Abstract
We studied the demographic and clinical characteristic, risk factors, outcomes of full-term small-for-gestational-age (SGA) infants born to mothers with gestational diabetes mellitus (GDM) in China. A retrospective case-control study that included 1981 SGA infants was conducted; the demographic and clinical data between SGA infants born to mothers with and without GDM were compared. Of 383 SGA infants born to mothers with GDM, 221 (57.7%) were female, and the incidence of these infants was 1 in 155 live births. The risk of SGA siblings (RR, 1.88; 95% CI, [1.23–2.86]), low 1- and 5-min Apgar scores (RR,2.04 and 4.21; 95%CI [1.05–4.00] and [1.05–16.89], respectively), early thrombocytopenia (RR, 3.39; 95%CI, [1.33–8.64]), hypoglycemia(RR, 2.49; 95%CI, [1.55–3.98]), and hypoxic-ischemic encephalopathy (RR,5.61; 95%CI, [1.25–25.18]) were increased in SGA infants born to mothers with GDM compared to SGA infants born to mothers without GDM. SGA girls born to mothers with GDM had a significantly higher ratio of catch-up growth (CUG) (RR, 1.73; 95%CI, [1.18–2.54]) in the first year of life. These results show that genetic factors may be one of the etiologies of SGA infants born to mothers with GDM; and these infants have more adverse perinatal outcomes compared to SGA infants born to mothers without GDM. SGA girls born to mothers with GDM had accelerated CUG in the first year of life.
Introduction
Gestational diabetes mellitus (GDM) is a major public health problem for women in China and worldwide (1). Fetuses receive increased amounts of glucose from mothers with GDM during pregnancy, which promotes insulin secretion and increases fetal growth. However, an epidemiological study found that 7% of infants whose mothers had GDM were small- for-gestational-age (SGA) in the United States (2). The term of SGA refers to infants with birth weights (BW) below the 10th percentile for gestational age (3). To date, there have been no studies in China on the incidence of SGA infants born to mothers with GDM. The causes of SGA include genetic and environmental factors, but the cause of SGA infants born to mothers with GDM is unknown.
GDM and SGA are associated with delayed development and poor growth of the fetuses. Epidemiological studies showed that infants born to mothers with GDM had a higher rate of adverse perinatal outcomes (e.g., asphyxia, hypoglycemia, and birth defects) than those in infants born to mothers without GDM; but the clinical characteristics of SGA infants born to mothers with GDM are poorly understood (4, 5). Therefore, there is a clear need for further investigation of the clinical characteristics of SGA infants born to mothers with GDM.
Multiple epidemiological studies have shown that SGA infants and infants born to mothers with GDM share common long-term complications (cardiovascular disease, type 2 diabetes) in adulthood and biological pathways leading to these long-term complications; studies also showed that faster post-natal growth in these infants appeared to be an important determinant of cardiovascular disease and type 2 diabetes (6–10). This pattern of growth, or “catch-up growth (CUG)”, was defined as the faster post-natal growth in response to recovery from undernutrition in-utero. Thus, we evaluated the outcomes of SGA infants born to mothers with GDM by measuring weight gain and the ratio of CUG in the first year of life.
In this study, we sought to investigate the demographic and clinical characteristics, risk factors, and outcomes of SGA infants born to mothers with GDM in China.
Methods
This study was a population-based, retrospective case-control study; written informed consent was provided by all parents. This study was approved by the research ethical committee of Guangzhou Women and Children's Medical Center, Dongguan Houjie hospital and Dongguan city maternal and child health hospital; all procedures performed in studies involving human participants were in accordance with the relevant guidelines and regulations.
Study Design and Participants
We performed a retrospective case-control study on demographic and clinical features of SGA infants born to mothers with GDM, and infants delivered in Guangzhou Women and Children's Medical Center, Dongguan Houjie hospital and Dongguan city maternal and child health hospital between January 1, 2008 and October 31, 2018. All mothers giving births to SGA infants who underwent regular obstetric examination in hospitals and had undergone a 75 g oral glucose tolerance test (OGTT) following the standard protocol at 24–28 weeks of gestation at the Department of Obstetrics were included. GDM was diagnosed when any one value reaches or exceeds 5.1 mmol/L at 0 h, 10.0 mmol/L at 1 h, or 8.5 mmol/L at 2 h (11).
All included mother/infant pairs met the following inclusion criteria: (1) Chinese nationality and gestational age ≥37 weeks (gestational age was assessed on the basis of the last menstruation and identified by early ultrasound pregnancy prior to 20 weeks' gestation); preterm were excluded from analysis because Chinese children growth trajectories are inapplicable to these infants; (2) No chromosomal aberrations and genetic syndromes in infants; (3) mothers between 20 and 40 years of age and having no disorders known to affect glucose metabolism including diabetes, polycystic ovarian syndrome and uncontrolled thyroid during pregnancy; and (4) mothers/infant pairs with complete maternal (delivery data, complication during pregnancy) and neonatal data (birth data, in-hospital outcomes). Mothers/infant pairs were excluded if they did not meet all of these inclusion criteria. Only one birth for mother was included in our study.
All infants included in our study were divided into two groups. Group 1 (case group) included SGA infants born to mothers with GDM. Group 2 (control group) included SGA infants born to mothers without GDM. We performed 1:4 (case group: control group) matching according to neonatal gestational age (difference was ≤ 3 days), gender, birth weight range (i.e., >2,500, 2,000–2,500, and <2,000g) and maternal age (difference was ≤ 3 years), place of residence. The definition of SGA was birth weights ≤ 10th percentile for the gestational age based upon defined standards for males and females according to Chinese Neonatal Network (12).
Data Collection and Definition
All mother/infant pairs underwent structured medical examinations and physical examinations. Data on mothers and neonates were obtained from medical records. The weight and length/height of mother/infant pairs was measured by trained nurses using standard anthropometric methods, pre-pregnancy weight obtained according to maternal self-report. Body mass index (BMI) was calculated by dividing weight in kilograms by the square of height in meters. Early thrombocytopenia was defined as a platelet count of <1,501 × 09/l in the first 72 h of life. Hypoglycemia was defined as blood glucose <35 mg/dl or plasma glucose <40 mg/dl. The diagnostic criteria for hypoxic-ischemic encephalopathy (HIE) were: (1) evidence of clinical encephalopathy in the first 12 h of life; (2) history of perinatal asphyxia; (3) Apgar score ≤ 5 at 5 min; and with at least one of the following: (a) continued need for positive pressure ventilation for 10 min or history of cardiopulmonary resuscitation at birth; and/or b) pH ≤ 7.00 in arterial cord blood or other sample or base deficit ≤ 12 mmol/l. HIE was classified according to modified Sarnat criteria. The grade for ICH was classified according to Papile criteria. Late-onset sepsis, occurring after 72 h from birth, was defined as positive blood culture. Necrotizing enterocolitis (NEC) was diagnosed according to Bell criteria. Neonatal respiratory distress syndrome (NRDS) was diagnosed by (1) evidence of respiratory failure, (2) administration of exogenous pulmonary surfactant (3) radiographic evidence. The criteria of maternal diseases listed in Table 1. All infants were invited for follow-up measurements of weight at 12 months of age, and CUG was defined as a gain in the SD score for weight from birth to 1 year of age that was >0.67 standard deviations (SD) scores (10). Age- and gender-adjusted SD scores for weight were calculated according to the growth reference standard for Chinese children under 7 years of age (12).
Table 1
| SGA mothers with GDM* (n = 383) | SGA mothers without GDM (n = 1,598) | RR (95% CI) | p Value | |
|---|---|---|---|---|
| Age, mean (SD), years | 31.2 (4.7) | 29.8 (4.3) | <0.01 | |
| Race, No. (%) | 1.16 [0.66–2.04] | 0.61 | ||
| Han nationality | 368 (96.1) | 1,526 (95.5) | ||
| other nationalities | 15 (3.9) | 72 (4.5) | ||
| Residence, No. (%) | 0.87 [0.61–1.24] | 0.44 | ||
| Rural | 41 (10.7) | 194 (12.1) | ||
| Urban | 342 (89.3) | 1,404 (87.9) | ||
| Height, mean (SD), cm, | 157.7 (4.7) | 158.2 (5.3) | 0.09 | |
| Gravidity, mean (SD) | 2.0 (1.3) | 1.6 (0.9) | <0.01 | |
| Parity (primiparous), No. (%) | 256 (66.8) | 1,056 (66.1) | 1.04 [0.82–1.31] | 0.78 |
| Pre-pregnancy weight, mean (SD), kg | 51.6 (7.8) | 51.1 (7.0) | 0.01 | |
| Pre-pregnancy BMI, mean (SD), kg/m2 | 20.8 (2.8) | 20.0 (2.9) | <0.01 | |
| Pre-partum weight, mean (SD), kg | 63.0 (8.3) | 62.5 (7.9) | 0.38 | |
| Pre-partum BMI,† mean (SD), kg/m2 | 25.1 (3.7) | 24.7 (4.1) | 0.11 | |
| Increased weight during pregnancy, mean (SD), kg | 11.8 (4.6) | 12.8 (3.9) | <0.01 | |
| Complications during pregnancy | ||||
| Anemia, No, (%) | 29 (7.6) | 155 (9.7) | 0.76 [0.51–1.15] | 0.20 |
| Abnormal placenta,‡ No, (%) | 7 (1.8) | 26 (1.6) | 1.13 [0.49–2.61] | 0.78 |
| Chorioamnionitis, No, (%) | 4 (1.0) | 24 (1.5) | 0.69 [0.24–2.01] | 0.50 |
| Drug or illicit use, No, (%) | 1 (0.3) | 3 (0.2) | 1.39 [0.14–13.42] | 0.77 |
| Tobacco use, No, (%) | 2 (0.5) | 13 (0.8) | 0.64 [0.14–2.85] | 0.56 |
| Hypothyroidism, No, (%) | 11 (2.9) | 56 (3.5) | 0.81 [0.42–1.57] | 0.54 |
| ICP, No, (%) | 2 (0.5) | 20 (1.3) | 0.41 [0.10–1.78] | 0.22 |
| Intrauterine distress, No, (%) | 9 (2.3) | 34 (2.1) | 1.11 [0.53–2.33] | 0.79 |
| Maternal heart diseases,§ No, (%) | 1 (0.3) | 5 (0.3) | 0.83 [0.10–7.16] | 0.89 |
| Oligohydramnios,|| No, (%) | 10 (2.6) | 129 (8.1) | 0.31 [0.16–0.59] | <0.01 |
| Pregnancy-induced hypertension, No, (%) | 22 (5.7) | 65 (4.1) | 1.44 [0.88–2.36] | 0.15 |
| Preeclampsia No, (%) | 20 (5.2) | 92 (5.8) | 0.90 [0.55–1.48] | 0.68 |
| Placenta previa, No, (%) | 7 (1.8) | 31 (1.9) | 0.94 [0.41–2.15] | 0.89 |
| Placental abruption, No, (%) | 4 (1.0) | 30 (1.9) | 0.55 [0.19–1.58] | 0.26 |
| Placental insufficiency,¶ No, (%) | 23 (6.0) | 152 (9.5) | 0.61 [0.39–0.96] | 0.03 |
| Renal diseases,# No, (%) | 1 (0.3) | 8 (0.5) | 0.52 [0.07–4.17] | 0.53 |
| Single umbilical artery, No, (%) | 2 (0.5) | 4 (0.3) | 2.01 [0.38–11.46] | 0.38 |
| Uterine malformation,** No, (%) | 2 (0.5) | 11 (0.7) | 0.76 [0.17–3.43] | 0.72 |
| Delivery | ||||
| Breech, No, (%) | 16 (4.2) | 52 (3.3) | 1.30 [0.73–2.30] | 0.37 |
| Vaginal, No, (%) | 307 (80.2) | 1,022 (64.0) | 2.28 [1.74–2.99] | <0.01 |
| Failed forceps, No, (%) | 10 (2.6) | 45 (2.8) | 0.93 [0.46–1.85] | 0.83 |
| Cesarean section, No, (%) | 50 (13.0) | 461 (28.8) | 0.37 [0.27–0.51] | <0.01 |
| Clinical Characteristics of SGA mothers with GDM | ||||
| Diet treatment for GDM, No, (%) | 380 (99.2) | NA | NA | |
| Drug treatment for GDM, No, (%) | 3 (0.8) | NA | NA | |
| Recurrent GDM, No, (%) | 18 (4.7) | NA | NA | |
Maternal characteristics of women with and without gestational diabetes mellitus (N = 1,981).
BMI, body mass index; NA, not applicable; ICP, intrahepatic cholestasis of pregnancy; GDM, gestational diabetes mellitus; RR, relative risk; SD, standard deviations; SGA, small for gestational age;.
, GDM diagnosed by IADPSG criteria published in 2010.
, BMI, weight (kg)/length (m)2.
, abnormal placenta contain velamentous placenta and battledore placenta.
, Maternal heart diseases contain congenital heart disease, cardiomyopathy, pericarditis and heart failure.
, Oligohydramnios can be defined as amniotic fluid volume <5% for gestational age, AFI <5 cm or maximal deepest pocket <2 cm.
, Placental insufficiency can be defined as 36-week cerebroplacental ratio <5th centile, umbilical artery blood gas analysis pH <7.15, or placental weight <10th centile.
, Renal diseases contain nephrotic syndrome, lupus nephritis, chronic nephritis and renal failure.
, Uterine malformation contain uterus hypoplasia, monocular uterus, double uterus, biangular uterus, mediastinal uterus and arch uterus.
Sample Size and Statistical Analysis
Sample size calculation was performed using PASS 15. With 90% power and the assumption of relative risk = 2.0, we calculated that 256 SGA infants born to mothers with GDM were needed; four comparison individuals per case, 1024 SGA infants born to mothers without GDM were needed. Statistical calculations were performed by using SPSS version 22. For the statistical analysis, t-tests were used for continuous variables that were described with the means ± standard deviations (x− ± s). χ2 tests were used for categorical variables that were described with frequencies and percentages. Multivariate binary Logistic regression was used to determine risk factors of SGA infants born to mothers with GDM. Pearson's correlation coefficients were conducted to determine the association between maternal factors (weight gain during pregnancy, BMI in the intrapartum period and BMI in the pre-pregnancy period) and birth weight. The significance level was set at p < 0.05.
Results
Population
Of 160,474 infants that were screened in our study from 2008 to 2018, 16,059 were SGA infants (10.0%, SGA was defined as birth weights ≤10th percentile for the gestational age based upon defined standards for males and females), 15,726 infants born to mothers with GDM(9.8%). Of 160,474 infants that were screened, 1,034 were SGA infants born to mothers with GDM (0.6%), which yielded an incidence for full-term SGA infants born to mothers with GDM of approximately 1 in 155 live births. Of 1,034 SGA infants born to mothers with GDM, 808 singleton births, 220 twins births, and six triplets.
The final sample consisted of 1,981 SGA infants: 383 full-term SGA infants born to mothers with GDM, 1,598 full-term SGA infants born to mothers without GDM (Figure 1). Groups did not differ significantly in sex, birth weight or most demographic characteristics (all P >0.05) (Tables 1, 2).
Figure 1
Flow diagram of study population.
Table 2
| SGA infants born to mothers with GDM (n = 383) | SGA infants born to mothers without GDM (n = 1,598) | RR (95%CI) | p Value | |
|---|---|---|---|---|
| Gestational age, mean (SD), weeks | 38.4 (1.0) | 38.5 (1.1) | 0.04 | |
| Sex (boys/girls) | 172:221 | 647:951 | 1.14 [0.92–−1.43] | 0.24 |
| Birth weight (BW), mean (SD), g | 2,418.2 (211.6) | 2,397.0 (206.1) | 0.08 | |
| >2,500 g, No, (%) | 71 (18.5) | 262 (16.4) | 1.16 [0.87–1.55] | 0.31 |
| 2,000–2,500 g, No, (%) | 299 (78.1) | 1,278 (80.0) | 0.89 [0.68–1.17] | 0.41 |
| <2,000 g, No, (%) | 13 (3.4) | 58 (3.6) | 0.93 [0.51–1.72] | 0.82 |
| Birth length, mean (SD), cm | 46.5 (1.8) | 46.3 (2.1) | 0.14 | |
| BMI,* kg/m2, mean (SD) | 11.0 (0.9) | 11.0 (1.4) | 0.47 | |
| Head circumference, mean (SD), cm | 31.9 (1.2) | 31.8 (1.2) | 0.95 | |
| Ponderal index† | 0.91 [0.70–1.17] | 0.46 | ||
| >2.2, No, (%) | 286 (74.7) | 1,222 (76.5) | ||
| <2.2, No, (%) | 97 (25.3) | 376 (23.5) | ||
| Siblings who were SGA, No, (%) | 43 (33.9) | 116 (21.4) | 1.88 [1.23–2.86] | <0.01 |
| Apgar score | ||||
| 1 min, Low (≤ 7), No, (%) | 13 (3.4) | 27 (1.7) | 2.04 [1.05–4.00] | 0.03 |
| 1 min, Low (≤ 3), No, (%) | 4 (1.0) | 3 (0.2) | 5.61 [1.25–25.18] | 0.01 |
| 5 min, Low (≤ 7), No, (%) | 4 (1.0) | 4 (0.3) | 4.21 [1.05–16.89] | 0.03 |
| 10 min, Low (≤ 7), No, (%) | 1 (0.3) | 2 (0.1) | 2.09 [0.19–23.10] | 0.54 |
| Perinatal complications | ||||
| Early thrombocytopenia, No, (%) | 8 (2.1) | 10 (0.6) | 3.39 [1.33–8.64] | <0.01 |
| Gastrointestinal hemorrhage, No, (%) | 9(2.3) | 19 (1.2) | 2.00 [0.90–4.46] | 0.08 |
| HIE,‡ No, (%) | 4 (1.0) | 3 (0.2) | 5.61 [1.25–25.18] | 0.01 |
| Hypoglycemia, No, (%) | 29 (7.6) | 51 (3.2) | 2.49 [1.55–3.98] | <0.01 |
| ICH | ||||
| ICH (I and II), No, (%) | 14 (3.7) | 36 (2.2) | 1.65 [0.88–3.01] | 0.12 |
| ICH (III and IV), No, (%) | 0 | 4 (0.3) | 1.00 [1.00–1.005] | 0.33 |
| Late-onset sepsis, No, (%) | 6 (1.6) | 17 (1.1) | 1.48 [0.58–3.78] | 0.41 |
| Neonatal hypoglycemia encephalopathy, No, (%) | 2 (0.5) | 2 (0.1) | 4.19 [0.59–29.83] | 0.12 |
| NEC, No, (%) | 3 (0.8) | 9 (0.6) | 1.39 [0.38–5.17] | 0.62 |
| NRDS, No, (%) | 2 (0.5) | 3 (0.2) | 2.79 [0.47–16.76] | 0.24 |
| Obstetric trauma, No, (%) | 8 (2.1) | 11 (0.7) | 3.08 [1.23–7.71] | 0.01 |
| Pulmonary hemorrhage, No, (%) | 3 (0.8) | 2 (0.1) | 6.38 [1.06–38.34] | 0.02 |
| Symptomatic polycythemia, No, (%) | 1 (0.3) | 10 (0.6) | 0.42 [0.05–3.26] | 0.39 |
| Birth defects | ||||
| Cleft palate, No, (%) | 0 | 4 (0.3) | 1.003 [1–1.005] | 0.33 |
| Hypospadias, No, (%) | 2 (0.5) | 10 (0.6) | 0.83 [0.18–3.82] | 0.81 |
| Polydactyly, No, % | 1 (0.3) | 10 (0.6) | 0.42 [0.05–3.26] | 0.39 |
| Ventricular septal defect, No, (%) | 3 (0.8) | 17 (1.1) | 0.73 [0.21–2.52] | 0.62 |
Clinical characteristics of small-for-gestational-age infants born to mothers with and without gestational diabetes mellitus (N = 1,981).
BMI, body mass index; CI, confidence interval; GDM, gestational diabetes mellitus; HIE, hypoxic-ischemic encephalopathy; ICH, Intracranial hemorrhage; NEC: Necrotizing enterocolitis; NRDS, neonatal respiratory distress syndrome; NA, not applicable; RR, relative risk; SD, standard deviations; SGA, small for gestational age.
, BMI, weight (kg)/length (m)2.
, Ponderal index, ([birth weight (g)]/ [crown heel length (cm)]3) ×100.
, SGA infants born to mothers with GDM: 1 mild HIE, 1 moderate HIE, 2 severe HIE; SGA infants born to mothers without GDM: 0 mild HIE, 1 moderate HIE, 2 severe HIE.
A total of 383 eligible SGA mothers with GDM at a mean age of 31.2 (SD 4.7) years were included, 380 (99.2%) women with GDM were given dietary therapy. Significant differences were found in pre-pregnancy weight (51.67 ± 0.8 vs. 51.17 ± 0.0 kg), pre-pregnancy BMI (20.82 ± 0.8 vs 0.202 ± 0.9), increased weight during pregnancy (11.84 ± 0.6 vs. 12.83 ± 0.9 kg), and the incidence of vaginal delivery (80.2 vs. 64.0%; relative risk [RR] 2.28; 95% confidence interval [CI] [1.74–2.99]), cesarean section (RR, 0.37; 95%CI, [0.27–0.51]) between SGA mothers with and without GDM groups. Additional population characteristics were available in Table 1.
The Comparison of Clinical Characteristics in SGA Infants Born to Mothers With GDM to These Mothers Without GDM
Table 2 showed the clinical characteristics of SGA infants born to mothers with and without GDM. 286 (74.7%) SGA infants born to mothers with GDM had a high ponderal index (PI > 2.2), and could be classified as symmetric SGA, but no significant difference for PI was found between the 2 groups.
The rate of SGA siblings in the SGA infants born to mothers with GDM was higher than that in the SGA infants born to mothers without GDM (33.9 vs.21.4%; RR 1.88; 95% CI [1.23–2.86]). The risk of low 1- and 5-min Apgar scores (RR,2.04 and 4.21; 95%CI, [1.05–4.00] and [1.05–16.89], respectively), early thrombocytopenia (RR, 3.39; 95%CI, [1.33–8.64]), HIE (RR,5.61; 95%CI, [1.25–25.18]), hypoglycemia (RR,2.49; 95%CI, [1.55–3.98]), obstetric trauma (RR,3.08; 95% CI, [1.23–7.71]), and pulmonary hemorrhage (RR,6.38; 95%CI, [1.06–38.34]) were increased in SGA infants born to mothers with GDM compared to SGA infants born to mothers without GDM.
Infant Outcomes
The outcomes of the infants were summarized in Table 3. Follow-up data were obtained for 334 SGA infants born to mothers with GDM and 1,364 SGA infants born to mothers without GDM in the first year of life. The rate of CUG (24.9 vs. 16.0%; RR, 1.73; 95%CI, 1.18–2.54) and weight at 1 year age (87,081 ± 02 vs. 84,961 ± 03 g, P < 0.01) were significantly higher in the group of SGA girls born to mothers with GDM than that in the group of SGA girls born to mothers without GDM. All SGA infants with severe perinatal complications were followed for 2 years. In the group of SGA infants born to mothers with GDM group, cerebral palsy occurred in two cases (0.6%), short bowel syndrome occurred in one case with NEC (0.3%), and there was one death (0.3%).
Table 3
| SGA infants born to mothers with GDM (N = 334) | SGA infants born to mothers without GDM (N = 1,364) | RR (95%CI) | p Value | |
|---|---|---|---|---|
| Maternal characteristic | ||||
| Race, No. (%) | 0.69 [0.37–1.29] | 0.24 | ||
| Han nationality | 322 (96.4) | 1,294 (94.9) | ||
| Other nationality | 12 (3.6) | 70 (5.1) | ||
| Residence, No. (%) | 1.11 [0.81–1.53] | 0.52 | ||
| Rural | 57 (17.1) | 213 (15.6) | ||
| Urban | 277 (82.9) | 1,151 (84.4) | ||
| Maternal age, mean (SD), g | 30.9 (4.6) | 29.9 (4.2) | <0.01 | |
| ≥30 years | 181 (54.2) | 668 (49.0) | 1.23 [0.97–1.57] | 0.09 |
| <30 years | 153 (45.8) | 696 (51.0) | ||
| Parity (primiparous), No. (%) | 251 (75.1) | 972 (71.3) | 1.22 [0.93–1.61] | 0.16 |
| Drug or illicit use, No, (%) | 0 | 3 (0.2) | 0.39 | |
| Tobacco use, No, (%) | 0 | 0 | NA | NA |
| High school graduate, No, (%) | 189 (56.6) | 839 (61.5) | 0.82 [0.64–1.04] | 0.10 |
| Neonatal characteristic | ||||
| Sex (boys/girls) | 138:196 | 590:774 | 0.92 [0.73–1.18] | 0.52 |
| Gestational age, mean (SD), weeks | 38.3 (1.0) | 38.2 (0.9) | 0.64 | |
| Birth weight (BW), mean (SD), g | 2,377 (185) | 2,355 (173) | 0.06 | |
| Mode of infant feeding within the first 6 months | ||||
| Exclusive breastfeeding, N, (%) | 154 (46.1) | 833 (61.1) | 0.55 [0.43-0.69] | <0.01 |
| Non- breastfeeding,*N, (%) | 180 (53.9) | 531 (38.9) | ||
| Weight (girls), mean (SD), g† | 8,708 (102) | 8,496 (103) | <0.01 | |
| Weight (boys), mean (SD), g | 8,825 (114) | 8,832 (136) | 0.87 | |
| Catch-up growth‡, N, (%) | 75 (22.5) | 228 (16.7) | 1.44 [1.08–1.94] | 0.01 |
| Catch-up growth (girls), N, (%) | 46 (24.9) | 135 (16.0) | 1.73 [1.18–2.54] | <0.01 |
| Catch-up growth (boys), N, (%) | 29 (19.5) | 93 (17.8) | 1.12 [0.70–1.77] | 0.65 |
| Outcomes in the 2 years | ||||
| Cerebral palsy, No, % | 2 (0.6) | 6 (0.4) | 1.36 [0.27–6.79] | 0.70 |
| Short bowel syndrome, No, % | 1 (0.3) | 2 (0.1) | 2.05 [0.19–22.63] | 0.55 |
| Mortality, No, % | 1 (0.3) | 3 (0.2) | 1.36 [0.14–13.14] | 0.79 |
The follow-up outcomes of SGA infants born to mothers with and without GDM (N = 1,698).
CI, confidence interval; GDM, gestational diabetes mellitus; NA, not applicable; RR, relative risk; SD, standard deviations; SGA, small for gestational age.
, Includes mixed breast and formula, exclusive formula feeding.
, a gain in SD score for weight from birth to 1 years of age that was greater than 0.67 SD scores was taken to indicate clinically significant catch-up growth.
Risk Factors
Pearson's correlation coefficients were conducted to determine the association between maternal factors, results are shown in Table 4. The results illustrated that prepregnancy BMI and prepartum period BMI were correlated with birth weight (r, −0.06 and −0.08; 95%CI, −0.12- −0.01 and −0.16 −0.01; respectively).
Table 4
| Pearson correlation coefficient (r) | 95% CI | P-value | |
|---|---|---|---|
| Prepartum period BMI | −0.08 | −0.16–0.01 | 0.03 |
| Prepregnancy BMI | −0.06 | −0.12– −0.01 | 0.02 |
| Weight gain during pregnancy | 0.04 | −0.04–0.12 | 0.28 |
Relationships between birth weight and Weight gain during pregnancy, Prepartum period BMI, Prepregnancy BMI in the study subjects (N = 1,981).
BMI, body mass index; CI, confidence interval.
Multivariate binary logistic regression was used to determine the associations between maternal complications and GDM; all results were listed in Table 5. The risks of oligohydramnios (OR, 3.19; 95%CI, [1.66–6.15])were higher in the mothers without GDM compared to mothers with GDM (P < 0.05).
Table 5
| OR* | 95%CI | P value† | |
|---|---|---|---|
| Abnormal placenta | 0.92 | 0.39–2.16 | 0.85 |
| Anemia | 1.27 | 0.84–1.92 | 0.27 |
| Chorioamnionitis | 1.58 | 0.54–4.60 | 0.40 |
| Drug or illicit use | 0.97 | 0.09–9.96 | 0.98 |
| Hypothyroidism | 1.28 | 0.66–2.48 | 0.46 |
| ICP | 2.51 | 0.58–10.82 | 0.22 |
| Maternal heart diseases | 1.25 | 0.14–10.86 | 0.84 |
| Multiple births | 0.79 | 0.45–1.37 | 0.39 |
| Oligohydramnios | 3.19 | 1.66–6.15 | <0.01 |
| pregnancy-induced hypertension | 0.75 | 0.45–1.23 | 0.26 |
| Preeclampsia | 1.03 | 0.70–1.51 | 0.89 |
| Placenta previa | 1.12 | 0.49–2.56 | 0.80 |
| Placental abruption | 2.03 | 0.71–5.83 | 0.19 |
| Placental insufficiency | 1.59 | 0.99–2.48 | 0.055 |
| Renal diseases | 1.03 | 0.21–4.99 | 0.98 |
| Single umbilical artery | 0.58 | 0.10–3.18 | 0.53 |
| Tobacco use | 1.56 | 0.35–7.05 | 0.56 |
| Uterine malformation | 1.26 | 0.27–5.78 | 0.77 |
Binary logistic analysis for the associations between maternal complications and gestational diabetes mellitus among SGA infants (N = 1,981).
CI, confidence interval; GDM, gestational diabetes mellitus; ICP, intrahepatic cholestasis of pregnancy; OR, odds risk; SE, standard error; SGA, small for gestational age.
, Adjusted for maternal age, socioeconomic status, race/ethnicity, singleton or not and Parity.
, P value from multivariate binary logistic regression analysis.
Discussion
We collected population-based, case-control, including risk factors, demographic and clinical characteristics, and outcomes, for full-term SGA infants born to mothers with GDM in China. To our knowledge, this is the first study to report that SGA infants born to mothers with GDM had more adverse perinatal outcomes than SGA infants born to mothers without GDM, the girls of these infants had accelerated CUG in the first year of life.
It has long been understood that the pathogenesis of SGA infants includes both genetic and environmental components (13). The recurrence risk among siblings is defined as the rate of disease frequency among siblings and is widely used to measure the shared genetic contributions (14–16). The rate of siblings who were SGA among SGA infants born to mothers with GDM was 2-fold higher than that among SGA infants born to mothers without GDM in our study, suggesting that genetic factors may be the primary etiology of SGA infants born to mothers with GDM.
All environmental components are listed in Table 1; multiple birth, placental insufficiency, poor nutrition and hypertensive disorders were found to be common environmental causes for SGA infants; but these risk factors for SGA infants born to mothers with GDM should be derived from multivariable logistic regression analysis by comparing with appropriate-for-gestational-age (AGA) infants born to mothers with GDM (8). However, some interesting phenomena can be found in our study. First, weight gain during gestation was significantly lower in SGA mothers with GDM compared to SGA mothers without GDM, so weight gain during gestation may be a causative factor for these infants. Previous studies also suggested that excessive glucose control among women with GDM may decrease fetal growth (17–21). Therefore, clinicians should pay more attention to women with GDM who have inappropriate weight gain during pregnancy. Second, the rate of placental insufficiency among SGA mothers with GDM was significantly lower than that among SGA mothers without GDM (6.0 vs. 9.5%) in our study; this result suggested that placental insufficiency was not the most common cause of these infants. Third, Pearson's correlation analysis showed that prepregnancy BMI and prepartum period BMI were correlated with the birth weight of SGA infants; previous studies also demonstrated that prepregnancy BMI could be used as a predictor of SGA (17–19).
Our study presented novel information about perinatal complications of SGA infants born to mothers with GDM, which had not been reported. In our study, the risks of low 1- and 5-min Apgar scores (≤3) (3.4 and 1.0%), obstetric trauma (2.1%), hypoglycemia (7.6%), HIE (1.0%), pulmonary hemorrhage (1.0%), and early thrombocytopenia (2.1%) were higher in SGA infants born to mothers with GDM than in SGA infants born to mothers without GDM. A possible association between GDM and birth defects has been reported in some studies (22–24), but this association was not found in our study.
Ninety percent of SGA children will experience CUG in the first 2 years of life, and these infants are likely to have excess central fat and abnormal adipocyte function as well as endocrine system disturbances (25). Recent studies showed that SGA infants and infants born to mothers with GDM who had accelerated CUG in the first 12 months of life had a higher risk of cardiovascular disease and type 2 diabetes in adulthood (26–29). SGA girls born to mothers with GDM had more rapid CUG (24.9 vs.16.0%) in the first year of life than SGA infants born to mothers without GDM in our study, but further large-scale long-term follow-up studies are needed to determine the CVD and type 2 diabetes morbidity in later life. Some studies also showed that SGA infants with CUG and infants born to mothers with GDM had higher risks of poor neurological and cognitive outcomes at school age (30, 31). Therefore, it is important to monitor childhood weight, height and head circumference regularly for SGA infants born to mothers with GDM because these measurements might reveal the need for intervention strategies to reduce their later CVD risk and alleviate their poor neurodevelopmental outcomes.
One of the important strengths of our work is its large sample size of SGA infants born to mothers without GDM. Additionally, this study is an observational case-control study. To the best of our knowledge, this is the first study to report the risk factors, demographic and clinical characteristics and outcomes of full-term SGA infants born to mothers with GDM via a population-based case-control study. Our findings are also helpful for clinicians to design more accurate postnatal care programs and follow-up programs for SGA infants born to mothers with GDM.
This study has several limitations. First, the number of GDM mothers who were given drug therapy may be small, the blood glucose of 99.2% GDM women could be controlled through dietary therapy; while in the literature it ranged from 3 to 15%; but these studies showed that there were no significant difference in maternal and neonatal outcomes between diet therapy group and insulin therapy group (32, 33). Second, the duration of follow-up was too short, and too few tools were available to assess the trajectory of the CUG of SGA infants in our study; previous studies suggested that accelerated growth in the first 12 months of life may confer an increased risk of CVD and type 2 diabetes up to the age of 18 years (34, 35). Therefore, long-term, large-scale studies are needed to determine the incidence of CVD and diabetes in SGA infants born to mothers with GDM.
Conclusions
In conclusion, the incidence of full-term SGA infants born to mothers with GDM was 1 in 155 live births in China. Genetic factors may be an etiology of SGA infants born to mothers with GDM, and other risk factors for these infants should be derived from multivariable logistic regression analysis via comparisons with AGA infants born to mothers with GDM. Compared with SGA infants born to mothers without GDM, SGA infants born to mothers with GDM have a higher risk of perinatal complications (including low 1-min Apgar score, hypoglycemia, hypoxic-ischemic encephalopathy, pulmonary and gastrointestinal hemorrhage, early thrombocytopenia); the girls of these infants had accelerated CUG in the first year of life.
Funding
This article was supported by Science and Technology Planning Project of Guangdong Province (2016A020215177), China.
Publisher's Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Statements
Data availability statement
The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.
Author contributions
JC, HX, YY, and WZ designed the study, designed the data collection instruments, collected data, carried out the initial analyses, drafted the initial manuscript, and created the tables and figures. YT, XY, and ZZ conceptualized and designed the study, coordinated and supervised data collection, and helped draft the initial manuscript. WL, JY, and LH designed the data collection instruments, collected data, and conducted the initial analyses. XL conceptualized and designed the work, helped draft the initial manuscript, and provided feedback about the study design. All authors contributed to the manuscript's critical revision and read and approved the submitted version.
Acknowledgments
The authors thank Yifeng Wang (Guangdong provincial people's hospital), Qian Gong and Xian Liu (the department of child hygiene, Guangzhou Women and Children's Medical Center) for helping with long-term follow-up of infants.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
- AGA
appropriate-for-gestational-age
- BMI
body mass index
- BW
birth weights
- CI
confidence interval
- CUG
catch-up growth
- GDM
gestational diabetes mellitus
- HIE
hypoxic-ischemic encephalopathy
- ICH
Intracranial hemorrhage
- NEC
Necrotizing enterocolitis
- NRDS
neonatal respiratory distress syndrome
- PI
ponderal index
- RR
relative risk
- SD
standard deviations
- SGA
small for gestational age.
Abbreviations
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Summary
Keywords
small-for-gestational-age, infants, gestational diabetes mellitus, clinical characteristic, risk factors, catch-up growth
Citation
Chen J, Xiao H, Yang Y, Tang Y, Yang X, Zhang Z, Lu W, Yao J, Huang L, Liu X and Zhou W (2021) Demographic and Clinical Features of Small-for-Gestational-Age Infants Born to Mothers With Gestational Diabetes Mellitus. Front. Pediatr. 9:741793. doi: 10.3389/fped.2021.741793
Received
15 July 2021
Accepted
07 September 2021
Published
01 October 2021
Volume
9 - 2021
Edited by
Lynette Kay Rogers, The Research Institute at Nationwide Children's Hospital, United States
Reviewed by
Tuuli Metsvaht, University of Tartu, Estonia; Madison Claire Badawy Paton, Cerebral Palsy Alliance, Australia
Updates
Copyright
© 2021 Chen, Xiao, Yang, Tang, Yang, Zhang, Lu, Yao, Huang, Liu and Zhou.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Wei Zhou zhouwei_pu002@126.com
†These authors have contributed equally to this work and share first authorship
This article was submitted to Neonatology, a section of the journal Frontiers in Pediatrics
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.