early random capillary glucose level screening and multidisciplinary antenatal teamwork to improve...
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ORIGINAL ARTICLE
Early random capillary glucose level screening and multidisciplinaryantenatal teamwork to improve outcome in gestational diabetesmellitus
MARIE BERG1,2, ANNIKA ADLERBERTH3, BO SULTAN2,
MARGARETA WENNERGREN2 & GUNNAR WALLIN2
1The Institute of Health and Care Sciences, Sahlgrenska Academy, Goteborg University, Goteborg, Sweden, 2Department
of Obstetrics and Gynaecology, The Institute of Clinical Sciences, Sahlgrenska University Hospital, Goteborg, Sweden, and3The Institute of Medicine, Sahlgrenska University Hospital, Goteborg, Sweden
AbstractBackground . This study describes maternal and neonatal characteristics and delivery outcome in women with gestationaldiabetes mellitus [GDM], compared to a control group. Methods. A retrospective observational studyof 719 women with GDMwas undertaken in a Swedish urban district. All other parturients at the same hospital served as the control group. GDM wasdiagnosed using random capillary glucose levels at fixed intervals, beginning early in pregnancy. An oral glucose tolerance testwas performed at glucose levels ]/7.0 mmol/l (127.8 mg/dl). Data was analysed according to glucose levels at diagnosis, ie, mildor severe GDM. Results. GDM was diagnosed in 2.28% of the women who were older and had higher Body Mass Index [BMI].A high proportion was of non-Nordic origin (44.5%); they had severe GDM more often (49.1%) than the Nordic group(33.1%). The GDM-mild group had less complications and abnormalities, compared to the GDM-severe group, althoughboth groups differed from the control group in this respect. Delivery was spontaneous in 70.2% of GDM-mild, 65.7% of GDM-severe and 81.0% of the control group. LGA (�/2 SD) was found in 4.8, 10.5 and 3.2%, respectively. Conclusion. Early non-fasting random universal screening and multidisciplinary antenatal teamwork intervention seems to be favourable, with lowrates of excessive fetal growth, instrumental vaginal delivery and caesarean section.
Key words: Gestational diabetes mellitus, maternal-fetal outcome, random blood glucose, oral glucose tolerance test
Abbreviations: AGA: average for gestational age, BMI: body mass index, GDM: gestational diabetes mellitus, LGA: large
for gestational age, MBR: the Medical Birth Register, NS: not significant, NA: not applicable, OGTT: oral glucose tolerance
test, OOOW: obstetrical outpatient observation ward, OR: odds ratio, RCG: random capillary whole blood glucose, SD:
standard deviation, SGA: small for gestational age, SUH: Sahlgrenska University Hospital, WHO: World Health
Organisation, 2-h OGTT: two-hour capillary blood glucose OGTT
Introduction
Gestational diabetes mellitus [GDM] is defined as
any abnormal glucose tolerance first diagnosed
during pregnancy and caused by insulin resistance
connected with pregnancy-related defects in insulin
secretion. Occurrence of GDM during early preg-
nancy may indicate abnormal metabolism preceding
pregnancy. GDM is associated with adverse preg-
nancy outcome, such as pre-eclampsia, macrosomia,
brachial plexus palsy, neonatal hypoglycaemia and
jaundice (1�5). There is also an increased risk of
developing diabetes mellitus, mainly type 2, later in
life (6). No definite knowledge exists about at what
level the impairment in glucose metabolism will
affect obstetric outcome (7).
Globally, a multitude of diagnostic criteria and
treatments are available. The 75-g oral glucose
tolerance test [OGTT], proposed by the World
Correspondence: M Berg, Institute of Health and Caring Sciences, Sahlgrenska Academy, Goteborg University, Box 457, SE 405 30, Goteborg, Sweden.
E-mail: [email protected]
Acta Obstetricia et Gynecologica. 2007; 86: 283�290
(Received 3 March 2006; accepted 4 November 2006)
ISSN 0001-6349 print/ISSN 1600-0412 online # 2007 Taylor & Francis
DOI: 10.1080/00016340601110747
Health Organization [WHO] (8), is utilised for
diagnosis in many centres. OGTT may be adminis-
tered to all pregnant women at a certain gestational
age or only to those with risk factors for gestational
diabetes. Another option is non-fasting random
blood glucose sampling only once or at regular
intervals during pregnancy to select women for
OGTT (9,10).
The aim of this study was to examine maternal
and neonatal characteristics and delivery outcomes
associated with a new antenatal care regimen for
GDM, including early non-fasting random capillary
whole blood glucose [RCG] level screening and
multidisciplinary antenatal teamwork.
Material and methods
In connection with an organisational change in
maternity care in the western part of Sweden,
including concentration of maternity care to Sahl-
grenska University Hospital [SUH], the routines for
detecting and treating GDM were changed. The
WHO recommendation (11), suggesting early inter-
vention, was followed. All pregnant non-diabetic
women attending the antenatal clinics were offered
non-fasting RCG tests, at fixed gestational ages, but
at random times during the day. Tests were taken at
the first visit, at gestational week 8�12, and every
4�6 weeks, beginning from gestational week 24, a
total of 5�6 tests during pregnancy. Women with
RCG ]/11.1 mmol/l (203 mg/dl), or with a fasting
glucose level ]/6.1 mmol/l (111 mg/dl) preceding
OGTT, were diagnosed as GDM. If RCG was ]/7.0
mmol/l (128 mg/dl) and B/11.1 mmol/l (203 mg/dl),
OGTT, with 75 g anhydrous glucose dissolved in
300 ml of water, was performed after an overnight
fast. Both RCG and blood tests for the OGTT
were analysed in a Hemocue† using 5 ml capillary
whole blood (Hemocue AB, Angelholm, Sweden).
A 2-h capillary blood glucose level (2-h OGTT)
]/7.8 mmol/l (142 mg/dl) during the OGTT led to a
diagnosis of GDM. This is in agreement with the
1998 WHO classification criteria (11).
After diagnosis, the woman attended the hospital’s
obstetrical outpatient observation ward [OOOW]
and met a specially trained ‘diabetes midwife’. The
model of care stressed the importance of the
woman’s participation in and responsibility for her
treatment, aimed at normalising blood glucose
levels, and consisted of individual adjusted diet and
physical activities. She received a blood glucose
monitor and was instructed to test glucose levels at
least three times pre-prandially and 1 h postpran-
dially daily. Dietary advice included a balanced diet
with slow carbohydrates without caloric restriction
and regular food intake, including three meals and
two or three snacks. To avoid hyperglycemia before
noon, breakfast was commonly divided into smaller
portions. The ‘slow carbohydrate diet’ included
dietary fibres, eg, whole-grain sourdough bread
instead of white, sweetened bread, fruit instead of
juice, no milk in liquid form, fibre rich legumes as
carrots and not only lettuce, tomatoes or cucumbers.
Information was given on the positive effects of
physical activity to lower blood glucose level and
daily walks were proposed as exercise. The target
glucose level was 4�6 mmol/l (73�109 mg/l) pre-
prandially, and B/8 mmol/l (146 mg/dl) postpran-
dially. Follow-up was scheduled at the OOOW some
days later, including a visit to an obstetrician who
also performed an ultrasound in cases �/28 gesta-
tional weeks. The blood glucose levels, changed diet
regimen and physical activities were followed up and
revised in dialogue between the woman and the
‘diabetes midwife’. When lifestyle changes were
sufficient to normalise blood glucose levels, the
woman continued her visits to the primary antenatal
clinic. Twice a week, she monitored blood glucose
levels six times daily as prescribed above, and had
telephone contact with the diabetes midwife at the
OOOW every other week in order to follow up
glucose levels, be given additional advice on diet and
physical activities and engage in dialogue according
to her needs. Ultrasound, including estimation of
weight and amniotic fluid index, was performed
every 4 weeks, beginning from 28 gestational weeks.
If treatment with diet and physical activities was
insufficient, insulin treatment was added and the
woman terminated her contact with the primary
antenatal clinic. Her antenatal care, including the
GDM treatment, was taken over by a multidisci-
plinary team consisting of a diabetes midwife, a
diabetologist, and an obstetrician specially trained in
diabetology, at the hospital’s antenatal specialist out-
patient department. Mealtime insulin (human in-
sulin or analogue) was initiated at postprandial
glycemic increases of �/2 mmol/l (target value
B/8 mmol/l), and bedtime insulin (Neutral Prota-
mine Hagedon; NPH) was prescribed if fasting
glucose levels were �/6 mmol/l. If there were
problems normalising preprandial blood glucose
levels, treatment with NPH insulin was also given
in the morning.
At term, the woman saw the obstetrician in order
to review the pregnancy and plan for delivery. The
first choice was spontaneous vaginal delivery at a
special high-risk delivery ward. After birth, rooming-
in was the norm and early breastfeeding/supplemen-
tary formula, and strict blood glucose monitoring of
the neonate were routine. The woman returned to
284 M. Berg et al.
her ordinary diet and checked blood glucose levels
after at least 24 h to ensure a normal range.
The study population consisted of all women with
GDM identified and treated according to the rou-
tines described above during the period July 1 1998
to June 30 2002, who gave birth at SUH. Among the
included women, 15 gave birth twice during the
study period.
Analysis
Maternal, delivery and neonatal outcomes in the
study group were compared with a control group
consisting of all other women (without signs of
GDM) giving birth during the same period at the
same hospital (SUH controls). Data was available
from hospital records and the Swedish Medical Birth
Register [MBR] (12).
The European Pregnancy Study Group (10) has
suggested a 2-h OGTT ]/9.0 mmol/l (165 mg/dl) as
the diagnostic criterion for GDM. We, therefore,
stratified the GDM subjects into two subgroups for
analysis, according to the blood glucose level at
diagnosis, ie, (1) GDM-mild: fasting glucose B/6.1
mmol/l (111 mg/dl) and 2-h OGTT 7.8�8.9 mmol/
L (142�163 mg/dl), and (2) GDM-severe: RCG ]/
11.1 mmol/l (203 mg/dl), or fasting glucose �/
¯6.1
mmol/l (111 mg/dl) preceding OGTT, or 2-h
OGTT ]/9 mmol/l (165 mg/dl). For the sake of
completeness, we also present the GDM-composite
group.
Statistical analyses were performed using the
statistical software package (SPSS). Descriptive
statistics were performed for all variables. The x2-
test (Pearson x2), odds ratio with 95% confidence
interval were applied for analyse categorical vari-
ables. Analysis of variance [ANOVA] was used for
continuous variables, as well as the t-test when
assumptions of normality were met. Otherwise, the
Wilcoxon test was performed. The Bonferroni ad-
justment procedure was used to control for multiple
testing. p-Values B/0.05 were regarded as signifi-
cant. Body mass index [BMI] was calculated from
height and weight at the first visit to the antenatal
clinic.
Results
Prevalence and week for diagnosis
During the observational period, 31,542 deliveries,
resulting in 32,176 children, took place at SUH.
GDM was diagnosed in 719 women (699 singleton
mothers) resulting in 741 children, corresponding to
2.28% of the whole population. Of these, 84.4%
(n�/ 607) were treated with diet only and 15.6%
(n�/ 112) were also treated with insulin. The mean
gestational age at GDM diagnosis was 27 weeks and
5 days, 59.8% (n�/ 430) were diagnosed as GDM-
mild and 40.2% (n�/ 289) as GDM-severe. Signifi-
cantly more women, 26.0% (n�/ 75), with GDM-
severe needed insulin treatment compared to 8.6%
(n�/ 37) in the GDM-mild group (pB/ 0.001).
Maternal characteristics and delivery outcome
Maternal characteristics and delivery outcomes are
presented in Tables I �IV. Many of the women with
GDM were of non-Nordic origin (44.5%, n�/ 320),
and significantly more women in this group had
GDM-severe, 49.1% (n�/157) compared to 33.1%
(n�/ 132) (pB/ 0.001) among the Nordic women. No
information concerning ethnic origin in the SUH
control group was available, but 25.3% of women of
fertile age (age 15�45) were of non-Nordic origin in
the city of Goteborg (the main geographic area of the
study) at the time (Personal communication, Mar-
ianne Tedeholm, Goteborg Statistics).
Women with GDM were older and of higher parity
than those in the SUH-control group. Obesity was
more frequent in the GDM-mild and GDM-severe
groups than in the control group (18.5 and 29.6%
versus 8.3%). The need for insulin treatment in-
creased with increasing BMI. Among women with
normal weight (BMI B/25 kg/m2), 9.6% (n�/ 33)
required insulin, compared to 31.9% (n�/ 52) in the
obese group (pB/0.001). Pre-eclampsia, induction
of labour and elective caesarean section in both
groups was more frequent than in the control group.
Neonatal characteristics
Neonatal characteristics are presented in Tables V
and VI. There was a significant difference in mean
birth weight when dividing in weight classes based
on growth standards for a Swedish population (13),
including ‘small for gestational age’ [SGA] defined
as B/�2 SD and ‘large for gestational age’ [LGA]
defined as �/2 SD. Both GDM groups had lower
frequency of average weight for gestational age
[AGA]. The LGA frequency was 10.5% in the
GDM-severe group, and 7.1% in the GDM-compo-
site group, compared to 3.2% in the control group.
There were significantly more infants with Apgar
scores B/7 at 5 min in the GDM-severe group than
in the control group (2.7 versus 0.8%, OR: 3.25)
and well as in the GDM-composite group (1.8
versus 0.8%, OR: 2.10). There were two stillbirths
in the GDM-mild group (chromosome fault and
abruption of placenta), and none in the GDM-severe
Gestational diabetes; antenatal teamwork 285
group, compared to 157 among the controls. Un-
fortunately, data on neonatal complications such as
jaundice and hypoglycemia, was not available due to
insufficient hospital records.
Discussion
In this observational retrospective study, it was
concluded that the pregnancy outcome of women
with GDM differs from that of a control group of
women from the same unit. This is in agreement
with other studies in which GDM women, despite
various treatments, are more likely to suffer maternal
and fetal complications (3,14,15).
Our choosing to analyse the results in two
subgroups, GDM-mild and GDM-severe, seems
appropriate as earlier studies (14,16) suggest that
women with 2-h OGTT ]/7.8�9. 0 mmol/l (142�165 mg/dl) (GDM-mild) should not be the objects
of intervention. More knowledge is needed concern-
ing the glucose level at which metabolic disorders
affect mother and child, knowledge which will
hopefully evolve from the Hyperglycemia and Ad-
verse Pregnancy Outcome study (17).
One of the most important outcomes in our study
is the low frequency of LGA and macrosomia. It is
considerable lower compared to data 10 years ago,
when we used another model of treatment (unpub-
lished data). First, we compare our result with
studies on untreated GDM. In Swedish studies by
Nord et al. (16) and Ostlund et al. (18), using the
same criterion for LGA (�/2 SD), the frequency of
LGA infants was 10.8% in a group with 2-h OGTT
]/8.0�8.9 (147�163 mg/dl) (16), and 25% in a
group with 2-h OGTT ]/9.0�11.0 (165�201 mg/
dl) (18). In our study, the frequency of LGA
neonates was 4.8 and 10.5% in the group with 2-h
OGTT ]/7.8�8.9 mmol/l (GDM-mild), and ]/9.0
(GDM-severe), respectively. In the composite
GDM-group, the frequency was 7.1%. As the
definition of LGA varies globally, frequency of
macrosomia may be a useful variable when compar-
ing different studies. In a large Danish cohort study
by Jensen et al. (14), 33.9% of the infants born to
the group of women with 2-h OGTT ]/7.8�8.9
(142�163 mg/dl) and with no intervention had birth
weights over 4000 g. This can be compared to
14.3% for the corresponding group of women who
were the objects of active intervention in our study
(GDM-mild). In the Swedish study by Ostlund et al.
(18), 33% had macrosomia compared to 21.8% in
our corresponding group (GDM-severe).
Table I. Maternal characteristics according to glucose level at diagnosis.
GDM-mild
(n�/ 430)
GDM-severe
(n�/ 289)
SUH-control
group
(n�/ 30823)$ p -value
OR (95% CI)
GDM-mild/SUH-
control group
OR (95% CI)
GDM-severe/SUH-
control group
Maternal age (years) 31.89/4.9 32.09/5.0 30.19/5.0
(n�/ 30793)$$B/0.001 NA NA
BMI* (kg/m2) 26.79/8.8 27.89/9.5 24.19/4.0
(n�/ 19758)$$B/0.001 NA NA
BMI B/25 kg/m2 51.5 (217) 43.6 (125) 67.7 (13384)
(n�/ 19758)
B/0.001 0.49
(0.40, 0.59)
0.36
(0.29, 0.46)
255/BMIB/30 kg/m2 29.9 (126) 26.8 (77) 24.0 (4742)
(n�/ 19758)
0.0241 1.31
(1.1, 1.62)
1.15
(0.89, 1.50)
BMI �/
¯30 kg/m2 18.5 (78) 29.6 (85) 8.3 (1632)
(n�/ 19758)
B/0.0001 2.46
(1.92, 3.16)
4.63
(3.58, 6.00)
Parity** (No.) 2.09/1.3 2.29/1.4 1.79/0.9
(n�/ 31291)$$B/0.0001 NA NA
Smoking* 3.8 (16)
(n�/ 419)
8.2 (23)
(n�/ 281)
10.6 (3104)
(n�/ 29159)$$B/0.0001 0.33
(0.20, 0.55)
0.75
(0.49, 1.15)
Pre-pregnancy
hypertension
0.5 (2) 0.7 (2) 0.3 (99)
(n�/ 31514)$$NS 1.48
(0.37, 6.03)
2.21
(0.54, 9.01)
Pregnancy-induced
hypertension
1.9 (8) 1.4 (4) 0.5 (169)
(n�/ 31514)$$0.0002 3.52
(1.72, 7.19)
2.60
(0.96, 7.06)
Pre-eclampsia 5.1 (22) 6.6 (19) 2.9 (920)
(n�/ 31514)$$B/0.0001 1.79
(1.16, 2.77)
2.34
(1.46, 3.74)
$The GDM group is excluded except for parity, pre-pregnancy hypertension, pre-pregnancy hypertension and pre-eclampsia.$$From the MBR. Personal communication, Frida Lundblad, MBR, September 2005.
*BMI and smoking at first visit at the antenatal clinic. BMI B/25 kg/m2�/normal weight, 255/BMIB/30 kg/m2�/overweight, BMI ]/30 kg/
m2�/obesity.
**Parity: after the present delivery.
Data are given as mean9/SD, or rate% (n ). Significance test p�/ B/0.05 (x2 or variance test) for all three groups.
286 M. Berg et al.
This comparison indicates that treatment of GDM
reduces macrosomia/LGA, as has been shown in
other studies. Furthermore, we have compared our
results with studies on treated GDM. In a large case-
control study (19), the frequency of LGA and
macrosomia and composite neonatal outcome in
treated cases of GDM approached that in the group
of non-diabetic subjects, in contrast to untreated
cases. The frequency of macrosomia was 7% in the
treated group, compared to 17% in the untreated
group (19). It is difficult to compare this with the
results of our study, as the study groups differ. The
criteria for diagnosis of GDM differ and there are
considerable differences in ethnicity; 86% of the
subjects in the above-mentioned study were Hispa-
nic. A randomised, multi-centre, study with similar
inclusion criteria as in our GDM-composite group
(2-h OGTT 7.8�11.0 mmol; 142�200 mg/dl) has
recently been presented (20). The frequency of
macrosomia in the treatment group was 10%,
compared with 17.3% in our GDM-composite
group. The difference may be due to diverse study
populations, eg, 19% of Asian origin compared to
44.5% of non-Nordic origin in our study. Moreover,
Table III. Maternal characteristics in GDM-composite group versus SUH-control group.
GDM-composite
group (n�/ 719)
(98�02)
SUH-control
group
(n�/ 30,823)$ p -Value
OR (95% CI)
GDM-composite
group/SUH-control
group
Maternal age (years) 31.99/5.0 30.19/5.0 (n�/ 30,793)$$ 0.0000 NA
BMI* (kg/m2) 27.19/9.1 24.19/4.0 (n�/ 19,758)$$ 0.0000 NA
BMI B/25 kg/m2 48.3 (342) 67.7 (13,384) (n�/ 19,758) 0.0000 0.43 (0.37, 0.50)
255/BMIB/30 kg/m2 28.7 (203) 24.0 (4742) (n�/ 19,758) 0.0092 1.25 (1.06, 1.47)
BMI ]/30 kg/m2 23 (163) 8.3 (1632) (n�/ 19,758) 0.0000 3.26 (2.72, 3.91)
Parity** (No.) 2.19/1.3 1.79/0.9 (n�/ 31,291)$$ 0.0000 NA
Smoking* 5.6 (39) (n�/ 700) 10.6 (3104) (n�/ 29,159)$$ 0.0000 0.48 (0.35, 0.67)
Pre-pregnancy hypertension 0.6 (4) 0.3 (99) (n�/ 31,514)$$ NS 1.78 (0.65, 4.84)
Pregnancy-induced hypertension 1.7 (12) 0.5 (169) (n�/ 31,514)$$ 0.0001 3.15 (1.75, 5.68)
Pre-eclampsia 5.7 (41) 2.9 (920) (n�/ 31,514)$$ 0.0000 2.01 (1.46, 2.78)
$The GDM group is excluded except for parity, pre-pregnancy hypertension, pre-pregnancy hypertension and pre-eclampsia.
*BMI and smoking at first visit at the antenatal clinic. BMI B/25 kg/m2�/normal weight, 255/BMIB/30 kg/m2�/overweight, BMI ]/30 kg/
m2�/obesity.
**Parity: after the present delivery.$$From the MBR. Personal communication, Frida Lundblad, MBR, September 2005.
Data are given as mean9/SD or rate% (n ). Significance test p�/ B/0.05 (x2 or t -test).
Table II. Delivery outcomes according to glucose level at diagnosis.
GDM-mild
(n�/ 430)
GDM-severe
(n�/ 289)
SUH-control
group
(n�/ 30,823) p -Value
OR (95% CI)
GDM-mild/
SUH-control group
OR (95% CI)
GDM-severe/
SUH-control group
Delivery gestational
age (weeks)
39.49/1.9 39.29/1.6 39.19/2.2
(n�/ 28,849)
B/0.0001 NA NA
Premature delivery
B/37 week
8.4 (36) 6.9 (20) 8.0 (2315)
(n�/ 28,847)
NS 1.05
(0.74, 1.48)
0.85
(0.54, 1.35)
Induction of labour 16.7 (72) 17.0 (49) 10.7 (3297)
(n�/ 30,820)
B/0.0001 1.68
(1.30, 2.17)
1.70
(1.25, 2.32)
Spontaneous delivery 70.2 (302) 65.7 (190) 81.0 (24,963)
(n�/ 30,820)
B/0.0001 0.55
(0.45, 0.68)
0.45
(0.35, 0.58)
Vaginal delivery,
non-instrumental
77.7 (334) 73.7 (213) 79.2 (24,418)
(n�/ 30, 820)
0.0529 0.91
(0.73, 1.15)
0.73
(0.57, 0.96)
Instrumental vaginal
delivery
6.5 (28) 5.9 (17) 5.5 (1681)
(n�/ 30,820)
NS 1.21
(0.82, 1.78)
1.08
(0.66, 1.77)
Emergency caesarean
section
7.0 (30) 8.3 (24) 8.6 (2664)
(n�/ 30,820)
NS 0.79
(0.55, 1.15)
0.96
(0.63, 1.46)
Elective caesarean
section
8.8 (38) 12.1 (35) 6.5 (1993)
(n�/ 30,820)
B/0.0001 1.40
(1.00, 1.96)
1.99
(1.40, 2.85)
Data are given as mean9/SD, or rate% (n ). Significance test p�/ B/0.05 (x2 or variance test) for all three groups.
Gestational diabetes; antenatal teamwork 287
different frequencies of insulin treatment (20 versus
15.6%) cannot be ruled out as an explanation for the
lower macrosomia frequency in their study.
We found a significantly increased rate of induc-
tion of labour in the GDM-mild and -severe groups
compared to the controls (16.7 and 17.0%, respec-
tively, versus 10.7%) (Table II). The rates of elective
caesarean section were also increased in both groups
(8.8 and 12.1%, respectively, versus 6.5%). One
may speculate that the obstetrician’s knowledge of
GDM diagnosis makes him/her more inclined to
intervene. However, the total caesarean rate, includ-
ing emergency and elective procedures, of 17.6% for
the composite GDM group and 15.1% for the SUH
control group is much lower than that generally
described (18,20), and points to the fact that
Sweden, in an international perspective, still has a
comparably low caesarean section rate.
Different models of treatment of GDM are
proposed in the literature. Bonomo et al. (21) has
shown, in a randomised trial study, that flexible
ultrasound-based approach to the treatment of
GDM is more effective than conventional manage-
ment focusing glycemia. They used fetal abdominal
circumference, showing indirect evidence of fetal
hyperinsulinisation, as an indication for the use of
insulin treatment. However, Schaeffer et al. (22), in
their randomised trial study, has found that GDM
management, based on strict maternal glycemia
criteria alone, provides outcomes equivalent to
Table IV. Delivery outcomes in GDM-composite group versus SUH-control group.
GDM composite group
(n�/ 719)
SUH-control
group (n�/ 30,823) p -Value
OR (95% CI) GDM
composite group/
SUH-control group
Delivery gestational age (weeks) 39.39/1.8 39.19/2.2 (n�/ 28,849) 0.0029 NA
Premature delivery B/37 week 7.8 (56) 8.0 (2315) (n�/ 28,847) NS 0.97 (0.74, 1.28)
Induction of labour 16.8 (121) 10.7 (3297) (n�/ 30,820) 0.0000 1.69 (1.39, 2.06)
Spontaneous delivery 68.4 (492) 81.0 (24,963) (n�/ 30,820) 0.0000 0.51 (0.43, 0.60)
Vaginal delivery, non-instrumental 76.1 (547) 79.2 (24,418) (n�/ 30,820) 0.0398 0.83 (0.70, 0.99)
Instrumental vaginal delivery 6.3 (45) 5.5 (1681) (n�/ 30,820) NS 1.16 (0.85, 1.57)
Emergency caesarean section 7.5 (54) 8.6 (2664) (n�/ 30,820) NS 0.86 (0.65, 1.14)
Elective caesarean section 10.2 (73) 6.5 (1993) (n�/ 30,820) 0.0001 1.63 (1.28, 2.09)
Data are given as mean9/SD or rate% (n ). Significance test p�/ B/0.05 (x 2 or t -test).
Table V. Neonatal characteristics, according to glucose level at diagnosis.
Mode of delivery
GDM-mild
(n�/ 443)
GDM-severe
(n�/ 298)
SUH-control
group
(n�/ 31,435) p -Value
OR (95% CI)
GDM-mild/
SUH-control
group
OR (95% CI) GDM-
severe/SUH-control
group
Birth weight (g) 3422.99/588.7 3515.59/620.6 3472.69/619.7
(n�/ 28,959)
0.0139$ NA NA
Birth weight ]/4000 g 14.3 (62) 21.8 (64)* 16.9 (4812)
(n�/ 28,958)
0.0264 0.82
(0.62, 1.07)
1.37
(1.04, 1.81)
Birth weight ]/4500 g 2.7 (12) 6.4 (19)* 3.2 (922)
(n�/ 28,958)
0.0066 0.85
(0.48, 1.51)
2.07
(1.30, 3.31)
Birth weight ]/5000 g 0.5 (2) 0.3 (1) 0.4 (121)
(n�/ 28,958)
NS 1.08
(0.27, 4.39)
0.80
(0.11, 5.76)
LGA �/�/2 SD 4.8 (21) 10.5 (31)* 3.2 (900)
(n�/ 28,535)
B/0.0001 1.53
(0.98, 2.38)
3.57
(2.44, 5.20)
SGA B/�2 SD 5.3 (23) 3.7 (11) 3.5 (1008)
(n�/ 28,535)
NS 1.50
(0,98, 2,29)
1,05
(0,57, 1,92)
AGA ]/�2SD, 5/�/2 SD 89.9 (391)* 85.7 (252)* 93.3 (26627)
(n�/ 28,535)
B/0.0001 0.54
(0.40, 0.72)
0.39
(0.29, 0.54)
Apgar score B/4 at 5 min 0.9 (4)* 0.7 (2) 0.3 (93)
(n�/ 31,435)
0.0376 3.08
(1.13, 8.40)
2.28
(0.56, 9.30)
Apgar score B/7 at 5 min 1.1 (5) 2.7 (8)* 0.8 (265)
(n�/ 31,435)
0.0024 1.35
(0.55, 3.27)
3.25
(1.59, 6.63)
$The adjusted Bonferroni p -value is not significant.
*Statistical significant difference comparing sub-group versus SUH-control group.
Data are given as mean9/SD, or rate% (n ). Significance test p�/ B/0.05 (x2 or variance test) for all three groups.
288 M. Berg et al.
management based on fetal growth combined with
high glycemic criteria. The treatment in our study
was based on strict maternal glycemic criteria, but
also included a high degree of women’s participation
in and responsibility for their own treatment. This
increased their consciousness of relationship be-
tween lifestyle (diet and physical activities) and
blood glucose level. They were also informed about
the increased risk for future type 2 diabetes and were
encouraged to continue the ‘healthy lifestyle’ and
strive for normal weight as a tool to prevent type 2
diabetes.
Our study included early universal screening for
GDM, which is found beneficial as it is associated
with a decrease in adverse fetal outcomes (23,24). As
a consequence of early screening and diagnosis, a
larger proportion of pregnant women in our study
started their treatment early compared with other
studies. This provided more time for intervention
before term, in contrast to a screening procedure and
intervention late in pregnancy. It has been shown
that early diagnosis of GDM is a predictor of adverse
maternal and neonatal outcome (23,25), and that
early intervention to improve glucose homeostasis
may prevent some complications commonly related
to pregestational diabetes (23).
It is well-known that GDM covaries with higher
BMI. The rising incidence of obesity in society is
apparent and frequently discussed and, furthermore,
one would expect a rising incidence of GDM in the
population. Moreover, the need for insulin treatment
was found to be much higher in obese patients in our
study. It has been suggested that intense insulin
treatment improves outcome in this group (26,27).
Our impression is that early screening, early
intervention and out-patient treatment by a multi-
disciplinary team, including specially trained dia-
betes midwives and a participative woman, is highly
beneficial. This model of care yields low rates of
excessive fetal growth, instrumental vaginal delivery
and caesarean section, comparable to those found in
other studies.
Acknowledgements
The study was supported by grants from Swedish
Diabetes Association.
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