Literature DB >> 22853920

Causes of delivery and outcomes of very preterm twins stratified to zygosity.

Juliane Spiegler1, Christoph Härtel, Lena Schulz, Nicole von Wurmb-Schwark, Thomas Hoehn, Angela Kribs, Helmut Küster, Jens Siegel, Christian Wieg, Jan Weichert, Egbert Herting, Wolfgang Göpel.   

Abstract

The increasing rates of preterm birth among twins implicate that solid data on associated risks and outcomes are required. Assessment of zygosity is often based on clinical criteria (evaluation of placenta; same gender, birth weight discordance as surrogate criteria for monochorionic/monozygotic twins). The aim of this study was to compare clinical versus genetic assessment of zygosity and to compare causes of preterm delivery as well as outcome data of very-low-birth-weight (VLBW; birth weight <1,500 g) twins stratified to zygosity. In a multicenter study, we selected n=176 sets of same gender twins and determined zygosity genetically. In a subgroup of 123 sets of twins, the attending physicians at the study centers were asked to document the parameter 'zygosity' (monozygotic/dizygotic) on the basis of their clinical judgment. Concordance between genetic and clinical assessment was 62.7% for monozygotic twins and 88.9% for dizygotic twins, respectively. Outcome parameters (death, BPD, ROP, NEC, IVH) were comparable in both groups. Genetically dizygotic twins were significantly more often born due to intrauterine infection (33% vs. 20% in monozygotic twins, p<.01) and antenatal antibiotics were more frequently given to mothers of dizygotic twins (62% vs. 47% in monozygotic twins, p<.01). Obstetric complications such as twin-twin-transfusion-syndrome were only seen in monozygotic twins as expected. The unexpected increase of antenatal antibiotic treatment and birth due to intrauterine infection in dizygotic twins should be confirmed in additional VLBW twin-cohorts.

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Year:  2012        PMID: 22853920     DOI: 10.1017/thg.2012.33

Source DB:  PubMed          Journal:  Twin Res Hum Genet        ISSN: 1832-4274            Impact factor:   1.587


  3 in total

1.  About the power of biostatistics in sibling analysis-comparison of empirical and simulated data.

Authors:  Nicole von Wurmb-Schwark; Elena Podruks; Thorsten Schwark; Wolfgang Göpel; Rolf Fimmers; Micaela Poetsch
Journal:  Int J Legal Med       Date:  2015-08-21       Impact factor: 2.686

2.  Altered Intracellular ATP Production by Activated CD4+ T-Cells in Very Preterm Infants.

Authors:  Giulia Aquilano; Maria Grazia Capretti; Francesca Nanni; Luigi Corvaglia; Arianna Aceti; Liliana Gabrielli; Angela Chiereghin; Giacomo Faldella; Tiziana Lazzarotto
Journal:  J Immunol Res       Date:  2016-12-13       Impact factor: 4.818

3.  Cord blood hematopoietic cells from preterm infants display altered DNA methylation patterns.

Authors:  Olivia M de Goede; Pascal M Lavoie; Wendy P Robinson
Journal:  Clin Epigenetics       Date:  2017-04-20       Impact factor: 6.551

  3 in total

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