Development and validation of prediction models for fetal growth restriction and birthweight: an individual participant data meta-analysis.

Background: Fetal growth restriction is associated with perinatal morbidity and mortality. Early identification of women having at-risk fetuses can reduce perinatal adverse outcomes. Objectives: To assess the predictive performance of existing models predicting fetal growth restriction and birthweight, and if needed, to develop and validate new multivariable models using individual participant data. Design: Individual participant data meta-analyses of cohorts in International Prediction of Pregnancy Complications network, decision curve analysis and health economics analysis. Participants: Pregnant women at booking. External validation of existing models (9 cohorts, 441,415 pregnancies); International Prediction of Pregnancy Complications model development and validation (4 cohorts, 237,228 pregnancies). Predictors: Maternal clinical characteristics, biochemical and ultrasound markers. Primary outcomes: fetal growth restriction defined as birthweight <10th centile adjusted for gestational age and with stillbirth, neonatal death or delivery before 32 weeks' gestation birthweight. Analysis: First, we externally validated existing models using individual participant data meta-analysis. If needed, we developed and validated new International Prediction of Pregnancy Complications models using random-intercept regression models with backward elimination for variable selection and undertook internal-external cross-validation. We estimated the study-specific performance (c-statistic, calibration slope, calibration-in-the-large) for each model and pooled using random-effects meta-analysis. Heterogeneity was quantified using τ2 and 95% prediction intervals. We assessed the clinical utility of the fetal growth restriction model using decision curve analysis, and health economics analysis based on National Institute for Health and Care Excellence 2008 model. Results: Of the 119 published models, one birthweight model (Poon) could be validated. None reported fetal growth restriction using our definition. Across all cohorts, the Poon model had good summary calibration slope of 0.93 (95% confidence interval 0.90 to 0.96) with slight overfitting, and underpredicted birthweight by 90.4 g on average (95% confidence interval 37.9 g to 142.9 g). The newly developed International Prediction of Pregnancy Complications-fetal growth restriction model included maternal age, height, parity, smoking status, ethnicity, and any history of hypertension, pre-eclampsia, previous stillbirth or small for gestational age baby and gestational age at delivery. This allowed predictions conditional on a range of assumed gestational ages at delivery. The pooled apparent c-statistic and calibration were 0.96 (95% confidence interval 0.51 to 1.0), and 0.95 (95% confidence interval 0.67 to 1.23), respectively. The model showed positive net benefit for predicted probability thresholds between 1% and 90%. In addition to the predictors in the International Prediction of Pregnancy Complications-fetal growth restriction model, the International Prediction of Pregnancy Complications-birthweight model included maternal weight, history of diabetes and mode of conception. Average calibration slope across cohorts in the internal-external cross-validation was 1.00 (95% confidence interval 0.78 to 1.23) with no evidence of overfitting. Birthweight was underestimated by 9.7 g on average (95% confidence interval -154.3 g to 173.8 g). Limitations: We could not externally validate most of the published models due to variations in the definitions of outcomes. Internal-external cross-validation of our International Prediction of Pregnancy Complications-fetal growth restriction model was limited by the paucity of events in the included cohorts. The economic evaluation using the published National Institute for Health and Care Excellence 2008 model may not reflect current practice, and full economic evaluation was not possible due to paucity of data. Future work: International Prediction of Pregnancy Complications models' performance needs to be assessed in routine practice, and their impact on decision-making and clinical outcomes needs evaluation. Conclusion: The International Prediction of Pregnancy Complications-fetal growth restriction and International Prediction of Pregnancy Complications-birthweight models accurately predict fetal growth restriction and birthweight for various assumed gestational ages at delivery. These can be used to stratify the risk status at booking, plan monitoring and management. Study registration: This study is registered as PROSPERO CRD42019135045. Funding: This award was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme (NIHR award ref: 17/148/07) and is published in full in Health Technology Assessment; Vol. 28, No. 14. See the NIHR Funding and Awards website for further award information.

One in ten babies is born small for their age. A third of such small babies are considered to be 'growth-restricted' as they have complications such as dying in the womb (stillbirth) or after birth (newborn death), cerebral palsy, or needing long stays in hospital. When growth restriction is suspected in fetuses, they are closely monitored and often delivered early to avoid complications. Hence, it is important that we identify growth-restricted babies early to plan care. Our goal was to provide personalised and accurate estimates of the mother's chances of having a growth-restricted baby and predict the baby's weight if delivered at various time points in pregnancy. To do so, first we tested how accurate existing risk calculators ('prediction models') were in predicting growth restriction and birthweight. We then developed new risk-calculators and studied their clinical and economic benefits. We did so by accessing the data from individual pregnant women and their babies in our large database library (International Prediction of Pregnancy Complications). Published risk-calculators had various definitions of growth restriction and none predicted the chances of having a growth-restricted baby using our definition. One predicted baby's birthweight. This risk-calculator performed well, but underpredicted the birthweight by up to 143 g. We developed two new risk-calculators to predict growth-restricted babies (International Prediction of Pregnancy Complications-fetal growth restriction) and birthweight (International Prediction of Pregnancy Complications-birthweight). Both calculators accurately predicted the chances of the baby being born with growth restriction, and its birthweight. The birthweight was underpredicted by <9.7 g. The calculators performed well in both mothers predicted to be low and high risk. Further research is needed to determine the impact of using these calculators in practice, and challenges to implementing them in practice. Both International Prediction of Pregnancy Complications-fetal growth restriction and International Prediction of Pregnancy Complications-birthweight risk calculators will inform healthcare professionals and empower parents make informed decisions on monitoring and timing of delivery.

Development and validation of a prognostic model to predict birth weight: individual participant data meta-analysis.

Objective: To predict birth weight at various potential gestational ages of delivery based on data routinely available at the first antenatal visit. Design: Individual participant data meta-analysis. Data sources: Individual participant data of four cohorts (237 228 pregnancies) from the International Prediction of Pregnancy Complications (IPPIC) network dataset. Eligibility criteria for selecting studies: Studies in the IPPIC network were identified by searching major databases for studies reporting risk factors for adverse pregnancy outcomes, such as pre-eclampsia, fetal growth restriction, and stillbirth, from database inception to August 2019. Data of four IPPIC cohorts (237 228 pregnancies) from the US (National Institute of Child Health and Human Development, 2018; 233 483 pregnancies), UK (Allen et al, 2017; 1045 pregnancies), Norway (STORK Groruddalen research programme, 2010; 823 pregnancies), and Australia (Rumbold et al, 2006; 1877 pregnancies) were included in the development of the model. Results: The IPPIC birth weight model was developed with random intercept regression models with backward elimination for variable selection. Internal-external cross validation was performed to assess the study specific and pooled performance of the model, reported as calibration slope, calibration-in-the-large, and observed versus expected average birth weight ratio. Meta-analysis showed that the apparent performance of the model had good calibration (calibration slope 0.99, 95% confidence interval (CI) 0.88 to 1.10; calibration-in-the-large 44.5 g, -18.4 to 107.3) with an observed versus expected average birth weight ratio of 1.02 (95% CI 0.97 to 1.07). The proportion of variation in birth weight explained by the model (R2) was 46.9% (range 32.7-56.1% in each cohort). On internal-external cross validation, the model showed good calibration and predictive performance when validated in three cohorts with a calibration slope of 0.90 (Allen cohort), 1.04 (STORK Groruddalen cohort), and 1.07 (Rumbold cohort), calibration-in-the-large of -22.3 g (Allen cohort), -33.42 (Rumbold cohort), and 86.4 g (STORK Groruddalen cohort), and observed versus expected ratio of 0.99 (Rumbold cohort), 1.00 (Allen cohort), and 1.03 (STORK Groruddalen cohort); respective pooled estimates were 1.00 (95% CI 0.78 to 1.23; calibration slope), 9.7 g (-154.3 to 173.8; calibration-in-the-large), and 1.00 (0.94 to 1.07; observed v expected ratio). The model predictions were more accurate (smaller mean square error) in the lower end of predicted birth weight, which is important in informing clinical decision making. Conclusions: The IPPIC birth weight model allowed birth weight predictions for a range of possible gestational ages. The model explained about 50% of individual variation in birth weights, was well calibrated (especially in babies at high risk of fetal growth restriction and its complications), and showed promising performance in four different populations included in the individual participant data meta-analysis. Further research to examine the generalisability of performance in other countries, settings, and subgroups is required. Trial registration: PROSPERO CRD42019135045.

Design, construction, and validation of obstetric risk classification systems to predict intensive care unit admission.

INTRODUCTION: To develop and validate a support tool for healthcare providers, enabling them to make precise and critical decisions regarding intensive care unit (ICU) admissions for high-risk pregnant women, thus enhancing maternal outcomes. METHODS: This retrospective study involves secondary data analysis of information gathered from 9550 pregnant women, who had severe maternal morbidity (any unexpected complication during labor and delivery that leads to substantial short-term or long-term health issues for the mother), collected between 2009 and 2010 from the Brazilian Network for Surveillance of Severe Maternal Morbidity, encompassing 27 obstetric reference centers in Brazil. Machine-learning models, including decision trees, Random Forest, Gradient Boosting Machine (GBM), and Extreme Gradient Boosting (XGBoost), were employed to create a risk prediction tool for ICU admission. Subsequently, sensitivity analysis was conducted to compare the accuracy, predictive power, sensitivity, and specificity of these models, with differences analyzed using the Wilcoxon test. RESULTS: The XGBoost algorithm demonstrated superior efficiency, achieving an accuracy rate of 85%, sensitivity of 42%, specificity of 97%, and an area under the receiver operating characteristic curve of 86.7%. Notably, the estimated prevalence of ICU utilization by the model (11.6%) differed from the prevalence of ICU use from the study (21.52%). CONCLUSION: The developed risk engine yielded positive results, emphasizing the need to optimize intensive care bed utilization and objectively identify high-risk pregnant women requiring these services. This approach promises to enhance the effective and efficient management of pregnant women, particularly in resource-constrained regions worldwide. By streamlining ICU admissions for high-risk cases, healthcare providers can better allocate critical resources, ultimately contributing to improved maternal health outcomes.

Hypertensive disorders during pregnancy as a major cause of preterm birth and adverse perinatal outcomes: findings from a Brazilian National Survey.

OBJECTIVE: This study aimed to evaluate the prevalence of hypertensive disorders during pregnancy among Brazilian women with preterm births and to compare the epidemiological characteristics and perinatal outcomes among preterm births of women with and without hypertension. METHODS: This was a secondary cross-sectional analysis of the Brazilian Multicenter Study on Preterm Birth. During the study period, all women with preterm births were included and further split into two groups according to the occurrence of any hypertensive disorder during pregnancy. Prevalence ratios were calculated for each variable. Maternal characteristics, prenatal care, and gestational and perinatal outcomes were compared between the two groups using χ2 and t-tests. RESULTS: A total of 4,150 women with preterm births were included, and 1,169 (28.2%) were identified as having hypertensive disorders. Advanced maternal age (prevalence ratio (PR) 2.49) and obesity (PR= 2.64) were more common in the hypertensive group. The gestational outcomes were worse in women with hypertension. Early preterm births were also more frequent in women with hypertension. CONCLUSION: Hypertensive disorders of pregnancy were frequent among women with preterm births, and provider-initiated preterm births were the leading causes of premature births in this group. The factors significantly associated with hypertensive disorders among women with preterm births were obesity, excessive weight gain, and higher maternal age.

Hypertensive disorders during pregnancy as a major cause of preterm birth and adverse perinatal outcomes: findings from a Brazilian National Survey

ABSTRACT Objective This study aimed to evaluate the prevalence of hypertensive disorders during pregnancy among Brazilian women with preterm births and to compare the epidemiological characteristics and perinatal outcomes among preterm births of women with and without hypertension. Methods This was a secondary cross-sectional analysis of the Brazilian Multicenter Study on Preterm Birth. During the study period, all women with preterm births were included and further split into two groups according to the occurrence of any hypertensive disorder during pregnancy. Prevalence ratios were calculated for each variable. Maternal characteristics, prenatal care, and gestational and perinatal outcomes were compared between the two groups using χ2 and t-tests. Results A total of 4,150 women with preterm births were included, and 1,169 (28.2%) were identified as having hypertensive disorders. Advanced maternal age (prevalence ratio (PR) 2.49) and obesity (PR= 2.64) were more common in the hypertensive group. The gestational outcomes were worse in women with hypertension. Early preterm births were also more frequent in women with hypertension. Conclusion Hypertensive disorders of pregnancy were frequent among women with preterm births, and provider-initiated preterm births were the leading causes of premature births in this group. The factors significantly associated with hypertensive disorders among women with preterm births were obesity, excessive weight gain, and higher maternal age.

Diabetes among women with preterm births: outcomes of a Brazilian multicenter study.

OBJECTIVE: The objective was to compare the maternal and perinatal characteristics and outcomes between women with and without diabetes in a Brazilian cohort of women with preterm births. METHODS: This was an ancillary analysis of the Brazilian Multicenter Study on Preterm Birth, which included 4,150 preterm births. This analysis divided preterm births into two groups according to the presence of diabetes; pregestational and gestational diabetes were clustered in the same Diabetes Group. Differences between both groups were assessed using χ 2 or Student's t tests. RESULTS: Preterm births of 133 and 4,017 women with and without diabetes, respectively, were included. The prevalence of diabetes was 3.2%. Pregnant women aged ≥35 years were more common in the Diabetes Group (31.6% versus 14.0% non-diabetic women, respectively). The rate of cesarean section among patients with diabetes was 68.2% versus 52.3% in non-diabetic cases), with a gestational age at birth between 34 and 36 weeks in 78.9% of the cases and 62.1% of the controls. Large-for-gestational-age babies were 7 times more common in the Diabetes Group. CONCLUSION: Preterm birth among Brazilian women with diabetes was more than twice as prevalent; these women were older and had regular late preterm deliveries, usually by cesarean section. They also had a greater frequency of fetal morbidities, such as malformations and polyhydramnios, and a higher proportion of large-for-gestational-age and macrosomic neonates.

The challenge of adequately reporting preeclampsia for epidemiological surveillance: An example from a referral center in a middle-income country.

Adequately reporting of preeclampsia is a challenge. The aim of this study was to compare the diagnosis of preeclampsia based on clinical and laboratory findings and ICD-10 codes (International Classification of Diseases) at admission and discharge in a referral center, over a one-year period. Among 2,839 women admitted for childbirth, 208 presented confirmed preeclampsia, based on chart audits. Among these, 77.4% at admission presented ICD-10 codes assigned as hypertension, and 47.1% at discharge. In 14.4% of confirmed preeclampsia, ICD-10 codes for hypertension were not used. Adequate reporting of preeclampsia is key for clinical surveillance, counselling and guiding public health interventions.

Preterm births prevalence during the COVID-19 pandemic in Brazil: results from the national database.

The SARS-CoV-2 (COVID-19) pandemic impacted the health systems between and within countries, and in the course of the pandemic sexual and reproductive health services were the most disrupted. Findings from high-income settings have reported significant changes in preterm birth prevalence during the pandemic period. To understand the possible effects of the COVID-19 pandemic on preterm birth numbers at the Brazilian national level. We compare the number of preterm deliveries during the COVID-19 pandemic period (2020 and 2021) with previous years. We conducted a population-based cross-sectional study taking the period from January 2017 to December 2021 to account. We use individual-level live births data from the Brazilian Live Birth Information System (SINASC), and we estimate the odds ratio (OR) of preterm deliveries using propensity score weighting analysis in Brazil and its regions. During the study period (from 2017 to 2021), about 2.7 million live births were recorded per year, and the missing value for gestational age at delivery was less than 1.5%. The preterm birth prevalence slightly increased during the COVID-19 pandemic compared to the pre-pandemic period (11.32% in 2021 vs 11.09% in 2019, p-value < 0.0001). After adjusting for sociodemographic variables, the OR of preterm births in Brazil has significantly increased, 4% in 2020 (OR: 1.04 [1.03-1.05] 95% CI, p-value < 0.001), and 2% in 2021(OR: 1.02 [1.01-1.03] 95% CI, p-value < 0.001), compared to 2019. At the regional level, the preterm birth pattern in the South, Southeast and Northeast regions show a similar pattern. The highest odds ratio was observed in the South region (2020 vs 2019, OR: 1.07 [1.05-1.10] 95% CI; 2021 vs 2019, OR: 1.03 [1.01-1.06] 95% CI). However, we also observed a significant reduction in the ORs of preterm births in the northern region during the COVID-19 pandemic (2020 vs 2019, OR: 0.96 [0.94-0.98] 95% CI) and (2021 vs 2019, OR: 0.97 [0.95-0.99] 95% CI). Our analysis shows that the pandemic has increased regional variation in the number of preterm births in Brazil in 2020 and 2021 compared to the pre-pandemic years.

Impacts of childbirth on anxiety, disability, and depression: Results from a Brazilian cohort.

Conditions such as violence, drug abuse, sexual satisfaction, anxiety, depression, and disability interfere with a healthy pregnancy and can also account for maternal morbidity. The instrument WOICE was built by WHO to measure it. We applied WOICE in a prospective cohort of 125 pregnant women, using a before-after approach, during the third trimester of pregnancy, and after 42 until 90 days of childbirth. 60% had anxiety during pregnancy, decreasing to 48.8% after delivery (p = 0.07), and depression scores decreased from 7.56 to 5.80 (p = 0.014). Disability affected 62.4% and 56, respectively. 9.6% used drugs during pregnancy, reducing to 4.0% after delivery (RR 0.69, IC 0.49 - 0.69).

Brazilian Black Women are at Higher Risk for COVID-19 Complications: An Analysis of REBRACO, a National Cohort.

OBJECTIVE: To evaluate the impact of the race (Black versus non-Black) on maternal and perinatal outcomes of pregnant women with COVID-19 in Brazil. METHODS: This is a subanalysis of REBRACO, a Brazilian multicenter cohort study designed to evaluate the impact of COVID-19 on pregnant women. From February 2020 until February 2021, 15 maternity hospitals in Brazil collected data on women with respiratory symptoms. We selected all women with a positive test for COVID-19; then, we divided them into two groups: Black and non-Black women. Finally, we compared, between groups, sociodemographic, maternal, and perinatal outcomes. We obtained the frequency of events in each group and compared them using X2 test; p-values < 0.05 were considered significant. We also estimated the odds ratio (OR) and confidence intervals (CI). RESULTS: 729 symptomatic women were included in the study; of those, 285 were positive for COVID-19, 120 (42.1%) were Black, and 165 (57.9%) were non-Black. Black women had worse education (p = 0.037). The timing of access to the health system was similar between both groups, with 26.3% being included with seven or more days of symptoms. Severe acute respiratory syndrome (OR 2.22 CI 1.17-4.21), intensive care unit admission (OR 2.00 CI 1.07-3.74), and desaturation at admission (OR 3.72 CI 1.41-9.84) were more likely to occur among Black women. Maternal death was higher among Black women (7.8% vs. 2.6%, p = 0.048). Perinatal outcomes were similar between both groups. CONCLUSION: Brazilian Black women were more likely to die due to the consequences of COVID-19.

OBJETIVO: Avaliar o impacto da raça (negra versus não negra) nos desfechos maternos e perinatais de gestantes com COVID-19 no Brasil. MéTODOS: Esta é uma subanálise da REBRACO, um estudo de coorte multicêntrico brasileiro desenhado para avaliar o impacto da COVID-19 em mulheres grávidas. De fevereiro de 2020 a fevereiro de 2021, 15 maternidades do Brasil coletaram dados de mulheres com sintomas respiratórios. Selecionamos todas as mulheres com teste positivo para COVID-19; em seguida, as dividimos em dois grupos: mulheres negras e não negras. Finalmente, comparamos, entre os grupos, os resultados sociodemográficos, maternos e perinatais. Obtivemos a frequência dos eventos em cada grupo e comparamos usando o teste X2; Valores de p < 0,05 foram considerados significativos. Também estimamos o odds ratio (OR) e os intervalos de confiança (IC). RESULTADOS: 729 mulheres sintomáticas foram incluídas no estudo; desses, 285 foram positivos para COVID-19, 120 (42,1%) eram negros e 165 (57,9%) não eram negros. As mulheres negras apresentaram pior escolaridade (p = 0,037). O tempo de acesso ao sistema de saúde foi semelhante entre os dois grupos, com 26,3% incluídos com sete ou mais dias de sintomas. Síndrome respiratória aguda grave (OR 2,22 CI 1,17­4,21), admissão em unidade de terapia intensiva (OR 2,00 CI 1,07­3,74) e dessaturação na admissão (OR 3,72 CI 1,41­9,84) foram mais prováveis de ocorrer entre mulheres negras. A mortalidade materna foi maior entre as negras (7,8% vs. 2,6%, p = 0,048). Os resultados perinatais foram semelhantes entre os dois grupos. CONCLUSãO: Mulheres negras brasileiras tiveram maior probabilidade de morrer devido às consequências da COVID-19.

Brazilian Black Women are at Higher Risk for COVID-19 Complications: An Analysis of REBRACO, a National Cohort / Mulheres negras brasileiras correm maior risco de complicações da COVID-19: uma análise do REBRACO, uma coorte nacional

Abstract Objective To evaluate the impact of the race (Black versus non-Black) on maternal and perinatal outcomes of pregnant women with COVID-19 in Brazil. Methods This is a subanalysis of REBRACO, a Brazilian multicenter cohort study designed to evaluate the impact of COVID-19 on pregnant women. From February2020 until February 2021, 15 maternity hospitals in Brazil collected data on women with respiratory symptoms. We selected all women with a positive test for COVID-19; then, we divided them into two groups: Black and non-Black women. Finally, we compared, between groups, sociodemographic, maternal, and perinatal outcomes. We obtained the frequency of events in each group and compared them using X2 test; p-values < 0.05 were considered significant. We also estimated the odds ratio (OR) and confidence intervals (CI). Results 729 symptomatic women were included in the study; of those, 285 were positive for COVID-19, 120 (42.1%) were Black, and 165 (57.9%) were non-Black. Black women had worse education (p = 0.037). The timing of access to the health system was similar between both groups, with 26.3% being included with seven or more days of symptoms. Severe acute respiratory syndrome (OR 2.22 CI 1.17-4.21), intensive care unit admission (OR 2.00 CI 1.07-3.74), and desaturation at admission (OR 3.72 CI 1.41-9.84) were more likely to occur among Black women. Maternal death was higher among Black women (7.8% vs. 2.6%, p = 0.048). Perinatal outcomes were similar between both groups. Conclusion Brazilian Black women were more likely to die due to the consequences of COVID-19.

Resumo Objetivo Avaliar o impacto da raça (negra versus não negra) nos desfechos maternos e perinatais de gestantes com COVID-19 no Brasil. Métodos Esta é uma subanálise da REBRACO, um estudo de coorte multicêntrico brasileiro desenhado para avaliar o impacto da COVID-19 em mulheres grávidas. De fevereiro de 2020 a fevereiro de 2021, 15 maternidades do Brasil coletaram dados de mulheres com sintomas respiratórios. Selecionamos todas as mulheres com teste positivo para COVID-19; em seguida, as dividimos em dois grupos: mulheres negras e não negras. Finalmente, comparamos, entre os grupos, os resultados sociodemográficos, maternos e perinatais. Obtivemos a frequência dos eventos em cada grupo e comparamos usando o teste X2; Valores de p <0,05 foram considerados significativos. Também estimamos o odds ratio (OR) e os intervalos de confiança (IC). Resultados 729 mulheres sintomáticas foram incluídas no estudo; desses, 285 foram positivos para COVID-19, 120 (42,1%) eram negros e 165 (57,9%) não eram negros. As mulheres negras apresentaram pior escolaridade (p = 0,037). O tempo de acesso ao sistema de saúde foi semelhante entre os dois grupos, com 26,3% incluídos com sete ou mais dias de sintomas. Síndrome respiratória aguda grave (OR 2,22 CI 1,17-4,21), admissão em unidade de terapia intensiva (OR 2,00 CI 1,07-3,74) e dessaturação na admissão (OR 3,72 CI 1,41-9,84) foram mais prováveis de ocorrer entre mulheres negras. A mortalidade materna foi maior entre as negras (7,8% vs. 2,6%, p = 0,048). Os resultados perinatais foram semelhantes entre os dois grupos. Conclusão Mulheres negras brasileiras tiveram maior probabilidade de morrer devido às consequências da COVID-19.

Maternal Near Miss in Patients with Systemic Lupus Erythematosus.

OBJECTIVE: Systemic lupus erythematosus (SLE) may cause irreversible organ damage. Pregnancy with SLE may have severe life-threatening risks. The present study aimed to determine the prevalence of severe maternal morbidity (SMM) in patients with SLE and analyze the parameters that contributed to cases of greater severity. METHODS: This is a cross-sectional retrospective study from analysis of data retrieved from medical records of pregnant women with SLE treated at a University Hospital in Brazil. The pregnant women were divided in a control group without complications, a group with potentially life-threatening conditions (PLTC), and a group with maternal near miss (MNM). RESULTS: The maternal near miss rate was 112.9 per 1,000 live births. The majority of PLTC (83.9%) and MNM (92.9%) cases had preterm deliveries with statistically significant increased risk compared with the control group (p = 0.0042; odds ratio [OR]: 12.05; 95% confidence interval [CI]: 1.5-96.6 for the MNM group and p = 0.0001; OR: 4.84; 95%CI: 2.2-10.8 for the PLTC group). Severe maternal morbidity increases the risk of longer hospitalization (p < 0.0001; OR: 18.8; 95%CI: 7.0-50.6 and p < 0.0001; OR: 158.17; 95%CI: 17.6-1424,2 for the PLTC and MNM groups, respectively), newborns with low birthweight (p = 0.0006; OR: 3.67; 95%CI: 1.7-7.9 and p = 0.0009; OR: 17.68; 95%CI: 2-153.6) for the PLTC and MNM groups, respectively] as well as renal diseases (PLTC [8.9%; 33/56; p = 0.0069] and MNM [78.6%; 11/14; p = 0.0026]). Maternal near miss cases presented increased risk for neonatal death (p = 0.0128; OR: 38.4; 95%CI: 3.3-440.3]), and stillbirth and miscarriage (p = 0.0011; OR: 7.68; 95%CI: 2.2-26.3]). CONCLUSION: Systemic lupus erythematosus was significantly associated with severe maternal morbidity, longer hospitalizations, and increased risk of poor obstetric and neonatal outcomes.

OBJETIVO: Lúpus eritematoso sistêmico (LES) pode causar danos irreversíveis aos órgãos. A gravidez com LES pode ter riscos para condições ameaçadoras à vida. O presente estudo teve como objetivo determinar a prevalência de MMG em pacientes com LES e analisar os parâmetros que contribuíram para os casos de maior gravidade. MéTODOS: Trata-se de um estudo transversal retrospectivo a partir da análise de dados obtidos de prontuários de gestantes com LES atendidas em um Hospital Universitário no Brasil. As gestantes foram divididas em grupo controle sem intercorrências, grupo com condições potencialmente ameaçadoras a vida (CPAV) e grupo com near miss materno (NMM). RESULTADOS: A taxa de NMM foi de 112,9 por 1.000 nascidos vivos. A maioria dos casos de CPAV (83,9%) e NMM (92,9%) teve partos prematuros com risco aumentado estatisticamente significativo em comparação com o grupo controle (p = 0,0042; odds ratio [OR]: 12,05; intervalo de confiança [IC]: 1,5­96,6 para o grupo NMM e p = 0,0001; OR: 4,84; IC95%: 2,2­10,8 para o grupo CPAV). MMG aumenta o risco de maior tempo de internação (p < 0,0001; OR: 18,8; IC95%: 7,0­50,6 e p < 0,0001; OR: 158,17; IC95%: 17,6­1424,2 para os grupos CPAV e NMM, respectivamente), recém-nascidos com baixo peso (p = 0,0006; OR: 3,67; IC95%: 1,7­7,9 e p = 0,0009; OR: 17,68; IC95%: 2­153,6 para os grupos CPAV e NMM, respectivamente), bem como doenças renais (CPAV: 58,9%; 33/56; p = 0,0069 e NMM: 78,6%; 11/14; p = 0,0026)]. Os casos de NMM apresentaram risco aumentado para óbito neonatal (p = 0,0128; OR: 38,4; IC95%: 3,3­440,3), natimorto e aborto espontâneo (p = 0,0011; OR: 7,68; IC95%: 2,2­26,3). CONCLUSãO: Lúpus eritematoso sistêmico foi significativamente associado à morbidade materna grave, internações mais longas e risco aumentado de desfechos obstétricos e neonatais ruins.

Association between cervical length and gestational age at birth in singleton pregnancies: a multicentric prospective cohort study in the Brazilian population.

BACKGROUND: Short cervical length measured during the second trimester of pregnancy is an important risk factor for spontaneous preterm birth (sPTB). The aim of this study is to identify the association between mid-pregnancy cervical length (CL) and gestational age at birth in asymptomatic singleton pregnant women. METHODS: This is a prospective cohort study involving singleton pregnant women who participated in the screening phase of a Brazilian multicenter randomized controlled trial (P5 trial) between July 2015 and March 2019. Transvaginal ultrasound to measure CL was performed from 18 to 22 + 6 weeks. Women with CL ≤ 30 mm received vaginal progesterone (200 mg/day) until 36 weeks' gestation. For this analysis we considered all women with CL ≤ 30 mm receiving progesterone and a random selection of women with CL > 30 mm, keeping the populational distribution of CL. We obtained prognostic effectiveness data (area under receive operating characteristic curve (AUC), sensitivity and specificity and estimated Kaplan-Meier curves for preterm birth using different CL cutoff points. RESULTS: We report on 3139 women and identified a negative association between cervical length and sPTB. CL ≤ 25 mm was associated with sPTB < 28, sPTB < 34 and sPTB < 37 weeks, whereas a CL 25-30 mm was directly associated with late sPTB. CL by transvaginal ultrasound presented an AUC of 0.82 to predict sPTB < 28 weeks and 0.67 for sPTB < 34 weeks. Almost half of the sPTB occurred in nulliparous women and CL ≤ 30 mm was associated with sPTB at < 37 weeks (OR = 7.84; 95%CI = 5.5-11.1). The number needed to screen to detect one sPTB < 34 weeks in women with CL ≤ 25 mm is 121 and we estimated that 248 screening tests are necessary to prevent one sPTB < 34 weeks using progesterone prophylaxis. CONCLUSIONS: CL measured by transvaginal ultrasound should be used to predict sPTB < 34 weeks. Women with CL ≤ 30 mm are at increased risk for late sPTB.

Prognostic scores for prediction of maternal near miss and maternal death after admission to an intensive care unit: A narrative review.

Near miss morbidity and maternal death (defined as severe maternal outcomes - SMO) are the most important adverse outcomes in obstetric settings to assess delays and characteristics of health care management. Intensive care units (ICUs) represent an opportunity of adequate care for women who, in several cases, experienced earlier clinical delays in their maternal health care management. Some prognostic scores widely used in ICU have been useful in characterizing patients in terms of severity of illness in clinical studies, for evaluation of ICU performance, in quality improvement initiatives and for benchmark purposes. Prediction of SMO during the admission to the ICU could greatly improve obstetric care management. We reviewed the feasibility of the existing ICU clinical and obstetric prediction scores in predicting maternal near miss and maternal death.

Maternal Near Miss in Patients with Systemic Lupus Erythematosus / Near miss materno em pacientes com lupus eritematoso sistêmico

Abstract Objective Systemic lupus erythematosus (SLE) may cause irreversible organ damage. Pregnancy with SLE may have severe life-threatening risks. The present study aimed to determine the prevalence of severe maternal morbidity (SMM) in patients with SLE and analyze the parameters that contributed to cases of greater severity. Methods This is a cross-sectional retrospective study from analysis of data retrieved from medical records of pregnant women with SLE treated at a University Hospital in Brazil. The pregnant women were divided in a control group without complications, a group with potentially life-threatening conditions (PLTC), and a group with maternal near miss (MNM). Results The maternal near miss rate was 112.9 per 1,000 live births. The majority of PLTC (83.9%) and MNM (92.9%) cases had preterm deliveries with statistically significant increased risk compared with the control group (p = 0.0042; odds ratio [OR]: 12.05; 95% confidence interval [CI]: 1.5-96.6 for the MNM group and p = 0.0001; OR: 4.84; 95%CI: 2.2-10.8 for the PLTC group). Severe maternal morbidity increases the risk of longer hospitalization (p < 0.0001; OR: 18.8; 95%CI: 7.0-50.6 and p < 0.0001; OR: 158.17; 95%CI: 17.6-1424,2 for the PLTC and MNM groups, respectively), newborns with low birthweight (p = 0.0006; OR: 3.67; 95%CI: 1.7-7.9 and p = 0.0009; OR: 17.68; 95%CI: 2-153.6) for the PLTC and MNM groups, respectively] as well as renal diseases (PLTC [8.9%; 33/56; p = 0.0069] and MNM [78.6%; 11/14; p = 0.0026]). Maternal near miss cases presented increased risk for neonatal death (p = 0.0128; OR: 38.4; 95%CI: 3.3-440.3]), and stillbirth and miscarriage (p = 0.0011; OR: 7.68; 95%CI: 2.2-26.3]). Conclusion Systemic lupus erythematosus was significantly associated with severe maternal morbidity, longer hospitalizations, and increased risk of poor obstetric and neonatal outcomes.

Resumo Objetivo Lúpus eritematoso sistêmico (LES) pode causar danos irreversíveis aos órgãos. A gravidez com LES pode ter riscos para condições ameaçadoras à vida. O presente estudo teve como objetivo determinar a prevalência de MMG em pacientes com LES e analisar os parâmetros que contribuíram para os casos de maior gravidade. Métodos Trata-se de um estudo transversal retrospectivo a partir da análise de dados obtidos de prontuários de gestantes com LES atendidas em um Hospital Universitário no Brasil. As gestantes foram divididas em grupo controle sem intercorrências, grupo com condições potencialmente ameaçadoras a vida (CPAV) e grupo com near miss materno (NMM). Resultados A taxa de NMM foi de 112,9 por 1.000 nascidos vivos. A maioria dos casos de CPAV (83,9%) e NMM (92,9%) teve partos prematuros com risco aumentado estatisticamente significativo em comparação com o grupo controle (p = 0,0042; odds ratio [OR]: 12,05; intervalo de confiança [IC]: 1,5-96,6 para o grupo NMM e p = 0,0001; OR: 4,84; IC95%: 2,2-10,8 para o grupo CPAV). MMG aumenta o risco de maior tempo de internação (p < 0,0001; OR: 18,8; IC95%: 7,0-50,6 e p < 0,0001; OR: 158,17; IC95%: 17,6-1424,2 para os grupos CPAV e NMM, respectivamente), recémnascidos com baixo peso (p = 0,0006; OR: 3,67; IC95%: 1,7-7,9 e p = 0,0009; OR: 17,68; IC95%: 2-153,6 para os grupos CPAV e NMM, respectivamente), bem como doenças renais (CPAV: 58,9%; 33/56; p = 0,0069 e NMM: 78,6%; 11/14; p = 0,0026)]. Os casos de NMM apresentaram risco aumentado para óbito neonatal (p = 0,0128; OR: 38,4; IC95%: 3,3-440,3), natimorto e aborto espontâneo (p = 0,0011; OR: 7,68; IC95%: 2,2-26,3). Conclusão Lúpus eritematoso sistêmico foi significativamente associado à morbidade materna grave, internações mais longas e risco aumentado de desfechos obstétricos e neonatais ruins.

Diabetes among women with preterm births: outcomes of a Brazilian multicenter study

ABSTRACT Objective The objective was to compare the maternal and perinatal characteristics and outcomes between women with and without diabetes in a Brazilian cohort of women with preterm births. Methods This was an ancillary analysis of the Brazilian Multicenter Study on Preterm Birth, which included 4,150 preterm births. This analysis divided preterm births into two groups according to the presence of diabetes; pregestational and gestational diabetes were clustered in the same Diabetes Group. Differences between both groups were assessed using χ 2 or Student's t tests. Results Preterm births of 133 and 4,017 women with and without diabetes, respectively, were included. The prevalence of diabetes was 3.2%. Pregnant women aged ≥35 years were more common in the Diabetes Group (31.6% versus 14.0% non-diabetic women, respectively). The rate of cesarean section among patients with diabetes was 68.2% versus 52.3% in non-diabetic cases), with a gestational age at birth between 34 and 36 weeks in 78.9% of the cases and 62.1% of the controls. Large-for-gestational-age babies were 7 times more common in the Diabetes Group. Conclusion Preterm birth among Brazilian women with diabetes was more than twice as prevalent; these women were older and had regular late preterm deliveries, usually by cesarean section. They also had a greater frequency of fetal morbidities, such as malformations and polyhydramnios, and a higher proportion of large-for-gestational-age and macrosomic neonates.