Hazard and cumulative incidence of umbilical cord metabolic acidemia at birth in fetuses experiencing the second stage of labor and pathologic intrapartum fetal heart rate requiring expedited delivery

Purpose: The aim of the study was to determine the cause-specific hazard (CSH) and the cumulative incidence function (CIF) for umbilical cord metabolic acidemia at birth (MA; pH < 7.0 and/or BE [Formula: see text] - 12 mmol/L) at delivery in patients experiencing the 2nd stage of labor (2STG), stratified for both FIGO-2015 pathologic intrapartum cardiotocography requiring expedited delivery (CTG_RED) and duration of 2nd stage of labor. Methods: 3459 pregnancies experiencing the 2nd stage of labor and delivering at the Division of Obstetrics and Prenatal Medicine, IRCCS Sant'Orsola-Malpighi Hospital, Bologna (Italy), were identified between 2018 and 2019. Survival analysis was used to assess CSH and CIF for MA, stratified for FIGO-2015 pathologic CTG and relevant covariates. Results: FIGO-2015 pathological CTG with expedited operative delivery or urgent cesarean section within 10 or 20 min from diagnosis, respectively occurred in 282/3459 (8.20%). The rate of MA at delivery was 3.32% (115/3459). The spline of CSH for MA showed a direct correlation with the duration of 2STG always presenting higher values and greater slope in the presence of pathologic CTG, with plateau between 60 and 120 min and rapid increase after 120 min. The CIF at 180 min in the 2STG was 2.67% for nonpathological and 10.63% for pathological CTG_RED. Nulliparity, pathological CTG, and meconium-stained amniotic fluid resulted significant predictors of MA in our multivariable model. Conclusion: The risk for MA increases moderately across the 2STG with nonpathological CTG and quadruples with pathological CTG_RED. Adjustment for other predictors of MA including meconium-stained amniotic fluid and nulliparity reveals a significant hazard increase for MA associated with pathologic CTG_RED

Toward Risk Assessment for Amniotic Fluid Embolisms

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Assessment and analysis of territorial experiences in digital tele-echocardiography

Nowadays digital ultrasound-cardiovascular devices are able to send out directly digital images and films. Thanks to the large adoption of such devices, the echocardiographic world is facing new ways of exchanging images and collaborating. What we present in this paper is a review of the experimental projects carried in Lombardy, meant to support the work of specialists by means of second opinion and telemedicine services. On the medical point of view echocardiography is a widely used activity where operators are perfectly accustomed to do repetitive operations and steps. Tele-echocardiography (T-E) introduces new methods and technologies into stable and everyday medical practice, causing disruptions either on the side of the specialists' way of working or on the new opportunities and service. Introducing such a service means to properly model it in order to reduce the changes in the operators' way of working while maximizing the benefits. A proper method of modelling the operators' needs is then a key factor which must be correctly addressed. This paper will present some successful projects and the assessment procedure but it will also discuss a possible service modelling method, which has been adopted for the described experiences

Real-world implementation and adaptation to local settings of first trimester preeclampsia screening in Italy: a systematic review

Background: Preeclampsia (PE) is a multisystem disease of pregnancy representing a major cause of maternal and perinatal morbidity and mortality. Early identification of pregnancies at risk of developing PE is crucial for implementing preventive strategies. The effective- ness of PE screening in the first trimester is widely recognized and endorsed by several guidelines, but unfortunately real-world im- plementation of this practice within local settings remains difficult. Methods: We performed a systematic review of the literature to un- derstand the critical issues hampering the implementation of PE screening procedures in Italy. All studies on first trimester PE screen- ing in the Italian population were eligible for inclusion. Key-concepts relevant for implementation of PE screening in Italy were extracted and analysed qualitatively. Results: Nine articles were selected and included. Lack of evidence concerning the topic of PE screening in Italy was shown. Major critical issues found encompassed health- care personnel education, training of sonographers, economic cov- erage for biochemical markers and adjustment of algorithms based on population characteristics. Conclusions: Identification and adapta- tion of specific protocols to local settings and population characteris- tics is critical for successful implementation of early PE screening in Italy. This process has the potential to improve pregnancy outcomes and to save valuable health-care resources, particularly scarce in the COVID-19 era. There is an urgent need for research studies on specific local populations focussing on subtle details capable of maximizing PE screening uptake. This action will likely potentiate PE screening implementation reducing the burden and the cost of perinatal and maternal complications

Pregnancy outcomes and vaccine effectiveness during the period of omicron as the variant of concern, INTERCOVID-2022: a multinational, observational study

Pregnancy outcomes; Vaccine effectiveness; OmicronResultados del embarazo; Efectividad de la vacuna; OmicronResultats de l'embaràs; Eficàcia de la vacuna; OmicronBackground In 2021, we showed an increased risk associated with COVID-19 in pregnancy. Since then, the SARS-CoV-2 virus has undergone genetic mutations. We aimed to examine the effects on maternal and perinatal outcomes of COVID-19 during pregnancy, and evaluate vaccine effectiveness, when omicron (B.1.1.529) was the variant of concern. Methods INTERCOVID-2022 is a large, prospective, observational study, involving 41 hospitals across 18 countries. Each woman with real-time PCR or rapid test, laboratory-confirmed COVID-19 in pregnancy was compared with two unmatched women without a COVID-19 diagnosis who were recruited concomitantly and consecutively in pregnancy or at delivery. Mother and neonate dyads were followed until hospital discharge. Primary outcomes were maternal morbidity and mortality index (MMMI), severe neonatal morbidity index (SNMI), and severe perinatal morbidity and mortality index (SPMMI). Vaccine effectiveness was estimated, adjusted by maternal risk profile. Findings We enrolled 4618 pregnant women from Nov 27, 2021 (the day after WHO declared omicron a variant of concern), to June 30, 2022: 1545 (33%) women had a COVID-19 diagnosis (median gestation 36·7 weeks [IQR 29·0–38·9]) and 3073 (67%) women, with similar demographic characteristics, did not have a COVID-19 diagnosis. Overall, women with a diagnosis had an increased risk for MMMI (relative risk [RR] 1·16 [95% CI 1·03–1·31]) and SPMMI (RR 1·21 [95% CI 1·00–1·46]). Women with a diagnosis, compared with those without a diagnosis, also had increased risks of SNMI (RR 1·23 [95% CI 0·88–1·71]), although the lower bounds of the 95% CI crossed unity. Unvaccinated women with a COVID-19 diagnosis had a greater risk of MMMI (RR 1·36 [95% CI 1·12–1·65]). Severe COVID-19 symptoms in the total sample increased the risk of severe maternal complications (RR 2·51 [95% CI 1·84–3·43]), perinatal complications (RR 1·84 [95% CI 1·02–3·34]), and referral, intensive care unit (ICU) admission, or death (RR 11·83 [95% CI 6·67–20·97]). Severe COVID-19 symptoms in unvaccinated women increased the risk of MMMI (RR 2·88 [95% CI 2·02–4·12]) and referral, ICU admission, or death (RR 20·82 [95% CI 10·44–41·54]). 2886 (63%) of 4618 total participants had at least a single dose of any vaccine, and 2476 (54%) of 4618 had either complete or booster doses. Vaccine effectiveness (all vaccines combined) for severe complications of COVID-19 for all women with a complete regimen was 48% (95% CI 22–65) and 76% (47–89) after a booster dose. For women with a COVID-19 diagnosis, vaccine effectiveness of all vaccines combined for women with a complete regimen was 74% (95% CI 48–87) and 91% (65–98) after a booster dose. Interpretation COVID-19 in pregnancy, during the first 6 months of omicron as the variant of concern, was associated with increased risk of severe maternal morbidity and mortality, especially among symptomatic and unvaccinated women. Women with complete or boosted vaccine doses had reduced risk for severe symptoms, complications, and death. Vaccination coverage among pregnant women remains a priority

Adverse perinatal outcome and placental abnormalities in pregnancies with major fetal congenital heart defects: A retrospective case‐control study

Objective The placental development has been shown to be compromised in pregnancies affected by fetal congenital heart defects (CHD). This study aimed to investigate the frequency of complications related to utero‐placental insufficiency in pregnancies with and without major CHD. Method This retrospective case‐control study was conducted at a Fetal Echocardiography Center in Milan. The following outcomes were compared between the two groups: preeclampsia (PE), small for gestational age (SGA), placental disorders and preterm birth (PTB). The logistic regression analysis was adjusted for maternal age, parity, co‐morbidities and mode of conception. Results The CHD group (n = 480) showed significantly increased incidence of PE (2.9% vs 0.9%; aOR, 6.50; 95% CI, 1.39‐30.41; P = .017) as compared to the control group (n = 456). Placental disorders occurred more frequently in the CHD than in controls, but the increased risk showed only a borderline significance (4.5% vs 3.3%; aOR, 2.56; 95% CI, 0.99‐1.02; P = .046). There was a significantly higher risk of SGA in CHD than in controls (8.7% vs 3.9%; aOR, 3.37; 95% CI, 1.51‐7.51; P = .003). PTB occurred in 65/477 (13.6%) cases and in 39/447 (8.7%) controls (P = .022) (aOR, 2.17; 95% CI, 1.24‐3.81; P = .007). Conclusion Major CHD are significantly associated with the risk of PE, SGA and PTB

Preeclampsia and COVID-19: results from the INTERCOVID prospective longitudinal study

Background: It is unclear whether the suggested link between COVID-19 during pregnancy and preeclampsia is an independent association or if these are caused by common risk factors. Objective: This study aimed to quantify any independent association between COVID-19 during pregnancy and preeclampsia and to determine the effect of these variables on maternal and neonatal morbidity and mortality. Study Design: This was a large, longitudinal, prospective, unmatched diagnosed and not-diagnosed observational study assessing the effect of COVID-19 during pregnancy on mothers and neonates. Two consecutive not-diagnosed women were concomitantly enrolled immediately after each diagnosed woman was identified, at any stage during pregnancy or delivery, and at the same level of care to minimize bias. Women and neonates were followed until hospital discharge using the standardized INTERGROWTH-21st protocols and electronic data management system. A total of 43 institutions in 18 countries contributed to the study sample. The independent association between the 2 entities was quantified with the risk factors known to be associated with preeclampsia analyzed in each group. The outcomes were compared among women with COVID-19 alone, preeclampsia alone, both conditions, and those without either of the 2 conditions. Results: We enrolled 2184 pregnant women; of these, 725 (33.2%) were enrolled in the COVID-19 diagnosed and 1459 (66.8%) in the COVID-19 not-diagnosed groups. Of these women, 123 had preeclampsia of which 59 of 725 (8.1%) were in the COVID-19 diagnosed group and 64 of 1459 (4.4%) were in the not-diagnosed group (risk ratio, 1.86; 95% confidence interval, 1.32–2.61). After adjustment for sociodemographic factors and conditions associated with both COVID-19 and preeclampsia, the risk ratio for preeclampsia remained significant among all women (risk ratio, 1.77; 95% confidence interval, 1.25–2.52) and nulliparous women specifically (risk ratio, 1.89; 95% confidence interval, 1.17–3.05). There was a trend but no statistical significance among parous women (risk ratio, 1.64; 95% confidence interval, 0.99–2.73). The risk ratio for preterm birth for all women diagnosed with COVID-19 and preeclampsia was 4.05 (95% confidence interval, 2.99–5.49) and 6.26 (95% confidence interval, 4.35–9.00) for nulliparous women. Compared with women with neither condition diagnosed, the composite adverse perinatal outcome showed a stepwise increase in the risk ratio for COVID-19 without preeclampsia, preeclampsia without COVID-19, and COVID-19 with preeclampsia (risk ratio, 2.16; 95% confidence interval, 1.63–2.86; risk ratio, 2.53; 95% confidence interval, 1.44–4.45; and risk ratio, 2.84; 95% confidence interval, 1.67–4.82, respectively). Similar findings were found for the composite adverse maternal outcome with risk ratios of 1.76 (95% confidence interval, 1.32–2.35), 2.07 (95% confidence interval, 1.20–3.57), and 2.77 (95% confidence interval, 1.66–4.63). The association between COVID-19 and gestational hypertension and the direction of the effects on preterm birth and adverse perinatal and maternal outcomes, were similar to preeclampsia, but confined to nulliparous women with lower risk ratios. Conclusion: COVID-19 during pregnancy is strongly associated with preeclampsia, especially among nulliparous women. This association is independent of any risk factors and preexisting conditions. COVID-19 severity does not seem to be a factor in this association. Both conditions are associated independently of and in an additive fashion with preterm birth, severe perinatal morbidity and mortality, and adverse maternal outcomes. Women with preeclampsia should be considered a particularly vulnerable group with regard to the risks posed by COVID-19

Recent Advances in the Diagnosis and Management of Congenital Heart Defects

The prenatal assessment of congenital heart defects (CHD) and related fetal and maternal management is very challenging and delicate [...

Commentary: Predicting adverse outcomes in pregnant patients positive for SARS-CoV-2 by a machine learning approach

Abstract SARS-CoV-2 infection poses a significant risk increase for adverse pregnancy outcomes both from maternal and fetal sides. A recent publication in BMC Pregnancy and Childbirth presented a machine learning algorithm to predict this risk. This commentary will discuss potential implications and applications of this study for future global health policies

Cesarean Delivery Uptake Trends Associated With Patient Features and Threshold for Labor Anomalies

Cesarean Delivery Uptake Trends Associated With Patient Features and Threshold for Labor Anomalie