Skip Navigation
Skip to contents

Diabetes Metab J : Diabetes & Metabolism Journal



Page Path
HOME > Search
1 "Peter Husslein"
Article category
Publication year
Original Article
Clinical Diabetes & Therapeutics
Early Assessment of the Risk for Gestational Diabetes Mellitus: Can Fasting Parameters of Glucose Metabolism Contribute to Risk Prediction?
Veronica Falcone, Grammata Kotzaeridi, Melanie Hanne Breil, Ingo Rosicky, Tina Stopp, Gülen Yerlikaya-Schatten, Michael Feichtinger, Wolfgang Eppel, Peter Husslein, Andrea Tura, Christian S. Göbl
Diabetes Metab J. 2019;43(6):785-793.   Published online March 12, 2019
  • 8,498 View
  • 83 Download
  • 21 Web of Science
  • 25 Crossref
AbstractAbstract PDFPubReader   

An early identification of the risk groups might be beneficial in reducing morbidities in patients with gestational diabetes mellitus (GDM). Therefore, this study aimed to assess the biochemical predictors of glycemic conditions, in addition to fasting indices of glucose disposal, to predict the development of GDM in later stage and the need of glucose-lowering medication.


A total of 574 pregnant females (103 with GDM and 471 with normal glucose tolerance [NGT]) were included. A metabolic characterization was performed before 15+6 weeks of gestation by assessing fasting plasma glucose (FPG), fasting insulin (FI), fasting C-peptide (FCP), and glycosylated hemoglobin (HbA1c). Thereafter, the patients were followed-up until the delivery.


Females with NGT had lower levels of FPG, FI, FCP, or HbA1c at the early stage of pregnancy, and therefore, showed an improved insulin action as compared to that in females who developed GDM. Higher fasting levels of FPG and FCP were associated with a higher risk of developing GDM. Moreover, the predictive accuracy of this metabolic profiling was also good to distinguish the patients who required glucose-lowering medications. Indices of glucose disposal based on C-peptide improved the predictive accuracy compared to that based on insulin. A modified quantitative insulin sensitivity check index (QUICKIc) showed the best differentiation in terms of predicting GDM (area under the receiver operating characteristics curve [ROC-AUC], 72.1%) or need for pharmacotherapy (ROC-AUC, 83.7%).


Fasting measurements of glucose and C-peptide as well as the surrogate indices of glycemic condition could be used for stratifying pregnant females with higher risk of GDM at the beginning of pregnancy.


Citations to this article as recorded by  
  • Maternal fasting serum C-peptide concentrations in the first and second trimesters and subsequent risk of gestational diabetes mellitus: A nested case-control study among Chinese women
    Chuanyu Zhao, Haiyan Liu, Yuzhi Deng, Hanbin Wu, Shuo Wang, Xinyi Lyu, Jueming Lei, Haishan Yang, Meina Hu, Yinzhu Zhao, Xu Ma, Xiaoxuan Zou, Ying Yang
    Diabetes Research and Clinical Practice.2024; 208: 111111.     CrossRef
  • Future clinical prospects of C-peptide testing in the early diagnosis of gestational diabetes
    Charalampos Milionis, Ioannis Ilias, Anastasia Lekkou, Evangelia Venaki, Eftychia Koukkou
    World Journal of Experimental Medicine.2024;[Epub]     CrossRef
  • Early prediction of gestational diabetes mellitus using maternal demographic and clinical risk factors
    Yanqi Wu, Paul Hamelmann, Myrthe van der Ven, Sima Asvadi, M. Beatrijs van der Hout-van der Jagt, S. Guid Oei, Massimo Mischi, Jan Bergmans, Xi Long
    BMC Research Notes.2024;[Epub]     CrossRef
  • First-trimester fasting plasma glucose as a predictor of subsequent gestational diabetes mellitus and adverse fetomaternal outcomes: A systematic review and meta-analysis
    Saptarshi Bhattacharya, Lakshmi Nagendra, Deep Dutta, Sunetra Mondal, Sowrabha Bhat, John Michael Raj, Hiya Boro, A.B.M. Kamrul-Hasan, Sanjay Kalra
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2024; 18(6): 103051.     CrossRef
  • Gestationsdiabetes (GDM) (Update 2023)
    Alexandra Kautzky-Willer, Yvonne Winhofer, Herbert Kiss, Veronica Falcone, Angelika Berger, Monika Lechleitner, Raimund Weitgasser, Jürgen Harreiter
    Wiener klinische Wochenschrift.2023; 135(S1): 115.     CrossRef
  • MIDO GDM: an innovative artificial intelligence-based prediction model for the development of gestational diabetes in Mexican women
    Héctor Gallardo-Rincón, María Jesús Ríos-Blancas, Janinne Ortega-Montiel, Alejandra Montoya, Luis Alberto Martinez-Juarez, Julieta Lomelín-Gascón, Rodrigo Saucedo-Martínez, Ricardo Mújica-Rosales, Victoria Galicia-Hernández, Linda Morales-Juárez, Lucía Ma
    Scientific Reports.2023;[Epub]     CrossRef
  • Progress in the Prediction of Gestational Diabetes Mellitus by the Combined Detection of Fasting Blood Glucose and Hemoglobin in Early Pregnancy
    欢欢 赵
    Advances in Clinical Medicine.2023; 13(06): 9980.     CrossRef
  • HOMA‐IR as a risk factor of gestational diabetes mellitus and a novel simple surrogate index in early pregnancy
    Shuoning Song, Yuemei Zhang, Xiaolin Qiao, Yanbei Duo, Jiyu Xu, Zhenyao Peng, Jing Zhang, Yan Chen, Xiaorui Nie, Qiujin Sun, Xianchun Yang, Zechun Lu, Shixuan Liu, Tianyi Zhao, Tao Yuan, Yong Fu, Yingyue Dong, Weigang Zhao, Wei Sun, Ailing Wang
    International Journal of Gynecology & Obstetrics.2022; 157(3): 694.     CrossRef
  • The diagnostic value of glycosylated hemoglobin for gestational diabetes mellitus in Asian populations: A systematic review and meta‐analysis
    Jiani Zhang, Fan Zhou, Tingting Xu, Jinfeng Xu, Yaqian Li, Li Lin, Qi Cao, Xiaodong Wang
    Journal of Obstetrics and Gynaecology Research.2022; 48(4): 902.     CrossRef
  • Postprandial Free Fatty Acids at Mid-Pregnancy Increase the Risk of Large-for-Gestational-Age Newborns in Women with Gestational Diabetes Mellitus
    So-Yeon Kim, Young Shin Song, Soo-Kyung Kim, Yong-Wook Cho, Kyung-Soo Kim
    Diabetes & Metabolism Journal.2022; 46(1): 140.     CrossRef
  • Gestational Diabetes Mellitus in Pregnant Women with Beta-Thalassemia Minor: A Matched Case-Control Study
    Veronica Falcone, Florian Heinzl, Bianca Karla Itariu, Theresa Reischer, Stephanie Springer, Dana Anaïs Muin, Petra Pateisky, Philipp Foessleitner, Johannes Ott, Alex Farr, Klara Rosta
    Journal of Clinical Medicine.2022; 11(7): 2050.     CrossRef
  • Maternal metabolic factors and the association with gestational diabetes: A systematic review and meta‐analysis
    Nahal Habibi, Aya Mousa, Chau Thien Tay, Mahnaz Bahri Khomami, Rhiannon K. Patten, Prabha H. Andraweera, Molla Wassie, Jared Vandersluys, Ali Aflatounian, Tina Bianco‐Miotto, Shao J. Zhou, Jessica A. Grieger
    Diabetes/Metabolism Research and Reviews.2022;[Epub]     CrossRef
  • Impact Of Prepregnancy Overweight And Obesity On Treatment Modality And Pregnancy Outcome In Women With Gestational Diabetes Mellitus
    Tina Linder, Anna Eder, Cécile Monod, Ingo Rosicky, Daniel Eppel, Katharina Redling, Franziska Geissler, Evelyn A. Huhn, Irene Hösli, Christian S. Göbl
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Identification of potential gene markers in gestational diabetes mellitus
    Weichun Tang, Xiaoyu Wang, Liping Chen, Yiling Lu, Xinyi Kang
    Journal of Clinical Laboratory Analysis.2022;[Epub]     CrossRef
  • Association between early-pregnancy serum C-peptide and risk of gestational diabetes mellitus: a nested case–control study among Chinese women
    Xue Yang, Yi Ye, Yi Wang, Ping Wu, Qi Lu, Yan Liu, Jiaying Yuan, Xingyue Song, Shijiao Yan, Xiaorong Qi, Yi-Xin Wang, Ying Wen, Gang Liu, Chuanzhu Lv, Chun-Xia Yang, An Pan, Jianli Zhang, Xiong-Fei Pan
    Nutrition & Metabolism.2022;[Epub]     CrossRef
  • Early Predictors of Gestational Diabetes Mellitus in IVF-Conceived Pregnancies
    Ayla Coussa, Hayder A. Hasan, Thomas M. Barber
    Endocrine Practice.2021; 27(6): 579.     CrossRef
  • The Clinical Characteristics of Gestational Diabetes Mellitus in Korea: A National Health Information Database Study
    Kyung-Soo Kim, Sangmo Hong, Kyungdo Han, Cheol-Young Park
    Endocrinology and Metabolism.2021; 36(3): 628.     CrossRef
  • Early Gestational Diabetes Mellitus: Diagnostic Strategies and Clinical Implications
    Saptarshi Bhattacharya, Lakshmi Nagendra, Aishwarya Krishnamurthy, Om J. Lakhani, Nitin Kapoor, Bharti Kalra, Sanjay Kalra
    Medical Sciences.2021; 9(4): 59.     CrossRef
  • Early markers of gestational diabetes mellitus
    Vedrana Ivić, Jasenka Wagner, Andrijana Müller, Lada Zibar, Marta Kadivnik, Barbara Viljetić, Jelena Omazić
    Biochemia medica.2021; 31(3): 416.     CrossRef
  • Response: Early Assessment of the Risk for Gestational Diabetes Mellitus: Can Fasting Parameters of Glucose Metabolism Contribute to Risk Prediction? (Diabetes Metab J 2019;43:785–93)
    Christian S. Göbl, Andrea Tura
    Diabetes & Metabolism Journal.2020; 44(1): 209.     CrossRef
  • First-trimester fasting glycemia as a predictor of gestational diabetes (GDM) and adverse pregnancy outcomes
    G. Sesmilo, P. Prats, S. Garcia, I. Rodríguez, A. Rodríguez-Melcón, I. Berges, B. Serra
    Acta Diabetologica.2020; 57(6): 697.     CrossRef
  • Letter: Early Assessment of the Risk for Gestational Diabetes Mellitus: Can Fasting Parameters of Glucose Metabolism Contribute to Risk Prediction? (Diabetes Metab J 2019;43:785–93)
    Ye Seul Yang, Hye Seung Jung
    Diabetes & Metabolism Journal.2020; 44(1): 199.     CrossRef
  • Auch schon im 1. Trimenon ist Nüchternglukose Prädiktor für Gestationsdiabetes
    Jens Stupin
    Info Diabetologie.2020; 14(2): 14.     CrossRef
  • Comparison of Machine Learning Methods and Conventional Logistic Regressions for Predicting Gestational Diabetes Using Routine Clinical Data: A Retrospective Cohort Study
    Yunzhen Ye, Yu Xiong, Qiongjie Zhou, Jiangnan Wu, Xiaotian Li, Xirong Xiao
    Journal of Diabetes Research.2020; 2020: 1.     CrossRef
  • Predictive Power of Unconjugated Estriol in Diagnosis of Gestational Diabetes: A Cohort Study
    Azam Amirian, Nourossadat Kariman, Mehdi Hedayati, Nasrin Borumandnia, Zohre Sheikhan
    Iranian Red Crescent Medical Journal.2019;[Epub]     CrossRef

Diabetes Metab J : Diabetes & Metabolism Journal
Close layer