The NDDG criteria versus the IADPSG or the ADA criteria for diagnosing early-onset gestational diabetes mellitus or abnormal glucose tolerance.

OBJECTIVE: To analyze the effects of substituting the National Diabetes Data Group (NDDG) criteria with the International Association of Diabetes and Pregnancy Study Groups (IADPSG) or American Diabetes Association (ADA) criteria for the diagnosis of early-onset gestational diabetes mellitus (Early-GDM) or first trimester abnormal glucose tolerance (1 t-AGT). METHODS: A retrospective cohort study was conducted of 3200 women: 400 with Early-GDM, 800 with GDM, and 2000 with Non-GDM, according to the NDDG criteria. Rates of women with missed and new Early-GDM according to the IADPSG or ADA criteria were calculated. Multivariate logistic regression analysis was used to compare perinatal outcomes between groups. RESULTS: Using the IADPSG criteria, 61.6% of women with Early-GDM according to the NDDG were undiagnosed (Missed-Early-GDM group), and 25.9% of women with GDM and 15.7% of women with Non-GDM were diagnosed with Early-GDM (New-Early-GDM groups). Perinatal outcomes were worse in Missed-Early-GDM than in Non-GDM and better in New-Early-GDM groups than in the Early-GDM group. According to the ADA recommendations, only 11.8% of women with Early-GDM according to the NDDG criteria were diagnosed. CONCLUSION: Replacing the NDDG recommendations for the diagnosis of Early-GDM with the IADPSG or ADA criteria would mean depriving a large number of women with AGT and higher risk of adverse perinatal outcomes from early treatment and treating others with lower risk.

Maternal Thinness and Obesity and Customized Fetal Weight Charts.

OBJECTIVE: The aim of the study was to determine if customized fetal growth charts developed excluding obese and underweight mothers (CC(18.5-25)) are better than customized curves (CC) at identifying pregnancies at risk of perinatal morbidity. MATERIAL AND METHODS: Data from 20,331 infants were used to construct CC and from 11,604 for CC(18.5-25), after excluding the cases with abnormal maternal BMI. The 2 models were applied to 27,507 newborns and the perinatal outcomes were compared between large for gestational age (LGA) or small for gestational age (SGA) according to each model. Logistic regression was used to calculate the OR of outcomes by the group, with gestational age (GA) as covariable. The confidence intervals of pH were calculated by analysis of covariance. RESULTS: The rate of cesarean and cephalopelvic disproportion (CPD) were higher in LGAonly by CC(18.5-25) than in LGAonly by CC. In SGAonly by CC(18.5-25), neonatal intensive care unit (NICU) and perinatal mortality rates were higher than in SGAonly by CC. Adverse outcomes rate was higher in LGAonly by CC(18.5-25) than in LGAonly by CC (21.6%; OR = 1.61, [1.34-193]) vs. (13.5%; OR = 0.84, [0.66-1.07]), and in SGA only by CC(18.5-25) than in SGAonly by CC (9.6%; OR = 1.62, [1.25-2.10] vs. 6.3%; OR = 1.18, [0.85-1.66]). CONCLUSION: The use of CC(18.5-25) allows a more accurate identification of LGA and SGA infants at risk of perinatal morbidity than conventional CC. This benefit increase and decrease, respectively, with GA.

Value of Placental Volume and Vascular Flow Indices as Predictors of Early and Late Preeclampsia at First Trimester.

INTRODUCTION: We evaluated the utility of placental volume and three-dimensional (3D) vascular flow indices to predict early and late preeclampsia. MATERIAL AND METHODS: In 1,004 pregnancies attending routine care, we recorded first-trimester screening program for aneuploidy (FTSA) parameter and measured uterine artery pulsatility index (uterine-a PI). Placental volume and vascular flow indices were obtained using 3D power Doppler and VOCAL techniques. RESULTS: Placental volume was lower and uterine-a PI was higher in both early and late preeclampsia groups versus nonaffected pregnancies. The prediction rate of placental volume in late preeclampsia was higher than that of uterine-a PI (AUROC 0.707 vs. 0.581, p < 0.011). The inclusion of placental volume improved significantly the prediction rate of total and late preeclampsia in the models constructed with maternal characteristics, FTSA, and uterine-a PI (AUROC 0.745 vs. 0.818, p < 0.004, and 0.740 vs. 0.812, p < 0.012, respectively). The inclusion of vascular indices did not improve the predictive value of these models. DISCUSSION: Placental volume was an independent predictor of total, early, and late preeclampsia and its inclusion in combined predictive models significantly improved prediction rates. Reduced placental volume observed at first trimester in women with early and late preeclampsia suggests that these entities are the clinical expression of a similar pathophysiological process.

Value of placental volume and vascular flow indices as predictors of intrauterine growth retardation.

OBJECTIVE: To evaluate the utility of first-trimester placental volume and vascular flow indices to predict intrauterine growth retardation (IUGR). STUDY DESIGN: In 1004 singleton pregnancies attending routine care we recorded maternal characteristics, biophysical and biochemical factors included in the first trimester screening for aneuploidy (FTSA) and uterine artery pulsatility index (PI). Placental volume, Vascularization Index, Flow Index and Vascularization Flow Index were obtained. Customized curves were used to define IUGR. We compared pregnancies with and without IUGR. The performance of different predictive models was described by the areas under the receiver operator characteristic (AUROC) curve. Predictive models of IUGR were compared using a two by two approach and subset analysis was performed. RESULTS: Placental volume and all vascular indices were significantly lower (p<0.001, p≤0.01), and uterine artery PI higher (p<0.001), in pregnancies with IUGR, with and without associated pre-eclampsia. RESULTS: obtained in the analysis of homogeneous subsets showed that the effectiveness of combined predictive models for IUGR improved significantly after adding vascular indices or placental volume to maternal characteristics, FTSA variables and uterine artery PI (AUROC curve value 0.703 (95% CI 0.663-0.744) versus 0.720 (95% CI 0.681-0.759) and 0.735 (95% CI 0.696-0.733), respectively). The most effective model at first trimester was that which included only maternal characteristics, uterine a-PI and placental volume, similar to that of the most complex model built with all the factors analyzed in this study AUROC curve value 0.735 (95% CI 0.696-0.773). CONCLUSIONS: Placental volume and vascular indices were predictors factors of IUGR at first trimester. The effectiveness of combined predictive models for IUGR increased significantly after adding these factors, but the sensitivity of these models was too low for them to be considered useful in clinical practice.

First trimester placental volume and vascular indices in pregnancies complicated by preeclampsia.

OBJECTIVE: To analyze placental volume and vascularization at first trimester in women with pre-eclampsia, and secondarily, the effect of maternal characteristics on placental development and perinatal outcomes. METHODS: This was a prospective cohort study including women seen between 11 and 14 weeks of pregnancy. Biophysical and biochemical markers included in the screening program for aneuploidy were recorded. Placental volume and vascularization indices were obtained using three-dimensional power-Doppler imaging and Virtual Organ Computer-aided Analysis (VOCAL) techniques. RESULTS: We compared 84 women with pre-eclampsia versus 904 non-affected. Placental volume and all vascular indices were lower in those with pre-eclampsia. Multivariate analysis showed that parity and maternal weight had a significant effect on placental volume and vascularization indices (p = 0.004 and p = 0.011). In women with pre-eclampsia, multiparity showed a negative effect on placental volume, gestational age, birth weight and Apgar test score. By contrast, in the non-affected group, multiparity had a protective effect. Low maternal weight had a significantly worse effect on placental vascularization and perinatal outcomes in women with pre-eclampsia. CONCLUSIONS: Women with pre-eclampsia showed significantly lower placental volume and vascularization indices at first trimester. Multiparity and low maternal weight independently exacerbated the negative effects of pre-eclampsia on placental characteristics and perinatal outcomes. © 2015 John Wiley & Sons, Ltd.

Application of customized birth weight curves in the assessment of perinatal outcomes in infants of diabetic mothers.

OBJECTIVE: To determine whether the use of customized curves (CC) allows better detection of large- (LGA) or small-for-gestational age (SGA) infants at risk of adverse perinatal morbidity than non-CC in women with diabetes mellitus (DM). MATERIAL AND METHODS: A model of CC was applied to all infants of diabetic mothers (IDM) who attended the Hospital Universitario Materno Infantil de Canarias between 2008 and 2011. We compared perinatal outcomes of IDM classified as LGA or SGA by non-CC versus CC. RESULTS: One of 4 LGA was appropriate for gestational age (AGA) by CC (false-positive rate: 25%) and 30% of SGA by CC were not identified by non-CC (false-negative rate). False-positive LGA and SGA showed similar perinatal outcomes to AGA infants. The rates of cesarean section, cephalopelvic disproportion, total fetal distress and shoulder dystocia were significantly higher in false-negative LGA than in AGA by CC (p < 0.004, p < 0.02, p < 0.04 and p < 0.04, respectively). Fetal distress was higher in false-negative SGA than in AGA by CC (p < 0.03). DISCUSSION: In pregnancies complicated by DM, the use of CC allowed more accurate identification of LGA and SGA infants at high risk of perinatal morbidity than non-CC.

El Amaranto como Fuente de Reforzamiento: Un Estudio con Roedores / Amaranth as Reinforcement Source: A Rodent Study

Resumen: El presente estudio evalúa el amaranto como una alternativa a los reforzadores que se utilizan en la actualidad en los laboratorios experimentales con roedores. Se compararon diversos elementos como la preferencia de consumo, la motivación y el valor reforzante entre tres tipos de alimentos (dos tipos de pellets y amaranto) mediante cuatro experimentos con laberinto radial y consumo libre en 11 ratas de la cepa Wistar. Los resultados muestran que el amaranto tiene un alto valor reforzante ya que, se observó preferencia por su consumo comparado con los demás alimentos. Se propone al amaranto como una buena alternativa para usarse como reforzador con varias ventajas como la preferencia de consumo, su valor reforzante, su fácil accesibilidad en el país y que es más económico que los pellets importados.

Abstract: This study evaluates amaranth as an alternative to reinforcers which are currently used in experimental laboratories with rodents. We compared some elements such as consumer preference, motivation and reinforcing value of three types of food (two types of pellets and amaranth) through four experiments with free radial maze and free consumption in 11 Wistar rats. The results show that amaranth has a high reinforcing value. Also, there was a preference for amaranth consumption compared with the other two reinforcers. Amaranth is proposed as a good alternative for use as a reinforcer with several advantages such as consumer preference, its reinforcing value, accessibility in the country and that it is cheaper than the usual pellets.

Customized weight curves for Spanish fetuses and newborns.

OBJECTIVES: To construct a model of customized birthweight curves for use in a Spanish population. MATERIALS AND METHODS: Data of 20 331 newborns were used to construct a customized birthweight model. Multiple regression analysis was performed with newborn weight as the dependent variable and gestational age (GA), sex and maternal (M) weight, height, parity and ethnic origin as the independent variables. Using the new model, 27,507 newborns were classified as adequate for GA (AGA), large for GA (LGA) or small for GA (SGA). The results were compared with those of other customized and non-customized models. RESULTS: The resulting formula for the calculation of optimal neonatal weight was: Optimum weight (g) = 3289.681 + 135.413*GA40-14.063*GA40(2)-0.838*GA40(3) + 113.889 (if multiparous) + 165.560 (if origin = Asia) + 161.550 (South America) + 67.927 (rest of Europe) +109.265 (North Africa) + 9.392*Maternal-Height + 4.856*Maternal-Weight-0.098*Maternal-Weight(2) + 0.001*Maternal-Weight(3) + 67.188*Sex + GA40*(6.890*Sex + 9.032 (If multiparous) +0.006*Maternal-Height(3) + 0.260*Maternal-Weight) + GA40(2) (-0.378*Maternal-Height - 0.008*Maternal-Height(2)) + GA40(3) (-0.032*Maternal-Height). Weight percentiles were obtained from standard data using optimum weight variation coefficient. Agreement between our customized model and other Spanish models was "good" (κ = 0.717 and κ = 0.736; p < 0.001). CONCLUSIONS: Our model is comparable to other Spanish models, but offers the advantage of being customized, updated and freely available on the web. The 30.6% of infants classified as SGA using our model would be considered as AGA following a non-customized model.

First and second trimester screening for large for gestational age infants.

OBJECTIVES: To find the best early predictor model for fetal growth and large for gestational age (LGA) infants considering clinical, ultrasonographic and biochemical variables. METHOD: In 2097 singleton pregnancies at first trimester, we evaluated maternal characteristics, PAPP-A and ß-HCG proteins, fetal nuchal translucency thickness and uterine artery pulsatility index (UtA-PI). At second trimester fetal ultrasound biometry and UtA-PI were then measured. The relationships between birth weight and LGA and maternal characteristics, first and second trimester variables, and all variables combined, were studied. The performance of screening was determined by receiver operating characteristic curves analysis. RESULTS: Stepwise regression analysis showed that in the prediction of birthweight percentile there were significant contributions from all maternal factors, PAPP-A and Ut-A PI in the first trimester, and fetal biometric variables in the second trimester. Maternal charateristics combined with PAPP-A, ß-hCG, fetal NT and uterine artery PI identified 30.2 % LGA (FPR 10%). The combined model reached a sensitivity of 41.2% (FPR 10%) and 56.2% (FPR 20%). CONCLUSIONS: Sensitivity of the screening for LGA improves significantly after addition of second trimester ultrasound measurements to first trimester variables and maternal characteristics.

The effect of customized growth charts on the identification of large for gestational age newborns.

OBJECTIVE: To determine the effect of using customized vs. standard population birthweight curves to define large for gestational age (LGA) infants. METHODS: We analyzed data obtained from 2,097 singleton pregnancies using three different methods of classifying newborn birthweight: standard population curves, British or Spanish customized curves. We recorded maternal characteristics, proportion of LGA newborns when using each method, percentage of LGA according to one method but not for the others, and concordance between the different methods. RESULTS: The proportion of LGA newborns according to Spanish customized curves was significantly lower than that calculated using either standard general population birthweight curves or British curves (p < 0.001). A third (33.9%) of the infants classified as LGA according to the general population method were adequate for gestational age (AGA) when the Spanish customized curves were used, and 18.5% of non-LGA were LGA according to customized curves (p < 0.001). Concordance between the different models high, but on excluding AGA the concordance coefficient was low (Cohen's κ <0.4). CONCLUSIONS: The use of customized curves allows differentiation between constitutional LGA and cases of fetal overgrowth, leading to a decrease in the rate of both false-positives and negatives as well as the overall proportion of LGA babies.

Obstetric and perinatal outcome in women with twin pregnancy and gestational diabetes.

OBJECTIVE: The aim of this study was to evaluate pregnancy complications and obstetric and perinatal outcomes in women with twin pregnancy and GDM. STUD DESIGN: An observational multicentre retrospective study was performed and 534 pregnant woman and 1068 twins infants allocated into two groups, 257 with GDM and 277 controls, were studied. MAIN OUTCOME MEASURES: Pregnant women characteristics, hypertensive complications, preterm delivery rate, mode of delivery and birthweight were analysed. RESULTS: Pregnant women with GDM were older (p < 0.001) and had higher body mass index (p < 0.001) than controls. GDM was associated with higher risk of prematurity in twin pregnancy (odds ratio 1.64, 95% confidence interval [1.14-2.32], p = 0.005). This association was based on the association with other pregnancy complications. Birthweight Z-scores were significantly higher in the GDM group (p = 0.02). The rate of macrosomia was higher in the GDM group (p = 0.002) and small for gestational age (SGA) babies were significantly less frequent (p = 0.03). GDM was an independent predictor of macrosomia (p = 0.006). CONCLUSION: The presence of GDM in twin pregnancy was associated with a higher risk of hypertensive complications, prematurity and macrosomia, but significantly reduces the risk of SGA infants. Prematurity was related to the presence of other associated pregnancy complications.