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Original Article
13 (
01
); 028-031
doi:
10.1055/s-0042-1744358

Glycemic Status and Maternal Outcome among Women with Gestational Diabetes Mellitus

Department of OBG Nursing, Yenepoya Deemed to be University, Mangaluru, Karnataka, India.
Department of Community Health Nursing, Father Muller College of Nursing, Mangaluru, Karnataka, India
Department of Obstetrics and Gynaecology, Srinivas Institute of Medical Science and Research Center, Mangaluru, Karnataka, India
Yenepoya College of Nursing, Yenepoya Deemed to be University, Deralakatte, Mangaluru, Karnataka, India

Address for correspondence Reena Wilma Frank, PhD, Yenepoya Deemed to be University, Mangaluru, Karnataka, India (e-mail: 575018rinwil21@yahoo.co.in)

Licence
This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)
Disclaimer:
This article was originally published by Thieme Medical and Scientific Publishers Pvt. Ltd. and was migrated to Scientific Scholar after the change of Publisher.

Abstract

Introduction

Maternal gestational diabetes mellitus (GDM) is one of the most common medical complications of pregnancy. GDM can adversely affect the short- and long-term health of mothers and their newborns.

Aim

This study aims to determine the association between maternal glycemic parameters with adverse maternal outcomes and baseline characteristics among women with GDM.

Settings and Design

Observational, prospective study.

Materials and Methods

Sixty-six pregnant women visiting outpatient department of a parent hospital who were diagnosed with GDM by an obstetrician were included in the study. Glycemic parameters were documented at the time of diagnosis (at 24 weeks of pregnancy). The maternal outcomes were studied after 24 hours of delivery.

Results

The mean age of the women was 29.05 ± 3.98 years and 36.4% of the women were primipara. Among 66 women, 47% had a family history of diabetes mellitus, and that 48.28% of them belonged to first-degree relatives. Body mass index indicated in prepregnancy status 39.4% of them were overweight. In glycemic parameters, 63.6 and 93.9% of the women had increased fasting blood sugar and postprandial blood sugar values, respectively. Hemoglobin A1c (HbA1c) was elevated in 45.5% of the women. The maternal outcome showed that 30.30% of the women underwent cesarean section, 18.18% had preeclampsia, and 15.16% of them had increased weight gain (>11kg). There was a significant association between HbA1c and preeclampsia, p = 0.044.

Conclusions

The study reiterates that GDM has a poor maternal outcome, the mother is at risk to develop preeclampsia, increased maternal weight gain, and interference of cesarean section is more.

Clinical Significance

During the antenatal period among GDM mothers' glycemic control is very essential. Any variation in the glycemic parameters of the mother will lead to poor maternal outcomes.

Keywords

glycemia
gestational diabetes mellitus
maternal outcome
pregnancy outcomes

Introduction

Gestational diabetes mellitus (GDM) refers to any degree of blood glucose intolerance that occurs or is discovered for the first time during pregnancy.1 In recent years, the incidence of GDM has been increasing year by year. There are an estimated 223 million women (20–79 years) living with diabetes. This number is projected to increase to 343 million by 2045. Out of the above statistics, 20 million had some form of hyperglycemia in pregnancy.2 GDM is a well-known risk factor for adverse maternal outcomes such as big baby, prolonged labor, macrosomia, and neonatal hypoglycemia.345 It is a common high-risk6 metabolic complication. A case–control study was conducted in a tertiary care maternity hospital in coastal South India. The study results depicted that women from rural areas and those with a monthly income ≤international normalized ratio 20,000, body mass index (BMI) >23 kg/m2, polyhydramnios, pregnancy-induced hypertension, oligohydramnios, and a gap between pregnancies of <2 years had a higher risk to develop GDM.7 Exploring the risk factors of GDM, analyzing the adverse effects on pregnancy outcomes, and proposing corresponding preventive measures are of great significance for reducing the presence and progression of GDM and ensuring the safety of mothers and infants. The study aims to determine the association between maternal glycemic parameters and adverse maternal outcomes of GDM among women.

Materials and Methods

This is a prospective observational study conducted among 66 pregnant women diagnosed with GDM. These women were recruited from the outpatient department of the selected tertiary care hospital. Data were collected from January to December 2020. Ethical clearance was obtained from the Institutional Ethics Committee and due permission was taken from concerned authorities in the hospital. Informed written consent was taken from the study participants. Subjects were recruited at 24 weeks of pregnancy. Baseline data were collected by interview method and the glycemic parameters were collected by sending the blood to the laboratory. These women continued to visit the antenatal clinic and received routine care. Maternal outcomes were obtained from the mother's case sheet at 24 hours of delivery.

Statistical analysis: Quantitative data were presented as mean ± standard deviation, and categorical data were presented as percentages. The test of significance used was the analysis of variance test. A p-value < 0.05 was considered statistically significant.

Results

Baseline characteristics of the women were discussed in Table 1 in which 54.5% of the women belonged to 26 to 30 years of age. Among the subjects, 59.1% of them were multigravida. A family history of DM was presented by 47% of the women and 28.8% of them had a family history of hypertension. In the prepregnancy period, BMI indicated 39.4% of them as overweight.

Table 1 Distribution of baseline characteristics among GDM mothers, n = 66

Sl no

Variables

f %

1.

Age in years

29.05 ± 3.98

 a. 20–25

10

15.2

 b. 26–30

36

54.5

 c. 31–35

14

19.7

 d. 36–40

6

10.6

2

Gravida

 a. Primigravida

20

30.3

 b. Multigravida

39

59.1

 c. Grand multigravida

7

10.6

3

Education level

 a. No formal education

1

1.5

 b. Primary education

27

40.9

 c. High school

27

40.9

 d. Higher secondary/diploma

10

15.2

 e. Degree and above

1

1.5

4

Occupation

 a. Homemaker

55

83.3

 b. Employed

11

16.7

5

History of macrosomia (≥4 kg)

 a. Yes

3

4.54

 b. No

43

65.16

 c. Not applicable

20

30.30

6

Family history of diabetic mellitus

 a. Yes

31

47.0

 b. No

35

53.0

7

Family history of hypertension

 a. Yes

19

28.8

 b. No

47

71.2

8

History of PCOS

 a. Yes

8

12.1

 b. No

58

87.9

9

BMI (Prepregnancy)

 a. Normal

40

60.6

 b. Overweight

26

39.4

Abbreviations: BMI, body mass index; GDM, gestational diabetes mellitus; PCOS, polycystic ovarian syndrome.

The distribution of the glycemic parameters was depicted in Table 2. The mean fasting blood sugar (FBS) was 108.61 ± 31.41, postprandial blood sugar (PPBS) was 163.94 ± 39.98, and mean hemoglobin A1c (HbA1c) was 6.52 ± 1.35.

Table 2 Distribution of FBS, PPBS, and HbA1c values, n = 66

Variables

Values

Mean ± SD

f-Value

%

FBS

(mg/dL)

≤94

108.61 ± 31.41

24

36.4

≥95

42

63.6

HbA1c

(%)

≤6.5

6.52 ± 1.35

36

54.5

≥6.6

30

45.5

PPBS

(mg/dL)

≤120

163.94 ± 39.98

4

6.1

≥121

62

93.9

Abbreviations: FBS, fasting blood sugar; HbA1c, hemoglobin A1c; PPBS, postprandial blood sugar; SD, standard deviation.

Maternal outcomes of the women were discussed in Table 3, in which 30.30% underwent lower segment cesarean section (LSCS), 18.18% had preeclampsia, and weight gain found to be more than 11 kg during pregnancy among 15.16% of the subjects.

Table 3 Association between glycemic parameters with maternal outcome, n = 66

Variables

Maternal outcome

f-Value

p-Value

FBS

Preeclampsia

0.861

0.357

Polyhydramnios

0.007

0.936

Prolonged labor

2.542

0.116

Perineal injury

1.348

0.250

LSCS

0.769

0.384

Preterm

0.760

0.387

Weight gain

0.183

0.670

PPBS

Preeclampsia

0.826

0.367

Polyhydramnios

0.004

0.950

Prolonged labor

1.966

0.166

Perineal injury

1.095

0.300

LSCS

1.776

0.188

Preterm

0.036

0.851

Weight gain

1.779

0.188

HbA1c

Preeclampsia

4.235

0.044*

Polyhydramnios

0.009

0.926

Prolonged labor

0.408

0.526

Perineal injury

0.036

0.851

LSCS

3.778

0.057*

Preterm

0.267

0.607

Weight gain

0.006

0.878

Abbreviations: FBS, fasting blood sugar; HbA1c, hemoglobin A1c; LSCS, lower segment cesarean section; PPBS, postprandial blood sugar; SD, standard deviation.

p < 0.05, *significant.

Fig. 1 depicted the association between glycemic parameters with the maternal outcome, which showed that there was a significant association between glycemic scores and maternal outcome of preeclampsia, p =0.044.

Fig. 1 Percentage distribution of mothers with gestational diabetes as per their maternal outcomes. LSCS, lower segment cesarean section.
Fig. 1 Percentage distribution of mothers with gestational diabetes as per their maternal outcomes. LSCS, lower segment cesarean section.

Association of glycemic parameters with selected baseline variables was analyzed and it showed a significant association between FBS scores and family history of hypertension, p = 0.010 and family history of DM, p =0.002.

Discussion

The maternal outcome is comparatively poor among GDM women. Present study showed that mean FBS, PPBS and HbA1c values as 108.61 ± 31.41, 163.94 ± 39.98, and 6.52 ± 1.35 respectively. As a results of increased glycmic values 30.30% of the women underwent LSCS and 18.18% had preedampcia. Ma and Zhang noted that during pregnancy, 28.0% patients were with pregnancy-induced hypertension, 24.0% with polyhydramnios, and 26.0% with preeclampsia.8 Study conducted by Muche et al depicted that GDM mothers had a higher risk for a poor maternal outcome like cesarean section, pregnancy-induced hypertension, premature rupture of membranes, antepartum hemorrhage, and postpartum hemorrhage.9 Other studies reported that 40.1% of GDM mothers were delivered by cesarean section.10 A prospective study on the maternal and perinatal outcome of GDM showed a higher incidence of pregnancy-induced hypertension (11.9%), induction of labor (37.2%), cesarean section (58.96%) preterm delivery (2.99%), and macrosomia (2.9%).11 Zheng et al's multivariable-adjusted model showed only fasting glucose was significantly associated with total and individual adverse pregnancy outcomes.12 In the current study, there was a significant association between HbA1c scores and maternal outcome of preeclampsia, p =0.044. The study conducted by Buhary et al reported that patients with higher HbA1c were older (p = 0.0077), had significantly higher blood pressure, proteinuria (p < 0.0001), and were multiparous (p = 0.0269).13

This study found a significant association between FBS scores and family history of hypertension, p = .010, and family history of DM, p=.002. The study done by Nicolosi et al found that family history of DM (169, 1.16–2.16) and hypertension (2.00, 1.36–2.98) were independent risk factors for cesarean section.14

Limitations of the Study

The sample size of the study was comparatively small, so generalization was found to be difficult. Further studies can be done to assess the risk factors of GDM and relative risk can be measured.

Conclusions

GDM has many adverse outcomes in maternal and fetal life. Early screening and timely intervention will help us to reduce future complications and maternal and neonatal mortality and morbidity. The present study highlights that there is an influence of glycemic status on maternal outcomes.

Clinical Significance

GDM is increasing worldwide. During the antenatal period among GDM mothers, glycemic control is very essential. Any variation in the glycemic parameters of the mother will lead to poor maternal outcomes. Therefore, it is vital to prevent complications by achieving good control of glycemic parameters.

Conflict of Interest

None declared.

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