scholarly journals P07.08: First trimester evaluation of the tricuspid flow: influence of body mass index and gestational age

2012 ◽  
Vol 40 (S1) ◽  
pp. 195-195
Author(s):  
G. R. Lobo ◽  
P. M. Nowak ◽  
A. P. Panigassi ◽  
A. F. Lima ◽  
L. Nardozza ◽  
...  
2016 ◽  
Vol 65 (3) ◽  
pp. 12-17
Author(s):  
Viktor A Mudrov

Selection of the optimal tactics of pregnancy and childbirth significantly depends on the expected volume of amniotic fluid. The amount of amniotic fluid reflects a condition of a fetus and changes at pathological conditions of both a fetus, and an uteroplacental complex. The aim of the study was a modification of methods for determining the expected volume of amniotic fluid. On the basis of maternity hospitals Trans-Baikal Region in the years 2013-2015 was held retrospective and prospective analysis of 300 labor histories, which were divided into 3 equal groups: 1 group - pregnant women with a body mass index (BMI) for Quetelet less than 24, Group 2 - with a BMI from 24 to 30, group 3 - with a BMI more than 30. In order to determine the expected volume of amniotic fluid were used the subjective method, the Chamberlain’s and Phelan’s methods. The error in determining volume of amniotic fluid by the existing methods exceeds 10 %, that defined need of creation of a quantitative method. On the basis of mathematical and 3d-modeling of the volume of amniotic fluid and fetal weight determined pattern change, which is expressed by the formula: VAF = IAF × М × π / GA2, where IAF - index of amniotic fluid (mm), M - fetal weight (g), GA - gestational age (weeks). Through a comprehensive analysis of anthropometric research of the pregnant women defined formula’s volume of amniotic fluid: V = 0,017 × HUF × (AC - 25 × BMI / GA)2 - М, where GA - gestational age (weeks), AC - abdominal circumference of the pregnant women (cm), BMI - body mass index for Quetelet in the first trimester of pregnancy (kg/m2), HUF - height of an uterine fundus (cm), M - the estimated fetal weight (g). In calculating volume of amniotic fluid according to the proposed ultrasonic formula error does not exceed 5,3 %, anthropometric formula error does not exceed 10,2 %. Thus, the method has a smaller error compared to the standard, and can be used to reliably determine volume of amniotic fluid in II and III trimester of pregnancy.


2012 ◽  
Vol 40 (S1) ◽  
pp. 123-124
Author(s):  
P. M. Nowak ◽  
G. R. Lobo ◽  
A. P. Panigassi ◽  
A. F. Lima ◽  
L. Nardozza ◽  
...  

2018 ◽  
Vol 35 (10) ◽  
pp. 964-971 ◽  
Author(s):  
Amelie Boutin ◽  
Regina Dembickaja ◽  
Mercedes Campanero ◽  
Kypros Nicolaides ◽  
Suzanne Demers

Objective Preeclampsia is associated with placental vascularization disorders. Ultrasonographic sphere biopsy (USSB) of the placenta can estimate the vascularization of the placenta and potentially the risk of preeclampsia. We aimed to explore the factors related to placental vascularization measured with USSB in the first trimester. Study Design A prospective cohort was conducted in women recruited at 11 to 14 weeks. Three-dimensional acquisition of the placenta with power Doppler was undertaken along with crown-rump length (CRL). Using USSB of the full placental thickness at its center, vascularization index, flow index, and vascular flow index were measured. Pearson's correlation coefficients and multivariate linear regression were used to correlate the vascularization indices with CRL and maternal characteristics. Results A total of 5,612 women were recruited at a mean gestational age of 12.8 ± 0.6 weeks. We observed that vascularization indices increase with CRL. After adjustment, we observed that maternal age, ethnicity other than Caucasian, and body mass index were associated with lower vascularization indices, while diabetes, smoking, and assisted reproduction technology were not. We observed that parous women without history of preeclampsia had greater vascularization indices compared with nulliparous women. Conclusion Placental vascularization indices assessed by USSB fluctuate with gestational age, ethnicity, maternal age, body mass index, and previous pregnancy history.


2012 ◽  
Vol 40 (S1) ◽  
pp. 195-195
Author(s):  
G. R. Lobo ◽  
P. M. Nowak ◽  
A. P. Panigassi ◽  
A. F. Lima ◽  
L. Nardozza ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yue Chen ◽  
Ke Wan ◽  
Yunhui Gong ◽  
Xiao Zhang ◽  
Yi Liang ◽  
...  

AbstractThe relevance of pregestational body mass index (BMI) on adverse pregnancy outcomes remained unclear in Southwest China. This study aimed to investigate the overall and age-category specific association between pre-gestational BMI and gestational diabetes mellitus (GDM), preeclampsia, cesarean delivery, preterm delivery, stillbirth, macrosomia, and small-for-gestational age (SGA) or large-for-gestational age (LGA) neonates in Southwest China. Furthermore, it explores the relative importance of influence of pregravid BMI and maternal age on pregnancy outcomes. 51,125 Chinese singleton pregnant women were recruited as study subjects. Multiple logistic regression models were used to examine the influence of pre-pregnancy BMI on adverse pregnancy outcomes. Gradient boosting machine was used to evaluate the relative importance of influence of pregravid BMI and maternal age on pregnancy outcomes. It is found that women who were overweight or obese before pregnancy are at higher risk of adverse pregnancy outcomes except for SGA neonates, while pre-pregnancy underweight is a protective factor for GDM, preeclampsia, cesarean delivery, macrosomia and LGA, but not SGA. Younger mothers are more susceptible to GDM and macrosomia neonates, while older mothers are more prone to preeclampsia. Pre-pregnancy BMI has more influence on various pregnancy outcomes than maternal age. To improve pregnancy outcomes, normal BMI weight as well as relatively young maternal ages are recommended for women in child-bearing age.


2004 ◽  
Vol 104 (2) ◽  
pp. 286-292 ◽  
Author(s):  
Christine J. Cheng ◽  
Kerry Bommarito ◽  
Akihiko Noguchi ◽  
William Holcomb ◽  
Terry Leet

2021 ◽  
pp. 50-54

Objective: In our study, the results of oral glucose tolerance test (OGTT) and other hemogram parameters of pregnant women with and without gestational diabetes mellitus (GDM) were compared. The aim of our study is to investigate the benefit of these parameters in predicting GDM risk. Material and Method: The study was planned as a descriptive, retrospective and cross-sectional study. It was included 218 pregnant women who applied to the Gynecology and Obstetrics Clinic of Amasya Sabuncuoğlu Şerefeddin Training and Research Hospital between January 01, 2019 and January 31, 2020. It was examined complete blood count parameters, ultrasound findings, complete urinalysis, first trimester blood glucose, body mass index, age, and gravide parameters the patients we included in the study. The results were analyzed retrospectively and was evaluated the statistical significance relationship with gestational diabetes. Results: There was no statistically significant difference in age, body mass index (BMI), obesity status and number of gravida between the pregnant women who were examined and those without GDM (p> 0.05). The hemoglobin, platelet count, mean platelet volume (MPV), mean corpuscular volume (MCV), mean corpuscular hemoglobine (MCH), and mean corpuscular hemoglobin concentration (MCHC) values, and neutrophil, lymphocyte, monocyte and basophil counts, urine density and femur length were statistically significant. There was no difference (p> 0.05). No statistically significant difference was found in terms of neutrophile lymphocyte ratio (NLR), neutrophile monocyte ratio (NMR), platelet lymphocyte ratio (PLR), monocyte eosinophil ratio (MER), platelet MPV ratio (PMPVR), and platelet neutrophile ratio (PNR) values (p> 0.05) Conclusion: HbA1c, hematocrit and blood glucose in the first trimester may be predictors of GDM. In addition, we think that further studies are needed in a prospective design in more patients in terms of others parameters.


2018 ◽  
Vol 120 (4) ◽  
pp. 6441-6448 ◽  
Author(s):  
Negin Rezavand ◽  
Saba Tabarok ◽  
Ziba Rahimi ◽  
Asad Vaisi‐Raygani ◽  
Ehsan Mohammadi ◽  
...  

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