Predicting spontaneous preterm birth in asymptomatic high-risk women with cervical cerclage.

OBJECTIVE: To determine the performance of the predictive markers of spontaneous preterm birth, cervicovaginal quantitative fetal fibronectin (fFN) and cervical length, in asymptomatic high-risk women with transabdominal, history-indicated or ultrasound-indicated cervical cerclage. METHODS: This was a secondary analysis of a prospective cohort of asymptomatic high-risk women with cervical cerclage and no other prophylactic intervention (including progesterone), who attended the preterm birth clinic at a central London teaching hospital between October 2010 and September 2016. Women had either transabdominal cerclage, placed prior to conception, history-indicated cerclage, placed before 14 weeks' gestation, or ultrasound-indicated cerclage for a short cervix (< 25 mm), placed before 24 weeks. All women underwent serial cervical length assessment on transvaginal ultrasound in the second trimester (16-28 weeks), and quantitative fFN testing from 18 weeks onward. Test performance was analyzed for the prediction of spontaneous preterm birth before 30 weeks (cerclage failure), 34 weeks and 37 weeks, using receiver-operating-characteristics (ROC)-curve analysis. RESULTS: Overall, 181 women were included in the analysis. Cervical length and fFN were strong predictors of spontaneous preterm birth before 30 weeks in women with cerclage, with areas under the ROC curve (AUC) of 0.86 (95% CI, 0.79-0.94) and 0.84 (95% CI, 0.75-0.92), respectively. Cervical length was a better predictor of preterm birth before 30 weeks in women with history-indicated compared to those with ultrasound-indicated cerclage, although both showed clinical utility (AUC, 0.96 (95% CI, 0.91-1.00) vs 0.79 (95% CI, 0.66-0.91); P = 0.01). Quantitative fFN was a strong predictor of spontaneous preterm birth before 30 weeks in women with history-indicated cerclage (AUC, 0.91 (95% CI, 0.75-1.00)) and retained clinical utility in those with ultrasound-indicated cerclage (AUC, 0.76 (95% CI, 0.64-0.89)). There were no spontaneous deliveries before 34 weeks in women with a transabdominal cerclage, so AUC was not calculated. Delivery was delayed significantly in this group (P < 0.01). CONCLUSIONS: Cervical length and quantitative fFN retain clinical utility for the prediction of spontaneous preterm birth in women with cervical cerclage, and prediction is best in women with a history-indicated stitch. These tests can be relied upon to discriminate risk and have utility when planning clinical management with regard to treatment failure. © 2023 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.

Clinicians' experiences of using and implementing a medical mobile phone app (QUiPP V2) designed to predict the risk of preterm birth and aid clinical decision making.

BACKGROUND: As the vast majority of women who present in threatened preterm labour (TPTL) will not deliver early, clinicians need to balance the risks of over-medicalising the majority of women, against the potential risk of preterm delivery for those discharged home. The QUiPP app is a free, validated app which can support clinical decision-making as it produces individualised risks of delivery within relevant timeframes. Recent evidence has highlighted that clinicians would welcome a decision-support tool that accurately predicts preterm birth. METHODS: Qualitative interviews were undertaken as part of the EQUIPTT study (The Evaluation of the QUiPP app for Triage and Transfer) (REC: 17/LO/1802) which aimed to evaluate the impact of the QUiPP app on management of TPTL. Individual semi-structured telephone interviews were used to explore clinicians' (obstetricians' and midwives') experiences of using the QUiPP app and how it was implemented at their hospital sites. Thematic analysis was chosen to explore the meaning of the data, through a framework approach. RESULTS: Nineteen participants from 10 hospital sites in England took part. Data analysis revealed three overarching themes which were: 'experience of using the app', 'how QUiPP risk changes practice' and 'successfully adopting QUiPP: context is everything'. With these final themes we appeared to have achieved our aim of exploring the clinicians' experiences of using and implementing the QUiPP app. CONCLUSION: This study explored different clinician's experiences of implementing the app. The organizational and cultural context at different sites appeared to have a large impact on how well the QUiPP app was implemented. Future work needs to be undertaken to understand how best to embed the intervention within different settings. This will inform scale up of QUiPP app use across the UK and ensure that clinicians have access to this free, easy-to-use tool which can positively aid clinical decision making when caring for women in TPTL. CLINICAL TRIAL REGISTRY AND REGISTRATION NUMBER: ISRCTN 17846337, registered 08th January 2018, https://doi.org/10.1186/ISRCTN17846337 .

Ten women's decision-making experiences in threatened preterm labour: Qualitative findings from the EQUIPTT trial.

BACKGROUND: Clinical triage of women in threatened preterm labour (TPTL) could be improved through utilising the QUiPP App, as symptoms alone are poor predictors of early delivery. As most women in TPTL ultimately deliver at term, they must weigh this likelihood with their own personal considerations, and responsibilities. The importance of personal considerations was highlighted by the 2015 Montgomery ruling, and the significance of shared decision-making. AIMS: Through qualitative interviews, the primary aim was to explore women's decision-making experiences in TPTL through onset of symptoms, triage, clinical assessment, and discharge. METHODS: Qualitative interviews were undertaken as part of the EQUIPTT study (REC: 17/LO/1802) using a semi-structured interview schedule. Descriptive labels of the coding scheme were applied to the raw transcript data. This coding scheme was then increasingly refined into key themes and allowed parallels to be made within and between cases. RESULTS: Ten ethnically diverse women who presented at six different London hospitals sites in TPTL were interviewed. Three final themes emerged from the data incorporating 10 sub-themes, 'Seeking help', 'Being "assessed" vs making clinical decisions together', and 'End result.' CONCLUSION: Women described their busy lives and the need to juggle their commitments. Participants drew comparisons between their TPTL symptoms and 'period pain,' contrasting to typical medical terminology. Shared decision-making and the clinician-patient relationship could be improved through clinicians utilizing terminology women understand and relate to. Women used language that highlighted the clinician-patient power balance. While not fully involved in shared decision-making, women were overall satisfied with their care.

Impact of a medical mobile phone app (QUiPP) for predicting preterm birth on the anxiety and decisional conflicts faced by women in threatened preterm labour.

BACKGROUND: The QUiPP app is a free, validated mobile phone application (app) that supports clinical decision-making for women in threatened preterm labour by providing an individualised risk of delivery within clinically important time points. Alongside generating a percentage risk score, the QUiPP app also provides the risk score in an infographic donut chart, allowing the clinician to communicate with the woman in an easy to understand format. Informing women of their risk status using the QUIPP app may help to reduce anxiety in women and decrease decisional conflict. METHOD: A subset of participants from the EQUIPTT study [REC Ref. 17/LO/1802] were asked to complete a questionnaire booklet which was used to evaluate decisional conflict and anxiety. Seven sites were randomised to the QUiPP app intervention (to use as a decision and communication tool) and six sites were randomised to the control (continued their normal practice). The first section of the questionnaire booklet was completed by the woman before her assessment, and the second section after. The pre and postassessment anxiety scores utilised the Visual Analogue Scale for Anxiety (Hornblow and Kidson, 1976). The Decisional Conflict Scale (O'Connor, 1995) measured decisional conflict post assessment. The data were then analysed to determine the impact of the QUiPP App on the anxiety and decisional conflicts faced by women in threatened preterm labour. RESULTS: Questionnaires were completed by 221 women from 12 of the potential 13 sites. After exclusions 202 questionnaires were included in the analysis. There was a significant reduction in difference between anxiety scores before and after clinical assessment. While there were reductions in anxiety and decisional conflict for women who were aware of the QUiPP app use, this failed to reach statistical significance. CONCLUSIONS: The QUiPP app has potential to reduce anxiety and decisional conflict in women who are aware that it is being used in their care. Additional work is required to ensure clinicians are aware of the QUiPP app and optimise using it as a communication tool when counselling women.

Commentary on a combined approach to the problem of developing biomarkers for the prediction of spontaneous preterm labor that leads to preterm birth.

INTRODUCTION: Globally, preterm birth has replaced congenital malformation as the major cause of perinatal mortality and morbidity. The reduced rate of congenital malformation was not achieved through a single biophysical or biochemical marker at a specific gestational age, but rather through a combination of clinical, biophysical and biochemical markers at different gestational ages. Since the aetiology of spontaneous preterm birth is also multifactorial, it is unlikely that a single biomarker test, at a specific gestational age will emerge as the definitive predictive test. METHODS: The Biomarkers Group of PREBIC, comprising clinicians, basic scientists and other experts in the field, with a particular interest in preterm birth have produced this commentary with short, medium and long-term aims: i) to alert clinicians to the advances that are being made in the prediction of spontaneous preterm birth; ii) to encourage clinicians and scientists to continue their efforts in this field, and not to be disheartened or nihilistic because of a perceived lack of progress and iii) to enable development of novel interventions that can reduce the mortality and morbidity associated with preterm birth. RESULTS: Using language that we hope is clear to practising clinicians, we have identified 11 Sections in which there exists the potential, feasibility and capability of technologies for candidate biomarkers in the prediction of spontaneous preterm birth and how current limitations to this research might be circumvented. DISCUSSION: The combination of biophysical, biochemical, immunological, microbiological, fetal cell, exosomal, or cell free RNA at different gestational ages, integrated as part of a multivariable predictor model may be necessary to advance our attempts to predict sPTL and PTB. This will require systems biological data using "omics" data and artificial intelligence/machine learning to manage the data appropriately. The ultimate goal is to reduce the mortality and morbidity associated with preterm birth.

Development and validation of predictive models for QUiPP App v.2: tool for predicting preterm birth in asymptomatic high-risk women.

OBJECTIVES: Accurate mid-pregnancy prediction of spontaneous preterm birth (sPTB) is essential to ensure appropriate surveillance of high-risk women. Advancing the QUiPP App prototype, QUiPP App v.2 aimed to provide individualized risk of delivery based on cervical length (CL), quantitative fetal fibronectin (qfFN) or both tests combined, taking into account further risk factors, such as multiple pregnancy. Here we report development of the QUiPP App v.2 predictive models for use in asymptomatic high-risk women, and validation using a distinct dataset in order to confirm the accuracy and transportability of the QUiPP App, overall and within specific clinically relevant time frames. METHODS: This was a prospective secondary analysis of data of asymptomatic women at high risk of sPTB recruited in 13 UK preterm birth clinics. Women were offered longitudinal qfFN testing every 2-4 weeks and/or transvaginal ultrasound CL measurement between 18 + 0 and 36 + 6 weeks' gestation. A total of 1803 women (3878 visits) were included in the training set and 904 women (1400 visits) in the validation set. Prediction models were created based on the training set for use in three groups: patients with risk factors for sPTB and CL measurement alone, with risk factors for sPTB and qfFN measurement alone, and those with risk factors for sPTB and both CL and qfFN measurements. Survival analysis was used to identify the significant predictors of sPTB, and parametric structures for survival models were compared and the best selected. The estimated overall probability of delivery before six clinically important time points (< 30, < 34 and < 37 weeks' gestation and within 1, 2 and 4 weeks after testing) was calculated for each woman and analyzed as a predictive test for the actual occurrence of each event. This allowed receiver-operating-characteristics curves to be plotted, and areas under the curve (AUC) to be calculated. Calibration was performed to measure the agreement between expected and observed outcomes. RESULTS: All three algorithms demonstrated high accuracy for the prediction of sPTB at < 30, < 34 and < 37 weeks' gestation and within 1, 2 and 4 weeks of testing, with AUCs between 0.75 and 0.90 for the use of qfFN and CL combined, between 0.68 and 0.90 for qfFN alone, and between 0.71 and 0.87 for CL alone. The differences between the three algorithms were not statistically significant. Calibration confirmed no significant differences between expected and observed rates of sPTB within 4 weeks and a slight overestimation of risk with the use of CL measurement between 22 + 0 and 25 + 6 weeks' gestation. CONCLUSIONS: The QUiPP App v.2 is a highly accurate prediction tool for sPTB that is based on a unique combination of biomarkers, symptoms and statistical algorithms. It can be used reliably in the context of communicating to patients the risk of sPTB. Whilst further work is required to determine its role in identifying women requiring prophylactic interventions, it is a reliable and convenient screening tool for planning follow-up or hospitalization for high-risk women. Copyright © 2019 ISUOG. Published by John Wiley & Sons Ltd.

Development and validation of predictive models for QUiPP App v.2: tool for predicting preterm birth in women with symptoms of threatened preterm labor.

OBJECTIVE: To develop enhanced prediction models to update the QUiPP App prototype, a tool providing individualized risk of spontaneous preterm birth (sPTB), for use in women with symptoms of threatened preterm labor (TPTL), incorporating risk factors, transvaginal ultrasound assessment of cervical length (CL) and cervicovaginal fluid quantitative fetal fibronectin (qfFN) test results. METHODS: Participants were pregnant women between 23 + 0 and 34 + 6 weeks' gestation with symptoms of TPTL, recruited as part of four prospective cohort studies carried out at 16 UK hospitals between October 2010 and October 2017. The training set comprised all women whose outcomes were known in May 2017 (n = 1032). The validation set comprised women whose outcomes were gathered between June 2017 and March 2018 (n = 506). Parametric survival models were developed for three combinations of predictors: risk factors plus qfFN test results alone, risk factors plus CL alone, and risk factors plus both qfFN and CL. The best models were selected using the Akaike and Bayesian information criteria. The estimated probability of sPTB < 30, < 34 or < 37 weeks' gestation and within 1 or 2 weeks of testing was calculated and receiver-operating-characteristics (ROC) curves were created to demonstrate the diagnostic ability of the prediction models. RESULTS: Predictive statistics were similar between the training and the validation sets at most outcome time points and for each combination of predictors. Areas under the ROC curves (AUC) demonstrated that all three algorithms had good accuracy for the prediction of sPTB at < 30, < 34 and < 37 weeks' gestation and within 1 and 2 weeks' post-testing in the validation set, particularly the model combining risk factors plus qfFN alone (AUC: 0.96 at < 30 weeks; 0.85 at < 34 weeks; 0.77 at < 37 weeks; 0.91 at < 1 week from testing; and 0.92 at < 2 weeks from testing). CONCLUSIONS: Validation of the new prediction models suggests that the QUiPP App v.2 can reliably calculate risk of sPTB in women with TPTL. Use of the QUiPP App in practice could lead to better targeting of intervention, while providing reassurance and avoiding unnecessary intervention in women at low risk. Copyright © 2019 ISUOG. Published by John Wiley & Sons Ltd.

Desarrollo y validación de modelos predictivos para la Aplicación QUiPP v.2: herramienta para predecir el parto pretérmino en mujeres con síntomas de amenaza de parto prematuro OBJETIVO: Desarrollar modelos de predicción mejorados para actualizar el prototipo de la Aplicación QUiPP, una herramienta que proporciona el riesgo individualizado de parto pretérmino espontáneo (PPTE), para su uso en mujeres con síntomas de amenaza de parto pretérmino (APPT), mediante la incorporación de los factores de riesgo, la evaluación de la longitud cervical (LC) mediante ecografía transvaginal y los resultados de la prueba de fibronectina fetal cuantitativa (qfFN, por sus siglas en inglés) del líquido cérvico-vaginal. MÉTODOS: Las participantes fueron mujeres embarazadas entre 23 + 0 y 34 + 6 semanas de gestación con síntomas de APPT, reclutadas como parte de cuatro estudios de cohorte prospectivos llevados a cabo en 16 hospitales del Reino Unido entre octubre de 2010 y octubre de 2017. El grupo de entrenamiento comprendía a todas las mujeres cuyos resultados se conocían en mayo de 2017 (n = 1032). El grupo de validación estaba compuesto por mujeres cuyos resultados se recogieron entre junio de 2017 y marzo de 2018 (n = 506). Se desarrollaron modelos paramétricos de supervivencia para tres combinaciones de predictores: factores de riesgo más resultados de pruebas de qfFN solamente, factores de riesgo más LC solamente, y factores de riesgo más tanto qfFN como LC. Los mejores modelos fueron seleccionados utilizando los criterios de información de Akaike y Bayesiano. Se calculó la probabilidad estimada de PPTE a <30, <34 o <37 semanas de gestación y dentro de 1 o 2 semanas de la prueba y se crearon curvas de la característica operativa del receptor (ROC, por sus siglas en inglés) para demostrar la capacidad de diagnóstico de los modelos de predicción. RESULTADOS: Las estadísticas de predicción fueron similares entre los grupos de entrenamiento y de validación en la mayoría de los puntos de tiempo de los resultados y para cada combinación de predictores. Las áreas bajo las curvas (ABC) ROC demostraron que los tres algoritmos tuvieron una buena precisión para la predicción del PPTE a <30, <34 y <37 semanas de gestación y dentro de 1 a 2 semanas después de la prueba en el grupo de validación, en particular el modelo que combina los factores de riesgo más qfFN por si solo (ABC: 0,96 a <30 semanas; 0,85 at <34 semanas; 0,77 at <37 semanas; 0,91 at <1 semana de la prueba; y 0,92 a <2 semanas de la prueba CONCLUSIONES: La validación de los nuevos modelos de predicción sugiere que la Aplicación QUiPP v.2 puede calcular de manera fiable el riesgo de PPTE en mujeres con APPT. El uso de la Aplicación QUiPP en la práctica podría llevar a un mejor cribado para la intervención, a la vez que daría seguridad y evitaría intervenciones innecesarias en mujeres con bajo riesgo.

POPPIE: protocol for a randomised controlled pilot trial of continuity of midwifery care for women at increased risk of preterm birth.

BACKGROUND: High rates of preterm births remain a UK public health concern. Preterm birth is a major determinant of adverse infant and longer-term outcomes, including survival, quality of life, psychosocial effects on the family and health care costs. We aim to test whether a model of care combining continuity of midwife care with rapid referral to a specialist obstetric clinic throughout pregnancy, intrapartum and the postpartum period is feasible and improves experience and outcomes for women at increased risk of preterm birth. METHODS: This pilot, hybrid, type 2 randomised controlled implementation trial will recruit 350 pregnant women at increased risk of preterm birth to a midwifery continuity of care intervention or standard care. The intervention will be provided from recruitment (antenatal), labour, birth and the postnatal period, in hospital and community settings and in collaboration with specialist obstetric clinic care, when required. Standard care will be the current maternity care provision by NHS midwives and obstetricians at the study site. Participants will be followed up until 6-8 weeks postpartum. The composite primary outcome is the appropriate initiation of any specified interventions related to the prevention and/or management of preterm labour and birth. Secondary outcomes are related to: recruitment and attrition rates; implementation; acceptability to women, health care professionals and stakeholders; health in pregnancy and other complications; intrapartum outcomes; maternal and neonatal postnatal outcomes; psycho-social health; quality of care; women's experiences and health economic analysis. The trial has 80% power to detect a 15% increase in the rate of appropriate interventions (40 to 55%). The analysis will be by 'intention to treat' analysis. DISCUSSION: Little is known about the underlying reasons why and how models of midwifery continuity of care are associated with fewer preterm births, better maternal and infant outcomes and more positive experiences; nor how these models of care can be implemented successfully in the health services. This will be the first study to provide direct evidence regarding the effectiveness, implementation and evaluation of a midwifery continuity of care model and rapid access to specialist obstetric services for women at increased risk of preterm birth. TRIAL REGISTRATION: ISRCTN37733900 . Retrospectively registered on 21 August 2017.

Gender and preterm birth: Is male fetal gender a clinically important risk factor for preterm birth in high-risk women?

Gender differences in several adverse pregnancy outcomes have been described, including preterm labour and delivery. In the low risk population, the male fetus is at significantly higher risk of spontaneous preterm birth. OBJECTIVES: Our objective was to examine the risk effect of fetal gender on pregnant women at higher risk of preterm birth, and therefore its potential impact on targeting management. STUDY DESIGN: This was an analysis of prospectively collected data from a dedicated inner-city Prematurity Surveillance Clinic over a sixteen-year period. All women were high-risk for preterm delivery in view of their history, which included previous late miscarriage, PTB or significant cervical surgery. Obstetric variables and pregnancy outcomes were compared in male and female babies. Demographic and risk factors were compared between groups, and both spontaneous and iatrogenic preterm delivery rates interrogated (<24, <28, <34 and <37 weeks' gestation). Risk ratios (with 95% confidence intervals) were calculated for each gestational band. RESULTS: In this cohort, 14.5% of women (363/2505) delivered before 37 weeks. Pregnant women were stratified by fetal gender and were comparable for referral risk factors and demographic characteristics. There was no significant association between fetal gender and incidence of miscarriage less than 24 weeks (RR 1.17, 95% CI 0.65-2.10, p = 0.607), or preterm births 24 to 37 weeks RR 1.07 (95% CI 0.82-1.40, p = 0.383). Furthermore, analysis by gestational band [<28 RR 0.91 (95% CI 0.60-1.37, p = 0.647), <34 RR 1.18 (95% CI 0.89-1.57, p = 0.257 and <37 weeks RR 1.10 (95% CI 0.91-1.33, p = 0.309)] also showed no effect. This held true for both spontaneous and iatrogenic preterm delivery. In our high-risk cohort there was no gender difference for preeclampsia (RR 0.93, 95% CI 0.61 to 1.41, p = 0.725) or preterm premature rupture of membranes (PPROM) (RR 1.14, 95% CI 0.86 to 1.50, p = 0.384) CONCLUSIONS: In a high-risk cohort there was no significant increased risk of miscarriage, spontaneous or iatrogenic PTB, preeclampsia or PPROM for the male fetus. This is contradictory to low-risk populations and confirms that gender need not be integrated into high-risk management protocols for preterm birth.

Parturition and the perinatal period: can mode of delivery impact on the future health of the neonate?

Caesarean section and instrumental delivery rates are increasing in many parts of the world for a range of cultural and medical reasons, with limited consideration as to how 'mode of delivery' may impact on childhood and long-term health. However, babies born particularly by pre-labour caesarean section appear to have a subtly different physiology from those born by normal vaginal delivery, with both acute and chronic complications such as respiratory and cardio-metabolic morbidities being apparent. It has been hypothesized that inherent mechanisms within the process of labour and vaginal delivery, far from being a passive mechanical process by which the fetus and placenta are expelled from the birth canal, may trigger certain protective developmental processes permissive for normal immunological and physiological development of the fetus postnatally. Traditionally the primary candidate mechanism has been the hormonal surges or stress response associated with labour and vaginal delivery, but there is increasing awareness that transfer of the maternal microbiome to the infant during parturition. Transgenerational transmission of disease traits through epigenetics are also likely to be important. Interventions such as probiotics, neonatal gut seeding and different approaches to clinical care have potential to influence parturition physiology and improve outcomes for infants.

The QUiPP App: a safe alternative to a treat-all strategy for threatened preterm labor.

OBJECTIVE: To evaluate the impact of triaging women at risk of spontaneous preterm birth (sPTB) using the QUiPP App, which incorporates a predictive model combining history of sPTB, gestational age and quantitative measurements of fetal fibronectin, compared with a treat-all policy (advocated by the UK National Institute for Health and Care Excellence) among women with threatened preterm labor before 30 weeks' gestation. METHODS: Prospectively collected data of pregnant women presenting with symptoms of preterm labor (abdominal pain or tightening) at 24-34 weeks' gestation were retrieved from the research databases of the EQUIPP and PETRA studies for subanalysis. Each episode of threatened preterm labor was retrospectively assigned a risk for sPTB within 7 days using the QUiPP App. A primary outcome of delivery within 7 days was used to model the performance accuracy of the QUiPP App compared with a treat-all policy. RESULTS: Using a 5% risk of delivery within 7 days according to the QUiPP App as the threshold for intervention, 9/9 women who presented with threatened preterm labor < 34 weeks would have been treated correctly, giving a sensitivity of 100% (one-sided 97.5% CI, 66.4%) and a negative predictive value of 100% (97.5% CI, 98.9-100%). The positive predictive value for delivery within 7 days was 30.0% (95% CI, 11.9-54.3%) for women presenting before 30 weeks and 20.0% (95% CI, 12.7-30.1%) for women presenting between 30 + 0 and 34 + 0 weeks. If this 5% threshold had been used to triage women presenting between 24 + 0 and 29 + 6 weeks, 89.4% (n = 168) of admissions could have been safely avoided, compared with 0% for a treat-all strategy. No true case of preterm labor would have been missed, as no woman who was assigned a risk of < 10% delivered within 7 days. CONCLUSION: For women with threatened preterm labor, the QUiPP App can accurately guide management at risk thresholds for sPTB of 1%, 5% and 10%, allowing outpatient management in the vast majority of cases. A treat-all approach would not have avoided admission for any woman, and would have exposed 188 mothers and their babies to unnecessary hospitalization and steroid administration and increased the burden on network and transport services owing to unnecessary in-utero transfers. Prediction of sPTB should be performed before 30 weeks to determine management until there is evidence that such a high level of unnecessary intervention, as suggested by the treat-all strategy, does less harm than the occurrence of rare false negatives. Copyright © 2017 ISUOG. Published by John Wiley & Sons Ltd.

Expression of voltage-dependent potassium channels in first trimester human placentae.

Potassium channel α-subunits encoded by KCNQ1-5 genes form voltage-dependent channels (KV7), modulated by KCNE1-5 encoded accessory proteins. The aim was to determine KCNQ and KCNE mRNA expression and assess protein expression/localisation of the KCNQ3 and KCNE5 isoforms in first trimester placental tissue. Placentae were obtained from women undergoing elective surgical termination of pregnancy (TOP) at ≤ 10 weeks' (early TOP) and >10 weeks' (mid TOP) gestations. KCNQ1-5 expression was unchanged during the first trimester. KCNE5 expression increased in mid TOP vs. early TOP samples (P = 0.022). This novel study reports mRNA and protein expression of KV7 channels in first trimester placentae.

Reporting errors, incidence and risk factors for postpartum haemorrhage and progression to severe PPH: a prospective observational study.

OBJECTIVE: To quantify reporting errors, measure incidence of postpartum haemorrhage (PPH) and define risk factors for PPH (≥500 ml) and progression to severe PPH (≥1500 ml). DESIGN: Prospective observational study. SETTING: Two UK maternity services. POPULATION: Women giving birth between 1 August 2008 and 31 July 2009 (n = 10 213). METHODS: Weighted sampling with sequential adjustment by multivariate analysis. MAIN OUTCOME MEASURES: Incidence and risk factors for PPH and progression to severe PPH. RESULTS: Errors in transcribing blood volume were frequent (14%) with evidence of threshold preference and avoidance. The incidences of PPH ≥500, ≥1500 and ≥2500 ml were 33.7% (95% CI 31.2-36.2), 3.9% (95% CI 3.3-4.6) and 0.8% (95% CI 0.6-1.0). New independent risk factors predicting PPH ≥ 500 ml included Black African ethnicity (adjusted odds ratio [aOR] 1.77, 95% CI 1.31-2.39) and assisted conception (aOR 2.93, 95% CI 1.30-6.59). Modelling demonstrated how prepregnancy- and pregnancy-acquired factors may be mediated through intrapartum events, including caesarean section, elective (aOR 24.4, 95% CI 5.53-108.00) or emergency (aOR 40.5, 95% CI 16.30-101.00), and retained placenta (aOR 21.3, 95% CI 8.31-54.7). New risk factors were identified for progression to severe PPH, including index of multiple deprivation (education, skills and training) (aOR 1.75, 95% CI 1.11-2.74), multiparity without caesarean section (aOR 1.65, 95% CI 1.20-2.28) and administration of steroids for fetal reasons (aOR 2.00, 95% CI 1.24-3.22). CONCLUSIONS: Sequential, interacting, traditional and new risk factors explain the highest rates of PPH and severe PPH reported to date.

OS081. Novel KCNQ3/KCNE5 isoform protein and mRNA expression in first trimester human placentae.

INTRODUCTION: Potassium channel α-subunits encoded by KCNQ1-5 genes (Kv7) form voltage-dependent channels that can be modulated by KCNE1-5 encoded accessory proteins. These channels are known to play a role in the reactivity of blood vessels. We have previously shown that both mRNA and protein expression for the novel combination of KCNQ3 and KCNE5 are increased in term and preterm pre-eclampsia (PE) compared to normotensive control placentae [1]. The expression of these isoforms in early placental tissue has not been examined. OBJECTIVES: The aims of this study were to determine whether KCNQ3 and KCNE5 mRNA and proteins are expressed in first trimester placental tissue. METHODS: Placental samples were obtained from women undergoing elective surgical termination of pregnancy between 6 and 12 weeks' gestation (n=7) following informed written consent. KCNQ3 and KCNE5 mRNA expression was measured by qRT-PCR and normalised to stably expressed GAPDH. Immunohistochemistry was used to assess protein expression and localisation of the isoforms. RESULTS: Both mRNA and protein expression of KCNQ3 and KCNE5 were detected in placental tissue at all gestations. KCNE5 mRNA expression remained constant between 6 and 10 weeks with a subsequent rise at 11 and 12 weeks. KCNQ3 mRNA expression was initially lower than KCNE5 but markedly increased at 7 weeks remaining high until 10 weeks and falling below KCNE5 levels by 12 weeks. Protein expression for both KCNQ3 and KCNE5 was localised mainly to the syncytiotrophoblast but was also evident in the mesenchyme; overall KCNQ3 intensity significantly increased with gestational age (p=0.044). CONCLUSION: KCNQ3 and KCNE5 channel isoforms are highly expressed in first trimester placenta. The temporal changes in mRNA expression mirror changes in the placental tissue oxygen tension which increases between 8 and 10 weeks. This would precede the dislocation of the spiral artery plugs enabling maternal blood to flow freely and continuously into the intervillous spaces. We speculate that the increase in mesenchymal protein expression may be related to angiogenesis during this critical window of feto-placental vascular development. Future work will characterise the complete KCNQ/KCNE isoforms in first trimester placental tissue and assess potential functional roles of these channels both in early placentation and in relation to PE. FUNDING: Tommy's Charity (Registered charity 1060508).

Pruritus in pregnancy: a study of anatomical distribution and prevalence in relation to the development of obstetric cholestasis.

The main objective of this study was to determine the prevalence and anatomical distribution of pruritus in 6532 pregnant women from a UK antenatal population. Pregnant women attending and completing antenatal care at two general hospitals over a 12-month period were recruited and contacted on three occasions by post. Medical advice and a questionnaire detailing the nature and severity of their pruritus were included. Pruritus in pregnancy, as reported by questionnaire, affected approximately 23% of pregnancies (n = 1521/6532 women) and 1.6% (n = 25) of these women developed obstetric cholestasis (OC). Overall, 0.66% of the antenatal population (43/6532) had a clinical diagnosis of OC (95% CI: 0.48-0.89%). Itching unrelated to OC was most commonly reported to be worst on the abdomen (31%, 616/2014). Women with OC reported pruritus to be most severe on the palms and soles in 16% (4/25) and 'all over' in 24% (6/25) compared with 5% (54/1120) (P < 0.05) and 4% (42/1120, P < 0.0001) of those without OC. In conclusion, pruritus affected approximately one in four women and OC one in 135 women during the study period. Women whose pruritus is 'all over' or most severe on the 'palms or soles' may be at greater risk of the disease.

Loss of functional K+ channels encoded by ether-à-go-go-related genes in mouse myometrium prior to labour onset.

There is a growing appreciation that ion channels encoded by the ether-à-go-go-related gene family have a functional impact in smooth muscle in addition to their accepted role in cardiac myocytes and neurones. This study aimed to assess the expression of ERG1-3 (KCNH1-3) genes in the murine myometrium (smooth muscle layer of the uterus) and determine the functional impact of the ion channels encoded by these genes in pregnant and non-pregnant animals. Quantitative RT-PCR did not detect message for ERG2 and 3 in whole myometrial tissue extracts. In contrast, message for two isoforms of mERG1 were readily detected with mERG1a more abundant than mERG1b. In isometric tension studies of non-pregnant myometrium, the ERG channel blockers dofetilide (1 microM), E4031 (1 microM) and Be-KM1 (100 nM) increased spontaneous contractility and ERG activators (PD118057 and NS1643) inhibited spontaneous contractility. In contrast, neither ERG blockade nor activation had any effect on the inherent contractility in myometrium from late pregnant (19 days gestation) animals. Moreover, dofetilide-sensitive K(+) currents with distinctive 'hooked' kinetics were considerably smaller in uterine myocytes from late pregnant compared to non-pregnant animals. Expression of mERG1 isoforms did not alter throughout gestation or upon delivery, but the expression of genes encoding auxillary subunits (KCNE) were up-regulated considerably. This study provides the first evidence for a regulation of ERG-encoded K(+) channels as a precursor to late pregnancy physiological activity.

Cyclic stretch decreases TRPC4 protein and capacitative calcium entry in rat vascular smooth muscle cells.

We investigated whether cyclic stretch affects TRPC4 or TRPC6 expression and calcium mobilization in cultured vascular smooth muscle cells. In aortic and mesenteric smooth muscle cells isolated from male Sprague-Dawley rats, TRPC4 expression was decreased after 5 h stretch and remained suppressed through 24 h stretch. After removal of the stretch stimulus, TRPC4 expression recovered within 2 h. Stretch did not affect TRPC6 expression. Stretch also decreased capacitative calcium entry, while agonist-induced calcium influx was increased. Similar results were obtained in primary aortic smooth muscle cells. TRPC4 mRNA levels were not decreased in response to mechanical strain. TRPC4 downregulation was also achieved by increasing extracellular calcium and was attenuated by gadolinium and MG132, suggesting that TRPC4 protein is regulated by intracellular calcium concentration and/or the ubiquitin-proteasome pathway. These data suggest that stretch-induced downregulation of TRPC4 protein expression and capacitative calcium entry may be a protective mechanism to offset stretch-induced increases in intracellular calcium.

Myometrial mechanoadaptation during pregnancy: implications for smooth muscle plasticity and remodelling.

The smooth muscle of the uterus during pregnancy presents a unique circumstance of physiological mechanotransduction as the tissue remodels in response to stretches imposed by the growing foetus(es), yet the nature of the molecular and functional adaptations remain unresolved. We studied, in myometrium isolated from non-pregnant (NP) and pregnant mice, the active and passive length-tension curves by myography and the expression and activation by immunoblotting of focal adhesion-related proteins known in other systems to participate in mechanosensing and mechanotransduction. In situ uterine mass correlated with pup number and weight throughout pregnancy. In vitro myometrial active, and passive, length-tension curves shifted significantly to the right during pregnancy indicative of altered mechanosensitivity; at term, maximum active tension was generated following 3.94+/-0.33-fold stretch beyond slack length compared to 1.91+/-0.12-fold for NP mice. Moreover, mechanotransduction was altered during pregnancy as evidenced by the progressive increase in absolute force production at each optimal stretch. Pregnancy was concomitantly associated with an increased expression of the dense plaque-associated proteins FAK and paxillin, and elevated activation of FAK, paxillin, c-Src and extracellular signal-regulated kinase (ERK1/2) which reversed 1 day post-partum. Electron microscopy revealed close appositioning of neighbouring myometrial cells across a narrow extracellular cleft adjoining plasmalemmal dense plaques. Collectively, these results suggest a physiological basis of myometrial length adaptation, long known to be a property of many smooth muscles, whereupon plasmalemmal dense plaque proteins serve as molecular signalling and structural platforms contributing to functional (contractile) remodelling in response to chronic stretch.

Cytokine networks and the regulation of uterine function in pregnancy and parturition.

Complex cytokine networks play an important role in a wide range of reproductive and pregnancy related processes. Here, we review the current knowledge concerning the impact of cytokines on uterine physiology and pathophysiology. Cytokines influence a range of uterine functions during the menstrual cycle, implantation, pregnancy and labour. The synergistic interactions between individual cytokines are intricate and dynamic, and modulated by pregnancy hormones. It is not surprising therefore, that perturbations to cytokine signalling are associated with adverse pregnancy outcomes, such as miscarriage, pre-eclampsia, preterm labour and foetal brain injury. Further insight into the complexity of cytokine networks will be required to develop novel therapeutic strategies for the treatment of cytokine imbalances in pregnancy.