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. 2021 Jun 8;325(22):2285–2293. doi: 10.1001/jama.2021.6778

Association of Maternal Influenza Vaccination During Pregnancy With Early Childhood Health Outcomes

Azar Mehrabadi 1,2, Linda Dodds 1,2, Noni E MacDonald 2, Karina A Top 2, Eric I Benchimol 3,4,5, Jeffrey C Kwong 5,6,7,8, Justin R Ortiz 9, Ann E Sprague 10,11, Laura K Walsh 12, Kumanan Wilson 13,14, Deshayne B Fell 5,11,12,
PMCID: PMC8188273  PMID: 34100870

Key Points

Question

Is seasonal influenza vaccination in pregnancy associated with adverse childhood health outcomes?

Findings

In this population-based retrospective cohort study that used inverse probability of treatment weighting and included 28 255 children with a mean duration of follow-up of 3.6 years, maternal influenza vaccination during pregnancy was not significantly associated with the risk of immune-related health outcomes (eg, asthma, infections) non–immune-related outcomes (eg, neoplasms, sensory impairment), or nonspecific health outcomes (eg, emergency visits, hospitalizations).

Meaning

Seasonal influenza vaccination in pregnancy was not significantly associated with adverse early childhood health outcomes among offspring.

Abstract

Importance

Seasonal influenza vaccination in pregnancy can reduce influenza illness among pregnant women and newborns. Evidence is limited on whether seasonal influenza vaccination in pregnancy is associated with adverse childhood health outcomes.

Objective

To assess the association between maternal influenza vaccination during pregnancy and early childhood health outcomes.

Design, Setting, and Participants

Retrospective cohort study, using a birth registry linked with health administrative data. All live births in Nova Scotia, Canada, between October 1, 2010, and March 31, 2014, were included, with follow-up until March 31, 2016. Adjusted hazard ratios (HRs) and incidence rate ratios (IRRs) with 95% confidence intervals were estimated while controlling for maternal medical history and other potential confounders using inverse probability of treatment weighting.

Exposures

Seasonal influenza vaccination during pregnancy.

Main Outcomes and Measures

Childhood outcomes studied were immune-related (eg, asthma, infections), non–immune-related (eg, neoplasms, sensory impairment), and nonspecific (eg, urgent or inpatient health care utilization), measured from emergency department and hospitalization databases.

Results

Among 28 255 children (49% female, 92% born at ≥37 weeks’ gestation), 10 227 (36.2%) were born to women who received seasonal influenza vaccination during pregnancy. During a mean follow-up of 3.6 years, there was no significant association between maternal influenza vaccination and childhood asthma (incidence rate, 3.0 vs 2.5 per 1000 person-years; difference, 0.53 per 1000 person-years [95% CI, −0.15 to 1.21]; adjusted HR, 1.22 [95% CI, 0.94 to 1.59]), neoplasms (0.32 vs 0.26 per 1000 person-years; difference, 0.06 per 1000 person-years [95% CI, −0.16 to 0.28]; adjusted HR, 1.26 [95% CI, 0.57 to 2.78]), or sensory impairment (0.80 vs 0.97 per 1000 person-years; difference, −0.17 per 1000 person-years [95% CI, −0.54 to 0.21]; adjusted HR, 0.82 [95% CI, 0.49 to 1.37]). Maternal influenza vaccination in pregnancy was not significantly associated with infections in early childhood (incidence rate, 184.6 vs 179.1 per 1000 person-years; difference, 5.44 per 1000 person-years [95% CI, 0.01 to 10.9]; adjusted IRR, 1.07 [95% CI, 0.99 to 1.15]) or with urgent and inpatient health services utilization (511.7 vs 477.8 per 1000 person-years; difference, 33.9 per 1000 person-years [95% CI, 24.9 to 42.9]; adjusted IRR, 1.05 [95% CI, 0.99 to 1.16]).

Conclusions and Relevance

In this population-based cohort study with mean follow-up duration of 3.6 years, maternal influenza vaccination during pregnancy was not significantly associated with an increased risk of adverse early childhood health outcomes.


This population-based cohort study uses a birth registry linked with health administrative data to assess the association between maternal influenza vaccination during pregnancy and early childhood health outcomes in Nova Scotia, Canada.

Introduction

Seasonal influenza affects approximately 5% to 10% of adults and 20% to 30% of children around the world annually.1 Pregnant women are not more susceptible to acquiring influenza infection but, once infected, are at an increased risk of severe influenza illness and related complications.2,3,4 Maternal influenza infection, particularly during the 2009 influenza A(H1N1) virus ([H1N1]pdm09) pandemic, has also been associated with an increased risk of fetal death and preterm birth.5,6

Seasonal influenza vaccination during pregnancy is an important public health intervention aimed at preventing maternal and neonatal influenza illness.7 Despite benefits of seasonal influenza vaccination in pregnancy, including newborn protection in the first months after birth,8 uptake remains low in many settings.9 Safety concerns are reported as a leading reason women do not receive influenza vaccination in pregnancy.10 Observational studies have not found an association between influenza vaccination during pregnancy and adverse fetal or perinatal outcomes11,12; however, few studies have investigated later childhood health outcomes,13 and this remains an evidence gap.14 The fetus may be sensitive to maternal immune responses during critical periods of development; vaccine exposure in utero may, therefore, be associated with later immune-related or other health outcomes in offspring.15 The purpose of this study was to assess the association between seasonal influenza vaccination in pregnancy and long-term immune-related or other childhood health outcomes.

Methods

Ethics approval was obtained from the IWK Health Centre research ethics board, which granted an exemption for informed consent. The study was further approved by the Joint Data Access and Health Data Nova Scotia access committees.

Study Design and Data Sources

We conducted a population-based retrospective cohort study using the Nova Scotia Atlee Perinatal Database linked with hospitalization and physician billing records. The Atlee Database contains demographic information, prenatal risk factors, diagnoses, and procedures for every birth 500 g or greater and 20 weeks’ gestation or longer in Nova Scotia, Canada. Trained personnel abstract information from antenatal and medical charts, and a data quality program ensures data quality.16,17 The hospitalization database includes all emergency department and inpatient health care contacts for the province, recorded using the International Classification of Diseases, Tenth Revision, Canadian modification (ICD-10-CA) coding system. There are approximately 10 000 live births per year in Nova Scotia within a publicly funded universal health care system, ensuring data capture for all residents.

Study Population and Follow-up

The study population consisted of all live births from October 1, 2010, to March 31, 2014, whose records linked with health administrative databases. Follow-up began on each child’s date of birth and continued until either death, migration out of the province, or March 31, 2016 (end of the study period), whichever occurred first. For analysis of time-to-event outcomes (ie, asthma, neoplasms, sensory impairment), the end of follow-up was the event date for those experiencing the outcome. A graphical depiction of the study design is presented in eFigure 1 in the Supplement.

Exposure

Seasonal influenza vaccination in pregnancy was ascertained from the Atlee and physician billing databases (eTable 1 in the Supplement). The Atlee Database began capturing influenza vaccination during pregnancy in the 2010-2011 influenza season. This information is collected by clinicians during routine prenatal care, based on either patient self-report (eg, if the vaccine was received elsewhere between prenatal care visits) or on vaccination at the prenatal clinic. The physician billing database records fee codes for influenza vaccination administered during an office visit. We ascertained vaccination status predominantly through the physician billing data (81% of the vaccinated group). The influenza vaccines used during the study period were unadjuvanted trivalent inactivated influenza vaccines, consisting of 2 type A strains and 1 type B strain; no product-specific information was available in the study databases.

Outcomes

Although outcomes proximal to birth are assessed according to internationally accepted standards following immunization during pregnancy,18,19 no guidance exists for monitoring later pediatric health outcomes. We prespecified immune-related outcomes (asthma, infections), as the fetal immune system may be sensitive to maternal immunization, with potential for beneficial or deleterious associations later in life through immunologic memory.15,20 We additionally included non–immune-related (neoplasms, sensory impairment) and nonspecific outcomes (all-cause emergency department visits and hospitalizations) that have been the focus of other maternal immunization studies.21,22

Exposure and covariate assessment were based on maternal records, while childhood outcomes were ascertained from children’s records (eFigure 1 in the Supplement). We measured outcomes using ICD-10-CA diagnostic codes from emergency department visits and hospitalizations (eTable 2 in the Supplement). Measurement of pediatric asthma was based on a modification of a previously validated algorithm (sensitivity, 89%; specificity, 72%) and consisted of at least 2 emergency department visits or 1 hospitalization for asthma, at age 6 months or older.23 Other outcomes were based on 1 or more diagnoses received during an emergency department visit or a hospitalization. Infectious outcomes included upper and lower respiratory tract infections, gastrointestinal infections, and otitis media, as well as a composite comprised of the total of these infections. Neoplasm was defined as any abnormal growth of body cells or tissues, and sensory impairment included hearing or vision loss. We prespecified a negative control outcome (all-cause injuries) to help detect any biases or spurious associations; this outcome shares similar potential sources of bias as other study outcomes but is not plausibly related to influenza vaccination during pregnancy.24

Covariates

A broad range of potential confounders and their proxies were included in propensity scores to account for confounding. Included were maternal age at childbirth, parity, maternal smoking, multifetal gestation, preexisting maternal conditions (heart disease, pulmonary disease, asthma, renal disease, psychiatric illness), rural residence, neighborhood-level mean family income, gestational age at birth in weeks, infant sex, season and year of conception, type of clinician at delivery (proxy for the clinician that provided antenatal care), and district health authority.

Statistical Analyses

Distributions of baseline variables, stratified by influenza vaccination during pregnancy, were summarized using frequency distributions and compared using standardized differences, for which an absolute standardized difference less than 0.1 was considered to indicate a well-balanced covariate.25 A propensity score for each child was developed using logistic regression to estimate the predicted probability of maternal influenza vaccination during pregnancy, conditional on all covariates listed in Table 1. The propensity scores were generated from 10 imputed data sets to account for less than 1% missing data; all covariates shown in Table 1 were included in imputation models using chained equations.26 We calculated inverse probability of treatment weights as the inverse of the propensity score for children exposed to maternal influenza vaccination during pregnancy (exposed group) and the inverse of 1 minus the propensity score for the unexposed children. We stabilized the weights to account for extreme values and reassessed the balance of covariates after weighting using standardized differences.25,27

Table 1. Baseline Characteristics of the Study Population by Influenza Vaccination During Pregnancy.

Characteristic Influenza vaccination during pregnancy
Unweighted IPTW weighted
No. (%) Standardized difference % Standardized difference
Yes (n = 10 227) No (n = 18 028) Yes No
Maternal age, y
<20 533 (5.2) 1033 (5.7) 0.02 5.2 5.5 0.02
20-24 1655 (16.2) 3550 (19.7) 0.09 18.2 18.4 0.004
25-29 2863 (28.0) 5200 (28.8) 0.02 29.2 28.6 0.01
30-34 3359 (32.8) 5255 (29.1) 0.08 30.6 30.5 0.002
≥35 1817 (17.8) 2990 (16.6) 0.03 16.8 17.0 0.005
Parity
0 (nulliparous) 4935 (48.3) 8011 (44.4) 0.08 45.6 45.8 0.003
≥1 (multiparous) 5292 (51.7) 10 017 (55.6) 0.08 54.4 54.2 0.003
Former or current smoker
No 8569 (83.8) 14 136 (78.4) 0.14 80.3 80.4 0.001
Yes 1658 (16.2) 3892 (21.6) 0.14 19.7 19.6 0.001
Multifetal gestation
No 10 005 (97.8) 17 304 (96.0) 0.11 96.5 96.6 0.007
Yes 222 (2.2) 724 (4.0) 0.11 3.5 3.4 0.007
Preexisting maternal medical conditions
Psychiatric illness 1210 (11.8) 2039 (11.3) 0.02 11.6 11.5 0.001
Pulmonary disease 844 (8.3) 1167 (6.5) 0.07 7.2 7.1 0.002
Asthma 821 (8.0) 1126 (6.2) 0.07 7.0 6.9 0.002
Kidney disease 719 (7.0) 1171 (6.5) 0.02 7.0 6.7 0.010
Heart disease 68 (0.66) 118 (0.65) 0.001 0.69 0.66 0.003
Rural residence
No 7761 (75.9) 12 650 (70.2) 0.13 71.6 72.1 0.01
Yes 2466 (24.1) 5378 (29.8) 0.13 28.4 27.9 0.01
Mean family income by neighborhood
1 (lowest) 1798 (17.6) 3835 (21.3) 0.09 20.0 20.0 0.002
2 1792 (17.5) 3795 (21.1) 0.09 19.7 19.8 0.002
3 2012 (19.7) 3614 (20.0) 0.01 20.3 20.0 0.008
4 2199 (21.5) 3395 (18.8) 0.07 19.7 19.7 <0.001
5 (highest) 2367 (23.1) 3267 (18.1) 0.12 19.7 19.9 0.005
Missing 59 (0.58) 122 (0.68) 0.01 0.5 0.6 0.01
Gestational age at birth, wk
<28 23 (0.22) 78 (0.43) 0.04 0.35 0.36 <0.001
28-31 50 (0.49) 142 (0.79) 0.04 0.83 0.69 0.02
32-33 64 (0.63) 187 (1.0) 0.05 0.93 0.89 0.004
34-36 534 (5.2) 1144 (6.3) 0.05 5.8 5.9 0.005
≥37 9556 (93.4) 16 477 (91.4) 0.08 92.1 92.1 0.002
Infant sex
Female 5016 (49.0) 8834 (49.0) 0.001 49.0 49.1 0.001
Male 5211 (51.0) 9194 (51.0) 0.001 51.0 50.9 0.001
Conception season
Spring 3537 (34.6) 4298 (23.8) 0.24 27.9 27.7 0.005
Summer 2892 (28.3) 3469 (19.2) 0.21 22.6 22.6 <0.001
Fall 1699 (16.6) 4786 (26.5) 0.24 23.6 23.1 0.01
Winter 2099 (20.5) 5475 (30.4) 0.23 25.9 26.7 0.02
Year of conception
2009 10 (0.10) 106 (0.59) 0.08 0.46 0.41 0.01
2010 3058 (29.9) 5205 (28.9) 0.02 29.3 29.2 0.002
2011 3058 (29.9) 5085 (28.2) 0.04 29.0 28.9 0.003
2012 2811 (27.5) 5199 (28.8) 0.03 28.1 28.3 0.005
2013 1290 (12.6) 2433 (13.5) 0.03 13.1 13.1 0.002
Clinician at delivery
Family practitioner 5413 (52.9) 7259 (40.3) 0.26 44.6 44.7 0.002
Obstetrician 4727 (46.2) 10 285 (57.1) 0.22 53.4 53.2 0.004
Midwife 72 (0.70) 362 (2.0) 0.11 1.7 1.5 0.01
Missing 15 (0.15) 122 (0.68) 0.08 0.35 0.52 0.03
District health authority
Bridgewater 355 (3.5) 1057 (5.9) 0.11 5.3 5.0 0.01
Yarmouth 629 (6.2) 834 (4.6) 0.07 5.1 5.2 0.003
Kentville 910 (8.9) 1464 (8.1) 0.03 8.7 8.5 0.01
Truro 836 (8.2) 1682 (9.3) 0.04 8.8 8.9 0.003
Amherst 105 (1.0) 676 (3.7) 0.18 2.7 2.8 0.01
New Glasgow 266 (2.6) 1044 (5.8) 0.16 4.5 4.6 0.01
Antigonish 415 (4.1) 764 (4.2) 0.01 4.5 4.2 0.01
Cape Breton 1029 (10.1) 2412 (13.4) 0.10 12.3 12.2 0.004
Halifax 5668 (55.4) 8073 (44.8) 0.21 47.9 48.4 0.01
Missing 14 (0.14) 22 (0.12) 0.004 0.13 0.12 0.003

Abbreviation: IPTW, inverse probability of treatment weights.

Unadjusted incidence rates per 1000 person-years and crude rate differences with 95% confidence intervals, comparing vaccinated and unvaccinated groups, were computed for all outcomes. Cox proportional hazards models incorporating the inverse probability of treatment weights from each of the 10 imputed data sets were used to model time-to-event outcomes (asthma, neoplasms, sensory impairment), with the underlying time axis as the time in days since birth. Proportional hazards assumptions were met based on examining Schoenfeld residual plots and Wald tests for interactions between exposure status and time. To account for potential data overdispersion, negative binomial regression models, incorporating the inverse probability of treatment weights from each imputation data set, were used for outcomes analyzed as rates (infections, urgent and inpatient health services utilization, all-cause injuries). Each model included the total number of occurrences of each outcome as the dependent variable, with an offset of the log of person-years. Adjusted point estimates were combined across imputed data sets to produce a single estimate. We included a robust variance estimator in all models to account for correlation among siblings, and precision around point estimates was provided using 2-sided 95% CIs. Because of the potential for type I error due to multiple comparisons, study findings should be interpreted as exploratory.

We performed post hoc subgroup analyses by trimester of vaccination; information on timing of vaccination was obtained from the physician billing data for 81% of the exposed group (8272/10 227 vaccinated) and trimester of vaccination was imputed for the remaining 19% (summary of the imputation approach is provided in the eMethods in the Supplement). Several sensitivity analyses were conducted to assess the robustness of the findings. We added maternal asthma as an additional covariate in weighted outcome models and, separately, gestational age in days to assess whether results were sensitive to using a continuous measure; we applied 3 types of trimming to the inverse probability of treatment weights (excluding those lying outside of the 0.01 to 99.9th percentiles, 0.05 to 99.5th percentiles, and 1st to 99th percentiles); and, in separate models, we adjusted for maternal obstetric conditions affecting pregnancy (described in eTable 3 in the Supplement) and maternal influenza illness during pregnancy. Analyses were conducted using SAS version 9.4 (SAS Institute Inc).

Results

Among 28 356 eligible live births, 95 (0.32%) were excluded because of an infant death occurring on the date of birth and 6 (0.02%) because of missing parity or rural residence information, leaving 28 255 children (eFigure 2 in the Supplement). Almost all children (93.4%) were followed up to the end of the study period, ranging from a minimum of 2 years to a maximum of 5.5 years (mean, 3.6 years [SD, 1.1 years]); 69 children (0.2%) were censored because of death. A total of 10 227 children (36.2%) were exposed to influenza vaccination in utero; these children were more likely than unexposed children to be born to mothers who were 35 years or older (17.8% vs 16.6%), nulliparous (48.3% vs 44.4%), had a preexisting medical condition (eg, pulmonary disease, 8.3% vs 6.5%; asthma, 8.0% vs 6.2%), and who had a family physician attending their delivery (52.9% vs 40.3%). Children born to vaccinated mothers were less likely to be born to current or former smokers (16.2% vs 21.6%) and less likely to be born within the lowest neighborhood mean family income quintile (17.6% vs 21.3%) compared with the unexposed group (Table 1). After propensity score weighting, baseline characteristics of the study population were well-balanced across exposure groups and all standardized differences were less than 0.1.

There was no significant association between influenza vaccination during pregnancy and pediatric asthma (incidence rate, 3.0 vs 2.5 per 1000 person-years; difference, 0.53 per 1000 person-years [95% CI, −0.15 to 1.21]; adjusted hazard ratio [HR], 1.22 [95% CI, 0.94 to 1.59]), neoplasms (0.32 vs 0.26 per 1000 person-years; difference, 0.06 per 1000 person-years [95% CI, −0.16 to 0.28]; adjusted HR, 1.26 [95% CI, 0.57 to 2.78]), or sensory impairment (0.80 vs 0.97 per 1000 person-years; difference, −0.17 per 1000 person-years [95% CI, −0.54 to 0.21]; adjusted HR, 0.82 [95% CI, 0.49 to 1.37]) (Table 2).

Table 2. Association Between Seasonal Influenza Vaccination in Pregnancy and Pediatric Health Outcomes Among 28 255 Children in Nova Scotia, Canada.

Outcome Influenza vaccination during pregnancy Crude rate difference per 1000 person-years (95% CI) Estimate (95% CI)
Yes (n = 10 227) No (n = 18 028) Crude Adjusteda
No. of events Incidence rate per 1000 person-years (95% CI) No. of events Incidence rate per 1000 person-years (95% CI)
Immune-related outcomes
Atopic disease (asthma)b 113 3.0 (2.5-3.6) 162 2.5 (2.1-2.9) 0.53 (−0.15 to 1.21) 1.20 (0.95-1.53) 1.22 (0.94-1.59)
Infectious disease
Respiratory tract infectionsc
Upper 3170 84.7 (81.8-87.7) 5422 83.5 (81.3-85.7) 1.25 (−2.25 to 4.94) 1.01 (0.95-1.08) 1.03 (0.94-1.12)
Lower 1348 36.0 (34.2-38.0) 2355 36.3 (34.8-37.8) −0.23 (−2.65 to 2.19) 0.99 (0.91-1.08) 1.11 (0.99-1.24)
Gastrointestinal infectionsc 1129 30.2 (28.5-32.0) 1816 28.0 (26.7-29.3) 2.22 (0.04 to 4.40) 1.08 (0.99-1.18) 1.04 (0.94-1.15)
Otitis mediac 1684 45.0 (42.9-45.4) 2841 43.7 (42.2-45.4) 1.27 (−1.42 to 3.95) 1.03 (0.95-1.11) 1.10 (1.00-1.22)
All infectionsc,d 6906 184.6 (180.3-189.0) 11 635 179.1 (175.9-182.4) 5.44 (0.01 to 10.9) 1.03 (0.98-1.08) 1.07 (0.99-1.15)
Non–immune-related outcomes
Neoplasmsb 12 0.32 (0.18-0.57) 17 0.26 (0.16-0.42) 0.06 (−0.16 to 0.28) 1.22 (0.58-2.56) 1.26 (0.57-2.78)
Sensory impairment (hearing or vision loss)b 30 0.80 (0.56-1.15) 63 0.97 (0.76-1.24) −0.17 (−0.54 to 0.21) 0.84 (0.54-1.30) 0.82 (0.49-1.37)
Nonspecific outcomes
Urgent and inpatient health services utilizationc 19 146 511.7 (504.5-519.0) 31 035 477.8 (472.6-483.2) 33.9 (24.9 to 42.9) 1.07 (1.03-1.11) 1.05 (0.99-1.16)
Negative control outcome
All-cause injuriesc 2640 70.6 (67.9-73.3) 4118 63.4 (61.5-65.4) 7.16 (3.84 to 10.5) 1.11 (1.05-1.18) 1.05 (0.97-1.13)
a

Adjusted using stabilized inverse probability of treatment weights.

b

Number of events represents the total number of children diagnosed with the outcome. Incidence rates are based on the full study population. Point estimates are hazard ratios generated from a Cox proportional hazards model.

c

Number of events represents the total number of occurrences for each outcome. Incidence rates are based on the full study population. Point estimates are incidence rate ratios generated from a negative binomial regression model.

d

Composite of upper respiratory tract infections, lower respiratory tract infections, gastrointestinal infections, and otitis media.

After adjustment for confounding, exposure to influenza vaccination in utero was not significantly associated with overall infections (incidence rate, 184.6 vs 179.1 per 1000 person-years; difference, 5.44 per 1000 person-years [95% CI, 0.01 to 10.9]; adjusted incidence rate ratio [IRR], 1.07 [95% CI, 0.99 to 1.15]), urgent and inpatient health services utilization (511.7 vs 477.8 per 1000 person-years; difference, 33.9 per 1000 person-years [95% CI, 24.9 to 42.9]; adjusted IRR, 1.05 [95% CI, 0.99 to 1.16]), or with the negative control outcome (70.6 vs 63.4 per 1000 person-years; difference, 7.16 per 1000 person-years [95% CI, 3.84 to 10.5]; adjusted IRR, 1.05 [95% CI, 0.97 to 1.13]).

There was no statistically significant difference in crude incidence rates of upper and lower respiratory tract infections and otitis media between vaccine-exposed and unexposed children (Table 2). Crude rates of gastrointestinal infections were 30.2 vs 28.0 per 1000 person-years among children born to vaccinated vs unvaccinated mothers (crude rate difference, 2.22 per 1000 person-years [95% CI, 0.04 to 4.40]; however, there was no statistically significant association (adjusted IRR, 1.04 [95% CI, 0.94 to 1.15]).

Overall, results in the post hoc analyses by trimester of vaccination were not qualitatively different from the primary analyses (Figure). Although the magnitude and direction of the point estimate were similar to the primary analysis, third-trimester influenza vaccination was significantly associated with lower respiratory tract infection in this post hoc subgroup analysis (adjusted IRR, 1.19 [95% CI, 1.01 to 1.40]). The results were robust in sensitivity analyses (eFigure 3 in the Supplement).

Figure. Association Between Seasonal Influenza Vaccination in Pregnancy and Pediatric Health Outcomes, by Trimester of Vaccination.

Figure.

aTiming imputed for 19% of vaccinated group; No. of events and incidence rates in that group based on first imputed data set; adjusted estimates based on 10 imputed data sets. bAdjusted using stabilized inverse probability of treatment weights. cNo. of events = total children diagnosed with outcome. Point estimates are HRs from a Cox proportional hazards model. dSee Table 2. eNo. of events = total occurrences for each outcome. Point estimates are incidence rate ratios from a negative binomial model. fAll respiratory tract infections, gastrointestinal infections, and otitis media. gData suppressed (n < 5).

Discussion

The results of this population-based study suggest that maternal influenza vaccination during pregnancy was not associated with immune-related adverse health outcomes (eg, asthma, infections), non–immune-related health outcomes (eg, neoplasms, sensory impairment), or nonspecific health services utilization (eg, emergency department visits and hospitalizations) in young children. These results remained largely consistent in trimester-specific analyses and in sensitivity analyses that considered possible residual confounding (eg, from maternal asthma or influenza diagnoses), changes in the gestational age definition, and implementation of trimming methods to account for possible influential inverse probability of treatment weights. A small positive association with the negative control outcome in unadjusted analyses was attenuated after propensity score weighting, implying that the models accounted for confounding. Previous studies on this topic have largely focused on exposure to influenza A(H1N1)pdm09 vaccination in pregnancy13; this study, therefore, makes an important contribution to long-term evaluation of seasonal influenza vaccination during pregnancy.

Efficacy of trivalent inactivated influenza vaccination in pregnancy for preventing influenza infection in mothers and their infants younger than 6 months has been demonstrated in several randomized clinical trials.28,29,30,31 Among studies that have evaluated childhood health outcomes after age 6 months, 3 investigated seasonal influenza vaccine and a limited number of childhood outcomes, while 7 investigated influenza A(H1N1)pdm09 vaccine and a wider range of outcomes.13,32 Overall, these studies did not identify any concerning associations between influenza vaccination in pregnancy and adverse childhood health outcomes.13 For seasonal influenza vaccines, no significant association was reported with autism spectrum disorder (median follow-up of 8.3 years; adjusted HR, 1.10 [95% CI, 1.00 to 1.21]).33 No significant association was reported between seasonal influenza vaccination in pregnancy and lab-confirmed influenza hospitalization among children aged 6 to 12 months.34 Acute otitis media and medically attended acute respiratory infections in the first year of life were inversely associated with seasonal influenza vaccination during pregnancy.35

For influenza A(H1N1)pdm09 vaccine, no significant associations were reported between vaccination in pregnancy and many infection-related outcomes in the first year of life, such as influenza and pneumonia,36 infection-related primary care visits,37 or any infections.38 Previously reported inverse associations between influenza A(H1N1)pdm09 vaccination and rates of gastrointestinal infections up to 5 years of age (adjusted rate ratio, 0.84 [95% CI, 0.74 to 0.94]21; adjusted HR, 0.94 [95% CI, 0.91 to 0.98]22) were not observed in this study of seasonal influenza vaccine. Although the reason for the inverse association with gastrointestinal infections in previous studies is unclear, both studies speculated there may have been residual confounding by rotavirus vaccination that could not be adjusted for. This was likely not a problem in the current study because of lack of provincial health care coverage for the rotavirus vaccine during the study period.

A Danish cohort study, with a mean of 4.6 years of follow-up, found no significant association between influenza A(H1N1)pdm09 vaccine exposure during the first trimester (adjusted rate ratio, 1.50 [95% CI, 0.99 to 2.29]) or second or third trimesters (adjusted rate ratio, 1.02 [95% CI, 0.89 to 1.16]) and childhood asthma.21 A Canadian cohort study with a median length of follow-up of 5 years reported a weak association between any influenza A(H1N1)pdm09 influenza vaccine exposure and childhood asthma (adjusted HR, 1.05 [95% CI, 1.02 to 1.09]); however, the magnitude was small and may have been a result of residual confounding, as there was also a weak association with the negative control outcome in that study.22 The Canadian and Danish studies reported no significant association between influenza vaccination in pregnancy and a range of other immune-related child health outcomes (eg, upper or lower respiratory tract infections, otitis media, meningitis, sepsis, viral infections, any infections), and non–immune-related child health outcomes (eg, neoplasms, sensory disorders, epilepsy, intellectual disability, Bell palsy).21,22 In addition, a Swedish cohort study found no significant association between influenza A(H1N1)pdm09 vaccination and autism spectrum disorder (mean follow-up, 6.7 years; adjusted HR, 0.95 [95% CI, 0.81 to 1.12]).32

This study has several strengths. First, the study used a population-based design that included nearly all births in the province, which minimized selection bias and could therefore potentially generalize to other settings. Second, assessment of influenza vaccine exposure was based primarily on physician claims data (81%) but influenza vaccination reported in the perinatal database was also included, which likely improved exposure assessment as compared with previous research.9 Third, numerous sensitivity analyses yielded results similar to those from the primary analyses, supporting the robustness of the findings.

Limitations

This study has several limitations. First, both physician billing information and the Atlee Database were used for exposure assessment, and the latter relied partly on patient self-report, which may be less reliable. However, of the 10 227 children exposed to influenza vaccination in utero, vaccination was recorded in the physician billing database 81% of the time and use of the Atlee Database to supplement exposure ascertainment had the advantage of capturing data on influenza vaccination in settings other than a physician’s office, such as workplaces or pharmacies. Second, outcome misclassification cannot be ruled out; the majority of study outcomes have not been validated, although an adapted validated algorithm was used for childhood asthma. Third, outcome measurement was limited to diagnoses made in emergency departments and during hospitalizations, although this approach reflected more serious illnesses and could potentially improve specificity compared with use of diagnoses from nonurgent settings.22,23 Fourth, residual confounding from unmeasured or unknown variables cannot be ruled out, although the lack of significant association with the negative control outcome provides additional reassurance for the validity of conclusions from the main analyses. Fifth, the point estimates were slightly increased for some outcomes (eg, adjusted HR of 1.22 for asthma and 1.26 for neoplasms), and the 95% CIs around these estimates indicate that some increase in risk cannot be ruled out. Given the observational nature of the study, the small events numbers for neoplasms, and the imprecise 95% CIs around some point estimates (especially for neoplasms and trimester-specific analyses), these results should be interpreted cautiously.

Conclusions

In this population-based cohort study with mean follow-up duration of 3.6 years, maternal influenza vaccination during pregnancy was not significantly associated with an increased risk of adverse early childhood health outcomes.

Supplement.

eFigure 1. Study Design

eFigure 2. Study Flow Diagram

eFigure 3. Sensitivity Analyses

eTable 1. Influenza Vaccination Exposure Assessment

eTable 2. Individual ICD-10-CA Diagnostic Codes to Identify Outcomes

eMethods.

eTable 3. Description of “Obstetric Conditions Affecting Pregnancy” Covariate

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplement.

eFigure 1. Study Design

eFigure 2. Study Flow Diagram

eFigure 3. Sensitivity Analyses

eTable 1. Influenza Vaccination Exposure Assessment

eTable 2. Individual ICD-10-CA Diagnostic Codes to Identify Outcomes

eMethods.

eTable 3. Description of “Obstetric Conditions Affecting Pregnancy” Covariate


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