Literature DB >> 28324453

Analysis of the main risk factors for gestational diabetes diagnosed with International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria in multiple pregnancies.

M Cozzolino1, C Serena2, L Maggio2, M P Rambaldi2, S Simeone2, G Mello3, L Pasquini2, M Di Tommaso3, F Mecacci2.   

Abstract

INTRODUCTION: The aim is to investigate the proportion of multiple pregnancies with gestational diabetes mellitus (GDM) diagnosed using the International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria and to identify the impact of age, body mass index (BMI), and mode of conception on incidence of GDM.
MATERIALS AND METHODS: This is a single center, retrospective cohort study on 656 multiple pregnancies screened for GDM with 75-g, 2-h oral glucose tolerance test at 24-28 weeks of gestation, between January 2010 and January 2016. The diagnosis of gestational diabetes mellitus (GDM) was reached through the IADPSG.
RESULTS: The incidence of GDM in our population was 15.1%. When patients who conceived through heterologous assisted reproduction technology were compared with those who conceived spontaneously, there was a significant difference for GDM (31.1 vs 13.6%, p < 0.001, OR 2.86). A similar finding was also observed comparing egg donation IVF/ICSI patients with homologous IVF/ICSI patients (31.1 vs 14.8%, p = 0.006, OR 2.59). Incidence of GDM was significantly higher in obese than in non-obese patients (42.5 vs 14.8%, p < 0.001, OR 4.88) and in women over 35 compared to younger patients (18.4 vs 11.1%, p = 0.01, OR 1.81). Logistic regression comparing the diabetes onset with conception mode gave a p = 0.07. The calculation of the Chi-square and odds ratio for single mode of conception showed that homologous vs conceived spontaneously p = 0.90, OR 0.97, heterologous vs homologous p = 0.01 with OR 2.46, and heterologous vs conceived spontaneously p = 0.01 with OR 2.39. Logistic regression showed that age and BMI are risk factors for developing GDM, respectively, p = 0.03 with OR 1.4 and p < 0.01 and OR 1.09. DISCUSSION: The contribution our study can make is improved counseling about GDM risks for couples with multiple pregnancies. Our data support the role of age, BMI, and mode of conception as risk factors for GDM in multiple pregnancies.

Entities:  

Keywords:  Assisted reproduction technology; Gestational diabetes mellitus; IADPSG criteria; Multiple pregnancies

Mesh:

Year:  2017        PMID: 28324453     DOI: 10.1007/s40618-017-0646-6

Source DB:  PubMed          Journal:  J Endocrinol Invest        ISSN: 0391-4097            Impact factor:   4.256


  31 in total

Review 1.  Advanced maternal age and adverse perinatal outcome: a review of the evidence.

Authors:  Mary Carolan; Dorota Frankowska
Journal:  Midwifery       Date:  2010-10-02       Impact factor: 2.372

2.  Gestational diabetes in IVF and spontaneous pregnancies.

Authors:  Monika Szymanska; Edyta Horosz; Iwona Szymusik; Dorota Bomba-Opon; Miroslaw Wielgos
Journal:  Neuro Endocrinol Lett       Date:  2011       Impact factor: 0.765

3.  The paradox of declining fertility but increasing twinning rates with advancing maternal age.

Authors:  S N Beemsterboer; R Homburg; N A Gorter; R Schats; P G A Hompes; C B Lambalk
Journal:  Hum Reprod       Date:  2006-02-23       Impact factor: 6.918

Review 4.  Neonatal outcomes of assisted and naturally conceived twins: systematic review and meta-analysis.

Authors:  A Cristina Rossi; Vincenzo D'Addario
Journal:  J Perinat Med       Date:  2011-07-18       Impact factor: 1.901

5.  Utilization of International Association of Diabetes and Pregnancy Study Groups criteria vs. a two-step approach to screening for gestational diabetes mellitus in Chinese women with twin pregnancies.

Authors:  X Liu; Y Chen; Q Zhou; H Shi; W W Cheng
Journal:  Diabet Med       Date:  2014-12-12       Impact factor: 4.359

6.  Preeclampsia in twin pregnancies: incidence and outcome.

Authors:  D M Campbell; I MacGillivray
Journal:  Hypertens Pregnancy       Date:  1999       Impact factor: 2.108

Review 7.  Obstetric and perinatal outcomes in singleton pregnancies resulting from IVF/ICSI: a systematic review and meta-analysis.

Authors:  Shilpi Pandey; Ashalatha Shetty; Mark Hamilton; Siladitya Bhattacharya; Abha Maheshwari
Journal:  Hum Reprod Update       Date:  2012-05-19       Impact factor: 15.610

8.  Maternal plasma concentrations of insulin-like growth factor-I (IGF-I) and human placental lactogen (hPL) in twin pregnancies.

Authors:  R R Kazer; E R Cheng; T G Unterman; R P Glick
Journal:  Acta Genet Med Gemellol (Roma)       Date:  1991

9.  Carbohydrate metabolism in twin pregnancy.

Authors:  R S Naicker; K T Subrayen; I Jialal; J Moodley; A van Middelkoop
Journal:  S Afr Med J       Date:  1983-04-02

10.  High blood pressure before and during early pregnancy is associated with an increased risk of gestational diabetes mellitus.

Authors:  Monique M Hedderson; Assiamira Ferrara
Journal:  Diabetes Care       Date:  2008-09-22       Impact factor: 17.152

View more
  13 in total

Review 1.  Low maternal circulating levels of vitamin D as potential determinant in the development of gestational diabetes mellitus.

Authors:  S Triunfo; A Lanzone; P G Lindqvist
Journal:  J Endocrinol Invest       Date:  2017-05-29       Impact factor: 4.256

2.  Abnormal 1-hour post-load glycemia during pregnancy impairs post-partum metabolic status: a single-center experience.

Authors:  A Tumminia; A Milluzzo; F Cinti; M Parisi; F Tata; F Frasca; L Frittitta; R Vigneri; L Sciacca
Journal:  J Endocrinol Invest       Date:  2017-10-24       Impact factor: 4.256

3.  Higher odds of gestational diabetes among women with multiple pregnancies: a nationwide register-based cohort study in Finland.

Authors:  Matias Vaajala; Rasmus Liukkonen; Ville Ponkilainen; Maiju Kekki; Ville M Mattila; Ilari Kuitunen
Journal:  Acta Diabetol       Date:  2022-10-11       Impact factor: 4.087

4.  Impact of risk factors for gestational diabetes (GDM) on pregnancy outcomes in women with GDM.

Authors:  T Filardi; F Tavaglione; M Di Stasio; V Fazio; A Lenzi; S Morano
Journal:  J Endocrinol Invest       Date:  2017-11-17       Impact factor: 4.256

5.  Risk factors and adverse maternal and perinatal outcomes for women with dichorionic twin pregnancies complicated by gestational diabetes mellitus: A retrospective cross-sectional study.

Authors:  Tai-Ho Hung; T'sang-T'ang Hsieh; Steven W Shaw; Chan Kok Seong; Szu-Fu Chen
Journal:  J Diabetes Investig       Date:  2020-11-16       Impact factor: 4.232

6.  MicroRNA-351 eases insulin resistance and liver gluconeogenesis via the PI3K/AKT pathway by inhibiting FLOT2 in mice of gestational diabetes mellitus.

Authors:  Shu-Hong Chen; Xiao-Nan Liu; Yan Peng
Journal:  J Cell Mol Med       Date:  2019-07-09       Impact factor: 5.310

7.  The relationship between vitamin D and insulin resistance before delivery in advanced maternal age.

Authors:  Beibei Dong; Mengmeng Zhi; Manman Han; Hao Lin; Hong Yu; Ling Li
Journal:  Reprod Biol Endocrinol       Date:  2019-12-18       Impact factor: 5.211

Review 8.  Review on the prevalence of diabetes and risk factors and situation of disease management in floating population in China.

Authors:  Kaiyi Han; Jingjing Yao; Xiao Yin; Mei Zhao; Qiang Sun
Journal:  Glob Health Res Policy       Date:  2017-11-08

9.  The association of body composition with the risk of gestational diabetes mellitus in Chinese pregnant women: A case-control study.

Authors:  Yan Wang; Bi-Ru Luo
Journal:  Medicine (Baltimore)       Date:  2019-10       Impact factor: 1.817

10.  Gestational Diabetes Mellitus in Europe: A Systematic Review and Meta-Analysis of Prevalence Studies.

Authors:  Marília Silva Paulo; Noor Motea Abdo; Rita Bettencourt-Silva; Rami H Al-Rifai
Journal:  Front Endocrinol (Lausanne)       Date:  2021-12-09       Impact factor: 6.055

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.