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Tianze Ding
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
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
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
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
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
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.
Jing Wang
Jing Wang
Tianjin Women’s and Children’s Health Center Tianjin, China
Chronic Disease Epidemiology Laboratory Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
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Chronic Disease Epidemiology Laboratory Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
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Leishen Wang
Leishen Wang
Tianjin Women’s and Children’s Health Center Tianjin, China
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Huikun Liu
Huikun Liu
Tianjin Women’s and Children’s Health Center Tianjin, China
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Shuang Zhang
Shuang Zhang
Tianjin Women’s and Children’s Health Center Tianjin, China
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Junhong Leng
Junhong Leng
Tianjin Women’s and Children’s Health Center Tianjin, China
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Weiqin Li
Weiqin Li
Tianjin Women’s and Children’s Health Center Tianjin, China
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Tao Zhang
Tao Zhang
Tianjin Women’s and Children’s Health Center Tianjin, China
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Nan Li
Nan Li
Tianjin Women’s and Children’s Health Center Tianjin, China
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Wei Li
Wei Li
Tianjin Women’s and Children’s Health Center Tianjin, China
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Andrea A Baccarelli
Andrea A Baccarelli
Department of Environmental Health Sciences Columbia University Mailman School of Public Health, New York, New York, USA
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Lifang Hou
Lifang Hou
Department of Preventive Medicine Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
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Gang Hu
Gang Hu
Chronic Disease Epidemiology Laboratory Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
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Introduction The worldwide rise in over-nutrition, sedentary life and obesity has resulted in a steep increase in the number of women who develop gestational diabetes mellitus (GDM) during pregnancy ( 1 ). Nearly 7% of pregnancies in the
Sanna Mustaniemi
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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PEDEGO Research Unit, MRC Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
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Marja Vääräsmäki
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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PEDEGO Research Unit, MRC Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
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Johan G Eriksson
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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Folkhälsan Research Centre, Helsinki, Finland
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Mika Gissler
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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Division of Family Medicine, Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden
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Hannele Laivuori
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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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
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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PEDEGO Research Unit, MRC Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
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Aini Bloigu
Aini Bloigu
PEDEGO Research Unit, MRC Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
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Eero Kajantie
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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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
Laure Morin-Papunen
PEDEGO Research Unit, MRC Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
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Introduction Gestational diabetes mellitus (GDM) and polycystic ovary syndrome (PCOS) are the most common endocrine disorders in women of reproductive age. The prevalence of GDM varies from 9% to 25% and the prevalence of PCOS varies from 5
Yuanyuan Li
Yuanyuan Li
Department of Endocrinology, Inner Mongolia People’s Hospital, Hohhot, Inner Mongolia, China
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Dongmei Li
Dongmei Li
Department of Endocrinology, Inner Mongolia People’s Hospital, Hohhot, Inner Mongolia, China
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Xingbo Cheng
Xingbo Cheng
Department of Endocrinology, The First Affiliated Hospital of Soochow University, Suzhou, China
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Introduction The burgeoning epidemic of gestational diabetes mellitus (GDM) threatens maternal and infant health. GDM is characterized by glucose intolerance, which causes poorly controlled diabetes during pregnancy. Insulin resistance is an
Angela Köninger
Angela Köninger
Department of Gynecology and Obstetrics, University of Duisburg-Essen, Essen, Germany
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Antonella Iannaccone
Antonella Iannaccone
Department of Gynecology and Obstetrics, University of Duisburg-Essen, Essen, Germany
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Ensar Hajder
Ensar Hajder
Department of Gynecology and Obstetrics, University of Duisburg-Essen, Essen, Germany
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Mirjam Frank
Mirjam Frank
Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), University of Duisburg-Essen, Essen, Germany
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Boerge Schmidt
Boerge Schmidt
Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), University of Duisburg-Essen, Essen, Germany
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Ekkehard Schleussner
Ekkehard Schleussner
Department of Obstetrics, Jena University Hospital, Jena, Germany
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Rainer Kimmig
Rainer Kimmig
Department of Gynecology and Obstetrics, University of Duisburg-Essen, Essen, Germany
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Alexandra Gellhaus
Alexandra Gellhaus
Department of Gynecology and Obstetrics, University of Duisburg-Essen, Essen, Germany
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Hans Dieplinger
Hans Dieplinger
Division of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
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pregnancy complications like gestational diabetes mellitus (GDM) ( 11 , 12 ). IR, as determined with homeostasis model assessment (HOMA-IR) ( 13 ), when present before the beginning of a pregnancy seems to be the strongest factor associated with the
Ping Gu
Ping Gu
Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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Yuege Lin
Yuege Lin
Department of Pathology, Nanjing Medical University, Nanjing, China
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Qi Wan
Qi Wan
Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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Dongming Su
Dongming Su
Department of Pathology, Nanjing Medical University, Nanjing, China
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Qun Shu
Qun Shu
Department of Obstetrics, Shanghai First Maternity and Infant Health Hospital, School of Medicine, Tongji University, Shanghai, China
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expansion of pancreatic β-cell mass ( 1 , 2 ). However, when this adaptation fails to meet the increased insulin demand, the blood glucose level increases in pregnant women and this can lead to the development of gestational diabetes mellitus (GDM) ( 3
Ling-Jun Li
Ling-Jun Li
Division of O&G, KK Women’s and Children’s Hospital, Singapore, Singapore
O&G ACP, Duke-NUS Graduate Medical School, Singapore, Singapore
Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
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O&G ACP, Duke-NUS Graduate Medical School, Singapore, Singapore
Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
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Izzuddin M Aris
Izzuddin M Aris
Singapore Institute for Clinical Sciences, Agency for Science Technology and Research (A*STAR), Singapore, Singapore
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Lin Lin Su
Lin Lin Su
Department of O&G, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
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Yap Seng Chong
Yap Seng Chong
Singapore Institute for Clinical Sciences, Agency for Science Technology and Research (A*STAR), Singapore, Singapore
Department of O&G, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
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Department of O&G, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
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Tien Yin Wong
Tien Yin Wong
O&G ACP, Duke-NUS Graduate Medical School, Singapore, Singapore
Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
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Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
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Kok Hian Tan
Kok Hian Tan
Division of O&G, KK Women’s and Children’s Hospital, Singapore, Singapore
O&G ACP, Duke-NUS Graduate Medical School, Singapore, Singapore
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O&G ACP, Duke-NUS Graduate Medical School, Singapore, Singapore
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Jie Jin Wang
Jie Jin Wang
O&G ACP, Duke-NUS Graduate Medical School, Singapore, Singapore
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Introduction Gestational diabetes mellitus (GDM) and hypertensive disorders of pregnancy (HDP) are two of the most commonly seen pregnancy complications that adversely affect both short-term and long-term maternal and fetal outcomes ( 1 , 2
Zeting Li
Zeting Li
Department of Endocrinology, Sun Yat-sen University First Affiliated Hospital, Guangzhou, China
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Ling Pei
Ling Pei
Department of Endocrinology, Sun Yat-sen University First Affiliated Hospital, Guangzhou, China
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Huangmeng Xiao
Huangmeng Xiao
Department of Endocrinology, Sun Yat-sen University First Affiliated Hospital, Guangzhou, China
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Nan Chen
Nan Chen
Department of Endocrinology, Sun Yat-sen University First Affiliated Hospital, Guangzhou, China
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Fenghua Lai
Fenghua Lai
Department of Endocrinology, Sun Yat-sen University First Affiliated Hospital, Guangzhou, China
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Shufang Yue
Shufang Yue
Department of Endocrinology, Sun Yat-sen University First Affiliated Hospital, Guangzhou, China
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Changliu Xu
Changliu Xu
Department of Endocrinology, Sun Yat-sen University First Affiliated Hospital, Guangzhou, China
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Yanbing Li
Yanbing Li
Department of Endocrinology, Sun Yat-sen University First Affiliated Hospital, Guangzhou, China
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Haipeng Xiao
Haipeng Xiao
Department of Endocrinology, Sun Yat-sen University First Affiliated Hospital, Guangzhou, China
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Xiaopei Cao
Xiaopei Cao
Department of Endocrinology, Sun Yat-sen University First Affiliated Hospital, Guangzhou, China
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). Recent studies have reported elevated plasma PANDER levels in individuals with T2DM ( 11 , 12 , 13 ), metabolic syndrome (MS) ( 14 ), and gestational diabetes mellitus (GDM) ( 15 ). Previous experiments have demonstrated that exogenous PANDER treatment
Ling Zhou
Ling Zhou
Cangzhou Central Hospital, Cangzhou, Hebei, China
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Ruixue Zhang
Ruixue Zhang
Cangzhou Central Hospital, Cangzhou, Hebei, China
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Shuangyan Yang
Shuangyan Yang
Cangzhou Central Hospital, Cangzhou, Hebei, China
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Yaguang Zhang
Yaguang Zhang
Cangzhou Central Hospital, Cangzhou, Hebei, China
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Dandan Shi
Dandan Shi
Cangzhou Central Hospital, Cangzhou, Hebei, China
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Introduction Gestational diabetes mellitus (GDM) is a condition of glucose intolerance usually occurring during the late stage of pregnancy due to decreased maternal insulin sensitivity and increased glucose production, and often recovers
Thorben Hoffmann
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
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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Center for Biochemistry, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
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Ruth Janoschek
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
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
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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Center for Biochemistry, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
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Annette Müller
Annette Müller
Center for Pediatric Pathology at the University Hospital Cologne, Cologne, Germany
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Gerhard Sengle
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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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
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
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
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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–30; overweight (OW)) and obese (BMI >30; obese (OB)) pregnant women. The classification of gestational diabetes mellitus (GDM) was based on the oral glucose tolerance test 50 and 75 or the clinical maternity log. The total patient collective is 247 patients
