Role of the Glucose Tolerance Test as a Predictor of Preeclampsia
| Autor: | J. Pasten, E. Soto‐Chacon, Mauro Parra-Cordero, Álvaro Sepúlveda-Martínez, J Preisler, E. Valdes, G. Rencoret |
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| Rok vydání: | 2014 |
| Předmět: |
Adult
medicine.medical_specialty endocrine system diseases Gestational Age Body Mass Index Preeclampsia Pre-Eclampsia Pregnancy Diabetes mellitus medicine Humans reproductive and urinary physiology Retrospective Studies Ultrasonography Gynecology Glucose tolerance test medicine.diagnostic_test Cesarean Section business.industry Case-control study Obstetrics and Gynecology Gestational age Retrospective cohort study Glucose Tolerance Test medicine.disease female genital diseases and pregnancy complications Diabetes Gestational Uterine Artery Logistic Models ROC Curve Reproductive Medicine Case-Control Studies Premature Birth Female business Body mass index Maternal Age |
| Zdroj: | Gynecologic and Obstetric Investigation. 78:130-135 |
| ISSN: | 1423-002X 0378-7346 |
| DOI: | 10.1159/000358876 |
| Popis: | Objective: To determine whether oral glucose tolerance tests (OGTT) play a role as predictors of preeclampsia (PET) in pregnant women. Methods: A retrospective case-control study was conducted in 2,002 singleton pregnancies that had a uterine artery (UtA) Doppler at 22-25 weeks and an OGTT. The UtA Doppler and OGTT were adjusted based on maternal characteristics, and the results were expressed as multiples of the expected normal median and compared between groups. Logistic regression analysis was used to determine whether maternal characteristics, OGTT, and UtA Doppler significantly contribute to the prediction of early- (37 weeks) PET. The performance of the screening was determined by ROC curves. Results: Women who developed PET were characterized by an older maternal age, an increased body mass index, and an altered UtA Doppler. The group with intermediate-onset PET was the only one associated with higher 2-hour OGTT levels compared to controls. Combined models were developed via logistic regression analysis using maternal characteristics, UtA Doppler, and OGTT to predict PET. These combined models were able to detect around 74, 42, and 21% of women who later developed early-, intermediate-, or late-onset PET, respectively, with only a 5% false-positive rate. Conclusions: This study shows that the combination of maternal characteristics, second-trimester UtA Doppler, and OGTT is a predictor of the development of PET in healthy pregnant women. |
| Databáze: | OpenAIRE |
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