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Combined with perinatal mortality review, neonatal near-miss (NNM) audit has the potential to inform strategies to better prevent adverse perinatal outcomes. Nonetheless, there is lack of standardised definitions of NNM and limited evidence of implementation of NNM audits.To describe definitions of NNM and assess current approaches and attitudes toward perinatal mortality and morbidity audit.Online survey from December 2021 to February 2022, with a mix of Likert scales, polar, pool, multi-choice, and open-ended questions, disseminated through national and international organisations to perinatal healthcare workers from high-income countries.One hundred and twenty participants came from Australia (n = 86), New Zealand (n = 18), Canada (n = 7), USA (n = 4), Netherlands (n = 2), other countries (n = 3). Neonatologists (35%), midwives (21.7%), obstetricians (12.5%), neonatal nurse practitioners (11.7%) and others (23.3%) responded. Most respondents thought the main characteristics to define NNM were birth asphyxia needing therapeutic hypothermia (68.3%), unexpected resuscitation at birth (67.5%), need for intubation/chest compression/adrenaline (65.0%) and metabolic acidosis at birth (60.0%). There were 97.5% of participants who considered NNM important for identifying cases for perinatal morbidity audits. However, only 10.0% of their institutions used a NNM definition. Overall, 98.4% of participants considered perinatal mortality and morbidity audits important to prevent adverse outcomes.Neonatal near-miss audit is viewed as a valuable tool to reduce adverse neonatal outcomes. There was reasonable consensus that NNM encompassed evidence of birth asphyxia and/or advanced neonatal resuscitation. Data from this international survey identifies a starting point for a consensus definition of NNM, which can be used for perinatal audits to identify opportunities for improvement.

Background Stillbirth, the death of a baby before birth, is associated with significant psychological and social consequences that can be mitigated by respectful and supportive bereavement care. The absence of high-level evidence to support the broad scope of perinatal bereavement practices means that offering a range of options identified as valued by parents has become an important indicator of care quality. This study aimed to describe bereavement care practices offered to parents across different high-income and middle-income countries. Methods An online survey of parents of stillborn babies was conducted between December 2014 and February 2015. Frequencies of nine practices were compared between high-income and middle-income countries. Differences in proportions of reported practices and their associated odds ratios were calculated to compare high-income and middle-income countries. Results Over three thousand parents (3041) with a self-reported stillbirth in the preceding five years from 40 countries responded. Fifteen countries had atleast 40 responses. Significant differences in the prevalence of offering nine bereavement care practices were reported by women in high-income countries (HICs) compared with women in middle-income countries (MICs). All nine practices were reported to occur significantly more frequently by women in HICs, including opportunity to see and hold their baby (OR = 4.8, 95% CI 4.0-5.9). The widespread occurrence of all nine practices was reported only for The Netherlands. Conclusions Bereavement care after stillbirth varies between countries. Future research should look at why these differences occur, their impact on parents, and whether differences should be addressed, particularly how to support effective communication, decision-making, and follow-up care.

OBJECTIVE To investigate behavioural and social characteristics of women who experienced a late stillbirth compared with women with ongoing live pregnancies at similar gestation. DESIGN Case-control study. SETTING 41 maternity units in the UK. POPULATION Women who had a stillbirth ≥28 weeks' gestation (n = 287) and women with an ongoing pregnancy at the time of interview (n = 714). METHODS Data were collected using an interviewer-administered questionnaire which included questions regarding women's behaviours (e.g. alcohol intake and household smoke exposure) and social characteristics (e.g. ethnicity, employment, housing). Stress was measured by the 10-item Perceived Stress Scale. MAIN OUTCOME MEASURE Late stillbirth. RESULTS Multivariable analysis adjusting for co-existing social and behavioural factors showed women living in the most deprived quintile had an increased risk of stillbirth compared with the least deprived quintile (adjusted odds ratio [aOR] 3.16; 95% CI 1.47-6.77). There was an increased risk of late stillbirth associated with unemployment (aOR 2.32; 95% CI 1.00-5.38) and women who declined to answer the question about domestic abuse (aOR 4.12; 95% CI 2.49-6.81). A greater number of antenatal visits than recommended was associated with a reduction in stillbirth (aOR 0.26; 95% CI 0.16-0.42). CONCLUSIONS This study demonstrates associations between late stillbirth and socio-economic deprivation, perceived stress and domestic abuse, highlighting the need for strategies to prevent stillbirth to extend beyond maternity care. Enhanced antenatal care may be able to mitigate some of the increased risk of stillbirth. TWEETABLE ABSTRACT Deprivation, unemployment, social stress & declining to answer about domestic abuse increase risk of #stillbirth after 28 weeks' gestation.

Background Stillbirth accounts for over 2 million deaths a year worldwide and rates remains stubbornly high. Multivariable prediction models may be key to individualised monitoring, intervention or early birth in pregnancy to prevent stillbirth. Objectives To collate and evaluate systematic reviews of factors associated with stillbirth in order to identify variables relevant to prediction model development. Search strategy MEDLINE, Embase, DARE and Cochrane Library databases and reference lists were searched up to November 2019. Selection criteria We included systematic reviews of association of individual variables with stillbirth without language restriction. Data collection and analysis Abstract screening and data extraction were conducted in duplicate. Methodological quality was assessed using AMSTAR and QUIPS criteria. The evidence supporting association with each variable was graded. Results The search identified 1198 citations. Sixty-nine systematic reviews reporting 64 variables were included. The most frequently reported were maternal age (n = 5), body mass index (n = 6) and maternal diabetes (n = 5). Uterine artery Doppler appeared to have the best performance of any single test for stillbirth. The strongest evidence of association was for nulliparity and pre-existing hypertension. Conclusion We have identified variables relevant to the development of prediction models for stillbirth. Age, parity and prior adverse pregnancy outcomes had a more convincing association than the best performing tests, which were PAPP-A, PlGF and UtAD. The evidence was limited by high heterogeneity and lack of data on intervention bias. Tweetable abstract Review shows key predictors for use in developing models predicting stillbirth include age, prior pregnancy outcome and PAPP-A, PLGF and Uterine artery Doppler.

Objective Twin pregnancies have a significantly higher perinatal mortality than singleton pregnancies. Current classification systems for perinatal death lack twin-specific categories, potentially leading to loss of important information regarding cause of death. We introduce and test a classification system designed to assign a cause of death in twin pregnancies (CoDiT). Design Retrospective cross-sectional study. Setting Tertiary maternity unit in England with a perinatal pathology service. Population Twin pregnancies in the West Midlands affected by fetal or neonatal demise of one or both twins between 1 January 2005 and 31 December 2016 in which postmortem examination was undertaken. Methods A multidisciplinary panel designed CoDiT by adapting the most appropriate elements of singleton classification systems. The system was tested by assigning cause of death in 265 fetal and neonatal deaths from 144 twin pregnancies. Cause of death was validated by another obstetrician blinded to the original classification. Main outcome measures Inter-rater, intra-rater, inter-disciplinary agreement and cause of death. Results Cohen's Kappa demonstrated 'strong' (>0.8) inter-rater, intra-rater and inter-disciplinary agreement (95% CI 0.70-0.91). The commonest cause of death irrespective of chorionicity was the placenta; twin-to-twin transfusion syndrome (TTTS) was the commonest placental cause in monochorionic twins and acute chorioamnionitis in dichorionic twins. Conclusions This novel classification system records causes of death in twin pregnancies from postmortem reports with high inter-user agreement. We highlight differences in aetiology of death between monochorionic and dichorionic twins. Tweetable abstract New classification system for #twin cause of death 'CoDiT' shows high rater agreement.

OBJECTIVE This study assessed prevalence of connective tissue disease (CTDs), systemic lupus erythematosus (SLE), antiphospholipid syndrome (APS) and antiphospholipid antibodies (aPL) in women with previous adverse pregnancy outcome compared with uncomplicated livebirths. DESIGN Retrospective case-control study. SETTING UK Primary Care. POPULATION OR SAMPLE Records of women, 18 years and older, within the Clinical Practice Research Datalink (CPRD) (1 January 2000-31 December 2013). METHODS Clinical Practice Research Datalink was searched for pregnancy terms to identify adverse pregnancy outcome. Each identified case was matched to five livebirths. MAIN OUTCOME MEASURES Diagnosis of SLE, CTD, APS or autoimmune antibodies. Poisson regression was performed to calculate relative risk ratios (RR), comparing adverse pregnancy outcome with livebirth cohorts. RESULTS Clinical Practice Research Datalink identified 20 123 adverse pregnancy outcomes matched to 97 323 livebirths, with a total of 875 590 person-years follow up. Median follow up from study entry was 7.29 years (SD 4.39). Compared with women with an uncomplicated livebirth, women with adverse pregnancy outcome had an increased risk of developing CTD or autoimmune antibodies (RR 3.20, 95% CI 2.90-3.51). Risk was greatest following a stillbirth (RR 5.82, 95% CI 4.97-6.81). For CTD and SLE, the risk was greatest within the first 5 years of adverse pregnancy outcome. Risk for aPL and APS diagnosis was highest ≥5 years from adverse pregnancy outcome. CONCLUSIONS Adverse pregnancy outcome is associated with increased risk of developing maternal CTD, including SLE. Either immunological factors predispose women to adverse pregnancy outcome and subsequent CTD diagnosis or, alternatively, adverse pregnancy outcome initiates autoimmune events which culminate in CTD in later life. TWEETABLE ABSTRACT Stillbirth is associated with increased maternal risk of developing systemic lupus erythematosus (SLE).

The coronavirus (COVID-19) pandemic has resulted in rapid changes in many areas of healthcare worldwide.1 Some organisational and governance controls on innovation have been relaxed, to enable rapid adaptation to changing circumstances. The speed of innovation raises a range of ethical, governance and organisational issues. It is important to assess what changes have been instituted, which ones should be maintained, and how to encourage effective innovations in future. Maternity care provides an exemplar case within the broader healthcare setting, given the imperative to provide both safe and personalised care for optimal outcomes. Some pandemic-related changes in maternity services, such as restricting women's opportunities for companionship during ultrasound scans or throughout labour, or limiting parental visiting to neonatal units, have been associated with psychological harm.2 Other changes provide more positive impacts, including reports of more individualised and efficient care associated with the increased use of telemedicine.3 We undertook a documentary analysis of national policy and service-user organisation responses to the pandemic in the United Kingdom (UK) and the Netherlands (NL), as part of the Achieving Safe and Personalised maternity care In Response to Epidemics (ASPIRE COVID-19) study. The overall aim of ASPIRE COVID-19 is to identify ‘what works’ in providing maternity care during the current and future pandemics, or similar health crises. The NL was chosen as the comparator for the UK because there were known differences in the organisation of maternity services during the COVID-19 pandemic between the two countries, especially for place of birth. Here we report on activities described as new or expanded innovations in 290 documents produced by 17 key professional and service-user organisations in the NL and the UK between February and December 2020 (Table 1). We included strategic papers, guidelines, protocols and updates for healthcare professionals, such as newsletters.

Objective: Stillbirth is a potentially preventable complication of pregnancy. Identifying women at risk can guide decisions on closer surveillance or timing of birth to prevent fetal death.Prognostic models have been developed to predict the risk of stillbirth, but none have yet been externally validated. We externally validated published prediction models for stillbirth using individual participant data (IPD) meta-analysis to assess their predictive performance. Methods: We searched Medline, EMBASE, DH-DATA and AMED databases from inception to December 2020 to identify stillbirth prediction models. We included studies that developed or updated prediction models for stillbirth for use at any time during pregnancy. IPD from cohorts within the International Prediction of Pregnancy Complication (IPPIC) Network were used to externally validate the identified prediction models whose individual variables were available in the IPD. We assessed the risk of bias of the models and IPD using PROBAST, and reported discriminative performance using the C-statistic, and calibration performance using calibration plots, calibration slopeand calibration-in-the-large. We estimated performance measures separately in each study, and then summarised across studies using random-effects meta-analysis. Clinical utility was assessed using net benefit. Results: We identified 17 studies reporting the development of 40 prognostic models for stillbirth. None of the models were previously externally validated, and only a fifth (20%, 8/40) reported the full model equation. We were able to validate three of these models using the IPD from 19 cohort studies (491,201 pregnant women) within the IPPIC Network database. Based on evaluating their development studies, all three models had an overall high risk of bias according to PROBAST. In our IPD meta-analysis, the models had summary C-statistics ranging from 0.53 to 0.65; summary calibration slopes of 0.40to 0.88, and generally with observed risks predictions that were too extreme compared to observed risks; and little to no clinical utility as assessed by net benefit. However, there remained uncertainty in performance for some models due to small available sample sizes. Conclusion: The three validated models generally showed poor and uncertain predictive performancein new data, with limited evidence to support their clinical application. Findings suggest methodological shortcomings in their development including overfitting of models. Further research is needed to further validate these and other models, identify stronger prognostic factors, and to develop more robust prediction models

OBJECTIVE: Stillbirth is a potentially preventable complication of pregnancy. Identifying women at high risk of stillbirth can guide decisions on the need for closer surveillance and timing of delivery in order to prevent fetal death. Prognostic models have been developed to predict the risk of stillbirth, but none has yet been validated externally. In this study, we externally validated published prediction models for stillbirth using individual participant data (IPD) meta-analysis to assess their predictive performance. METHODS: MEDLINE, EMBASE, DH-DATA and AMED databases were searched from inception to December 2020 to identify studies reporting stillbirth prediction models. Studies that developed or updated prediction models for stillbirth for use at any time during pregnancy were included. IPD from cohorts within the International Prediction of Pregnancy Complications (IPPIC) Network were used to validate externally the identified prediction models whose individual variables were available in the IPD. The risk of bias of the models and cohorts was assessed using the Prediction study Risk Of Bias ASsessment Tool (PROBAST). The discriminative performance of the models was evaluated using the C-statistic, and calibration was assessed using calibration plots, calibration slope and calibration-in-the-large. Performance measures were estimated separately in each cohort, as well as summarized across cohorts using random-effects meta-analysis. Clinical utility was assessed using net benefit. RESULTS: Seventeen studies reporting the development of 40 prognostic models for stillbirth were identified. None of the models had been previously validated externally, and the full model equation was reported for only one-fifth (20%, 8/40) of the models. External validation was possible for three of these models, using IPD from 19 cohorts (491 201 pregnant women) within the IPPIC Network database. Based on evaluation of the model development studies, all three models had an overall high risk of bias, according to PROBAST. In the IPD meta-analysis, the models had summary C-statistics ranging from 0.53 to 0.65 and summary calibration slopes ranging from 0.40 to 0.88, with risk predictions that were generally too extreme compared with the observed risks. The models had little to no clinical utility, as assessed by net benefit. However, there remained uncertainty in the performance of some models due to small available sample sizes. CONCLUSIONS: The three validated stillbirth prediction models showed generally poor and uncertain predictive performance in new data, with limited evidence to support their clinical application. The findings suggest methodological shortcomings in their development, including overfitting. Further research is needed to further validate these and other models, identify stronger prognostic factors and develop more robust prediction models. © 2021 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.

Chronic histiocytic intervillositis (CHI) is a pregnancy disorder characterized by infiltration of maternal macrophages into the intervillous space of the human placenta, often with accompanying perivillous fibrin deposition. CHI is associated strongly with foetal growth restriction and increased risk of miscarriage and stillbirth. Although rare, affecting 6 in every 10 000 pregnancies beyond 12 weeks’ gestation, the rate of recurrence is high at 25%–100%. To date, diagnosis of CHI can only be made post‐delivery upon examination of the placenta due to a lack of diagnostic biomarkers, and criteria vary across publications. No treatment options have shown proven efficacy, and CHI remains a serious obstetric conundrum. Although its underlying aetiology is unclear, due to the presence of maternal macrophages and the reported increased incidence in women with autoimmune disease, CHI is hypothesized to be an inappropriate immune response to the semi‐allogeneic foetus. Given this lack of understanding, treatment approaches remain experimental with limited rationale. However, there is recent evidence that immunosuppression and antithrombotic therapies may be effective in preventing recurrence of associated adverse pregnancy outcomes. With similarities noted between the pathological features of CHI and acute rejection of solid organ transplants, further investigation of this hypothesis may provide a basis for tackling CHI and other immune‐related placental conditions. This review will explore parallels between CHI and allograft rejection and identify areas requiring further confirmation and exploitation of this comparison.

BackgroundStillbirth accounts for over 2 million deaths a year worldwide and rates remains stubbornly high. Multivariable prediction models may be key to individualised monitoring, intervention or early birth in pregnancy to prevent stillbirth.ObjectivesTo collate and evaluate systematic reviews of factors associated with stillbirth in order to identify variables relevant to prediction model development.Search strategyMEDLINE, Embase, DARE and Cochrane Library databases and reference lists were searched up to November 2019.Selection criteriaWe included systematic reviews of association of individual variables with stillbirth without language restriction.Data collection and analysisAbstract screening and data extraction were conducted in duplicate. Methodological quality was assessed using AMSTAR and QUIPS criteria. The evidence supporting association with each variable was graded.ResultsThe search identified 1198 citations. Sixty-nine systematic reviews reporting 64 variables were included. The most frequently reported were maternal age (n = 5), body mass index (n = 6) and maternal diabetes (n = 5). Uterine artery Doppler appeared to have the best performance of any single test for stillbirth. The strongest evidence of association was for nulliparity and pre-existing hypertension.ConclusionWe have identified variables relevant to the development of prediction models for stillbirth. Age, parity and prior adverse pregnancy outcomes had a more convincing association than the best performing tests, which were PAPP-A, PlGF and UtAD. The evidence was limited by high heterogeneity and lack of data on intervention bias.Tweetable abstractReview shows key predictors for use in developing models predicting stillbirth include age, prior pregnancy outcome and PAPP-A, PLGF and Uterine artery Doppler.

The placenta is one of the most exciting organs. It is dynamic; its morphology and function continuously develop and adjust over its brief life span. It mediates the physiology of two distinct yet highly interconnected individuals. The pathology that develops in the placenta, and the adaptations the placenta undergoes to mitigate this pathology, may influence the later life health of the mother and baby (Circ Res, 116, 2015, 715; Hum Reprod Update, 17, 2011, 397; Nutr Rev 71, 2013, S88; Placenta, 36, 2015, S20). Pathological placenta examination may reveal macroscopic and microscopic patterns that provide valuable information to the obstetricians, neonatologists, and pediatricians caring for the family. The placenta often plays a key role in understanding adverse fetal outcomes such as hypoxic brain injury, cerebral palsy, fetal growth restriction, stillbirth, and neonatal death (Placenta, 35, 2014, 552; Placenta, 52, 2017, 58; Placenta, 30, 2009, 700; Obstet Gynecol, 114, 2009, 809; Clin Perinatol, 33, 2006, 503; Pediatr Dev Pathol, 11, 2008, 456; Arch Pathol Lab Med, 124, 2000, 1785). Moreover, it may help to understand the pathophysiology of pregnancy, improve management of subsequent pregnancies, and assist in medicolegal assessment. Placental pathologic examination may even provide evidence of susceptibility to adult-onset diseases such as diabetes (Pediatr Dev Pathol, 6, 2003, 54; Diabetes Metab, 36, 2010, 682; BJOG, 113, 2006, 1126; Int J Gynaecol Obstet, 104, 2009, S25; Zentralbl Gynakol, 97, 1975, 875). Pathologic examination of the placenta may thus be of tremendous value, particularly for those women experiencing an adverse pregnancy outcome. However, this potential utility may be entirely wasted, if the findings are not communicated in an effective manner to the appropriate clinicians. An optimized, readily understandable report of pathological findings is essential for clinical utility.

The National Health and Medical Research Council (NHMRC) Centre of Research Excellence in Stillbirth and the Perinatal Society of Australia and New Zealand (PSANZ) have recently partnered in updating an important clinical practice guideline, Care of pregnant women with decreased fetal movements. This guideline offers 12 recommendations and a suggested care pathway, with the aim to improve the quality of care for women reporting decreased fetal movements through an evidence-based approach. Adoption of the guideline by clinicians and maternity hospitals could result in earlier identification of higher-risk pregnancies, improved perinatal health outcomes for women and their babies, and reduced stillbirth rates.