The Predictive Effects of Early Pregnancy Lipid Profiles and Fasting Glucose on the Risk of Gestational Diabetes Mellitus Stratified by Body Mass Index
This study aimed at evaluating the predictive effects of early pregnancy lipid profiles and fasting glucose on the risk of gestational diabetes mellitus (GDM) in patients stratified by prepregnancy body mass index (p-BMI) and to determine the optimal cut-off values of each indicator for different p-...
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | Journal of Diabetes Research |
| Online Access: | http://dx.doi.org/10.1155/2016/3013567 |
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| author | Chen Wang Weiwei Zhu Yumei Wei Rina Su Hui Feng Li Lin Huixia Yang |
| author_facet | Chen Wang Weiwei Zhu Yumei Wei Rina Su Hui Feng Li Lin Huixia Yang |
| author_sort | Chen Wang |
| collection | DOAJ |
| description | This study aimed at evaluating the predictive effects of early pregnancy lipid profiles and fasting glucose on the risk of gestational diabetes mellitus (GDM) in patients stratified by prepregnancy body mass index (p-BMI) and to determine the optimal cut-off values of each indicator for different p-BMI ranges. A retrospective system cluster sampling survey was conducted in Beijing during 2013 and a total of 5,265 singleton pregnancies without prepregnancy diabetes were included. The information for each participant was collected individually using questionnaires and medical records. Logistic regression analysis and receiver operator characteristics analysis were used in the analysis. Outcomes showed that potential markers for the prediction of GDM include early pregnancy lipid profiles (cholesterol, triacylglycerols, low-density lipoprotein cholesterol/high-density lipoprotein cholesterol ratios [LDL-C/HDL-C], and triglyceride to high-density lipoprotein cholesterol ratios [TG/HDL-C]) and fasting glucose, of which fasting glucose level was the most accurate indicator. Furthermore, the predictive effects and cut-off values for these factors varied according to p-BMI. Thus, p-BMI should be a consideration for the risk assessment of pregnant patients for GDM development. |
| format | Article |
| id | doaj-art-b3df5d2a4fc34cbebe3a4bd6a013c84f |
| institution | DOAJ |
| issn | 2314-6745 2314-6753 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Diabetes Research |
| spelling | doaj-art-b3df5d2a4fc34cbebe3a4bd6a013c84f2025-08-20T03:20:52ZengWileyJournal of Diabetes Research2314-67452314-67532016-01-01201610.1155/2016/30135673013567The Predictive Effects of Early Pregnancy Lipid Profiles and Fasting Glucose on the Risk of Gestational Diabetes Mellitus Stratified by Body Mass IndexChen Wang0Weiwei Zhu1Yumei Wei2Rina Su3Hui Feng4Li Lin5Huixia Yang6Department of Obstetrics and Gynecology, Peking University First Hospital, Beijing 100034, ChinaDepartment of Obstetrics and Gynecology, Peking University First Hospital, Beijing 100034, ChinaDepartment of Obstetrics and Gynecology, Peking University First Hospital, Beijing 100034, ChinaDepartment of Obstetrics and Gynecology, Peking University First Hospital, Beijing 100034, ChinaDepartment of Obstetrics and Gynecology, Peking University First Hospital, Beijing 100034, ChinaDepartment of Obstetrics and Gynecology, Peking University First Hospital, Beijing 100034, ChinaDepartment of Obstetrics and Gynecology, Peking University First Hospital, Beijing 100034, ChinaThis study aimed at evaluating the predictive effects of early pregnancy lipid profiles and fasting glucose on the risk of gestational diabetes mellitus (GDM) in patients stratified by prepregnancy body mass index (p-BMI) and to determine the optimal cut-off values of each indicator for different p-BMI ranges. A retrospective system cluster sampling survey was conducted in Beijing during 2013 and a total of 5,265 singleton pregnancies without prepregnancy diabetes were included. The information for each participant was collected individually using questionnaires and medical records. Logistic regression analysis and receiver operator characteristics analysis were used in the analysis. Outcomes showed that potential markers for the prediction of GDM include early pregnancy lipid profiles (cholesterol, triacylglycerols, low-density lipoprotein cholesterol/high-density lipoprotein cholesterol ratios [LDL-C/HDL-C], and triglyceride to high-density lipoprotein cholesterol ratios [TG/HDL-C]) and fasting glucose, of which fasting glucose level was the most accurate indicator. Furthermore, the predictive effects and cut-off values for these factors varied according to p-BMI. Thus, p-BMI should be a consideration for the risk assessment of pregnant patients for GDM development.http://dx.doi.org/10.1155/2016/3013567 |
| spellingShingle | Chen Wang Weiwei Zhu Yumei Wei Rina Su Hui Feng Li Lin Huixia Yang The Predictive Effects of Early Pregnancy Lipid Profiles and Fasting Glucose on the Risk of Gestational Diabetes Mellitus Stratified by Body Mass Index Journal of Diabetes Research |
| title | The Predictive Effects of Early Pregnancy Lipid Profiles and Fasting Glucose on the Risk of Gestational Diabetes Mellitus Stratified by Body Mass Index |
| title_full | The Predictive Effects of Early Pregnancy Lipid Profiles and Fasting Glucose on the Risk of Gestational Diabetes Mellitus Stratified by Body Mass Index |
| title_fullStr | The Predictive Effects of Early Pregnancy Lipid Profiles and Fasting Glucose on the Risk of Gestational Diabetes Mellitus Stratified by Body Mass Index |
| title_full_unstemmed | The Predictive Effects of Early Pregnancy Lipid Profiles and Fasting Glucose on the Risk of Gestational Diabetes Mellitus Stratified by Body Mass Index |
| title_short | The Predictive Effects of Early Pregnancy Lipid Profiles and Fasting Glucose on the Risk of Gestational Diabetes Mellitus Stratified by Body Mass Index |
| title_sort | predictive effects of early pregnancy lipid profiles and fasting glucose on the risk of gestational diabetes mellitus stratified by body mass index |
| url | http://dx.doi.org/10.1155/2016/3013567 |
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