Objective. Gestational diabetes (GDM) and obesity portend a high risk for subsequent type 2 diabetes. We examined maternal factors influencing the development of gestational diabetes (GDM) in obese women receiving 17-alpha-hydroxyprogesterone caproate (17OHPC) for preterm delivery prevention.Materials and Methods. Retrospectively identified were 899 singleton pregnancies with maternal prepregnancy body mass indices of ≥30 kg/m²enrolled for either 17OHPC weekly administration (study group) or daily uterine monitoring and nursing assessment (control group). Patients with history of diabetes type 1, 2, or GDM were excluded. Maternal characteristics were compared between groups and for women with and without development of GDM. A logistic regression model was performed on incidence of GDM, controlling for significant univariate factors.Results. The overall incidence of GDM in the 899 obese women studied was 11.9%. The incidence of GDM in the study group (n=491) was 13.8% versus 9.6% in the control group (n=408) (P=0.048). Aside from earlier initiation of 17OHP and advanced maternal age, other factors including African American race, differing degrees of obesity, and use of tocolysis were not significant risks for the development of GDM.Conclusion. In obese women with age greater than 35 years, earlier initiation of 17OHPC may increase the risk for GDM.

Application of latent variable models in medical research are becoming increasingly popular. A latent trait model is developed to combine rare birth defect outcomes in an index of infant morbidity. This study employed four statewide, retrospective 10-year data sources (1999 to 2009). The study cohort consisted of all female Florida Medicaid enrollees who delivered a live singleton infant during study period. Drug exposure was defined as any exposure to Antiepileptic drugs (AEDs) during pregnancy. Mothers with no AED exposure served as the AED unexposed group for comparison. Four adverse outcomes, birth defect (BD), abnormal condition of new born (ACNB), low birth weight (LBW), and pregnancy and obstetrical complication (PCOC), were examined and combined using a latent trait model to generate an overall severity index. Unidimentionality, local independence, internal homogeneity, and construct validity were evaluated for the combined outcome. The study cohort consisted of 3183 mother-infant pairs in total AED group, 226 in the valproate only subgroup, and 43,956 in the AED unexposed group. Compared to AED unexposed group, the rate of BD was higher in both the total AED group (12.8% vs. 10.5%, P < .0001), and the valproate only subgroup (19.6% vs. 10.5%, P < .0001). The combined outcome was significantly correlated with the length of hospital stay during delivery in both the total AED group (Rho = 0.24, P < .0001) and the valproate only subgroup (Rho = 0.16, P = .01). The mean score for the combined outcome in the total AED group was significantly higher (2.04 ± 0.02 vs. 1.88 ± 0.01, P < .0001) than AED unexposed group, whereas the valproate only subgroup was not. Latent trait modeling can be an effective tool for combining adverse pregnancy and perinatal outcomes to assess prenatal exposure to AED, but evaluation of the selected components is essential to ensure the validity of the combined outcome.

Preterm birth is the principal contributor to neonatal death and morbidity worldwide. We previously described a plasma cell-free RNA panel that between 16 and 20 weeks of pregnancy had potential to predict spontaneous preterm birth (sPTB) ≤ 32 weeks caused by preterm labor (PTL) or preterm premature rupture of membranes (PPROM). The present study had three objectives: (1) estimate the RNA panel prognostic accuracy for PTL/PPROM ≤ 32 weeks in a larger series; (2) improve accuracy by adding clinical characteristics to the predictive model; and (3) examine the association of the RNA panel with preeclampsia. We studied 289 women from Memphis TN prospectively sampled 16.0–20.7 weeks and found: (1) PSME2 and Hsa-Let 7g were differentially expressed in cases of PTL/PPROM ≤ 32 weeks and together provided fair predictive accuracy with AUC of 0.76; (2) combining the two RNAs with clinical characteristics improved good predictive accuracy for PTL/PPROM ≤ 32 weeks (AUC 0.83); (3) NAMPT and APOA1 were differentially expressed in women with ‘early-onset preeclampsia’ (EOP) and together provided good predictive accuracy with AUC of 0.89; and (4) combining the two RNAs with clinical characteristics provided excellent predictive accuracy (AUC 0.96). Our findings suggest an underlying common pathophysiological relationship between PTL/PPROM ≤ 32 weeks and EOP and open inroads for the prognostication of high-risk pregnancies.

Objective: As the cesarean delivery rate has risen future pregnancy outcomes are impacted including the decision to undergo a repeat cesarean or a vaginal birth after cesarean (VBAC) in the subsequent pregnancy. A calculator was developed by the maternal fetal medicine units (MFMUs) network in 2007 to estimate the chance of successful VBAC and is used widely. The purpose of this study was to investigate the calculator’s validity on our obstetric patient population. Study design: This was a retrospective study of patients attempting a VBAC delivery at a single center from January 2012 to June 2014. Chances for success were estimated using the MFMU network VBAC calculator in 201 evaluable patients. We then compared the calculator’s results with the outcomes observed. In order to determine if the MFMU VBAC calculator was accurately predicting successful vaginal deliveries, we discretized our dataset by binning into MFMU score deciles. Each decile was then tested for significant deviations from the predicted success rate using an exact binomial test. Significance was determined at 0.05 levels. Results: Two hundred and one patients were included. Our results demonstrated higher actual VBAC success than anticipated by using the MFMU network calculator for patients with scores in the 40–80% decile range. When stratified by race, we found the calculator to be a better predictor of success in African-American patients, as the calculator appears to underestimate success in white and Hispanic patients. Conclusion: Calculators are helpful to facilitate patient counseling and shared decision-making regarding the patient’s choice for VBAC. When providing such counseling, the potential for reduced predicted VBAC success in the mid-decile range with the MFMU calculator should be recognized.

Paroxysmal nocturnal hemoglobinuria (PNH) is a hematologic disorder characterized by an acquired somatic mutation in the phosphatidylinositol glycan class A gene which leads to a higher risk for increased venous and arterial thrombosis. Current treatment for PNH includes eculizumab. Pregnant patients who have PNH have higher risk for thrombosis and hemorrhage with both pregnancy and their underlying PNH. Treatment frequently poses conundrum. The safety and efficacy of eculizumab during pregnancy and breast feeding have not been extensively studied and contraception has been recommended due to potential for teratogenicity. We present a case of a patient who was safely on both eculizumab and modest prophylactic anticoagulation for 6 weeks post-partum.

Background: Prevention of the vertical transmission of the hepatitis C virus (HCV) presents an obstetric challenge. There are no approved antiviral medications for the treatment or prevention of HCV for pregnant patients. Objective: We aimed to create a composite score to accurately identify a population of pregnant patients with HCV who have high potential for vertical transmission. Study Design: In a retrospective, multicenter cohort study, we identified pregnant patients with hepatitis C with linked data to their infants who have had HCV RNA or HCV antibody testing. Demographic data, including age and race/ethnicity, as well as clinical and laboratory data, including tobacco/alcohol use, infections, liver function tests, the HCV RNA titer, HCV antibody, HCV genotype, absolute lymphocyte count, and platelet count, were collected. Data were analyzed using logistic regression and receiver operating characteristics (ROCs) and internally validated using the forward selection bootstrap method. Results: We identified 157 pregnant patients and 163 corresponding infants. The median maternal delivery age was 29 (IQR: 25–33) years, and the majority (141, or 89.8%) were White. A high HCV RNA titer, high absolute lymphocyte count, and high platelet count were associated with vertical transmission. A high HCV RNA titer had an AUROC of 0.815 with sensitivity, specificity, a positive predictive value, and a negative predictive value of 100.0%, 59.1%, 17.6%, and 100.0%, respectively. A composite score combining the three risk factors had an AUROC of 0.902 (95% CI = 0.840–0.964) but with a risk of overfitting. Conclusions: An HCV RNA titer alone or a composite score combining the risk factors for HCV vertical transmission can potentially identify a population of pregnant patients where the rate of vertical transmission is high, allowing for potential interventions during antepartum care.