Abstract
Aims/hypothesis
We aimed to compare the risks of severe asphyxia-related neonatal complications in the offspring of mothers with type 1 or type 2 diabetes, and to assess the impact of maternal overweight/obesity on these risks.
Methods
This was a population-based study of 1,343,751 live-born singleton infants in Sweden between 1997 and 2011, including 5941 and 711 infants of mothers with type 1 and type 2 diabetes, respectively. ORs with 95% CIs were calculated for low Apgar score (0–6) at 5 min after birth, hypoxic ischaemic encephalopathy and neonatal seizures.
Results
The rates of a low Apgar score were 0.9%, 2.6% and 2.1% in the offspring of mothers without diabetes or with type 1 or type 2 diabetes, respectively. After controlling for maternal confounders (including BMI), the risk of a low Apgar score increased in the offspring of mothers with type 1 diabetes (OR 2.67, 95% CI 2.23, 3.20) but not in the offspring of mothers with type 2 diabetes (OR 1.25, 95% CI 0.66, 2.35). The ORs of hypoxic ischaemic encephalopathy or neonatal seizures were increased in the offspring of mothers with type 1 diabetes (OR 3.41, 95% CI 2.58, 4.49) and type 2 diabetes (OR 2.54, 95% CI 1.13, 5.69). Maternal overweight/obesity was a risk factor for asphyxia-related neonatal complications and low Apgar scores in the offspring of mothers with type 1 diabetes and mothers without diabetes.
Conclusions/interpretation
The risks of a low Apgar score and severe asphyxia-related neonatal complications are increased in the offspring of mothers with type 1 or type 2 diabetes. Maternal overweight/obesity is an important contributing factor.
Keywords: Apgar score, Asphyxia, Asphyxia-related neonatal morbidity, Body mass index (BMI), Diabetes type 1, Diabetes type 2, Obesity, Overweight
Introduction
In spite of advances in the management of pregnant women with type 1 or type 2 diabetes, the risks of neonatal morbidity and mortality remain increased [1, 2]. Low Apgar scores are more frequent in the offspring of mothers with type 1 diabetes [3] and are associated with markedly increased risks of neonatal mortality and morbidity [4, 5]. It is, however, unclear whether the risks of a low Apgar score or other asphyxia-related neonatal complications are also increased in the offspring of mothers with type 2 diabetes.
Maternal hyperglycaemia leads to fetal hyperglycaemia and hyperinsulinaemia. Data from both experimental and human studies support the hypothesis that fetal hyperglycaemia increases the risk of fetal hypoxia [6, 7]. We have previously demonstrated that maternal obesity in early pregnancy increases the risks of low Apgar scores and asphyxia-related neonatal complications in the infants of mothers without diabetes [8]. The prevalence of severe obesity continues to increase in women of reproductive age [9], as it does in women with type 1 or type 2 diabetes [10, 11]. In the offspring of mothers with type 1 diabetes, maternal obesity increases the risks of major malformations and macrosomia [12]. However, it is unclear whether maternal overweight and obesity also increase the risks of asphyxia-related neonatal complications in the offspring of mothers with type 1 diabetes.
In this study, we investigated the offspring of mothers with type 1 or type 2 diabetes with respect to the risks of a low Apgar score (0–6) at 5 min and asphyxia-related neonatal morbidity (neonatal seizures and hypoxic ischaemic encephalopathy [HIE]). In addition, we investigated the impact of overweight and obesity on these risks in the offspring of mothers with type 1 diabetes and without diabetes.
Methods
Data sources
This study was based on prospectively collected data from nationwide Swedish registries. The individual record linkage between registries was done by using the unique personal identification number assigned to all residents in Sweden [13]. The Medical Birth Register (MBR) contains data on more than 98% of all births in Sweden since 1973. The MBR is continuously checked for quality by the National Board of Health and Welfare, and the validity of most variables is considered to be high [14]. Using standardised forms, physicians and midwives prospectively collect information during pregnancy, delivery and the neonatal period. Maternal and neonatal diagnoses are classified according to the ICD, and since 1997 the ICD-10 (www.who.int/classifications/icd/en/) has been used. Infants with diagnoses of neonatal seizures and/or HIE were identified based on ICD-10 codes in the MBR and/or in the National Patient Register for inpatient care [15]. Information on the mother’s country of birth and level of education was retrieved from the Total Population Register and Education Register, respectively. The study was approved by the Research and Ethics Committee at Karolinska Institutet (No. 2012/1813-31/4).
Study population
Between 1997 and 2011, the MBR included information on 1,441,623 live singleton births. We excluded infants with malformations (n = 84,711, ICD 10 codes Q00-Q99), offspring of mothers with an unclear diagnosis of diabetes (n = 64) and offspring of mothers with gestational diabetes (n = 13,097). Thus, the final study population included 1,343,751 live singleton births.
Exposures
The main exposures were maternal pregestational diabetes and maternal BMI. Mothers with type 1 or type 2 diabetes were identified based on ICD-10 codes O240 and O241, respectively. The reference group included 1,337,099 offspring of mothers without diabetes. Maternal BMI (kg/m2) was based on measured weight and self-reported height at the first antenatal visit, which usually took place in the first trimester [16]. Women were categorised as underweight (BMI <18.5 kg/m2), normal weight (BMI 18.5 to <25 kg/m2), overweight (BMI 25 to <30 kg/m2) or obese (BMI ≥30 kg/m2) according to the WHO criteria [17].
Covariates
The overall analyses included covariates of maternal age, height, BMI, self-reported smoking status, level of education, parity, mother’s country of birth and year of delivery. These variables were categorised as shown in Table 1.
Table 1.
Characteristic | Diabetes | No diabetes | |
---|---|---|---|
Type 1 | Type 2 | n (%) | |
n (%) | n (%) | ||
Maternal age (years) | |||
≤24 | 767 (12.9) | 35 (4.9) | 203,418 (15.2) |
25–29 | 1807 (30.4) | 119 (16.7) | 415,759 (31.1) |
30–34 | 2062 (34.7) | 221 (31.1) | 459,539 (34.4) |
≥35 | 1292 (21.7) | 334 (47.0) | 255,232 (19.1) |
Missing | 13 (0.2) | 2 (0.3) | 3151 (0.2) |
Height (cm) | |||
≤164 | 2034 (34.2) | 318 (44.7) | 479,637 (35.9) |
165–174 | 2856 (48.1) | 292 (41.1) | 647,159 (48.4) |
≥175 | 576 (9.7) | 59 (8.3) | 123,677 (9.2) |
Missing | 475 (8.0) | 42 (5.9) | 86,626 (6.5) |
BMI (kg/m2) | |||
≤24.9 | 2553 (43.0) | 120 (16.9) | 758,158 (56.7) |
25.0–29.9 | 1765 (29.7) | 164 (23.1) | 295,853 (22.1) |
30.0–34.9 | 624 (10.5) | 183 (25.7) | 91,275 (6.8) |
≥35.0 | 291 (4.9) | 171 (24.1) | 35,401 (2.6) |
Missing | 708 (11.9) | 73 (10.3) | 156,412 (11.7) |
Smoking | |||
No smoking | 4876 (82.1) | 594 (83.5) | 1,146,998 (85.8) |
Smoking | 608 (10.2) | 83 (11.7) | 125,273 (9.4) |
Missing | 457 (7.7) | 34 (4.8) | 64,828 (4.8) |
Education (years) | |||
≤11 | 1559 (26.2) | 307 (43.2) | 331,538 (24.8) |
12 | 1613 (27.2) | 162 (22.8) | 340,267 (25.4) |
≥13 | 2676 (45.0) | 207 (29.1) | 631,335 (47.2) |
Missing | 93 (1.6) | 35 (4.9) | 33,959 (2.5) |
Parity | |||
First birth | 2659 (44.8) | 235 (33.1) | 591,629 (44.2) |
Second or more | 3282 (55.2) | 476 (66.9) | 745,470 (55.8) |
Maternal birth country | |||
Nordic countrya | 5416 (91.7) | 427 (61.1) | 1,087,461 (82.4) |
Non-Nordic country | 487 (8.3) | 272 (38.9) | 232,967 (17.6) |
HT | |||
Chronic HT | 251 (4.2) | 53 (7.5) | 7691 (0.6) |
Pre-eclampsia (PE) | 845 (14.2) | 54 (7.6) | 35,554 (2.7) |
No HT/PE | 4845 (81.6) | 604 (85.0) | 1,293,854 (96.8) |
Delivery | |||
Caesarean section | 3011 (50.7) | 303 (42.6) | 201,654 (15.1) |
Vaginal instrumental | 580 (9.8) | 41 (5.8) | 101,424 (7.6) |
Non-instrumental | 2350 (39.6) | 367 (51.6) | 1,034,021 (77.3) |
Gestational age (weeks) | |||
<32 | 106 (1.8) | 14 (2.0) | 7570 (0.6) |
32–36 | 1066 (17.9) | 78 (11.0) | 52,419 (3.9) |
≥37 | 4574 (77.0) | 610 (85.8) | 1,271,900 (95.1) |
Missing | 195 (3.3) | 9 (1.3) | 5210 (0.4) |
Birthweight (g) | |||
<2500 | 291 (4.9) | 39 (5.5) | 37,568 (2.8) |
2500–3999 | 3311 (55.7) | 457 (64.3) | 1,033,231 (77.3) |
4000–4499 | 1457 (24.5) | 141 (19.8) | 209,887 (15.7) |
4500–4999 | 581 (9.8) | 53 (7.5) | 44,719 (3.3) |
>5000 | 105 (1.8) | 12 (1.7) | 6340 (0.5) |
Missing | 196 (3.3) | 9 (1.3) | 5354 (0.4) |
Birthweight for gestational age (percentiles) | |||
<3 | 61 (1.0) | 9 (1.3) | 20,028 (1.5) |
3 to <10 | 104 (1.8) | 23 (3.2) | 62,598 (4.7) |
10 to 90 | 2505 (42.2) | 418 (58.8) | 1,089,066 (81.4) |
>90 to 97 | 1095 (18.4) | 111 (15.6) | 114,136 (8.5) |
>97 | 1981 (33.3) | 141 (19.8) | 46,061 (3.4) |
Missing | 195 (3.3) | 9 (1.3) | 5210 (0.4) |
Year of birth | |||
1997–2001 | 1563 (26.3) | 135 (19.0) | 395,388 (29.6) |
2002–2006 | 2027 (34.1) | 187 (26.3) | 446,532 (33.4) |
2007–2011 | 2351 (39.6) | 389 (54.7) | 495,179 (37.0) |
aNordic country of birth includes Sweden, Denmark, Finland, Iceland and Norway
HT, hypertension; PE, pulmonary embolism
Outcomes
We estimated the risks of a low Apgar score (0–6) at 5 min, neonatal seizures (ICD-10 code P90) and HIE (ICD-10 codes P 91.0, 91.3-P91.6, P918 and P919). Owing to limitations of statistical power, neonatal seizures and HIE were analysed as one composite outcome.
Statistical analysis
The rates of all outcomes were calculated for the offspring of mothers with type 1 or type 2 diabetes and for the infants of mothers without diabetes. ORs with 95% CIs were calculated using logistic regression, with the offspring of mothers without diabetes as the reference. The first adjusted model included information on maternal age, height, smoking status, level of education, parity, maternal country of birth and year of delivery. In a second model, we additionally adjusted for maternal BMI. Height was included in the adjusted model as it is independently associated with emergency Caesarean section [18], which may in turn reflect an increased risk of birth asphyxia-related complications. In stratified analyses, the risks of a low Apgar score and asphyxia-related neonatal morbidity (neonatal seizures or HIE) were investigated in subgroups of infants born to normal-weight, overweight or obese mothers. Owing to limitations of statistical power, stratified analyses were confined to the offspring of mothers with type 1 diabetes and those without diabetes. Interactions between type 1 diabetes (yes/no) and maternal BMI (<25 vs ≥25 kg/m2) with risks of low Apgar score and asphyxia-related morbidity were tested for with likelihood tests. Interactions were judged significant at p < 0.05. Sensitivity analyses, confined to term infants with a birthweight for gestational age within the 10th–90th percentiles of mothers without hypertensive diseases (chronic hypertension and pre-eclampsia), were also performed. A general estimation equation was applied to account for repeated pregnancies.
Results
From 1997 through 2011, there was a total of 5941 live singleton births to mothers with type 1 diabetes, 711 to mothers with type 2 diabetes and 1,337,099 to mothers without diabetes. Mothers with type 2 diabetes were more often of non-Nordic origin, older and multiparous, and had a shorter time in education, than mothers with type 1 diabetes and mothers without diabetes. The prevalence of overweight/obesity and smoking was also higher in women with type 2 diabetes (Table 1).
Compared with mothers without diabetes, mothers with type 1 or type 2 diabetes had higher rates of pre-eclampsia, chronic hypertension, Caesarean section and vaginal instrumental delivery. Pre-eclampsia, Caesarean section and vaginal instrumental delivery were most common in mothers with type 1 diabetes, whereas chronic hypertension was most common in mothers with type 2 diabetes. Rates of preterm birth and large-for-gestational age infants (90th–97th percentile and >97th percentile) were also much increased in the offspring of mothers with diabetes, in particular in those of mothers with type 1 diabetes (Table 1).
Low Apgar score
At 5 min, a low Apgar score (0–6) was recorded in 2.6% (n = 153) of the offspring of mothers with type 1 diabetes and in 0.9% of the offspring of non-diabetic mothers, corresponding to an almost threefold increased risk after adjustment for confounders (Table 2). A low Apgar score was recorded in 2.1% (n = 15) of the offspring of mothers with type 2 diabetes, corresponding to a more than doubled risk. However, the risk of a low Apgar score in the offspring of mothers with type 2 diabetes was not significant after adjustment for maternal confounders (model 1), and taking maternal BMI into account as well (model 2) further reduced the risk (Table 2).
Table 2.
No Diabetes | Diabetes | ||
---|---|---|---|
Type 1 | Type 2 | ||
Low Apgar score | |||
Low | 11,887 (0.9) | 153 (2.6) | 15 (2.1) |
Not low | 1,315,428 (99.1) | 5699 (97.4) | 691 (97.9) |
Crude | Reference | 2.99 (2.54, 3.51) | 2.28 (1.34, 3.89) |
Model 1 | Reference | 2.92 (2.46, 3.48) | 1.60 (0.85, 3.01) |
Model 2 | Reference | 2.67 (2.23, 3.20) | 1.25 (0.66, 2.35) |
Convulsions or HIE | |||
Convulsions/HIE | 3782 (0.3) | 61 (1.0) | 9 (1.3) |
No convulsions/HIE | 1,333,317 (99.7) | 5880 (99.0) | 702 (98.7) |
Crude | Reference | 3.56 (2.75, 4.61) | 4.59 (2.37, 8.9) |
Model 1 | Reference | 3.68 (2.81, 4.81) | 4.31 (2.13, 8.71) |
Model 2 | Reference | 3.40 (2.58, 4.48) | 2.54 (1.13, 5.69) |
Data are n (%) or OR (95% CI)
Risks of low Apgar scores are calculated based on infants with information on Apgar scores
Model 1: adjusted for maternal age, maternal height, smoking, education, parity, maternal country of birth and year of delivery
Model 2: adjusted for BMI, maternal age, maternal height, smoking, education, parity, maternal country of birth and year of delivery
Asphyxia-related morbidity
Rates of severe asphyxia-related neonatal morbidity (defined as either neonatal seizures and/or HIE) were comparable in the offspring of mothers with type 1 and type 2 diabetes, and were markedly higher than in the offspring of mothers without diabetes. The risk of asphyxia-related morbidity was more than three times increased in the offspring of mothers with type 1 diabetes, and was only slightly reduced after adjustment for confounders. In the offspring of mothers with type 2 diabetes, the corresponding crude risk showed a greater than four times increase, but decreased after adjustment for maternal BMI (Table 2).
Sensitivity analyses
Confining the analyses to term offspring with a birthweight for gestational age between the 10th and 90th percentiles of those seen in mothers without hypertensive diseases slightly reduced the risk of a low Apgar score in both the offspring of mothers with type 1 and type 2 diabetes (Table 3). Corresponding sensitivity analyses of severe asphyxia-related morbidity revealed even higher risks in the offspring of mothers with type 1 diabetes, whereas the risks were not increased in the offspring of mothers with type 2 diabetes (Table 3).
Table 3.
No Diabetes | Diabetes | ||
---|---|---|---|
Type 1 | Type 2 | ||
Low Apgar score | |||
Low | 6781 (0.7) | 26 (1.4) | 5 (1.5) |
Not low | 1,010,307 (99.3) | 1871 (98.6) | 332 (98.5) |
Crude | Reference | 2.09 (1.42, 3.08) | 1.82 (0.68, 4.93) |
Model 1 | Reference | 1.96 (1.31, 2.94) | 1.33 (0.42, 4.22) |
Model 2 | Reference | 1.76 (1.15, 2.69) | 1.06 (0.33, 3.35) |
Convulsions or HIE | |||
Convulsions/HIE | 2434 (0.2) | 19 (1.0) | 2 (0.6) |
No convulsions/HIE | 1,021,680 (99.8) | 1905 (99.0) | 336 (99.4) |
Crude | Reference | 4.20 (2.67, 6.60) | 2.52 (0.62, 10.3) |
Model 1 | Reference | 4.10 (2.57, 6.54) | 1.31 (0.17, 9.82) |
Model 2 | Reference | 4.05 (2.54, 6.45) | 1.07 (0.14, 8.07) |
Data are n (%) or OR (95% CI)
Model 1: adjusted for maternal age, maternal height, smoking, education, parity, maternal country of birth and year of delivery
Model 2: adjusted for BMI, maternal age, maternal height, smoking, education, parity, maternal country of birth and year of delivery
Maternal overweight and obesity and risk of low Apgar score
In the offspring of mothers with type 1 diabetes, the rate of a low Apgar score increased with maternal overweight and obesity (Table 4). Compared with the offspring of normal-weight mothers with type 1 diabetes, the risk of a low Apgar score increased with maternal overweight and obesity among the offspring of mothers with type 1 diabetes. Similar increments in risk associated with maternal overweight and obesity were found in the offspring of mothers without diabetes (Table 4). No significant interactions were found between type 1 diabetes (yes/no) and BMI (<25 or ≥25 kg/m2) with respect to the risk of a low Apgar score (p = 0.71) and asphyxia-related morbidity (p = 0.33). Owing to limited statistical power, it was not possible to perform BMI analyses in the offspring of mothers with type 2 diabetes.
Table 4.
Mothers with type 1 diabetesa,b | Mothers with no diabetesb,c | |||||
---|---|---|---|---|---|---|
BMI ≤24.9 | BMI 25.0–29.9 | BMI ≥30.0 | BMI ≤24.9 | BMI 25.0–29.9 | BMI ≥30.0 | |
Low Apgar score | ||||||
Low | 48 (1.9) | 54 (3.1) | 29 (3.2) | 5608 (0.7) | 2921 (1.0) | 1738 (1.4) |
Not low | 2476 (98.1) | 1685 (96.9) | 871 (96.8) | 747,553 (99.3) | 290,989 (99.0) | 124,022 (98.6) |
Crude | Reference | 1.63 (1.09, 2.43) | 1.73 (1.08, 2.75) | Reference | 1.34 (1.28, 1.40) | 1.87 (1.77, 1.97) |
Adjusted | Reference | 1.54 (1.03, 2.32) | 1.82 (1.12, 2.95) | Reference | 1.36 (1.30, 1.43) | 1.92 (1.82, 2.04) |
Convulsions or HIE | ||||||
Convulsions/HIE | 24 (0.9) | 17 (1.0) | 13 (1.4) | 1816 (0.2) | 920 (0.3) | 529 (0.4) |
No convulsions/HIE | 2529 (99.1) | 1748 (99.0) | 902 (98.6) | 756,342 (99.8) | 294,933 (99.7) | 126,147 (99.6) |
Crude | Reference | 0.91 (0.47, 1.73) | 1.54 (0.78, 3.02) | Reference | 1.30 (1.20, 1.41) | 1.75 (1.59, 1.93) |
Adjusted | Reference | 0.86 (0.45, 1.65) | 1.59 (0.80, 3.15) | Reference | 1.35 (1.24, 1.46) | 1.85 (1.68, 2.05) |
Data are n (%) or OR (95% CI)
Scores were adjusted for maternal age, maternal height, smoking, education, parity, maternal country of birth and time period
a n = 5163; 689 observations were excluded due to missing information on BMI in analyses of low Apgar scores
b n = 156,412 observations were excluded due to missing information on BMI in analyses of asphyxia-related morbidity
c n = 1,172,831; 154,484 observations were excluded due to missing information on BMI in analyses of low Apgar scores
Maternal overweight and obesity and risk of asphyxia-related outcomes
Compared with the offspring of normal-weight mothers with type 1 diabetes, the rate of asphyxia-related morbidity was higher in the offspring of obese mothers with type 1 diabetes, but risk estimates were not significantly increased (Table 4). In mothers who did not have diabetes, the risk of asphyxia-related neonatal morbidity was significantly increased in the offspring of overweight and obese mothers, with little change after adjustment for confounders (Table 4).
Discussion
This nationwide study demonstrates that the risks of a low Apgar score and severe asphyxia-related neonatal morbidity are similarly increased in the offspring of mothers with type 1 and type 2 diabetes. In stratified analyses, we found that maternal overweight and obesity were associated with increased risks of a low Apgar score and severe asphyxia-related neonatal morbidity in the offspring of both mothers with type 1 diabetes and without diabetes. In the offspring of mothers with type 2 diabetes, the increased risks of a low Apgar score and severe asphyxia-related neonatal morbidity were partly attributed to their mothers’ increased rates of overweight and obesity.
Study strengths include the population-based design, with more than 1.3 million births, including almost 6000 births to mothers with type 1 diabetes and around 700 births to mothers with type 2 diabetes. Data on exposure and outcomes were collected prospectively, which limits the risks of selection and recall bias. We also had information on a large number of confounders, including maternal BMI. This enabled us not only to investigate whether risks related to maternal type 1 or type 2 diabetes were due to BMI or other confounders, but also to investigate overweight- and obesity-related risks in women with type 1 diabetes. In the present study, BMI was calculated based on self-reported height and measured weight at the first antenatal visit. The average weight gain in the first trimester is approximately 2 kg [19]. Although the use of pre-pregnancy weight may seem preferable, it is by necessity self-reported, and women tend to under-report their weight and over-report their height [20]. However, we cannot exclude the fact that risks of a low Apgar score and asphyxia-related neonatal morbidity associated with BMI may have been slightly over- or underestimated due to errors of measurement of height and weight.
The MBR does not contain data on duration of diabetes, prevalence of pre-existing microangiopathy or glycaemic control during pregnancy or at delivery. Thus, the impact of these variables on the risks of a low Apgar score and asphyxia-related neonatal morbidity could not be assessed. In spite of the large sample size, power was sometimes limited or insufficient, especially for stratified analyses of the offspring of mothers with type 2 diabetes.
To our knowledge, this is the first study to investigate the risks of a low Apgar score and asphyxia-related neonatal morbidity in the offspring of mothers with type 1 or type 2 diabetes. The finding of significantly increased risks in the offspring of mothers with diabetes is of concern, given the severity of these outcomes and the increasing incidence of diabetes [21–24]. Although there are many possible causes of a low Apgar score, low scores are strongly associated with adverse asphyxia-related outcomes. Infants with a low (0–6) Apgar score at 5 min face a 45 times increased risk of neonatal death (death within the first 4 weeks of life) [25], and a 31 times higher risk of cerebral palsy compared with infants with a higher Apgar score [22].
We found comparable risks of low Apgar scores and asphyxia-related neonatal morbidity in the offspring of mothers with type 1 and type 2 diabetes, but the impact of maternal characteristics on the risks differed between the groups. In the offspring of mothers with type 2 diabetes, the risks were largely reduced when maternal age, education, smoking, country of birth and parity were taken into account. In particular, risks were attenuated when also adjusting for maternal BMI. In contrast, in pregnancies in women with type 1 diabetes, the impact of these variables on the risks of a low Apgar score and related outcomes was very limited. Type 1 and type 2 diabetes are characterised by different phenotypes and genetic backgrounds. The duration of disease, level of control, prevalence of angiopathy and other factors of relevance to the risk of birth asphyxia differ substantially between individuals with type 1 and type 2 diabetes.
Type 1 and type 2 diabetes are associated with increased rates of hypertensive disorders in pregnancy, preterm birth, growth restriction and large-for-gestational age infants. These conditions are well-known risk factors for birth asphyxia [26]. When excluding the offspring of hypertensive mothers, preterm infants and infants with a low or high birthweight for gestational age from sensitivity analyses, the risks of a low 5 min Apgar score and asphyxia-related morbidity were largely reduced in pregnancies in mothers with type 2 diabetes. In contrast, in pregnancies where the mother had type 1 diabetes, these exclusions had limited impact on risk estimates. In particular, risks of convulsions and HIE also remained high in term, normal-weight offspring of mothers with type 1 diabetes. These findings suggest that the pathophysiological background for the increased risk of birth asphyxia differs between pregnancies in mothers with type 1 and type 2 diabetes. It must be recalled that a normal size at birth for pregnancies in mothers with type 1 diabetes does not necessarily reflect normality. For instance, maternal diabetic vasculopathy increases the risk of impaired placental circulation and may compensate for the growth-promoting effects of diabetes and result in misleadingly normal fetal growth in the pregnancies of mothers with type 1 diabetes. This may at least partly explain the increased risks of a low Apgar score, convulsions and HIE observed even in the offspring of mothers with type 1 diabetes with a birthweight between the 10th and 90th percentiles. Furthermore, in pregnancies in mothers with type 1 diabetes, the risks of chronic fetal hypoxia and stillbirth increase continuously from around 32 weeks’ gestation toward term [27]. This may be one factor behind the high risks of low Apgar scores and severe asphyxia-related neonatal complications in offspring born at term to women with type 1 diabetes.
Pregnancies complicated by type 1 or type 2 diabetes are characterised by fetal hyperinsulinaemia. The association between fetal insulin levels, measured as C-peptide concentrations in cord blood, and neonatal fat mass is well recognised [5]. Data from both experimental and clinical studies suggest that fetal hyperinsulinaemia increases the risk of chronic fetal hypoxia [6, 7, 28] but may also be a risk factor for acute hypoxia. It has also been suggested that fetal hyperinsulinaemia increases the risk of fetal cardiomyopathy, which is seen in 20–40% of the offspring of mothers with type 1 diabetes [29, 30]. This condition may be present with and without symptoms and appear to be transient at 1 year after birth [31]. However, cardiomyopathy is a common finding in stillbirths to mothers with type 1 diabetes and is a possible contributory cause of ‘unexplained’ fetal death [32].
In pregnancies complicated by type 1 diabetes, there is already evidence of poorer fetal cardiac function in the first trimester, and at 36 weeks of gestation a persistent lower right ventricular performance in combination with structural abnormalities has been reported [33]. Furthermore, the infants of mothers with type 1 diabetes have altered heart variability (rate/rhythm) at birth, with a pattern suggestive of sympathetic predominance [34] and elevated levels of biomarkers of cardiac dysfunction [35]. Against this background, it is possible that alterations in cardiac structure and function, in combination with intrauterine hyperglycaemia and hyperinsulinaemia, lead to increased susceptibility to hypoxia in the fetuses of mothers with type 1 diabetes.
Another possible contributing factor behind the increased risks of asphyxia in the offspring of mothers with type 1 diabetes relates to abnormal placental structure and function. Placentas from pregnancies of mothers with type 1 diabetes are generally larger than normal, and common histological changes include villous immaturity, chorangiosis and the presence of nucleated fetal erythrocytes [36]. These placental abnormalities are associated with chronic hypoxia and are often seen in spite of good glycaemic control [36].
We previously demonstrated that the risk of low Apgar scores increases with maternal obesity in all singleton births [8, 37]. The results of the present study demonstrate a similar pattern in the offspring of mothers with type 1 diabetes. The mechanism behind these findings is unclear. In pregnancies of women with diabetes or obesity, there is a high prevalence of large-for-gestational age infants. Large babies are at risk of traumatic delivery, which may in turn increase risk of birth asphyxia [38]. However, even after excluding large-for-gestational age infants from the analyses, the risks of low Apgar scores and related outcomes in the offspring of mothers with type 1 diabetes remained essentially unchanged.
The Hyperglycemia and Adverse Pregnancy Outcome (HAPO) study found an independent association between maternal overweight/obesity and risk of hyperinsulinaemia in cord blood [39], which is in turn a risk factor for fetal hypoxia. In addition, obesity in pregnancy is associated with a state of insulin resistance, inflammation and endothelial dysfunction in maternal and placental tissues [40, 41]. It is possible that fetal hyperinsulinaemia and placental inflammation and vascular dysfunction contribute to increased risks of birth asphyxia with increasing maternal BMI in pregnancies with and without type 1 diabetes in the mother.
In conclusion, the offspring of mothers with type 1 or type 2 diabetes have increased risks of low Apgar scores and severe asphyxia-related neonatal morbidity. Concomitant diabetes and overweight/obesity are associated with even higher risks. Risk factors for neonatal asphyxia partly differ between mothers with type 1 and type 2 diabetes. The prevalence of conventional risk factors, such as higher maternal age, obesity, smoking and lower educational levels, is higher in women with type 2 diabetes than women with type 1 diabetes. These factors have a greater impact on the risk of low Apgar scores in the offspring of mothers with type 2 diabetes compared with the offspring of mothers with type 1 diabetes. In addition, as demonstrated in the sensitivity analyses, the role of potential fetal mediators (preterm birth and abnormal fetal size) for risk of birth asphyxia is more evident for mothers with type 2 diabetes. We believe that these results are also applicable to women with diabetes in countries similar to Sweden. Women with type 1 or type 2 diabetes should be encouraged to strive towards a normal body weight before pregnancy.
Abbreviations
- HIE
Hypoxic ischaemic encephalopathy
- MBR
Medical Birth Register
Data availability
The authors confirm that, for approved reasons, some access restrictions apply to the data underlying the findings. This national cohort study was based on data from the Swedish MBR. According to Swedish law, the authors are not able to share the register data used in this study with other researchers.
Funding
MP was funded by Stockholm City Council (clinical post-doc position). The study was supported by a grant from the Swedish Research Council for Health, Working Life and Welfare (grant No. 2014-0073) and by an unrestricted grant from the Karolinska Institutet (Distinguished Professor Award to SC).
Duality of interest
The authors declare that there is no duality of interest associated with this manuscript.
Contribution statement
MP, AL and SC contributed to the concept and design of the study, the analysis or interpretation of data, critical revision of the manuscript for important intellectual content and final approval of the manuscript. In addition, SC was involved in acquisition of the data and administrative, technical or material support, MP was involved in drafting the manuscript and AL was involved in the statistical analysis. SC had full access to all the data in the study and takes full responsibility for the integrity of the data and the accuracy of the data analysis.
References
- 1.Colstrup M, Mathiesen ER, Damm P, Jensen DM, Ringholm L. Pregnancy in women with type 1 diabetes: have the goals of St. Vincent declaration been met concerning foetal and neonatal complications? J Matern-Fetal Neonatal. 2013;26:1682–1686. doi: 10.3109/14767058.2013.794214. [DOI] [PubMed] [Google Scholar]
- 2.Balsells M, Garcia-Patterson A, Gich I, Corcoy R. Maternal and fetal outcome in women with type 2 versus type 1 diabetes mellitus: a systematic review and metaanalysis. J Clin Endocrinol Metab. 2009;94:4284–4291. doi: 10.1210/jc.2009-1231. [DOI] [PubMed] [Google Scholar]
- 3.Persson M, Norman M, Hanson U. Obstetric and perinatal outcomes in type 1 diabetic pregnancies: a large, population-based study. Diabetes Care. 2009;32:2005–2009. doi: 10.2337/dc09-0656. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Rackham O, Paize F, Weindling AM. Cause of death in infants of women with pregestational diabetes mellitus and the relationship with glycemic control. Postgrad Med. 2009;121:26–32. doi: 10.3810/pgm.2009.07.2026. [DOI] [PubMed] [Google Scholar]
- 5.HAPO Study Cooperative Research Group Hyperglycemia and adverse pregnancy outcome (HAPO) study: associations with neonatal anthropometrics. Diabetes. 2009;58:453–459. doi: 10.2337/db08-1112. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Philipps AF, Widness JA, Garcia JF, Raye JR, Schwartz R. Erythropoietin elevation in the chronically hyperglycemic fetal lamb. Proc Soc Exp Biol Med. 1982;170:42–47. doi: 10.3181/00379727-170-41394. [DOI] [PubMed] [Google Scholar]
- 7.Teramo KA, Widness JA. Increased fetal plasma and amniotic fluid erythropoietin concentrations: markers of intrauterine hypoxia. Neonatology. 2009;95:105–116. doi: 10.1159/000153094. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Persson M, Johansson S, Villamor E, Cnattingius S. Maternal overweight and obesity and risks of severe birth-asphyxia-related complications in term infants: a population-based cohort study in Sweden. PLoS Med. 2014;11 doi: 10.1371/journal.pmed.1001648. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Flegal KM, Kruszon-Moran D, Carroll MD, Fryar CD, Ogden CL. Trends in obesity among adults in the United States, 2005 to 2014. JAMA. 2016;315:2284–2291. doi: 10.1001/jama.2016.6458. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Klemetti M, Nuutila M, Tikkanen M, Kari MA, Hiilesmaa V, Teramo K. Trends in maternal BMI, glycaemic control and perinatal outcome among type 1 diabetic pregnant women in 1989-2008. Diabetologia. 2012;55:2327–2334. doi: 10.1007/s00125-012-2627-9. [DOI] [PubMed] [Google Scholar]
- 11.Owens LA, Egan AM, Carmody L, Dunne F. Ten years of optimizing outcomes for women with type 1 and type 2 diabetes in pregnancy—the Atlantic DIP experience. J Clin Endocrinol Metab. 2016;101:1598–1605. doi: 10.1210/jc.2015-3817. [DOI] [PubMed] [Google Scholar]
- 12.Persson M, Pasupathy D, Hanson U, Westgren M, Norman M. Pre-pregnancy body mass index and the risk of adverse outcome in type 1 diabetic pregnancies: a population-based cohort study. BMJ Open. 2012;2 doi: 10.1136/bmjopen-2011-000601. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Ludvigsson JF, Otterblad-Olausson P, Pettersson BU, Ekbom A. The Swedish personal identity number: possibilities and pitfalls in healthcare and medical research. Eur J Epidemiol. 2009;24:659–667. doi: 10.1007/s10654-009-9350-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Welfare TNBoHa (2014) The National Board of Health and Welfare.The Swedish Medical Birth Register. A summary of content and quality. Available from www.socialstyrelsen.se/publikationer2003/2003-112-3. Accessed 5 Mar 2014
- 15.Ludvigsson JF, Andersson E, Ekbom A, et al. External review and validation of the Swedish national inpatient register. BMC Public Health. 2011;11:450. doi: 10.1186/1471-2458-11-450. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Cnattingius S, Villamor E, Johansson S, et al. Maternal obesity and risk of preterm delivery. JAMA. 2013;309:2362–2370. doi: 10.1001/jama.2013.6295. [DOI] [PubMed] [Google Scholar]
- 17.WHO (2015) Global database on body mass index. Available from http://apps.who.int/bmi/. Accessed 24 Mar 2017
- 18.Cnattingius R, Cnattingius S, Notzon FC. Obstacles to reducing cesarean rates in a low-cesarean setting: the effect of maternal age, height, and weight. Obstet Gynecol. 1998;92:501–506. doi: 10.1016/s0029-7844(98)00244-0. [DOI] [PubMed] [Google Scholar]
- 19.Hedderson MM, Gunderson EP, Ferrara A. Gestational weight gain and risk of gestational diabetes mellitus. Obstet Gynecol. 2010;115:597–604. doi: 10.1097/AOG.0b013e3181cfce4f. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Brunner Huber LR. Validity of self-reported height and weight in women of reproductive age. Matern Child Health J. 2007;11:137–144. doi: 10.1007/s10995-006-0157-0. [DOI] [PubMed] [Google Scholar]
- 21.Casey BM, McIntire DD, Leveno KJ. The continuing value of the Apgar score for the assessment of newborn infants. N Engl J Med. 2001;344:467–471. doi: 10.1056/NEJM200102153440701. [DOI] [PubMed] [Google Scholar]
- 22.Moster D, Lie RT, Irgens LM, Bjerkedal T, Markestad T. The association of Apgar score with subsequent death and cerebral palsy: a population-based study in term infants. J Pediatr. 2001;138:798–803. doi: 10.1067/mpd.2001.114694. [DOI] [PubMed] [Google Scholar]
- 23.Hussen HI, Persson M, Moradi T. The trends and the risk of type 1 diabetes over the past 40 years: an analysis by birth cohorts and by parental migration background in Sweden. BMJ Open. 2013;3:2013–003418. doi: 10.1136/bmjopen-2013-003418. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Maahs DM, West NA, Lawrence JM, Mayer-Davis EJ. Epidemiology of type 1 diabetes. Endocrinol Metab Clin N Am. 2010;39:481–497. doi: 10.1016/j.ecl.2010.05.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Iliodromiti S, Mackay DF, Smith GC, Pell JP, Nelson SM. Apgar score and the risk of cause-specific infant mortality: a population-based cohort study. Lancet. 2014;384:1749–1755. doi: 10.1016/S0140-6736(14)61135-1. [DOI] [PubMed] [Google Scholar]
- 26.Berhman REK, Kliegman RM, Gotoff SP. The fetus and the neonatal infant. In: REK B, editor. Nelson textbook of pediatrics. 14th. Philadelphia: Saunders; 1992. pp. 421–524. [Google Scholar]
- 27.Holman N, Bell R, Murphy H, Maresh M. Women with pre-gestational diabetes have a higher risk of stillbirth at all gestations after 32 weeks. Diabet Med. 2014;31:1129–1132. doi: 10.1111/dme.12502. [DOI] [PubMed] [Google Scholar]
- 28.Widness JA, Teramo KA, Clemons GK, et al. Direct relationship of antepartum glucose control and fetal erythropoietin in human type 1 (insulin-dependent) diabetic pregnancy. Diabetologia. 1990;33:378–383. doi: 10.1007/BF00404643. [DOI] [PubMed] [Google Scholar]
- 29.Aman J, Hansson U, Ostlund I, Wall K, Persson B. Increased fat mass and cardiac septal hypertrophy in newborn infants of mothers with well-controlled diabetes during pregnancy. Neonatology. 2011;100:147–154. doi: 10.1159/000323741. [DOI] [PubMed] [Google Scholar]
- 30.Abu-Sulaiman RM, Subaih B. Congenital heart disease in infants of diabetic mothers: echocardiographic study. Pediatr Cardiol. 2004;25:137–140. doi: 10.1007/s00246-003-0538-8. [DOI] [PubMed] [Google Scholar]
- 31.Cooper MJ, Enderlein MA, Tarnoff H, Roge CL. Asymmetric septal hypertrophy in infants of diabetic mothers. Fetal echocardiography and the impact of maternal diabetic control. Am J Dis Child. 1992;146:226–229. doi: 10.1001/archpedi.1992.02160140092027. [DOI] [PubMed] [Google Scholar]
- 32.Russell NE, Holloway P, Quinn S, Foley M, Kelehan P, McAuliffe FM. Cardiomyopathy and cardiomegaly in stillborn infants of diabetic mothers. Pediatr Dev Pathol. 2008;11:10–14. doi: 10.2350/07-05-0277.1. [DOI] [PubMed] [Google Scholar]
- 33.Russell NE, Foley M, Kinsley BT, Firth RG, Coffey M, McAuliffe FM (2008) Effect of pregestational diabetes mellitus on fetal cardiac function and structure. Am J Obstet Gynecol 199:312.e1–7 [DOI] [PubMed]
- 34.Russell NE, Higgins MF, Kinsley BF, Foley ME, McAuliffe FM. Heart rate variability in neonates of type 1 diabetic pregnancy. Early Hum Dev. 2016;92:51–55. doi: 10.1016/j.earlhumdev.2015.11.003. [DOI] [PubMed] [Google Scholar]
- 35.Russell NE, Higgins MF, Amaruso M, Foley M, McAuliffe FM. Troponin T and pro-B-type natriuretic peptide in fetuses of type 1 diabetic mothers. Diabetes Care. 2009;32:2050–2055. doi: 10.2337/dc09-0552. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Evers IM, Nikkels PG, Sikkema JM, Visser GH. Placental pathology in women with type 1 diabetes and in a control group with normal and large-for-gestational-age infants. Placenta. 2003;24:819–825. doi: 10.1016/S0143-4004(03)00128-0. [DOI] [PubMed] [Google Scholar]
- 37.Persson M, Johansson S, Cnattingius S. Inter-pregnancy weight change and risks of severe birth-asphyxia-related outcomes in singleton infants born at term: a nationwide Swedish cohort study. PLoS Med. 2016;13 doi: 10.1371/journal.pmed.1002033. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Hogan L, Ingemarsson I, Thorngren-Jerneck K, Herbst A. How often is a low 5-min Apgar score in term newborns due to asphyxia? Eur J Obstet Gynecol Reprod Biol. 2007;130:169–175. doi: 10.1016/j.ejogrb.2006.03.002. [DOI] [PubMed] [Google Scholar]
- 39.HAPO Study Cooperative Research Group Hyperglycaemia and adverse pregnancy outcome (HAPO) study: associations with maternal body mass index. BJOG. 2010;117:575–584. doi: 10.1111/j.1471-0528.2009.02486.x. [DOI] [PubMed] [Google Scholar]
- 40.Ramsay JE, Ferrell WR, Crawford L, Wallace AM, Greer IA, Sattar N. Maternal obesity is associated with dysregulation of metabolic, vascular, and inflammatory pathways. J Clin Endocrinol Metab. 2002;87:4231–4237. doi: 10.1210/jc.2002-020311. [DOI] [PubMed] [Google Scholar]
- 41.Jarvie E, Hauguel-de-Mouzon S, Nelson SM, Sattar N, Catalano PM, Freeman DJ. Lipotoxicity in obese pregnancy and its potential role in adverse pregnancy outcome and obesity in the offspring. Clin Sci (Lond) 2010;119:123–129. doi: 10.1042/CS20090640. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The authors confirm that, for approved reasons, some access restrictions apply to the data underlying the findings. This national cohort study was based on data from the Swedish MBR. According to Swedish law, the authors are not able to share the register data used in this study with other researchers.