Gestational diabetes mellitus prediction model: A risk factors analysis of pregnant women with gestational diabetes mellitus but have normal oral glucose tolerance test results in the second trimester of pregnancy
| Autor: | Song Zhang, Jiayu Lu, Dongmei Hao, Yimin Yang, Xiaohong Liu, Jing Shao, Hongqing Jiang, Xuwen Li, Aiqing Chen, Lin Yang |
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| Rok vydání: | 2021 |
| Předmět: |
Adult
Blood Glucose rest energy metabolism medicine.medical_specialty endocrine system diseases Biomedical Engineering Biophysics 030209 endocrinology & metabolism Health Informatics Bioengineering 030204 cardiovascular system & hematology Biomaterials 03 medical and health sciences 0302 clinical medicine Second trimester Pregnancy Risk Factors Prediction model Epidemiology medicine Humans Oral glucose tolerance Kilogram Obstetrics business.industry nutritional and metabolic diseases Glucose Tolerance Test medicine.disease gestational diabetes mellitus Gestational diabetes Diabetes Gestational Pregnancy Trimester Second Female Pregnant Women medicine.symptom business Body mass index Weight gain Information Systems Research Article |
| Zdroj: | Technology and Health Care |
| ISSN: | 1878-7401 |
| Popis: | BACKGROUND: Oral glucose tolerance test (OGTT) is a standard for the diagnosis of gestational diabetes mellitus (GDM). However, clinically, some cases with normal results were diagnosed as GDM in the third trimester. OBJECTIVE: To establish a risk model based on energy metabolism, epidemiology, and biochemistry that could predict the GDM pregnant women with normal OGTT results in the second trimester. METHODS: Qualitative and quantitative data were analyzed to find out the risk factors, and the binary logistic backward LR regression was used to establish the prediction model of each factor and comprehensive factor, respectively. RESULTS: The risk factors including the rest energy expenditure per kilogram of body weight, oxygen consumption per kilogram of body weight, if more than the weight gain criteria of the Institute of Medicine, the increase of body mass index between the second trimester and pre-pregnancy, and fasting blood glucose. By comparison, the comprehensive model had the best prediction performance, indicating that 85% of high-risk individuals were correctly classified. CONCLUSION: Energy metabolism, epidemiology, and biochemistry had better recognition ability for the GDM pregnant women with normal OGTT results in the second trimester. The addition of metabolic factors in the second trimester also improved the overall prediction performance. |
| Databáze: | OpenAIRE |
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