Fetal deaths in Brazil: What changed in the last decade and what can we learn from the current situation?

OBJECTIVE: To determine fetal death rates (FDRs) according to maternal characteristics in Brazil. METHODS: A serial cross-sectional analysis was conducted based on vital statistics of the Brazilian population from 2007 to 2019. FDRs were estimated according to maternal and pregnancy characteristics. Annual percent change (APC) of FDR was assessed by joinpoint regression model. Causes of death were compared between the ante-/intrapartum periods. RESULTS: A significant reduction in FDR occurred in Brazil during 2007-2019 (11.1 and 10.43 in 2007 and 2019, respectively; APC -0.44). Only the northern region showed an increase in FDR. In 2019, the northeast and southeast had the highest and lowest FDRs, respectively (11.4 and 7.8/1000 live births). In adolescents, FDR increased from 2007 to 2016 (APC 1.75). In 2019, missing information was significantly high for maternal skin color (99.7%), schooling (17.0%), and age (7.0%) in fetal death registries. The most common causes of fetal death in the ante-/intrapartum periods were fetus and newborn affected by maternal conditions. CONCLUSION: A reduction in FDR has been achieved in Brazil over the last decade. However, there is an unmet need for decreasing social and regional disparities. A better system to attribute causes of death is needed to identifying priorities in maternal-fetal health care.

Role of Body Mass Index and gestational weight gain on preterm birth and adverse perinatal outcomes.

The association of body mass index (BMI) and gestational weight gain (GWG) with preterm birth (PTB) remains controversial in the literature. To evaluate different maternal BMI and GWG categories, according to the initial BMI, in relation to different PTB subtypes and perinatal outcomes, we conducted a secondary analysis of a multicentre cross-sectional study, along with a nested case-control study including PTB from 20 centers in Brazil. Pre-pregnancy underweight was associated with a lower risk of provider-initiated PTB, while overweight and obesity were associated with a higher risk of provider-initiated PTB and a lower risk of spontaneous preterm birth. Insufficient gestational weight gain was associated with a higher prevalence of spontaneous PTB and preterm premature rupture of membranes. Excessive GWG correlated with a higher prevalence of provider-initiated PTB or preterm premature rupture of membranes. Irrespective of the initial BMI, the greater the rate of GWG, the higher the predicted probability of all PTB subtypes, except for spontaneous PTB in underweight women and those with normal BMI. On multivariate analysis, the initial BMI was shown to be the only factor associated with pi-PTB. Briefly, further studies evaluating the risk for PTB should consider that GWG may have a different role depending on the initial BMI and PTB subtype.

Cluster analysis identifying clinical phenotypes of preterm birth and related maternal and neonatal outcomes from the Brazilian Multicentre Study on Preterm Birth.

OBJECTIVE: To explore a conceptual framework of clinical conditions associated with preterm birth (PTB) by cluster analysis, assessing determinants for different PTB subtypes and related maternal and neonatal outcomes. METHODS: Secondary analysis of the Brazilian Multicentre Study on Preterm Birth of 33 740 births in 20 maternity hospitals between April 2011 and July 2012. In accordance with a prototype concept based on maternal, fetal, and placental conditions, an adapted k-means model and fuzzy algorithm were used to identify clusters using predefined conditions. The mains outcomes were phenotype clusters and maternal and neonatal outcomes. RESULTS: Among 4150 PTBs, three clusters of PTB phenotypes were identified: women who had PTB without any predefined conditions; women with mixed conditions; and women who had pre-eclampsia, eclampsia, HELLP syndrome and fetal growth restriction. The prevalence of different preterm subtypes differed significantly in the three clusters, varying from 80.95% of provider-initiated PTBs in cluster 3-6.62% in cluster 1 (P<0.001). Although some maternal characteristics differed among the clusters, maternal and neonatal outcomes did not. CONCLUSIONS: The analysis identified three clusters with distinct phenotypes. Women from the different clusters had different subtypes of PTB and maternal and pregnancy characteristics.

Twin Pregnancy in Brazil: A Profile Analysis Exploring Population Information from the National Birth E-Registry on Live Births.

Birth records as SINASC (Brazilian Live Birth Information System) are highlighted in uncommon conditions such as twin pregnancy whose prevalence rarely exceeds 2 to 3% of the total number of births. The objective of this study was to assess the prevalence of twin pregnancies in Brazil and their maternal and perinatal characteristics using data from the national birth e-Registry. All births in Brazil from 2011 to 2014 were assessed. Prevalence of twin pregnancies per region was assessed and correlated with the Human Development Index (HDI). Sociodemographic and obstetric factors and main perinatal outcomes were assessed for the first and second twin, in comparison to singletons, and the second twin compared to the first twin, with PR and 95%CI. A multiple logistic regression analysis was conducted to identify factors independently associated with a low 5-minute Apgar score in twin pregnancies. Twin pregnancy occurred in 1.13% in Brazil, with a higher prevalence in regions with a higher HDI. It was associated with a complete higher level of education (22.9% versus 16.3% for singles) and maternal age > 35 years (17.5% versus 11.4% for singles). Preterm birth <32 weeks (prevalence ratio-PR 12.13 [11.93 - 12.33]), low birth weight (PR 17.8 [17.6-18.0] for the first and PR 20.1 [19.8-20.3] for the second twin), and low Apgar score (PR 2.9 [2.8-3.0] for the first and PR 2.7 [2.6-2.8] for the second twin) were the most important perinatal outcomes associated with twin pregnancies. A 5-minute Apgar score < 7 among twins was associated with inadequate prenatal care, extreme preterm birth, vaginal delivery, intrapartum cesarean, and combined delivery. Twin pregnancy in Brazil is associated with worse perinatal outcomes, especially for the second twin.

Effect of thyroid-stimulating hormone in 68Ga-DOTATATE PET/CT of radioiodine-refractory thyroid carcinoma: a pilot study.

BACKGROUND: Radioiodine-refractory thyroid carcinomas (RAIRs) are characterized by reduced expression of sodium-iodine symporter, rising serum thyroglobulin levels, and negative whole-body radioiodine scans. Interestingly, RAIRs continue to express somatostatin receptors and can be identified with Ga-DOTATATE PET/CT imaging. OBJECTIVE: The objective of this study was to compare lesion detectability in Ga-DOTATATE PET/CT performed with elevated thyroid-stimulating hormone (eTSH) levels with suppressed thyroid-stimulating hormone (sTSH) levels. PATIENTS AND METHODS: Fifteen patients with RAIR were prospectively enrolled in this pilot study. All patients underwent two Ga-DOTATATE PET/CT studies: with sTSH and with eTSH (after 30 days of levothyroxine withdrawal). All studies were blindly evaluated for differences pertaining to maximum standardized uptake values, detection of local recurrence, cervical lymph node (LN) metastases, cervical levels involved, distant LN metastases, lung metastases, and bone metastases. Reference standard consisted of fluorine-18-fluorodeoxyglucose PET/CT imaging, neck ultrasound, biopsy, and follow-up. RESULTS: Ga-DOTATATE PET/CT performed with both sTSH or eTSH was highly sensitive (91-100%) for detecting RAIR metastases. Ga-DOTATATE PET/CT with eTSH detected a higher total number of lesions (P=0.002), higher rate of cervical and distant LN metastases (P=0.002 and 0.0313, respectively), and significantly higher maximum standardized uptake values for cervical and distant LN metastases (P=0.0010 and 0.0078, respectively) when compared with sTSH. CONCLUSION: Ga-DOTATATE PET/CT presents a high sensitivity in detecting metastatic lesions in patients with RAIR. Detectability increases with iodine-resistance, both with and without higher thyroid-stimulating hormone levels. These findings might improve staging and subsequent treatment planning, especially with radiolabeled somatostatin analogs.

Calculation of the convective heat transfer coefficient and thermal diffusivity of cucumbers using numerical simulation and the inverse method.

Cooling of fruits and vegetables, immediately after the harvest, has been a widely used method for maximizing post-harvest life. In this paper, an optimization algorithm and a numerical solution are used to determine simultaneously the convective heat transfer coefficient, hH, and the thermal diffusivity, α, for an individual solid with cylindrical shape, using experimental data obtained during its cooling. To this end, the one-dimensional diffusion equation in cylindrical coordinates is discretized and numerically solved through the finite volume method, with a fully implicit formulation. This solution is coupled to an optimizer based on the inverse method, in which the chi-square referring to the fit of the numerical simulation to the experimental data is used as objective function. The optimizer coupled to the numerical solution was applied to experimental data relative to the cooling of a cucumber. The obtained results for α and hH were coherent with the values available in the literature. With the results obtained in the optimization process, the cooling kinetics of cucumbers was described in details.

Comparison of boundary conditions to describe drying of turmeric (Curcuma longa) rhizomes using diffusion models.

Turmeric is harvested with high moisture content and should be dried before the storage. It is observed that drying is quickest when the rhizomes are peeled and cut in small cylindrical pieces. In order to describe the process, normally a diffusive model is used, considering boundary condition of the first kind for the diffusion equation. This article uses analytical solutions considering boundaries conditions of the first (model 1) and third (model 2) kinds coupled to an optimizer to describe the drying process. It is shown that, for model 1, the fit of the analytical solution to the experimental data is biased, despite the good statistical indicators (chi-square χ(2) equal to 1.7095 × 10(-3) and coefficient of correlation R(2) of 0.9988). For model 2, the errors of the experimental points about the simulated curve can be considered randomly distributed, and the statistical indicators are much better than those obtained for model 1: χ(2) = 3.5596 × 10(-4) and R(2) = 0.9996.

A novel intraurethral device diagnostic index to classify bladder outlet obstruction in men with lower urinary tract symptoms.

Objectives. Using a urethral device at the fossa navicularis, bladder pressure during voiding can be estimated by a minimal invasive technique. This study purposes a new diagnostic index for patients with lower urinary tract symptoms (LUTSs). Methods. Fifty one patients presenting with LUTSs were submitted to a conventional urodynamic and a minimal invasive study. The results obtained through the urethral device and invasive classic urodynamics were compared. The existing bladder outlet obstruction index (BOOI) equation that classifies men with LUTSs was modified to allow minimal invasive measurement of isovolumetric bladder pressure in place of detrusor pressure at maximum urine flow. Accuracy of the new equation for classifying obstruction was then tested in this group of men. Results. The modified equation identified men with obstruction with a positive predictive value of 68% and a negative predictive value of 70%, with an overall accuracy of 70%. Conclusions. The proposed equation can accurately classify over 70% of men without resorting to invasive pressure flow studies. We must now evaluate the usefulness of this classification for the surgical treatment of men with LUTSs.