OBJECTIVES

Antibiotics are commonly administered during labor and delivery, and research has suggested that fetal exposure to antibiotics can increase risk for autism spectrum disorder (ASD). We assessed whether antibiotic exposure during labor and delivery increased the risk of ASD in the offspring.

METHODS

This retrospective cohort study included everyone who delivered a live singleton-term infant in British Columbia, Canada, between April 1, 2000, and December 31, 2014. This cohort included 569 953 deliveries. To examine the association among pregnant individuals being treated for the same indication, we studied a subcohort of those who tested positive for group B Streptococcus. Cox proportional hazards models were used to estimate unadjusted and adjusted hazard ratios in both cohorts. A sensitivity analysis was conducted using length of first stage of labor as a proxy measure for dose to assess for a dose–response relationship.

RESULTS

In this population-based study, antibiotic use during labor and delivery was not associated with an increased risk of ASD in offspring. The unadjusted and adjusted hazard ratios were 1.29 (95% confidence interval, 1.24–1.35) and 0.99 (0.94–1.04), respectively; and 1.07 (0.90–1.27) and 0.88 (0.74–1.05), respectively, in the group B Streptococcus-positive cohort. We observed no substantial difference in the association between antibiotic exposure and ASD depending on length of the first stage of labor.

CONCLUSIONS

Our findings suggest that concern for ASD should not factor into the clinical decision on whether to administer antibiotics during labor and delivery. Future research is needed to examine longer durations of prenatal antibiotic exposure.

What’s known on this subject:

More than 40% of individuals are administered antibiotics during labor and delivery. And although previous research has shown that intrapartum antibiotic prophylaxis induces changes in the infant microbiome, knowledge of neurodevelopmental outcomes is limited.

What this study adds:

This population-based cohort study found that antibiotic exposure during labor and delivery was not significantly associated with an increased risk of autism spectrum disorder. Findings provide reassurance that this common obstetrical practice does not increase the risk of autism spectrum disorder.

Antibiotics are administered during labor and delivery to >40% of individuals for treatment of intrapartum fever, prolonged or premature rupture of membranes, or as prophylaxis for cesarean deliveries and group B Streptococcus (GBS) infections.1,2  Although antibiotics are beneficial to reduce short-term birth parent and neonatal complications, they can also induce lasting changes in the birth parent microbiome.1  An altered birth parent microbiome can in turn influence the colonization and development of the infant’s intestinal microbiome, and the long-term effects of this are not well understood.3 

Children with autism spectrum disorders (ASD) are commonly found to carry an abnormal composition of gut microbiota, as well as display overt gut dysfunction.4,5  Substantial evidence supports a distinct microbiome of children with ASD compared with children without ASD, yet the types of bacterial species and their relative abundances remain inconsistent.4  As such, recent autism research focuses on the proposed mechanisms of the microbiome–gut–brain axis and suggests that an altered intestinal microbiome in childhood could be a contributing factor in ASD development.6,7  Colonization of the microbiota occurs during early periods of neurodevelopment, with both sharing similar critical developmental windows that are sensitive to damage.8  Therefore, early life exposures during an important period of infant microbial colonization could alter brain–gut signaling and increase the risk of neurodevelopmental disorders, such as ASD.8  Birth is a critical moment in assembling an infant’s microbiome,9  thus, antibiotic use during labor and delivery is an important exposure to investigate further.

However, this observational research is inherently confounded by the indication for the antibiotic use because infection during pregnancy, and the resulting maternal immune activation and inflammatory responses, have also been associated with increased risk of ASD.1012  Thus, examining relationships between antibiotic use in a group of individuals with the same underlying indication for use could remove that confounding.

GBS colonizes the gastrointestinal and genitourinary tracts in up to 30% of pregnant individuals and, if the vagina is colonized during labor, there is a 36% chance of transmitting GBS to the neonate.13,14  Although most GBS-colonized neonates are asymptomatic, up to 1% develop invasive early onset GBS disease, which may result in death from bacterial sepsis or meningitis.15  Because of this severe (albeit rare) outcome, antibiotic prophylaxis is recommended. However, many GBS-positive individuals do not receive intrapartum antibiotics (eg, declined treatment, labored too quickly, etc).

The purpose of this population-based study from British Columbia (BC), Canada, was to examine the potential association between antibiotic use during labor and delivery with ASD in offspring using detailed antenatal care data linked with high-quality data on ASD diagnoses. As an approach to address confounding by indication, we examined the relationship between antibiotic use and ASD risk in the entire population delivering in BC and in the subgroup of pregnant individuals who tested positive for GBS.

We conducted a retrospective cohort study of everyone who delivered a live, singleton infant in the province of BC, Canada (population of ∼5 million), between April 1, 2000, and December 31, 2014. Children were followed until a clinical diagnosis of ASD, death, the study end date of December 31, 2016, or until they moved out of the province and were lost to follow-up. Population Data BC linked data from the BC Perinatal Data Registry,16  the BC Consolidation file,17  Vital statistics,18  the BC Autism Assessment Network,19  and the BC Ministry of Education.20  Ethics approval was obtained from the BC Children’s and Women’s Research ethics board. Approval by the ethics board and the BC data stewards for use of deidentified administrative data files includes a waiver of informed consent from participants.

The BC Perinatal Data Registry is a provincewide registry that includes information on antenatal, intrapartum, and postpartum birth parent and infant care and outcomes for nearly 100% of deliveries in BC, including home births. These data were used to build our cohorts. We examined the relationship between antibiotic administration during labor and delivery and ASD among all singleton, term deliveries, regardless of mode of delivery. We excluded children who did not have 2 full years of follow-up and children who were assessed for ASD before aged 2 years because assessments are more reliable in children aged 2 years and above.21 

To examine the relationship between administration of antibiotics during labor and delivery among a group of pregnant individuals being treated for the same underlying indication, we restricted our main cohort to a subcohort of only those who tested positive for GBS. In BC, GBS is diagnosed by bacterial culture and is considered a definite infection. Moreover, since intrapartum antibiotic prophylaxis for GBS infection is not recommended for planned cesarean deliveries in the absence of labor and rupture of membranes, cesarean deliveries were only included in the GBS-positive cohort if they were coupled with a spontaneous or induced labor code.

Exposure

The BC Perinatal Data Registry includes data fields that are specific to antibiotic administration during the labor and delivery period. All systemic antibiotics were considered.

Outcome

In BC, ASD assessment is publicly funded through the BC Autism Assessment Network (BCAAN), and conducted by pediatricians, psychiatrists, or psychologists who have completed intensive training in diagnosing ASD.19  Since 2004, all children have been evaluated in a standardized manner at BCAAN using the following 2 assessment instruments: Autism Diagnostic Observation Schedule and the Autism Diagnostic Interview-Revised.22,23  Private practitioners who have undergone specialty training in ASD assessment also diagnose some children in BC, and are required to use the Autism Diagnostic Observation Schedule or Autism Diagnostic Observation Schedule-2 and ADI-R as well. We identified these cases through linkage to the data held by the Ministry of Education. While our cohort includes children born on or after January 1, 2000, very few children would have been diagnosed prior to standardization in 2004. This is because the median age of ASD assessment at BCAAN is 5.35 years; and because we excluded children in our cohort that were diagnosed under the age of two. The few children diagnosed between 2002 and 2004 were captured in our linked Ministry of Education data.

We adjusted for sociodemographic variables including birth parent age at delivery, neighborhood income quintile, location of residence (urban, rural, or semirural residence), and coparent age. Additionally, we adjusted for pregnancy conditions and risk factors that could have influenced fetal health, including parity, smoking during pregnancy, preexisting diabetes, gestational diabetes, pregnancy-induced hypertension and other types of hypertensions (which include preexisting hypertension, hypertensive renal disease, high blood pressure [distinct from preexisting hypertension], and proteinuria), prepregnancy BMI, and prenatal antibiotic exposure. Further, we controlled for labor, delivery, and antenatal care characteristics such as year and mode of delivery. Finally, we examined neonatal characteristics including sex, birth weight, neonatal antibiotics administered during hospital admission, gestational age, and whether the infant was small or large for gestational age. Infants were considered small for gestational age if they were below the 10th percentile and large for gestational age if they were above the 90th percentile of birth weight for their gestational age and sex.24  For BMI, because of a high degree of missing data, multiple imputation was used. For all other variables, multiple imputation was not used, and data were assumed missing at random.

Covariates were compared according to antibiotic use, using standardized mean differences, first in the main cohort and then within the subcohort of pregnant individuals who tested positive for GBS. We considered a covariate to have a clinically meaningful difference between the 2 exposure groups if the standardized mean difference was >0.1.25 

Using Cox proportional hazards models, we derived crude and adjusted hazards ratios (HRs) and their 95% confidence intervals (CIs). We censored children who died or who were no longer registered in the province’s universal health insurance because this likely reflects a move out of the province. Clustering between multiple deliveries to the same birth parent over our study period was accounted for using robust SE estimates. These HRs may be interpreted as the relative risk of ASD because ASD is considered a rare disorder with a prevalence of <10%.

As a proxy for dose, since intrapartum antibiotic prophylaxis for GBS infection is given at the onset of labor and again every 4 hours until delivery, we studied subcohorts of pregnant individuals who had their first stage of labor <4 hours, between 4 and 7 hours, between 8 and 11 hours, and 12 hours or longer, to assess for a potential dose–response relationship between antibiotic exposure and the risk of ASD. In addition, we examined a subcohort of pregnant individuals who were exposed to antibiotics, both prenatally and during labor and delivery, and another subcohort of children exposed to labor and delivery antibiotics, as well as neonatal antibiotics. Finally, all analyses were stratified by sex and mode of delivery to examine potential effect modification.

We identified 599 280 singleton births among 386 066 birth parents between April 1, 2000, and December 31, 2014 (Fig 1). After the exclusion criteria were applied, the main cohort included 569 953 deliveries to 366 152 birth parents. Of these deliveries, 231 629 infants (40.6%) were exposed to antibiotics during labor and delivery. Children were followed up for a mean of 8.7 years (SD, 4.3 years).

FIGURE 1

Flow diagram for a population-based study examining autism risk and perinatal antibiotic use.

FIGURE 1

Flow diagram for a population-based study examining autism risk and perinatal antibiotic use.

Close modal

There were important differences among deliveries according to antibiotic exposure (Table 1) Birth parents exposed to antibiotics during labor and delivery were older, more likely to live in urban settings, had a higher prevalence of hypertension, and were more commonly multiparous, diabetic, and higher in prepregnancy BMI. Further, exposed deliveries had a higher proportion of cesarean deliveries, epidural use, and labor induction, and a longer first stage of labor. Infants who were exposed during labor and delivery had larger birth weights, older gestational ages, higher likelihood of being admitted to the NICU and receiving neonatal antibiotics, and shorter study follow-up times. Among the GBS-positive cohort, those exposed to antibiotics were more likely to have been delivered by cesarean delivery, given an epidural, had their labor induced or augmented, had a longer first stage of labor, and were more likely exposed to neonatal antibiotics (Table 2).

TABLE 1

Characteristics by Antibiotic Exposure for the Main Cohort (N = 569 953)

Antibiotics During Labor and DeliveryStandardized Mean Difference
Not Exposed (N = 338 324)Exposed (N = 231 629)
Birth-parent sociodemographic characteristics    
 Age, y, mean (SD) 30.25 (5.52) 30.94 (5.58) 0.126 
 Age categories, No. (%)   0.113 
   <20 11 580 (3.4) 6441 (2.8)  
   20–29 145 973 (43.1) 90 172 (38.9)  
   30–39 169 129 (50.0) 123 817 (53.5)  
   40+ 11 642 (3.4) 11 199 (4.8)  
 Income quintile, No. (%)   0.035 
   1 78 716 (23.9) 56 315 (25.2)  
   2 68 432 (20.8) 46 845 (20.9)  
   3 67 132 (20.4) 43 764 (19.5)  
   4 63 608 (19.3) 41 830 (18.7)  
   5 51 317 (15.6) 35 160 (15.7)  
 Location of residence, No. (%)   0.162 
   Urban 221 288 (65.6) 168 594 (73.0)  
   Semiurban 71 654 (21.1) 39 739 (17.2)  
   Rural 44 339 (13.1) 22 620 (9.8)  
 Coparents    
   No. of coparents 320 662 219 622  
   Age, mean (SD) 32.79 (6.33) 33.29 (6.42) 0.078 
Pregnancy conditions and risk factors    
 Parity, No. (%)   0.192 
   Nulliparous 196 826 (58.2) 112 694 (48.7)  
   Multiparous 141 487 (41.8) 118 932 (51.3)  
 Smoked during pregnancy, No. (%) 33 171 (9.8) 21 978 (9.5) 0.011 
 Diabetes, No. (%)a 23 403 (6.9) 24 553 (10.6) 0.131 
 Hypertension, No. (%)    
   Pregnancy-induced 13 333 (3.9) 13 839 (6.0) 0.094 
   Otherb 8332 (2.5) 10 140 (4.4) 0.106 
 Prepregnancy BMI, No. (%)   0.121 
   <18.5 18 375 (5.4) 11 102 (4.8)  
   18.5–24.9 231 814 (68.5) 148 857 (64.3)  
   25.0–29.9 56 713 (16.8) 42 687 (18.4)  
   ≥30.0 31 422 (9.3) 28 983 (12.5)  
 Prenatal antibiotic use 97 851 (28.9) 72 071 (31.1) 0.048 
Labor, delivery, and antenatal care characteristics    
 Year of delivery, No. (%)   0.247 
   2000–2004 117 007 (34.6) 56 488 (24.4)  
   2005–2009 115 348 (34.1) 80 723 (34.9)  
   2011–2014 105 969 (31.3) 94 418 (40.8)  
 Mode of delivery, No. (%)   0.919 
   Cesarean delivery 44 992 (13.3) 121 726 (52.6)  
   Vaginal delivery 293 332 (86.7) 109 903 (47.4)  
 Epidural use 82 352 (24.3) 85 122 (36.7) 0.272 
 Induction of labor, No. (%) 63 065 (18.6) 55 812 (24.1) 0.133 
 Augmentation of labor, No. (%) 136 409 (40.3) 83 536 (36.1) 0.088 
 Length of first stage of labor, h, No. (%)c   0.241 
   <4 106 654 (37.2) 35 077 (29.3)  
   4–7 100 340 (35.0) 39 541 (33.0)  
   8–11 45 250 (15.8) 22 120 (18.5)  
   12+ 34 332 (12.0) 22 942 (19.2)  
Neonatal characteristics    
 Sex, No. (%)   0.034 
   Male 171 326 (50.6) 121 237 (52.3)  
   Female 166 991 (49.4) 110 388 (47.7)  
 Birth weight, g, mean (SD) 3463.6 (491.4) 3393.1 (593.8) 0.129 
 Gestational age, wk, mean (SD) 38.98 (1.50) 38.46 (2.11) 0.286 
 Apgar score    
   At 5 min, mean (SD) 9.09 (0.71) 9.03 (0.80) 0.083 
   <7 at 5 min, No. (%) 4121 (1.2) 4320 (1.9) 0.052 
 Congenital malformation, No. (%) 16 784 (5.0) 14 007 (6.0) 0.048 
 Size at birth, No. (%)d    
   Small-for-gestational age 22 089 (6.5) 14 480 (6.3) 0.011 
   Large-for-gestational age 13 255 (3.9) 11 534 (5.0) 0.052 
 Admission to NICU, No. (%) 10 403 (3.1) 18 165 (7.8) 0.211 
 Neonatal antibiotic exposure 4154 (1.2) 8767 (3.8) 0.164 
 Length of follow-up, y, mean (SD) 9.11 (4.32) 8.14 (4.10) 0.231 
Antibiotics During Labor and DeliveryStandardized Mean Difference
Not Exposed (N = 338 324)Exposed (N = 231 629)
Birth-parent sociodemographic characteristics    
 Age, y, mean (SD) 30.25 (5.52) 30.94 (5.58) 0.126 
 Age categories, No. (%)   0.113 
   <20 11 580 (3.4) 6441 (2.8)  
   20–29 145 973 (43.1) 90 172 (38.9)  
   30–39 169 129 (50.0) 123 817 (53.5)  
   40+ 11 642 (3.4) 11 199 (4.8)  
 Income quintile, No. (%)   0.035 
   1 78 716 (23.9) 56 315 (25.2)  
   2 68 432 (20.8) 46 845 (20.9)  
   3 67 132 (20.4) 43 764 (19.5)  
   4 63 608 (19.3) 41 830 (18.7)  
   5 51 317 (15.6) 35 160 (15.7)  
 Location of residence, No. (%)   0.162 
   Urban 221 288 (65.6) 168 594 (73.0)  
   Semiurban 71 654 (21.1) 39 739 (17.2)  
   Rural 44 339 (13.1) 22 620 (9.8)  
 Coparents    
   No. of coparents 320 662 219 622  
   Age, mean (SD) 32.79 (6.33) 33.29 (6.42) 0.078 
Pregnancy conditions and risk factors    
 Parity, No. (%)   0.192 
   Nulliparous 196 826 (58.2) 112 694 (48.7)  
   Multiparous 141 487 (41.8) 118 932 (51.3)  
 Smoked during pregnancy, No. (%) 33 171 (9.8) 21 978 (9.5) 0.011 
 Diabetes, No. (%)a 23 403 (6.9) 24 553 (10.6) 0.131 
 Hypertension, No. (%)    
   Pregnancy-induced 13 333 (3.9) 13 839 (6.0) 0.094 
   Otherb 8332 (2.5) 10 140 (4.4) 0.106 
 Prepregnancy BMI, No. (%)   0.121 
   <18.5 18 375 (5.4) 11 102 (4.8)  
   18.5–24.9 231 814 (68.5) 148 857 (64.3)  
   25.0–29.9 56 713 (16.8) 42 687 (18.4)  
   ≥30.0 31 422 (9.3) 28 983 (12.5)  
 Prenatal antibiotic use 97 851 (28.9) 72 071 (31.1) 0.048 
Labor, delivery, and antenatal care characteristics    
 Year of delivery, No. (%)   0.247 
   2000–2004 117 007 (34.6) 56 488 (24.4)  
   2005–2009 115 348 (34.1) 80 723 (34.9)  
   2011–2014 105 969 (31.3) 94 418 (40.8)  
 Mode of delivery, No. (%)   0.919 
   Cesarean delivery 44 992 (13.3) 121 726 (52.6)  
   Vaginal delivery 293 332 (86.7) 109 903 (47.4)  
 Epidural use 82 352 (24.3) 85 122 (36.7) 0.272 
 Induction of labor, No. (%) 63 065 (18.6) 55 812 (24.1) 0.133 
 Augmentation of labor, No. (%) 136 409 (40.3) 83 536 (36.1) 0.088 
 Length of first stage of labor, h, No. (%)c   0.241 
   <4 106 654 (37.2) 35 077 (29.3)  
   4–7 100 340 (35.0) 39 541 (33.0)  
   8–11 45 250 (15.8) 22 120 (18.5)  
   12+ 34 332 (12.0) 22 942 (19.2)  
Neonatal characteristics    
 Sex, No. (%)   0.034 
   Male 171 326 (50.6) 121 237 (52.3)  
   Female 166 991 (49.4) 110 388 (47.7)  
 Birth weight, g, mean (SD) 3463.6 (491.4) 3393.1 (593.8) 0.129 
 Gestational age, wk, mean (SD) 38.98 (1.50) 38.46 (2.11) 0.286 
 Apgar score    
   At 5 min, mean (SD) 9.09 (0.71) 9.03 (0.80) 0.083 
   <7 at 5 min, No. (%) 4121 (1.2) 4320 (1.9) 0.052 
 Congenital malformation, No. (%) 16 784 (5.0) 14 007 (6.0) 0.048 
 Size at birth, No. (%)d    
   Small-for-gestational age 22 089 (6.5) 14 480 (6.3) 0.011 
   Large-for-gestational age 13 255 (3.9) 11 534 (5.0) 0.052 
 Admission to NICU, No. (%) 10 403 (3.1) 18 165 (7.8) 0.211 
 Neonatal antibiotic exposure 4154 (1.2) 8767 (3.8) 0.164 
 Length of follow-up, y, mean (SD) 9.11 (4.32) 8.14 (4.10) 0.231 
a

Consists of preexisting diabetes and gestational diabetes.

b

Consists of preexisting hypertension, hypertensive kidney disease, high blood pressure, and proteinuria.

c

From rupture of membranes to full cervical dilation, in hours.

d

Based on population-based charts of Kierans et al,17  which were created in BC.

TABLE 2

Characteristics by Antibiotic Exposure for the Group B Streptococcus-Positive Cohort (N = 79 260)

Antibiotics During Labor and DeliveryStandardized Mean DifferenceExposed (N = 69 019)
Not Exposed (N = 10 241)
Birth-parent sociodemographic characteristics 
 Age, y, mean (SD) 31.01 (5.40) 30.52 (5.48) 0.090   
 Age categories, No. (%) 0.076 
  <20 254 (2.5) 2088 (3.0)     
  20–29 3922 (38.3) 28 574 (41.4)     
  30–39 5650 (55.2) 35 786 (51.8)     
  40+ 415 (4.1) 2571 (3.7)     
 Income quintile, No. (%) 0.040 
  1 2155 (21.7) 15 460 (23.3)     
  2 2066 (20.8) 13 867 (20.9)     
  3 2022 (20.4) 13 410 (20.2)     
  4 2027 (20.4) 12 985 (19.5)     
  5 1651 (16.6) 10 767 (16.2)     
 Location of residence, No. (%) 0.076 
  Urban 6894 (67.5) 48 456 (70.4)     
  Semiurban 2024 (19.8) 13 181 (19.2)     
  Rural 1293 (12.7) 7182 (10.4)     
 Coparents 
  No. of coparents 9802 65 760     
  Age, mean (SD) 33.48 (6. 83) 32.93 (6.35) 0.087    
Pregnancy conditions and risk factors 
 Parity, No. (%) 0.333 
  Nulliparous 6624 (64.7) 33 401 (48.4)     
  Multiparous 3617 (35.3) 35 618 (51.6)     
 Smoked during pregnancy, No. (%) 816 (8.0) 6412 (9.3) 0.047   
 Diabetes, No. (%)a 708 (6.9) 6129 (8.9) 0.073   
 Hypertension, No. (%) 
  Pregnancy-induced 380 (3.7) 3675 (5.3) 0.078    
  Otherb 235 (2.3) 2361 (3.4) 0.068    
 Prepregnancy BMI, No. (%) 0.073 
  <18.5 481 (4.7) 3302 (4.8)     
  18.5–24.9 6916 (67.5) 44 371 (64.3)     
  25.0–29.9 1748 (17.1) 12 805 (18.6)     
  ≥30.0 1096 (10.7) 8541 (12.4)     
 Prenatal antibiotic use 2982 (29.1) 21 832 (31.6) 0.055   
Labor, delivery, and antenatal care characteristics 
 Year of delivery, No. (%) 0.091 
  2000–2004 862 (8.4) 4269 (6.2)     
  2005–2009 4742 (46.3) 31 720 (46.0)     
  2011–2014 4637 (45.3) 33 030 (47.9)     
 Mode of delivery, No. (%) 0.348 
  Cesarean delivery 823 (8.0) 13 744 (19.9)     
  Vaginal delivery 9418 (92) 55 275 (80.1)     
 Epidural use, No. (%) 1882 (18.4) 27 650 (40.1) 0.491   
 Induction of labor, No. (%) 1732 (16.9) 19 876 (28.8) 0.286   
 Augmentation of labor, No. (%) 2985 (29.1) 32 445 (47.0) 0.374   
 Length of first stage of labor, h, No. (%)c 0.402 
  <4 4708 (52.3) 19 058 (33.8)     
  4–7 2626 (29.2) 19 762 (35.1)     
  8–11 961 (10.7) 9630 (17.1)     
  12+ 699 (7.8) 7854 (13.9)     
Neonatal characteristics 
 Sex, No. (%) 0.029 
  Male 5122 (50.0) 35 529 (51.5)     
  Female 5117 (50.0) 33 489 (48.5)     
 Birth weight, g, mean (SD) 3468.8 (489.5) 3471.7 (495.6) 0.006   
 Gestational age, wk, mean (SD) 39.02 (1.50) 38.96 (1.55) 0.042   
 Apgar score 
  At 5 min, mean (SD) 9.08 (0.74) 9.04 (0.76 0.061    
  <7 at 5 min, No. (%) 158 (1.6) 1146 (1.7) 0.008    
 Congenital malformation, No. (%) 460 (4.5) 3435 (5.0) 0.023   
 Size at birth, No. (%)d 
  Small-for-gestational age 698 (6.8) 4324 (6.3) 0.022    
  Large-for-gestational age 404 (3.9) 2902 (4.2) 0.013    
 Admission to NICU, No. (%) 481 (4.7) 3801 (5.5) 0.037   
 Neonatal antibiotic exposure 328 (3.17) 2374 (3.4) 0.013   
 Length of follow-up, y, mean (SD) 7.17 (3.17) 6.99 (3.06) 0.059   
Antibiotics During Labor and DeliveryStandardized Mean DifferenceExposed (N = 69 019)
Not Exposed (N = 10 241)
Birth-parent sociodemographic characteristics 
 Age, y, mean (SD) 31.01 (5.40) 30.52 (5.48) 0.090   
 Age categories, No. (%) 0.076 
  <20 254 (2.5) 2088 (3.0)     
  20–29 3922 (38.3) 28 574 (41.4)     
  30–39 5650 (55.2) 35 786 (51.8)     
  40+ 415 (4.1) 2571 (3.7)     
 Income quintile, No. (%) 0.040 
  1 2155 (21.7) 15 460 (23.3)     
  2 2066 (20.8) 13 867 (20.9)     
  3 2022 (20.4) 13 410 (20.2)     
  4 2027 (20.4) 12 985 (19.5)     
  5 1651 (16.6) 10 767 (16.2)     
 Location of residence, No. (%) 0.076 
  Urban 6894 (67.5) 48 456 (70.4)     
  Semiurban 2024 (19.8) 13 181 (19.2)     
  Rural 1293 (12.7) 7182 (10.4)     
 Coparents 
  No. of coparents 9802 65 760     
  Age, mean (SD) 33.48 (6. 83) 32.93 (6.35) 0.087    
Pregnancy conditions and risk factors 
 Parity, No. (%) 0.333 
  Nulliparous 6624 (64.7) 33 401 (48.4)     
  Multiparous 3617 (35.3) 35 618 (51.6)     
 Smoked during pregnancy, No. (%) 816 (8.0) 6412 (9.3) 0.047   
 Diabetes, No. (%)a 708 (6.9) 6129 (8.9) 0.073   
 Hypertension, No. (%) 
  Pregnancy-induced 380 (3.7) 3675 (5.3) 0.078    
  Otherb 235 (2.3) 2361 (3.4) 0.068    
 Prepregnancy BMI, No. (%) 0.073 
  <18.5 481 (4.7) 3302 (4.8)     
  18.5–24.9 6916 (67.5) 44 371 (64.3)     
  25.0–29.9 1748 (17.1) 12 805 (18.6)     
  ≥30.0 1096 (10.7) 8541 (12.4)     
 Prenatal antibiotic use 2982 (29.1) 21 832 (31.6) 0.055   
Labor, delivery, and antenatal care characteristics 
 Year of delivery, No. (%) 0.091 
  2000–2004 862 (8.4) 4269 (6.2)     
  2005–2009 4742 (46.3) 31 720 (46.0)     
  2011–2014 4637 (45.3) 33 030 (47.9)     
 Mode of delivery, No. (%) 0.348 
  Cesarean delivery 823 (8.0) 13 744 (19.9)     
  Vaginal delivery 9418 (92) 55 275 (80.1)     
 Epidural use, No. (%) 1882 (18.4) 27 650 (40.1) 0.491   
 Induction of labor, No. (%) 1732 (16.9) 19 876 (28.8) 0.286   
 Augmentation of labor, No. (%) 2985 (29.1) 32 445 (47.0) 0.374   
 Length of first stage of labor, h, No. (%)c 0.402 
  <4 4708 (52.3) 19 058 (33.8)     
  4–7 2626 (29.2) 19 762 (35.1)     
  8–11 961 (10.7) 9630 (17.1)     
  12+ 699 (7.8) 7854 (13.9)     
Neonatal characteristics 
 Sex, No. (%) 0.029 
  Male 5122 (50.0) 35 529 (51.5)     
  Female 5117 (50.0) 33 489 (48.5)     
 Birth weight, g, mean (SD) 3468.8 (489.5) 3471.7 (495.6) 0.006   
 Gestational age, wk, mean (SD) 39.02 (1.50) 38.96 (1.55) 0.042   
 Apgar score 
  At 5 min, mean (SD) 9.08 (0.74) 9.04 (0.76 0.061    
  <7 at 5 min, No. (%) 158 (1.6) 1146 (1.7) 0.008    
 Congenital malformation, No. (%) 460 (4.5) 3435 (5.0) 0.023   
 Size at birth, No. (%)d 
  Small-for-gestational age 698 (6.8) 4324 (6.3) 0.022    
  Large-for-gestational age 404 (3.9) 2902 (4.2) 0.013    
 Admission to NICU, No. (%) 481 (4.7) 3801 (5.5) 0.037   
 Neonatal antibiotic exposure 328 (3.17) 2374 (3.4) 0.013   
 Length of follow-up, y, mean (SD) 7.17 (3.17) 6.99 (3.06) 0.059   
a

Consists of preexisting diabetes and gestational diabetes.

b

Consists of preexisting hypertension, hypertensive kidney disease, high blood pressure, and proteinuria.

c

From rupture of membranes to full cervical dilation, in hours.

d

Based on population-based charts of Kierans et al,17  which were created in BC.

By the end of follow-up on December 31, 2016, there were 8729 children (1.53%) who had been diagnosed with ASD. Of note, 72% of these diagnoses were made by clinicians in the BCAAN and the remaining 28% were diagnosed by private practitioners in the province. Of the children who were exposed to antibiotics during labor and delivery, 1.66% received an ASD diagnosis. In the group of children who were unexposed during labor and delivery, 1.44% received an ASD diagnosis. The unadjusted risk difference was 0.22%.

The association between ASD and exposure to antibiotics during labor and delivery had an unadjusted HR of 1.29 (95% CI 1.24–1.35; Table 3; Fig 2). After adjusting for birth-parent sociodemographic characteristics, pregnancy conditions and risk factors, labor, delivery and antenatal care characteristics, and neonatal characteristics, the association attenuated to the null with an HR of 0.99 (95% CI 0.94–1.04).

TABLE 3

Autism Risk and Perinatal Antibiotics in the Main Cohort

Antibiotics During Labor and Delivery, No. (%)Unadjusted Risk DifferenceUnadjusted HR (95% CI)Fully Adjusted HR (95% CI)a
UnexposedExposed
No. of children 338 324 231 629 569 953 569 953 523 658 
ASD cases 4875 (1.44) 3854 (1.66) 0.0022 1.29 (1.24–1.35) 0.99 (0.94–1.04) 
Length of first stage of laborb 
 <4 h  
  No. of children 106 654 35 077 141 731 141 731 130 855 
  ASD cases 1329 (1.25) 525 (1.5) 0.0025 1.24 (1.12–1.38) 1.06 (0.95–1.19) 
 4–7 h  
  No. of children 100 340 39 541 139 881 139 881 128 593 
  ASD cases 1342 (1.34) 576 (1.46) 0.0088 1.13 (1.03–1.25) 0.95 (0.85–1.06) 
 8–11 h  
  No. of children 45 250 22 120 67 370 67 370 61 608 
  ASD cases 667 (1.47) 390 (1.76) 0.0029 1.24 (1.10–1.41) 1.03 (0.90–1.18) 
 12+ h  
  No. of children 34 332 22 942 57 274 57 274 52 163 
  ASD cases 535 (1.56) 417 (1.82) 0.0026 1.17 (1.03–1.33) 1.02 (0.88–1.17) 
Exposed to both prenatal and labor and delivery antibiotics 
 No. of children 497 882 72 071 569 953 569 953 523 658 
 ASD cases 7485 (1.50) 1244 (1.73) 0.0022 1.21 (1.14–1.29) 1.02 (0.96–1.09) 
Exposed to both labor and delivery and neonatal antibiotics 
 No. of children 56 1186 8767 569 953 569 953 523 658 
 ASD cases 8559 (1.53) 170 (1.94) 0.0041 2.31 (1.98–2.69) 1.14 (0.96–1.34) 
Antibiotics During Labor and Delivery, No. (%)Unadjusted Risk DifferenceUnadjusted HR (95% CI)Fully Adjusted HR (95% CI)a
UnexposedExposed
No. of children 338 324 231 629 569 953 569 953 523 658 
ASD cases 4875 (1.44) 3854 (1.66) 0.0022 1.29 (1.24–1.35) 0.99 (0.94–1.04) 
Length of first stage of laborb 
 <4 h  
  No. of children 106 654 35 077 141 731 141 731 130 855 
  ASD cases 1329 (1.25) 525 (1.5) 0.0025 1.24 (1.12–1.38) 1.06 (0.95–1.19) 
 4–7 h  
  No. of children 100 340 39 541 139 881 139 881 128 593 
  ASD cases 1342 (1.34) 576 (1.46) 0.0088 1.13 (1.03–1.25) 0.95 (0.85–1.06) 
 8–11 h  
  No. of children 45 250 22 120 67 370 67 370 61 608 
  ASD cases 667 (1.47) 390 (1.76) 0.0029 1.24 (1.10–1.41) 1.03 (0.90–1.18) 
 12+ h  
  No. of children 34 332 22 942 57 274 57 274 52 163 
  ASD cases 535 (1.56) 417 (1.82) 0.0026 1.17 (1.03–1.33) 1.02 (0.88–1.17) 
Exposed to both prenatal and labor and delivery antibiotics 
 No. of children 497 882 72 071 569 953 569 953 523 658 
 ASD cases 7485 (1.50) 1244 (1.73) 0.0022 1.21 (1.14–1.29) 1.02 (0.96–1.09) 
Exposed to both labor and delivery and neonatal antibiotics 
 No. of children 56 1186 8767 569 953 569 953 523 658 
 ASD cases 8559 (1.53) 170 (1.94) 0.0041 2.31 (1.98–2.69) 1.14 (0.96–1.34) 
a

Adjusted for birth-parent age, income quintile, location of residence (urban, semiurban, or rural), coparent age, nulliparity, smoking during pregnancy, gestational or preexisting diabetes, pregnancy-induced hypertension, other hypertension, prepregnancy BMI, prenatal antibiotic exposure, year of delivery, mode of delivery, infant’s sex, birth weight, neonatal antibiotic exposure, gestational age, and size-for-gestational age.

b

From rupture of membranes to full cervical dilation, in hours.

FIGURE 2

Forest plot outlining the HRs of ASD in the main cohort.

FIGURE 2

Forest plot outlining the HRs of ASD in the main cohort.

Close modal

Sensitivity Analysis

Upon categorizing deliveries on the basis of length of first stage of labor, prenatal with labor and delivery antibiotic status, and labor and delivery with neonatal antibiotic status, results from the main cohort remained consistent in terms of direction and effect size (Table 3; Fig 2). For all lengths of labor and antibiotic exposure subcohorts that we analyzed, the unadjusted HR suggested an increased risk associated with antibiotic exposure, but there was no statistically significant association between antibiotic exposure and ASD in the fully adjusted models.

GBS-Positive Cohort

Of children who were exposed to antibiotic prophylaxis for GBS during labor and delivery, 1.41% received an ASD diagnosis, whereas 1.46% of unexposed children received an ASD diagnosis (Table 4; Fig 3). The unadjusted risk difference was 0.06%. Results differed from the main cohort in terms of effect size and direction. Every model, even unadjusted, reported no statistically significant association between antibiotic exposure and ASD (HR 1.07 [95% CI 0.90–1.27]). Sensitivity analyses based on length of first stage of labor, as well as exposure to both prenatal and labor and delivery antibiotics and both labor and delivery and neonatal antibiotics, were also conducted for this GBS-positive cohort. Results showed no substantial difference in the observed associations (Table 4; Fig 3).

TABLE 4

Autism Risk and Perinatal Antibiotics in the Group B Streptococcus-Positive Cohort

Antibiotics During Labor and Delivery, No. (%)Unadjusted Risk DifferenceUnadjusted HR (95% CI)Fully adjusted HRs (95% CI)a
UnexposedExposed
No. of children 10 241 69 019 79 260 79 260 72 760 
ASD cases 144 (1.41) 1011 (1.46) 0.0006 1.07 (0.90–1.27) 0.88 (0.74–1.05) 
Length of first stage of laborb 
 <4 h  
  No. of children 4708 19 058 23 766 23 766 22 023 
  ASD cases 55 (1.17) 238 (1.25) 0.0008 1.09 (0.82–1.46) 0.98 (0.72–1.32) 
 4–7 h  
  No. of children 10 241 69 019 79 260 79 260 72 760 
  ASD cases 144 (1.41) 1011 (1.46) 0.0006 1.07 (0.90–1.27) 0.88 (0.74–1.05) 
 8–11 h  
  No. of children 961 9630 10 591 10 591 9718 
  ASD cases 19 (1.98) 141 (1.46) −0.0051 0.76 (0.47–1.23) 0.64 (0.39–1.04) 
 12+ h  
  No. of children 699 7854 8553 8553 7769 
  ASD cases 9 (1.29) 143 (1.82) 0.0053 1.41 (0.72–2.76) 1.25 (0.61–2.57) 
Exposed to both prenatal and labor and delivery antibiotics 
 No. of children 57 428 21 832 79 260 79 260 72 760 
  ASD cases 835 (1.45) 320 (1.47) 0.0001 1.00 (0.88–1.14) 1.00 (0.87–1.16) 
Exposed to both labor and delivery and neonatal antibiotics 
 No. of children 76 886 2374 79 260 79 260 72 760 
  ASD cases 1128 (1.47) 27 (1.14) −0.0033 1.18 (0.80–1.72) 0.78 (0.51–1.19) 
Antibiotics During Labor and Delivery, No. (%)Unadjusted Risk DifferenceUnadjusted HR (95% CI)Fully adjusted HRs (95% CI)a
UnexposedExposed
No. of children 10 241 69 019 79 260 79 260 72 760 
ASD cases 144 (1.41) 1011 (1.46) 0.0006 1.07 (0.90–1.27) 0.88 (0.74–1.05) 
Length of first stage of laborb 
 <4 h  
  No. of children 4708 19 058 23 766 23 766 22 023 
  ASD cases 55 (1.17) 238 (1.25) 0.0008 1.09 (0.82–1.46) 0.98 (0.72–1.32) 
 4–7 h  
  No. of children 10 241 69 019 79 260 79 260 72 760 
  ASD cases 144 (1.41) 1011 (1.46) 0.0006 1.07 (0.90–1.27) 0.88 (0.74–1.05) 
 8–11 h  
  No. of children 961 9630 10 591 10 591 9718 
  ASD cases 19 (1.98) 141 (1.46) −0.0051 0.76 (0.47–1.23) 0.64 (0.39–1.04) 
 12+ h  
  No. of children 699 7854 8553 8553 7769 
  ASD cases 9 (1.29) 143 (1.82) 0.0053 1.41 (0.72–2.76) 1.25 (0.61–2.57) 
Exposed to both prenatal and labor and delivery antibiotics 
 No. of children 57 428 21 832 79 260 79 260 72 760 
  ASD cases 835 (1.45) 320 (1.47) 0.0001 1.00 (0.88–1.14) 1.00 (0.87–1.16) 
Exposed to both labor and delivery and neonatal antibiotics 
 No. of children 76 886 2374 79 260 79 260 72 760 
  ASD cases 1128 (1.47) 27 (1.14) −0.0033 1.18 (0.80–1.72) 0.78 (0.51–1.19) 
a

Adjusted for birth-parent age, income quintile, location of residence (urban, semiurban, or rural), coparent age, nulliparity, smoking during pregnancy, gestational or preexisting diabetes, pregnancy-induced hypertension, other hypertension, prepregnancy BMI, prenatal antibiotic exposure, year of delivery, mode of delivery, infant’s sex, birth weight, neonatal antibiotic exposure, gestational age, and size-for-gestational age.

b

From rupture of membranes to full cervical dilation, in hours.

FIGURE 3

Forest plot outlining the HRs of ASD in the GBS-positive cohort.

FIGURE 3

Forest plot outlining the HRs of ASD in the GBS-positive cohort.

Close modal

Stratified Analyses

After stratifying the analysis by sex, the male cohort included 292 563 children, whereas the female cohort consisted of 277 379 children. Among males, 2.64% of children exposed to antibiotics during labor and delivery and 2.32% of unexposed children received an ASD diagnosis (unadjusted risk difference of 0.32%). Among females, 0.59% of exposed children and 0.54% of unexposed children received an ASD diagnosis (unadjusted risk difference of 0.06%). Results were consistent with the main cohort regarding direction of association and effect size (Supplemental Tables 5, 6, 7, and 8). The analyses were additionally stratified by mode of delivery, with no substantial variation in the associations observed after adjusting for covariates in the different models (Supplemental Tables 9 and 10).

In this population-based study in BC, we observed no significant association between antibiotic use during labor and delivery and ASD after controlling for birth-parent sociodemographic and pregnancy-related conditions and risk factors, as well as labor, delivery, and neonatal characteristics. We conducted sensitivity analyses using length of first stage of labor as a proxy measure for dose to assess for a dose–response relationship. Additionally, we studied subcohorts of children who were exposed to both prenatal and labor and delivery antibiotics, and children who were exposed to both labor and delivery and neonatal antibiotics. Our results showed no substantial difference in the association between antibiotic exposure and ASD depending on length of the first stage of labor or combined antibiotic statuses.

Our findings are consistent with a previous population-based, case-control study which found no significant association between peripartum antibiotic exposure and ASD in the offspring.26  However, those study results were weakened by a small sample size, wide CIs, and imprecise estimates. Our null findings could be because of the magnitude of microbial change being too small to impact neurodevelopment or that the duration of antibiotic exposure was too short to produce an impactful change in the vaginal microbiome. Further research is needed to investigate longer durations of antibiotic use throughout pregnancy and its association with ASD.

Recent research has suggested a role of the childhood microbiome–gut–brain axis in the pathogenesis of ASD; thus, highlighting exposures that alter the microbiome as risk factors of ASD development.6,7  Several studies have shown that intrapartum antibiotic prophylaxis reduces the microbial diversity of infants.2729  Further, studies reported that infants who were exposed to antibiotics during the intrapartum or peripartum period had significant changes in both the quantities and diversity of microbial composition that continued until at least 1 year of age.30,31  Despite these findings, research following intrapartum antibiotic prophylaxis-exposed infants through to examine clinical neurodevelopmental outcomes is limited.32  Our study helped to address this knowledge gap by assessing the association between antibiotic use during labor and delivery with the risk of ASD in offspring. Our findings provide reassurance that this common obstetrical practice does not increase the risk of ASD.

This study has multiple strengths. First, the study population included all deliveries that occurred in BC during the designated study period, thus eliminating selection bias. Second, we were able to assess the association between antibiotic use and ASD in a group of deliveries that were given antibiotics for the same indication, birth-parent GBS. This provided a unique way to address confounding by indication, which has been a key limitation of previous research exploring associations with antibiotic exposure.33,34  Further, through linkage with the BCAAN, we gained prospectively collected clinical gold standard diagnostic data for our ASD outcome. Many epidemiologic studies have used diagnostic codes from administrative data sets for outcome ascertainment. Recent research has found that this is not the most reliable method to identify ASD cases, and although it may produce a good positive predictive value, the negative predictive value is of concern.35  Finally, antibiotic exposure data came from the BC Perinatal Data Registry. A validation study of the registry was previously conducted and determined that its clinical variables on interventions during labor and delivery have overall excellent validity.36 

This study has several limitations. Apart from GBS infection, we were unable to identify the other indications for antibiotic use during labor and delivery in the main cohort. Stratifying by multiple indications for antibiotic use, especially by those of differing severity, would provide a deeper understanding into the potential role of confounding by indication. We were also unable to observe the exact number of doses and specific durations of intrapartum antibiotic exposure. It is likely that a higher number of doses and a longer cumulative duration of exposure would have a more significant impact on the vaginal microbiome and the initial colonization of the infant’s microbiome; thus, future research with data on the number of doses and durations of antibiotic exposure is needed for a strong assessment of a dose–response relationship between perinatal antibiotic exposure and ASD. In addition, we were unable to identify the specific classes of antibiotics administered or the ethnicities of the birth parents included in our cohort. Our GBS-positive cohort had a smaller sample size, which widened CIs and resulted in less-precise risk estimates. Moreover, since this study has an observational design, some residual confounding likely remains. This is apparent when observing important differences between characteristics of deliveries in which antibiotics were administered and not administered. These differences were particularly evident among variables that suggest a worse prognosis for birth parents, such as diabetes, larger prepregnancy BMIs, higher prevalence of labor induction and augmentation, increased epidural usage, and a greater number of NICU admissions.

In this population-based study, antibiotic use during labor and delivery was not statistically significantly associated with an increased risk of ASD in the offspring. Our findings suggest that concern for ASD should not factor into the clinical decision on whether to administer antibiotics during labor and delivery for any indication. Future research should investigate the impact of longer periods of antibiotic exposure during pregnancy, and exposure by antibiotic class, on the risk of ASD while continuing to address confounding by indication.

Ms Nitschke and Drs Hanley and Oberlander conceptualized and designed the study, conducted statistical analysis, interpreted the data, drafted the initial manuscript; Dr Vallance participated in the conceptualization of the study and interpretation of the data; Ms Karim participated in the conceptualization and design of the study, and conducted initial analyses; Drs Ip, Nancy Lanphear, Bruce Lanphear, and Weikum, and Ms Bickford provided administrative, technical, or material support; and all authors critically reviewed and revised the manuscript, approved the final manuscript as submitted, and agree to be accountable for all aspects of the work.

DISCLAIMER: Access to data provided by the data stewards is subject to approval, but can be requested for research projects through the data stewards or their designated service providers. All inferences, opinions, and conclusions drawn in this publication are those of the author(s), and do not reflect the opinions or policies of the data stewards (the British Columbia Ministry of Health, the British Columbia Perinatal Data Registry, the British Columbia Central Demographics File, the British Columbia Vital Statistics Agency, and the British Columbia Autism Assessment Network).

FUNDING: Funded by a Canadian Institutes of Health Research (CIHR) operating grant and by the British Columbia Children’s Hospital Foundation. Dr Hanley is funded by a CIHR New Investigator Award and a Michael Smith Foundation for Health Research Scholar Award. Ms Nitschke received funding support from the CIHR Frederick Banting and Charles Best Canada Graduate Scholarship. The funders had no role in the design or conduct of the study.

CONFLICT OF INTEREST DISCLAIMER: Dr Weikum disclosed that the British Columbia Children’s Hospital Foundation funds a portion of her salary. All other authors have indicated they have no conflicts of interest relevant to this article to disclose.

ASD

autism spectrum disorder

BC

British Columbia

BCAAN

British Columbia Autism Assessment Network

CI

confidence interval

GBS

group B Streptococcus

HR

hazard ratio

IAP

intrapartum antibiotic prophylaxis

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Supplementary data