Identification of vaginal microbiome associated with IVF pregnancy

The factors that cause a preterm birth (PTB) are not completely understood up to date. Moreover, PTB is more common in pregnancies achieved by in-vitro fertilization (IVF) than in spontaneous pregnancies. Our aim was to compare the composition of vaginal microbiome at 12 weeks of gestation between women who conceived naturally or through IVF in order to study whether IVF PTB-risk could be related to vaginal microbiome composition. We performed an observational, prospective and multicentre study among two public hospitals and a fertility private clinic in Spain. Vaginal swabs from 64 pregnant women at 12 weeks of gestation were collected to analyse the microbiome composition by sequencing the V3–V4 region of the 16S rRNA. Our results showed that the vaginal microbiome signature at 12 weeks of pregnancy was different from women who conceived naturally or through IVF. The beta diversity and the genus composition were different between both cohorts. Gardnerella, Neisseria, Prevotella, and Staphylococcus genus were enriched genus in the vaginal microbiome from the IVF group, allowing us to create a balance model to predict both cohorts. Moreover, at species level the L. iners abundance was higher and L. gasseri was lower in the IVF group. As a conclusion, our findings were consistent with a proposed framework in which IVF pregnancy are related to risk for preterm birth (PTB) suggesting vaginal microbiome could be the reason to the relation between IVF pregnancy and risk for PTB

Rationalisation of the caesarean section rate in a tertiary referral hospital using the Robson classification

The aim of this study was to implement the Robson Ten Groups Classification System (RTGCS) to identify the main contributors to the caesarean section (CS) rate and to evaluate whether the introduction of a plan of obstetrical interventions reduced this rate. An observational retrospective cross-sectional study was conducted during two time periods at Alicante University General Hospital. In the pre-implementation period (2009–2012), RTGCS was applied to identify the main groups contributing to the overall CS rate. In the post-implementation period (2013–2017), RTGCS was applied again to identify changing trends in CS rates. In all, 11,034 deliveries during the pre-intervention period and 11,453 during the post-intervention period were analysed. The overall CS rate was 23.9% and 20.9%, respectively. There were no changes in perinatal outcomes. In the post-intervention period, there was a significant decrease of the CS rate in the groups of targeted interventions 1, 2, 3, 4, 5, and 8B.Impact statement What is already known on this subject? High CS rates are becoming a public health problem because of risks, costs, excessive medicalisation, and abuse of resources. RTGCS provides a framework for auditing and analysing CS rates. What do the results of this study add? RTGCS can identify the groups that have the greatest impact on the CS rate and monitor changes in it consequent to policy changes. What are the implications of these findings for clinical practice? The introduction of a strategic plan with evidence-based clinical interventions may have a greater effect on the CS rate than other features justifying the increase in the incidence of CS