Video Abstract
Increasing vaccination of pregnant women makes it important to assess safety events potentially linked to prenatal vaccination. This study investigates the association between prenatal tetanus, diphtheria, acellular pertussis (Tdap) vaccination and autism spectrum disorder (ASD) risk in offspring.
This is a retrospective cohort study of mother-child pairs with deliveries January 1, 2011 to December 31, 2014 at Kaiser Permanente Southern California hospitals. Maternal Tdap vaccination from pregnancy start to delivery date was obtained from electronic medical records. A diagnosis of ASD was obtained by using International Classification of Diseases, Ninth and Tenth Revision codes. Children were managed from birth to first ASD diagnosis, end of membership, or end of follow-up (June 30, 2017). Cox proportional hazards models estimated the unadjusted and adjusted hazard ratios (HRs) for the association between maternal Tdap vaccination and ASD, with inverse probability of treatment weighting to adjust for confounding.
Women vaccinated were more likely to be Asian American or Pacific Islander, be nulliparous, have a higher education, receive influenza vaccination prenatally, and give birth at term. ASD was diagnosed in 1341 (1.6%) children, and the incidence rate was 3.78 per 1000 person years in the Tdap exposed and 4.05 per 1000 person years in the unexposed group (HR: 0.98, 95% confidence interval: 0.88–1.09). The inverse probability of treatment weighting–adjusted analyses revealed that prenatal Tdap vaccination was not associated with an increased ASD risk (HR: 0.85, 95% confidence interval: 0.77–0.95).
Prenatal Tdap vaccination was not associated with an increased ASD risk. We support recommendations to vaccinate pregnant women to protect infants, who are at highest risk of death after pertussis infection.
Few researchers have examined effects of prenatal tetanus, diphtheria, and acellular pertussis (Tdap) vaccination on maternal and child outcomes. No increased risk of preterm delivery or low birth weight has been found in infants born to women vaccinated prenatally.
Prenatal Tdap vaccination was not associated with an increased risk of autism spectrum disorder (ASD) in children. No study to our knowledge has been published examining the risk of ASD after prenatal exposure to the Tdap vaccine.
Prenatal tetanus toxoid, reduced diphtheria toxoid, and acellular pertussis, adsorbed (Tdap) vaccination has been shown to be effective in protecting vulnerable young infants from pertussis. Prompted by waning immunity, pertussis incidence has risen in the past decade in the United States, with peaks in 2010 and 2014.1,2 Young infants are at the highest risk of hospitalization and death after pertussis infection, a highly contagious respiratory disease (whooping cough) caused by the bacterium Bordetella pertussis.3 In response, in October 2011 the Advisory Committee on Immunization Practices (ACIP) recommended that unvaccinated pregnant women receive the Tdap vaccine after 20 weeks’ gestation.4 Given the seriousness of the matter, this recommendation was amended in October 2012 to include all pregnant women regardless of previous vaccinations, and the optimal vaccination period was defined between 27 and 36 weeks’ gestation.5 Evidence revealed that antibodies are passed along to newborns, and the vaccine was 91.4% effective in providing some immunity until newborns reach 2 months of age, the age they are expected to receive their first dose of the diphtheria-tetanus-acellular pertussis vaccine.6,7 Given the increasing practice to vaccinate pregnant women with Tdap, it is important to address the concern of a potential link between maternal vaccination and subsequent development of autism spectrum disorder (ASD) in children.
During a time when Tdap was not routinely recommended for pregnant women, spontaneous abortions were the most frequent pregnancy-specific adverse events (16.7%) reported in the Vaccine Adverse Event Reporting System, a national database used for monitoring the safety of vaccines in the population.8 However, the number of pregnant women who received the vaccine was small (n = 132) and likely a selective group because the vaccine was not in routine use. Since the ACIP recommendations, researchers have examined the effects of the Tdap vaccine on maternal and child outcomes finding no associations between the vaccine and adverse events.9,–11 A study based on data from 7 Vaccine Safety Datalink sites found that there was no increased risk of small for gestational age, preterm delivery, or low birth weight in infants born to women who received the vaccine while pregnant between 2007 and 2013.9
Researchers examining maternal and child outcomes after prenatal Tdap vaccination have not evaluated longer-term outcomes such as the risk of ASD, an outcome of significant public interest. ASD is a neurodevelopmental disorder typically diagnosed in early childhood and characterized by impairments in social-communication skills and restricted stereotyped behaviors.12 In the United States, ∼147 per 10 000 children are diagnosed with ASD by 8 years of age.13,14 Although there is no consensus on timing of exposure, the prenatal period is strongly implicated in ASD etiology,15,–18 and both genetic and environmental causes are important.19,–21 Although there is consistent evidence supporting that vaccines administered in childhood and their preservatives do not cause ASD,22,–24 there is limited research on the safety of vaccines administered during pregnancy. In this study, we aimed to evaluate the association between the Tdap vaccine administered during pregnancy and ASD risk in a cohort of children born at Kaiser Permanente Southern California (KPSC) hospitals.
Methods
Study Population and Design
In this retrospective cohort study, we observed the outcome of an ASD diagnosis in children born at all KPSC hospitals between January 1, 2011, and December 31, 2014. KPSC is an integrated health care delivery organization that provides health care in 15 hospitals and ∼220 medical offices to ∼4.4 million members who are broadly representative of the Southern California population.25 KPSC uses electronic medical records (EMRs) to integrate medical information, such as diagnosis and immunizations. All recommended immunizations are free to members regardless of copayment status. This study was approved by the KPSC Institutional Review Board, which waived the requirement for informed consent.
Eligibility was restricted to pregnant women who did not have assisted conceptions (in vitro fertilization) and gave birth to live singleton infants at 22 to 45 weeks’ gestation. Childrens' medical records were linked longitudinally to biological mothers by using unique identifiers. Maternal and child pairs were included if pregnant women had continuous membership since the beginning of pregnancy (allowing for a ≤31-day gap) and infants were members for at least 90 continuous days after turning 1 year of age. Pairs were excluded if children were diagnosed with chromosomal or congenital anomalies.
Maternal Tdap Vaccination
Maternal vaccination captured in the EMR was defined as receipt of Tdap anytime during pregnancy (yes, no), from the pregnancy start date to the day before the delivery date. The pregnancy start date was calculated by subtracting the gestational age at birth from the child’s birth date. Adacel (Sanofi Pasteur, Swiftwater, PA) was the primary Tdap product used at KPSC facilities during the study period.26 The unvaccinated group was defined by women who were not vaccinated with Tdap anytime during their entire pregnancy.
ASDs
ASD was defined by a clinical diagnosis any time after turning 1 year of age recorded in the EMR between January 1, 2012, and June 30, 2017 (International Classification of Diseases, Ninth Revision codes: 299.0, 299.8, 299.9; and International Classification of Diseases, 10th Revision codes: F84.0, F84.5, F84.8, F84.9). Although we consider children at risk for ASD from birth, we restricted the minimum diagnosis age on the basis of the 12-month minimum allowable evaluation age of the Autism Diagnostic Observation Schedule, the gold standard diagnostic instrument for identifying ASD.27
Covariates
Maternal and child characteristics were obtained from the EMR. Child data included sex (male or female), birth year (2011–2014), birth season (winter, spring, summer, fall), gestational age at birth (mean, SD; <37 or ≥37 weeks’ gestation), and birth weight (mean, SD). Maternal data at delivery included maternal age (≤25, 26–30, 31–34, ≥35 years), race and/or ethnicity (non-Hispanic white, non-Hispanic African American, Hispanic, non-Hispanic Asian American or Pacific Islander, other or multiracial, unknown), primary language (English, other), interpreter needed (yes, no), educational attainment (less than or equal to high school, some college, bachelor’s degree, greater than or equal to master’s degree, unknown), and medical center of delivery. Additional pregnancy information included Medicaid insurance (yes, no), parity (0, 1, ≥2), receipt of influenza vaccine during pregnancy (yes, no), start of prenatal care (≤3 months gestation, >3 months gestation, no care or missing), and medical and obstetrical complications (pregestational hypertension, preeclampsia or eclampsia, pregestational and gestational diabetes, placenta previa, and placental abruption).
Statistical Analysis
The distributions of maternal and child characteristics by prenatal Tdap vaccination status and either χ2 test or Student’s t test for differences in characteristics were calculated. Follow-up characteristics, age of ASD diagnosis, and the incidence rate of ASD diagnosis by Tdap vaccination status were calculated. Children were followed from birth to first ASD diagnosis, end of membership in the health plan, or the end of the study follow-up period (June 30, 2017), whichever came first.
To assess the potential concern that ASD diagnoses were missed because of dual enrollment in another health care system and/or limited health care use within the KPSC system, we also calculated the proportion of children with no outpatient encounters after turning 1 year of age. Proportions were calculated by whether their mothers received the Tdap vaccine during pregnancy.
Cox proportional hazards regression was used to estimate the unadjusted and adjusted hazard ratios (HRs) and their 95% confidence intervals (CIs) to evaluate the magnitude of association between maternal Tdap vaccination and ASD diagnosis in children. To evaluate potential variations in results, we also conducted stratified analyses by child’s birth year and by assessing results among women giving birth to their first child (nulliparous). We used propensity score analyses with inverse probability of treatment weighting (IPTW) to adjust for potential confounding. First, we used a logistic regression model including variables associated with vaccination a priori,28,29 or variables from bivariate results (P < .05) that could reasonably affect Tdap receipt, to estimate the probability of Tdap vaccination. The following variables were included: child’s birth year, gestational age at birth (<37 or ≥37 weeks’ gestation), maternal age, race and/or ethnicity, education, medical center of delivery, Medicaid insurance, parity, start of prenatal care, and influenza vaccination during pregnancy. Second, the weight for each mother was calculated as the inverse of her predicted probability of Tdap exposure and was normalized by dividing by the mean weight of each exposure group. Standardized difference scores were used to assess whether balance of covariates was achieved between the comparison groups. Unlike P values, for which the magnitude is highly related to the sample size, standardized difference is a unified approach to quantifying the magnitude of difference between groups regardless of sample size; an absolute value <0.10 is considered a negligible difference.30,31
Results
There were 109 536 women who had continuous enrollment since the beginning of pregnancy with nonassisted conceptions and gave birth to live singletons between January 1, 2011, and December 31, 2014. Of these, 94 400 (86.2%) children were enrolled by 1 year of age. After excluding an additional 9356 (8.5%) children with <90 days of continuous enrollment and 3051 (2.8%) diagnosed with chromosomal or congenital anomalies, the study included 81 993 children (Fig 1).
Inclusion flowchart. a Live births from nonassisted pregnancies and from mothers who were continuously enrolled during pregnancy.
Inclusion flowchart. a Live births from nonassisted pregnancies and from mothers who were continuously enrolled during pregnancy.
Prenatal Tdap vaccination coverage ranged from 26% (5407 of 20 553) for the 2012 birth cohort to 79% (16 882 of 21 433) for the 2014 birth cohort. The mean and median gestational age at vaccination was 28 weeks (SD: 7.4) and 29 weeks, respectively (interquartile range: 26–33 weeks). Women vaccinated during pregnancy were more likely to be Asian American or Pacific Islander, have a bachelor’s degree or higher, be nulliparous, have received the influenza vaccine prenatally, and give birth at term (≥37 weeks’ gestation) compared with unvaccinated women (Table 1).
Characteristics of Tdap-Unvaccinated and -Vaccinated Pregnant Women Who Delivered Children Born at KPSC, 2011–2014
Characteristics . | Unvaccinated . | Vaccinated . | Pa . |
---|---|---|---|
n = 42 916 (%) . | n = 39 077 (%) . | ||
Maternal | |||
Age at delivery, y | <.0001 | ||
≤25 | 8237 (19.2) | 6827 (17.5) | |
26–30 | 12 486 (29.1) | 11 573 (29.6) | |
31–34 | 11 902 (27.7) | 11 280 (28.9) | |
≥35 | 10 291 (24.0) | 9397 (24.1) | |
Race and/or ethnicity | <.0001 | ||
Non-Hispanic white | 11 127 (25.9) | 10 322 (26.4) | |
Non-Hispanic African American | 3718 (8.7) | 2474 (6.3) | |
Hispanic | 20 981 (48.9) | 18 789 (48.1) | |
Non-Hispanic Asian American or Pacific Islander | 5947 (13.9) | 6375 (16.3) | |
Other or multiracial | 1106 (2.6) | 1061 (2.7) | |
Unknown | 37 (0.1) | 56 (0.1) | |
Primary language | .6554 | ||
English | 39 525 (92.1) | 36 044 (92.2) | |
Other | 2936 (6.8) | 2612 (6.7) | |
Missing | 455 (1.1) | 421 (1.1) | |
Needs interpreter | 1608 (3.7) | 1463 (3.7) | <.0001 |
Education | <.0001 | ||
Less than or equal to high school | 11 410 (26.6) | 9912 (25.3) | |
Some college | 13 329 (31.1) | 11 402 (29.2) | |
Bachelor’s degree | 10 792 (25.1) | 10 516 (26.9) | |
Greater than or equal to master’s degree | 6888 (16.0) | 6744 (17.3) | |
Unknown | 497 (1.2) | 523 (1.3) | |
Prenatal | |||
Medicaid insurance | 2489 (5.8) | 1947 (5.0) | <.0001 |
Parity | <.0001 | ||
0 | 16 184 (37.7) | 17 353 (44.4) | |
1 | 15 616 (36.4) | 13 210 (33.8) | |
≥2 | 11 112 (25.9) | 8512 (21.8) | |
Start of prenatal care | <.0001 | ||
≤3 mo gestation | 39 911 (93.0) | 36 922 (94.5) | |
>3 mo gestation | 2733 (6.4) | 1954 (5.0) | |
No care or missing | 272 (0.6) | 201 (0.5) | |
Received influenza vaccine | 18 272 (42.6) | 26 449 (67.7) | <.0001 |
Pregestational hypertension | 1583 (3.7) | 1256 (3.2) | .0002 |
Pregestational diabetes | 829 (1.9) | 683 (1.7) | .0507 |
Gestational diabetes | 6513 (15.2) | 6238 (16.0) | .0019 |
Placenta previa and/or placental abruption | 2416 (5.6) | 2232 (5.7) | .6112 |
Preeclampsia or eclampsia | 3514 (8.2) | 3139 (8.0) | .4162 |
Child | |||
Sex | .0147 | ||
Female | 20 886 (48.7) | 19 351 (49.5) | |
Male | 22 030 (51.3) | 19 726 (50.5) | |
Birth y | <.0001 | ||
2011 | 11 202 (26.1) | 8063 (20.6) | |
2012 | 15 146 (35.3) | 5407 (13.8) | |
2013 | 12 017 (28.0) | 8725 (22.3) | |
2014 | 4551 (10.6) | 16 882 (43.2) | |
Birth season | <.0001 | ||
Winter (January to March) | 10 191 (23.7) | 9056 (23.2) | |
Spring (April to June) | 10 623 (24.8) | 9184 (23.5) | |
Summer (July to September) | 11 688 (27.2) | 10 076 (25.8) | |
Fall (October to December) | 10 414 (24.3) | 10 761 (27.5) | |
Gestational age, wk (mean, SD) | 38.6 (1.98) | 38.9 (1.50) | <.0001 |
Preterm birth, <37 wk | 3855 (9.0) | 2235 (5.7) | <.0001 |
Birth wt, g (mean, SD) | 3328.0 (568.58) | 3369.5 (500.04) | <.0001 |
Characteristics . | Unvaccinated . | Vaccinated . | Pa . |
---|---|---|---|
n = 42 916 (%) . | n = 39 077 (%) . | ||
Maternal | |||
Age at delivery, y | <.0001 | ||
≤25 | 8237 (19.2) | 6827 (17.5) | |
26–30 | 12 486 (29.1) | 11 573 (29.6) | |
31–34 | 11 902 (27.7) | 11 280 (28.9) | |
≥35 | 10 291 (24.0) | 9397 (24.1) | |
Race and/or ethnicity | <.0001 | ||
Non-Hispanic white | 11 127 (25.9) | 10 322 (26.4) | |
Non-Hispanic African American | 3718 (8.7) | 2474 (6.3) | |
Hispanic | 20 981 (48.9) | 18 789 (48.1) | |
Non-Hispanic Asian American or Pacific Islander | 5947 (13.9) | 6375 (16.3) | |
Other or multiracial | 1106 (2.6) | 1061 (2.7) | |
Unknown | 37 (0.1) | 56 (0.1) | |
Primary language | .6554 | ||
English | 39 525 (92.1) | 36 044 (92.2) | |
Other | 2936 (6.8) | 2612 (6.7) | |
Missing | 455 (1.1) | 421 (1.1) | |
Needs interpreter | 1608 (3.7) | 1463 (3.7) | <.0001 |
Education | <.0001 | ||
Less than or equal to high school | 11 410 (26.6) | 9912 (25.3) | |
Some college | 13 329 (31.1) | 11 402 (29.2) | |
Bachelor’s degree | 10 792 (25.1) | 10 516 (26.9) | |
Greater than or equal to master’s degree | 6888 (16.0) | 6744 (17.3) | |
Unknown | 497 (1.2) | 523 (1.3) | |
Prenatal | |||
Medicaid insurance | 2489 (5.8) | 1947 (5.0) | <.0001 |
Parity | <.0001 | ||
0 | 16 184 (37.7) | 17 353 (44.4) | |
1 | 15 616 (36.4) | 13 210 (33.8) | |
≥2 | 11 112 (25.9) | 8512 (21.8) | |
Start of prenatal care | <.0001 | ||
≤3 mo gestation | 39 911 (93.0) | 36 922 (94.5) | |
>3 mo gestation | 2733 (6.4) | 1954 (5.0) | |
No care or missing | 272 (0.6) | 201 (0.5) | |
Received influenza vaccine | 18 272 (42.6) | 26 449 (67.7) | <.0001 |
Pregestational hypertension | 1583 (3.7) | 1256 (3.2) | .0002 |
Pregestational diabetes | 829 (1.9) | 683 (1.7) | .0507 |
Gestational diabetes | 6513 (15.2) | 6238 (16.0) | .0019 |
Placenta previa and/or placental abruption | 2416 (5.6) | 2232 (5.7) | .6112 |
Preeclampsia or eclampsia | 3514 (8.2) | 3139 (8.0) | .4162 |
Child | |||
Sex | .0147 | ||
Female | 20 886 (48.7) | 19 351 (49.5) | |
Male | 22 030 (51.3) | 19 726 (50.5) | |
Birth y | <.0001 | ||
2011 | 11 202 (26.1) | 8063 (20.6) | |
2012 | 15 146 (35.3) | 5407 (13.8) | |
2013 | 12 017 (28.0) | 8725 (22.3) | |
2014 | 4551 (10.6) | 16 882 (43.2) | |
Birth season | <.0001 | ||
Winter (January to March) | 10 191 (23.7) | 9056 (23.2) | |
Spring (April to June) | 10 623 (24.8) | 9184 (23.5) | |
Summer (July to September) | 11 688 (27.2) | 10 076 (25.8) | |
Fall (October to December) | 10 414 (24.3) | 10 761 (27.5) | |
Gestational age, wk (mean, SD) | 38.6 (1.98) | 38.9 (1.50) | <.0001 |
Preterm birth, <37 wk | 3855 (9.0) | 2235 (5.7) | <.0001 |
Birth wt, g (mean, SD) | 3328.0 (568.58) | 3369.5 (500.04) | <.0001 |
P values were calculated by using χ2 or Student’s t test and do not include missing or unknown values.
The follow-up time ranged between 1.2 and 6.5 years and was on average longer in the unvaccinated group (Table 2). There was an average difference of 6 months in follow-up time between both groups (unvaccinated, mean: 4.44 years [SD: 1.18]; vaccinated, mean: 3.85 years [SD: 1.29]). Approximately 15% of children in the unvaccinated and 13% in the vaccinated group did not have complete follow-up through the end of the study because of termination of KPSC membership. ASD was diagnosed in 1341 children (1.6%). The proportion of children with ASD across birth years revealed a decline from 2.0% to 1.5% in the unvaccinated and 1.8% to 1.2% in the vaccinated group. Among children diagnosed with ASD, the first diagnosis commonly occurred at 2 years of age in either of the exposure groups (44%) followed by diagnoses at ages 3 and 4 years. Among children diagnosed with ASD before age 2 (n = 213), 93.5% of children had a second confirmatory diagnosis after age 2 years. Among children of unvaccinated mothers and children of vaccinated mothers, there were 187 (0.44%) and 126 (0.32%) children, respectively, who did not have an outpatient encounter after 1 year of age.
Follow-up and ASD Diagnosis in Children Born Between 2011 and 2014 to Women Who Were Unvaccinated and Vaccinated With Tdap During Pregnancy
. | Unvaccinated n = 42 916 . | Vaccinated n = 39 077 . | Pa . |
---|---|---|---|
Follow-up characteristics | |||
Total follow-up time (1000 person y) | 190.74 | 150.56 | — |
Length of follow-up, y | |||
Mean (SD) | 4.44 (1.18) | 3.85 (1.29) | <.0001 |
Median | 4.60 | 3.50 | |
Q1, Q3 | 3.7, 5.3 | 2.9, 4.9 | |
Range | (1.2–6.5) | (1.2–6.5) | |
Reasons for ending follow-up | |||
Termination of KPSC membership, n (%) | 6508 (15.2) | 5242 (13.4) | <.0001 |
End of study (June 30, 2017), n (%) | 35 636 (83.0) | 33 266 (85.1) | <.0001 |
ASD diagnosis, n (%) | 772 (1.8) | 569 (1.5) | .0008 |
ASD diagnosis prevalence by birth y, n (%) | |||
2011 | 218 of 11 202 (1.9) | 143 of 8063 (1.8) | .3836 |
2012 | 282 of 15 146 (1.9) | 80 of 5407 (1.5) | .0666 |
2013 | 206 of 12 017 (1.7) | 145 of 8725 (1.7) | .7729 |
2014 | 66 of 4551 (1.5) | 201 of 16 882 (1.2) | .1611 |
ASD diagnosis age, n (%), y | 772 (100) | 569 (100) | <.0001 |
1 | 97 (12.6) | 116 (20.4) | |
2 | 337 (43.7) | 251 (44.1) | |
3 or 4 | 314 (40.7) | 178 (31.3) | |
5 or 6 | 24 (3.1) | 24 (4.2) |
. | Unvaccinated n = 42 916 . | Vaccinated n = 39 077 . | Pa . |
---|---|---|---|
Follow-up characteristics | |||
Total follow-up time (1000 person y) | 190.74 | 150.56 | — |
Length of follow-up, y | |||
Mean (SD) | 4.44 (1.18) | 3.85 (1.29) | <.0001 |
Median | 4.60 | 3.50 | |
Q1, Q3 | 3.7, 5.3 | 2.9, 4.9 | |
Range | (1.2–6.5) | (1.2–6.5) | |
Reasons for ending follow-up | |||
Termination of KPSC membership, n (%) | 6508 (15.2) | 5242 (13.4) | <.0001 |
End of study (June 30, 2017), n (%) | 35 636 (83.0) | 33 266 (85.1) | <.0001 |
ASD diagnosis, n (%) | 772 (1.8) | 569 (1.5) | .0008 |
ASD diagnosis prevalence by birth y, n (%) | |||
2011 | 218 of 11 202 (1.9) | 143 of 8063 (1.8) | .3836 |
2012 | 282 of 15 146 (1.9) | 80 of 5407 (1.5) | .0666 |
2013 | 206 of 12 017 (1.7) | 145 of 8725 (1.7) | .7729 |
2014 | 66 of 4551 (1.5) | 201 of 16 882 (1.2) | .1611 |
ASD diagnosis age, n (%), y | 772 (100) | 569 (100) | <.0001 |
1 | 97 (12.6) | 116 (20.4) | |
2 | 337 (43.7) | 251 (44.1) | |
3 or 4 | 314 (40.7) | 178 (31.3) | |
5 or 6 | 24 (3.1) | 24 (4.2) |
—, not applicable.
P values were calculated by using χ2 or Student’s t test.
The ASD incidence rate was 3.78 per 1000 person-years in the Tdap vaccinated and 4.05 per 1000 person-years in the unvaccinated group (Table 3). The unadjusted HR was 0.98 (95% CI: 0.88–1.09). After propensity score weighting, the standardized difference scores were <0.1 for all variables, suggesting a good balance of covariates (Fig 2). The IPTW-adjusted analyses showed that Tdap vaccination during pregnancy was not associated with increased ASD risk (HR: 0.85, 95% CI: 0.77–0.95). Results were consistent across study birth years and among nulliparous women.
Rates and Associations Between Tdap Vaccination During Pregnancy and ASD Among Children Born Between 2011 and 2014
. | ASD Incidence Rate per 1000 Person y . | HR (95% CI) . | ||
---|---|---|---|---|
Unvaccinated . | Vaccinated . | Unadjusted . | IPTW-Adjusteda . | |
Overall | 4.05 | 3.78 | 0.98 (0.88–1.09) | 0.85 (0.77–0.95) |
Birth y | ||||
2011 | 3.57 | 3.22 | 0.91 (0.74–1.12) | 0.86 (0.70–1.07) |
2012 | 4.02 | 3.18 | 0.80 (0.62–1.02) | 0.80 (0.63–1.03) |
2013 | 4.48 | 4.46 | 1.00 (0.81–1.23) | 0.99 (0.80–1.23) |
2014 | 4.87 | 4.14 | 0.89 (0.68–1.18) | 0.85 (0.65–1.12) |
Nulliparous | 4.88 | 4.56 | 0.99 (0.85–1.15) | 0.88 (0.75–1.02) |
. | ASD Incidence Rate per 1000 Person y . | HR (95% CI) . | ||
---|---|---|---|---|
Unvaccinated . | Vaccinated . | Unadjusted . | IPTW-Adjusteda . | |
Overall | 4.05 | 3.78 | 0.98 (0.88–1.09) | 0.85 (0.77–0.95) |
Birth y | ||||
2011 | 3.57 | 3.22 | 0.91 (0.74–1.12) | 0.86 (0.70–1.07) |
2012 | 4.02 | 3.18 | 0.80 (0.62–1.02) | 0.80 (0.63–1.03) |
2013 | 4.48 | 4.46 | 1.00 (0.81–1.23) | 0.99 (0.80–1.23) |
2014 | 4.87 | 4.14 | 0.89 (0.68–1.18) | 0.85 (0.65–1.12) |
Nulliparous | 4.88 | 4.56 | 0.99 (0.85–1.15) | 0.88 (0.75–1.02) |
Adjustments were made for child’s birth y, gestational age at birth (<37 or ≥37 wk); maternal age, race and/or ethnicity, and education; Medicaid insurance, medical center of delivery, parity, start of prenatal care, and influenza vaccination during pregnancy.
Discussion
In this large retrospective observational cohort study of 81 993 pairs of diverse pregnant women and their children, we found no evidence of increased risk for ASD diagnosis associated with Tdap vaccination during pregnancy. Subanalyses supported the overall results, revealing minimal variability by year of birth and parity. No study to our knowledge has been published with results examining the risk of ASD after maternal exposure to the Tdap vaccine.
Maternal immune activation during pregnancy is hypothesized to indirectly affect fetal neurodevelopment.32,–35 Researchers have found infections during pregnancy (eg, rubella and influenza), including prolonged episodes of fever to increase autism risk, hypothesizing that maternal infections, cytokine responses, and proinflammatory pathways are likely to alter fetal brain development.32,36,–41 Our results potentially indicate that the maternal Tdap vaccine affects immune trajectories protecting infants against infections that would otherwise lead to neurodevelopmental alterations. Alternatively, vaccinations during pregnancy can possibly activate the maternal immune system leading to neurodevelopmental insults. However, except for 1 study in which the association between the influenza vaccine during pregnancy and ASD was examined,42 there is an insufficient number of studies that contain examinations of this hypothesis.
Only a handful of researchers have investigated adverse events potentially associated with Tdap receipt during pregnancy that may point to possible intermediate physiologic pathways to ASD. Two studies at sites participating in the Vaccine Safety Datalink project and a third study of >1 million pregnant women revealed a small but statistically significant increased risk of chorioamnionitis after maternal Tdap vaccination (6.1% in vaccinated, 5.5% in unvaccinated).43,–46 Although Tdap increased the risk for chorioamnionitis, the investigators in the referenced studies found that the resulting chorioamnionitis was not associated with a preterm birth, a potential risk factor for ASD.47 Given that maternal Tdap vaccination alone or mediated by chorioamnionitis did not translate to a preterm birth or any clinically relevant adverse event in newborns,9,46 a direct or mediated relationship between maternal Tdap and ASD is not supported.
Our findings have some strengths and limitations. ASD was determined by recorded diagnoses in the EMR and was not validated by a study-specific standardized assessment. In addition, misclassification of ASD diagnosis could have occurred among children with dual insurance or limited health care use, if they sought care for ASD elsewhere. However, incident ASD diagnoses were likely captured consistently during most of the study years because of a California law enacted in 2012 (Senate Bill 946) requiring health plans to cover ASD-associated health costs, such as diagnostic and behavioral health treatment,48 prompting the implementation of systematic procedures for screening and diagnosing within the KPSC health care system. Thus, a diagnosis of ASD can only be made by qualified mental health professionals (child and/or adolescent psychiatrists, developmental and/or behavioral pediatricians, child psychologists, or neurologists). In addition, the combined prevalence of ASD in this study was 1.6%, comparable to the estimated 1.7% prevalence among 8-year-old children reported in the United States.49 In addition, vaccinated and unvaccinated women may be different in aspects that may also be associated with ASD diagnosis. Because study follow-up time was dependent on the child’s birth year, children in this study had different opportunities for receiving an ASD diagnosis (ie, children born in 2011 had maximum follow-up potential of 5.5–6.5 years, whereas children born in 2014 had 2.5–3.5 years). Based on US representative data, 3 to 5 years of age is the period when most children with an ASD are diagnosed.50 Thus, we likely did not capture some children with ASD born in later study years considering that some children with milder ASD would not be diagnosed until they reach school age. Similarly, maternal Tdap vaccine uptake varied by birth year because of evolving ACIP recommendations and pertussis epidemics in California.2,51,52 However, because we identified minimal variability in study results when stratifying by birth year, these variations likely did not affect our results. In addition, although we controlled for major known confounding factors related to Tdap vaccination and ASD, our results could have been affected by residual confounding, such as behavioral or clinical factors not captured by the EMR. For example, we did not control for having an older sibling with ASD, although the sibling recurrence risk is between 10% and 20%, a 10- to 20-fold increase over the general population’s prevalence.53,54 However, in our analysis restricted to mothers giving birth to their first child, the results were consistent with overall findings.
Our study has additional strengths. Maternal Tdap vaccination and ASD information was not subject to recall bias, and our weighting procedures enabled us to balance the Tdap exposed and unexposed groups to compare 2 populations that were comparable in important measured confounding factors. In addition, we included children diagnosed with ASD starting at 1 year of age in consideration of the latest evidence in ASD screening and diagnosis research and practice.55,–57 Still, we were able to confirm that the majority (>93%) of children with their first diagnosis of ASD before age 2 also had a diagnosis after age 2, which aligns with the American Academy of Pediatrics autism screening recommended schedule of 18- and 24-months.58
Conclusions
Our findings suggest that getting vaccinated with Tdap during pregnancy is not associated with an increased risk of ASD in children. Future studies with additional birth years and longer follow-up can add to the scientific evidence about Tdap vaccination during pregnancy and ASD in offspring. We provide evidence supporting the ACIP’s recommendation to vaccinate pregnant women to protect vulnerable infants, who are at highest risk of hospitalization and death after pertussis infection.
- ACIP
Advisory Committee on Immunization Practices
- ASD
autism spectrum disorder
- CI
confidence interval
- EMR
electronic medical record
- HR
hazard ratio
- IPTW
inverse probability of treatment weighting
- KPSC
Kaiser Permanente Southern California
- Tdap
tetanus toxoid, reduced diphtheria toxoid, and acellular pertussis, adsorbed
Dr Becerra-Culqui conceptualized and designed the study, developed the analysis plan, coordinated the interpretation of the results, contributed expertise in epidemiologic methods and autism outcomes, and drafted and finalized the manuscript; Drs Tseng and Getahun contributed to the analysis plan and interpretation of results, critically reviewed the manuscript for important intellectual content within areas of expertise (such as epidemiologic methods, bias, vaccines, autism, and broad messaging of the manuscript), and revised; Ms Chiu provided statistical analysis consultation, feedback to the analysis plan, conducted the analyses, critically reviewed the manuscript for important statistical intellectual content, and revised; Ms Sy critically reviewed the manuscript for important intellectual content within vaccine area of expertise and broad messaging of the manuscript and revised; and all authors approved the final version of the manuscript as submitted and agree to be accountable for all aspects of the work.
FUNDING: Supported by Kaiser Permanente Southern California internal research funds.
References
Competing Interests
POTENTIAL CONFLICT OF INTEREST: Drs Becerra-Culqui and Tseng and Ms Sy received funding from GlaxoSmithKline for a separate study of a tetanus, diphtheria, acellular pertussis vaccine (Boostrix) during pregnancy; and Dr Getahun and Ms Chiu have indicated they have no potential conflicts of interest to disclose.
FINANCIAL DISCLOSURE: Drs Becerra-Culqui and Tseng and Ms Sy received funding from GlaxoSmithKline Biologicals for a separate study of a tetanus, diphtheria, acellular pertussis vaccine (Boostrix) during pregnancy; Dr Getahun has received research grant support from Bayer AG for unrelated studies; Drs Tseng and Getahun and Ms Sy received research funding from the Centers for Disease Control and Prevention for the Vaccine Safety Datalink project; and Ms Chiu has indicated she has no financial relationships relevant to this article to disclose.
Comments
Prenatal Tdap and ASD study is flawed and must be retracted
Becerra et al.(1) recently published a study on prenatal Tetanus, Diphtheria, Acellular Pertussis (Tdap) Vaccination and Autism Spectrum Disorder (ASD).
As described previously(2), ignoring causal mechanisms result in flawed studies.
This Tdap ASD study(1) was based on Sanofi Pasteur's Adacel Tdap vaccine alone and on data collected at a few Kaiser facilities in Southern California alone.
The type and quantity of target proteins in Adacel are “Each 0.5 mL dose contains 5 Lf tetanus toxoid (T), 2 Lf diphtheria toxoid (d), and acellular pertussis antigens [2.5 mcg detoxified pertussis toxin (PT), 5 mcg filamentous hemagglutinin (FHA), 3 mcg pertactin (PRN), 5 mcg fimbriae types 2 and 3 (FIM)]” (3).
GSK’s Boostrix Tdap vaccine package insert says (4)“Each 0.5-mL dose is formulated to contain 5 Lf of tetanus toxoid, 2.5 Lf of diphtheria toxoid, 8 mcg of inactivated PT, 8 mcg of FHA, and 2.5 mcg of pertactin (69 kiloDalton outer membrane protein).”
Mostly the same proteins but somewhat different quantities in each vaccine.
The authors' ASSUMPTION is that the target proteins in Adacel are the potential cause of autism and therefore the subject of their study. If their assumption is true, target proteins being standardized, Adacel would be somewhat representative of all Tdap vaccines (although the protein quantities differ) and thus would be a candidate to perform the study as they did.
However, a major, widely prevalent ASD biomarker (70-75% of patients test positive) is the folate receptor alpha antibody (FRAA)(5). These FRAA bind with higher affinity to bovine FRA than human FRA(6). These FRAA are induced directed against bovine FRA but cross-react and bind to human FRA in the choroid plexus, block folate uptake and cause ASD(5). The majority of FRAA are of the IgG4 subclass(6). IgG4 antibodies are known to cross the placenta. Maternal FRAA have thus been shown to cross the placenta, block folate uptake in the fetus and cause ASD.(7)
One or more of bacteria used to prepare the Tdap vaccine are grown in casein or casamino acids containing growth media. The Tdap vaccine therefore contains residual quantities of non-target proteins, bovine milk proteins in this case, used to derive the casein or casamino acids. The residual non-target bovine FRA protein, a bovine milk protein in the vaccines are therefore an obvious source for the induction of FRAA.
Any Tdap vaccine administration, including prenatal Tdap vaccine administration could therefore cause the induction of maternal FRAA. These residual proteins however, are contaminants that are by definition, NOT standardized, NOT regulated and NOT characterized/reported by the vaccine maker.
Consider the H1N1 vaccine in Europe. The vaccines contained standardized quantities of the target hemaggluttinin (HA) proteins. The vaccines also contained residual quantities of unregulated contaminant non-target proteins - H1N1 nucleoproteins. The contaminant quantity varied from vendor to vendor due to their process. The result was disastrous. The Pandemrix vaccine induced numerous cases of narcolepsy. The Arepanrix and Focetria vaccines performed better. So even though these vaccines were considered equivalent, the outcomes were devastatingly different. The contaminant H1N1 nucleoproteins induced cross-reacting antibodies directed against human hypocretin receptors due to molecular mimicry, thus inducing narcolepsy.(8)
Residual bovine casein, a bovine milk protein, measured in just five samples of Adacel showed a twofold difference in quantity (8-17ng/ml) (9). Similarly, there is a huge variation in residual ovalbumin in chick egg derived influenza vaccines 0.3-38.3ug/ml(10). This is to be expected because the quantity of non-target proteins in vaccines are unregulated.
The residual quantity of bovine FRA in Adacel stock used at Kaiser facilities (sources of study data) are an unknown. Whether that residual quantity of bovine FRA is representative of the quantity in worldwide Tdap vaccines is an unknown. Therefore, the study results cannot be claimed to be representative and applicable to all Tdap vaccines worldwide. The authors' fundamental ASSUMPTION does not hold true. For this reason, their conclusion that prenatal Tdap vaccines in general are not associated with autism is not supported by the evidence.
Given the above, the authors should retract the article.
If the authors had researched the details I have provided, it would have been obvious to them that they need a completely different study type and study design to investigate this matter.
Even in this study, the authors describe that follow-up was on average 6 months less (inexplicably) in the vaccinated vs. unvaccinated group. Therefore a critical period where ASD diagnosis is most likely to occur, was unaccounted, introducing bias. This could have changed the outcome of the study and show that prenatal Adacel was indeed associated with autism.
Further, as noted in the beginning, 75% of ASD patients test positive for FRAA. Therefore, maternal FRAA induced ASD may only be 25% of the cases. Then there is also non-FRAA mediated, maternal autism related (MAR) autism autoantibody related mechanisms(11). So if accounted properly, even a small number of cases diagnosed during that 6 month period could have altered the outcome of the study.
References
1. Becerra-Culqui TA, Getahun D, Chiu V, Sy LS, Tseng HF. Prenatal Tetanus, Diphtheria, Acellular Pertussis Vaccination and Autism Spectrum Disorder. Pediatrics. United States; 2018 Aug 13;e20180120.
2. Arumugham V. Epidemiological studies that ignore mechanism of disease causation are flawed and mechanistic evidence demonstrates that vaccines cause autism [Internet]. 2017. Available from: https://doi.org/10.5281/zenodo.1041905
3. Pasteur S. Adacel Package Insert [Internet]. 2005. Available from: https://www.fda.gov/downloads/biologicsbloodvaccines/vaccines/approvedpr...
4. Glaxo Smith Kline. Boostrix Package Insert [Internet]. 2005. Available from: https://www.fda.gov/downloads/BiologicsBloodVaccines/UCM152842.pdf
5. Frye RE, Sequeira JM, Quadros E V, James SJ, Rossignol D a. Cerebral folate receptor autoantibodies in autism spectrum disorder. Mol Psychiatry. 2012;18(3):369–81.
6. Ramaekers VT, Sequeira JM, Blau N, Quadros E V. A milk-free diet downregulates folate receptor autoimmunity in cerebral folate deficiency syndrome. Dev Med Child Neurol. 2008;50(5):346–52.
7. Frye RE, Sequeira JM, Quadros E, Rossignol DA. Folate Receptor Alpha Autoantibodies Modulate Thyroid Function in Autism Spectrum Disorer. North Am J Med Sci. 2014;7(1):1–7.
8. Ahmed SS, Volkmuth W, Duca J, Corti L, Pallaoro M, Pezzicoli A, et al. Antibodies to influenza nucleoprotein cross-react with human hypocretin receptor 2 (ABSTRACT ONLY). Sci Transl Med. 2015;7(294):294ra105–294ra105.
9. Kattan JD, Cox AL, Nowak-Wegrzyn A, Gimenez G, Bardina L, Sampson HA, et al. Allergic reactions to diphtheria, tetanus, and acellular pertussis vaccines among children with milk allergy. J Allergy Clin Immunol. 2011;Conference(var.pagings):AB238.
10. Goldis M, Bardina L, Lin J, Sampson HA. Evaluation of Egg Protein Contamination in Influenza Vaccines. J Allergy Clin Immunol. Elsevier; 2016 Jan 9;125(2):AB129.
11. Arumugham V. Strong protein sequence alignment between autoantigens involved in maternal autoantibody related autism and vaccine antigens [Internet]. 2017. Available from: https://www.zenodo.org/record/1034571
RE: Age of ASD Diagnosis
The latest CDC ADDM Network information shows that the median age for a diagnosis of an autism spectrum disorder (ASD) is 52 months (4.33 years). Thus, the analysis by Becerra-Culqui is inadequate to pick up nearly 50% of the ASD cases in the sampling presented. The average age for follow-up in the vaccinated group was 3.85 years and the unvaccinated group was 4.44 years. Not only does this bias the analysis to find more diagnoses in the unvaccinated group, but it invalidates the analysis overall as many cases in both groups would simply not yet be diagnosed within the follow-up duration employed. A previous study (Geier et al. 2013 Transl Neurodegeneration 2:25) yielded calculated values 4.2 years and 1.54 years for the mean and standard deviation of age of ASD diagnosis (based on the CDC's Vaccine Safety Datalink). Applying these values, the Becerra-Culqui analysis would miss an estimated 59% of the ASD cases in the vaccinated group and 44% cases in the unvaccinated group, assuming a normal distribution of age of diagnosis.
RE: Analysis flaw: Prenatal Tetanus, Diphtheria, Acellular Pertussis Vaccination and Autism Spectrum Disorder
I was very curious to see the results of this analysis as there seems to be a suggestion that in utero exposure to inflammation may influence many health outcomes of children including autism. The issue I see with this analysis is that the follow-up for the unvaccinated group was significantly longer than the vaccinated group. Given that a significant portion of the autism diagnoses for the former occurred after 3 years of age, I don't see how anything can be concluded from the analysis done given this crucial difference between groups would influence how many diagnoses are made (the outcome of the analysis). The authors should consider adjusting for this important variable or using case-matched analysis so that both groups have the same length of follow-up.
RE: Average age of ASD diagnosis
Thank you for your comment. You are absolutely correct that the age of diagnosis is different between the two cohorts. The children in the vaccinated group seem to be diagnosed younger simply because of differential follow-up time between the vaccinated and the unvaccinated groups. The reason for this is that vaccination rates were lower in earlier years, thus the unvaccinated group are represented more in earlier birth cohorts and had the potential to reach an older age during follow-up. This is discussed in the fourth paragraph in the discussion section. For this reason we stratified the analyses by birth year to control for this issue, and the stratified results were consistent with overall results.
Average age of ASD diagnosis
I read your paper with interest. One comment that comes to mind is that it seems that Table 2 suggests that the average age of diagnosis may be different among the two cohorts, in particular the children of mothers who have been vaccinated seem to be diagnosed earlier than those of mothers who have not been vaccinated. Have you computed the average age of an ASD diagnosis for both cohorts? If so, could you please share it as I did not find this information in the paper?