Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 1 de 1
Filter
1.
Arch. endocrinol. metab. (Online) ; 63(2): 121-127, Mar.-Apr. 2019. tab, graf
Article in English | LILACS | ID: biblio-1001217

ABSTRACT

ABSTRACT Objective We investigated the utility of maternal fetuin-A, N-terminal proatrial natriuretic peptide (pro-ANP), high-sensitivity C-reactive protein (hs-CRP), and fasting glucose levels at 11-14 gestation weeks for predicting pregnancies complicated by gestational diabetes mellitus (GDM). Subjects and methods This prospective cohort study included 327 low-risk pregnant women who completed antenatal follow-up at a tertiary research hospital between January and April 2014. Maternal blood samples were collected between 11-14 gestational weeks in the first trimester of pregnancy and then stored at -80 °C until further analyses. During follow-up, 29 (8.8%) women developed GDM. The study population was compared 1:2 with age- and body mass index-matched pregnant women who did not develop GDM (n = 59). Fasting plasma glucose (FPG) levels and serum fetuin-A, pro-ANP, and hs-CRP levels were measured using automated immunoassay systems. Results There was a significant negative correlation between fetuin-A and hs-CRP (CC = -0.21, p = 0.047) and a positive correlation between FPG and hs-CRP (CC = 0.251, p = 0.018). The areas under the receiver operating characteristic curve for diagnosing GDM were 0.337 (p = 0.013), 0.702 (p = 0.002), and 0.738 (p < 0.001) for fetuin-A, hs-CRP, and FPG, respectively. The optimal cut-off values were > 4.65, < 166, and > 88.5 mg/dL for maternal hs-CRP, fetuin-A, and FPG, respectively. Conclusion Reduced fetuin-A, elevated hs-CRP, and FPG levels in women in the first trimester can be used for the early detection of GDM. Further research is needed before accepting these biomarkers as valid screening tests for GDM.


Subject(s)
Humans , Female , Pregnancy , Adolescent , Adult , Young Adult , Pregnancy Trimester, First/blood , Blood Glucose/metabolism , C-Reactive Protein/metabolism , Insulin Resistance , Decision Support Techniques , Diabetes, Gestational/diagnosis , Insulin/blood , Biomarkers/blood , Logistic Models , Odds Ratio , Predictive Value of Tests , Retrospective Studies , Follow-Up Studies , Sensitivity and Specificity , Diabetes, Gestational/blood
SELECTION OF CITATIONS
SEARCH DETAIL