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Angela Köninger Department of Gynecology and Obstetrics, University of Duisburg-Essen, Essen, Germany

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Antonella Iannaccone Department of Gynecology and Obstetrics, University of Duisburg-Essen, Essen, Germany

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Ensar Hajder Department of Gynecology and Obstetrics, University of Duisburg-Essen, Essen, Germany

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Mirjam Frank Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), University of Duisburg-Essen, Essen, Germany

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Boerge Schmidt Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), University of Duisburg-Essen, Essen, Germany

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Ekkehard Schleussner Department of Obstetrics, Jena University Hospital, Jena, Germany

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Rainer Kimmig Department of Gynecology and Obstetrics, University of Duisburg-Essen, Essen, Germany

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Alexandra Gellhaus Department of Gynecology and Obstetrics, University of Duisburg-Essen, Essen, Germany

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Hans Dieplinger Division of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria

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only ( 3 ). However, this test requires high-quality standards in performance and pre-analytics. In the light of a large proportion of lean PCOS patients also suffering from IR ( 10 ), the role of IR screening before the onset of pregnancy needs further

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-19-0064
Volume/Issue:
Volume 8: Issue 5
Open access
Fiona Broughton Pipkin Department of Obstetrics and Gynaecology, Department of Nephrology, Leicester Royal Infirmary, School of Medicine, University of Nottingham, Nottingham, NG5 1PB, UK

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Hiten D Mistry Department of Obstetrics and Gynaecology, Department of Nephrology, Leicester Royal Infirmary, School of Medicine, University of Nottingham, Nottingham, NG5 1PB, UK

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Chandrima Roy Department of Obstetrics and Gynaecology, Department of Nephrology, Leicester Royal Infirmary, School of Medicine, University of Nottingham, Nottingham, NG5 1PB, UK

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Bernhard Dick Department of Obstetrics and Gynaecology, Department of Nephrology, Leicester Royal Infirmary, School of Medicine, University of Nottingham, Nottingham, NG5 1PB, UK

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Jason Waugh Department of Obstetrics and Gynaecology, Department of Nephrology, Leicester Royal Infirmary, School of Medicine, University of Nottingham, Nottingham, NG5 1PB, UK

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Rebecca Chikhi Department of Obstetrics and Gynaecology, Department of Nephrology, Leicester Royal Infirmary, School of Medicine, University of Nottingham, Nottingham, NG5 1PB, UK

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Lesia O Kurlak Department of Obstetrics and Gynaecology, Department of Nephrology, Leicester Royal Infirmary, School of Medicine, University of Nottingham, Nottingham, NG5 1PB, UK

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Markus G Mohaupt Department of Obstetrics and Gynaecology, Department of Nephrology, Leicester Royal Infirmary, School of Medicine, University of Nottingham, Nottingham, NG5 1PB, UK

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mechanisms associated with a successful transition to extrauterine life (1, 2, 3, 4) . Frequently, intrauterine growth restriction (IUGR) and premature delivery are due to pre-eclampsia (5) , a pregnancy-specific syndrome occurring in ∼3% of all pregnancies

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-15-0084
Volume/Issue:
Volume 4: Issue 4
Open access
Thorben Hoffmann Department of Pediatrics, and Adolescent Medicine, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany

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Yousef Ashraf Tawfik Morcos Department of Pediatrics, and Adolescent Medicine, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany
Center for Biochemistry, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany

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Ruth Janoschek Department of Pediatrics, and Adolescent Medicine, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany

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Eva-Maria Turnwald Department of Pediatrics, and Adolescent Medicine, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany

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Antje Gerken Department of Pediatrics, and Adolescent Medicine, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany
Center for Biochemistry, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany

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Annette Müller Center for Pediatric Pathology at the University Hospital Cologne, Cologne, Germany

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Gerhard Sengle Department of Pediatrics, and Adolescent Medicine, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany
Center for Biochemistry, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
Cologne Center for Musculoskeletal Biomechanics (CCMB), Cologne, Germany

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Jörg Dötsch Department of Pediatrics, and Adolescent Medicine, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany

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Sarah Appel Department of Pediatrics, and Adolescent Medicine, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany

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Eva Hucklenbruch-Rother Department of Pediatrics, and Adolescent Medicine, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany

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. Journal of Clinical Endocrinology and Metabolism 2007 92 969 – 975 . ( https://doi.org/10.1210/jc.2006-2083 ) 12 Van Lieshout RJ Taylor VH Boyle MH . Pre‐pregnancy and pregnancy obesity and neurodevelopmental outcomes in offspring: a systematic

Article Type:
Research Article
Collections:
Bone and Mineral Metabolism
DOI:
https://doi.org/10.1530/EC-22-0069
Volume/Issue:
Volume 11: Issue 3
Open access
Sanna Mustaniemi Public Health Promotion Unit, National Institute for Health and Welfare, Helsinki, Finland
PEDEGO Research Unit, MRC Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland

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Marja Vääräsmäki Public Health Promotion Unit, National Institute for Health and Welfare, Helsinki, Finland
PEDEGO Research Unit, MRC Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland

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Johan G Eriksson Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
Folkhälsan Research Centre, Helsinki, Finland

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Mika Gissler Information Services Department, National Institute for Health and Welfare, Helsinki, Finland
Division of Family Medicine, Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden

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Hannele Laivuori Medical and Clinical Genetics, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
Department of Obstetrics and Gynaecology, Tampere University Hospital, Tampere, Finland
Faculty of Medicine and Life Sciences, University of Tampere, Tampere, Finland
Institute for Molecular Medicine Finland, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland

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Hilkka Ijäs Public Health Promotion Unit, National Institute for Health and Welfare, Helsinki, Finland
PEDEGO Research Unit, MRC Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland

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Aini Bloigu PEDEGO Research Unit, MRC Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland

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Eero Kajantie Public Health Promotion Unit, National Institute for Health and Welfare, Helsinki, Finland
PEDEGO Research Unit, MRC Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
Children’s Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland

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Laure Morin-Papunen PEDEGO Research Unit, MRC Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland

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-diabetic mothers were also included in the study. The GDM status of all participants was confirmed by their medical records: 12 women with pre-pregnancy diabetes were excluded. Sixteen women were recruited during two pregnancies, and their latter pregnancy was

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-18-0076
Volume/Issue:
Volume 7: Issue 7
Open access
Theodoros Karampitsakos Third Department of Obstetrics and Gynecology, ATTIKON University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
Unit of Endocrinology, Diabetes Mellitus and Metabolism, ARETAIEION University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece

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Fotini Kanouta Unit of Endocrinology, Diabetes Mellitus and Metabolism, First Department of Obstetrics and Gynecology, ALEXANDRA University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
Unit of Endocrinology, Diabetes Mellitus and Metabolism, ARETAIEION University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece

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Christos Chatzakis Second Department of Obstetrics and Gynecology, IPPOKRATEIO General Hospital of Thessaloniki, Aristotle, University of Thessaloniki, Athens, Greece

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Vassilios Bakoulas Athens, Greece

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Alexandros Gryparis Department of Speech and Language Therapy, University of Ioannina, Ioannina, Greece
Unit of Endocrinology, Diabetes Mellitus and Metabolism, ARETAIEION University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece

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Petros Drakakis Third Department of Obstetrics and Gynecology, ATTIKON University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece

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Djuro Macut Department of Endocrinology, Diabetes and Diseases of Metabolism, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
Unit of Endocrinology, Diabetes Mellitus and Metabolism, ARETAIEION University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece

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George Mastorakos Unit of Endocrinology, Diabetes Mellitus and Metabolism, ARETAIEION University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece

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regarding the effect of antenatal administration of sGCs on the timing of labor in the various sub-groups of pregnancies at high risk of pre-term labor, such as multiple pregnancies, premature rupture of membranes, fetal growth restriction, etc. If this

Article Type:
Review Article
Collections:
Reproduction
DOI:
https://doi.org/10.1530/EC-24-0057
Volume/Issue:
Volume 13: Issue 11
Open access
Yao Su Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Li Chen Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Dong-Yao Zhang Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Xu-Pei Gan Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Yan-Nan Cao Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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De-Cui Cheng Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Wen-Yu Liu Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Fei-Fei Li Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Xian-Ming Xu Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Hong-Kun Wang Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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indicates that they are obese ( 4 ). Pre-pregnancy BMI = weight (kg)/height (m 2 ). A diagnosis of GDM can be confirmed using a 75 g oral glucose tolerance test (OGTT), with blood glucose levels when fasting and 1 and 2 h after ingesting the glucose of ≥5

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-21-0433
Volume/Issue:
Volume 10: Issue 11
Open access
Vânia Benido Silva Department of Endocrinology, Centro Hospitalar Universitário do Porto, Porto, Portugal

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Liliana Fonseca Department of Endocrinology, Centro Hospitalar Universitário do Porto, Porto, Portugal

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Maria Teresa Pereira Department of Endocrinology, Centro Hospitalar Universitário do Porto, Porto, Portugal

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Joana Vilaverde Department of Endocrinology, Centro Hospitalar Universitário do Porto, Porto, Portugal

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Clara Pinto Department of Obstetrics, Centro Hospitalar Universitário do Porto, Porto, Portugal

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Fernando Pichel Department of Nutrition, Centro Hospitalar Universitário do Porto, Porto, Portugal

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Maria do Céu Almeida In representation of the Diabetes and Pregnancy Study Group of the Portuguese Society of Diabetology, Lisbon, Portugal

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Jorge Dores Department of Endocrinology, Centro Hospitalar Universitário do Porto, Porto, Portugal

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Introduction Gestational diabetes mellitus(GDM) is defined as a subtype of hyperglycemia first detected during pregnancy and accounts for 90% of all diabetes diagnoses in pregnant women ( 1 , 2 ). This represents a worrying gestational

Article Type:
Research Article
Collections:
Metabolic Syndrome and Diabetes
DOI:
https://doi.org/10.1530/EC-21-0540
Volume/Issue:
Volume 11: Issue 5
Open access
Chenyu Jiang Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China

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Mi Zhou Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China

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Huai Bai Laboratory of Genetic Disease and Perinatal Medicine, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China

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Meng Chen Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China

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Chunyi Yang Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China

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Kaifeng Hu Laboratory of Genetic Disease and Perinatal Medicine, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China

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Yujie Wu Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China

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Qingqing Liu Laboratory of Genetic Disease and Perinatal Medicine, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China

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Yangyu Zhao Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China

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Xinghui Liu Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China

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Ping Fan Laboratory of Genetic Disease and Perinatal Medicine, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China

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offspring ( 1 , 3 ). The pathogenesis of GDM is still unclear, but there is growing evidence that genetic variants, advanced maternal age, pre-pregnancy BMI, oxidative stress, chronic inflammation, dyslipidemia, unbalanced hormone secretion, and/or β

Article Type:
Research Article
Collections:
Metabolic Syndrome and Diabetes
DOI:
https://doi.org/10.1530/EC-22-0369
Volume/Issue:
Volume 12: Issue 3
Open access
Tianze Ding T Ding, Department of Clinical Nutrition, College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Peijie Liu P Liu, Department of Clinical Nutrition, College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Jie Jia J Jia, Department of Clinical Nutrition, College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Hui Wu H Wu, Department of Nutrition, Seventh People’s Hospital of shanghai University of Traditional Chinese Medicine, Shanghai, China

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Jie Zhu J Zhu, Nutrition and Foods Program, School of Family and Consumer Sciences, Texas State University, San Marcos, United States

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Kefeng Yang K Yang, Department of Clinical Nutrition, College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Introduction: Gestational diabetes mellitus (GDM) significantly affects pregnancy outcomes. Therefore, it is crucial to develop prediction models since they can guide timely interventions to reduce the incidence of GDM and its associated adverse effects.

Methods: A total of 554 pregnant women were selected and their sociodemographic characteristics, clinical data and dietary data were collected. Dietary data was investigated by a validated semi-quantitative food frequency questionnaire (FFQ). We applied random forest mean decrease impurity for feature selection and the models are built using Logistic Regression, XGBoost, and LightGBM algorithms. The prediction performance of different models was compared by Accuracy, Sensitivity, Specificity, Area Under Curve (AUC) and Hosmer-Lemeshow test.

Results: Blood glucose, age, pre-pregnancy body mass index (BMI), triglycerides and high-density lipoprotein cholesterol (HDL) were the top five features according to the feature selection. Among the three algorithms, XGBoost performed best with an AUC of 0.788, LightGBM came second (AUC = 0.749), and Logistic Regression performed the worst (AUC = 0.712). In addition, XGBoost and LightGBM both achieved a fairly good performance when dietary information was included, surpassing their performance on the non-dietary dataset (0.788 vs. 0.718 in XGBoost; 0.749 vs. 0.726 in LightGBM).

Conclusion: XGBoost and LightGBM algorithms outperform Logistic Regression in predicting GDM among the Chinese pregnant women. In addition, dietary data may have a positive effect on improving model performance, which deserves more in-depth investigation with larger sample size.

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-24-0169
Volume/Issue:
Accepted Manuscripts
Open access
Bogumila Urgatz Merck Healthcare KGaA, Darmstadt, Germany

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Kris G Poppe University Hospital CHU Saint Pierre, Free University of Brussels, Brussels, Belgium

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, shown by the dotted line in each panel), contained subjects with TSH 0.37–2.49 μIU/mL. Odds ratios were adjusted for pre-pregnancy maternal age, maternal education, location, pre-pregnancy body mass index, alcohol, passive smoking, history of thyroid

Article Type:
Review Article
Collections:
Thyroid
DOI:
https://doi.org/10.1530/EC-23-0420
Volume/Issue:
Volume 13: Issue 3
Open access