Risk Of Postpartum Hemorrhage Research Articles

Cephalad-caudad vs transverse blunt expansion of low transverse hysterotomy during caesarean section and risk of severe postpartum haemorrhage: A prospective comparative study

BackgroundThe global prevalence of caesarean section as a delivery method is increasing worldwide. However, there is notable divergence among countries in their national guidelines regarding the optimal technique for blunt expansion hysterotomy of the low transverse uterine incision during caesarean section (cephalad-caudad or transverse). AimTo compare the risk of severe postpartum haemorrhage (PPH) between cephalad-caudad and transverse blunt expansion hysterotomy during caesarean section. MethodsThis prospective comparative observational study was conducted in a university maternity hospital. All women who gave birth to one infant by caesarean section after 30 weeks of gestation between November 2020 and November 2021 were included in this study. The exclusion criteria were a coagulation disorder, the presence of placenta previa, multiple pregnancies, or enlargement of the hysterotomy with scissors. The choice between cephalad-caudad or transverse blunt expansion of the low transverse hysterotomy was left to the surgeon’s discretion. The primary outcome measure was severe PPH, defined as estimated blood loss ≥ 1000 ml. Univariate and multivariate analyses were employed to assess the risk of severe PPH associated with the two methods of enlarging the low transverse hysterotomy. ResultsThe study included 850 women, of whom 404 underwent transverse blunt expansion and 446 underwent cephalad-caudad blunt expansion. The overall incidence of severe PPH was 13.3 %. Univariate analysis revealed no significant difference in the frequency of severe PPH between the cephalad-caudad and transverse blunt expansion groups (13.9 % vs 12.6 %; p = 0.61). However, the use of additional surgical sutures (mainly additional haemostatic stitches) was less common with cephalad-caudad blunt expansion (26.7 % vs 36.9 %; p < 0.05). Multivariate analysis showed no significant difference in risk between the two techniques (odds ratio 1.17, 95 % confidence interval 0.77–1.78). ConclusionNo significant difference in the risk of severe PPH was found between cephalad-caudad and transverse blunt expansion of the low transverse hysterotomy during caesarean section.

Interpretable machine learning predicts postpartum hemorrhage with severe maternal morbidity in a lower-risk laboring obstetric population

BackgroundEarly identification of patients at increased risk for postpartum hemorrhage (PPH) associated with severe maternal morbidity (SMM) is critical for preparation and preventative intervention. However, prediction is challenging in patients without obvious risk factors for postpartum hemorrhage with severe maternal morbidity. Current tools for hemorrhage risk assessment use lists of risk factors rather than predictive models. ObjectiveTo develop, validate (internally and externally), and compare a machine learning model for predicting PPH associated with SMM against a standard hemorrhage risk assessment tool in a lower risk laboring obstetric population. Study DesignThis retrospective cross-sectional study included clinical data from singleton, term births (>=37 weeks’ gestation) at 19 US hospitals (2016–2021) using data from 58,023 births at 11 hospitals to train a generalized additive model (GAM) and 27,743 births at 8 held-out hospitals to externally validate the model. The outcome of interest was PPH with severe maternal morbidity (blood transfusion, hysterectomy, vascular embolization, intrauterine balloon tamponade, uterine artery ligation suture, uterine compression suture, or admission to intensive care). Cesarean birth without a trial of vaginal birth and patients with a history of cesarean were excluded. We compared the model performance to that of the California Maternal Quality Care Collaborative (CMQCC) Obstetric Hemorrhage Risk Factor Assessment Screen. ResultsThe GAM predicted PPH with an area under the receiver-operating characteristic curve (AUROC) of 0.67 (95% CI 0.64–0.68) on external validation, significantly outperforming the CMQCC risk screen AUROC of 0.52 (95% CI 0.50–0.53). Additionally, the GAM had better sensitivity of 36.9% (95% CI 33.01–41.02) than the CMQCC screen sensitivity of 20.30% (95% CI 17.40–22.52) at the CMQCC screen positive rate of 16.8%. The GAM identified in-vitro fertilization as a risk factor (adjusted OR 1.5; 95% CI 1.2–1.8) and nulliparous births as the highest PPH risk factor (adjusted OR 1.5; 95% CI 1.4–1.6). ConclusionOur model identified almost twice as many cases of PPH as the CMQCC rules-based approach for the same screen positive rate and identified in-vitro fertilization and first-time births as risk factors for PPH. Adopting predictive models over traditional screens can enhance PPH prediction.

Hepatitis B virus infection during pregnancy and the risk of postpartum hemorrhage: a protocol for systematic review and meta-analysis

Background: Hepatitis B virus (HBV) infection is a significant public health issue worldwide, with a hepatitis B surface antigen (HBsAg) seroprevalence of 3.5%. Maternal HBV infection during pregnancy, a common comorbidity, is associated with an increase in the risk of adverse obstetric and perinatal outcomes. However, the relationship between maternal HBV infection and postpartum hemorrhage (PPH), a leading contributor to maternal morbidity and mortality, is currently uncertain. The aim of this study is to comprehensively clarify the potential impact of maternal HBV on PPH risk. Methods and Analysis: The authors initially searched five English databases and three Chinese databases from their inception to 26th June 2023. Two reviewers will independently conduct study selection, data extraction, and quality assessment. Cohort and case–control studies investigating the effect of maternal HBV infection on PPH will be included, with study quality assessed using the Newcastle–Ottawa Scale (NOS). Meta-analyses will be performed using a fixed-effects model for I 2≤50% or a random-effects model otherwise. Several categories of subgroup analyses (e.g. sample size more than 1000 vs. less than 1000) and sensitivity analyses (e.g. omit NOS scores less than 7) will be conducted, and publication bias will be assessed through funnel plots, Begg’s and Egger’s tests using STATA 18.0. Ethics and Dissemination: This systematic review and meta-analysis do not require ethics approval and the results will be published in peer-reviewed journals. The findings of this systematic review will provide evidence on the impact of maternal HBV infection on PPH, which will contribute to better prevention and management of PPH in clinical practice and a better understanding of the disease burden of HBV infection. PROSPERO registration number: CRD42023442626

Postpartum Haemorrhage and Carboprost for Its Prevention: A Narrative Review.

The most frequent and harmful side effect of childbirth is obstetric haemorrhage. Postpartum haemorrhage (PPH) remains the primary cause of maternal mortality worldwide. Most PPH-related deaths take place in the first 24 hours of life. It is commonly believed that prompt diagnosis and treatment could avert the majority of PPH-related deaths. The rapid transition of haemorrhage from the remunerated to the decompensated stage is frequently overlooked. For this reason, anticipation, early detection, and management are crucial to reducing the risk of severe PPH (SPPH) or improving its clinical outcomes. Third-stage labour is a high-risk period for PPH. Active management of PPH is an effective intervention to lessen the incidence of PPH and has been promoted as a means of lowering fatality rates.Currently, prostaglandins (PGs) are advised as a second-line uterotonic medication. Strong uterotonic drugs such as carboprost tromethamine play a physiological role in human parturition, helping to birth the fetus and controlling PPH. Prostaglandins have a major effect on uterine tone, which minimizes blood loss. Their discovery, together with the use of their counterparts as uterotonics, has improved PPH management. In order to assist healthcare professionals in managing PPH promptly and minimizing adverse effects on both the mother and the newborn, this review will describe the causes of the disorder, the strategies that have been tried to treat it, and the role that carboprost plays in preventing it.

Machine learning approaches for predicting postpartum hemorrhage: a comprehensive systematic literature review

Postpartum hemorrhage (PPH) represents a significant threat to maternal health, particularly in developing countries, where it remains a leading cause of maternal mortality. Unfortunately, only 60% of pregnant women at high risk for PPH are identified, leaving 40% undetected until they experience PPH. To address this critical issue and ensure timely intervention, leveraging rapidly advancing technology with machine learning (ML) methodologies for maternal health prediction is imperative. This review synthesizes findings from 43 selected research articles, highlighting the predominant ML techniques employed in PPH prediction. Among these, logistic regression (LR), extreme gradient boosting (XGB), random forest (RF), and decision tree (DT) emerge as the most frequently utilized methods. By harnessing the power of ML, we aim to foster technological advancements in the healthcare sector, with a particular focus on maternal health and ultimately contribute to the reduction of maternal mortality rates worldwide.

Tranexamic acid versus oxytocin prophylaxis in reducing post-partum blood loss, in low-risk pregnant women: TRANOXY STUDY, a phase III randomized clinical trial

To assess the equivalence of tranexamic acid (TRAN) versus synthetic oxytocin (OXY) in reducing post-partum blood loss, in full-term patients (37-42 weeks), at low risk of post-partum hemorrhage, with vaginal childbirth. Phase III, randomized (1:1), open-label, longitudinal, multi-center, prospective clinical trial (Prot. n 63209, ClinicalTrials.gov Identifier: NCT02775773). From January 7, 2020, to June 30, 2023, a total of 256 women were enrolled at two general urban community hospitals in Italy, serving a multi-ethnic patient population with National Health Insurance. The primary outcome was to explore a potential equivalence between the two treatments (OXY and TRAN) in preventing total blood loss. Therefore, we randomized 231 women into two groups: Group A (OXY), 127 women who were administered 10UI intramuscularly within 5min from childbirth; Group B (TRAN), 104 women to whom 1-g slow intravenous infusion was administered within 5min from childbirth. At the time of delivery, mean blood loss for OXY group versus TRAN group was 269.12mL versus 263.88mL, respectively, with equivalence between the two groups. Similarly, there was equivalence in total blood loss between the OXY and the TRAN group (397.66mL versus 405.64mL, respectively. No statistical differences between Hb levels at admission and discharge in the two groups were reported. No difference was found in terms of additional uterotonic and surgical therapies between the two groups of patients. Neither group showed thrombotic complications at check-up performed after 7 days or after a questionnaire regarding adverse effects, subjected after 40 days. The study shows the equivalence of tranexamic acid versus synthetic oxytocin in post-partum blood loss prophylaxis in term patients at low risk of PPH with vaginal childbirth. The safety profiles of OXY and TRAN were similar. None.

Nurse's Knowledge Regarding Active Management of The Third Stage of Labor to Control Postpartum Hemorrhage

Background: Postpartum hemorrhage is a leading cause of maternal mortality and morbidity globally. The third stage of labor begins after the baby is born and ends with the delivery of the placenta. During this stage, the uterus needs to contract effectively to prevent excessive bleeding. Active Management of the Third Stage of Labor was introduced as a strategy to reduce the risk of postpartum hemorrhage. The study aimed to investigate nurses' knowledge of active management of the third stage of labor to control postpartum hemorrhage and investigate associated factors. Results: The study examined participant characteristics, revealing an average age of 35.93 (SD=8.52). Around 65.0% of nurses in the study had graduated from preparatory nursing. Most nurses (56.7%) had 5-10 years of hospital experience. A majority (65.0%) worked in postpartum areas. Over half (58.3%) had 4-6 years of experience without training. The study evaluated nurses' knowledge of active management of the third stage of labor, with responses on a scale ranging from 37-64. The overall expertise indicates that 75.0% of nurses needed a better understanding. The results highlighted that factors like nurses' education level (p= .024) and training courses (p= .041) predicted their knowledge of active management of the third stage of labor. Conclusions: The study found that nurses' knowledge of active management of the third stage of labor varied, overall indicating a poor understanding of nurses. The results highlighted significant predictors of this knowledge, including education level and participation in training courses. To enhance nurses' proficiency in active management of the third stage, it is recommended to focus on targeted educational programs and regular training opportunities.

Association between uterine artery embolization for postpartum hemorrhage and second delivery on maternal and offspring outcomes: a nationwide cohort study.

What are the maternal and neonatal outcomes of second delivery in women who underwent uterine artery embolization (UAE) during their first delivery? Women who underwent UAE during their first delivery exhibited higher risks of placental problems, preterm births, and postpartum hemorrhage (PPH) in second delivery and the second offspring also showed increased risk of major congenital malformations, admission to the neonatal intensive care units (NICU), necrotizing enterocolitis, intraventricular hemorrhage, and bronchopulmonary dysplasia. UAE is a minimally invasive procedure used as an alternative to hysterectomy for managing severe PPH. However, recent studies have raised concerns about potential obstetric complications, including recurrent PPH, placenta accreta spectrum (PAS), and fetal growth restriction in subsequent delivery following UAE. This was a nationwide retrospective cohort study using the Korean National Health Insurance Service (K-NHIS) database, covering 50 million individuals from 2004 to 2020. The cohort included 3616923 women with live births between 1 January 2005 and 31 December 2019 with follow-up data extending to 31 December 2020. The study included women who had their first live birth between 2005 and 2019, excluding those who underwent hysterectomy (without UAE = 3612389, UAE = 4534). Among them, we selected women who had single gestation secondary delivery (without UAE = 1694600, UAE = 1146). Propensity score matching was used to control for confounding factors, resulting in 11184 women without UAE and 1119 women with UAE for subsequent analysis. Women in the UAE group had significantly higher risks of PAS (odds ratio (OR) = 38.91, 95% CI = 18.61-81.34), placenta previa (OR = 6.98, 95% CI = 5.57-8.75), and preterm birth (OR = 2.23, 95% CI = 1.71-2.90) during their second delivery. The risk of recurrent PPH was also significantly higher (OR = 8.94, 95% CI = 7.19-11.12). Their second offspring were more likely to have major congenital malformations (OR = 1.62, 95% CI = 1.25-2.11) and adverse neonatal outcomes, including NICU admissions (OR = 1.83, 95% CI = 1.48-2.25). Long-term outcomes showed a higher risk of attention-deficit/hyperactivity disorder (hazard ratio = 1.64, 95% CI = 1.03-2.63) but were otherwise comparable to those in the without UAE group. Retrospective nature of the study may have introduced exposure and outcome misclassifications, despite the reliability of the K-NHIS database. Unmeasured confounders and selection bias due to only including live births could also have influenced the results. Women with a history of UAE require meticulous prenatal care and close monitoring during subsequent deliveries due to increased risks of complications. Counseling and referral to high-risk medical centers may improve outcomes. Further research is needed to understand the mechanisms of complications in both mothers and offspring at sequential delivery, as well as to refine UAE procedures. This study supported by Patient-Centered Clinical Research Coordinating Center (PACEN) funded by the Ministry of Health & Welfare, Republic of Korea (HC21C0123). This study was funded by S.-Y.O. The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article. N/A.

Meta-Analysis the Effect of Postpartum Exercise on Uterine Fundal Height

Background: Postpartum is a period that is at risk of causing complications and often contributes to maternal mortality rates in Indonesia. One of the causes of maternal death is an irregularity in the involution process, resulting in the risk of postpartum hemorrhage. This study aims to analyze and estimate the influence of postpartum exercise on reducing TFU in postpartum mothers. Subjects and Method: This study is a systematic review and meta-analysis. Search for articles through journal databases including: Google Scholar, PubMed, and Springer Link by selecting articles published from 2013 to February 2023. The population in the study was postpartum mothers with intervention in the form of postpartum exercise, comparison in the form of no intervention or no postpartum exercise, and the outcome is a decrease in TFU. The keywords used were (effect OR Influence) AND (“Parturition Gymnastics” OR “Postpartum Gymnastics” AND “fundal height” OR “decline of fundal height” OR “high uterine fundus” OR “Symphysial fundal height” OR “SFH” OR TFU”) AND (postpartum). The inclusion criteria were full paper articles using the Randomized Controlled Trial (RCT) research method, the analysis results used the Mean SD value, the intervention provided was postpartum exercise, the research subjects were postpartum mothers, with an outcome of decreasing TFU. Articles were collected using PRISMA flow diagrams and analyzed using the Review Manager 5.3 application. Results: Meta-analysis of 6 articles showed that postpartum exercise has an effect on reducing TFU in postpartum mothers by 0.46 units, which was higher than other interventions or no intervention, but this was not statistically significant. (SMD -0.46; 95% CI= -1.99 to 1.07; p=0.550). Conclusion: Postpartum exercise has an effect on reducing TFU in postpartum mothers.

Development and Validation of an Automated, Real-Time Predictive Model for Postpartum Hemorrhage

OBJECTIVE: To develop and validate a predictive model for postpartum hemorrhage that can be deployed in clinical care using automated, real-time electronic health record (EHR) data and to compare performance of the model with a nationally published risk prediction tool. METHODS: A multivariable logistic regression model was developed from retrospective EHR data from 21,108 patients delivering at a quaternary medical center between January 1, 2018, and April 30, 2022. Deliveries were divided into derivation and validation sets based on an 80/20 split by date of delivery. Postpartum hemorrhage was defined as blood loss of 1,000 mL or more in addition to postpartum transfusion of 1 or more units of packed red blood cells. Model performance was evaluated by the area under the receiver operating characteristic curve (AUC) and was compared with a postpartum hemorrhage risk assessment tool published by the CMQCC (California Maternal Quality Care Collaborative). The model was then programmed into the EHR and again validated with prospectively collected data from 928 patients between November 7, 2023, and January 31, 2024. RESULTS: Postpartum hemorrhage occurred in 235 of 16,862 patients (1.4%) in the derivation cohort. The predictive model included 21 risk factors and demonstrated an AUC of 0.81 (95% CI, 0.79–0.84) and calibration slope of 1.0 (Brier score 0.013). During external temporal validation, the model maintained discrimination (AUC 0.80, 95% CI, 0.72–0.84) and calibration (calibration slope 0.95, Brier score 0.014). This was superior to the CMQCC tool (AUC 0.69 [95% CI, 0.67–0.70], P&lt;.001). The model maintained performance in prospective, automated data collected with the predictive model in real time (AUC 0.82 [95% CI, 0.73–0.91]). CONCLUSION: We created and temporally validated a postpartum hemorrhage prediction model, demonstrated its superior performance over a commonly used risk prediction tool, successfully coded the model into the EHR, and prospectively validated the model using risk factor data collected in real time. Future work should evaluate external generalizability and effects on patient outcomes; to facilitate this work, we have included the model coefficients and examples of EHR integration in the article.

Predictive Modelling of Postpartum Haemorrhage Using Early Risk Factors: A Comparative Analysis of Statistical and Machine Learning Models.

Postpartum haemorrhage (PPH) is a significant cause of maternal morbidity and mortality worldwide, particularly in low-resource settings. This study aimed to develop a predictive model for PPH using early risk factors and rank their importance in terms of predictive ability. The dataset was obtained from an observational case-control study in northern Rwanda. Various statistical models and machine learning techniques were evaluated, including logistic regression, logistic regression with elastic-net regularisation, Random Forests, Extremely Randomised Trees, and gradient-boosted trees with XGBoost. The Random Forest model, with an average sensitivity of 80.7%, specificity of 71.3%, and a misclassification rate of 12.19%, outperformed the other models, demonstrating its potential as a reliable tool for predicting PPH. The important predictors identified in this study were haemoglobin level during labour and maternal age. However, there were differences in PPH risk factor importance in different data partitions, highlighting the need for further investigation. These findings contribute to understanding PPH risk factors, highlight the importance of considering different data partitions and implementing cross-validation in predictive modelling, and emphasise the value of identifying the appropriate prediction model for the application. Effective PPH prediction models are essential for improving maternal health outcomes on a global scale. This study provides valuable insights for healthcare providers to develop predictive models for PPH to identify high-risk women and implement targeted interventions.

The influence of uterine fibroids on adverse outcomes in pregnant women: a meta-analysis

ObjectiveThe objective of the meta-analysis was to determine the influence of uterine fibroids on adverse outcomes, with specific emphasis on multiple or large (≥ 5 cm in diameter) fibroids.Materials and methodsWe searched PubMed, Embase, Web of Science, ClinicalTrials.gov, China National Knowledge Infrastructure (CNKI), and SinoMed databases for eligible studies that investigated the influence of uterine fibroids on adverse outcomes in pregnancy. The pooled risk ratio (RR) of the variables was estimated with fixed effect or random effect models.ResultsTwenty-four studies with 237 509 participants were included. The pooled results showed that fibroids elevated the risk of adverse outcomes, including preterm birth, cesarean delivery, placenta previa, miscarriage, preterm premature rupture of membranes (PPROM), placental abruption, postpartum hemorrhage (PPH), fetal distress, malposition, intrauterine fetal death, low birth weight, breech presentation, and preeclampsia. However, after adjusting for the potential factors, negative effects were only seen for preterm birth, cesarean delivery, placenta previa, placental abruption, PPH, intrauterine fetal death, breech presentation, and preeclampsia. Subgroup analysis showed an association between larger fibroids and significantly elevated risks of breech presentation, PPH, and placenta previa in comparison with small fibroids. Multiple fibroids did not increase the risk of breech presentation, placental abruption, cesarean delivery, PPH, placenta previa, PPROM, preterm birth, and intrauterine growth restriction. Meta-regression analyses indicated that maternal age only affected the relationship between uterine fibroids and preterm birth, and BMI influenced the relationship between uterine fibroids and intrauterine fetal death. Other potential confounding factors had no impact on malposition, fetal distress, PPROM, miscarriage, placenta previa, placental abruption, and PPH.ConclusionThe presence of uterine fibroids poses increased risks of adverse pregnancy and obstetric outcomes. Fibroid size influenced the risk of breech presentation, PPH, and placenta previa, while fibroid numbers had no impact on the risk of these outcomes.

Agnostic identification of plasma biomarkers for postpartum hemorrhage risk

Postpartum hemorrhage is difficult to predict, is associated with significant maternal morbidity, and is the leading cause of maternal mortality worldwide. The identification of maternal biomarkers that can predict increased postpartum hemorrhage risk would enhance clinical care and may uncover mechanisms that lead to postpartum hemorrhage. This retrospective case-control study employed agnostic proteomic profiling of maternal plasma samples to identify differentially abundant proteins in controls and postpartum hemorrhage cases. Maternal plasma samples were procured from a cohort of >60,000 participants in a single institution's perinatal repository. Postpartum hemorrhage was defined as a decrease in hematocrit of ≥10% or receipt of transfusion within 24 hours after delivery. Postpartum hemorrhage cases (n=30) were matched by maternal age and delivery mode (vaginal or cesarean) with controls (n=56). Mass spectrometry was used to identify differentially abundant proteins using integrated peptide peak areas. Statistically significant differences between groups were defined as P<.05 after controlling for multiple comparisons. By study design, cases and controls did not differ in race, ethnicity, gestational age at delivery, blood type, or predelivery platelet count. Cases had slightly but significantly lower predelivery and postdelivery hematocrit and hemoglobin. Mass spectrometry detected 1140 proteins, including 77 proteins for which relative abundance differed significantly between cases and controls (fold change >1.15, P<.05). Of these differentially abundant plasma proteins, most had likely liver or placental origins. Gene ontology term analysis mapped to protein clusters involved in responses to wound healing, stress response, and host immune defense. Significantly differentially abundant proteins with the highest fold change (prostaglandin D2 synthase, periostin, and several serine protease inhibitors) did not correlate with predelivery hematocrit or hemoglobin but identified postpartum hemorrhage cases with logistic regression modeling revealing good-to-excellent area under the operator receiver characteristic curves (0.802-0.874). Incorporating predelivery hemoglobin with these candidate proteins further improved the identification of postpartum hemorrhage cases. Agnostic analysis of maternal plasma samples identified differentially abundant proteins in controls and postpartum hemorrhage cases. Several of these proteins are known to participate in biologically plausible pathways for postpartum hemorrhage risk and have potential value for predicting postpartum hemorrhage. These findings identify candidate protein biomarkers for future validation and mechanistic studies.

Prediction of bleeding in labor in women with uterine scar as a tool to prevent massive blood loss: an observational cohort study

Background. Postpartum hemorrhage is recognized as a leading cause of maternal mortality and morbidity in the world. Predicting postpartum hemorrhage in high-risk patients with uterine scar enables preventive measures to be scheduled and costs of treatment and rehabilitation to be reduced.Objective. To determine antenatal predictors of high postpartum hemorrhage risk in pregnant women with uterine scar in order to improve the prevention of massive blood loss.Methods. An observational cohort study involves the medical records of 4494 maternity women with uterine scar (pregnancy and delivery histories) of the Perinatal Center of Regional Clinical Hospital No. 2, Krasnodar Krai. The study sample included data of maternity women coded O34.2 according to International Classification of Diseases, 10th Edition, for the period from 2017 to 2020. The sample participants were distributed into two groups depending on the blood loss during delivery, determined in compliance with clinical recommendations: a group of patients without massive blood loss during delivery and a group of patients with massive blood loss in labor/early postpartum period. The study was mainly focused on parameters of the prediction performance of bleeding in labor and early postpartum period in pregnant women with uterine scar using a multiparametric, logistic regression models. The study considered demographic data, comorbidity, obstetric history, pregnancy course, ultrasound data, and volume of blood loss at delivery. The performance of prediction for postpartum hemorrhage was calculated using multivariate binary logistic regression. Descriptive statistical analysis was carried out by means of statistical software package SPSS Version 26 (IBM, USA). Two-sided p-value &lt; 0.05 was taken as a statistically significant difference. A prognostic significance of predictors was determined by binary logistic regression. The Wald statistic was used to determine an observed significance. In order to define the performance of the model, the study involved calculating sensitivity, specificity, positive and negative predictive value, Nagelkerke coefficient of determination, as well as performing ROC analysis. The DeLong test was used for paired comparisons of ROC curves.Results. In the retrospective follow-up group (2017–2020) (n = 502), postpartum hemorrhage with massive blood loss occurred in 41 cases (8.17%). For the model based on clinical-anamnestic predictors, the prediction performance for postpartum hemorrhage comprised: sensitivity = 12.2% (95% confidence interval (CI) 4.1–26.2); specificity = 99.3% (95% CI 98.1–99.9); positive predictive value = 62.5% (95% CI 24.5–91.5); negative predictive value = 92.6% (95% CI 89.9–94.8); area under the ROC curve = 0.864 (95% CI 0.807–0.920), p &lt; 0.001. The prediction performance for the model based on three ultrasound predictors (asymmetry coefficient of placental thickness, uterine wall bulging in the scar and myometrial thickness in the placentation zone) comprised: sensitivity = 85.4% (95% CI 70.8–94.4); specificity = 98.5% (95% CI 96.9–99.4); positive predictive value = 83.3% (95% CI 68.6–93.0); negative predictive value = 98.7% (95% CI 97.2–99.5); area under the ROC curve = 0.919 (95% CI 0.855–0.983), p &lt; 0.001. No significant difference was revealed for the performance of the models ( p = 0.170). For the model based on ultrasound predictors and placenta previa, the prediction performance comprised: sensitivity = 85.4% (95% CI 70.8–94.4); specificity = 98.5% (95% CI 96.9–99.4); positive predictive value = 83.3% (95% CI 68.6–93.0); negative predictive value = 98.7% (95% CI 97.2–99.5); area under the ROC curve = 0.955 (95% CI 0.912–0.999), p &lt; 0.001. The model based on clinical-anamnestic and ultrasound indicators predicted postpartum hemorrhage with sensitivity equal to 85.4% (95% CI 70.8–94.4); specificity — 98.9% (95% CI 97.4–99.6); positive predictive value — 87.5% (95% CI 73.2–95.8); negative predictive value — 98.7% (95% CI 97.1–99.5); area under the ROC curve — 0.984 (95% CI 0.966–1.0), р &lt; 0,001. Thus, this model outperformed the model based on clinical-anamnestic data (p &lt; 0.001), based on ultrasound predictors (p = 0.006) and revealed no difference with the model considering placenta previa and ultrasound predictors (p = 0.127). Using prenatal prediction of postpartum hemorrhage based on ultrasound features, the incidence of massive blood loss at delivery decreased from 6.88/1000 deliveries (2019–2020) to 4.18/1000 deliveries (2021–2022) (p &lt; 0.001).Conclusion. Ultrasound predictors in pregnant women with uterine scar increase the sensitivity of antenatal prediction of postpartum hemorrhage based on the assessment of clinical and anamnestic risk factors, thereby enabling preventive measures to be scheduled in the risk group and incidence of massive blood loss to be reduced.

Risk of Postpartum Hemorrhage in Hypertensive Disorders of Pregnancy: Stratified by Severity.

We aimed to determine the composite maternal hemorrhagic outcome (CMHO) among individuals with and without hypertensive disorders of pregnancy (HDP), stratified by disease severity. Additionally, we investigated the composite neonatal adverse outcome (CNAO) among individuals with HDP who had postpartum hemorrhage (PPH) versus did not have PPH. Our retrospective cohort study included all singletons who delivered at a Level IV center over two consecutive years. The primary outcome was the rate of CMHO, defined as blood loss ≥1,000 mL, use of uterotonics, mechanical tamponade, surgical techniques for atony, transfusion, venous thromboembolism, intensive care unit admission, hysterectomy, or maternal death. A subgroup analysis was performed to investigate the primary outcome stratified by (1) chronic hypertension, (2) gestational hypertension and preeclampsia without severe features, and (3) preeclampsia with severe features. A multivariable regression analysis was performed to investigate the association of HDP with and without PPH on a CNAO which included APGAR <7 at 5 minutes, bronchopulmonary dysplasia, intraventricular hemorrhage, necrotizing enterocolitis, seizures, neonatal sepsis, meconium aspiration syndrome, ventilation >6 hours, hypoxic-ischemic encephalopathy, or neonatal death. Of 8,357 singletons, 2,827 (34%) had HDP. Preterm delivery <37 weeks, induction of labor, prolonged oxytocin use, and magnesium sulfate usage were more common in those with versus without HDP (p < 0.001). CMHO was higher among individuals with HDP than those without HDP (26 vs. 19%; adjusted relative risk [aRR] 1.11, 95% CI 1.01-1.22). In the subgroup analysis, only individuals with preeclampsia with severe features were associated with higher CMHO (n = 802; aRR 1.52, 95% CI 1.32-1.75). There was a higher likelihood of CNAO in individuals with both HDP and PPH compared to those with HDP without PPH (aRR 1.49, 95% CI 1.06-2.09). CMHO was higher among those with HDP. After stratification, only those with preeclampsia with severe features had an increased risk of CMHO. Among individuals with HDP, those who also had a PPH had worse neonatal outcomes than those without hemorrhage. · Individuals with HDP had an 11% higher likelihood of CMHO.. · After stratification, increased CMHO was limited to those with preeclampsia with severe features.. · There was a higher likelihood of CNAO in those with both HDP and PPH compared to HDP without PPH..

Risk Factors for Postpartum Hemorrhage in Severe Pre-Eclampsia: A Retrospective Single-Centre Study of 1953 Cases.

BACKGROUND Severe pre-eclampsia (sPE) and postpartum hemorrhage (PPH) in pregnancy have serious impact on maternal and fetal health and life. Co-occurrence of sPE and PPH often leads to poor pregnancy outcomes. We explored risk factors associated with PPH in women with sPE. MATERIAL AND METHODS This retrospective study included 1953 women with sPE who delivered at the Women's Hospital of Nanjing Medical University between April 2015 and April 2023. Risk factors for developing PPH in sPE were analyzed, and subgroups were analyzed by delivery mode (cesarean and vaginal). RESULTS A total of 197 women with PPH and 1756 women without PPH were included. Binary logistic regression results showed twin pregnancy (P<0.001), placenta accreta spectrum disorders (P=0.045), and placenta previa (P<0.001) were independent risk factors for PPH in women with sPE. Subgroup analysis showed risk factors for PPH in cesarean delivery group were the same as in the total population, but vaginal delivery did not reduce risk of PPH. Spinal anesthesia reduced risk of PPH relative to general anesthesia (P=0.034). Vaginal delivery group had no independent risk factors for PPH; however, magnesium sulfate (P=0.041) reduced PPH incidence. CONCLUSIONS Women with twin pregnancy, placenta accreta spectrum disorders, placenta previa, and assisted reproduction with sPE should be alerted to the risk of PPH, and spinal anesthesia should be preferred in cesarean delivery. Magnesium sulfate should be used aggressively in women with sPE; however, the relationship between magnesium sulfate and PPH risk needs further investigation.

Prenatal anaemia and risk of postpartum haemorrhage: a cohort analysis of data from the Predict-PPH study

BackgroundMost previous clinical studies investigating the connection between prenatal anaemia and postpartum haemorrhage (PPH) have reported conflicting results.ObjectivesWe examined the association between maternal prenatal anaemia and the risk of PPH in a large cohort of healthy pregnant women in five health institutions in Lagos, Southwest Nigeria.MethodsThis was a prospective cohort analysis of data from the Predict-PPH study that was conducted between January and June 2023. The study enrolled n = 1222 healthy pregnant women giving birth in five hospitals in Lagos, Nigeria. The study outcome, WHO-defined PPH, is postpartum blood loss of at least 500 milliliters. We used a multivariable logistic regression model with a backward stepwise conditional approach to examine the association between prenatal anaemia of increasing severity and PPH while adjusting for confounding factors.ResultsOf the 1222 women recruited to the Predict-PPH study between January and June 2023, 1189 (97·3%) had complete outcome data. Up to 570 (46.6%) of the enrolled women had prenatal anaemia while 442 (37.2%) of those with complete follow-up data had WHO-defined PPH. After controlling for potential confounding factors, maternal prenatal anaemia was independently associated with PPH (adjusted odds ratio = 1.37, 95% confidence interval: 1.05–1.79). However, on the elimination of interaction effects of coexisting uterine fibroids and mode of delivery on this association, a sensitivity analysis yielded a lack of significant association between prenatal anaemia and PPH (adjusted odds ratio = 1.27, 95% confidence interval: 0.99–1.64). We also recorded no statistically significant difference in the median postpartum blood loss in women across the different categories of anaemia (P = 0.131).ConclusionOur study revealed that prenatal anaemia was not significantly associated with PPH. These findings challenge the previously held belief of a suspected link between maternal anaemia and PPH. This unique evidence contrary to most previous studies suggests that other factors beyond prenatal anaemia may contribute more significantly to the occurrence of PPH. This highlights the importance of comprehensive assessment and consideration of various maternal health factors in predicting and preventing this life-threatening obstetric complication.

Low-dose aspirin for the prevention of preterm birth in nulliparous women: systematic review and meta-analysis

ObjectiveThe objective was to assess the efficacy and safety of low-dose aspirin for the prevention of preterm birth in nulliparous women.Data sourcesWe searched PubMed, Embase and the Cochrane Central Register of Controlled Trials (CENTRAL) from inception to June 2022.Study eligibility criteriaRandomized controlled trials that compared aspirin to placebo in nulliparous women were eligible.MethodsThis study was reported in accordance with the PRISMA 2020 checklist. The primary outcomes of this study were the rates of preterm birth at less than 37 weeks and less than 34 weeks of gestation. The secondary outcomes included postpartum hemorrhage, placental abruption, cesarean section, any hypertensive disorder of pregnancy and small for gestational age. Relative risks with their 95% confidence intervals were calculated for analysis. Heterogeneity was assessed by Cochran’s Q test and Higgins’s I2. A random-effects model was used when I2 was > 50% to generate the RR and 95% CI; otherwise, a fixed-effects model was used. The risk of publication bias was assessed by funnel plots. We performed sensitivity analysis by sequentially omitting each included study to confirm the robustness of the analysis.ResultsSeven studies with a total of 29,029 participants were included in this review. Six studies were assessed as having a low risk of bias or an unclear risk of bias, and one study was judged as having a high risk of bias. In nulliparous women, low-dose aspirin was associated with a significant reduction in the rate of preterm birth at less than 34 weeks of gestational age (RR 0.84,95% CI: 0.71–0.99; I2 = 0%; P = 0.04), but we did not observe a significant difference in the rate of preterm birth at less than 37 weeks of gestation (RR 0.96,95% CI: 0.90–1.02; I2 = 31%; P = 0.18). Low-dose aspirin was associated with a significant increase in the rates of postpartum hemorrhage (RR 1.32,95% CI: 1.14–1.54; I2 = 0%; P = 0.0003), placental abruption (RR 2.18,95% CI: 1.10–4.32; I2 = 16%; P = 0.02) and cesarean section (RR 1.053, 95% CI: 1.001–1.108; I2 = 0%; P = 0.05) in nulliparous women. We also did not observe a significant effect of low-dose aspirin on the rates of any hypertensive disorder of pregnancy (RR 1.05, 95% CI: 0.96–1.14; I2 = 9%; P = 0.28) or small for gestational age (RR 0.96, 95% CI: 0.91–1.02; I2 = 0%; P = 0.16) in nulliparous women. Funnel plots indicated that no significant publication bias existed in this meta-analysis. Except for preterm birth at less than 34 weeks of gestation, placental abruption and cesarean section, the sensitivity analysis showed similar results, which confirmed the robustness of this meta-analysis.ConclusionsLow-dose aspirin might reduce the risk of preterm birth at less than 34 weeks of gestation in nulliparous women. The use of low-dose aspirin in nulliparous women increased the risk of postpartum hemorrhage and might increase the risk of placental abruption and cesarean section.

Maternal outcomes of planned mode of delivery for term breech in nulliparous women.

To estimate short- and long-term maternal complications in relation to planned mode of term breech delivery in first pregnancy. Register-based cohort study. Denmark. Nulliparous women with singleton breech delivery at term between 1991 and 2018 (n = 30,778). We used data from the Danish national health registries to identify nulliparous women with singleton breech presentation at term and their subsequent pregnancies. We performed logistic regression to compare the risks of maternal complications by planned mode of delivery. All data were proceeded and statistical analyses were performed in SAS 9.4 (SAS Institute Inc. Cary, NC, USA). Postpartum hemorrhage, operative complications, puerperal infections in first pregnancy and uterine rupture, placenta previa, post-partum hemorrhage, hysterectomy and stillbirth in the subsequent two pregnancies. We identified 19,187 with planned cesarean and 9,681 with planned vaginal breech delivery of which 2,970 (30.7%) delivered vaginally. Planned cesarean significantly reduced the risk of postoperative infections (2.4% vs 3.9% adjusted odds ratio (aOR): 0.54 95% confidence interval (CI) 0.44-0.66) and surgical organ lesions (0.06% vs 0.1%; (aOR): 0.29 95% CI 0.11-0.76) compared to planned vaginal breech delivery. Planned cesarean delivery in the first pregnancy was associated with a significantly higher risk of uterine rupture in the subsequent pregnancies but not with risk of postpartum hemorrhage, placenta previa, hysterectomy, or stillbirth. Compared to planned vaginal breech delivery at term, nulliparous women with planned cesarean breech delivery have a significantly reduced risk of postoperative complications but a higher risk of uterine rupture in their subsequent pregnancies.

Aspirin for preeclampsia prevention in low- and middle-income countries: mind the gaps

Preeclampsia is a syndrome that continues to be a major contributor to maternal and neonatal mortality, especially in low-income countries. Low-dose aspirin reduces the risk of preeclampsia, but the mechanism is still unknown. Risk factors to identify women at risk of preeclampsia are based on clinical characteristics. Women identified as high-risk would benefit from aspirin treatment initiated preferably at the end of the first trimester. Current efforts have largely focused on developing screening algorithms that incorporate clinical risk factors, maternal biomarkers, and uterine artery Doppler evaluated in the first trimester. However, most studies on preeclampsia are conducted in high-income settings, raising uncertainties about whether the information gained can be totally applied in low-resource settings. In low- and middle-income countries, lack of adequate antenatal care and late commencement of antenatal care visits pose significant challenges for both screening for preeclampsia and initiating aspirin treatment. Further, the preventive effect of first-trimester screening based on algorithms and subsequent aspirin treatment is primarily seen for preterm preeclampsia, and reviews indicate minimal or no impact on reducing the risk of term preeclampsia. The lack of evidence regarding the effectiveness of aspirin in preventing term preeclampsia is a crucial concern, as 75% of women will develop this subtype of the syndrome. Regarding adverse outcomes, low-dose aspirin has been linked to a possible higher risk of postpartum hemorrhage, a condition as deadly as preeclampsia in many low- and middle-income countries. The increased risk of postpartum hemorrhage among women in low-income settings should be taken into consideration when discussing which pregnant women would benefit from the use of aspirin and the ideal aspirin dosage for preventing preeclampsia. Additionally, women's adherence to aspirin during pregnancy is crucial for determining its effectiveness and complications, an aspect often overlooked in trials. In this review, we analyze the knowledge gaps that must be addressed to safely increase low-dose aspirin use in low- and middle-income countries and we propose directions for future research.