Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Eva Raabe is active.

Publication


Featured researches published by Eva Raabe.


BioMed Research International | 2014

Meconium indicators of maternal alcohol abuse during pregnancy and association with patient characteristics.

Tamme W. Goecke; Pascal Burger; Peter A. Fasching; Abdulsallam Bakdash; Anne Engel; Lothar Häberle; Franziska Voigt; Florian Faschingbauer; Eva Raabe; Nicolai Maass; Michael Rothe; Matthias W. Beckmann; Fritz Pragst; Johannes Kornhuber

Aim. Identification of women with moderate alcohol abuse during pregnancy is difficult. We correlated self-reported alcohol consumption during pregnancy and patient characteristics with objective alcohol indicators measured in fetal meconium. Methods. A total of 557 women singleton births and available psychological tests, obstetric data and meconium samples were included in statistical analysis. Alcohol metabolites (fatty acid ethyl esters (FAEEs) and ethyl glucuronide (EtG)), were determined from meconium and correlated with patient characteristics. Results. We found that 21.2% of the 557 participants admitted low-to-moderate alcohol consumption during pregnancy. Of the parameters analyzed from meconium, only EtG showed an association with alcohol history (P < 0.01). This association was inverse in cases with EtG value above 120 ng/g. These values indicate women with most severe alcohol consumption, who obviously denied having consumed alcohol during pregnancy. No other associations between socioeconomic or psychological characteristics and the drinking status (via meconium alcohol metabolites) could be found. Conclusion. Women who drink higher doses of ethanol during pregnancy, according to metabolite measures in meconium, might be less likely to admit alcohol consumption. No profile of socioeconomic or psychological characteristics of those women positively tested via meconium could be established.


Ultrasound in Obstetrics & Gynecology | 2016

Single deepest vertical pocket or amniotic fluid index as evaluation test for predicting adverse pregnancy outcome (SAFE trial): a multicenter, open‐label, randomized controlled trial

Sven Kehl; Anika Schelkle; A. Thomas; Alexander Puhl; Katja Meqdad; Benjamin Tuschy; Sebastian Berlit; Christel Weiss; Christian M. Bayer; Jutta Heimrich; Ulf Dammer; Eva Raabe; M. Winkler; Florian Faschingbauer; Matthias W. Beckmann; Marc Sütterlin

To determine whether the amniotic fluid index (AFI) or the single deepest vertical pocket (SDP) technique for estimating amniotic fluid volume is superior for predicting adverse pregnancy outcome.


BioMed Research International | 2014

Genetic Variants in the Genes of the Stress Hormone Signalling Pathway and Depressive Symptoms during and after Pregnancy

Michael Schneider; Anne Engel; Peter A. Fasching; Lothar Häberle; Elisabeth B. Binder; Franziska Voigt; Jennifer Grimm; Florian Faschingbauer; Anna Eichler; Ulf Dammer; Dirk Rebhan; Manuela Amann; Eva Raabe; Tamme W. Goecke; Carina Quast; Matthias W. Beckmann; Johannes Kornhuber; Anna Seifert; Stefanie Burghaus

Purpose. The aim of this study was to investigate whether single nucleotide polymorphisms (SNPs) in genes of the stress hormone signaling pathway, specifically FKBP5, NR3C1, and CRHR1, are associated with depressive symptoms during and after pregnancy. Methods. The Franconian Maternal Health Evaluation Study (FRAMES) recruited healthy pregnant women prospectively for the assessment of maternal and fetal health including the assessment of depressiveness. The German version of the 10-item Edinburgh Postnatal Depression Scale (EPDS) was completed at three time points in this prospective cohort study. Visit 1 was at study entry in the third trimester of the pregnancy, visit 2 was shortly after birth, and visit 3 was 6–8 months after birth. Germline DNA was collected from 361 pregnant women. Nine SNPs in the above mentioned genes were genotyped. After construction of haplotypes for each gene, a multifactorial linear mixed model was performed to analyse the depression values over time. Results. EPDS values were within expected ranges and comparable to previously published studies. Neither did the depression scores differ for comparisons among haplotypes at fixed time points nor did the change over time differ among haplotypes for the examined genes. No haplotype showed significant associations with depressive symptoms severity during pregnancy or the postpartum period. Conclusion. The analysed candidate haplotypes in FKBP5, NR3C1, and CRHR1 did not show an association with depression scores as assessed by EPDS in this cohort of healthy unselected pregnant women.


Ultraschall in Der Medizin | 2014

Sonographic weight estimation in small for gestational age fetuses

Ulf Dammer; Eva Raabe; Sven Kehl; Matthias Schmid; Andreas Mayr; R. L. Schild; Matthias W. Beckmann; Florian Faschingbauer

PURPOSE To determine the accuracy of sonographic weight estimation (WE) for small-for-gestational-age (SGA) fetuses, and to further differentiate the evaluation between symmetric and asymmetric SGA fetuses. MATERIALS AND METHODS The accuracy of WE in SGA fetuses (n = 898) was evaluated using 14 sonographic models and was further differentiated between symmetric (n = 750) and asymmetric (n = 148) SGA fetuses. SGA fetuses were considered to be asymmetric with a head circumference to abdominal circumference ratio above the 95th percentile. The accuracy of the different formulas was compared using means of percentage errors (MPE), medians of absolute percentage errors (MAPE), and proportions of estimates within 10 % of actual birth weight. RESULTS RESULTS for the subgroup of asymmetric SGA fetuses differed significantly from the subgroup of symmetric SGA fetuses. MPE values were closer to zero with most of the formulas in the asymmetric SGA group. Apart from the Siemer, Shepard, Merz and Warsof equations, all formulas showed an underestimation of fetal weight in asymmetric SGA fetuses. In contrast, in the symmetric SGA group, all of the formulas commonly used for fetuses in a normal weight range showed a systematic overestimation of fetal weight. Overall the best accuracy was achieved by using the Sabbagha equation (MPE 1.7 %; SD 9.0 %; MAPE: 6.0). CONCLUSION An accurate WE in SGA fetuses is feasible using the Sabbagha formula. However, one has to be aware of the significant differences in WE between symmetric and asymmetric SGA fetuses.


European Journal of Cancer Prevention | 2014

Assessment of breast volume changes during human pregnancy using a three-dimensional surface assessment technique in the prospective CGATE study.

Christian M. Bayer; Mayada R. Bani; Michael Schneider; Ulf Dammer; Eva Raabe; Lothar Haeberle; Florian Faschingbauer; Sabine Schneeberger; Stefan P. Renner; Dorothea Fischer; R. Schulz-Wendtland; Peter A. Fasching; Matthias W. Beckmann; Sebastian M. Jud

Pregnancies and breastfeeding are two important protective factors concerning breast cancer risk. Breast volume and breast volume changes might be a breast phenotype that could be monitored during pregnancy and breastfeeding without ionizing radiation or expensive equipment. The aim of the present study was to document changes in breast volume during pregnancy prospectively. In the prospective Clinical Gravidity Association Trial and Evaluation programme, pregnant women were followed up prospectively from gestational week 12 to birth. Three-dimensional breast surface imaging and subsequent volume assessments were performed. Factors influencing breast volume at the end of the pregnancy were assessed using linear regression models. Breast volumes averaged 420 ml at the start of pregnancy and 516 ml at the end of pregnancy. The first, second and third quartiles of the volume increase were 41, 95 and 135 ml, respectively. Breast size increased on average by 96 ml, regardless of the initial breast volume. Breast volume increases during pregnancy, but not all womens’ breasts respond to pregnancy in the same way. Breast volume changes during pregnancy are an interesting phenotype that can be easily assessed in further studies to examine breast cancer risk.


Journal of Ultrasound in Medicine | 2016

A New Sonographic Weight Estimation Formula for Small-for-Gestational-Age Fetuses

Florian Faschingbauer; Ulf Dammer; Eva Raabe; Sven Kehl; Matthias Schmid; R. L. Schild; Matthias W. Beckmann; Andreas Mayr

The purpose of this study was to develop a new specific weight estimation formula for small‐for‐gestational‐age (SGA) fetuses that differentiated between symmetric and asymmetric growth patterns.


Journal of Ultrasound in Medicine | 2017

Longitudinal z Score Distribution in Sonographic Fetal Biometry: Influence of Examiner and Experience

Florian Faschingbauer; Jutta Heimrich; Eva Raabe; Sven Kehl; Michael Schneider; Matthias Schmid; Matthias W. Beckmann; R. L. Schild; Andreas Mayr

To analyze the influence of examiners and their experience on the quality of biometric measurements via the evolution of z scores in a longitudinal multicenter study.


Alcohol | 2016

Did you drink alcohol during pregnancy? Inaccuracy and discontinuity of women's self-reports: On the way to establish meconium ethyl glucuronide (EtG) as a biomarker for alcohol consumption during pregnancy.

Anna Eichler; Juliane Grunitz; Jennifer Grimm; Lisa Walz; Eva Raabe; Tamme W. Goecke; Matthias W. Beckmann; Oliver Kratz; Hartmut Heinrich; Gunther H. Moll; Peter A. Fasching; Johannes Kornhuber


Archives of Gynecology and Obstetrics | 2015

Intrapartum sonographic weight estimation

Florian Faschingbauer; Ulf Dammer; Eva Raabe; Markus P. Schneider; C. Faschingbauer; Matthias Schmid; R. L. Schild; Matthias W. Beckmann; Sven Kehl; Andreas Mayr


Archives of Gynecology and Obstetrics | 2015

Sonographic weight estimation in fetal macrosomia: influence of the time interval between estimation and delivery

Florian Faschingbauer; Ulf Dammer; Eva Raabe; Markus P. Schneider; C. Faschingbauer; Matthias Schmid; Andreas Mayr; R. L. Schild; Matthias W. Beckmann; Sven Kehl

Collaboration


Dive into the Eva Raabe's collaboration.

Top Co-Authors

Avatar

Matthias W. Beckmann

University of Erlangen-Nuremberg

View shared research outputs
Top Co-Authors

Avatar

Florian Faschingbauer

University of Erlangen-Nuremberg

View shared research outputs
Top Co-Authors

Avatar

Sven Kehl

University of Erlangen-Nuremberg

View shared research outputs
Top Co-Authors

Avatar

Ulf Dammer

University of Erlangen-Nuremberg

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

R. L. Schild

University Hospital Bonn

View shared research outputs
Top Co-Authors

Avatar

Andreas Mayr

University of Erlangen-Nuremberg

View shared research outputs
Top Co-Authors

Avatar

Peter A. Fasching

University of Erlangen-Nuremberg

View shared research outputs
Top Co-Authors

Avatar

Johannes Kornhuber

University of Erlangen-Nuremberg

View shared research outputs
Top Co-Authors

Avatar

Anna Eichler

University of Erlangen-Nuremberg

View shared research outputs
Researchain Logo
Decentralizing Knowledge