekker GA, Marshall HS. Safety and protective effects of maternal influenza vaccination on pregnancy and birth outcomes: A prospective cohort study. EClinicalMedicine. 2020;26:100522. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Chavant F, Ingrand I, Jonville-Bera AP, Plazanet C, Gras-Champel V, Lagarce L, Zenut M, Disson-Dautriche A, Logerot S, Auffret M, et al. The PREGVAXGRIP study: a cohort study to assess foetal and neonatal consequences of in utero exposure to vaccination against A(H1N1)v2009 influenza. Drug Saf. 2013;36(6):455–65. [DOI] [PubMed] [Google Scholar]
  • 53.Lin TH, Lin SY, Lin CH, Lin RI, Lin HC, Chiu TH, Cheng PJ, Lee CN. AdimFlu-S(®) influenza A (H1N1) vaccine during pregnancy: the Taiwanese Pharmacovigilance Survey. Vaccine. 2012;30(16):2671–5. [DOI] [PubMed] [Google Scholar]
  • 54.Jeong S, Jang EJ, Jo J, Jang S. Effects of maternal influenza vaccination on adverse birth outcomes: A systematic review and Bayesian meta-analysis. PLoS ONE. 2019;14(8):e0220910. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Zhang C, Wang X, Liu D, Zhang L, Sun X. A systematic review and meta-analysis of fetal outcomes following the administration of influenza A/H1N1 vaccination during pregnancy. Int J Gynaecol Obstet. 2018;141(2):141–50. [DOI] [PubMed] [Google Scholar]
  • 56.Etti M, Calvert A, Galiza E, Lim S, Khalil A, Le Doare K, Heath PT. Maternal vaccination: a review of current evidence and recommendations. Am J Obstet Gynecol. 2022;226(4):459–74. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Wolfe DM, Fell D, Garritty C, Hamel C, Butler C, Hersi M, Ahmadzai N, Rice DB, Esmaeilisaraji L, Michaud A, et al. Safety of influenza vaccination during pregnancy: a systematic review. BMJ Open. 2023;13(9):e066182. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Collaborators GU-M. Global, regional, and national progress towards Sustainable Development Goal 3.2 for neonatal and child health: all-cause and cause-specific mortality findings from the Global Burden of Disease Study 2019. Lancet. 2021;398(10303):870–905. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Conlin AMS, Bukowinski AT, Levine JA, Khodr ZG, Kaur N, Farrish SC, Sevick CJ. A follow-up comparative safety analysis of pandemic H1N1 vaccination during pregnancy and risk of infant birth defects among U.S. military mothers. Vaccine. 2018;36(20):2855–60. [DOI] [PubMed] [Google Scholar]

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Supplementary Materials

Supplementary Material 1. (16.6KB, docx)

Data Availability Statement

Data is provided within the manuscript or supplementary information files.


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