Skip to main content
Erschienen in: Diabetologia 1/2017

Open Access 18.10.2016 | Short Communication

Altered glucose profiles and risk for hypoglycaemia during oral glucose tolerance testing in pregnancies after gastric bypass surgery

verfasst von: Michael Feichtinger, Tina Stopp, Sandra Hofmann, Stephanie Springer, Sophie Pils, Alexandra Kautzky-Willer, Herbert Kiss, Wolfgang Eppel, Andrea Tura, Latife Bozkurt, Christian S. Göbl

Erschienen in: Diabetologia | Ausgabe 1/2017

download
DOWNLOAD
print
DRUCKEN
insite
SUCHEN

Abstract

Aims/hypothesis

A history of gastric bypass surgery can influence the results of the OGTT recommended during pregnancy. Therefore, we compared OGTT glucose kinetics and pregnancy outcome between pregnant gastric bypass patients and BMI-matched, lean and obese controls.

Methods

Medical records were used to collect data on glucose measurements during the 2 h 75 g OGTT as well as on pregnancy and fetal outcome for 304 women (n = 76 per group, matched for age and date of delivery).

Results

Women after bariatric surgery had lower fasting glucose levels compared with lean, obese and BMI-matched controls, and showed altered postprandial glucose kinetics, including a rise at 60 min followed by hypoglycaemia with serum glucose of <3.34 mmol/l (which occurred in 54.8%). Moreover, their risk of pre-eclampsia or gestational hypertension was reduced, with an increased risk of delivering small for gestational age infants.

Conclusions/interpretation

Alternative strategies to accurately define impaired glucose metabolism in pregnancies after bariatric surgery should be explored.
Begleitmaterial
Hinweise

Electronic supplementary material

The online version of this article (doi:10.​1007/​s00125-016-4128-8) contains peer-reviewed but unedited supplementary material, which is available to authorised users.
Abkürzungen
GDM
Gestational diabetes mellitus
IADPSG
International Association of Diabetes in Pregnancy Study Groups
LGA
Large for gestational age
SGA
Small for gestational age

Introduction

The International Association of Diabetes in Pregnancy Study Groups (IADPSG) 2010 criteria proposed performing an OGTT between the 24th and 28th week of gestation as the gold standard to diagnose gestational diabetes mellitus (GDM) [1]. After adoption of these criteria by other health-care organisations, some countries (e.g. Austria) implemented the OGTT as a mandatory examination in pregnancy. However, there might be populations in which this screening strategy is less effective or even harmful.
Nowadays, owing to the worldwide rising obesity prevalence, malabsorptive surgery (such as Roux-en-Y gastric bypass) is an emerging treatment that has beneficial effects on glucose metabolism [2]. As gastric bypass surgery is associated with an altered rise in the levels of nutrients (especially glucose), it can potentially influence the results of the OGTT and therefore the transferability of diagnostic guidelines [3]. To our knowledge, the extent of altered glucose kinetics in pregnancies following bariatric surgery and its specific impact on GDM diagnosis, as well as effects on the growing fetus, have not been thoroughly investigated until now.

Methods

Study participants
This retrospective cohort study included a total of 304 women who attended our pregnancy out-patient clinic between January 2007 and January 2016: 76 after gastric bypass surgery (i.e. all pregnant women for whom a history of gastric bypass surgery was reported in this period), 76 with preconceptional obesity (preconceptional BMI ≥30 kg/m2), 76 normal weight (preconceptional BMI 18–25 kg/m2) and 76 BMI-matched controls. The groups were additionally matched for maternal age and date of delivery. Medical records were used to collect data on maternal variables including results of the routinely performed 2 h 75 g OGTT examination (that measures fasting and 60 min and 120 min post-load glucose levels), as well as pregnancy outcome and infant body measures at delivery. Calculations of age- and sex-adjusted percentiles of the Austrian population were based on an analysis of the local growth standard curves. Large for gestational age (LGA) and small for gestational age (SGA) were defined as a bodyweight above the 90th percentile or below the 10th percentile, respectively. The study was approved by the local ethics committee.
Statistical analysis
Continuous and categorical variables were summarised as means ± SD (or medians [interquartile range]) and counts and percentages, respectively. Multiple comparisons (gastric bypass vs all other subgroups) were performed by ANOVA and Dunnett post hoc tests (for continuous variables) or Fisher’s exact test followed by the Bonferroni–Holm correction (for categorical variables) to achieve a 95% coverage probability.
Statistical analysis was performed with R (version 3.2.4, R Foundation for Statistical Computing, Vienna, Austria) and add-ons (multcomp, beeswarm and lattice). The two-sided significance level was set to 0.05.

Results

A description of the study population is provided in Table 1. While maternal age and parity were comparable among groups, we observed characteristic plasma glucose kinetics profiles during the OGTT. In particular, patients after bariatric surgery, who started with the lowest plasma glucose at fasting, showed a significant increase at 60 min following an oral glucose load. However, at 120 min after ingestion, glucose concentrations tended to decrease to below baseline levels in this subgroup. Postprandial hypoglycaemia (defined as a plasma glucose level of <3.34 mmol/l) was observed in 54.8% of pregnant women after gastric bypass surgery. Therefore, postprandial glucose kinetics in these patients were strikingly divergent compared with normal weight, BMI-matched and obese women; the latter group of obese women had no hypoglycaemic episodes but the highest risk of fasting and postprandial hyperglycaemia (Fig. 1). Accordingly, a diagnosis of GDM based on the IADPSG criteria was most commonly observed after 60 min in gastric bypass patients. When only fasting or 120 min glucose levels were considered, gastric bypass patients had a significantly lower incidence of GDM compared with obese and weight-matched controls. Postprandial hypoglycaemia at 120 min occurred in 39.3% of women with gastric bypass surgery, who exceeded the IADPSG thresholds at 60 min.
Table 1
Characteristics of the study population
Maternal/fetal characteristic
GBS
NW
BMIM
OB
n
Value
n
Value
n
Value
n
Value
Age, years
76
31.6 ± 6.3
76
31.5 ± 6.1
76
31.5 ± 5.5
76
31.6 ± 5.7
BMI, kg/m2
74
30.4 ± 5.9
76
21.8 ± 1.7*
76
30.0 ± 5.9
76
35.0 ± 4.3*
FG, mmol/l
62
4.16 ± 0.37
76
4.45 ± 0.57*
76
4.69 ± 0.52*
74
4.94 ± 0.63*
FG ≥ 5.1 mmol/l
62
0 (0.0)
76
5 (6.6)*
76
17 (22.4)*
74
26 (35.1)*
G-60, mmol/l
62
9.46 ± 2.41
76
7.42 ± 2.12*
76
8.16 ± 1.78*
74
8.93 ± 2.04
ΔG-60 (vs FG), mmol/l
62
5.30 ± 2.38
76
2.96 ± 1.95*
76
3.47 ± 1.79*
74
3.99 ± 1.78*
G-60 ≥ 10.0 mmol/l
62
27 (43.5)
76
10 (13.2)*
76
13 (17.1)*
74
27 (36.5)
G-120, mmol/l
62
3.72 ± 1.60
76
5.62 ± 1.41*
76
6.18 ± 1.68*
74
6.93 ± 1.79*
ΔG-120 (vs FG), mmol/l
62
−0.44 ± 1.55
76
1.16 ± 1.31*
76
1.49 ± 1.75*
74
2.00 ± 1.61*
G-120 ≥ 8.5 mmol/l
62
1 (1.6)
76
4 (5.3)
76
10 (13.2)*
74
14 (18.9)*
G-120 < 3.34 mmol/l
62
34 (54.8)
76
3 (3.9)*
76
1 (1.3)*
74
0 (0.0)*
GDMb (overall)
62
28 (45.2)
76
12 (15.8)*
76
31 (40.8)
74
39 (52.7)
GDMb (FG or G-60)
62
27 (43.5)
76
11 (14.5)*
76
27 (35.5)
74
38 (51.4)
GDMb (FG or G-120)
62
1 ( 1.6)
76
7 (9.2)
76
26 (34.2)*
74
34 (45.9)*
Insulin treatment
76
11 (14.5)
76
7 (9.2)
76
16 (21.1)
76
19 (25.0)
Hypertension or PE
72
1 (1.4)
76
5 (6.6)
76
6 (7.9)
76
11 (14.5)*
Parity
76
2 (1–3)
76
2 (1–2)
76
2 (1–2.25)
76
2 (1–3)
Reproductive medicine
76
5 (6.6)
76
7 (9.2)
76
4 (5.3)
76
5 (6.6)
Multiple pregnancy
76
7 (9.2)
76
8 (10.5)
76
13 (17.1)
76
8 (10.5)
Lung maturity inductiona
65
12 (18.5)
68
4 (5.9)
63
3 (4.8)
68
8 (11.8)
Induction of laboura
65
6 (9.2)
68
10 (14.7)
63
7 (11.1)
68
8 (11.8)
Caesarean sectiona
64
31 (48.4)
68
25 (36.8)
63
43 (68.3)
68
39 (57.4)
Neonatal intensive carea
64
7 (10.9)
68
5 (7.4)
63
5 (7.9)
68
5 (7.4)
GADa, weeks
64
39 (38–40)
68
40 (39–40)
63
39 (38–39)
68
39 (38–40)
Birthweighta, percentile
64
32.7 ± 26.3
68
44.7 ± 29.7*
63
51.7 ± 27.5*
66
52.2 ± 28.2*
Birth lengtha, percentile
62
37.2 ± 27.9
66
47.3 ± 28.1
61
51.3 ± 27.8*
66
44.3 ± 28.0
Heada, percentile
62
38.4 ± 26.3
68
39.0 ± 26.5
59
50.6 ± 30.2*
61
52.4 ± 28.4*
SGAa
64
18 (28.1)
68
11 (16.2)
63
7 (11.1)*
66
7 (10.6)*
LGAa
64
1 (1.6)
68
7 (10.3)
63
5 (7.9)
66
7 (10.6)
Data are n, means ± SD or medians (interquartile range) for continuous variables, and n (%) for categorical variables
aExcluding data for multiple pregnancies
bBased on IADPSG criteria
*p < 0.05 vs GBS
BMIM, BMI matched; FG, fasting plasma glucose level; G-60, plasma glucose level at 60 min after oral glucose load; G-120, plasma glucose level at 120 min after oral glucose load; GAD, gestational age at delivery; GBS, gastric bypass surgery patients; NW, normal weight; OB, obese controls; PE, pre-eclampsia
While the risk of pregnancy-induced hypertension or pre-eclampsia was lowest in patients with a history of gastric bypass surgery, no group-specific differences were found for obstetric outcome such as induction of labour, gestational age at delivery, or need of Caesarean section or neonatal intensive care. Of note, newborn infants of gastric bypass patients tended to be smaller with the highest risk of being SGA (electronic supplementary material Fig. 1). Maternal GDM status was not associated with increased birthweight percentiles (p = 0.901). Consequently, our conclusions remained the same after adjusting for GDM in multivariable analysis. Moreover, no interaction between a history of bariatric surgery and GDM status was found. Correlation analyses revealed that birthweight tended to be positively associated with fasting plasma glucose in women after gastric bypass (Spearman’s ρ = 0.29, p = 0.036), whereas this association was not observed for OGTT levels at 60 min or 120 min. Maternal hypoglycaemia at 120 min was not related to the risk of SGA offspring; however, the limited sample size has to be considered when drawing conclusions based on this finding.

Discussion

Our results indicate altered glucose kinetics profiles during an OGTT, including a distinctive rise in plasma glucose levels at 60 min followed by hypoglycaemic episodes, in more than a half of pregnant patients with history of gastric bypass surgery. Moreover, the risk of pre-eclampsia or gestational hypertension was found to be reduced (gastric bypass vs obese mothers), whereas the newborn infants of mothers with a history of gastric bypass had a lower birthweight and were at a higher risk of being SGA compared with those of obese and normal weight controls. The differences in glucose kinetics and neonatal outcome appear to be independent of BMI because differences were also seen with BMI-matched patients.
The pathophysiological mechanisms leading to hypoglycaemia in gastric bypass patients are not fully understood. Although reports of OGTT data during pregnancy are sparse, studies in non-pregnant women suggest that altered gastric glucose transit followed by increased incretin peptide release and exaggerated insulin secretion from pancreatic beta cells, might provide an explanation [4]. Although we cannot provide further insight into these pathophysiological issues owing to our retrospective study design, these results have raised some important questions about screening and the definition of GDM. Recently, Johansson et al provided detailed information on pregnancy outcomes after bariatric surgery, including a lower risk of GDM (1.9% vs 6.8%) and LGA infants, although the risk of SGA was increased [5]. However, one criticism is that the use of routinely performed 2 h OGTT examinations in some previous studies might be considered inappropriate to detect hyperglycaemia [6]. Using the IADPSG definition, we observed a markedly increased incidence of GDM in bariatric surgery patients with glucose excursions, particularly those occurring at 60 min. While the clinical implication of this observation has not been established, it should be kept in mind that the GDM incidence was lowest in gastric bypass patients when fasting glucose and 120 min glucose levels (and not 60 min glucose levels) were used to classify hyperglycaemia in this subgroup. In addition, women with a history of gastric bypass showed lower fasting glucose levels, indicating some glycaemic improvement compared with obese, BMI-matched and even normal weight controls. These factors might contribute to the lower number of pregnant gastric bypass patients suffering from gestational hypertension and pre-eclampsia [7]. However, the specific impact of higher glycaemic variability on the course of pregnancy and pregnancy outcome, as well as the causes of the high incidence of SGA offspring, requires further investigation.
An unresolved question is how pregnancy-related hyperglycaemia should be screened in the growing population of gastric bypass women. Fasting glucose examination might serve as an acceptable marker to rule out GDM. Its lack in sensitivity might be improved by additionally including data on the patients’ medical history and sociodemographic variables [8]. Moreover, frequent capillary blood glucose examinations [9] or even continuous subcutaneous glucose monitoring [10] might represent diagnostic alternatives. These methods have the major advantage of detecting postprandial hyper- or hypoglycaemic episodes in real-life conditions (which can hardly be achieved by a single OGTT examination).
The retrospective nature of our study is a possible limitation because we were not able to provide information on nutritional status and its possible impact on pregnancy outcome or glycaemic variability. Although these issues need to be addressed in prospective investigations (including nutritional protocols and long-term glucose monitoring), our study represents a first attempt to describe OGTT alterations in pregnancies following gastric bypass surgery and has possible implications for GDM diagnosis. One advantage is that we could generate a large sample of OGTT glucose profiles to compare with lean, obese and weight-matched controls.
Based on our results, we conclude that plasma glucose concentrations after an oral glucose load are severely altered in pregnant gastric bypass patients. As the clinical implications of this observation are not yet clear, the diagnostic accuracy of the IADPSG criteria needs to be further examined for use in prospective longitudinal studies in this group of patients. Moreover, the potential risk of hypoglycaemia following an oral glucose load should be considered and alternative strategies should be discussed to rule out hyperglycaemia in this growing high-risk population.

Acknowledgements

Open access funding provided by Medical University of Vienna.

Data availability

The datasets analysed during the current study are available from the corresponding author on request.

Funding

This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors.

Duality of interest statement

The authors declare that there is no duality of interest associated with this manuscript.

Contribution statement

MF, WE, LB and CSG conceived the study; data was assessed by MF, SS, SP, TS and SH; statistical analysis were performed by CSG, MF and AT and data interpretation was performed by CSG, MF, AT, LB, HK and AKW; CSG and MF prepared the table and figures; and the manuscript was written by MF and CSG and critically revised by LB, TS, HK, AKW and AT. All authors reviewed the final draft of the manuscript and gave final approval of the version to be published. CSG is the guarantor of this work.
Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Unsere Produktempfehlungen

e.Med Interdisziplinär

Kombi-Abonnement

Für Ihren Erfolg in Klinik und Praxis - Die beste Hilfe in Ihrem Arbeitsalltag

Mit e.Med Interdisziplinär erhalten Sie Zugang zu allen CME-Fortbildungen und Fachzeitschriften auf SpringerMedizin.de.

e.Med Innere Medizin

Kombi-Abonnement

Mit e.Med Innere Medizin erhalten Sie Zugang zu CME-Fortbildungen des Fachgebietes Innere Medizin, den Premium-Inhalten der internistischen Fachzeitschriften, inklusive einer gedruckten internistischen Zeitschrift Ihrer Wahl.

e.Med Allgemeinmedizin

Kombi-Abonnement

Mit e.Med Allgemeinmedizin erhalten Sie Zugang zu allen CME-Fortbildungen und Premium-Inhalten der allgemeinmedizinischen Zeitschriften, inklusive einer gedruckten Allgemeinmedizin-Zeitschrift Ihrer Wahl.

Anhänge

Electronic supplementary material

Below is the link to the electronic supplementary material.
Literatur
1.
Zurück zum Zitat Metzger BE, Gabbe SG, Persson B et al (2010) International association of diabetes and pregnancy study groups recommendations on the diagnosis and classification of hyperglycaemia in pregnancy. Diabetes Care 33:676–682CrossRefPubMed Metzger BE, Gabbe SG, Persson B et al (2010) International association of diabetes and pregnancy study groups recommendations on the diagnosis and classification of hyperglycaemia in pregnancy. Diabetes Care 33:676–682CrossRefPubMed
2.
Zurück zum Zitat Cummings DE, Arterburn DE, Westbrook EO et al (2016) Gastric bypass surgery vs intensive lifestyle and medical intervention for type 2 diabetes: the CROSSROADS randomised controlled trial. Diabetologia 59:945–953CrossRefPubMed Cummings DE, Arterburn DE, Westbrook EO et al (2016) Gastric bypass surgery vs intensive lifestyle and medical intervention for type 2 diabetes: the CROSSROADS randomised controlled trial. Diabetologia 59:945–953CrossRefPubMed
3.
Zurück zum Zitat Dirksen C, Jorgensen NB, Bojsen-Moller KN et al (2012) Mechanisms of improved glycaemic control after Roux-en-Y gastric bypass. Diabetologia 55:1890–1901CrossRefPubMed Dirksen C, Jorgensen NB, Bojsen-Moller KN et al (2012) Mechanisms of improved glycaemic control after Roux-en-Y gastric bypass. Diabetologia 55:1890–1901CrossRefPubMed
4.
Zurück zum Zitat Rodieux F, Giusti V, D’Alessio DA, Suter M, Tappy L (2008) Effects of gastric bypass and gastric banding on glucose kinetics and gut hormone release. Obesity 16:298–305CrossRefPubMed Rodieux F, Giusti V, D’Alessio DA, Suter M, Tappy L (2008) Effects of gastric bypass and gastric banding on glucose kinetics and gut hormone release. Obesity 16:298–305CrossRefPubMed
5.
Zurück zum Zitat Johansson K, Cnattingius S, Naslund I et al (2015) Outcomes of pregnancy after bariatric surgery. N Engl J Med 372:814–824CrossRefPubMed Johansson K, Cnattingius S, Naslund I et al (2015) Outcomes of pregnancy after bariatric surgery. N Engl J Med 372:814–824CrossRefPubMed
6.
Zurück zum Zitat Gonzalez I, Rubio MA, Cordido F et al (2015) Maternal and perinatal outcomes after bariatric surgery: a Spanish multicenter study. Obes Surg 25:436–442CrossRefPubMed Gonzalez I, Rubio MA, Cordido F et al (2015) Maternal and perinatal outcomes after bariatric surgery: a Spanish multicenter study. Obes Surg 25:436–442CrossRefPubMed
7.
Zurück zum Zitat Carpenter MW (2007) Gestational diabetes, pregnancy hypertension, and late vascular disease. Diabetes Care 30(Suppl 2):S246–S250CrossRefPubMed Carpenter MW (2007) Gestational diabetes, pregnancy hypertension, and late vascular disease. Diabetes Care 30(Suppl 2):S246–S250CrossRefPubMed
8.
Zurück zum Zitat Göbl CS, Bozkurt L, Rivic P et al (2012) A two-step screening algorithm including fasting plasma glucose measurement and a risk estimation model is an accurate strategy for detecting gestational diabetes mellitus. Diabetologia 55:3173–3181CrossRefPubMed Göbl CS, Bozkurt L, Rivic P et al (2012) A two-step screening algorithm including fasting plasma glucose measurement and a risk estimation model is an accurate strategy for detecting gestational diabetes mellitus. Diabetologia 55:3173–3181CrossRefPubMed
9.
Zurück zum Zitat Allard C, Sahyouni E, Menard J et al (2015) Gestational diabetes mellitus identification based on self-monitoring of blood glucose. Can J Diabetes 39:162–168CrossRefPubMed Allard C, Sahyouni E, Menard J et al (2015) Gestational diabetes mellitus identification based on self-monitoring of blood glucose. Can J Diabetes 39:162–168CrossRefPubMed
10.
Zurück zum Zitat Bonis C, Lorenzini F, Bertrand M et al (2016) Glucose profiles in pregnant women after a gastric bypass: findings from continuous glucose monitoring. Obes Surg 26:2150–2155CrossRefPubMed Bonis C, Lorenzini F, Bertrand M et al (2016) Glucose profiles in pregnant women after a gastric bypass: findings from continuous glucose monitoring. Obes Surg 26:2150–2155CrossRefPubMed
Metadaten
Titel
Altered glucose profiles and risk for hypoglycaemia during oral glucose tolerance testing in pregnancies after gastric bypass surgery
verfasst von
Michael Feichtinger
Tina Stopp
Sandra Hofmann
Stephanie Springer
Sophie Pils
Alexandra Kautzky-Willer
Herbert Kiss
Wolfgang Eppel
Andrea Tura
Latife Bozkurt
Christian S. Göbl
Publikationsdatum
18.10.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
Diabetologia / Ausgabe 1/2017
Print ISSN: 0012-186X
Elektronische ISSN: 1432-0428
DOI
https://doi.org/10.1007/s00125-016-4128-8

Weitere Artikel der Ausgabe 1/2017

Diabetologia 1/2017 Zur Ausgabe

Leitlinien kompakt für die Innere Medizin

Mit medbee Pocketcards sicher entscheiden.

Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag

Update Innere Medizin

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.