Background: To investigate the association between late preterm antenatal corticosteroid treatment and outcome in late preterm neonates born to mothers with gestational diabetes mellitus, Methods: All patients with gestational diabetes mellitus who had a late preterm delivery at Etlik Lady Zübeyde Hospital between 2017 and 2021 were included. Women who met the inclusion criteria and were not given antenatal corticosteroid treatment during current pregnancy before 34 0/7 weeks of gestation were divided into two groups according to whether or not they received late preterm antenatal corticosteroid treatment. The two groups were compared in terms of adverse neonatal complications. The main outcomes were composite respiratory outcome and composite neonatal outcome. Logistic regression analysis was used to determine additional potential predictors of neonatal outcome. Results: This retrospective cohort study included a total of 400 participants with gestational diabetes mellitus who had a late preterm delivery within the study period. Of these women, 196 (49%) received late preterm antenatal corticosteroid treatment. Main outcomes showed no difference. Decreasing gestational age at birth was identified as an independent risk factor predicting both composite respiratory outcome and composite neonatal outcome in multivariate logistic regression analysis. Conclusions: Antenatal corticosteroid treatment at or after 34 0/7 weeks of gestation in women with gestational diabetes mellitus who had a late preterm delivery was not associated with improvement in adverse neonatal outcomes. Decreasing gestational age at birth was the only independent risk factor predicting composite neonatal and composite respiratory outcomes.

Advances in diagnostic and therapeutic methods have led to a paradigm shift in the management of bronchopulmonary dysplasia (BPD). The lack of evidence-based data in this area has led to variations in clinical practice. The aim of this study was to identify these differences and compare them with recommendations based on pathophysiology. The study was designed as an observational online survey of neonatologists from level 3 to 4 neonatal intensive care units caring for premature infants at increased risk of BPD and born before 28 weeks’ gestation. Respondents were invited to participate in the study through the portal of the Turkish Neonatal Society. Participants were surveyed online about preferred ventilation modes, settings and clinical management of these patients through each respiratory distress syndrome, evolving BPD and severe BPD phases. A total of 39 centers involved in the study. Pressure-control assist-control volume-guaranteed was the most commonly preferred ventilation mode in respiratory distress syndrome and evolving BPD, while high frequency oscillatory ventilation was most commonly used in severe BPD. The use of synchronized intermittent mandatory ventilation volume-guaranteed pressure support ventilation increased with disease progression. Ventilation settings were found to be changed according to pathophysiological recommendations, but not to the extent recommended. The study shows that early ventilation strategies are predominantly maintained in the later phases of BPD, although there are notable differences between centers.

The objective of this study is to determine the predictive value of magnetic resonance imaging (MRI), amplitude-integrated electroencephalography (aEEG), the Hammersmith Neonatal Neurological Examination (HNNE), and the General Movements Assessment (GMA) for cerebral palsy (CP) in neonates with hypoxic–ischemic encephalopathy (HIE), and to evaluate whether combining these modalities improves diagnostic accuracy. In this prospective two-center cohort study, 53 term or late-preterm infants with HIE treated with standardized therapeutic hypothermia (33.5°C for 72 hours) were evaluated. aEEG and MRI findings were compared with concurrent HNNE and GMA results. CP was diagnosed during follow-up by a pediatric neurologist blinded to neonatal data. Diagnostic performance was analyzed using receiver-operating characteristic curves and multivariable logistic regression according to the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) guidelines. CP developed in 11 infants (20.8%). aEEG showed the highest predictive accuracy (area under the curve = 0.816 [95% confidence interval: 0.65–0.98]), and abnormal aEEG independently predicted CP (odds ratio = 18.5, p = 0.004). The combined “MRI or aEEG abnormal” model achieved the best overall accuracy (86.8%), with sensitivity = 90.9% and negative predictive value = 97.3%. MRI and HNNE had moderate predictive value, whereas GMA showed high specificity but low sensitivity. aEEG emerged as a robust and independent early biomarker for CP prediction after HIE. Combining aEEG with MRI substantially enhanced diagnostic precision, reflecting complementary functional and structural brain injury mechanisms. Although HNNE and GMA add screening value, they are insufficient alone. Standardized multimodal protocols integrating structural (MRI), functional (aEEG), and clinical (HNNE–GMA) assessments should be incorporated into clinical practice to improve early prognostication and guide neuroprotective interventions.

Background: The risk of morbidity and mortality increases in newborns requiring postpartum transport. Various scoring systems have been developed to determine mortality risk, such as the Transport Risk Index of Physiologic Stability (TRIPS) and Mortality Index for Neonatal Transportation (MINT) scores. This study aimed to evaluate the efficiency of MINT and TRIPS scores by comparing them with the Score for Neonatal Acute Physiology-Perinatal Extension (SNAPPE-II) scoring system in preterm and term infants transported within the first 24 h after birth. Methods: This retrospective study included neonates transported within the first 24 h of life to the NICU of Etlik Zübeyde Hanım Women’s Health Training and Research Hospital between 2016 and 2021, following ethics approval. Perinatal data, admission clinical and laboratory parameters, and TRIPS, MINT, and SNAPPE-II scores calculated within the were recorded. Mortality and short-term morbidities were analysed. Group comparisons were conducted using Mann–Whitney U and chi-square tests. Predictive performance and optimal cut-off values were determined by receiver operating characteristic curve analysis using the Youden index. p value <0.05 was considered significant. Results: A total of 137 newborns were included in the study. Seventy-two cases (52.6%) were preterm, and 65 cases (47.4%) were term newborns. The median gestational age and birthweight were 35.6 weeks and 2485 g, respectively. A total of 10 patients died. For mortality prediction, the areas under the curve for TRIPS, MINT, and SNAPPE-II were 0.919, 0.907, and 0.973, respectively (p < 0.001). The determined cut-off values for TRIPS, MINT, and SNAPPE-II were >19, >4, and >35, respectively. The TRIPS score showed the best accuracy for prediction of mortality in preterm infants. Conclusions: Our data show that MINT and TRIPS scores are efficient beyond SNAPPE-II. They demonstrated high diagnostic effectiveness in predicting mortality in preterm and term infants. The TRIPS score exhibits superior mortality prediction in preterm infants.