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. 2016 Oct 18;6:34852. doi: 10.1038/srep34852

Ozone and Other Air Pollutants and the Risk of Congenital Heart Defects

Bin Zhang 1,*, Jinzhu Zhao 1,*, Rong Yang 1,*, Zhengmin Qian 2, Shengwen Liang 3, Bryan A Bassig 4, Yiming Zhang 1, Ke Hu 3, Shunqing Xu 5, Guanghui Dong 6, Tongzhang Zheng 7,a, Shaoping Yang 1,b
PMCID: PMC5067649  PMID: 27752048

Abstract

The objective of this study was to evaluate whether high levels of maternal exposure to O3, SO2, NO2, CO are related to increased risk of congenital heart defects (CHDs) in Wuhan, China. The study included mothers living in the central districts of Wuhan during pregnancy over the two-year period from June 10, 2011 to June 9, 2013. For each study participant, we assigned 1-month averages of O3, SO2, NO2 and CO exposure based on measurements obtained from the nearest exposure monitor to the living residence of mothers during their early pregnancy period. In one-pollutant model, we observed an increased risk of CHDs, ventricular septal defect (VSD), and tetralogy of fallot (TF) with increasing O3 exposure. In two-pollutant model, associations with all CHDs, VSD, and TF for O3 were generally consistent compared to the models that included only O3, with the strongest aORs observed for exposures during the third month of pregnancy. We also observed a positive association between CO exposures during the third month of pregnancy and VSD in two pollution model.Our results contribute to the small body of evidence regarding air pollution exposure and CHDs, but confirmation of these associations will be needed in future studies.


An increasing number of epidemiologic studies have examined whether air pollution exposure is associated with risk of adverse birth outcomes1,2. Some studies have found strong evidence for an association between exposure to air pollution and infant mortality, particularly postneonatal respiratory mortality and low birth weight3,4,5. In addition, some studies have found that exposure to air pollutants during specific time periods during pregnancy are related to some cardiac anomalies6,7,8,9,10. However, the evidence is limited, and previous epidemiological studies have suggested conflicting results, which may due to the limited number of studies as well as bias and confounding, chance findings, and limitations in exposure assessment.

Congenital heart defects (CHDs) are the most common severe congenital anomalies and are the leading cause of infant mortality due to congenital anomalies11. The precise aetiology of most congenital anomalies is suggested to be multifactorial, with environmental exposures such as air pollution suspected to have a role12. Possible mechanisms for the teratogenicity of air pollutants may manifest through the cardiovascular system involving oxidative stress, inflammation, coagulation, endothelial function, hemodynamic responses12,13, and indirect effects through maternal immune effects3. These mechanisms provide biological rationale for the evaluation of the relationship between exposure to air pollution and congenital heart defects.

A recent meta-analysis that combined the results from four individual studies reported that NO2 was significantly associated with coarctation of the aorta8. Another meta-analysis that combined results from four studies reported associations between NO2 exposure and Tetralogy of Fallot (TF), and between SO2 exposure and coarctation of the aorta14. However, the summary risk estimates were based on a small number of studies, and few specific types of congenital heart defects were explored. Compared to those literatures published in the United States and Europe, a very limited study has been published on the association between ambient air pollution and CHDs in Asia. And almost all prior studies were conducted in developed countries, which may have lower pollution levels and hence narrower ranges of exposure. In contrast, very few studies have been conducted in developing countries where air pollution is usually high (Table 1).

Table 1. Characteristics of ambient air pollutants based in Wuhan 2011–2013, and findings from published studies investigating ambient air pollution of O3, SO2, NO2 and CO and the occurrence of CHDs.

Study Study location Period Design Exposure assessment methods Results Air Pollutants Mean Minimum 25th percentile Median 75th percentile Maximum IQR
The current study China 2011–2013 Cohort Average of daily concentration of pollutants measured at nearest monitoring station O3 exposure and CHDs overall, and VSD and TF individually O3 72.4 μg/m3 1 μg/m3 31.9 μg/m3 63.6 μg/m3 106 μg/m3 334.3 μg/m3 74.1 μg/m3
(36.9 ppb) (0.5 ppb) (16.3 ppb) (32.4 ppb) (54 ppb) (170 ppb) (37.7 ppb)
SO2 38.5 μg/m3 2 μg/m3 18 μg/m3 32.6 μg/m3 53.9 μg/m3 261 μg/m3 35.9 μg/m3
(14.7 ppb) (0.8 ppb) (6.9 ppb) (12.5 ppb) (20.6 ppb) (99.6 ppb) (13.7 ppb)
NO2 59.6 μg/m3 7.1 μg/m3 38 μg/m3 55.8 μg/m3 77 μg/m3 174 μg/m3 39 μg/m3
(31.7 ppb) (3.8 ppb) (20.2 ppb) (29.6 ppb) (40.9 ppb) (92.5 ppb) (20.7 ppb)
CO 1.0 mg/m3 0.02 mg/m3 0.71 mg/m3 1 mg/m3 1.3 mg/m3 4.3 mg/m3 0.59 mg/m3
(0.91 ppm) (0.01 ppm) (0.62 ppm) (0.85 ppm) (1.1 ppm) (3.8 ppm) (0.48 ppm)
Gianicolo et al.34 Southern Italy 2001–2010 Case-control Daily average exposure measured by 3 monitoring stations over week 3-8 of pregnancy Exposure to the 90th percentile of SO2 to be associated with CHDs SO2 2.8μg/m3
Schembari et al.6 Barcelona 1994–2006 Case-control Daily spatio-temperal air pollutants estimates over week 3–8 of pregnancy A significant association between NO2 and coarctation of the aorta NO2 55.7 μg/m3 12.2 μg/m3
Stingone et al.15 Nine U.S.states 1997–2006 Case-control Daily maximum concentrations using the closest air monitor within 50 km to their residence NO2 was associated with coarctation of the aorta and pulmonary valve stenosis. O3 32.2ppb 42.9ppb 51.8ppb
SO2 9.7ppb  
NO2 33.3ppb
CO 1.16ppm
Agay-Shay et al.11 Israel 2000–2006 Cohort Geographic Information System-based spatiotemporal approach with weekly inverse distance weighting modeling No significant association had been revealed O3 0.45ppb 7.8ppb 26.5ppb 39.1ppb 128ppb
SO2 0.33ppb 1.5ppb 2.1ppb 3.3ppb 51.4ppb
NO2 0.2ppb 15.6ppb 23.1ppb 32.3ppb 104.5ppb
CO 0.15ppm 0.7ppm 0.9ppm 1.3ppm 13.5ppm  
Padula et al.26 San Joaquin Valley of California 1997–2006 Case-control Daily average concentration during the first two months from from more than 20 locations with a maximum interpolation radius of 50 km. No significant association had been revealed O3(8-h maximum) 10.49ppb 29.05ppb 46.94ppb 62.64ppb 91.92ppb
NO2 2.4 ppb 13.36 ppb 16.81 ppb 20.53 ppb 38.93 ppb
CO 0.13 ppm 0.39 ppm 0.52 ppm 0.71 ppm 1.37 ppm
Vinikoor-Imler et al.16 North Carolina 2003–2005 Cohort Estimated averaged concentration across weeks 3 through 8 for 12 km x 12 km grid. No significant association had been revealed O3 40.7 ppb 42.15 ppb 30.19 ppb
Dadvand et al.19 Northeast England 1993–2003 Case-control Weekly average of pollutants at nearest of 6 monitors to maternal residence No significant association between SO2 and CHDs SO2 17.6 μg/m3 31.2 μg/m3
Dadvand et al.22 Northeast England 1985–1996 Case-control Two-stage spaiotemporal modeling of weekly exposure levels at maternal residence Exposure to CO to be associated with VS,DCSM and CPVS. NO was associated with TF. O3 33.2 μg/m3 42.4 μg/m3
NO2 29.2 μg/m3 38.4 μg/m3
CO 0.39 mg/m3 0.64 mg/m3
Dolk et al.3 England 1991–1999 Cohort Estimated annual mean of air pollution for 1 km x 1 km grid A significant association between SO2 and TF SO2 7.86 μg/m3
NO2 35.11μg/m3
Hansen et al.35 Brisbane, Australia 1997–2004 Case-control Daily averaged measurements of air pollution at 18 nearest monitoring stations. O3 was associated with an increased risk of pulmonary artery and valve defects, SO2 was associated with an increased risk of aortic artery and valve defects O3 25.8 ppb 4.3 ppb 54.4 ppb
SO2 1.5 ppb 0 ppb 7.1 ppb  
NO2 8.2 ppb 1.4 ppb 22.7 ppb  
CO 1.1 ppm 0.02 ppm 7 ppm            
Rankin et al.36 Northern region, UK 1985–1990 Case-control Daily average concentration during the first trimester from 62 monitors within 10 km of the mother’s residence. No significant association between SO2 exposure and CHDs SO2     2.7 μg/m3   4.4 μg/m3    
Strickland et al.35 Atlanta, USA 1986–2003 Cohort Average of daily measuremtns of pollutants from one central monitoring station No significant association between SO2, O3, NO2, and CO exposure and CHDs O3 29.9 ppb
SO2 4.0 ppb
NO2 5.7 ppb
CO 0.3 ppm
Ritz et al.9 California, USA 1987–1993 Case-control Average of 24-hr measurements of pollutants at nearest monitoring station Second-month CO exposure was associated with an increased risk of VSD O3 1.06 pphm 1.94 pphm 2.84 pphm
CO 1.14 ppm 1.6 ppm 2.47 ppm

We conducted a cohort study in Wuhan, China, Asia and developed countries to examine the association between maternal exposure to ambient air pollutants and congenital anomalies. Our study included a large, geographically defined population of 105,988 births among women in Wuhan, one of the most polluted cities in China.

Methods

Study population

This study used a population-based cohort design. All births delivered between June 10, 2011 to June 9, 2013 were abstracted from a perinatal health care system from Wuhan Medical & Healthcare Center for Women and Children (WMHCWC), which was one of the first three centers in China to standardize its women and children’s health information system. The perinatal health care system is a standardized, computer-based database that includes data collected prospectively on all births, and has accrued approximately 100,000 annual births from nearly all maternity units in Wuhan since its start in 2003. In addition, the database includes information on other characteristics including maternal age, education, parity, infant sex, and season of conception. Births enrolled in our study included live-born infants, stillbirths, and fetal deaths. The study only included mothers living in the central districts of Wuhan during pregnancy. A total of 105,988 admissions and 188 congenital heart defects were collected by our monitoring systems during the study period.

We included cases of selected congenital anomalies among live births, stillbirths after 20 weeks of gestation, as well as pregnancies that were terminated following a prenatal diagnosis of either isolated or multiple congenital heart defects. Cases were diagnosed from clinical, surgical, or autopsy reports, and were coded according to the International Classification of Diseases, 10th Revision (ICD-10). We included in this study only anomaly types that are well defined and recorded, specifically all congenital heart defects combined (Q20–Q28) and the two most common subgroups of cardiac anomalies individually, namely VSD (Q21.0) and TF (Q21.3). Cases with chromosomal anomalies were ineligible for the study, as these may be associated with congenital anomalies of interest in this study and are unlikely to be related to air pollution exposure15.

The study protocol was reviewed and approved by the Health Department of Hubei Province and the Institutional Review Board at Wuhan Women and Children Health Care Center.

Maternal exposure assessment

We used ambient air monitoring data for carbon monoxide (CO), nitrogen dioxide (NO2), ozone (O3), and sulfur dioxide (SO2), which was collected by the Wuhan Environmental Monitoring Center at nine national ambient air quality automatic monitoring stations. Hourly readings were obtained for CO, NO2, SO2 and O3. A daily average was calculated for CO, NO2 and SO2, whereas an 8-hour average was calculated for O3. All pollutants were monitored at all 9 national stations for the entire study period. The stations were located predominantly in the central districts of Wuhan. The collection of air pollutants and installation of air quality monitoring stations was in strict accordance with the monitoring rules on environmental air quality in China, which is a multi-dimensional environmental standard system. It includes quality standards, emission standards, monitoring standards, management standards, and basic standards16. For the rules of selection of ambient air quality monitoring stations, it dictates that monitoring stations should not be located directly near traffic and other large emitters (eg industrial sources, incinerators etc) and were mandated not to be influenced by local air pollution in general. Thus the data from the monitoring stations should reflect the general background urban air pollution level rather than local sources (eg, traffic or industrial combustion)17,18. Concentrations of CO, NO2, O3, and SO2 were assigned to each maternal residence based on the nearest monitor to the residential address reported at the time of the first routine physical examination.

Concentrations of CO, NO2, O3, and SO2 were assigned to each maternal residence based on the nearest monitor to the residential address reported at the time of the first routine physical examination. By using the estimated date of conception, 14 days from the recorded last menstrual period (LMP), the exposure assessment was performed for the first three months of pregnancy, and we averaged the 24-hr or 8-hr measurements for the first three months of pregnancy. We assigned 1-month averages of the daily values for CO, NO2, O3 and SO2, and assigned 1-week averages of the daily values for O3 for each study participant. We restricted our population to those pregnancies with data available on ≥10 days of each month of the first trimester. This resulted in 97.5–98.9% of the original population for CO, NO2 SO2 and O3. The median distance between the closest monitoring station and the mother’s residence community center was 3.1 KM (0.1 KM–6.0 KM) for CO, NO2, O3 and SO2.

Statistical methods

Multivariable logistic regression analyses were used to estimate the adjusted ORs and 95% confidence intervals (CI) for the association between exposure to the air pollutants and the risk of congestive heart defects. Based on existing literature and the characteristics of the study population9,11,19,20, we consider the variables listed below as major potential confounders and/or effect modifiers: maternal age (<25, 25–35, and >35 years), education (<12, 12, 13–15, >15 years), parity (1, >1), infant sex (male, female), and season of conception (Spring: March–May; Summer: June–August; Fall: September–November; and Winter: December–February).

We constructed one-pollutant models to explore associations between individual pollutants using the monthly exposure assessment and risk of CHDs overall, VSD, and TF. Evaluation of other individual defects was not possible because of the small sample sizes. We conducted two-pollutant models to tease out the effects between the regional pollutants (O3 and SO2) and local pollutants (CO and NO2), without concerning on potential confounding by co-pollutants. Finally, we fitted two-pollutant models with O3 and another pollutant. The two-pollutant models provide estimates of the independent effects of CO, NO2, SO2, and O3 on CHD controlling for the second pollutant in the model. We also explored the associations with these outcomes for weekly O3 exposure levels (up to 12 weeks) because of uncertainty regarding specific windows of susceptibility and the lack of clearly elucidated mechanisms by which cardiac development could be disrupted by exposure to air pollution21.

We present the effect of each pollutant on the risk of CHDs as aORs per a 10-μg/m3 change for O3, NO2, and SO2 and per 100-μg/m3 change for CO, along with their 95% CIs. Pearson correlation coefficients were calculated to measure the associations between two air pollutants. Analyses were conducted using SAS 9.3(SAS Institute Inc., Cary, North Carolina) and P < 0.05 was considered statistically significant.

Results

Characteristics of the subjects

The distribution of demographic factors of the birth cohort is presented in Table 2. There were 105,988 births during the study period that met the study inclusion criteria. The CHD rate was 17.7 per 10,000, with the highest rate observed for VSD (6.2 per 10,000) followed by TF (2.7 per 10,000). The majority of the cohort members had a maternal age less than 25 years at delivery (69%), and had at least a high school education (85%). For approximately 80% of women, this was their first pregnancy.

Table 2. Characteristics of the study subjects (n = 105, 988).

Item Infants without any malformations (N = 105,800) Congentital heart defects (N = 188)
Maternal age (years)
 <20 19813 (18.73) 29 (15.43)
 20–25 53060 (50.15) 102 (54.26)
 25–30 25237 (23.85) 46 (24.47)
 >30 7690 (7.27) 11 (5.85)
Maternal education (years)
 <12 15578 (14.76) 31 (16.49)
 12–15 45917 (43.51) 78 (41.49)
 >15 44042 (41.73) 79 (42.02)
 Missing 263  
Parity
 1 81098 (76.65) 144 (76.60)
 >1 24702 (23.35) 44 (23.40)
Season of conception
 Spring 25662 (24.26) 38 (20.21)
 Summer 25042 (23.67) 47 (25.00)
 Autumn 26833 (25.36) 46 (24.47)
 Winter 28263 (26.71) 57 (30.32)
Infant sex
 Male 56355 (53.27) 97 (52.43)
 Female 49437 (46.73) 88 (47.57)
Type of birth
 Live birth 105421 (99.64) 29 (15.42)
 Stillbirth 372 (0.35) 159 (84.57)
 fetal deaths 7 (0.01)  

Air pollution and the risk of CHDs

The mean (25th to 75th percentile range) of the exposure concentrations of the air pollutants was 72.41 μg/m3 (31.97–106.00 μg/m3) for O3, 38.54 μg/m3 (18.00–53.91 μg/m3) for SO2, 59.61 μg/m3 (38.00–77.00 μg/m3) for NO2, and 1024.86 μg/m3 (701.00–1271.00 μg/m3) for CO (Table 1).

Pearson correlation coefficients were calculated for the monthly average concentrations of the air pollutants during the first trimester of pregnancy. NO2 and SO2, NO2 and CO, and SO2 and CO were strongly correlated (r = 0.68, r = 0.71 and r = 0.64, respectively). O3 was less strongly and negatively correlated with NO2, SO2 and CO (r = −0.12, r = −0.16 and r = −0.20, respectively).

Table 3 shows the aORs and 95% CIs for the risk of CHDs in relation to O3, NO2, CO, and SO2 exposure by each month of the first trimester of pregnancy. We observed consistently increased risks and dose-response patterns for the risk of CHDs overall and VSD and TF individually in relation to O3 exposure levels, and the risk increased gradually as the month of pregnancy increased. For CHDs overall, the adjusted OR for a 10-μg/m3 change in O3 was 1.06 (95% CI: 1.00–1.13) for the first month of pregnancy, 1.10 (95% CI: 1.03–1.17) for the second month of pregnancy, and 1.12 (95% CI: 1.05–1.19) for the third month of pregnancy. For TF, we observed positive associations in the second month of pregnancy (adjusted OR = 1.24 per 10 μg/m3 change; 95% CI: 1.07–1.44), and third month of pregnancy (adjusted OR = 1.31; 95% CI: 1.13–1.51). The effect estimate for O3 exposure for TF during the first month of pregnancy was slightly elevated but not statistically significant (adjusted OR = 1.15; 95% CI: 0.99–1.33). For VSD, a positive association for O3 was observed in the third month (adjusted OR for a 10-μg/m3 change in O3: 1.17 (95% CI: 1.05–1.31). The association between O3 exposure and VSD during the first and second month of pregnancy was slightly elevated but not statistically significant (adjusted OR = 1.07; 95% CI: 0.96–1.18; adjusted OR = 1.09; 95% CI: 0.97–1.21, respectively). In contrast, higher SO2 exposure was associated with decreased risk of CHDs overall in the second and third months of pregnancy. We found no associations between NO2 or CO and the selected birth defects.

Table 3. Adjusted a odds ratios and 95% CI of CHD and exposure to O3, NO2, NO, SO2, CO of first 3 months of pregnancy in single pollutant model.

    All congenital heart defects (Q20–Q28)(N = 188) Ventricular septal defect (Q21.0) (N = 63) Tetralogy of Fallot (Q21.3) (N = 29)
aOR [95% CI] aOR [95% CI] aOR [95% CI]
O3 1st Mb 1.06 (1.00–1.13) 1.07 (0.96–1.18) 1.15 (0.99–1.33)
2nd Mc 1.10 (1.03–1.17) 1.09 (0.97–1.21) 1.24 (1.07–1.44)
3rd Md 1.12 (1.05–1.19) 1.17 (1.05–1.31) 1.31 (1.13–1.51)
NO2 1st Mb 0.90 (0.79–1.02) 0.83 (0.67–1.03) 0.72 (0.53–1.03)
2nd Mc 0.94 (0.84–1.06) 0.89 (0.73–1.09) 0.81 (0.60–1.11)
3rd Md 0.90 (0.81–1.01) 0.91 (0.76–1.09) 0.80 (0.60–1.06)
SO2 1st Mb 0.92 (0.81–1.04) 0.90 (0.72–1.12) 0.91 (0.67–1.24)
2nd Mc 0.87 (0.76–0.99) 0.82 (0.65–1.03) 1.07 (0.78–1.46)
3rd Md 0.83 (0.73–0.95) 0.81 (0.64–1.02) 0.97 (0.68–1.38)
CO 1st Mb 0.97 (0.90–1.06) 0.99 (0.86–1.14) 1.01 (0.81–1.26)
2nd Mc 0.92 (0.84–1.01) 0.93 (0.81–1.07) 0.97 (0.77–1.21)
3rd Md 0.99 (0.91–1.08) 1.12 (0.87–1.29) 1.05 (0.85–1.30)

aAdjusted for maternal age, education, parity, infant sex, season of conception.

b1st M = The first month exposure;

c2nd M = The second month exposure;

d3rd M = The third month exposure.

Table 4 shows the estimated aORs and 95% CIs for the O3 weekly exposure analyses in relation to risk of CHDs overall and for VSD and TF individually. Risk of CHDs overall or for VSD and TF showed variability across the first 12 weeks of pregnancy. Specifically, O3 exposures after the first 5 weeks of pregnancy, particularly during weeks 8–12, were associated with a greater susceptibility to developing CHDs overall and for VSD and TF. During weeks 8 to 12 (6th week to 10th week after fertilization), the aORs for CHDs overall per 10-μg/m3 change in O3 exposure ranged from 1.05 to 1.08. For TF and VSD, the corresponding aORs ranged from 1.12 to 1.18 and from 1.10 to 1.12, respectively.

Table 4. Adjusteda odds ratios and 95% CI for CHDs in relation to exposure to O3 during the first 12 weeks of pregnancy.

  All congenital heart defects (Q20–Q28)(N = 188) Ventricular septal defect (Q21.0) (N = 63) Tetralogy of Fallot(Q21.3) (N = 29)
aOR [95% CI] aOR [95% CI] aOR [95% CI]
1 week 1.04 (0.99–1.09) 1.04 (0.97–1.12) 1.04 (0.94–1.16)
2 week 1.01 (0.97–1.06) 1.07 (0.99–1.14) 1.03 (0.92–1.15)
3 week 1.03 (0.98–1.07) 1.04 (0.97–1.12) 1.04 (0.94–1.16)
4 week 1.02 (0.98–1.07) 1.00 (0.93–1.08) 1.08 (0.97–1.19)
5 week 1.05 (1.00–1.10) 1.05 (0.97–1.13) 1.18 (1.06–1.31)
6 week 1.05 (0.99–1.10) 1.05 (0.96–1.14) 1.06 (0.94–1.19)
7 week 1.03 (0.98–1.09) 1.04 (0.96–1.14) 1.11 (0.99–1.24)
8 week 1.08 (1.02–1.13) 1.03 (0.94–1.13) 1.18 (1.05–1.32)
9 week 1.07 (1.02–1.13) 1.10 (1.01–1.19) 1.18 (1.05–1.31)
10 week 1.07 (1.02–1.12) 1.10 (1.01–1.20) 1.12 (1.01–1.26)
11 week 1.07 (1.02–1.12) 1.10 (1.01–1.16) 1.13 (1.01–1.27)
12 week 1.05 (1.00–1.10) 1.12 (1.04–1.21) 1.12 (1.01–1.25)

aAdjusted for maternal age, education, parity, infant sex, season of conception.

In the two pollutant models (Table 5), a positive association was observed between CO exposures during the third month of pregnancy and VSD (adjusted OR per 100-μg/m3 = 1.18; 95% CI: 1.02–1.36). Associations with all CHDs, VSD, and TF for O3 were generally consistent in the two pollutant models compared to the models that included only O3, with the strongest aORs observed for exposures during the third month of pregnancy. The results of the positive associations for O3 in the single pollutant models remained in the two-pollutant models, indicating that observed O3 effects were unlikely affected by both regional pollutants and local pollutants.

Table 5. Adjusteda odds ratios and 95% CI of CHD and exposure to O3, NO2, NO, SO2, CO of first 3 months of pregnancy in two pollutant model.

    All congenital heart defects (Q20–Q28)(N = 188) Ventricular septal defect (Q21.0)(N = 63) Tetralogy of Fallot (Q21.3) (N = 29)
aOR [95% CI] aOR [95% CI] aOR [95% CI]
O3 + NO2
O3 1st Mb 1.05 (0.98–1.12) 1.03 (0.92–1.16) 1.09 (0.92–1.29)
2nd Mc 1.10 (1.03–1.17) 1.07 (0.96–1.20) 1.23 (1.05–1.43)
3rd Md 1.11 (1.04–1.19) 1.16 (1.03–1.30) 1.29 (1.11–1.50)
NO2 1st Mb 0.94 (0.82–1.08) 0.86 (0.67–1.10) 0.79 (0.55–1.13)
2nd Mc 0.97 (0.86–1.10) 0.91 (0.74–1.12) 0.89 (0.65–1.22)
3rd Md 0.95 (0.85–1.06) 0.97 (0.80–1.16) 0.93 (0.69–1.25)
O3 + SO2
O3 1st Mb 1.05 (0.99–1.12) 1.05 (0.94–1.18) 1.15 (0.98–1.34)
2nd Mc 1.08 (1.01–1.16) 1.06 (0.94–1.19) 1.27 (1.09–1.49)
3rd Md 1.11 (1.04–1.18) 1.15 (1.03–1.29) 1.31 (1.14–1.52)
SO2 1st Mb 0.94 (0.83–1.07) 0.93 (0.73–1.18) 0.99 (0.71–1.36)
2nd Mc 0.90 (0.79–1.03) 0.84 (0.66–1.06) 1.19 (0.86–1.65)
3rd Md 0.86 (0.75–0.98) 0.84 (0.66–1.06) 1.08 (0.75–1.54)
O3 + CO
O3 1st Mb 1.06 (1.00–1.13) 1.07 (0.96–1.19) 1.16 (1.00–1.35)
2nd Mc 1.09 (1.02–1.16) 1.07 (0.96–1.20) 1.25 (1.07–1.45)
3rd Md 1.13 (1.06–1.20) 1.20 (1.07–1.33) 1.32 (1.15–1.52)
CO 1st Mb 1.00 (0.92–1.09) 1.02 (0.88–1.18) 1.08 (0.86–1.35)
2nd Mc 0.94 (0.86–1.03) 0.95 (0.82–1.10) 1.02 (0.82–1.27)
3rd Md 1.03 (0.94–1.12) 1.18 (1.02–1.36) 1.13 (0.91–1.41)

aAdjusted for maternal age, education, parity, infant sex, season of conception.

b1st M = The first month exposure;

c2nd M = The second month exposure;

d3rd M = The third month exposure.

Discussion

During the past few decades, CHDs are the most common severe congenital anomalies and the leading cause of infant mortality due to congenital anomalies, and the aetiologies are unknown for the majority of these defects22. Recently, studies conducted in developed countries linked ambient air pollution exposure to risk of CHDs; however, these studies provide inconsistent evidence of an association between maternal exposure to ambient air pollutants and CHDs, and few studies have been conducted in developing countries that have higher levels of air pollution23.

In this large cohort study conducted among Chinese women and infants exposed to a very high level of pollution, we found that the risk of several CHDs were higher among women with greater exposures to criteria air pollutants. We observed increasing associations between O3 exposure and CHDs overall, and VSD and TF individually, and the risk increased gradually as the month of pregnancy increased. The results are consistent to other studies that have explored the associations between O3 and CHDs. A previous study conducted in Southern California demonstrated a higher risk of aortic artery and valve defects in relation to increasing O3 exposure during the second month of pregnancy9. A study conducted in Brisbane used average exposures over the 3–8th weeks of pregnancy and found that O3 exposures were associated with an increased risk of pulmonary artery and valve defects when restricted to those women living within 6 kilometers of an ambient air quality monitor24. Similarly, a study in Northeast England reported an increased risk of congenital malformations of pulmonary and tricuspid valves with Oxposure after limiting to those living within 16 kilometers of a monitoring station25. Other studies detected no positive associations between O3 and cardiac defects11,19,21,26. A meta-analysis of ambient air pollution and risk of congenital anomalies examined ventricular septal defects and atrial septal defects, but showed no association with O3 exposure8.

O3 is homogenously distributed in areas. And it is a photo- chemical pollutant formed by the reactions of volatile organic compounds and nitrogen oxidesin the presence of sunlight27. The possible mechanisms and causes underlying the cardiac development are still unclear, but one potential etiologic pathway indicates that oxidative stress induced by air pollution may affect the migration and differentiation of organogenesis and neural crest cells6, which play an important role in heart development28. Oxidative stress may also regulate the hemodynamic responses, pulmonary and placental inflammation, and thus the transportation of nutrients and transplacental oxygenation6. Ozone is also a powerful oxidizing agent and a highly reactive molecule that may contribute to oxidative stress13. This suggests that ozone exposure may have an effect on cardiac development.

The main source of CO in urban area is vehicle exhaust emissions. The number of motor vehicles in urban China are soaring along with the rapid socioeconomic development, and the exhaust emissions are becoming one of the major contributors to urban air pollution29. Maternal CO exposure was not associated with CHDs in our study. The results are similar to other studies that have explored the associations between CO and CHDs. Studies conducted in Barcelona6, England3,25, and Israel11 reported no association between CO concentrations and cardiac defects. However, some studies have reported positive associations between CO and specific outcomes including ventricular septal defects9,19, cardiac septa malformations and congenital pulmonary valve stenosis19. One study has also reported an inverse association between CO and secundum atrial septal defects30. In a meta-analysis of ambient air pollution and risk of congenital anomalies, ventricular septal defects and atrial septal defects were examined, but showed no association with CO exposure8. Experimental studies have suggested mechanisms for the fetotoxic effects of CO including reaction with hem-containing proteins, hypoxia, and a reduction in metabolization of xenobiotics19. The inconsistent evidence of an association between CO and CHDs need further research.

NO2 is a secondary pollutant which is usually less impacted by regional pollution sources31. Some studies have found a positive association between NO2 exposure and low birth weight, Intra-uterine growth retardation, preterm birth, and stillbirth32,33,34,35,36. However, epidemiological evidence linking maternal NO2 exposure to CHDs is still inconsistent. Studies conducted in California30,37,38, Israel11, England3, Atlanta26, and Texas20 reported no association between NO2 concentration and cardiac defects. However, the Barcelona study reported a positive association between NO2 and coarctation of the aorta using spatial and spatiotemporal exposure models during weeks 3–8 of pregnancy6.

SO2 emissions have been previously associated with coal in power plants (contributing 49% in 1996 and 59% in 2010 to the total emissions in China) and industrial facilities (34%)39,40. Maternal SO2 exposure was not associated with TF in our study, which is similar with Atlanta study26 that have explored the associations between SO2 and CHDs. However, other two studies reported inconsistent results. The Northeast England study found an inverse relationship with TF and SO219. And the England reported an increased risk of TF due to exposure to SO23. For VSD, our study also showed a non-significant relationship between maternal exposure to SO2 and VSD. Similarly, other three studies conducted in Atlanta26, Brisbane23, and nine-states of U.S. 21 were consistent in showing non-significant associations, and one study conducted in Northeast England detected inverse associations19. In contrast, the Texas study20 and Italy study41 have reported an increased risk of VSD due to maternal exposure to SO2. Additionally, the Brisbane study also reported an increased risk of aortic artery and valve defects due to SO2 exposure23. Our findings did not evaluate this association for the small sample, and other four studies also did not support this association20,25,26,42. We also found inverse associations between CHDs overall and SO2 exposure at the second and third months.

The inverse associations between air pollution exposure and CHDs might be due to chance, but they also might be explained partially by the hypothesis that environmental insults may affect the survival of affected fetuses19,43. Shaw GM et al. have found inverse associations between active smoking and neural tube defects, which may be due to earlier abortion of the fetus44. Ritz et al. suggested inverse association between CO exposure and chromosomal abnormalities, which may also be explained by the increased vulnerability caused by CO and the resulting increased proportion of early spontaneous abortions9.

Most previous studies selected exposure windows to coincide with the period of cardiac morphogenesis and assigned exposures by averaging daily pollutant averages over the critical window (weeks 3–8)6,11,15,19,30. However, susceptibility windows for these adverse effects arising from environmental insults may not directly coincide with the established stages of fetal heart development21, and it is possible that exposures earlier or later in pregnancy could have affected the development of certain malformations26. For example, the National Birth Defects Prevention Study conducted in the U.S found that exposure to air pollutants during weeks 2 of pregnancy were associated with risk of pulmonary valve stenosis (PVS)7. In our study, the results were sensitive to exposures during specific windows of exposure, and we observed maternal exposures to O3 during week 5 and weeks 8–12 of pregnancy were associated with CHDs overall, VSD, and TF.

It is possible that inconsistent findings for air pollution exposure and risk of CHDs across studies may be at least partially due to differences in the level and range of pollution experienced in different countries. Compared with ambient air pollution exposure levels from previous published studies conducted in different countries investigating O3, SO2, NO2 and CO and CHDs, our study have the highest level and range of SO2 exposure. However, we didn’t observe a significant association between SO2 and TF as the England study did, although we nearly have five times greater SO2 exposure levels than the England study3, which suggests that it is necessary to evaluate the synergistic effect and interaction of other pollutants effect on CHDs, rather than just exploring one kind of pollutants’ affection. Another possibility of inconsistent findings is that the measurement error in air pollution exposure assessment was too great. The previous studies generally use pure temporal approaches25, pure spatial modeling3, spatiotemporal modeling, or the nearest monitor approach26, which all can introduces measurement error because of the distance between the monitor and the subject. Exposure misclassification of timing may arise from using the estimated date of conception, 14 days from the LMP. Because women may not recall LMP date accurately and the LMP may be unreliable. Exposure misclassification of timing may also arise from using residential information for the mother at the time of birth rather than during the first trimester, which is considered to be the critical period for congenital anomalies30. Our study used residential information for the mother during the first trimester exposure to reduce exposure measurement error. Additionally, using air pollutants’ concentrations measured from monitoring stations as proxies for personal exposure assumes that air pollution levels are homogeneous across the study areas. There would be exposure misclassification if local pollution sources existed, such as traffic, construction, or other spatially distributed risk factors. Measurement error would also be different for each of the examined pollutants, as their spatial distribution patterns vary quite widely, and it may also arise from not considering the time spent in different micro-environments44.

A general limitation of our study approach is that the prevalence of CHDs may be underestimated because of early fetal loss in those with CHDs, or because minor defects may be asymptomatic and undetected among neonates, which could have reduced the number of CHD cases. And we also did not have data on some other variables that could potentially be confounders, such as maternal diabetes and exposure to passive smoking. In addition, using separate models to assess exposures during correlated adjacent exposure windows might make it harder to identify the biologically-relevant critical window of exposure.

Conclusion

Our results suggest that exposure to increased levels of O3 during the first trimester of pregnancy may contribute to the risk of CHDs in Wuhan, China, which is a highly polluted region of the country. Our results contribute to the body of evidence regarding air pollution exposure and CHDs, but confirmation of these associations will be needed in future studies.

Additional Information

How to cite this article: Zhang, B. et al. Ozone and Other Air Pollutants and the Risk of Congenital Heart Defects. Sci. Rep. 6, 34852; doi: 10.1038/srep34852 (2016).

Acknowledgments

We are extremely grateful to all the hospitals and community health centers involved in this study. The study was partly supported by the ‘Hubei Province Natural Science Foundation Project: Association between air pollution and pregnancy outcome’, and the grant number is 2010CDB08803, and partly supported by Fogarty training grants D43TW 008323 and D43TW 007864-01 from the US National Institutes of Health.

Footnotes

Author Contributions B.Z., S.Y. and Z.Q. conceived and designed the experiments. J.Z. and S.Y. wrote the main manuscript text. J.Z. and R.Y. analyzed the data. T.Z. and B.A.B. edited the manuscript. J.Z., B.B. and Y.Z. interpreted data and results. Y.Z. and K.H. collected and organized data. S.X. and G.D. provided statistical support. All authors reviewed the manuscript.

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