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Published in final edited form as: Am J Obstet Gynecol. 2019 Aug 24;222(2):176.e1–176.e11. doi: 10.1016/j.ajog.2019.08.028

Specific birth defects in pregnancies of women with diabetes: National Birth Defects Prevention Study, 1997–2011

Sarah C Tinker 1, Suzanne M Gilboa 1, Cynthia A Moore 1, D Kim Waller 1, Regina M Simeone 1, Shin Y Kim 1, Denise J Jamieson 1, Lorenzo D Botto 1, Jennita Reefhuis 1; National Birth Defects Prevention Study1
PMCID: PMC7186569  NIHMSID: NIHMS1577357  PMID: 31454511

Abstract

BACKGROUND:

Diabetes is associated with an increased risk for many birth defects and is likely to have an increasing impact on birth defect prevalence because of the rise in diabetes in the United States in recent decades. One of the first analyses in which specific birth defects were assessed for their relationship with both pregestational and gestational diabetes used data from the initial 6 years of the National Birth Defects Prevention Study. That analysis reported strong associations for pregestational diabetes with several birth defects, but few exposures among some of the less common birth defects led to unstable estimates with wide confidence intervals. Since that analysis, the study continued to collect data for another 8 years, including information on approximately 19,000 additional cases and 6900 additional controls.

OBJECTIVE:

Our objective was to use data from the National Birth Defects Prevention Study, the largest population-based birth defects case-control study in the United States, to provide updated and more precise estimates of the association between diabetes and birth defects, including some defects not previously assessed.

STUDY DESIGN:

We analyzed data on deliveries from October 1997 through December 2011. Mothers of case and control infants were interviewed about their health conditions and exposures during pregnancy, including diagnosis of pregestational (type 1 or type 2) diabetes before the index pregnancy or gestational diabetes during the index pregnancy. Using logistic regression, we separately assessed the association between pregestational and gestational diabetes with specific categories of structural birth defects for which there were at least 3 exposed case infants. For birth defect categories for which there were at least 5 exposed case infants, we calculated odds ratios adjusted for maternal body mass index, age, education, race/ethnicity, and study site; for defect categories with 3 or 4 exposed cases, we calculated crude odds ratios.

RESULTS:

Pregestational diabetes was reported by 0.6% of mothers of control infants (71 of 11,447) and 2.5% of mothers of case infants (775 of 31,007). Gestational diabetes during the index pregnancy was reported by 4.7% of mothers of control infants (536 of 11,447) and 5.3% of mothers of case infants (1,653 of 31,007). Pregestational diabetes was associated with strong, statistically significant odds ratios (range, 2.5–80.2) for 46 of 50 birth defects considered. The largest odds ratio was observed for sacral agenesis (adjusted odds ratio, 80.2; 95% confidence interval, 46.1–139.3). A greater than 10-fold increased risk was also observed for holoprosencephaly (adjusted odds ratio, 13.1; 95% confidence interval, 7.0–24.5), longitudinal limb deficiency (adjusted odds ratio, 10.1; 95% confidence interval, 6.2–16.5), heterotaxy (adjusted odds ratio, 12.3; 95% confidence interval, 7.3–20.5), truncus arteriosus (adjusted odds ratio, 14.9; 95% confidence interval, 7.6–29.3), atrioventricular septal defect (adjusted odds ratio, 10.5; 95% confidence interval, 6.2–17.9), and single ventricle complex (adjusted odds ratio, 14.7; 95% confidence interval, 8.9–24.3). For gestational diabetes, statistically significant odds ratios were fewer (12 of 56) and of smaller magnitude (range, 1.3– 2.1; 0.5 for gastroschisis).

CONCLUSION:

Pregestational diabetes is associated with a markedly increased risk for many specific births defects. Because glycemic control before pregnancy is associated with a reduced risk for birth defects, ongoing quality care for persons with diabetes is an important opportunity for prevention.

Keywords: atrioventricular septal defect, birth defect, case control study, epidemiology, gestational diabetes, heterotaxy, holoprosencephaly, longitudinal limb deficiency, pregestational diabetes, pregnancy, sacral agenesis, single ventricle complex, truncus arteriosus, type 1 diabetes, type 2 diabetes


In recent decades, the prevalence of diabetes has increased in the United States, including among women of reproductive age.1 Almost 3% of US women aged 15–44 years have diagnosed type 1 or type 2 diabetes. Women with pregestational diabetes (type 1 or type 2 diabetes diagnosed before pregnancy) have an increased risk for adverse pregnancy outcomes, including a markedly increased risk for birth defects.2 Gestational diabetes occurs in almost 6% of US pregnancies.3 The risk for birth defects associated with gestational diabetes is less clear.

Although maternal pregestational diabetes is a well-recognized risk factor for many birth defects, for rarer birth defects, the association is not well established. One of the first analyses in which specific birth defects were assessed for their relationship with both pregestational and gestational diabetes used data from the National Birth Defects Prevention Study (NBDPS) on approximately 18,000 deliveries from October 1997 through December 2003.4 That analysis reported strong associations with many specific birth defects, primarily with pregestational diabetes, but also some with gestational diabetes. However, several associations were based on only a few exposed cases, leading to unstable estimates. The NBDPS continued data collection through December 2011 births, providing data on over 25,000 additional pregnancies.

The current analysis, which uses the final NBDPS data set, includes a much larger study sample, allowing us to update previous findings with more precise estimates on the risk for specific birth defects associated with maternal diabetes.

Materials and Methods

NBDPS is a multisite, population-based, case-control study of selected major structural birth defects.5 NBDPS began collecting data on pregnancies that ended on Oct. 1, 1997; the last pregnancies included in the study had estimated dates of delivery of Dec. 31, 2011. Over the years of the study, centers in 10 different US states contributed data to NBDPS.

The catchment area for 6 centers included only selected counties within the state: California (1997–2011), Georgia (1997–2011), Massachusetts (1997–2011), New York (1997–2002, 2004–2011), North Carolina (2003–2011), and Texas (1997–2011); the other 4 centers contributed data from the entire state: Arkansas (1998–2011), Iowa (1997–2011), New Jersey (1998–2002), and Utah (2003–2011). All participating centers obtained institutional review board approval for the study.

NBDPS cases include live births, fetal deaths, and terminations, although not all pregnancy outcomes were ascertained by all centers throughout the study period. Birth defect cases attributable to known chromosomal or single-gene disorders were not eligible for the study. All birth defects included in NBDPS are first reviewed by a clinical geneticist for eligibility in the study. They are reviewed a second time to confirm classification into specific birth defect categories and assigned isolated or multiple defects status.6,7

Isolated defects are those that occur in the absence of any other major defects in a different organ system, except those that are a direct result of the primary defect. Multiple defects are those that occur in the presence of other major birth defects in a different organ system. Control infants are live births to women during the same time period and from the same catchment area as case infants.

Mothers of case and control infants were administered a computer-assisted telephone interview asking about demographics, medical conditions and medication use, and other exposures before and during pregnancy. All participating mothers provided informed consent.

During the interview, women were asked, “Were you ever told by a doctor that you had diabetes (including gestational diabetes), sometimes called sugar diabetes or diabetes mellitus?” Mothers who responded yes were asked what type of diabetes they had (ie, type 1, type 2, or gestational) and the month and year of their diagnosis. We used this information to create 3 mutually exclusive categories: pregestational diabetes, gestational diabetes, and an unexposed referent group.

We defined pregestational diabetes as reporting type 1 or type 2 diabetes diagnosed before the index pregnancy and gestational diabetes as having been diagnosed with gestational diabetes during the index pregnancy. Our unexposed group was mothers who reported never having had a diagnosis of diabetes before, during, or after the index pregnancy. We excluded from the analysis mothers who reported gestational diabetes in a previous pregnancy, those who reported diabetes diagnosed after the index pregnancy, or those with missing information on the type of diabetes or timing of diagnosis.

We made separate assessments of the association of pregestational and gestational diabetes with all specific birth defects in NBDPS for which there were at least 3 cases with the diabetes exposure of interest. For pregestational diabetes we assessed 26 noncardiac and 24 cardiac defects. Because gestational diabetes is more common than pregestational diabetes, for gestational diabetes we were able to assess 30 noncardiac and 26 cardiac defects.

We assessed the distribution of select covariates in each exposure group among control mothers, who are more representative of the general population of pregnant women than case mothers. The covariates we assessed were body mass index (kilograms per square meter; underweight, <18.5 kg/m2; normal weight, 18.5–24.9 kg/m2; overweight, 25–29.9 kg/m2; obese, ≥30 kg/m2); maternal age in years (<20, 20–24, 25–29, 30–34, ≥35); maternal education (less than high school degree, high school degree or equivalent; more than a high school degree); race/ethnicity (non-Hispanic white, non-Hispanic black, Hispanic, other race/ethnicity); and study site.

We used logistic regression to estimate odds ratios (ORs) for the association between pregestational or gestational diabetes and each birth defect. For defect categories for which there were at least 5 exposed case infants, we adjusted for the covariates listed in the previous text (selected a priori and based on covariates used in the previous NBDPS analysis4); for defect categories with 3 or 4 exposed case infants, we calculated crude odds ratios.

In a secondary analysis, we considered the association between pregestational and gestational diabetes and specific birth defects with separate analyses for isolated and multiple defects. This secondary analysis was conducted because the etiology of a birth defect that occurs in isolation may differ from that of the same birth defect that occurs in the presence of other defects.6 All analyses were run separately for pregestational and gestational diabetes using SAS version 9.3 (SAS Inc, Cary, NC).

Results

Pregestational diabetes was reported by 0.6% of mothers of control infants (71 of 11,447) and 2.5% of mothers of case infants (775 of 31,007). Gestational diabetes during the index pregnancy was reported by 4.7% of mothers of control infants (536 of 11,447) and 5.3% of mothers of case infants (1653 of 31,007).

Among mothers of control infants, the prevalence of obesity was almost 50% among those who reported pregestational diabetes, approximately one third among those who reported gestational diabetes, and 17% among those who reported no diabetes (Table 1). Mothers of control infants who had pregestational or gestational diabetes were more likely to be 35 years or older and to have Hispanic ethnicity and less likely to have a post–high school education or to be non-Hispanic white compared with mothers of control infants who did not have diabetes.

TABLE 1.

Frequency distributions of maternal characteristics among controls, by diabetes status, National Birth Defects Prevention Study, 1997–2011

No diabetes
Pregestational diabetesa
Gestational diabetes
Characteristic n, %b n, %b P valuec n, % P valuec
Total 10,840 (94.7) 71 (0.6) 536 (4.7)
Body mass index, kg/m2
 <18.5 577 (5.5) 1 (1.5) < .0001 14 (2.8) < .0001
 18.5–24.9 5728 (55.1) 20 (29.4) 173 (35.2)
 25–29.9 2333 (22.4) 14 (20.6) 136 (27.6)
 ≥30.0 1765 (17.0) 33 (48.5) 169 (34.3)
Maternal age, y
 <20 1127 (10.4) 6 (8.5) .0561 29 (5.4) < .0001
 20–24 2485 (22.9) 12 (16.9) 91 (17.0)
 25–29 3013 (27.8) 20 (28.2) 140 (26.1)
 30–34 2753 (25.4) 15 (21.1) 167 (31.2)
 ≥35 1462 (13.5) 18 (25.4) 109 (20.3)
Maternal education
 Less than high school 1723 (16.3) 12 (17.1) .1507 113 (21.4) .0022
 High school 2489 (23.5) 23 (32.9) 132 (25.0)
 More than high school 6362 (60.2) 35 (50.0) 282 (53.5)
Race/ethnicity
 Non-Hispanic white 6376 (58.9) 35 (49.3) .2093 234 (43.7) < .0001
 Non-Hispanic black 1207 (11.1) 10 (14.1) 59 (11.0)
 Hispanic 2573 (23.8) 18 (25.4) 196 (36.6)
 Other race/ethnicity 678 (6.3) 8 (11.3) 47 (8.8)
Center
 Arkansas 1358 (12.5) 9 (12.7) .4952 69 (12.9) .0002
 California 1145 (10.6) 8 (11.3) 76 (14.2)
 Georgia 1150 (10.6) 7 (9.9) 65 (12.1)
 Iowa 1183 (10.9) 6 (8.5) 59 (11.0)
 Massachusetts 1318 (12.2) 6 (8.5) 45 (8.4)
 New Jersey 558 (5.1) 0 (0) 13 (2.4)
 New York 902 (8.3) 9 (12.7) 42 (7.8)
 North Carolina 913 (8.4) 6 (8.5) 55 (10.3)
 Texas 1258 (11.6) 12 (16.9) 77 (14.4)
 Utah 1055 (9.7) 8 (11.3) 35 (6.5)
Year of birth
 1997–1999d 1620 (14.9) 11 (15.5) .2114 66 (12.3) .0017
 2000–2001 1599 (14.8) 7 (9.9) 64 (11.9)
 2002–2003 1512 (13.9) 6 (8.5) 53 (9.9)
 2004–2005 1624 (15.0) 15 (21.1) 96 (17.9)
 2006–2007 1513 (14.0) 11 (15.5) 96 (17.9)
 2008–2009 1522 (14.0) 15 (21.1) 85 (15.9)
 2010–2011 1450 (13.4) 6 (8.5) 76 (14.2)
a

Type 1 or type 2 diabetes;

b

Row percentages are presented for total controls; otherwise, column percentages are presented;

c

P value is from a χ2 test;

d

1997 includes only October through December.

Most associations between noncardiac defects and pregestational diabetes (22 of 26 assessed) were strong and statistically significant (Table 2). The largest odds ratio was observed for sacral agenesis (adjusted OR [aOR], 80.2; 95% confidence interval [CI], 46.1–139.3). A greater than 10-fold increased risk was also observed for holoprosencephaly (aOR, 13.1; 95% CI, 7.0–24.5) and longitudinal limb deficiency (aOR, 10.1; 95% CI, 6.2–16.5). Within the category of longitudinal limb deficiency, we assessed preaxial, postaxial, and split hand–split foot separately and observed similar associations (data not shown). Of 30 associations between noncardiac defects and gestational diabetes, 5 were statistically significant, including an inverse association for gastroschisis.

TABLE 2.

Odds ratios and 95% confidence intervals for associations between diabetes and selected noncardiac birth defects, National Birth Defects Prevention Study, 1997–2011

Pregestational diabetes
Gestational diabetes
Birth defects Total n OR (95% CI)a n OR (95% CI)a
Anencephaly 627 17 3.5 (1.9–6.4) 22 0.7 (0.5–1.1)
Spina bifida 1236 12 1.4 (0.8–2.7) 62 0.9 (0.6–1.2)
Encephalocele 221 8 5.4 (2.5–11.7) 8 0.7 (0.3–1.4)
Holoprosencephaly 163 15 13.1 (7.0–24.5) 12 1.2 (0.6–2.4)
Hydrocephaly 505 25 8.2 (5.0–13.5) 27 1.4 (0.9–2.0)
Dandy-Walker malformation 181 4 3.6 (1.3–10.1) 9 1.0 (0.5–2.1)
Anophthalmia/microphthalmia 228 5 3.4 (1.3–8.6) 12 1.1 (0.6–2.0)
Cataract 351 3 1.4 (0.4–4.5) 19 1.3 (0.8–2.1)
Glaucoma/anterior chamber defect 180 2 NC 8 1.0 (0.5–2.1)
Anotia/microtia 662 27 5.8 (3.5–9.7) 42 1.1 (0.7–1.5)
Choanal atresia 159 6 6.9 (2.8–16.6) 5 0.6 (0.2–1.7)
Cleft palate alone 1570 42 4.3 (2.9–6.5) 96 1.4 (1.1–1.8)
Cleft lip with or without cleft palate 3046 58 3.0 (2.1–4.3) 161 1.1 (0.9–1.3)
Small intestinal atresia/stenosis 468 2 NC 28 1.1 (0.7–1.7)
Duodenal atresia / stenosis 238 1 NC 16 1.6 (0.9–2.7)
Esophageal atresia / stenosis 743 15 3.4 (1.9–6.1) 31 1.0 (0.7–1.4)
Anorectal atresia / stenosis 1,044 40 5.7 (3.8–8.7) 58 1.1 (0.8–1.5)
Biliary atresia / stenosis 197 6 5.0 (2.1–11.9) 11 1.4 (0.7–2.6)
Hypospadias 2,542 33 2.8 (1.7–4.8) 141 1.4 (1.1–1.8)
Renal agenesis / hypoplasia 180 11 8.1 (3.9–16.9) 3 0.4 (0.1–1.1)
Bladder exstrophy 72 3 7.0 (2.2–22.9) 4 1.2 (0.5–3.4)
Cloacal exstrophy 97 0 NC 9 2.1 (1.0–4.4)
Longitudinal limb deficiency 469 24 10.1 (6.2–16.5) 19 0.9 (0.5–1.5)
Transverse limb deficiency 703 10 2.6 (1.3–5.2) 32 0.9 (0.6–1.4)
Craniosynostosis 1,562 13 1.2 (0.6–2.3) 99 1.3 (1.0–1.7)
Diaphragmatic hernia 851 13 2.5 (1.3–4.6) 36 0.9 (0.6–1.3)
Omphalocele 431 8 2.6 (1.2–5.6) 23 1.1 (0.7–1.8)
Gastroschisis 1,429 4 0.4 (0.2–1.2) 21 0.5 (0.3–0.8)
Sacral agenesis 104 33 80.2 (46.1–139.3) 6 1.7 (0.6–4.8)
Amniotic band syndrome 335 6 3.1 (1.3–7.4) 14 1.2 (0.7–2.0)

CI, confidence interval; OR, odds ratio; NC, not calculated.

a

For defect categories with 5 or more exposed cases, ORs are adjusted for maternal body mass index, age, education, race/ethnicity, and study site; for defect categories with 3 or 4 exposed cases, crude odds ratios are presented in italics; odds ratios for defect categories with less than 3 exposed cases were not calculated.

For cardiac defects, a similar pattern of associations was observed for pregestational and gestational diabetes (Table 3). All 24 associations assessed showed statistically significant increased risk for infants born to mothers with pregestational diabetes. There were 4 odds ratios for pregestational diabetes that were greater than 10: heterotaxy (aOR, 12.3; 95% CI, 7.3–20.5), truncus arteriosus (aOR, 14.9; 95% CI, 7.6–29.3), atrioventricular septal defect (aOR, 10.5; 95% CI, 6.2–17.9), and single ventricle complex (aOR, 14.7; 95% CI, 8.9–24.3). Of the 26 associations between cardiac defects and gestational diabetes, 7 were statistically significant.

TABLE 3.

Odds ratios and 95% confidence intervals for associations between diabetes and selected cardiac defects, National Birth Defects Prevention Study, 1997–2011

Pregestational diabetes
Gestational diabetes
Birth defects Total Exposed OR (95% CI)a Exposed OR (95% CI)a
Heterotaxy with cardiac defects 343 26 12.3 (7.3–20.5) 10 0.7 (0.4–1.3)
Truncus arteriosus 134 15 14.9 (7.6–29.3) 5 0.9 (0.3–2.2)
Tetralogy of Fallot 1181 40 5.3 (3.5–8.0) 81 1.5 (1.1–1.9)
D-transposition of the great arteries 753 16 3.0 (1.6–5.5) 29 0.8 (0.5–1.2)
DORV with TGA 189 12 7.8 (3.9–15.9) 3 0.3 (0.1–1.1)
DORV, other 122 5 5.1 (1.8, 14.7) 7 1.3 (0.6– 2.8)
Conoventricular septal defect 143 7 8.2 (3.4– 20.0) 7 0.9 (0.3– 2.1)
Atrioventricular septal defect 359 20 10.5 (6.2–17.9) 15 1.1 (0.6–1.8)
Total APVR 291 7 4.0 (1.8–8.9) 12 0.9 (0.5–1.6)
Partial APVR 77 3 6.5 (2.0–21.3) 4 1.2 (0.4–3.2)
Hypoplastic left heart syndrome 640 13 2.9 (1.5–5.6) 48 1.8 (1.3–2.4)
Coarctation of the aorta 1,149 30 4.5 (2.8–7.1) 72 1.3 (1.0–1.8)
Aortic stenosis 500 14 4.5 (2.4–8.4) 19 0.9 (0.5–1.4)
Pulmonary atresia 255 7 3.5 (1.5–8.3) 8 0.6 (0.3–1.2)
PVS 1533 35 3.8 (2.5–5.9) 109 1.5 (1.2–1.9)
Ebstein anomaly 178 2 NC 5 0.5 (0.2–1.4)
Tricuspid atresia 171 6 4.4 (1.7–11.5) 5 0.7 (0.3–1.6)
Perimembranous VSD 1651 51 5.1 (3.5–7.5) 95 1.3 (1.0–1.7)
ASD secundum or NOS 3009 126 6.7 (4.9–9.2) 203 1.4 (1.2–1.7)
Single ventricle complex 313 27 14.7 (8.9–24.3) 14 1.1 (0.6–2.0)
Aortic stenosis and coarctation of the aorta 121 3 4.2 (1.3–13.4) 8 1.5 (0.7–3.1)
Coarctation of the aorta and VSD 301 8 5.6 (2.6–12.0) 13 1.1 (0.6–1.9)
VSD and ASD 747 34 6.9 (4.4–10.8) 48 1.4 (1.0–1.9)
VSD and ASD and coarctation of the aorta 93 2 NC 5 0.9 (0.3–3.1)
PVS and ASD 258 9 4.6 (2.1–10.0) 19 1.5 (0.9–2.4)
PVS and VSD 147 7 9.3 (4.1–21.2) 11 1.7 (0.9–3.3)

ASD, atrial septal defect; APVR, anomalous pulmonary venous return; CI, confidence interval; DORV, double-outlet right ventricle; NC, not calculated; NOS, not otherwise specified; OR, odds ratio; PVS, pulmonary valve stenosis; TGA, transposition of the great arteries; VSD, ventricular septal defect.

a

For defect categories with 5 or more exposed cases, ORs are adjusted for maternal body mass index, age, education, race/ethnicity, and study site; for defect categories with 3 or 4 exposed cases, crude odds ratios are presented in italics; odds ratios for defect categories with less than 3 exposed cases were not calculated.

For almost all of the birth defects with sufficient sample size to include in the analysis, odds ratios for the association with pregestational diabetes were larger for cases with multiple defects than for isolated cases. All 17 noncardiac birth defects with at least 3 exposed multiple cases had strong and statistically significant ORs (Table 4). Many strong associations were also observed for isolated noncardiac birth defects.

TABLE 4.

Odds ratios and 95% confidence intervals for associations between diabetes and selected noncardiac birth defects, stratified by isolated and multiple status, National Birth Defects Prevention Study, 1997–2011

Pregestational (type 1 or type 2) diabetes
Gestational diabetes
Total defects
Isolated defects
Multiple defects
Isolated defects
Multiple defects
Birth defect Isolated Multiple n OR (95% CI)a n OR (95% CI)a n OR (95% CI)a n OR (95% CI)a
Anencephaly 563 64 14 3.5 (1.8–6.5) 3 7.6 (2.3–24.9) 21 0.8 (0.5–1.2) 1 NC
Spina bifida 1090 146 3 0.4 (0.1–1.4) 9 10.6 (5.0–22.6) 56 0.9 (0.6–1.2) 6 1.0 (0.4–2.3)
Encephalocele 168 53 7 6.1 (2.7–13.8) 1 NC 7 0.7 (0.3–1.7) 1 NC
Holoprosencephaly 117 46 8 9.7 (4.3–21.6) 7 25.4 (10.0–64.1) 10 1.4 (0.6–3.0) 2 NC
Hydrocephaly 350 154 12 6.2 (3.2–12.1) 13 11.5 (5.8–22.5) 18 1.3 (0.8–2.2) 9 1.4 (0.8–2.3)
Dandy-Walker malformation 111 70 3 4.5 (1.4–14.6) 1 NC 7 1.5 (0.7–3.4) 2 NC
Anophthalmia/ microphthalmia 137 90 3 3.6 (1.1–11.7) 2 NC 8 1.1 (0.5–2.4) 4 1.0 (0.4–2.6)
Cataract 310 40 3 1.6 (0.5–5.1) 0 NC 18 1.4 (0.8–2.3) 1 NC
Glaucoma/anterior chamber defect 147 33 2 NC 0 NC 6 1.0 (0.4–2.3) 2 NC
Anotia/microtia 463 199 7 2.0 (0.8–5.0) 20 14.5 (8.1–25.8) 29 1.1 (0.7–1.7) 13 1.0 (0.5–2.0)
Choanal atresia 83 75 2 NC 4 8.9 (3.1–24.9) 3 0.8 (0.2–2.5) 2 NC
Cleft palate alone 1264 306 19 2.5 (1.4–4.2) 23 12.3 (7.3–20.7) 79 1.4 (1.1–1.8) 17 1.4 (0.9–2.4)
Cleft lip with or without cleft palate 2684 362 37 2.2 (1.4–3.3) 21 8.7 (5.0–15.0) 143 1.1 (0.9–1.4) 18 1.0 (0.6–1.7)
Small intestinal atresia/stenosis 400 68 2 NC 0 NC 18 0.8 (0.4–1.3) 10 3.7 (1.8–7.7)
Duodenal atresia/stenosis 148 90 0 NC 1 NC 7 1.1 (0.5–2.4) 9 2.4 (1.1–5.1)
Esophageal atresia/stenosis 315 426 3 1.5 (0.5–5.0) 12 4.8 (2.5–9.1) 17 1.2 (0.7–2.0) 14 0.8 (0.5–1.4)
Anorectal atresia/stenosis 452 565 13 4.5 (2.4–8.3) 26 6.9 (4.2–11.3) 30 1.3 (0.8–1.9) 28 1.0 (0.6–1.5)
Biliary atresia/stenosis 168 29 3 3.0 (0.9–9.5) 3 18.3 (5.4–62.1) 10 1.5 (0.8–2.8) 1 NC
Hypospadias 2270 271 23 2.1 (1.2–3.8) 10 7.1 (3.3–15.7) 126 1.4 (1.1–1.8) 15 1.3 (0.7–2.3)
Renal agenesis/hypoplasia 128 47 9 11.4 (5.4–24.5) 2 NC 1 NC 2 NC
Bladder exstrophy 55 15 2 NC 1 NC 2 NC 2 NC
Cloacal exstrophy 57 40 0 NC 0 NC 5 2.1 (0.7–6.1) 4 2.2 (0.8–6.3)
Longitudinal limb deficiency 267 202 12 9.5 (5.0–18.2) 12 11.3 (5.9–21.8) 12 1.1 (0.6–2.0) 7 0.7 (0.3–1.7)
Transverse limb deficiency 591 111 8 2.5 (1.2–5.3) 2 NC 27 1.0 (0.6–1.5) 5 0.6 (0.2–2.0)
Craniosynostosis 1416 145 7 0.7 (0.3–1.6) 6 6.7 (2.6–17.4) 90 1.3 (1.0–1.7) 9 1.5 (0.7–3.0)
Diaphragmatic hernia 647 194 7 1.7 (0.7–4.0) 6 4.5 (1.9–10.8) 29 1.0 (0.7–1.6) 7 0.7 (0.3–1.5)
Omphalocele 252 179 2 NC 6 4.8 (2.0–11.6) 13 1.1 (0.6–2.0) 10 1.2 (0.6–2.2)
Gastroschisis 1298 131 4 0.5 (0.2–1.3) 0 NC 20 0.5 (0.3–0.9) 1 NC
Sacral agenesis 12 87 8 807.1 (110.7–5884.0) 24 67.8 (37.0–124.2) 2 NC 4 1.4 (0.5–3.8)
Amniotic band syndrome 282 53 4 2.3 (0.8–6.3) 2 NC 10 1.0 (0.5–1.9) 4 1.7 (0.6–4.8)

CI, confidence interval; NC, not calculated; OR, odds ratio.

a

For defect categories with 5 or more exposed cases, ORs are adjusted for maternal body mass index, age, education, race/ethnicity, and study site; for defect categories with 3 or 4 exposed cases, crude odds ratios are presented in italics; odds ratios for defect categories with less than 3 exposed cases were not calculated.

The strongest associations were observed for sacral agenesis, for which 8 of 12 isolated cases and 24 of 89 cases of multiple birth defects had maternal pregestational diabetes (aOR, 807.1; 95% CI, 110.7–5884.0; aOR, 67.8; 95% CI, 37.0–124.2, respectively). For spina bifida, anotia/microtia, esophageal atresia/stenosis, biliary atresia/stenosis, craniosynostosis, and diaphragmatic hernia, statistically significant increased ORs were observed only for cases with multiple defects. Very few associations with gestational diabetes were observed for isolated or multiple defect categories. Almost all isolated and multiple cardiac birth defect categories for which there were at least 3 exposed case infants were statistically significantly associated with pregestational diabetes, with stronger associations for multiple defects except for single ventricle complex (Table 5).

TABLE 5.

Odds ratios and 95% confidence intervals for associations between diabetes and selected cardiac birth defects, stratified by isolated and multiple status, National Birth Defects Prevention Study, 1997–2011

Pregestational (type 1 or type 2) diabetes
Gestational diabetes
Total defects
Isolated defects
Multiple defects
Isolated defects
Multiple defects
Birth defect Isolated Multiple n OR (95% CI)a n OR (95% CI)a n OR (95% CI)a n OR (95% CI)a
Heterotaxy with CHD 34 309 1 NC 25 12.7 (7.5–21.4) 1 NC 9 0.7 (0.4–1.4)
Truncus arteriosus 89 24 9 12.5 (5.3–29.8) 5 40.8 (12.8–130.7) 4 1.1 (0.4–2.9) 1 N/A
Tetralogy of Fallot 937 217 26 4.4 (2.7–7.1) 11 8.0 (3.9–16.3) 66 1.5 (1.1–1.9) 15 1.6 (0.9–2.7)
D-transposition of the great arteries 557 42 10 2.5 (1.2–5.3) 2 NC 21 0.8 (0.5–1.2) 3 1.6 (0.5–5.3)
DORV, other (no TGA) 31 15 2 NC 2 NC 4 3.2 (1.1–9.3) 0 NC
Conoventricular septal defect 54 11 2 NC 2 NC 3 1.2 (0.4–4.0) 1 NC
Atrioventricular septal defect 167 36 6 6.8 (2.8–16.3) 3 13.8 (4.2–46.3) 7 1.2 (0.6–2.6) 0 NC
Total APVR 246 18 6 4.0 (1.7–9.6) 0 NC 10 0.9 (0.4–1.7) 1 NC
Partial APVR 43 11 1 NC 1 NC 4 2.1 (0.8–6.0) 0 NC
Hypoplastic left heart syndrome 569 55 12 3.0 (1.5–5.9) 1 NC 43 1.8 (1.3–2.5) 5 2.2 (0.9–5.8)
Coarctation of the aorta 552 69 14 3.8 (2.0–7.2) 3 7.4 (2.3–24.1) 42 1.5 (1.1–2.2) 4 1.3 (0.5–3.6)
Aortic stenosis 332 21 8 3.8 (1.7–8.5) 1 NC 10 0.7 (0.4–1.4) 1 NC
Pulmonary atresia 160 12 3 3.0 (0.9–9.6) 3 65.4 (16.6–258.1) 4 0.5 (0.2–1.4) 2 NC
PVS 1029 59 17 2.8 (1.6–4.8) 2 NC 73 1.5 (1.2–2.0) 5 2.1 (0.8–5.3)
Tricuspid atresia 67 12 1 NC 0 NC 4 1.3 (0.5–3.6) 0 NC
Perimembranous VSD 897 126 18 3.1 (1.7–5.4) 9 9.3 (4.2–20.8) 52 1.3 (1.0–1.8) 6 1.0 (0.4–2.4)
ASD secundum or NOS 1517 347 61 6.3 (4.3–9.3) 17 8.4 (4.8–14.9) 112 1.6 (1.3–2.1) 19 1.2 (0.7–2.0)
Single ventricle complex 252 61 22 16.2 (9.5–27.7) 5 10.9 (3.6–33.3) 11 1.2 (0.6–2.2) 3 1.1 (0.4–3.7)
Aortic stenosis and coarctation of the aorta 88 10 1 NC 0 NC 4 1.0 (0.4–2.7) 3 8.7 (2.2–33.6)
Coarctation of the aorta and VSD 245 53 5 4.2 (1.6–10.6) 3 9.7 (3.0–32.0) 10 1.0 (0.5–2.0) 3 1.3 (0.4–42)
VSD and ASD 586 161 22 6.3 (3.7–10.5) 12 9.6 (4.7–19.8) 41 1.6 (1.1–2.2) 7 0.9 (0.4–2.0)
VSD and ASD and coarctation of the aorta 75 18 1 NC 1 NC 4 1.2 (0.4–3.2) 1 NC
PVS and ASD 225 33 7 4.7 (2.1–10.6) 2 NC 14 1.2 (0.7–2.2) 5 3.1 (1.1–8.7)
PVS and VSD 123 24 5 8.5 (3.2–22.1) 2 NC 9 1.7 (0.8–3.5) 2 NC

ASD, atrial septal defect; APVR, anomalous pulmonary venous return; CI, confidence interval; DORV, double-outlet right ventricle; NC, not calculated; NOS, not otherwise specified; OR, odds ratio; PVS, pulmonary valve stenosis; TGA, transposition of the great arteries; VSD, ventricular septal defect.

a

For defect categories with 5 or more exposed cases, ORs are adjusted for maternal body mass index, age, education, race/ethnicity, and study site; for defect categories with 3 or 4 exposed cases, crude odds ratios are presented in italics; odds ratios for defect categories with less than 3 exposed cases were not calculated.

Comment

Principal findings

We observed strong associations between maternal pregestational diabetes and most specific defects assessed in this study. Of 50 defect categories, we observed 46 statistically significant increased ORs, with point estimates ranging from 2.5 to 80.2. For gestational diabetes fewer associations were observed (12 of 56), and these associations were weaker than for pregestational diabetes, ranging from 1.3 to 2.1, with the exception of gastroschisis, for which a significant inverse association was observed.

Although the increased risks for birth defects with pregestational diabetes are well established, the magnitude of such risks, particularly for rarer birth defects, is not well known. For example, one of the strongest associations we observed was for holoprosencephaly, which is a rare defect; if it were analyzed together with other defect categories (eg, brain malformations) rather than individually, the magnitude of the association would be underestimated. The fact that the majority of defects we were able to assess showed associations with pregestational diabetes demonstrates the substantial impact that type 2 diabetes prevention and diabetes control before pregnancy could have on improving pregnancy outcomes.

Because most birth defects develop in the first trimester and gestational diabetes typically develops later in pregnancy, it is not surprising that gestational diabetes was associated with fewer birth defects and yielded far weaker associations. This risk profile for gestational diabetes could be due to the heterogeneity of women included in our gestational diabetes exposure category, which likely included a mix of true cases of gestational diabetes (eg, diabetes that develops because of pregnancy) with cases of pregestational diabetes that were first detected during pregnancy.

We conducted a sensitivity analysis in which we reassigned mothers who reported gestational diabetes in the first 3 months of pregnancy to the pregestational diabetes exposure group. While there were more case than control mothers who reported gestational diabetes diagnosed in the first trimester, ORs for specific defects in this sensitivity analysis were generally biased slightly toward the null (data not shown), suggesting nondifferential and independent misclassification of exposure, which does not support the hypothesis that mothers who reported gestational diabetes diagnosed early in pregnancy were more likely to have had pregestational diabetes.

Implications

The finding that diabetes is associated with substantially increased risk for many major birth defect categories has important implications for prevention and care. Results from prior studies suggest that good glycemic control before pregnancy (eg, indicated by reduction or normalization of levels of hemoglobin A1c [HbA1c]) is associated with a reduced risk for birth defects.

In a meta-analysis of 5 studies, preconception care for women with diabetes was associated with a greater than 20% decrease in HbA1c.8 In a metaanalysis of 13 studies, preconception care for women with diabetes was associated with a 75% decrease in the risk for birth defects.8

It has been estimated that if all US women with diabetes had appropriate preconception care, birth defects in more than 4,700 infants could be prevented each year, resulting in an estimated $2 billion in cost savings.9 Because pregestational diabetes is a risk factor for other adverse birth outcomes, including preterm delivery, the total savings associated with preconception care for US women with diabetes is estimated to be even higher, at $5.5 billion.9

Despite these benefits, achieving glycemic control prior to pregnancy can be challenging. The American College of Obstetricians and Gynecologists recommends that women with pregestational diabetes maintain glucose control near physiological levels before and during pregnancy through diet, exercise, medication, and routine monitoring.10 However, even with these methods, achieving recommended glucose levels can be challenging for women with diabetes. Furthermore, pregnancy is often recognized after most birth defects have already occurred11 and almost half (45%) of pregnancies in the United States in 2011 were unintended.12 Because achieving good glycemic control takes time, this underscores the need to appropriately manage the health of women with diabetes, regardless of pregnancy intentions.

Another challenge is that not all women who have diabetes have been diagnosed. Data from the National Health and Nutrition Examination Survey suggest that approximately 300,000 nonpregnant US women of reproductive age (15–44 years) have undiagnosed diabetes.13

In addition to improving glycemic control prior to pregnancy, folic acid provides an opportunity for birth defect prevention for women with diabetes. It is recommended that all women capable of becoming pregnant consume 400–800 μg of folic acid daily to prevent neural tube defects, such as spina bifida and anencephaly.14-16

Results from a previous NBDPS analysis and an analysis of data from the Slone Birth Defects Study suggest that folic acid may further attenuate the diabetes-associated risk for certain birth defects.17,18 Unfortunately, women with diabetes are less likely to take folic acid supplements or to achieve recommended folic acid intake for neural tube defect prevention.19

Public policies can also promote birth defects prevention by lowering the barriers to accessible preconception and prenatal care. Data from the Pregnancy Risk Assessment Monitoring System indicate that in 2009 30% of US pregnant women changed health insurance coverage between the month before pregnancy and delivery.20 Much of this change was attributable to women without coverage being covered by the time of delivery; almost 25% of pregnant women had no insurance prior to pregnancy, but by the time of delivery only 1.5% were uninsured. This decrease in the uninsured percentage was largely attributable to a dramatic increase in the percentage of women with Medicaid coverage, from 16.1% just before pregnancy to 43.9% at the time of delivery.

Pregnancy is often a qualifying event for Medicaid, but unfortunately, gaining access to medical care after pregnancy has already started severely limits the ability of women with diabetes to achieve good glycemic control prior to pregnancy. More recent data suggest that the Affordable Care Act’s dependent coverage provision has increased insurance coverage before and during pregnancy.21

Strengths and limitations

Strengths of this analysis include the large sample size, which enabled us to assess associations with specific defect categories without the dilution of risk estimates that can occur when heterogeneous birth defects are grouped. Also, all cases were confirmed with data from medical records, rather than relying only on diagnostic codes, and were classified by the study’s clinical geneticists using standardized methods.5,6

Our analysis had several limitations. Diabetes exposure was based on maternal self-report during a computer-assisted telephone interview. However, a validation study of self-reported diabetes status in the Pregnancy Risk Assessment Monitoring System found high sensitivity and specificity for self-reported diabetes compared with medical record review (~91% and ~95%, respectively).22 In addition, we were not able to analyze birth defect risk by the severity of diabetes because we did not have information on HbA1c levels or other indicators of glycemic control measured before or during early pregnancy. Therefore, our findings reflect an average risk among women with a mixture of different levels of glycemic control. For some defect categories, and particularly for pregestational diabetes, there were few exposed cases, leading to imprecise estimates.

To improve precision, we combined type 1 and type 2 diabetes into a single pregestational diabetes category. Although type 1 and type 2 diabetes are defined by different biological processes, the end result for each is alteration of glucose metabolism; however, the teratogenic mechanism behind the increase risk for birth defects is still unknown.23 Analyses stratified by type of pregestational diabetes showed similar patterns of results for type 1 and type 2 diabetes (data not shown).

We tested many associations and some spurious statistically significant ORs would be expected by chance. However, for pregestational diabetes we observed statistically significant ORs for 46 of the 50 associations assessed (92%), which is unlikely to be explained by statistical fluctuation. In addition, all associations that were assessed are presented, regardless of their statistical significance. Residual confounding may explain some associations, such as the inverse association observed for gestational diabetes and gastroschisis.

Conclusions

Maternal diabetes is a well-recognized risk factor for birth defects. Our study adds to the evidence of risk for many types of birth defects, both common and rare, and supports the urgency of improving preconception diabetes detection and care so that the considerable burden of maternal diabetes on women, their children, families, and society can be reduced.

AJOG at a Glance.

Why was this study conducted?

Diabetes is associated with an increased risk for birth defects and is likely to have an increasing impact on birth defect prevalence because of the rise in diabetes in the United States in recent decades. We used data from the largest population-based birth defect case-control study in the United States to provide updated and more precise estimates of the association between diabetes and specific birth defects, including some defects not previously assessed.

Key findings

Pregestational diabetes was associated with strong, statistically significant odds ratios (range, 2.5–80.2) for 46 of 50 birth defects considered; for gestational diabetes, statistically significant odds ratios were fewer (12 of 56) and of smaller magnitude (range, 1.3–2.1; 0.5 for gastroschisis).

What does this add to what is known?

Pregestational diabetes is associated with a markedly increased risk for many specific births defects.

Acknowledgments

The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.

This work was supported through Centers for Disease Control and Prevention cooperative agreements under PA 96043, PA 02081, FOA DD09-001, FOA DD13-003, and NOFO DD18-001 to the Centers for Birth Defects Research and Prevention participating in the National Birth Defects Prevention Study and/or the Birth Defects Study to Evaluate Pregnancy exposureS.

Footnotes

The authors report no conflicts of interest.

Presented at the 2018 annual meeting of the American College of Epidemiology, Cincinnati, OH, Sept. 24–25, 2018.

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