First trimester screening for gestational diabetes mellitus by maternal factors and markers of inflammation.
نویسندگان
چکیده
OBJECTIVE To examine the potential role of maternal serum levels of tumor necrosis factor-α (TNF-α) and high sensitivity C-reactive protein (Hs-CRP) in the first trimester of pregnancy in the prediction of gestational diabetes mellitus (GDM). METHODS Maternal serum TNF-α and Hs-CRP concentrations were measured in a case-control study of singleton pregnancies at 11-13 weeks' gestation, which included 200 cases that subsequently developed GDM and 800 unaffected controls. Measured levels of TNF-α and Hs-CRP were expressed as multiples of the median (MoM) after adjustment for maternal characteristics and history. The performance of screening for GDM by maternal factors and MoM values of TNF-α and Hs-CRP was evaluated by the area under the receiver operating characteristic curves (AUROC). RESULTS In the GDM group, compared to the normal group, the median TNF-α was significantly increased (1.303 MoM, interquartile range [IQR] 1.151-1.475 vs. 1.0 MoM, IQR 0.940-1.064; p=0.031) and the median Hs-CRP was not significantly different (1.113 MoM, IQR 0.990-1.250 vs. 1.0 MoM, IQR 0.943-1.060; p=0.084). In the prediction of GDM, the AUROC for maternal characteristics with TNF-α or Hs-CRP was not significantly different than the AUROC for maternal characteristics alone (p=0.5055 and p=0.2197, respectively). CONCLUSIONS In pregnancies that develop GDM there is no evidence of an inflammatory response at 11-13 weeks' gestation and the levels of serum TNF-α and Hs-CRP are not useful in first-trimester screening for GDM.
منابع مشابه
First Trimester Potential Biochemical Predictive Tests for Gestational Diabetes Mellitus: A Systematic Review
Objective: Gestational diabetes mellitus (GDM) is the most common metabolic complication during pregnancy. So, a large number of studies have evaluated the usefulness of different screening tests. The aim of this study was focused on the potential of only first-trimester screening used in the prediction of GDM. Materials and Methods: In this systematic review, we searched PubMed, EMBASE, and S...
متن کاملEarly screening of gestational diabetes mellitus using maternal hemoglobin A1C: Revision of current screening guidelines
Background: HbA1C has been a known predictor and diagnostic test for diabetes type 2. However, this test has not yet been widely studied in GDM and more importantly no cutoff point has been defined for HbA1C in GDM. We investigated the efficacy of screening during first and second trimester of pregnancy and defined appropriate cutoff points according to HbA1C and FBS for predicting maternal GDM...
متن کاملApplication of First Trimester Screening in the Prognostication of Small for Gestational Age
Background: Fetal growth restriction is defined as the failure of the fetus to achieve its full growth potential. The present study aimed to investigate the application of first trimester screening in the prediction of small for gestational age (SGA).Methods: This cohort study was conducted on the consecutive and unselected women with singleton pregnancies undergoing routine first-trimester exa...
متن کاملPrediction of large-for-gestational-age neonates: screening by maternal factors and biomarkers in the three trimesters of pregnancy.
OBJECTIVE To develop a model based on maternal characteristics and medical history (maternal factors) for the prediction of delivery of large-for-gestational-age (LGA) neonates, and to examine the potential value of first-, second- and third-trimester fetal biometry and biomarkers in improving such a model. METHODS This was a screening study in 76 300, 54 999, 25 727 and 6181 singleton pregna...
متن کاملPrediction of gestational diabetes mellitus by maternal factors and biomarkers at 11 to 13 weeks.
OBJECTIVE To develop a model for the prediction of gestational diabetes mellitus (GDM) from maternal characteristics and biochemical markers at 11 to 13 weeks' gestation. METHODS A prospective screening study on early prediction of pregnancy complications (n = 11, 464), including 297 (2.6%) cases of GDM was used to create the predictive model of GDM based on maternal characteristics. Maternal...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Metabolism: clinical and experimental
دوره 65 3 شماره
صفحات -
تاریخ انتشار 2016