Second trimester prediction of gestational diabetes: maternal analytes as an additional screening tool.

OBJECTIVES: Early diagnosis of gestational diabetes can lead to greater optimization of glucose control. We evaluated associations between maternal serum analytes (alpha-fetoprotein [AFP], free beta-human chorionic gonadotropin [beta-hCG], inhibin, and estriol) and the development of gestational diabetes mellitus (GDM). METHODS: This retrospective cohort study identified single-ton pregnancies with available second trimester serum analytes between 2009 and 2017. GDM was identified by ICD-9 and -10 codes. We examined the associations between analyte levels and GDM and to adjust for potential confounders routinely collected during genetic serum screening (maternal age, BMI, and race) using logistic regression. Optimal logistic regression predictive modeling for GDM was then performed using the analyte levels and the above mentioned potential confounders. The performance of the model was assessed by receiver operator curves. RESULTS: Out of 5,709 patients, 660 (11.6%) were diagnosed with GDM. Increasing AFP and estriol were associated with decreasing risk of GDM, aOR 0.76 [95% CI 0.60-0.95] and aOR 0.67 [95% CI 0.50-0.89] respectively. Increasing beta-hCG was associated with a decreasing risk for GDM(aOR 0.84 [95% CI 0.73-0.97]). There was no association with inhibin. The most predictive GDM predictive model included beta-hCG and estriol in addition to the clinical variables of age, BMI, and race (area under the curve (AUC 0.75), buy this was not statistically different than using clinical variables alone (AUC 0.74) (p=0.26). CONCLUSIONS: Increasing second trimester AFP, beta-hCG, and estriol are associated with decreasing risks of GDM, though do not improve the predictive ability for GDM when added to clinical risk factors of age, BMI, and race.

The Predictive Value of a Single Serum Beta Human Chorionic Gonadotropin Level in Pregnancies Achieved by Intrauterine Insemination and In Vitro Fertilization-Embryo Transfer Program / 대한산부인과학회잡지

OBJECTIVE: To clarify specific serum beta-human chorionic gonadotropin (beta-hCG) levels on 11 days after intrauterine insemination (IUI) and in vitro fertilization-embryo transfer (IVF-ET) that could predict live birth. METHODS: Three hundred ninety-two pregnancies resulting from IUI and IVF-ET procedures between January 1, 1997 and December 31, 2000 were evaluated. Serum quantitative beta-hCG levels were measured 11 days after IUI or ET using standard immunoradiometric assays. Pregnancy outcomes were categorized as spontaneous abortion, biochemical pregnancy, ectopic pregnancy, singleton live birth, or multiple live birth. Statistical analyses were performed by analysis of variances, and Student's t-test. The sensitivity and specificity of serum beta-hCG level for predicting live birth were plotted using receiver-operator-characteristic (ROC) curve. RESULTS: The multiple live birth group has significantly higher serum beta-hCG level among the different pregnancy outcome groups. The beta-hCG level on the eleventh day after IUI and IVF-ET was significantly higher in the live birth group than the non viable pregnancy group. At a threshold level of 65 mIU/ml, the serum beta-hCG level on the eleventh day after IUI had a positive predictive value of 78.9% in predicting live birth with 95% specificity. At a threshold level of 115 mIU/ml, the serum beta human chorionic gonadotropin level on the eleventh day after ET had a positive predictive value of 92.1% with 95% specificity. CONCLUSION: These data suggest that serum beta-hCG level on 11 days after IVF-ET could be a reliable indicator predicting pregnancy outcome.