21 research outputs found

    Strategies in intrauterine growth restriction at term

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    To establish consensus and to collect evidence on the best management policy in intrauterine growth restriction (IUGR) at term, the DIGITAT-trial (Disproportionate Intrauterine Growth Intervention Trial At Term) was designed. The aim of the DIGITAT study was to compare the effect of induction of labour with an expectant management monitoring mother and child for suspected intrauterine growth restriction at term in singleton pregnancies in cephalic presentation beyond 36 weeks gestation on neonatal and obstetrical outcomes. The results of the DIGITAT study including the randomised trial form the basis of this thesis.ZonMwUBL - phd migration 201

    Induction versus expectant monitoring for intrauterine growth restriction at term: Randomised equivalence trial (DIGITAT)

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    Objective: To compare the effect of induction of labour with a policy of expectant monitoring for intrauterine growth restriction near term. Design: Multicentre randomised equivalence trial (the Disproportionate Intrauterine Growth Intervention Trial At Term (DIGITAT)). Setting: Eight academic and 44 non-academic hospitals in the Netherlands between November 2004 and November 2008. Participants: Pregnant women who had a singleton pregnancy beyond 36+0 weeks' g

    Strategies in intrauterine growth restriction at term

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    To establish consensus and to collect evidence on the best management policy in intrauterine growth restriction (IUGR) at term, the DIGITAT-trial (Disproportionate Intrauterine Growth Intervention Trial At Term) was designed. The aim of the DIGITAT study was to compare the effect of induction of labour with an expectant management monitoring mother and child for suspected intrauterine growth restriction at term in singleton pregnancies in cephalic presentation beyond 36 weeks gestation on neonatal and obstetrical outcomes. The results of the DIGITAT study including the randomised trial form the basis of this thesis

    The relationship between vaginal pH and bacterial vaginosis as diagnosed using qPCR in an asymptomatic subfertile population

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    Purpose Bacterial vaginosis (BV) is a dysbiosis of the vaginal microbiome and a condition found in 20-30% of all women. Literature describing the possible link between BV and subfertility is increasing. Newer techniques such as quantitative polymerase chain reactions (qPCR) detect BV more accurately than traditional methods but come with high costs. The association between pH and BV as diagnosed using traditional methods is well-established in a symptomatic population. This study is the first to investigate the association between pH and BV diagnosed by qPCR in an asymptomatic subfertile population and to examine the usefulness of pH as a means of cost reduction.Methods Data of 170 pH-qPCR combinations were used from a prospective cohort study examining bacterial vaginosis in a subfertile population. 102 women received a vaginal swab and pH measurement at baseline and subsequent advanced reproductive technology (ART) treatments. The swabs are analysed using the -AmpliSens (R) Florocenosis/Bacterial vaginosisFRT qPCR kit.Results pH is strongly associated with BV as diagnosed by qPCR (OR 3.06, p = 0.000, CI 1.65-5.68). The cut-off point for pH >= 4.7 maximised diagnostic performance [AUC 0.74 (CI 0.66-0.83), sensitivity 76%] and reduced costs by 60%.Conclusion This study shows that the vaginal pH for a multi-ethnic, asymptomatic population of women attending fertility clinics is strongly associated with BV qPCR outcome. Using the cut-off of pH of 4.7 has a high sensitivity for diagnosis of BV by qPCR and can be achieved at a cost reduction of 60%

    Bacterial vaginosis in a subfertile population undergoing fertility treatments: a prospective cohort study

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    PurposeThis study investigates the role of bacterial vaginosis (BV) on pregnancy rates during various fertility treatments. BV is known to influence several obstetric outcomes, such as preterm delivery and endometritis. Only few studies investigated the effect of BV in subfertile women, and studies found a negative effect on fecundity especially in the in vitro fertilisation population.MethodsObservational prospective study, 76 couples attending a fertility clinic in the Netherlands between July 2019 and June 2022, undergoing a total of 133 attempts of intra uterine insemination, in vitro fertilization or intra cytoplasmatic sperm injection. Vaginal samples taken at oocyte retrieval or insemination were analysed on qPCR BV and 16S rRNA gene microbiota analysis of V1-V2 region. Logistic regression with a Generalized Estimated Equations analysis was used to account for multiple observations per couples.ResultsA total of 26% of the 133 samples tested positive for BV. No significant differences were observed in ongoing pregnancy or live birth rates based on BV status (OR 0.50 (0.16-1.59), aOR 0.32 (0.09-1.23)) or microbiome community state type. There was a tendency of more miscarriages based on positive BV status (OR 4.22 (1.10-16.21), aOR 4.28 (0.65-28.11)) or community state type group III and IV. On baseline qPCR positive participants had significantly higher body mass index and smoked more often. Odds ratios were adjusted for smoking status, body mass index, and socioeconomic status.ConclusionBacterial vaginosis does not significantly impact ongoing pregnancy rates but could affect miscarriage rates.Research into fetal development and medicin

    Developing an algorithm for the diagnosis of abnormal vaginal discharge in a dutch clinical setting: a pilot study

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    Abnormal vaginal discharge may be caused by bacterial vaginosis, vulvovaginal candidiasis, trichomoniasis and/or aerobic vaginitis. For the development of a diagnostic algorithm, tree-based classification analysis was performed on symptoms, signs and bedside test results of 56 patients, and laboratory tests (culture, Nugent score, qPCRs) were compared. Amplicon sequencing of the 16S rRNA gene was used as reference test for bacterial vaginosis and aerobic vaginitis, culture for vulvovaginal candidiasis and qPCR for trichomoniasis. For bacterial vaginosis, the best diagnostic algorithm was to screen at the bedside with a pH and odour test and if positive, to confirm by qPCR (sensitivity 94%; specificity 97%) rather than Nugent score (sensitivity of 59%; specificity 97%; P = 0.031). The analysis for the other infections was less conclusive due to the low num -ber of patients with these infections. For bacterial vaginosis, the developed algorithm is sensitive, specific, and reduces the need for laboratory tests in 50% of the patients. (c) 2021 Elsevier Inc. All rights reserved.Molecular basis of bacterial pathogenesis, virulence factors and antibiotic resistanc
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