Background/Objectives: There is a constant need to improve the prediction of adverse neurodevelopmental outcomes in growth-restricted neonates who were born prematurely. The aim of this retrospective study was to evaluate the predictive performance of a three-layered neural network for the prediction of adverse neurodevelopmental outcomes determined at two years of age by the Bayley Scales of Infant and Toddler Development, 3rd edition (Bayley-III) scale in prematurely born infants by affected by intrauterine growth restriction (IUGR). Methods: This observational retrospective study included premature newborns with or without IUGR admitted to a tertiary neonatal intensive care unit from Romania, between January 2018 and December 2022. The patients underwent assessment with the Amiel-Tison scale at discharge, and with the Bailey-3 scale at 3, 6, 12, 18, and 24 months of corrected age. Clinical and paraclinical data were used to construct a three-layered artificial neural network, and its predictive performance was assessed. Results: Our results indicated that this type of neural network exhibited moderate predictive performance in predicting mild forms of cognitive, motor, and language delays. However, the accuracy of predicting moderate and severe neurodevelopmental outcomes varied between moderate and low. Conclusions: Artificial neural networks can be useful tools for the prediction of several neurodevelopmental outcomes, and their predictive performance can be improved by including a large number of clinical and paraclinical parameters.

Background: Premature birth remains a public health problem worldwide, involving a broader context and a multidisciplinary team aimed at combating this phenomenon as much as possible. The consumption of addictive substances by women who are pregnant can occur in different social contexts and at different stages of their lives, which modulate its extent. Obstetricians and anesthetists should consider the anesthetic maternal risks that may arise due to these addictive behaviors. The maternal anesthetic risk is higher in women who are pregnant with a medium-level of education, imbalanced nutrition, stress associated with physical or mental activity, affected sleep hygiene, and failed marriages. Objectives: The objectives of the study refer to analyzing the impact of exogenous factors and the anesthetic risk on premature birth for women who were pregnant during the pandemic period and in women who were pregnant without COVID-19 infection. The authors studied a significant sample of 3588 women who were pregnant without COVID-19 infection, among whom 3291 gave birth at term and 297 gave birth prematurely. Methods: The methods analyzed consist of studying the specialized literature regarding the impact of exogenous factors and parturient’s anesthetic risk on premature birth and identifying the regional risk profile of women who are pregnant in the southeast region of Romania compared to that identified in the specialized literature. In the analytical methods, we used a linear regression to study the incidence of exogenous risk factors on anesthetic risk in women who were pregnant with premature births compared to those with full-term births. Results: The results confirm the significant impact of exogenous factors on anesthetic risk and the significant impact of anesthetic risk on premature births. The novelty of the study lies in highlighting the modification of the regional exogenous risk profile during the pandemic period in southeast Romania due to unfavorable socio-economic causes and the translation of grade I and II prematurity events to higher frequencies with an increased level of maternal anesthetic risk. Conclusions: The study findings show that the anesthetic risk is maximized in parturients with a middle school education. Additionally, the anesthetic risk of patients who are pregnant increases with the intensification of smoking adherence and its maintenance throughout the pregnancy at the same intensity. Our study aims to provide a basis for the diversification and development of community intervention programs in the post-COVID-19 era, considering the reshaping of social models and the repositioning of social principles and values. Obstetricians and anesthetists must know and promote family values to harmonize the lives of family members and provide a better life for the mother and child.

(1) Introduction. Eclampsia is a rare complication that can occur during pregnancy and has a significant impact on maternal and neonatal outcomes. The aim of this study was to investigate the risk factors associated with significant maternal morbidity after an eclamptic seizure. (2) Methods. An observational retrospective study was performed in three maternity hospitals in Romania between 2015 and 2023 and included pregnant patients diagnosed with eclampsia. Clinical and paraclinical data were investigated, and the impact of several risk factors was assessed using multiple logistic regression analysis. The results were reported as risk ratios (RRs) and 95% confidence intervals (Cis). (3) Results. A total of 104 patients with preeclampsia, of whom 23 experienced eclamptic seizures, were included in this study. A total of 82.6% of the patients diagnosed with eclampsia experienced a form of significant morbidity (stroke, PRES syndrome, or any organ failure/dysfunction). Our regression analysis revealed that advanced maternal age (RR: 12.24 95% CI: 4.29–36.61, p = 0.002), the presence of thrombotic disorders (RR: 9.17, 95% CI: 3.41–23.70, p = 0.03), obesity (RR: 4.89, 95% CI: 0.78–18.15, p = 0.036), and smoking status (RR: 2.18, 95% CI: 0.13- 6.51, p = 0.042) significantly increase the risk of maternal comorbidities. (4) Conclusions. Careful monitoring of pregnant patients, adequate weight control during pregnancy, and correct anticoagulation of individual patients could reduce the extent of postpartum comorbidities that can result from an eclamptic seizure.