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Background: The current version of the Fetal Medicine Foundation competing risks model for preeclampsia prediction has not been previously validated in Brazil., Objective: This study aimed (1) to validate the Fetal Medicine Foundation combined algorithm for the prediction of preterm preeclampsia in the Brazilian population and (2) to describe the accuracy and calibration of the Fetal Medicine Foundation algorithm when considering the prophylactic use of aspirin by clinical criteria., Study Design: This was a cohort study, including consecutive singleton pregnancies undergoing preeclampsia screening at 11 to 14 weeks of gestation, examining maternal characteristics, medical history, and biophysical markers between October 2010 and December 2018 in a university hospital in Brazil. Risks were calculated using the 2018 version of the algorithm available on the Fetal Medicine Foundation website, and cases were classified as low or high risk using a cutoff of 1/100 to evaluate predictive performance. Expected and observed cases with preeclampsia according to the Fetal Medicine Foundation-estimated risk range (≥1 in 10; 1 in 11 to 1 in 50; 1 in 51 to 1 in 100; 1 in 101 to 1 in 150; and <1 in 150) were compared. After identifying high-risk pregnant women who used aspirin, the treatment effect of 62% reduction in preterm preeclampsia identified in the Combined Multimarker Screening and Randomized Patient Treatment with Aspirin for Evidence-Based Preeclampsia Prevention trial was used to evaluate the predictive performance adjusted for the effect of aspirin. The number of potentially unpreventable cases in the group without aspirin use was estimated., Results: Among 2749 pregnancies, preterm preeclampsia occurred in 84 (3.1%). With a risk cutoff of 1/100, the screen-positive rate was 25.8%. The detection rate was 71.4%, with a false positive rate of 24.4%. The area under the curve was 0.818 (95% confidence interval, 0.773-0.863). In the risk range ≥1/10, there is an agreement between the number of expected cases and the number of observed cases, and in the other ranges, the predicted risk was lower than the observed rates. Accounting for the effect of aspirin resulted in an increase in detection rate and positive predictive values and a slight decrease in the false positive rate. With 27 cases of preterm preeclampsia in the high-risk group without aspirin use, we estimated that 16 of these cases of preterm preeclampsia would have been avoided if this group had received prophylaxis., Conclusion: In a high-prevalence setting, the Fetal Medicine Foundation algorithm can identify women who are more likely to develop preterm preeclampsia. Not accounting for the effect of aspirin underestimates the screening performance., (© 2024 The Authors.)

Background: Numerous fetal growth curves have been developed from various subpopulations and geographic locations worldwide., Objective: To determine the birthweight standard at the Maternity School and compare it to currently used standards in the clinical practice services., Study Design: Cross-sectional, observational, and descriptive study. Data from infants born between 2011 and 2016 were collected from the Maternity School Hospital of the Federal University of Rio de Janeiro to define the 10th, 25th, 50th, 75th, and 90th percentiles of the birthweight by gestational age. It was determined the performance of the INTERGROWTH-21st, Fenton, Alexander, and Lubchenco for the Maternity School standards., Results: After the 33rd week of pregnancy, the INTERGROWTH standard was similar to the local standard for small-for-gestational-age infants and Fenton for large-for-gestational-age infants at Maternity School Hospital. The INTERGROWTH standard was found to be inadequate to classify small-for-gestational-age infants, which are babies at major risk for morbidity and mortality at the onset of the 33rd week of pregnancy., Conclusion: It was possible to define reference values for birthweight for the maternal school hospital considering at least 33 weeks of pregnancy with a 95% confidence interval. The comparison of the INTERGROWTH, Fenton, Alexander, and Lubchenko standards to the maternal school hospital curve showed that the Fenton curve was the most suitable for the diagnosis of small for gestational age., (© 2024 The Authors.)

Objectives: To evaluate the prevalence and perinatal repercussions of preeclampsia (PE) after the implementation of a prophylaxis protocol with aspirin in singleton pregnancy at Maternity School of Federal University of Rio de Janeiro, Rio de Janeiro, Brazil (2015-2106)., Methodology: PE prevalence according to gestational age (GA) and the prevalence ratio (PR) between PE and prematurity, small for gestational age (SGA), and fetal death were calculated in patients assisted during 2015 and 2016., Results: PE occurred in 373(10.75%) of 3468 investigated cases, where PE < 37 weeks was of 2.79% and PE greater than 37 weeks was of 7.95%. A total of 413 (11.9%) prematurity cases, 320 SGA (9.22%), and 50 fetal deaths (1.44%) occurred. In the PE group, 97 premature newborns (PR 0.90) and 51 SGA (PR 1.16) were born, and two fetal deaths occurred (PR 7.46). Concerning PE < 37 weeks, 27 SGA cases (PR 1.42) and two fetal deaths (PR 2.62) were observed. Regarding PE greater than 37 weeks, 24 SGA (PR 1.09) were born, and no fetal deaths were observed. Our findings were compared to previously published results., Conclusions: PE was significantly associated with SGA newborns, especially premature PE. Prescribing aspirin for PE prophylaxis based only on clinical risk factors in a real-life scenario does not appear to be effective but resulted in a PE screening and prophylaxis protocol review and update at ME/UFRJ., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023. Published by Elsevier B.V.)

Objective: To validate a combined algorithm for early prediction of pre-eclampsia (PE) in the Brazilian population., Study Design: This is an unplanned secondary analysis of a cohort study. Consecutive singleton pregnancies undergoing first-trimester screening for PE involving examination of maternal characteristics, medical history, and biophysical markers were considered eligible. Women were classified as low-or high-risk using a cutoff of 1/200, but the individual risk was not used to dictate management, as aspirin prophylaxis was given to women based solely on clinical risk factors. Receiver-operating characteristics (ROC) curves for PE, preterm PE(PE < 37) and early 34(PE < 34) were constructed and detection rates(DR) and false-positive rates(FPR) were calculated, adjusting for the effect of aspirin. Propensity score analysis was utilized to account for possible confounding by indication., Main Outcome Measures: Screening performance and PE rates., Results: Among 1695 women, 323(19.1%) were classified as high-risk for PE and 1372(80.9%) were considered low-risk. Aspirin use was registered in 62(3.7%) in the high-risk group and 33(1.9%) in the low-risk group. There were 164(9.7%) women who developed PE, including 41(2.4%) with PE < 37 and 18(1.1%) PE < 34.Subgroups with aspirin had higher incidence of PE, suggest confounding by indication. The algorithm had an AUC of 0.87, DR of 72% for PE < 34; an AUC of 0.8, DR of 59% for PE < 37, both with FPR of 18%. Accounting for effect of aspirin, we observed an improvement in DR of PE < 37 to 67%., Conclusion: Using combined predictive algorithm for preterm PE prediction is feasible in clinical practice in low/middle-income countries. Aspirin use needs to be accounted for when evaluating the performance of screening., (Copyright © 2021 International Society for the Study of Hypertension in Pregnancy. Published by Elsevier B.V. All rights reserved.)

Background: FMF2012 is an algorithm developed by the Fetal Medicine Foundation (FMF) to predict pre-eclampsia on the basis of maternal characteristics combined with biophysical and biochemical markers. Afro-Caribbean ethnicity is the second risk factor, in magnitude, found in populations tested by FMF, which was not confirmed in a Brazilian setting., Objective: This study aimed to analyze the performance of pre-eclampsia prediction software by customization of maternal ethnicity., Methods: This was a cross-sectional observational study, with secondary evaluation of data from FMF first trimester screening tests of singleton pregnancies. Risk scores were calculated from maternal characteristics and biophysical markers, and they were presented as the risk for early pre-eclampsia (PE34) and preterm pre-eclampsia (PE37). The following steps were followed: (1) identification of women characterized as black ethnicity; (2) calculation of early and preterm pre-eclampsia risk, reclassifying them as white, which generated a new score; (3) comparison of the proportions of women categorized as high risk between the original and new scores; (4) construction of the receiver operator characteristic curve; (5) calculation of the area under the curve, sensitivity, and false positive rate; and (6) comparison of the area under the curve, sensitivity, and false positive rate of the original with the new risk by chi-square test., Results: A total of 1531 cases were included in the final sample, with 219 out of 1531 cases (14.30; 95% CI 12.5-16.0) and 182 out of 1531 cases (11.88%; 95% CI 10.3-13.5) classified as high risk for pre-eclampsia development, originally and after recalculating the new risk, respectively. The comparison of FMF2012 predictive model performance between the originally estimated risks and the estimated new risks showed that the difference was not significant for sensitivity and area under the curve, but it was significant for false positive rate., Conclusions: We conclude that black ethnicity classification of Brazilian pregnant women by the FMF2012 algorithm increases the false positive rate. Suppressing ethnicity effect did not improve the test sensitivity. By modifying demographic characteristics, it is possible to improve some performance aspects of clinical prediction tests., (©Karina Bilda De Castro Rezende, Antonio José Ledo Alves Cunha, Joffre Amim Jr, Wescule De Moraes Oliveira, Maria Eduarda Belloti Leão, Mariana Oliveira Alves Menezes, Ana Alice Marques Ferraz De Andrade Jardim, Rita Guérios Bornia. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 22.11.2019.)

Objective: To evaluate the impacts of maternal risk factors described by the Fetal Medicine Foundation's 2012 algorithm (FMF2012) in a Brazilian population. Methods: All singleton pregnancies submitted to first-trimester preeclampsia (PE) screening using the FMF2012 algorithm were considered for study inclusion. Maternal factors, recorded via a patient questionnaire, were described and compared between PE outcome groups. A Gaussian regression model was derived to measure the effects of maternal factors, and to identify factors that contributed significantly ( p  < .05) to the alteration of gestational age at delivery, in pregnancies with PE. Results: Of the 1934 cases considered for study inclusion, the final sample consisted of 1531 cases. The sample included 120 (7.8%) cases of PE, of which 26 (1.7%) were preterm PE (PE < 37 weeks) and 11 (0.72%) were early PE (PE < 34 weeks). The PE rate did not differ according to ethnicity, smoking, family history of PE, or use of assisted reproductive technology. Significant differences ( p  < .05) between the normal and PE groups in maternal age, maternal weight, previous history of PE, chronic hypertension, and types 1 and 2 diabetes were detected. Conclusions: The significance and magnitude of associations of maternal factors in our sample differed from those incorporated in the FMF2012 model, implying the need to derive a fitted model for our population.

Pregnant women with Gestational Diabetes Mellitus (GDM) have a greater chance of developing Hypertensive Disorders of Pregnancy (HDP) by the effect of insulin resistance in nitric oxide action.This study aims to describe factors associated with the development of HDP in pregnant women with GDM, assisted in a public maternity hospital in Rio de Janeiro, Brazil. This is a cross-sectional study including 292 pregnant adult women with GDM assisted at Maternidade Escola of the Universidade Federal do Rio de Janeiro. The women were examined during pregnancy and postpartum. Data were collected between 2011 and 2014 from medical records and through in-person interviews. The Student t-test and the chi-square test were applied; additionally, the magnitude of the association between independents variables and HDP was estimated by logistic regression models. The occurrence of HDP was observed in 19.5% (n=57) of the evaluated women: 9.2% had pregnancy hypertension and 10.3% had preeclampsia. The chance of HDP was higher among women with GDM in a previous pregnancy (Odds Ratio-OR=3.8; Confidence Interval of 95%-95% CI: 1.1; 12.8) and among those who were 35 years old or older (OR 3.3; 95% CI: 1.2; 8.7) after controlling the effects of pre-gestational weight and dietary ingestion of calcium, riboflavin, thiamine, vitamin A and protein. Women that had any alteration in blood pressure in a previous pregnancy and those over 35 years old were under higher risk of HDP. The findings may help in the design of interventions aiming to prevent HDP in adult women., (Copyright © 2017 International Society for the Study of Hypertension in Pregnancy. Published by Elsevier B.V. All rights reserved.)

Preeclampsia (PE) prevalence studies in Brazil are both scarce and not divided in accordance with gestational age at delivery. We accessed PE prevalence according to delivery before 34, 37 and 42weeks in a cross-sectional study including 4464 single deliveries. PE was diagnosed in 301 cases (6.74%); Prevalence of PE was 0.78%; 1.92% and 6.74% according to deliveries before 34, 37 and 42weeks. PE was associated with fetal death, prematurity and small for gestational age newborns., (Copyright © 2016 International Society for the Study of Hypertension in Pregnancy. Published by Elsevier B.V. All rights reserved.)