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Medical Science Monitor: International Medical Journal of Experimental and Clinical Research logoLink to Medical Science Monitor: International Medical Journal of Experimental and Clinical Research
. 2024 May 26;30:e943644-1–e943644-11. doi: 10.12659/MSM.943644

The Influence of Gestational Diabetes Mellitus on Maternal and Neonatal Outcomes: A Retrospective Study in Rzeszów, Poland

Katarzyna Kalandyk-Osinko 1,2,A,B,D,E,F, Joanna Baran 3,C,D,E,F, Rafał Baran 3,C,D,E,F, Kamil Gierek 2,B,D,F, Anna Juza 2,B,D,E, Elżbieta Kraśnianin 3,B,D,F, Sławomir Januszek 2,B,D,F, Beata Blajer-Olszewska 2,B,C,E, Tomasz Kluz 1,2,A,D,F,, Dorota Darmochwał-Kolarz 1,4,A,D,E
PMCID: PMC11138360  PMID: 38796697

Abstract

Background

Gestational diabetes mellitus (GDM) affects 5.8–12.9% of pregnant women, while pre-gestational diabetes mellitus (PGDM) affects 0.4–1.1%. GDM increases the risk of perinatal complications and long-term health issues. This retrospective study from a single centre in Rzeszów, Poland aimed to evaluate maternal and neonatal outcomes of pregnancy of 65 women with gestational diabetes mellitus.

Material/Methods

The study group consisted 65 women with GDM. The control group consisted 60 women without. GDM were diagnosed with carbohydrate metabolism disorders during pregnancy based on the results of the oral glucose tolerance test (OGTT). Methods of evaluation of the mothers: age, body mass before pregnancy, body height, body mass index (BMI), gravidity, parity, the number of miscarriages, length of stay (LOS) of mother, gestational weight gain (GWG), duration of pregnancy, type of delivery, treatment of diabetes. Methods of evaluation of the child: LOS, birth weight, Apgar points.

Results

Women with diabetes stayed in hospital longer than women without, similarly applies the length of stay (LOS) of the child (p<0.001). It turned out that the women with GDM were significantly more likely to deliver by caesarean section (CS) (p=0.024) and these women most often had gestational weight gain (GWG) within the recommended range (p<0.001). Body mass index (BMI) before pregnancy was significantly higher in the women with GDM (p=0.023).

Conclusion

The above study confirms that the occurrence of GDM has an undoubted impact on prolonged LOS of the mother and child, more frequent CS delivery and normal GWG.

Keywords: Infant Health, Gestational Diabetes Insipidus, Fetal Macrosomia, Muscle Hypotonia

Introduction

Diabetes is defined as a group of chronic metabolic disorders leading to hyperglycemia and characterized by relative or absolute insulin deficiency [13]. Gestational diabetes mellitus (GDM) is one of several types of diabetes and is defined as any condition of abnormal carbohydrate metabolism first diagnosed during pregnancy [13]. GDM is diagnosed in 5.8–12.9% of pregnant women. Pre-gestational diabetes mellitus (PGDM) occurs in 0.4–1.1% of pregnant women [13]. In Poland, the incidence of GDM is 6.2%, while for PGDM it is 1% [4].

According to the current recommendations of the Polish Diabetes Association (PDA), diagnosis of gestational diabetes is carried out at 24–28 weeks of pregnancy [5]. The recommendations of the PDA also indicate groups of women in whom diagnosis for diabetes should be performed by the time of diagnosis of pregnancy [6].

Hyperglycemia during pregnancy has a negative effect on both the developing fetus and the pregnant woman [7]. The state of chronic hyperglycemia to which the fetus is exposed in utero leads to a number of metabolic disorders, the consequence of which may be macrosomia and related perinatal complications [7], intrauterine deaths, respiratory disorders, polycythemia, hypoglycemia, hypomagnesemia, and postnatal hypocalcemia of the newborn [8]. There is increasing discussion of long-term consequences occurring in children of diabetic mothers in the form of obesity, overweight, more frequent occurrence of glucose metabolism disorders, and psychomotor and intellectual disorders [9]. Pregnant women with GDM are more likely to develop gestational hypertension or pre-eclampsia than the general population, and this group is also at high risk of developing type 2 diabetes later in life [10]. Hyperglycemia is a major risk factor for neoplastic transformation because it affects various mechanisms, causing deoxyribonucleic acid (DNA) damage [11]. Cellular alterations of hyperglycemia lead to adaptations that can result in conditions that favor neoplastic transformation [11].

Based on a review of the available literature, it was found that pancreatic cancer was more common in women who had gestational diabetes during pregnancy [12]. The pathomechanism of the development of diabetes in pregnancy is complex and not fully understood [13]. The main background of the disorder concerns an increase of insulin resistance as pregnancy progresses and an associated increase in the secretion of placental hormones and cortisol [13]. The adverse effects of hyperglycemia on the developing fetus vary depending on the week of pregnancy [13]. In the early period it can cause miscarriages and birth defects, while excessive glucose levels in the second and third trimesters cause hypertrophy and hyperstimulation of fetal pancreatic beta cells, which leads to increased insulin production, and consequently to excessive fetal growth, respiratory immaturity, and a range of metabolic disorders [14]. Even mild hyperglycemia has a negative impact on fetal development, and its severity in the final weeks of pregnancy may be a cause of intrauterine deaths [15].

Postprandial hyperglycemia consists of subtle impairment of insulin secretion, abnormal pulsatile insulin profiles, increased release of immature insulin, and, consequently, impaired secretion in the first phase [16,17], which contribute to the development of the initial postprandial hyperglycemia observed in the early stages and milder forms of GDM [16,17]. These mechanisms explain why fasting hyperglycemia is more dangerous for the developing fetus [16,17].

Therefore, this retrospective study from a single center in Rzeszów, Poland aimed to evaluate maternal and neonatal outcomes of pregnancy of 65 women with gestational diabetes mellitus (GDM).

Material and Methods

Ethics Approval

This study was approved by the Bioethics Committee of the District Medical Chamber (number 70/2021/B, date of approval: July 1, 2021).

Informed Consent

All patients in the test group were informed about the purpose of the study and its course, and eligibility for the study was possible only after they provided informed written consent.

Study Design and Participants

This multi-stage research project started with determination of the minimum sample size. The study included patients of the Fryderyk Chopin University Clinical Hospital in Rzeszów. An average of 1500 babies are delivered in this facility each year. Assuming a significance level P<0.05, a maximum error of 10%, and a prevalence of GDM in Poland of 6.2%, the minimum sample size of 23 women as calculated. Total number of subjects enrolled amounted to 125 women, including 65 with GDM (the study group) and 60 without GDM (the control group).

The next stage consisted in gathering a test group that met the criteria for inclusion and was diagnosed by the oral glucose tolerance test (OGTT) with disorders of carbohydrate metabolism in pregnancy (diabetes of pregnant women, diabetes in pregnancy). Next, the course of pregnancy was assessed: the method of normalization of glucose level (diet/insulin), manifestation of comorbidities during pregnancy, duration of pregnancy, and method of delivery.

The endpoint was comparison of the data obtained to assessment of the newborn for the presence or absence of macrosomia and comorbidities.

Participant Inclusion and Exclusion Criteria

Inclusion criteria:

  • – age 20–45 years,

  • – diagnosis in the OGTT test of carbohydrate disorders in pregnancy (diabetes in pregnancy, gestational diabetes).

Exclusion criteria:

  • – lack of consent to participate in the study,

  • – systemic diseases that can affect test results (eg, kidney failure, blood diseases, epilepsy). Both the disease itself and the treatment applied in each therapy can affect the course of pregnancy, fetal growth, and the perinatal period.

No complications were found in the newborns, probably because all deliveries took place in a tertiary referral hospital (the highest level of reference in Poland).

Women were provided with perinatal care from the beginning of pregnancy, while pregnant women with GDM reported for delivery, in accordance with the recommendations of the Polish Society of Gynecologists and Obstetricians, 7 days before the date of delivery. This practice reduces the risk of complications in newborns.

Assessment

Glycemia data were based on data from a screening test conducted between 24 and 28 weeks of pregnancy. Other data on the course of pregnancy – age, body mass before pregnancy, body height, body mass index (BMI), gravidity, parity, the number of miscarriages – were obtained from the patient’s medical documentation and pregnancy card. Data on the method of delivery, length of stay (LOS) of mother and child, birth weight of child, assessment of newborn in pregnant women, both with GDM and healthy, were obtained from data in the Asseco Medical Management Solutions – AMMS computer program (Asseco Poland S.A., Poland).

Based on the pre-pregnancy and birth weight data, the gestational weight gain (GWG) was calculated. Small-for-gestational-age (SGA) infants are defined as less than the 10th birth weight percentile, appropriate-for-gestational-age (AGA) infants are defined as between the 10th and 90th birth weight percentile, and large-for-gestational-age (LGA) infants are defined as greater than the 90th percentile for gestational age, sex, and race [18].

Statistical Analysis

Statistical analysis of the collected material was performed in the Statistica 13.3 package (TIBCO Software, USA). The database and the graphical presentation of the results were prepared in Microsoft Excel and the description was prepared using Microsoft Word. The analysis used Pearson the chi-square test for nominal independent sample variables. Descriptive statistics were calculated: number, mean, median, minimum and maximum values, upper and lower quartile, and standard deviation. To assess the differences in the average level of a numerical feature due to the failure to meet the assumptions of the parametric test (lack of compliance of the distribution of the variable with the normal distribution verified by the Shapiro-Wilk W test), a non-parametric Mann-Whitney U test for 2 populations was used. The level of statistical significance was P<0.05.

Results

Characteristics of the Observation Group

Almost half (45.6%) of the women had normal body mass before pregnancy. In this regard, it was verified whether the GWG was in line with the recommendations of 11.5–16 kg, 7–11.5 kg, and 5–9 kg for women entering pregnancy with healthy body mass index (18.5–24.9 kg/m2) – “normal BMI” in the World Health Organization (WHO) classification; overweight (25–29.9 kg/m2) and obese (≥30 kg/m2) respectively [19,20]. Only 36% of the women met these standards and 20% gained weight above the recommendations during pregnancy.

Almost 15% of the women had experienced miscarriage in their lifetime (from 1 to 3) and more than half (60.8%) of births were through cesarean section.

Considering the weight of the newborn [21], there were no small-for-gestational age (SGA) children born in the test group. Most (74.4%) babies were appropriate for gestational age (AGA), but almost one-quarter (22.4%) were large for gestational age (LGA) (Table 1).

Table 1.

Observation group – characteristics.

N %
GDM
 Yes 65 52.00
 No 60 48.00
Diabetes treatment
 Diet 24 36.92
 Insulin 41 63.08
Pre-pregnancy weight category
 Underweight 3 2.40
 Normal 57 45.60
 Overweight 35 28.00
 Obesity 24 19.20
 Lack of data 6 4.80
Compliance with GWG recommendations
 Yes 45 36.00
 Below 47 37.60
 Above 25 20.00
The number of miscarriages
 None 105 84.00
 One 12 9.60
 Two 5 4.00
 Three 1 0.80
 No data 2 1.60
Newborn type
 AGA 93 74.40
 LGA 28 22.40
 No data 4 3.20
Type of delivery
 Cesarean section 76 60.80
 Vaginal birth 47 37.60
 No data 2 1.60
Gender of the newborn
 Female 59 47.20
 Male 66 52.80

N – number of observations;% – percent of observations; SGA - small for gestational age; AGA – appropriate for gestational age; LGA – large for gestational age; GWG – gestational weight gain; GDM – gestational diabetes mellitus.

The median age of the women in the study and control groups was 31.0 years. The body weights of mothers before delivery were similar between the 2 groups (Me=78.0 kg and 79.5 kg, respectively). The median LOS of diabetic mothers was 1 day longer. See Table 2 for details. In the case of a normal distribution, data are presented as the mean value and standard deviation (SD). In the case of nonnormal distribution, the data are presented in the form of the median and the values of the quartiles).

Table 2.

Descriptive statistics for the study and control group.

Variables Study group Control group
N χ̄;±SDa
Me (Q1–Q3)b
N χ̄±SDa
Me (Q1–Q3)b
Age [years] 65 31.0 (29.9–36.0)b 60 31.0 (27.0–33.0)b
Pre-pregnancy body mass [kg] 60 73.6±18.62a 60 68.0 (60.5–72.5)b
Body mass to delivery [kg] 61 78.0 (68.0–95.0)b 60 79.5 (73.2–85.0)b
Body height [cm] 61 165.0 (160.0–169.0)b 60 166.1±5.6a
Pre-pregnancy BMI 59 27.25 (22.8–32.2)b 60 24.8±3.2a
GWG 58 6.6±6.0a 60 11.0 (10.0–13.0)b
Gravidity 63 2.0 (1.0–3.0)b 60 2.0 (1.0–2.0)b
Parity 63 1.0 (1.0–2.0)b 60 2.0 (1.0–2.0)b
The duration of pregnancy 61 38.0 (37.0–39.0)b 60 38.5 (38.0–39.0)b
Apgar in 1st minute 58 10.0 (9.0–10.0)b 60 10.0 (9.0–10.0)b
Apgar in 3rd minute 57 10.0 (10.0–10.0)b 60 10.0 (10.0–10.0)b
Apgar in 5th minute 57 10.0 (10.0–10.0)b 60 10.0 (10.0–10.0)b
Birth body mass 63 3195.0 (2830.0–3560.0)b 60 3234.9±442.7a
Mother’s LOS 65 4.0 (3.0–7.0)b 60 3.0 (2.0–4.0)b
Child’s LOS 65 3.0 (3.0–5.0)b 60 3.0 (2.0–3.0)b

N – number of observations; χ̄ – mean; Me – median; Min. – minimum value; Max. – maximum value; Q1 – lower quartile; Q3 – upper quartile, SD – standard deviation, GWG – gestational weight gain, BMI – body mass index; LOS - Length of stay.

a

χ±SD;

b

Me(Q1–Q3).

Mother’s and Child’s Length of Stay

Statistical analysis showed that LOS of the mother significantly varied depending on the occurrence of GDM (P<0.001). Women with diabetes stayed in hospital longer than women without diabetes (median 4.0 vs 3.0). A similar situation occurred with the LOS of the child (P<0.001). However, GDM was not associated with the duration of pregnancy (P>0.05). The duration of pregnancy in the women with diabetes treated with diet was 1 week longer than in women treated with insulin (P=0.022) (Table 3).

Table 3.

LOS of mother and child and duration of pregnancy depending on GDM.

GDM Mother’s LOS
N χ̄ Me Min. Max. Q1 Q3 SD U P
Yes 65 7.5 4.0 2.0 69.0 3.0 7.0 10.90 1209.50 <0.001
No 60 3.1 3.0 2.0 12.0 2.0 4.0 1.67
GDM Child’s LOS
N χ̄ Me Min. Max. Q1 Q3 SD U P
Yes 65 6.4 3.0 2.0 69.0 3.0 5.0 9.77 1134.50 <0.001
No 60 2.6 3.0 2.0 5.0 2.0 3.0 0.65
GDM The duration of pregnancy
N χ̄ Me Min. Max. Q1 Q3 SD U P
Yes 61 37.7 38.0 26.0 41.0 37.0 39.0 2.47 1632.50 0.307
No 60 38.3 38.5 32.0 40.0 38.0 39.0 1.49
Treatment Mother’s LOS
N χ̄ Me Min. Max. Q1 Q3 SD U P
Diet 24 4.6 3.0 2.0 20.0 3.0 5.0 3.83 420.50 0.335
Insulin 41 9.2 4.0 2.0 69.0 3.0 10.0 13.18
Treatment Child’s LOS
N χ̄ Me Min. Max. Q1 Q3 SD U P
Diet 24 4.2 3.0 2.0 20.0 3.0 4.0 3.84 429.00 0.396
Insulin 41 7.7 3.0 2.0 69.0 3.0 7.0 11.80
Treatment The duration of pregnancy
N χ̄ Me Min. Max. Q1 Q3 SD U P
Diet 21 38.5 39.0 31.0 41.0 38.0 40.0 2.04 268.00 0.022
Insulin 40 37.3 38.0 26.0 40.0 37.0 39.0 2.60

N – number of observations; χ̄ – mean; Me – Median; Min. – minimum value; Max. – maximum value; Q1 – lower quartile; Q3 – upper quartile; SD – standard deviation; U – value of the Mann-Whitney U test; P – test probability value; GDM – gestational diabetes mellitus, LOS – length of stay.

We assessed whether the presence of GDM in the mother affected the method of delivery, her compliance with recommendations regarding GWG, and size of the newborn in relation to gestational age. Women with GDM were significantly more likely to deliver by CS (P=0.024) and these women more often had GWG within the recommended range (P<0.001). However, there was no increased incidence of LGA in mothers with GDM (P>0.05).

Mother’s and Child’s Outcomes in Relation to Incidence of GDM and Type of Treatment

There were also no differences in the analyzed parameters depending on the treatment applied (Table 4).

Table 4.

The relationship between the method of delivery, GWG in accordance with the recommendations, type of newborn, and GDM.

Type of delivery GDM
Yes No
CS N=45 (36.6%) N=31 (25.2%)
VB N=18 (14.6%) N=29 (23.6%)
All N=63 (51.2%) N=60 (48.8%)
χ 2 =5.083; P =0.024
GWG (recommendation) GDM
Yes No
Yes N=13 (11.1%) N=32 (27.4%)
Below N=34 (29.1%) N=13 (11.1%)
Above N=10 (8.5%) N=15 (12.8%)
All N=57 (48.7%) N=60 (51.3%)
χ 2 =18.340; P <0.001
Type of newborn GDM
Yes No
AGA N=46 (30.8%) N=47 (38.8%)
LGA N=15 (12.4%) N=13 (10.7%)
All N=61 (50.4%) N=60 (49.6%)
χ 2 =0.145; P =0.703
Type of delivery Treatment
Diet Insulin
CS N=13 (20.6%) N=32 (50.8%)
VB N=9 (14.3%) N=9 (14.3%)
All N=22 (34.9%) N=41 (65.1%)
χ 2 =2.521; P =0.112
GWG (recommendation) Treatment
Diet Insulin
Yes N=5 (8.8%) N=8 (14.0%)
Below N=11 (19.3%) N=23 (40.4%)
Above N=5 (8.8%) N=5 (8.8%)
All N=21 (36.8%) N=36 (63.2%)
χ 2 =1.053; P =0.591
Type of newborn Treatment
Diet Insulin
AGA N=17 (27.9%) N=29 (47.5%)
LGA N=4 (6.6%) N=11 (18.0%)
All N=21 (34.4%) N=40 (65.6%)
χ 2 =0.531; P =0.466

χ2 – Chi-square test value; p – test probability value; GDM – gestational diabetes mellitus; GWG – gestational weight gain; CS – Cesarean section; VB – vaginal birth; AGA – appropriate-for-gestational age, LGA – large-for-gestational age.

There were no statistically significant differences in Apgar scores assessed at 1, 3, and 5 min in children of mothers with and without GDM. In all cases, the test probability was greater than 0.05. There were also no differences in the analyzed parameters depending on the treatment applied (Table 5).

Table 5.

Effect of GDM on Apgar scores at 1, 3, and 5 minutes.

GDM Apgar in 1st minute
N χ̄ Me Min. Max. Q1 Q3 SD U P
Yes 58 9.3 10.0 5.0 10.0 9.0 10.0 1.26 1696.00 0.815
No 60 9.5 10.0 8.0 10.0 9.0 10.0 0.65
GDM Apgar in 3 rd minute
N χ̄ Me Min. Max. Q1 Q3 SD U P
Yes 57 9.6 10.0 6.0 10.0 10.0 10.0 1.09 1651.00 0.750
No 60 9.8 10.0 8.0 10.0 10.0 10.0 0.51
GDM Apgar in 5 th minute
N χ̄ Me Min. Max. Q1 Q3 SD U P
Yes 57 9.8 10.0 7.0 10.0 10.0 10.0 0.79 1605.50 0.571
No 60 9.9 10.0 8.0 10.0 10.0 10.0 0.33
Treatment Apgar in 1 st minute
N χ̄ Me Min. Max. Q1 Q3 SD U P
Diet 20 9.1 9.5 7.0 10.0 9.0 10.0 2.42 351.50 0.647
Insulin 38 9.2 10.0 5.0 10.0 9.0 10.0 1.32
Treatment Apgar in 3 rd minute
N χ̄ Me Min. Max. Q1 Q3 SD U P
Diet 19 9.4 10.0 7.0 10.0 10.0 10.0 2.50 329.50 0.600
Insulin 38 9.5 10.0 6.0 10.0 10.0 10.0 1.11
Treatment Apgar in 5 th minute
N χ̄ Me Min. Max. Q1 Q3 SD U P
Diet 19 9.5 10.0 8.0 10.0 10.0 10.0 2.46 321.50 0.509
Insulin 38 9.7 10.0 7.0 10.0 10.0 10.0 0.74

N – number of observations; χ̄ – mean; Median; Min. – minimum value; Max. – maximum value; Q1 – lower quartile; Q3 – upper quartile; SD – standard deviation; U – value of the Mann-Whitney U test; p – test probability value; GDM – gestational diabetes mellitus.

The analysis showed that the women with GDM were older than the women without GDM, which was confirmed by quartile values (P=0.049). Among women with GDM, 25% were aged 36 years and over (compared to 33 years and over for women without GDM) and the maximum age of women with GDM was 45 years versus 43 years for women without GDM.

BMI before pregnancy was significantly higher in women with GDM (P=0.023). The median value was 2 points higher than for women without GDM (26.4 vs 24.4) and 25% of women with GDM had a BMI of 31.6 or more (in women without GDM it was 26.5).

It was also noted that women with GDM had significantly lower GWG values than women without GDM (Me=7.0 vs 11.0; P<0.001). In addition, 7 of the women with GDM reported weight loss, which ranged from 1 to 8 kg. In this group, 2 women had normal body mass, 2 were overweight, and 3 were obese. This shows the positive impact of education and the use of an appropriate diet during pregnancy. Taking into account the type of treatment applied, women treated with insulin had less weight gain (P=0.020).

However, there was no statistically significant difference in body mass of the child in women with GDM compared to women without GDM (P>0.05). See Table 6 for details.

Table 6.

Differences in maternal age, BMI, GWG, and birth weight of the child and the occurrence of GDM in the mother.

GDM Mother’s age [years]
N χ̄ Me Min. Max. Q1 Q3 SD U P
Yes 65 32.3 31.0 23.0 45.0 29.0 36.0 4.77 1412.50 0.049
No 55 30.2 31.0 20.0 43.0 27.0 33.0 4.36
GDM Pre-pregnancy maternal BMI [kg/m 2 ]
N χ̄ Me Min. Max. Q1 Q3 SD U P
Yes 59 27.5 27.3 17.9 48.1 22.8 32.2 6.83 1342.00 0.023
No 60 24.8 24.4 19.1 32.7 22.7 26.5 3.24
GDM GWG [kg]
N χ̄ Me Min. Max. Q1 Q3 SD U P
Yes 58 6.6 7.0 −8.0 23.0 3.0 11.0 6.03 768.00 <0.001
No 60 11.7 11.0 6.0 22.0 10.0 13.0 3.08
GDM Child’s birth body mass [g]
N χ̄ Me Min. Max. Q1 Q3 SD U P
Yes 63 3146.7 3195.0 830.0 4650.0 2830.0 3560.0 700.41 1838.00 0.794
No 60 3234.9 3210.0 2300.0 4709.0 3000.0 3470.0 442.68
Treatment Mother’s age [years]
N χ̄ Me Min. Max. Q1 Q3 SD U P
Diet 24 31.3 30.5 24.0 43.0 29.0 32.5 4.39 413.00 0.286
Insulin 41 32.8 31.0 23.0 45.0 29.0 36.0 4.95
Treatment Pre-pregnancy maternal BMI [kg/m 2 ]
N χ̄ Me Min. Max. Q1 Q3 SD U P
Diet 22 26.4 24.7 18.3 41.9 21.1 28.7 6.58 329.50 0.227
Insulin 37 28.1 27.4 17.9 48.1 24.4 31.6 6.23
Treatment GWG [kg]
N χ̄ Me Min. Max. Q1 Q3 SD U P
Diet 21 9.0 9.0 −8.0 23.0 7.0 13.0 6.59 2.39 0.020
Insulin 37 5.3 5.0 −7.0 14.0 2.0 8.0 5.30
Treatment Child’s birth body mass [g]
N χ̄ Me Min. Max. Q1 Q3 SD U P
Diet 22 3214.8 3210.0 1150.0 4650.0 2680.0 3600.0 741.76 411.50 0.574
Insulin 41 3110.2 3150.0 830.0 4400.0 2880.0 3510.0 683.83

N – number of observations; χ̄ – mean; Median; Min. – minimum value; Max. – maximum value; Q1 – lower quartile; Q3 – upper quartile; SD – standard deviation; tt test for independent samples; U – value of the Mann-Whitney U test; P – test probability value; BMI – body mass index; GDM – gestational diabetes mellitus; GWG – gestational weight gain.

Discussion

We found that GDM has clinical implications not only for the mother, but also for the baby. More frequent CS were found but also economic consequences due to the longer LOS of both, which is confirmed by the results of our study, where women with GDM (and their children) were hospitalized significantly longer. Women with GDM were found to be older and had higher BMI before pregnancy.

Untreated diabetes can cause miscarriages, fetal death, malformations, and hyperinsulinemia manifested by macrosomia, fetal hypertension, myocardial hypertrophy, hypertension, and associated prolonged jaundice [6,22].

We found that GDM is more common in older women. This is confirmed by data from the literature. GDM, as well as many other medical conditions complicating pregnancy, are more common in older women [23,24]. GDM in advanced age is a high-risk condition, more specifically an age-related risk, and the risk of GDM appears to increase in cases of preeclampsia [25].

More often, obese pregnant women are at risk of developing gestational diabetes, which is due to abnormal glucose metabolism [23]. Overweight/obesity is associated with a grouping of metabolic risk factors in early pregnancy that is correlated with a higher risk of GDM. Research by Yen et al suggests that metabolic risk factors in early pregnancy should be assessed in overweight/obese women [26]. In our own study, the results obtained in the literature were confirmed. In our group, women with GDM before pregnancy had a higher BMI than women without GDM, indicating that they were overweight.

Appropriate control of glycemia (patients were cared for and treated at the Diabetes Clinic of the University Clinical Hospital No. 1 in Rzeszów) also contributed to the appropriate weight of the mother and the newborn. The literature strongly links macrosomia to GDM [27]. According to the latest data, it is very important to analyze the relationship between GDM and fetal macrosomia, while correcting for the mother’s obesity. In this way, one can show the true nature of the relationship between these 2 factors, without considering the co-relationship of maternal obesity [28]. GWG of women diagnosed with gestational diabetes fell within the normal range compared to women without GDM, which proves that they were receiving appropriate control of glycemia, and the effectiveness of diet and treatment of hyperglycemia.

The LOS of GDM patients was longer compared to the healthy women because patients were admitted to the hospital at an earlier date for preinduction of labor and more frequent delivered by cesarean section.

None of the newborns had birth defects. This is explained, among other things, by the fact that detection of diabetes in early pregnancy is associated with more serious complications compared to diabetes detected at 24–28 weeks of gestation, even with early treatment [29]. This is due to the toxic effect of glucose metabolites on tissues during organogenesis. In the analyzed cases, diabetes was detected at 24–28 weeks of pregnancy.

According to the literature, adverse reactions are more common in women with pre-gestational diabetes than in those with gestational diabetes [23]. In the study group, all of the patients were diagnosed with diabetes during pregnancy.

Hartling et al performed a systematic review and meta-analysis for the U.S. Preventive Services Task Force and the National Institutes of Health Office of Medical Applications of Research. The study included pregnant women with GDM, and the results obtained indicate a slight reduction in the risk of preeclampsia, shoulder dystocia, and fetal macrosomia in the group of women undergoing treatment. The only adverse effect of diabetes treatment was a greater number of perinatal visits. The results presented are consistent with those obtained in our study. The authors also did not show differences in CS, labor induction, low neonatal weight, or admission to the neonatal intensive care unit. This is consistent with data from the Rzeszów center. In addition, researchers emphasize excessive GWG and baseline obesity, which are unfavorable for perinatal outcomes [30]. Similar data were obtained in our study.

Pillay et al reviewed GDM screening tests and their consequences to update the 2014 U.S. Preventive Services Task Force recommendation. Data analysis shows that treated GDM diagnosed at 24 weeks of gestation is associated with a lower risk of preterm birth, preeclampsia, and fetal macrosomia. There was no association with the risk of hypoglycaemia in newborns and an increased number of CS deliveries [31]. These data are consistent with the results obtained in our study.

A similar study was conducted at the Department of Obstetrics and Gynecology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India. Hospitalized women tended to have lower economic status, suggesting that their access to perinatal care and education was limited. This had consequences for the obstetric outcomes in the Indian population studied; they were worse than in the Polish population in the present study: 44% versus 36.6% of women required a cesarean section and 34% experienced complications during pregnancy or childbirth; 3 newborns had macrosomia; 20% required admission to the neonatal intensive care unit, and infant mortality was 3% versus 0%. Fewer complications were found in newborns from mothers whose GDM was compensated. This example highlights the role of compensated GDM in perinatal outcomes in both the mother and the fetus [32].

Data from the literature highlight the adverse role of factors that complicate pregnancy as a cause of cardiovascular complications later in women’s lives. The pathophysiology of changes is multifactorial, occurring under the influence of both environmental and physiological factors. After accounting for confounding factors, including overweight, smoking, and comorbidities, large-cohort studies indicate that pregnancy complications were associated with all-cause mortality, cardiovascular mortality, and hospitalizations for cardiovascular disease. The study highlighted that less common complications of pregnancy, such as preterm birth and stillbirth, are also associated with cardiovascular diseases and mortality from cardiovascular diseases [33].

It is necessary to learn about these mechanisms and to distinguish a group of women at high risk of developing complications with vascular etiology to apply preventive measures in a timely manner.

Strengths of the present study -are that it showed a positive effect of qualified specialist medical care on perinatal outcomes, and it was carried out in a medical center by a team of researchers using standardized pregnancy management.

By analyzing the modifiable and non-modifiable factors of the development of hyperglycemia in pregnancy, the study confirmed that through the education of patients it is possible to influence their dietary behavior and body mass regulation, thus reducing the negative impact of hyperglycemia on the health of the mother and child. The key here is a diet based on the patient’s BMI, weight gain of up to 5–7 kg in obese patients, as well as intensive control of glycemia, preventing significant changes in glycemia during the day.

The implementation of the FREE STYLE LIBRE [34] continuous monitoring system with the use of a telephone application may be key to meeting the above conditions. It also seems advisable to introduce recommendations for physical activity together with recording the number of steps walked each day.

The study may be limited by the small number of patients, which is the result of the parity that prevails in the center. This number is also influenced by the demographic decline and the lower number of births in Poland. Considering the results obtained, it is worth continuing the research results by expanding them with an additional assessment of the patients’ physical activity and its relationship with GDM.

Conclusions

Our study confirms that GDM has a clear impact on prolonged LOS of the mother and child, more frequent CS delivery, and normal GWG.

Awareness of the occurrence of GDM as well as proper education and control of glycemia contribute to appropriate weight gain during pregnancy, which proves the great responsibility of future mothers and the importance of their knowledge. Efforts should be made to improve care and to develop education on the risks arising from the consequences of abnormal glycemic values.

In the analyzed group, fetal macrosomia was not found more often in the group of women with GDM, which may indicate that they were receiving appropriate treatment and thus there was no negative influence of hyperglycemia on fetal development. Therefore, it seems advisable to conduct education in the field of nutrition and appropriate weight gain for all pregnant women.

Footnotes

Conflict of interest: None declared

Institution Where Work Was Done: University Clinical Hospital them. F. Chopin in Rzeszów, Rzeszów, Poland.

Financial support: None declared

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